From d862d3edb19e733fc08bb4eafe922194f11fcb2b Mon Sep 17 00:00:00 2001 From: ComfyUI Wiki Date: Fri, 27 Feb 2026 22:06:24 +0800 Subject: [PATCH 01/15] Update pricing --- tutorials/partner-nodes/pricing.mdx | 63 +- zh-CN/tutorials/partner-nodes/pricing.mdx | 1015 +++++++++++---------- 2 files changed, 565 insertions(+), 513 deletions(-) diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index 2078ce6c2..7dbef5bca 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -1,15 +1,11 @@ --- title: "Pricing" -description: "This article lists the pricing of the current Partner Nodes." +description: "This article lists the pricing of the current Partner Nodes. All prices are in credits (211 credits = 1 USD)." sidebarTitle: "Pricing" mode: wide --- -The following table lists the pricing of the current Partner Nodes. All prices are in credits. - -211 credits = 1 USD - -> Please refer to the prices shown in the ComfyUI interface for the actual pricing. +The following table lists the pricing of the current Partner Nodes. All prices are in credits. ## BFL @@ -29,9 +25,11 @@ The following table lists the pricing of the current Partner Nodes. All prices a ## Bria -| Product Name | Configuration | Credits | Category | -| :-------------- | :----------------------------------- | :--------- | :------- | -| Bria Image Edit | endpoint: v2/image/edit, model: fibo | 8.44 / run | Image | +| Product Name | Configuration | Credits | Category | +| :--------------------------- | :---------------------------------------- | :---------- | :------- | +| Bria Image Edit | endpoint: v2/image/edit, model: fibo | 8.44 / run | Image | +| Bria Image Remove Background | endpoint: v2/image/edit/remove_background | 3.8 / run | Image | +| Bria Video Remove Background | endpoint: v2/video/edit/remove_background | 29.54 / sec | Video | ## ByteDance @@ -41,7 +39,7 @@ The following table lists the pricing of the current Partner Nodes. All prices a | BytePlus Image Generation Product | model: seedream-3-0-t2i-250415 | 6.33 / run | Image | | BytePlus Image Generation Product | model: seedream-4-0-250828 | 6.33 / run | Image | | BytePlus Image Generation Product | model: seedream-4-5-251128 | 8.44 / run | Image | -| BytePlus Image Generation Product | model: seedream-5-0-lite | 7.4 / run | Image | +| BytePlus Image Generation Product | model: seedream-5-0-260128 | 7.39 / run | Image | | BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-lite-i2v-250428, video_type: image-to-video | 379.8 / 1M tokens | Video | | BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-lite-t2v-250428, video_type: text-to-video | 379.8 / 1M tokens | Video | | BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-pro-250528, video_type: image-to-video | 527.5 / 1M tokens | Video | @@ -52,6 +50,21 @@ The following table lists the pricing of the current Partner Nodes. All prices a | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: false, model: seedance-1-5-pro-251215 | 253.2 / 1M tokens | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: true, model: seedance-1-5-pro-251215 | 506.4 / 1M tokens | Video | +## ElevenLabs + +| Product Name | Configuration | Credits | Category | +| :------------------------------------- | :--------------------------------------------------------- | :---------- | :------- | +| 11labs Text-to-Speech | endpoint: v1/text-to-dialogue, model: eleven_v3 | 50.64 / run | Audio | +| 11labs Text-to-Speech | endpoint: v1/text-to-speech, model: eleven_multilingual_v2 | 50.64 / run | Audio | +| 11labs Text-to-Speech | endpoint: v1/text-to-speech, model: eleven_v3 | 50.64 / run | Audio | +| 11labs Speech-to-Text | endpoint: v1/speech-to-text, model: scribe_v2 | 92.84 / run | Audio | +| 11labs Speech-to-Text Keyterm | endpoint: v1/speech-to-text, model: scribe_v2 | 18.57 / run | Audio | +| 11labs Speech-to-Text Entity Detection | endpoint: scribe_v2, model: v1/speech-to-text | 27.85 / run | Audio | +| 11labs Speech-to-Speech Per Minute | endpoint: v1/speech-to-speech | 50.64 / min | Audio | +| 11labs Sound Generation Per Minute | endpoint: v1/sound-generation | 29.54 / min | Audio | +| 11labs Audio Isolation Per Minute | endpoint: v1/audio-isolation | 50.64 / min | Audio | +| 11labs Add Voice | endpoint: v1/voices/add | 31.65 / run | Audio | + ## Freepik | Product Name | Configuration | Credits | Category | @@ -61,6 +74,7 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Freepik Image Per Generation | endpoint: skin-enhancer-creative | 61.19 / run | Image | | Freepik Image Per Generation | endpoint: skin-enhancer-faithful | 78.07 / run | Image | | Freepik Image Per Generation | endpoint: skin-enhancer-flexible | 94.95 / run | Image | +| Freepik Image Cost | NA | 211 / run | Image | ## Google @@ -74,6 +88,8 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 63.3 / 1M tokens | Text | | Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-pro | 263.75 / 1M tokens | Text | | Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 263.75 / 1M tokens | Text | +| Gemini Input Text Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 105.5 / 1M tokens | Text | +| Gemini Input Text Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 422 / 1M tokens | Text | | Gemini Input Text Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 422 / 1M tokens | Text | | Gemini Input Text Tokens (per 1M) Product | model: gemini-3-pro-preview | 422 / 1M tokens | Text | | Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-flash-image | 527.5 / 1M tokens | Text | @@ -82,6 +98,8 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 527.5 / 1M tokens | Text | | Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-pro | 2110 / 1M tokens | Text | | Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 2110 / 1M tokens | Text | +| Gemini Output Text Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 633 / 1M tokens | Text | +| Gemini Output Text Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 2532 / 1M tokens | Text | | Gemini Output Text Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 2532 / 1M tokens | Text | | Gemini Output Text Tokens (per 1M) Product | model: gemini-3-pro-preview | 2532 / 1M tokens | Text | | Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 1M tokens | Image | @@ -90,12 +108,16 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 63.3 / 1M tokens | Image | | Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-pro | 263.75 / 1M tokens | Image | | Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 263.75 / 1M tokens | Image | +| Gemini Input Image Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 105.5 / 1M tokens | Image | +| Gemini Input Image Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 422 / 1M tokens | Image | | Gemini Input Image Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 422 / 1M tokens | Image | | Gemini Input Image Tokens (per 1M) Product | model: gemini-3-pro-preview | 422 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-2.5-flash-image | 6330 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 6330 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 3165 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 7385 / 1M tokens | Image | +| Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 12660 / 1M tokens | Image | +| Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 25320 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 25320 / 1M tokens | Image | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 1M tokens | Video | @@ -103,6 +125,7 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 63.3 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-pro | 263.75 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 263.75 / 1M tokens | Video | +| Gemini Input Video Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 422 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 422 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-3-pro-preview | 422 / 1M tokens | Video | | Gemini Output Video Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 4220 / 1M tokens | Video | @@ -113,6 +136,7 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 211 / 1M tokens | Audio | | Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-pro | 263.75 / 1M tokens | Audio | | Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 263.75 / 1M tokens | Audio | +| Gemini Input Audio Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 422 / 1M tokens | Audio | | Gemini Input Audio Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 422 / 1M tokens | Audio | | Gemini Input Audio Tokens (per 1M) Product | model: gemini-3-pro-preview | 422 / 1M tokens | Audio | | Gemini Output Audio Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 3165 / 1M tokens | Audio | @@ -130,6 +154,8 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Google Veo3 | generateAudio: true, model: veo-3.0-generate-001 | 84.4 / run | Image | | Google Veo3 | generateAudio: true, model: veo-3.1-fast-generate-preview | 31.65 / run | Image | | Google Veo3 | generateAudio: true, model: veo-3.1-generate-preview | 84.4 / run | Image | +| Gemini Thoughts Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 633 / 1M tokens | Text | +| Gemini Thoughts Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 2532 / 1M tokens | Text | | Gemini Thoughts Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 2532 / 1M tokens | Text | | Gemini Thoughts Tokens (per 1M) Product | model: gemini-3-pro-preview | 2532 / 1M tokens | Text | @@ -220,6 +246,8 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / sec | Video | | Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / run | Image | | Kling Motion Control Product | mode: std, model: kling-v2-6 | 14.77 / run | Image | +| Kling Credits | type: image | 0.74 / run | Image | +| Kling Credits | type: video | 29.54 / run | Image | ## Lightricks @@ -473,6 +501,9 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Tencent 3D Face Count | custom_face_count: true, endpoint: hunyuan/3d-pro | 42.2 / run | 3D | | Tencent 3D PBR | enable_pbr: true, endpoint: hunyuan/3d-pro | 42.2 / run | 3D | | Tencent 3D Multiview Images | endpoint: hunyuan/3d-pro, multi_view: true | 42.2 / run | Image | +| Tencent 3D | endpoint: hunyuan/3d-part | 126.6 / run | 3D | +| Tencent 3D | endpoint: hunyuan/3d-texture-edit | 126.6 / run | 3D | +| Tencent 3D | endpoint: hunyuan/3d-uv | 42.2 / run | 3D | ## Topaz @@ -525,15 +556,6 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Tripo V1-4 Generation Product | type: text_to_model | 42.2 / run | 3D | | Tripo Geometry Quality Product | geometry_quality: detailed | 42.2 / run | 3D | -## Vidu - -| Model(Node name) | Category | Parameters that affect price | Parameter combo | Price (Credits) | -| ----------------------- | -------- | ---------------------------- | --------------- | ------- | -| ViduImageToVideoNode | Video | NA | NA | 84.4 | -| ViduReferenceVideoNode | Video | NA | NA | 84.4 | -| ViduStartEndToVideoNode | Video | NA | NA | 84.4 | -| ViduTextToVideoNode | Video | NA | NA | 84.4 | - ## WAN | Product Name | Configuration | Credits | Category | @@ -575,5 +597,4 @@ Video endpoints charge for moderated content. | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p | 38.19 / sec | Video | | xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p, type: image-to-video | 0.42 / sec | Video | | xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p, type: image-to-video | 0.42 / sec | Video | -| xAI Video Edit Input+Output Video Per Second | endpoint: v1/videos/edits, model: grok-imagine-video-beta, resolution: 480p | 40.3 / sec | Video | - +| xAI Video Edit Input+Output Video Per Second | endpoint: v1/videos/edits, model: grok-imagine-video-beta, resolution: 480p | 40.3 / sec | Video | \ No newline at end of file diff --git a/zh-CN/tutorials/partner-nodes/pricing.mdx b/zh-CN/tutorials/partner-nodes/pricing.mdx index 15ec94dc1..f14c775b7 100644 --- a/zh-CN/tutorials/partner-nodes/pricing.mdx +++ b/zh-CN/tutorials/partner-nodes/pricing.mdx @@ -13,567 +13,598 @@ mode: wide ## BFL -| 产品名称 | 配置 | 积分 | 类别 | -| :------------------------- | :------------------------- | :---------- | :---- | -| prod-v1-BFL Image Products | model: flux-dev | 5.28 / run | Image | -| prod-v1-BFL Image Products | model: flux-kontext-max | 16.88 / run | Image | -| prod-v1-BFL Image Products | model: flux-kontext-pro | 8.44 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-canny | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-depth | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-expand | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-fill | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.1 | 8.44 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.1-ultra | 12.66 / run | Image | -| prod-v1-BFL Image Products | model: /v1/flux-pro | 10.55 / run | Image | -| BFL Cost | NA | 2.11 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :------------------------- | :------------------------- | :---------- | :------- | +| prod-v1-BFL Image Products | model: flux-dev | 5.28 / run | Image | +| prod-v1-BFL Image Products | model: flux-kontext-max | 16.88 / run | Image | +| prod-v1-BFL Image Products | model: flux-kontext-pro | 8.44 / run | Image | +| prod-v1-BFL Image Products | model: flux-pro-1.0-canny | 10.55 / run | Image | +| prod-v1-BFL Image Products | model: flux-pro-1.0-depth | 10.55 / run | Image | +| prod-v1-BFL Image Products | model: flux-pro-1.0-expand | 10.55 / run | Image | +| prod-v1-BFL Image Products | model: flux-pro-1.0-fill | 10.55 / run | Image | +| prod-v1-BFL Image Products | model: flux-pro-1.1 | 8.44 / run | Image | +| prod-v1-BFL Image Products | model: flux-pro-1.1-ultra | 12.66 / run | Image | +| prod-v1-BFL Image Products | model: /v1/flux-pro | 10.55 / run | Image | +| BFL Cost | NA | 2.11 / run | Image | ## Bria -| 产品名称 | 配置 | 积分 | 类别 | -| :-------------- | :----------------------------------- | :--------- | :---- | -| Bria Image Edit | endpoint: v2/image/edit, model: fibo | 8.44 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :--------------------------- | :---------------------------------------- | :---------- | :------- | +| Bria Image Edit | endpoint: v2/image/edit, model: fibo | 8.44 / run | Image | +| Bria Image Remove Background | endpoint: v2/image/edit/remove_background | 3.8 / run | Image | +| Bria Video Remove Background | endpoint: v2/video/edit/remove_background | 29.54 / sec | Video | ## ByteDance -| 产品名称 | 配置 | 积分 | 类别 | -| :--------------------------------------------------- | :-------------------------------------------------------------- | :---------------- | :---- | -| BytePlus Image Generation Product | model: seededit-3-0-i2i-250628 | 6.33 / run | Image | -| BytePlus Image Generation Product | model: seedream-3-0-t2i-250415 | 6.33 / run | Image | -| BytePlus Image Generation Product | model: seedream-4-0-250828 | 6.33 / run | Image | -| BytePlus Image Generation Product | model: seedream-4-5-251128 | 8.44 / run | Image | -| BytePlus Image Generation Product | model: seedream-5-0-lite | 7.4 / run | Image | -| BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-lite-i2v-250428, video_type: image-to-video | 379.8 / 1M tokens | Video | -| BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-lite-t2v-250428, video_type: text-to-video | 379.8 / 1M tokens | Video | -| BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-pro-250528, video_type: image-to-video | 527.5 / 1M tokens | Video | -| BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-pro-250528, video_type: text-to-video | 527.5 / 1M tokens | Video | -| BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-pro-fast-251015, video_type: image-to-video | 211 / 1M tokens | Video | -| BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-pro-fast-251015, video_type: text-to-video | 211 / 1M tokens | Video | -| BytePlus Video Generation Product (Per 1M tokens) | model: seedream-4-5-251128, video_type: text-to-video | 211 / 1M tokens | Video | -| BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: false, model: seedance-1-5-pro-251215 | 253.2 / 1M tokens | Video | -| BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: true, model: seedance-1-5-pro-251215 | 506.4 / 1M tokens | Video | +| 产品名称 | 配置 | 积分 | 类别 | +| :--------------------------------------------------- | :-------------------------------------------------------------- | :---------------- | :------- | +| BytePlus Image Generation Product | model: seededit-3-0-i2i-250628 | 6.33 / run | Image | +| BytePlus Image Generation Product | model: seedream-3-0-t2i-250415 | 6.33 / run | Image | +| BytePlus Image Generation Product | model: seedream-4-0-250828 | 6.33 / run | Image | +| BytePlus Image Generation Product | model: seedream-4-5-251128 | 8.44 / run | Image | +| BytePlus Image Generation Product | model: seedream-5-0-260128 | 7.39 / run | Image | +| BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-lite-i2v-250428, video_type: image-to-video | 379.8 / 1M tokens | Video | +| BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-lite-t2v-250428, video_type: text-to-video | 379.8 / 1M tokens | Video | +| BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-pro-250528, video_type: image-to-video | 527.5 / 1M tokens | Video | +| BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-pro-250528, video_type: text-to-video | 527.5 / 1M tokens | Video | +| BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-pro-fast-251015, video_type: image-to-video | 211 / 1M tokens | Video | +| BytePlus Video Generation Product (Per 1M tokens) | model: seedance-1-0-pro-fast-251015, video_type: text-to-video | 211 / 1M tokens | Video | +| BytePlus Video Generation Product (Per 1M tokens) | model: seedream-4-5-251128, video_type: text-to-video | 211 / 1M tokens | Video | +| BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: false, model: seedance-1-5-pro-251215 | 253.2 / 1M tokens | Video | +| BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: true, model: seedance-1-5-pro-251215 | 506.4 / 1M tokens | Video | + +## ElevenLabs + +| 产品名称 | 配置 | 积分 | 类别 | +| :------------------------------------- | :--------------------------------------------------------- | :---------- | :------- | +| 11labs Text-to-Speech | endpoint: v1/text-to-dialogue, model: eleven_v3 | 50.64 / run | Audio | +| 11labs Text-to-Speech | endpoint: v1/text-to-speech, model: eleven_multilingual_v2 | 50.64 / run | Audio | +| 11labs Text-to-Speech | endpoint: v1/text-to-speech, model: eleven_v3 | 50.64 / run | Audio | +| 11labs Speech-to-Text | endpoint: v1/speech-to-text, model: scribe_v2 | 92.84 / run | Audio | +| 11labs Speech-to-Text Keyterm | endpoint: v1/speech-to-text, model: scribe_v2 | 18.57 / run | Audio | +| 11labs Speech-to-Text Entity Detection | endpoint: scribe_v2, model: v1/speech-to-text | 27.85 / run | Audio | +| 11labs Speech-to-Speech Per Minute | endpoint: v1/speech-to-speech | 50.64 / min | Audio | +| 11labs Sound Generation Per Minute | endpoint: v1/sound-generation | 29.54 / min | Audio | +| 11labs Audio Isolation Per Minute | endpoint: v1/audio-isolation | 50.64 / min | Audio | +| 11labs Add Voice | endpoint: v1/voices/add | 31.65 / run | Audio | ## Freepik -| 产品名称 | 配置 | 积分 | 类别 | -| :--------------------------- | :-------------------------------- | :---------- | :---- | -| Freepik Image Per Generation | endpoint: magnific-relight | 23.21 / run | Image | -| Freepik Image Per Generation | endpoint: magnific-style-transfer | 23.21 / run | Image | -| Freepik Image Per Generation | endpoint: skin-enhancer-creative | 61.19 / run | Image | -| Freepik Image Per Generation | endpoint: skin-enhancer-faithful | 78.07 / run | Image | -| Freepik Image Per Generation | endpoint: skin-enhancer-flexible | 94.95 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :--------------------------- | :-------------------------------- | :---------- | :------- | +| Freepik Image Per Generation | endpoint: magnific-relight | 23.21 / run | Image | +| Freepik Image Per Generation | endpoint: magnific-style-transfer | 23.21 / run | Image | +| Freepik Image Per Generation | endpoint: skin-enhancer-creative | 61.19 / run | Image | +| Freepik Image Per Generation | endpoint: skin-enhancer-faithful | 78.07 / run | Image | +| Freepik Image Per Generation | endpoint: skin-enhancer-flexible | 94.95 / run | Image | +| Freepik Image Cost | NA | 211 / run | Image | ## Google -| 产品名称 | 配置 | 积分 | 类别 | -| :------------------------------------------ | :--------------------------------------------------------- | :----------------- | :---- | -| prod-v1-Veo 2 Product | model: veo-2.0-generate-001 | 105.5 / run | Image | -| prod-v1-Veo 2 Product | model: veo-3.0-generate-preview | 158.25 / run | Image | -| Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 1M tokens | Text | -| Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 1M tokens | Text | -| Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-flash | 63.3 / 1M tokens | Text | -| Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 63.3 / 1M tokens | Text | -| Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-pro | 263.75 / 1M tokens | Text | -| Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 263.75 / 1M tokens | Text | -| Gemini Input Text Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 422 / 1M tokens | Text | -| Gemini Input Text Tokens (per 1M) Product | model: gemini-3-pro-preview | 422 / 1M tokens | Text | -| Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-flash-image | 527.5 / 1M tokens | Text | -| Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 527.5 / 1M tokens | Text | -| Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-flash | 527.5 / 1M tokens | Text | -| Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 527.5 / 1M tokens | Text | -| Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-pro | 2110 / 1M tokens | Text | -| Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 2110 / 1M tokens | Text | -| Gemini Output Text Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 2532 / 1M tokens | Text | -| Gemini Output Text Tokens (per 1M) Product | model: gemini-3-pro-preview | 2532 / 1M tokens | Text | -| Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 1M tokens | Image | -| Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 1M tokens | Image | -| Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-flash | 63.3 / 1M tokens | Image | -| Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 63.3 / 1M tokens | Image | -| Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-pro | 263.75 / 1M tokens | Image | -| Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 263.75 / 1M tokens | Image | -| Gemini Input Image Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 422 / 1M tokens | Image | -| Gemini Input Image Tokens (per 1M) Product | model: gemini-3-pro-preview | 422 / 1M tokens | Image | -| Gemini Output Image Tokens (per 1M) Product | model: gemini-2.5-flash-image | 6330 / 1M tokens | Image | -| Gemini Output Image Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 6330 / 1M tokens | Image | -| Gemini Output Image Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 3165 / 1M tokens | Image | -| Gemini Output Image Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 7385 / 1M tokens | Image | -| Gemini Output Image Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 25320 / 1M tokens | Image | -| Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 1M tokens | Video | -| Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 1M tokens | Video | -| Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash | 63.3 / 1M tokens | Video | -| Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 63.3 / 1M tokens | Video | -| Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-pro | 263.75 / 1M tokens | Video | -| Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 263.75 / 1M tokens | Video | -| Gemini Input Video Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 422 / 1M tokens | Video | -| Gemini Input Video Tokens (per 1M) Product | model: gemini-3-pro-preview | 422 / 1M tokens | Video | -| Gemini Output Video Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 4220 / 1M tokens | Video | -| Gemini Output Video Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 8440 / 1M tokens | Video | -| Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-flash-image | 211 / 1M tokens | Audio | -| Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 211 / 1M tokens | Audio | -| Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-flash | 211 / 1M tokens | Audio | -| Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 211 / 1M tokens | Audio | -| Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-pro | 263.75 / 1M tokens | Audio | -| Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 263.75 / 1M tokens | Audio | -| Gemini Input Audio Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 422 / 1M tokens | Audio | -| Gemini Input Audio Tokens (per 1M) Product | model: gemini-3-pro-preview | 422 / 1M tokens | Audio | -| Gemini Output Audio Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 3165 / 1M tokens | Audio | -| Gemini Output Audio Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 7385 / 1M tokens | Audio | -| Google Veo3/Veo3 Fast Video Generation | generateAudio: false, model: veo-3.0-fast-generate-001 | 168.8 / run | Video | -| Google Veo3/Veo3 Fast Video Generation | generateAudio: false, model: veo-3.0-generate-001 | 337.6 / run | Video | -| Google Veo3/Veo3 Fast Video Generation | generateAudio: true, model: veo-3.0-fast-generate-001 | 253.2 / run | Video | -| Google Veo3/Veo3 Fast Video Generation | generateAudio: true, model: veo-3.0-generate-001 | 675.2 / run | Video | -| Google Veo2 Video Generation | NA | 105.5 / run | Video | -| Google Veo3 | generateAudio: false, model: veo-3.0-fast-generate-001 | 21.1 / run | Image | -| Google Veo3 | generateAudio: false, model: veo-3.0-generate-001 | 42.2 / run | Image | -| Google Veo3 | generateAudio: false, model: veo-3.1-fast-generate-preview | 21.1 / run | Image | -| Google Veo3 | generateAudio: false, model: veo-3.1-generate-preview | 42.2 / run | Image | -| Google Veo3 | generateAudio: true, model: veo-3.0-fast-generate-001 | 31.65 / run | Image | -| Google Veo3 | generateAudio: true, model: veo-3.0-generate-001 | 84.4 / run | Image | -| Google Veo3 | generateAudio: true, model: veo-3.1-fast-generate-preview | 31.65 / run | Image | -| Google Veo3 | generateAudio: true, model: veo-3.1-generate-preview | 84.4 / run | Image | -| Gemini Thoughts Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 2532 / 1M tokens | Text | -| Gemini Thoughts Tokens (per 1M) Product | model: gemini-3-pro-preview | 2532 / 1M tokens | Text | +| 产品名称 | 配置 | 积分 | 类别 | +| :------------------------------------------ | :--------------------------------------------------------- | :----------------- | :------- | +| prod-v1-Veo 2 Product | model: veo-2.0-generate-001 | 105.5 / run | Image | +| prod-v1-Veo 2 Product | model: veo-3.0-generate-preview | 158.25 / run | Image | +| Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 1M tokens | Text | +| Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 1M tokens | Text | +| Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-flash | 63.3 / 1M tokens | Text | +| Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 63.3 / 1M tokens | Text | +| Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-pro | 263.75 / 1M tokens | Text | +| Gemini Input Text Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 263.75 / 1M tokens | Text | +| Gemini Input Text Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 105.5 / 1M tokens | Text | +| Gemini Input Text Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 422 / 1M tokens | Text | +| Gemini Input Text Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 422 / 1M tokens | Text | +| Gemini Input Text Tokens (per 1M) Product | model: gemini-3-pro-preview | 422 / 1M tokens | Text | +| Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-flash-image | 527.5 / 1M tokens | Text | +| Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 527.5 / 1M tokens | Text | +| Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-flash | 527.5 / 1M tokens | Text | +| Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 527.5 / 1M tokens | Text | +| Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-pro | 2110 / 1M tokens | Text | +| Gemini Output Text Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 2110 / 1M tokens | Text | +| Gemini Output Text Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 633 / 1M tokens | Text | +| Gemini Output Text Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 2532 / 1M tokens | Text | +| Gemini Output Text Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 2532 / 1M tokens | Text | +| Gemini Output Text Tokens (per 1M) Product | model: gemini-3-pro-preview | 2532 / 1M tokens | Text | +| Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 1M tokens | Image | +| Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 1M tokens | Image | +| Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-flash | 63.3 / 1M tokens | Image | +| Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 63.3 / 1M tokens | Image | +| Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-pro | 263.75 / 1M tokens | Image | +| Gemini Input Image Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 263.75 / 1M tokens | Image | +| Gemini Input Image Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 105.5 / 1M tokens | Image | +| Gemini Input Image Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 422 / 1M tokens | Image | +| Gemini Input Image Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 422 / 1M tokens | Image | +| Gemini Input Image Tokens (per 1M) Product | model: gemini-3-pro-preview | 422 / 1M tokens | Image | +| Gemini Output Image Tokens (per 1M) Product | model: gemini-2.5-flash-image | 6330 / 1M tokens | Image | +| Gemini Output Image Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 6330 / 1M tokens | Image | +| Gemini Output Image Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 3165 / 1M tokens | Image | +| Gemini Output Image Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 7385 / 1M tokens | Image | +| Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 12660 / 1M tokens | Image | +| Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 25320 / 1M tokens | Image | +| Gemini Output Image Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 25320 / 1M tokens | Image | +| Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 1M tokens | Video | +| Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 1M tokens | Video | +| Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash | 63.3 / 1M tokens | Video | +| Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 63.3 / 1M tokens | Video | +| Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-pro | 263.75 / 1M tokens | Video | +| Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 263.75 / 1M tokens | Video | +| Gemini Input Video Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 422 / 1M tokens | Video | +| Gemini Input Video Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 422 / 1M tokens | Video | +| Gemini Input Video Tokens (per 1M) Product | model: gemini-3-pro-preview | 422 / 1M tokens | Video | +| Gemini Output Video Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 4220 / 1M tokens | Video | +| Gemini Output Video Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 8440 / 1M tokens | Video | +| Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-flash-image | 211 / 1M tokens | Audio | +| Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 211 / 1M tokens | Audio | +| Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-flash | 211 / 1M tokens | Audio | +| Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 211 / 1M tokens | Audio | +| Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-pro | 263.75 / 1M tokens | Audio | +| Gemini Input Audio Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 263.75 / 1M tokens | Audio | +| Gemini Input Audio Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 422 / 1M tokens | Audio | +| Gemini Input Audio Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 422 / 1M tokens | Audio | +| Gemini Input Audio Tokens (per 1M) Product | model: gemini-3-pro-preview | 422 / 1M tokens | Audio | +| Gemini Output Audio Tokens (per 1M) Product | model: gemini-2.5-flash-preview-04-17 | 3165 / 1M tokens | Audio | +| Gemini Output Audio Tokens (per 1M) Product | model: gemini-2.5-pro-preview-05-06 | 7385 / 1M tokens | Audio | +| Google Veo3/Veo3 Fast Video Generation | generateAudio: false, model: veo-3.0-fast-generate-001 | 168.8 / run | Video | +| Google Veo3/Veo3 Fast Video Generation | generateAudio: false, model: veo-3.0-generate-001 | 337.6 / run | Video | +| Google Veo3/Veo3 Fast Video Generation | generateAudio: true, model: veo-3.0-fast-generate-001 | 253.2 / run | Video | +| Google Veo3/Veo3 Fast Video Generation | generateAudio: true, model: veo-3.0-generate-001 | 675.2 / run | Video | +| Google Veo2 Video Generation | NA | 105.5 / run | Video | +| Google Veo3 | generateAudio: false, model: veo-3.0-fast-generate-001 | 21.1 / run | Image | +| Google Veo3 | generateAudio: false, model: veo-3.0-generate-001 | 42.2 / run | Image | +| Google Veo3 | generateAudio: false, model: veo-3.1-fast-generate-preview | 21.1 / run | Image | +| Google Veo3 | generateAudio: false, model: veo-3.1-generate-preview | 42.2 / run | Image | +| Google Veo3 | generateAudio: true, model: veo-3.0-fast-generate-001 | 31.65 / run | Image | +| Google Veo3 | generateAudio: true, model: veo-3.0-generate-001 | 84.4 / run | Image | +| Google Veo3 | generateAudio: true, model: veo-3.1-fast-generate-preview | 31.65 / run | Image | +| Google Veo3 | generateAudio: true, model: veo-3.1-generate-preview | 84.4 / run | Image | +| Gemini Thoughts Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 633 / 1M tokens | Text | +| Gemini Thoughts Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 2532 / 1M tokens | Text | +| Gemini Thoughts Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 2532 / 1M tokens | Text | +| Gemini Thoughts Tokens (per 1M) Product | model: gemini-3-pro-preview | 2532 / 1M tokens | Text | + +## Hitpaw + +| 产品名称 | 配置 | 积分 | 类别 | +| :------------- | :------------ | :--------- | :------- | +| Hitpaw Credits | NA | 0.21 / run | Image | ## Ideogram -| 产品名称 | 配置 | 积分 | 类别 | -| :---------------------------------------- | :--------------------------------------------------------------------- | :---------- | :---- | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit-character-ref, rendering_speed: DEFAULT | 45.26 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit-character-ref, rendering_speed: QUALITY | 60.35 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit-character-ref, rendering_speed: TURBO | 30.17 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit, rendering_speed: BALANCED | 18.1 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit, rendering_speed: DEFAULT | 18.1 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit, rendering_speed: QUALITY | 27.16 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit, rendering_speed: TURBO | 9.05 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate-character-ref, rendering_speed: DEFAULT | 45.26 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate-character-ref, rendering_speed: QUALITY | 60.35 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate-character-ref, rendering_speed: TURBO | 30.17 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate, rendering_speed: BALANCED | 18.1 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate, rendering_speed: DEFAULT | 18.1 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate, rendering_speed: QUALITY | 27.16 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate, rendering_speed: TURBO | 9.05 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/reframe, rendering_speed: DEFAULT | 18.1 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/reframe, rendering_speed: QUALITY | 27.16 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/reframe, rendering_speed: TURBO | 9.05 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/remix, rendering_speed: BALANCED | 18.1 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/remix, rendering_speed: DEFAULT | 18.1 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/remix, rendering_speed: QUALITY | 27.16 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/remix, rendering_speed: TURBO | 9.05 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/replace-background, rendering_speed: BALANCED | 18.1 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/replace-background, rendering_speed: DEFAULT | 18.1 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/replace-background, rendering_speed: QUALITY | 27.16 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/replace-background, rendering_speed: TURBO | 9.05 / run | Image | -| prod-v1-Ideogram V3 Image Generation | endpoint: remix, rendering_speed: TURBO | 9.05 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: edit, model: v_2 | 24.14 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: edit, model: v_2_turbo | 15.09 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: generate, model: v_1 | 18.1 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: generate, model: v_1_turbo | 6.03 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: generate, model: v_2a | 12.07 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: generate, model: v_2a_turbo | 7.54 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: generate, model: v_2 | 24.14 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: generate, model: v_2_turbo | 15.09 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: reframe, model: v_2 | 24.14 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: reframe, model: v_2_turbo | 15.09 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_1 | 18.1 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_1_turbo | 6.03 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2a | 12.07 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2a_turbo | 7.54 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2 | 24.14 / run | Image | -| prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2_turbo | 15.09 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :---------------------------------------- | :--------------------------------------------------------------------- | :---------- | :------- | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit-character-ref, rendering_speed: DEFAULT | 45.26 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit-character-ref, rendering_speed: QUALITY | 60.35 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit-character-ref, rendering_speed: TURBO | 30.17 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit, rendering_speed: BALANCED | 18.1 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit, rendering_speed: DEFAULT | 18.1 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit, rendering_speed: QUALITY | 27.16 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/edit, rendering_speed: TURBO | 9.05 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate-character-ref, rendering_speed: DEFAULT | 45.26 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate-character-ref, rendering_speed: QUALITY | 60.35 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate-character-ref, rendering_speed: TURBO | 30.17 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate, rendering_speed: BALANCED | 18.1 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate, rendering_speed: DEFAULT | 18.1 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate, rendering_speed: QUALITY | 27.16 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/generate, rendering_speed: TURBO | 9.05 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/reframe, rendering_speed: DEFAULT | 18.1 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/reframe, rendering_speed: QUALITY | 27.16 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/reframe, rendering_speed: TURBO | 9.05 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/remix, rendering_speed: BALANCED | 18.1 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/remix, rendering_speed: DEFAULT | 18.1 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/remix, rendering_speed: QUALITY | 27.16 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/remix, rendering_speed: TURBO | 9.05 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/replace-background, rendering_speed: BALANCED | 18.1 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/replace-background, rendering_speed: DEFAULT | 18.1 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/replace-background, rendering_speed: QUALITY | 27.16 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: ideogram-v3/replace-background, rendering_speed: TURBO | 9.05 / run | Image | +| prod-v1-Ideogram V3 Image Generation | endpoint: remix, rendering_speed: TURBO | 9.05 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: edit, model: v_2 | 24.14 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: edit, model: v_2_turbo | 15.09 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: generate, model: v_1 | 18.1 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: generate, model: v_1_turbo | 6.03 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: generate, model: v_2a | 12.07 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: generate, model: v_2a_turbo | 7.54 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: generate, model: v_2 | 24.14 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: generate, model: v_2_turbo | 15.09 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: reframe, model: v_2 | 24.14 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: reframe, model: v_2_turbo | 15.09 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_1 | 18.1 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_1_turbo | 6.03 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2a | 12.07 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2a_turbo | 7.54 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2 | 24.14 / run | Image | +| prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2_turbo | 15.09 / run | Image | ## Kling -| 产品名称 | 配置 | 积分 | 类别 | -| :---------------------------------------- | :----------------------------------------------------------- | :----------- | :---- | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-5 | 103.39 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-6 | 103.39 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1 | 103.39 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-5-turbo | 73.85 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-master | 295.4 / run | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-5 | 59.08 / run | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-6 | 59.08 / run | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / sec | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / run | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1 | 59.08 / run | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-master | 295.4 / run | Video | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / run | Image | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / run | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | -| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / run | Image | -| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / run | Image | -| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / run | Image | -| Kling Video Extension Product | NA | 59.08 / run | Video | -| Kling Lip Sync Product | NA | 14.77 / run | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / run | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / run | Image | -| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / run | Image | -| Kling Omni Video Product | generate_with_video: false, mode: pro, model: kling-video-o1 | 23.63 / sec | Video | -| Kling Omni Video Product | generate_with_video: false, mode: std, model: kling-video-o1 | 17.72 / sec | Video | -| Kling Omni Video Product | generate_with_video: true, mode: pro, model: kling-video-o1 | 35.45 / sec | Video | -| Kling Omni Video Product | generate_with_video: true, mode: std, model: kling-video-o1 | 26.59 / sec | Video | -| Kling Omni Image Product | model: kling-image-o1 | 5.91 / run | Image | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / sec | Video | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / sec | Video | -| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / run | Image | -| Kling Motion Control Product | mode: std, model: kling-v2-6 | 14.77 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :---------------------------------------- | :----------------------------------------------------------- | :----------- | :------- | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-5 | 103.39 / run | Video | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-6 | 103.39 / run | Video | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / run | Video | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / run | Video | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1 | 103.39 / run | Video | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-5-turbo | 73.85 / run | Video | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-master | 295.4 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-5 | 59.08 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-6 | 59.08 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / sec | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1 | 59.08 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-master | 295.4 / run | Video | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / run | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / run | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / run | Image | +| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / run | Image | +| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / run | Image | +| Kling Video Extension Product | NA | 59.08 / run | Video | +| Kling Lip Sync Product | NA | 14.77 / run | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / run | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / run | Image | +| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / run | Image | +| Kling Omni Video Product | generate_with_video: false, mode: pro, model: kling-video-o1 | 23.63 / sec | Video | +| Kling Omni Video Product | generate_with_video: false, mode: std, model: kling-video-o1 | 17.72 / sec | Video | +| Kling Omni Video Product | generate_with_video: true, mode: pro, model: kling-video-o1 | 35.45 / sec | Video | +| Kling Omni Video Product | generate_with_video: true, mode: std, model: kling-video-o1 | 26.59 / sec | Video | +| Kling Omni Image Product | model: kling-image-o1 | 5.91 / run | Image | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / sec | Video | +| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / run | Image | +| Kling Motion Control Product | mode: std, model: kling-v2-6 | 14.77 / run | Image | +| Kling Credits | type: image | 0.74 / run | Image | +| Kling Credits | type: video | 29.54 / run | Image | ## Lightricks -| 产品名称 | 配置 | 积分 | 类别 | -| :--------------------------- | :----------------------------------------------------------------- | :---------- | :---- | -| Ltx Video generation product | endpoint: image-to-video, model: ltx-2-fast, resolution: 1920x1080 | 8.44 / sec | Video | -| Ltx Video generation product | endpoint: image-to-video, model: ltx-2-fast, resolution: 2560x1440 | 16.88 / sec | Video | -| Ltx Video generation product | endpoint: image-to-video, model: ltx-2-fast, resolution: 3840x2160 | 33.76 / sec | Video | -| Ltx Video generation product | endpoint: image-to-video, model: ltx-2-pro, resolution: 1920x1080 | 12.66 / sec | Video | -| Ltx Video generation product | endpoint: image-to-video, model: ltx-2-pro, resolution: 2560x1440 | 25.32 / sec | Video | -| Ltx Video generation product | endpoint: image-to-video, model: ltx-2-pro, resolution: 3840x2160 | 50.64 / run | Video | -| Ltx Video generation product | endpoint: text-to-video, model: ltx-2-fast, resolution: 1920x1080 | 8.44 / sec | Video | -| Ltx Video generation product | endpoint: text-to-video, model: ltx-2-fast, resolution: 2560x1440 | 16.88 / sec | Video | -| Ltx Video generation product | endpoint: text-to-video, model: ltx-2-fast, resolution: 3840x2160 | 33.76 / sec | Video | -| Ltx Video generation product | endpoint: text-to-video, model: ltx-2-pro, resolution: 1920x1080 | 12.66 / sec | Video | -| Ltx Video generation product | endpoint: text-to-video, model: ltx-2-pro, resolution: 2560x1440 | 25.32 / sec | Video | -| Ltx Video generation product | endpoint: text-to-video, model: ltx-2-pro, resolution: 3840x2160 | 50.64 / run | Video | +| 产品名称 | 配置 | 积分 | 类别 | +| :--------------------------- | :----------------------------------------------------------------- | :---------- | :------- | +| Ltx Video generation product | endpoint: image-to-video, model: ltx-2-fast, resolution: 1920x1080 | 8.44 / sec | Video | +| Ltx Video generation product | endpoint: image-to-video, model: ltx-2-fast, resolution: 2560x1440 | 16.88 / sec | Video | +| Ltx Video generation product | endpoint: image-to-video, model: ltx-2-fast, resolution: 3840x2160 | 33.76 / sec | Video | +| Ltx Video generation product | endpoint: image-to-video, model: ltx-2-pro, resolution: 1920x1080 | 12.66 / sec | Video | +| Ltx Video generation product | endpoint: image-to-video, model: ltx-2-pro, resolution: 2560x1440 | 25.32 / sec | Video | +| Ltx Video generation product | endpoint: image-to-video, model: ltx-2-pro, resolution: 3840x2160 | 50.64 / run | Video | +| Ltx Video generation product | endpoint: text-to-video, model: ltx-2-fast, resolution: 1920x1080 | 8.44 / sec | Video | +| Ltx Video generation product | endpoint: text-to-video, model: ltx-2-fast, resolution: 2560x1440 | 16.88 / sec | Video | +| Ltx Video generation product | endpoint: text-to-video, model: ltx-2-fast, resolution: 3840x2160 | 33.76 / sec | Video | +| Ltx Video generation product | endpoint: text-to-video, model: ltx-2-pro, resolution: 1920x1080 | 12.66 / sec | Video | +| Ltx Video generation product | endpoint: text-to-video, model: ltx-2-pro, resolution: 2560x1440 | 25.32 / sec | Video | +| Ltx Video generation product | endpoint: text-to-video, model: ltx-2-pro, resolution: 3840x2160 | 50.64 / run | Video | ## Luma -| 产品名称 | 配置 | 积分 | 类别 | -| :-------------------------------------------------- | :-------------------- | :--------- | :---- | -| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / sec | Video | -| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / sec | Video | -| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / sec | Video | -| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / run | Image | -| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :-------------------------------------------------- | :-------------------- | :--------- | :------- | +| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / sec | Video | +| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / sec | Video | +| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / sec | Video | +| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / run | Image | +| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / run | Image | ## Meshy -| 产品名称 | 配置 | 积分 | 类别 | -| :---------------------- | :---------------------------------------------------------- | :---------- | :---- | -| Meshy Retexture | NA | 84.4 / run | 3D | -| Meshy Rigging | NA | 42.2 / run | 3D | -| Meshy Remesh | NA | 42.2 / run | 3D | -| Meshy Animation | NA | 25.32 / run | 3D | -| Meshy Multi Image to 3D | should_texture: false | 42.2 / run | Image | -| Meshy Multi Image to 3D | should_texture: true | 126.6 / run | Image | -| Meshy Text to 3D | mode: preview, model: latest | 168.8 / run | 3D | -| Meshy Text to 3D | mode: preview, model: meshy-5 | 42.2 / run | 3D | -| Meshy Text to 3D | mode: refine, model: latest | 84.4 / run | 3D | -| Meshy Image to 3D | model: latest, model_type: lowpoly, should_texture: false | 168.8 / run | Image | -| Meshy Image to 3D | model: latest, model_type: lowpoly, should_texture: true | 253.2 / run | Image | -| Meshy Image to 3D | model: latest, model_type: standard, should_texture: false | 168.8 / run | Image | -| Meshy Image to 3D | model: latest, model_type: standard, should_texture: true | 253.2 / run | Image | -| Meshy Image to 3D | model: meshy-5, model_type: lowpoly, should_texture: false | 168.8 / run | Image | -| Meshy Image to 3D | model: meshy-5, model_type: lowpoly, should_texture: true | 253.2 / run | Image | -| Meshy Image to 3D | model: meshy-5, model_type: standard, should_texture: false | 42.2 / run | Image | -| Meshy Image to 3D | model: meshy-5, model_type: standard, should_texture: true | 126.6 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :---------------------- | :---------------------------------------------------------- | :---------- | :------- | +| Meshy Retexture | NA | 84.4 / run | 3D | +| Meshy Rigging | NA | 42.2 / run | 3D | +| Meshy Remesh | NA | 42.2 / run | 3D | +| Meshy Animation | NA | 25.32 / run | 3D | +| Meshy Multi Image to 3D | should_texture: false | 42.2 / run | Image | +| Meshy Multi Image to 3D | should_texture: true | 126.6 / run | Image | +| Meshy Text to 3D | mode: preview, model: latest | 168.8 / run | 3D | +| Meshy Text to 3D | mode: preview, model: meshy-5 | 42.2 / run | 3D | +| Meshy Text to 3D | mode: refine, model: latest | 84.4 / run | 3D | +| Meshy Image to 3D | model: latest, model_type: lowpoly, should_texture: false | 168.8 / run | Image | +| Meshy Image to 3D | model: latest, model_type: lowpoly, should_texture: true | 253.2 / run | Image | +| Meshy Image to 3D | model: latest, model_type: standard, should_texture: false | 168.8 / run | Image | +| Meshy Image to 3D | model: latest, model_type: standard, should_texture: true | 253.2 / run | Image | +| Meshy Image to 3D | model: meshy-5, model_type: lowpoly, should_texture: false | 168.8 / run | Image | +| Meshy Image to 3D | model: meshy-5, model_type: lowpoly, should_texture: true | 253.2 / run | Image | +| Meshy Image to 3D | model: meshy-5, model_type: standard, should_texture: false | 42.2 / run | Image | +| Meshy Image to 3D | model: meshy-5, model_type: standard, should_texture: true | 126.6 / run | Image | ## Minimax -| 产品名称 | 配置 | 积分 | 类别 | -| :---------------------------------------------- | :------------------------------------------------------- | :----------- | :---- | -| prod-v1-Minimax Video Product | model: i2v-01-director | 90.73 / run | Video | -| prod-v1-Minimax Video Product | model: i2v-01-live | 90.73 / run | Video | -| prod-v1-Minimax Video Product | model: i2v-01 | 90.73 / run | Video | -| prod-v1-Minimax Video Product | model: s2v-01 | 137.15 / run | Video | -| prod-v1-Minimax Video Product | model: t2v-01-director | 90.73 / run | Video | -| prod-v1-Minimax Video Product | model: t2v-01 | 90.73 / run | Video | -| Minimax Video Generation_models after Hailuo-02 | duration: 10, model: minimax-hailuo-02, resolution: 768P | 118.16 / run | Video | -| Minimax Video Generation_models after Hailuo-02 | duration: 6, model: minimax-hailuo-02, resolution: 1080P | 103.39 / run | Video | -| Minimax Video Generation_models after Hailuo-02 | duration: 6, model: minimax-hailuo-02, resolution: 768P | 59.08 / run | Video | +| 产品名称 | 配置 | 积分 | 类别 | +| :---------------------------------------------- | :------------------------------------------------------- | :----------- | :------- | +| prod-v1-Minimax Video Product | model: i2v-01-director | 90.73 / run | Video | +| prod-v1-Minimax Video Product | model: i2v-01-live | 90.73 / run | Video | +| prod-v1-Minimax Video Product | model: i2v-01 | 90.73 / run | Video | +| prod-v1-Minimax Video Product | model: s2v-01 | 137.15 / run | Video | +| prod-v1-Minimax Video Product | model: t2v-01-director | 90.73 / run | Video | +| prod-v1-Minimax Video Product | model: t2v-01 | 90.73 / run | Video | +| Minimax Video Generation_models after Hailuo-02 | duration: 10, model: minimax-hailuo-02, resolution: 768P | 118.16 / run | Video | +| Minimax Video Generation_models after Hailuo-02 | duration: 6, model: minimax-hailuo-02, resolution: 1080P | 103.39 / run | Video | +| Minimax Video Generation_models after Hailuo-02 | duration: 6, model: minimax-hailuo-02, resolution: 768P | 59.08 / run | Video | ## Moonvalley -| 产品名称 | 配置 | 积分 | 类别 | -| :---------------------------- | :--- | :----------- | :---- | -| Moonvalley Image-to-Video 5s | NA | 316.5 / run | Video | -| Moonvalley Image-to-Video 10s | NA | 633 / run | Video | -| Moonvalley Text-to-Video 5s | NA | 316.5 / run | Video | -| Moonvalley Text-to-Video 10s | NA | 633 / run | Video | -| Moonvalley Video-to-Video 5s | NA | 474.75 / run | Video | -| Moonvalley Video-to-Video 10s | NA | 844 / run | Video | +| 产品名称 | 配置 | 积分 | 类别 | +| :---------------------------- | :------------ | :----------- | :------- | +| Moonvalley Image-to-Video 5s | NA | 316.5 / run | Video | +| Moonvalley Image-to-Video 10s | NA | 633 / run | Video | +| Moonvalley Text-to-Video 5s | NA | 316.5 / run | Video | +| Moonvalley Text-to-Video 10s | NA | 633 / run | Video | +| Moonvalley Video-to-Video 5s | NA | 474.75 / run | Video | +| Moonvalley Video-to-Video 10s | NA | 844 / run | Video | ## OpenAI -| 产品名称 | 配置 | 积分 | 类别 | -| :-------------------------------------------------------- | :-------------------------------------------------- | :----------------- | :---- | -| OpenAI Images dall-e-2 Product | size: 1024x1024 | 4.22 / run | Image | -| OpenAI Images dall-e-2 Product | size: 256x256 | 3.38 / run | Image | -| OpenAI Images dall-e-2 Product | size: 512x512 | 3.8 / run | Image | -| OpenAI dall-e-3 Product | model: dall-e-3, quality: hd, size: 1024x1024 | 16.88 / run | Image | -| OpenAI dall-e-3 Product | model: dall-e-3, quality: hd, size: 1024x1792 | 25.32 / run | Image | -| OpenAI dall-e-3 Product | model: dall-e-3, quality: hd, size: 1792x1024 | 25.32 / run | Image | -| OpenAI dall-e-3 Product | model: dall-e-3, quality: standard, size: 1024x1024 | 8.44 / run | Image | -| OpenAI dall-e-3 Product | model: dall-e-3, quality: standard, size: 1024x1792 | 16.88 / run | Image | -| OpenAI dall-e-3 Product | model: dall-e-3, quality: standard, size: 1792x1024 | 16.88 / run | Image | -| OpenAI Input Text Tokens (per 1M) Product | model: computer-use-preview | 633 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4.1-mini | 84.4 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4.1-nano | 21.1 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4.1 | 422 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4.5-preview | 15825 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-audio-preview | 527.5 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-mini-audio-preview | 31.65 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-mini | 31.65 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-mini-realtime-preview | 126.6 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-mini-search-preview | 31.65 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o | 527.5 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-realtime-preview | 1055 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-search-preview | 527.5 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-5-mini | 52.75 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-5-nano | 10.55 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-5 | 263.75 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-image-1.5 | 1055 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: gpt-image-1 | 1055 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: o1-mini | 232.1 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: o1 | 3165 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: o1-pro | 31650 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: o3-mini | 232.1 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: o3 | 422 / 1M tokens | Text | -| OpenAI Input Text Tokens (per 1M) Product | model: o4-mini | 232.1 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4.1-mini | 21.1 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4.1-nano | 5.28 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4.1 | 105.5 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4.5-preview | 7912.5 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4o-mini | 15.82 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4o-mini-realtime-preview | 63.3 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4o | 263.75 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4o-realtime-preview | 527.5 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-5-mini | 5.28 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-5-nano | 1.05 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-5 | 26.38 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: o1-mini | 116.05 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: o1 | 1582.5 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: o3-mini | 116.05 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: o3 | 105.5 / 1M tokens | Text | -| OpenAI Cached Input Text Tokens (per 1M) Product | model: o4-mini | 58.03 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: computer-use-preview | 2532 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4.1-mini | 337.6 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4.1-nano | 84.4 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4.1 | 1688 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4.5-preview | 31650 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-audio-preview | 2110 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-mini-audio-preview | 126.6 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-mini | 126.6 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-mini-realtime-preview | 506.4 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-mini-search-preview | 126.6 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o | 2110 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-realtime-preview | 4220 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-search-preview | 2110 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-5-mini | 422 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-5-nano | 84.4 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: gpt-5 | 2110 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: o1-mini | 928.4 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: o1 | 12660 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: o1-pro | 126600 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: o3-mini | 928.4 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: o3 | 1688 / 1M tokens | Text | -| OpenAI Output Text Tokens (per 1M) Product | model: o4-mini | 928.4 / 1M tokens | Text | -| OpenAI Responses Output Image Tokens (per 1M) Product | model: gpt-image-1 | 8440 / 1M tokens | Image | -| OpenAI Responses Input Image Tokens (per 1M) Product | model: gpt-image-1 | 2110 / 1M tokens | Image | -| OpenAI Chat Completion Image Output Tokens (1M) | model: gpt-image-1.5 | 6752 / 1M tokens | Image | -| OpenAI Chat Completion Image Output Tokens (1M) | model: gpt-image-1 | 8440 / 1M tokens | Image | -| OpenAI Input Image Tokens (1M tokens) | model: gpt-image-1.5 | 1688 / 1M tokens | Image | -| OpenAI Input Image Tokens (1M tokens) | model: gpt-image-1 | 2110 / 1M tokens | Image | -| OpenAI Video Generation Product | model: sora-2-pro, size: 1024x1792 | 105.5 / run | Video | -| OpenAI Video Generation Product | model: sora-2-pro, size: 1280x720 | 63.3 / run | Video | -| OpenAI Video Generation Product | model: sora-2-pro, size: 1792x1024 | 105.5 / run | Video | -| OpenAI Video Generation Product | model: sora-2-pro, size: 720x1280 | 63.3 / run | Video | -| OpenAI Video Generation Product | model: sora-2, size: 1280x720 | 21.1 / sec | Video | -| OpenAI Video Generation Product | model: sora-2, size: 720x1280 | 21.1 / sec | Video | -| OpenAI Output Text Tokens (per 1M) Product (non-response) | model: gpt-image-1.5 | 2110 / 1M tokens | Text | +| 产品名称 | 配置 | 积分 | 类别 | +| :-------------------------------------------------------- | :-------------------------------------------------- | :----------------- | :------- | +| OpenAI Images dall-e-2 Product | size: 1024x1024 | 4.22 / run | Image | +| OpenAI Images dall-e-2 Product | size: 256x256 | 3.38 / run | Image | +| OpenAI Images dall-e-2 Product | size: 512x512 | 3.8 / run | Image | +| OpenAI dall-e-3 Product | model: dall-e-3, quality: hd, size: 1024x1024 | 16.88 / run | Image | +| OpenAI dall-e-3 Product | model: dall-e-3, quality: hd, size: 1024x1792 | 25.32 / run | Image | +| OpenAI dall-e-3 Product | model: dall-e-3, quality: hd, size: 1792x1024 | 25.32 / run | Image | +| OpenAI dall-e-3 Product | model: dall-e-3, quality: standard, size: 1024x1024 | 8.44 / run | Image | +| OpenAI dall-e-3 Product | model: dall-e-3, quality: standard, size: 1024x1792 | 16.88 / run | Image | +| OpenAI dall-e-3 Product | model: dall-e-3, quality: standard, size: 1792x1024 | 16.88 / run | Image | +| OpenAI Input Text Tokens (per 1M) Product | model: computer-use-preview | 633 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4.1-mini | 84.4 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4.1-nano | 21.1 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4.1 | 422 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4.5-preview | 15825 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-audio-preview | 527.5 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-mini-audio-preview | 31.65 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-mini | 31.65 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-mini-realtime-preview | 126.6 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-mini-search-preview | 31.65 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o | 527.5 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-realtime-preview | 1055 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-4o-search-preview | 527.5 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-5-mini | 52.75 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-5-nano | 10.55 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-5 | 263.75 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-image-1.5 | 1055 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: gpt-image-1 | 1055 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: o1-mini | 232.1 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: o1 | 3165 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: o1-pro | 31650 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: o3-mini | 232.1 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: o3 | 422 / 1M tokens | Text | +| OpenAI Input Text Tokens (per 1M) Product | model: o4-mini | 232.1 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4.1-mini | 21.1 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4.1-nano | 5.28 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4.1 | 105.5 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4.5-preview | 7912.5 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4o-mini | 15.82 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4o-mini-realtime-preview | 63.3 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4o | 263.75 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-4o-realtime-preview | 527.5 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-5-mini | 5.28 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-5-nano | 1.05 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: gpt-5 | 26.38 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: o1-mini | 116.05 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: o1 | 1582.5 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: o3-mini | 116.05 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: o3 | 105.5 / 1M tokens | Text | +| OpenAI Cached Input Text Tokens (per 1M) Product | model: o4-mini | 58.03 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: computer-use-preview | 2532 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4.1-mini | 337.6 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4.1-nano | 84.4 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4.1 | 1688 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4.5-preview | 31650 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-audio-preview | 2110 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-mini-audio-preview | 126.6 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-mini | 126.6 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-mini-realtime-preview | 506.4 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-mini-search-preview | 126.6 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o | 2110 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-realtime-preview | 4220 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-4o-search-preview | 2110 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-5-mini | 422 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-5-nano | 84.4 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: gpt-5 | 2110 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: o1-mini | 928.4 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: o1 | 12660 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: o1-pro | 126600 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: o3-mini | 928.4 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: o3 | 1688 / 1M tokens | Text | +| OpenAI Output Text Tokens (per 1M) Product | model: o4-mini | 928.4 / 1M tokens | Text | +| OpenAI Responses Output Image Tokens (per 1M) Product | model: gpt-image-1 | 8440 / 1M tokens | Image | +| OpenAI Responses Input Image Tokens (per 1M) Product | model: gpt-image-1 | 2110 / 1M tokens | Image | +| OpenAI Chat Completion Image Output Tokens (1M) | model: gpt-image-1.5 | 6752 / 1M tokens | Image | +| OpenAI Chat Completion Image Output Tokens (1M) | model: gpt-image-1 | 8440 / 1M tokens | Image | +| OpenAI Input Image Tokens (1M tokens) | model: gpt-image-1.5 | 1688 / 1M tokens | Image | +| OpenAI Input Image Tokens (1M tokens) | model: gpt-image-1 | 2110 / 1M tokens | Image | +| OpenAI Video Generation Product | model: sora-2-pro, size: 1024x1792 | 105.5 / run | Video | +| OpenAI Video Generation Product | model: sora-2-pro, size: 1280x720 | 63.3 / run | Video | +| OpenAI Video Generation Product | model: sora-2-pro, size: 1792x1024 | 105.5 / run | Video | +| OpenAI Video Generation Product | model: sora-2-pro, size: 720x1280 | 63.3 / run | Video | +| OpenAI Video Generation Product | model: sora-2, size: 1280x720 | 21.1 / sec | Video | +| OpenAI Video Generation Product | model: sora-2, size: 720x1280 | 21.1 / sec | Video | +| OpenAI Output Text Tokens (per 1M) Product (non-response) | model: gpt-image-1.5 | 2110 / 1M tokens | Text | ## Pika -| 产品名称 | 配置 | 积分 | 类别 | -| :------------------------------------------------- | :--------------------------------------------------- | :---------- | :---- | -| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/i2v, resolution: 1080p | 211 / run | Video | -| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/i2v, resolution: 720p | 126.6 / run | Video | -| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/pikaframes, resolution: 1080p | 211 / run | Video | -| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/pikaframes, resolution: 720p | 52.75 / run | Video | -| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/pikascenes, resolution: 1080p | 316.5 / run | Video | -| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/pikascenes, resolution: 720p | 84.4 / run | Video | -| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/t2v, resolution: 1080p | 211 / run | Video | -| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/t2v, resolution: 720p | 126.6 / run | Video | -| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/i2v, resolution: 1080p | 94.95 / run | Video | -| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/i2v, resolution: 720p | 42.2 / run | Video | -| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/pikaframes, resolution: 1080p | 63.3 / run | Video | -| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/pikaframes, resolution: 720p | 42.2 / run | Video | -| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/pikascenes, resolution: 1080p | 105.5 / run | Video | -| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/pikascenes, resolution: 720p | 63.3 / run | Video | -| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/t2v, resolution: 1080p | 94.95 / run | Video | -| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/t2v, resolution: 720p | 42.2 / run | Video | -| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/pikaffects, resolution: 720p | 94.95 / run | Video | -| Pika Basic Video Product | endpoint: generate/pikadditions | 63.3 / run | Video | -| Pika Basic Video Product | endpoint: generate/pikaffects | 94.95 / run | Video | -| Pika Basic Video Product | endpoint: generate/pikaswaps | 63.3 / run | Video | +| 产品名称 | 配置 | 积分 | 类别 | +| :------------------------------------------------- | :--------------------------------------------------- | :---------- | :------- | +| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/i2v, resolution: 1080p | 211 / run | Video | +| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/i2v, resolution: 720p | 126.6 / run | Video | +| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/pikaframes, resolution: 1080p | 211 / run | Video | +| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/pikaframes, resolution: 720p | 52.75 / run | Video | +| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/pikascenes, resolution: 1080p | 316.5 / run | Video | +| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/pikascenes, resolution: 720p | 84.4 / run | Video | +| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/t2v, resolution: 1080p | 211 / run | Video | +| prod-v1-Pika Video Generation Product (10 seconds) | endpoint: generate/2.2/t2v, resolution: 720p | 126.6 / run | Video | +| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/i2v, resolution: 1080p | 94.95 / run | Video | +| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/i2v, resolution: 720p | 42.2 / run | Video | +| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/pikaframes, resolution: 1080p | 63.3 / run | Video | +| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/pikaframes, resolution: 720p | 42.2 / run | Video | +| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/pikascenes, resolution: 1080p | 105.5 / run | Video | +| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/pikascenes, resolution: 720p | 63.3 / run | Video | +| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/t2v, resolution: 1080p | 94.95 / run | Video | +| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/2.2/t2v, resolution: 720p | 42.2 / run | Video | +| prod-v1-Pika Video Generation (5 seconds) | endpoint: generate/pikaffects, resolution: 720p | 94.95 / run | Video | +| Pika Basic Video Product | endpoint: generate/pikadditions | 63.3 / run | Video | +| Pika Basic Video Product | endpoint: generate/pikaffects | 94.95 / run | Video | +| Pika Basic Video Product | endpoint: generate/pikaswaps | 63.3 / run | Video | ## Pixverse -| 产品名称 | 配置 | 积分 | 类别 | -| :------------------------------- | :----------------------------------------------- | :---------- | :---- | -| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: fast, quality: 360p | 189.9 / run | Video | -| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: fast, quality: 540p | 189.9 / run | Video | -| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: fast, quality: 720p | 253.2 / run | Video | -| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: normal, quality: 1080p | 253.2 / run | Video | -| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: normal, quality: 360p | 94.95 / run | Video | -| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: normal, quality: 540p | 94.95 / run | Video | -| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: normal, quality: 720p | 126.6 / run | Video | -| Pixverse 8 seconds Video Product | model: v3.5, motion_mode: normal, quality: 360p | 189.9 / run | Video | -| Pixverse 8 seconds Video Product | model: v3.5, motion_mode: normal, quality: 540p | 189.9 / run | Video | -| Pixverse 8 seconds Video Product | model: v3.5, motion_mode: normal, quality: 720p | 253.2 / run | Video | - -## Recraft - -| 产品名称 | 配置 | 积分 | 类别 | -| :------------------- | :--- | :--------- | :---- | -| Recraft All Products | NA | 0.21 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :------------------------------- | :----------------------------------------------- | :---------- | :------- | +| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: fast, quality: 360p | 189.9 / run | Video | +| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: fast, quality: 540p | 189.9 / run | Video | +| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: fast, quality: 720p | 253.2 / run | Video | +| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: normal, quality: 1080p | 253.2 / run | Video | +| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: normal, quality: 360p | 94.95 / run | Video | +| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: normal, quality: 540p | 94.95 / run | Video | +| Pixverse 5 seconds Video Product | model: v3.5, motion_mode: normal, quality: 720p | 126.6 / run | Video | +| Pixverse 8 seconds Video Product | model: v3.5, motion_mode: normal, quality: 360p | 189.9 / run | Video | +| Pixverse 8 seconds Video Product | model: v3.5, motion_mode: normal, quality: 540p | 189.9 / run | Video | +| Pixverse 8 seconds Video Product | model: v3.5, motion_mode: normal, quality: 720p | 253.2 / run | Video | ## Rodin -| 产品名称 | 配置 | 积分 | 类别 | -| :-------------------------------- | :--- | :---------- | :--- | -| Rodin 3D Generation (no addons) | NA | 84.4 / run | 3D | -| Rodin 3D Generation (with AddOns) | NA | 253.2 / run | 3D | +| 产品名称 | 配置 | 积分 | 类别 | +| :-------------------------------- | :------------ | :---------- | :------- | +| Rodin 3D Generation (no addons) | NA | 84.4 / run | 3D | +| Rodin 3D Generation (with AddOns) | NA | 253.2 / run | 3D | ## Runway -| 产品名称 | 配置 | 积分 | 类别 | -| :-------------------------------------- | :----------------- | :---------- | :---- | -| prod-v1-Runway Video Generation Product | model: gen3a_turbo | 15.09 / sec | Video | -| prod-v1-Runway Video Generation Product | model: gen4_turbo | 15.09 / sec | Video | -| prod-v1-Runway Video Generation Product | model: gen4_turbo | 10.55 / sec | Video | -| RunwayML Image Generation Product | model: gen4_image | 24.14 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :-------------------------------------- | :----------------- | :---------- | :------- | +| prod-v1-Runway Video Generation Product | model: gen3a_turbo | 15.09 / sec | Video | +| prod-v1-Runway Video Generation Product | model: gen4_turbo | 15.09 / sec | Video | +| prod-v1-Runway Video Generation Product | model: gen4_turbo | 10.55 / sec | Video | +| RunwayML Image Generation Product | model: gen4_image | 24.14 / run | Image | ## Stability AI -| 产品名称 | 配置 | 积分 | 类别 | -| :----------------------------------------- | :---------------------------------------------------------------------------- | :---------- | :---- | -| prod-v1-Stability Image Generation Product | endpoint: v2beta/stable-image/generate/core | 6.33 / run | Image | -| prod-v1-Stability Image Generation Product | endpoint: v2beta/stable-image/generate/ultra | 16.88 / run | Image | -| prod-v1-Stability Image Generation Product | endpoint: v2beta/stable-image/upscale/conservative | 84.4 / run | Image | -| prod-v1-Stability Image Generation Product | endpoint: v2beta/stable-image/upscale/creative | 126.6 / run | Image | -| prod-v1-Stability Image Generation Product | endpoint: v2beta/stable-image/upscale/fast | 4.22 / run | Image | -| Stability AI SD3 Image Products | model: sd3.5-large | 13.71 / run | Image | -| Stability AI SD3 Image Products | model: sd3.5-large-turbo | 8.44 / run | Image | -| Stability AI SD3 Image Products | model: sd3.5-medium | 7.39 / run | Image | -| Stability Audio Generation Product | endpoint: v2beta/audio/stable-audio-2/audio-to-audio, model: stable-audio-2.5 | 42.2 / run | Audio | -| Stability Audio Generation Product | endpoint: v2beta/audio/stable-audio-2/inpaint, model: stable-audio-2.5 | 42.2 / run | Audio | -| Stability Audio Generation Product | endpoint: v2beta/audio/stable-audio-2/text-to-audio, model: stable-audio-2.5 | 42.2 / run | Audio | +| 产品名称 | 配置 | 积分 | 类别 | +| :----------------------------------------- | :---------------------------------------------------------------------------- | :---------- | :------- | +| prod-v1-Stability Image Generation Product | endpoint: v2beta/stable-image/generate/core | 6.33 / run | Image | +| prod-v1-Stability Image Generation Product | endpoint: v2beta/stable-image/generate/ultra | 16.88 / run | Image | +| prod-v1-Stability Image Generation Product | endpoint: v2beta/stable-image/upscale/conservative | 84.4 / run | Image | +| prod-v1-Stability Image Generation Product | endpoint: v2beta/stable-image/upscale/creative | 126.6 / run | Image | +| prod-v1-Stability Image Generation Product | endpoint: v2beta/stable-image/upscale/fast | 4.22 / run | Image | +| Stability AI SD3 Image Products | model: sd3.5-large | 13.71 / run | Image | +| Stability AI SD3 Image Products | model: sd3.5-large-turbo | 8.44 / run | Image | +| Stability AI SD3 Image Products | model: sd3.5-medium | 7.39 / run | Image | +| Stability Audio Generation Product | endpoint: v2beta/audio/stable-audio-2/audio-to-audio, model: stable-audio-2.5 | 42.2 / run | Audio | +| Stability Audio Generation Product | endpoint: v2beta/audio/stable-audio-2/inpaint, model: stable-audio-2.5 | 42.2 / run | Audio | +| Stability Audio Generation Product | endpoint: v2beta/audio/stable-audio-2/text-to-audio, model: stable-audio-2.5 | 42.2 / run | Audio | ## Tencent -| 产品名称 | 配置 | 积分 | 类别 | -| :-------------------------- | :------------------------------------------------ | :---------- | :---- | -| Tencent 3D Generate Type | endpoint: hunyuan/3d-pro, generate_type: Geometry | 63.3 / run | 3D | -| Tencent 3D Generate Type | endpoint: hunyuan/3d-pro, generate_type: LowPoly | 126.6 / run | 3D | -| Tencent 3D Generate Type | endpoint: hunyuan/3d-pro, generate_type: Normal | 105.5 / run | 3D | -| Tencent 3D Generate Type | endpoint: hunyuan/3d-pro, generate_type: Sketch | 105.5 / run | 3D | -| Tencent 3D Face Count | custom_face_count: true, endpoint: hunyuan/3d-pro | 42.2 / run | 3D | -| Tencent 3D PBR | enable_pbr: true, endpoint: hunyuan/3d-pro | 42.2 / run | 3D | -| Tencent 3D Multiview Images | endpoint: hunyuan/3d-pro, multi_view: true | 42.2 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :-------------------------- | :------------------------------------------------ | :---------- | :------- | +| Tencent 3D Generate Type | endpoint: hunyuan/3d-pro, generate_type: Geometry | 63.3 / run | 3D | +| Tencent 3D Generate Type | endpoint: hunyuan/3d-pro, generate_type: LowPoly | 126.6 / run | 3D | +| Tencent 3D Generate Type | endpoint: hunyuan/3d-pro, generate_type: Normal | 105.5 / run | 3D | +| Tencent 3D Generate Type | endpoint: hunyuan/3d-pro, generate_type: Sketch | 105.5 / run | 3D | +| Tencent 3D Face Count | custom_face_count: true, endpoint: hunyuan/3d-pro | 42.2 / run | 3D | +| Tencent 3D PBR | enable_pbr: true, endpoint: hunyuan/3d-pro | 42.2 / run | 3D | +| Tencent 3D Multiview Images | endpoint: hunyuan/3d-pro, multi_view: true | 42.2 / run | Image | +| Tencent 3D | endpoint: hunyuan/3d-part | 126.6 / run | 3D | +| Tencent 3D | endpoint: hunyuan/3d-texture-edit | 126.6 / run | 3D | +| Tencent 3D | endpoint: hunyuan/3d-uv | 42.2 / run | 3D | ## Topaz -| 产品名称 | 配置 | 积分 | 类别 | -| :------- | :--- | :---------- | :---- | -| Topaz | NA | 16.88 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :----------- | :------------ | :---------- | :------- | +| Topaz | NA | 16.88 / run | Image | ## Tripo -| 产品名称 | 配置 | 积分 | 类别 | -| :--------------------------------------- | :------------------------------------------------------------------------ | :---------- | :--- | -| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | -| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | -| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | -| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | -| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | -| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | -| Tripo Generation (with Textures) Product | model: v2.5-20250123, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | -| Tripo Generation (with Textures) Product | model: v2.5-20250123, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | -| Tripo Generation (with Textures) Product | model: v2.5-20250123, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | -| Tripo Generation (with Textures) Product | model: v2.5-20250123, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | -| Tripo Generation (with Textures) Product | model: v2.5-20250123, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | -| Tripo Generation (with Textures) Product | model: v2.5-20250123, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | -| Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | -| Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | -| Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | -| Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | -| Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | -| Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | -| Tripo Generation (no textures) Product | model: v2.0-20240919, type: image_to_model | 42.2 / run | 3D | -| Tripo Generation (no textures) Product | model: v2.0-20240919, type: multiview_to_model | 42.2 / run | 3D | -| Tripo Generation (no textures) Product | model: v2.0-20240919, type: text_to_model | 21.1 / run | 3D | -| Tripo Generation (no textures) Product | model: v2.5-20250123, type: image_to_model | 42.2 / run | 3D | -| Tripo Generation (no textures) Product | model: v2.5-20250123, type: multiview_to_model | 42.2 / run | 3D | -| Tripo Generation (no textures) Product | model: v2.5-20250123, type: text_to_model | 21.1 / run | 3D | -| Tripo Generation (no textures) Product | model: v3.0-20250812, type: image_to_model | 42.2 / run | 3D | -| Tripo Generation (no textures) Product | model: v3.0-20250812, type: multiview_to_model | 42.2 / run | 3D | -| Tripo Generation (no textures) Product | model: v3.0-20250812, type: text_to_model | 21.1 / run | 3D | -| Tripo Style Product | NA | 10.55 / run | 3D | -| Tripo Quadrangular Product | NA | 10.55 / run | 3D | -| Tripo Add Texture Product | texture_quality: detailed | 42.2 / run | 3D | -| Tripo Add Texture Product | texture_quality: standard | 21.1 / run | 3D | -| Tripo Post-Processing Product | type: animate_retarget | 21.1 / run | 3D | -| Tripo Post-Processing Product | type: animate_rig | 52.75 / run | 3D | -| Tripo Post-Processing Product | type: stylize_model | 42.2 / run | 3D | -| Tripo Convert Product | convert_format: advanced | 21.1 / run | 3D | -| Tripo Convert Product | convert_format: basic | 10.55 / run | 3D | -| Tripo V1-4 Generation Product | type: image_to_model | 63.3 / run | 3D | -| Tripo V1-4 Generation Product | type: refine_model | 63.3 / run | 3D | -| Tripo V1-4 Generation Product | type: text_to_model | 42.2 / run | 3D | -| Tripo Geometry Quality Product | geometry_quality: detailed | 42.2 / run | 3D | +| 产品名称 | 配置 | 积分 | 类别 | +| :--------------------------------------- | :------------------------------------------------------------------------ | :---------- | :------- | +| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | +| Tripo Generation (with Textures) Product | model: v2.5-20250123, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v2.5-20250123, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v2.5-20250123, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v2.5-20250123, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v2.5-20250123, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v2.5-20250123, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v2.0-20240919, type: image_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v2.0-20240919, type: multiview_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v2.0-20240919, type: text_to_model | 21.1 / run | 3D | +| Tripo Generation (no textures) Product | model: v2.5-20250123, type: image_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v2.5-20250123, type: multiview_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v2.5-20250123, type: text_to_model | 21.1 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.0-20250812, type: image_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.0-20250812, type: multiview_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.0-20250812, type: text_to_model | 21.1 / run | 3D | +| Tripo Style Product | NA | 10.55 / run | 3D | +| Tripo Quadrangular Product | NA | 10.55 / run | 3D | +| Tripo Add Texture Product | texture_quality: detailed | 42.2 / run | 3D | +| Tripo Add Texture Product | texture_quality: standard | 21.1 / run | 3D | +| Tripo Post-Processing Product | type: animate_retarget | 21.1 / run | 3D | +| Tripo Post-Processing Product | type: animate_rig | 52.75 / run | 3D | +| Tripo Post-Processing Product | type: stylize_model | 42.2 / run | 3D | +| Tripo Convert Product | convert_format: advanced | 21.1 / run | 3D | +| Tripo Convert Product | convert_format: basic | 10.55 / run | 3D | +| Tripo V1-4 Generation Product | type: image_to_model | 63.3 / run | 3D | +| Tripo V1-4 Generation Product | type: refine_model | 63.3 / run | 3D | +| Tripo V1-4 Generation Product | type: text_to_model | 42.2 / run | 3D | +| Tripo Geometry Quality Product | geometry_quality: detailed | 42.2 / run | 3D | ## Vidu -| Model(Node name) | 类别 | Parameters that affect price | Parameter combo | Price (积分) | -| ----------------------- | ----- | ---------------------------- | --------------- | ------------ | -| ViduImageToVideoNode | Video | NA | NA | 84.4 | -| ViduReferenceVideoNode | Video | NA | NA | 84.4 | -| ViduStartEndToVideoNode | Video | NA | NA | 84.4 | -| ViduTextToVideoNode | Video | NA | NA | 84.4 | +| 产品名称 | 配置 | 积分 | 类别 | +| :---------------------------- | :------------ | :--------- | :------- | +| Vidu Video Generation Product | NA | 1.05 / sec | Video | ## WAN -| 产品名称 | 配置 | 积分 | 类别 | -| :--------------------------- | :------------------------------------------- | :---------- | :---- | -| Wan Image Generation Product | model: wan2.5-i2i-preview | 6.33 / run | Image | -| Wan Image Generation Product | model: wan2.5-t2i-preview | 6.33 / run | Image | -| Wan Image Generation Product | model: wan2.6-t2i | 6.33 / run | Image | -| Wan Video Generation Product | model: wan2.5-i2v-preview, resolution: 1080P | 31.65 / sec | Video | -| Wan Video Generation Product | model: wan2.5-i2v-preview, resolution: 480P | 10.55 / sec | Video | -| Wan Video Generation Product | model: wan2.5-i2v-preview, resolution: 720P | 21.1 / sec | Video | -| Wan Video Generation Product | model: wan2.5-t2v-preview, resolution: 1080P | 31.65 / sec | Video | -| Wan Video Generation Product | model: wan2.5-t2v-preview, resolution: 480P | 10.55 / sec | Video | -| Wan Video Generation Product | model: wan2.5-t2v-preview, resolution: 720P | 21.1 / sec | Video | -| Wan Video Generation Product | model: wan2.6-i2v, resolution: 1080P | 31.65 / sec | Video | -| Wan Video Generation Product | model: wan2.6-i2v, resolution: 720P | 21.1 / sec | Video | -| Wan Video Generation Product | model: wan2.6-r2v, resolution: 1080P | 31.65 / sec | Video | -| Wan Video Generation Product | model: wan2.6-r2v, resolution: 720P | 21.1 / sec | Video | -| Wan Video Generation Product | model: wan2.6-t2v, resolution: 1080P | 31.65 / sec | Video | -| Wan Video Generation Product | model: wan2.6-t2v, resolution: 720P | 21.1 / sec | Video | -| Wavespeed Flashvsr | resolution: 1080p | 18.99 / run | Image | -| Wavespeed Flashvsr | resolution: 2k | 25.32 / run | Image | -| Wavespeed Flashvsr | resolution: 4k | 33.76 / run | Image | -| Wavespeed Flashvsr | resolution: 720p | 12.66 / run | Image | -| Wavespeed Image | endpoint: seedvr2 | 2.11 / run | Image | -| Wavespeed Image | endpoint: ultimate-image-upscaler | 12.66 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :--------------------------- | :------------------------------------------- | :---------- | :------- | +| Wan Image Generation Product | model: wan2.5-i2i-preview | 6.33 / run | Image | +| Wan Image Generation Product | model: wan2.5-t2i-preview | 6.33 / run | Image | +| Wan Image Generation Product | model: wan2.6-t2i | 6.33 / run | Image | +| Wan Video Generation Product | model: wan2.5-i2v-preview, resolution: 1080P | 31.65 / sec | Video | +| Wan Video Generation Product | model: wan2.5-i2v-preview, resolution: 480P | 10.55 / sec | Video | +| Wan Video Generation Product | model: wan2.5-i2v-preview, resolution: 720P | 21.1 / sec | Video | +| Wan Video Generation Product | model: wan2.5-t2v-preview, resolution: 1080P | 31.65 / sec | Video | +| Wan Video Generation Product | model: wan2.5-t2v-preview, resolution: 480P | 10.55 / sec | Video | +| Wan Video Generation Product | model: wan2.5-t2v-preview, resolution: 720P | 21.1 / sec | Video | +| Wan Video Generation Product | model: wan2.6-i2v, resolution: 1080P | 31.65 / sec | Video | +| Wan Video Generation Product | model: wan2.6-i2v, resolution: 720P | 21.1 / sec | Video | +| Wan Video Generation Product | model: wan2.6-r2v, resolution: 1080P | 31.65 / sec | Video | +| Wan Video Generation Product | model: wan2.6-r2v, resolution: 720P | 21.1 / sec | Video | +| Wan Video Generation Product | model: wan2.6-t2v, resolution: 1080P | 31.65 / sec | Video | +| Wan Video Generation Product | model: wan2.6-t2v, resolution: 720P | 21.1 / sec | Video | +| Wavespeed Flashvsr | resolution: 1080p | 18.99 / run | Image | +| Wavespeed Flashvsr | resolution: 2k | 25.32 / run | Image | +| Wavespeed Flashvsr | resolution: 4k | 33.76 / run | Image | +| Wavespeed Flashvsr | resolution: 720p | 12.66 / run | Image | +| Wavespeed Image | endpoint: seedvr2 | 2.11 / run | Image | +| Wavespeed Image | endpoint: ultimate-image-upscaler | 12.66 / run | Image | ## xAI -Video endpoints charge for moderated content. +视频对经过审核的内容收费。 -| 产品名称 | 配置 | 积分 | 类别 | -| :------------------------------------------- | :------------------------------------------------------------------------------------------------------ | :---------- | :---- | -| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-beta, resolution: 1k | 6.96 / run | Image | -| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 6.96 / run | Image | -| xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 0.42 / run | Image | -| xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p | 38.19 / sec | Video | -| xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p | 38.19 / sec | Video | -| xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p, type: image-to-video | 0.42 / sec | Video | -| xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p, type: image-to-video | 0.42 / sec | Video | -| xAI Video Edit Input+Output Video Per Second | endpoint: v1/videos/edits, model: grok-imagine-video-beta, resolution: 480p | 40.3 / sec | Video | - +| 产品名称 | 配置 | 积分 | 类别 | +| :------------------------------------------- | :------------------------------------------------------------------------------------------------------ | :---------- | :------- | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-beta, resolution: 1k | 6.96 / run | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 6.96 / run | Image | +| xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 0.42 / run | Image | +| xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p | 38.19 / sec | Video | +| xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p | 38.19 / sec | Video | +| xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p, type: image-to-video | 0.42 / sec | Video | +| xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p, type: image-to-video | 0.42 / sec | Video | +| xAI Video Edit Input+Output Video Per Second | endpoint: v1/videos/edits, model: grok-imagine-video-beta, resolution: 480p | 40.3 / sec | Video | \ No newline at end of file From 21ca05b0d1ec8ffff7ed6f05f4be696d53194699 Mon Sep 17 00:00:00 2001 From: ComfyUI Wiki Date: Fri, 27 Feb 2026 22:10:11 +0800 Subject: [PATCH 02/15] Add pricing conversion note for Partner Nodes documentation --- tutorials/partner-nodes/pricing.mdx | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index 7dbef5bca..428c50048 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -7,6 +7,8 @@ mode: wide The following table lists the pricing of the current Partner Nodes. All prices are in credits. +211 credits = 1 USD + ## BFL | Product Name | Configuration | Credits | Category | From 81374cd9c33e2211e9af24caa2c28404bb12ff6b Mon Sep 17 00:00:00 2001 From: ComfyUI Wiki Date: Sun, 1 Mar 2026 00:18:33 +0800 Subject: [PATCH 03/15] Import node docs --- built-in-nodes/APG.mdx | 24 + built-in-nodes/AddNoise.mdx | 30 + built-in-nodes/AddTextPrefix.mdx | 22 + built-in-nodes/AddTextSuffix.mdx | 22 + built-in-nodes/AdjustBrightness.mdx | 22 + built-in-nodes/AdjustContrast.mdx | 22 + built-in-nodes/AlignYourStepsScheduler.mdx | 23 + built-in-nodes/AudioAdjustVolume.mdx | 22 + built-in-nodes/AudioConcat.mdx | 23 + built-in-nodes/AudioEncoderEncode.mdx | 22 + built-in-nodes/AudioEncoderLoader.mdx | 21 + built-in-nodes/AudioEqualizer3Band.mdx | 30 + built-in-nodes/AudioMerge.mdx | 23 + built-in-nodes/AutogrowNamesTestNode.mdx | 23 + built-in-nodes/AutogrowPrefixTestNode.mdx | 23 + built-in-nodes/BasicGuider.mdx | 22 + built-in-nodes/BasicScheduler.mdx | 3 +- .../BatchImagesMasksLatentsNode.mdx | 23 + built-in-nodes/BatchImagesNode.mdx | 23 + built-in-nodes/BatchLatentsNode.mdx | 24 + built-in-nodes/BatchMasksNode.mdx | 25 + built-in-nodes/BetaSamplingScheduler.mdx | 24 + built-in-nodes/BriaImageEditNode.mdx | 37 + built-in-nodes/BriaRemoveImageBackground.mdx | 27 + built-in-nodes/BriaRemoveVideoBackground.mdx | 25 + .../ByteDanceFirstLastFrameNode.mdx | 30 + built-in-nodes/ByteDanceImageEditNode.mdx | 26 + built-in-nodes/ByteDanceImageNode.mdx | 28 + .../ByteDanceImageReferenceNode.mdx | 28 + built-in-nodes/ByteDanceImageToVideoNode.mdx | 29 + built-in-nodes/ByteDanceSeedreamNode.mdx | 31 + built-in-nodes/ByteDanceTextToVideoNode.mdx | 35 + built-in-nodes/CFGGuider.mdx | 24 + built-in-nodes/CFGNorm.mdx | 22 + built-in-nodes/CFGZeroStar.mdx | 21 + built-in-nodes/CLIPAdd.mdx | 22 + built-in-nodes/CLIPAttentionMultiply.mdx | 25 + built-in-nodes/CLIPMergeAdd.mdx | 22 + built-in-nodes/CLIPMergeSubtract.mdx | 25 + built-in-nodes/CLIPSubtract.mdx | 23 + built-in-nodes/CLIPTextEncodeControlnet.mdx | 25 + built-in-nodes/CLIPTextEncodeHiDream.mdx | 27 + built-in-nodes/CLIPTextEncodeKandinsky5.mdx | 23 + built-in-nodes/CLIPTextEncodeLumina2.mdx | 25 + built-in-nodes/CLIPTextEncodePixArtAlpha.mdx | 24 + built-in-nodes/CLIPTextEncodeSD3.mdx | 31 + built-in-nodes/Canny.mdx | 7 +- built-in-nodes/CaseConverter.mdx | 22 + built-in-nodes/CenterCropImages.mdx | 23 + built-in-nodes/CheckpointLoader.mdx | 28 + built-in-nodes/CheckpointLoaderSimple.mdx | 3 +- built-in-nodes/CheckpointSave.mdx | 3 +- built-in-nodes/ChromaRadianceOptions.mdx | 27 + built-in-nodes/ClipLoader.mdx | 7 +- built-in-nodes/ClipMergeSimple.mdx | 7 +- built-in-nodes/ClipSave.mdx | 7 +- built-in-nodes/ClipSetLastLayer.mdx | 7 +- built-in-nodes/ClipTextEncode.mdx | 97 +- built-in-nodes/ClipTextEncodeFlux.mdx | 8 +- built-in-nodes/ClipTextEncodeHunyuanDit.mdx | 7 +- built-in-nodes/ClipTextEncodeSdxl.mdx | 7 +- built-in-nodes/ClipTextEncodeSdxlRefiner.mdx | 8 +- built-in-nodes/ClipVisionEncode.mdx | 8 +- built-in-nodes/ClipVisionLoader.mdx | 7 +- built-in-nodes/ColorToRGBInt.mdx | 23 + built-in-nodes/CombineHooks.mdx | 24 + built-in-nodes/CombineHooksEight.mdx | 30 + built-in-nodes/CombineHooksFour.mdx | 26 + built-in-nodes/ComboOptionTestNode.mdx | 23 + built-in-nodes/ComfySoftSwitchNode.mdx | 25 + built-in-nodes/ComfySwitchNode.mdx | 25 + built-in-nodes/ConditioningAverage.mdx | 32 + built-in-nodes/ConditioningCombine.mdx | 34 + built-in-nodes/ConditioningConcat.mdx | 20 + built-in-nodes/ConditioningSetArea.mdx | 24 + .../ConditioningSetAreaPercentage.mdx | 24 + .../ConditioningSetAreaPercentageVideo.mdx | 28 + .../ConditioningSetAreaStrength.mdx | 20 + .../ConditioningSetDefaultAndCombine.mdx | 23 + built-in-nodes/ConditioningSetMask.mdx | 24 + built-in-nodes/ConditioningSetProperties.mdx | 28 + .../ConditioningSetPropertiesAndCombine.mdx | 29 + .../ConditioningSetTimestepRange.mdx | 21 + built-in-nodes/ConditioningStableAudio.mdx | 25 + built-in-nodes/ConditioningTimestepsRange.mdx | 24 + built-in-nodes/ConditioningZeroOut.mdx | 19 + built-in-nodes/ContextWindowsManual.mdx | 34 + built-in-nodes/ControlNetApply.mdx | 27 + built-in-nodes/ControlNetApplyAdvanced.mdx | 26 + built-in-nodes/ControlNetApplySD3.mdx | 31 + .../ControlNetInpaintingAliMamaApply.mdx | 32 + built-in-nodes/ControlNetLoader.mdx | 21 + built-in-nodes/ConvertStringToComboNode.mdx | 21 + built-in-nodes/CosmosImageToVideoLatent.mdx | 29 + .../CosmosPredict2ImageToVideoLatent.mdx | 30 + built-in-nodes/CreateHookKeyframe.mdx | 23 + .../CreateHookKeyframesFromFloats.mdx | 27 + .../CreateHookKeyframesInterpolated.mdx | 28 + built-in-nodes/CreateHookLora.mdx | 29 + built-in-nodes/CreateHookLoraModelOnly.mdx | 23 + built-in-nodes/CreateHookModelAsLora.mdx | 31 + .../CreateHookModelAsLoraModelOnly.mdx | 23 + built-in-nodes/CreateList.mdx | 23 + built-in-nodes/CreateVideo.mdx | 23 + built-in-nodes/CropMask.mdx | 23 + built-in-nodes/CustomCombo.mdx | 23 + built-in-nodes/DCTestNode.mdx | 33 + built-in-nodes/DeprecatedCheckpointLoader.mdx | 22 + built-in-nodes/DeprecatedDiffusersLoader.mdx | 21 + built-in-nodes/DiffControlNetLoader.mdx | 22 + built-in-nodes/DifferentialDiffusion.mdx | 22 + built-in-nodes/DiffusersLoader.mdx | 23 + built-in-nodes/DisableNoise.mdx | 21 + built-in-nodes/DualCFGGuider.mdx | 27 + built-in-nodes/DualCLIPLoader.mdx | 25 + built-in-nodes/EasyCache.mdx | 25 + built-in-nodes/ElevenLabsAudioIsolation.mdx | 21 + .../ElevenLabsInstantVoiceClone.mdx | 24 + built-in-nodes/ElevenLabsSpeechToSpeech.mdx | 27 + built-in-nodes/ElevenLabsSpeechToText.mdx | 34 + built-in-nodes/ElevenLabsTextToDialogue.mdx | 29 + .../ElevenLabsTextToSoundEffects.mdx | 29 + built-in-nodes/ElevenLabsTextToSpeech.mdx | 41 + built-in-nodes/ElevenLabsVoiceSelector.mdx | 21 + built-in-nodes/EmptyAceStep1.5LatentAudio.mdx | 22 + built-in-nodes/EmptyAceStepLatentAudio.mdx | 22 + built-in-nodes/EmptyAudio.mdx | 23 + .../EmptyChromaRadianceLatentImage.mdx | 23 + built-in-nodes/EmptyCosmosLatentVideo.mdx | 24 + built-in-nodes/EmptyFlux2LatentImage.mdx | 25 + built-in-nodes/EmptyHunyuanImageLatent.mdx | 23 + built-in-nodes/EmptyHunyuanLatentVideo.mdx | 22 + built-in-nodes/EmptyHunyuanVideo15Latent.mdx | 26 + built-in-nodes/EmptyImage.mdx | 55 + built-in-nodes/EmptyLTXVLatentVideo.mdx | 24 + built-in-nodes/EmptyLatentAudio.mdx | 22 + built-in-nodes/EmptyLatentHunyuan3Dv2.mdx | 22 + built-in-nodes/EmptyLatentImage.mdx | 21 + built-in-nodes/EmptyMochiLatentVideo.mdx | 26 + .../EmptyQwenImageLayeredLatentImage.mdx | 26 + built-in-nodes/EmptySD3LatentImage.mdx | 23 + built-in-nodes/Epsilon Scaling.mdx | 22 + built-in-nodes/EpsilonScaling.mdx | 22 + built-in-nodes/ExponentialScheduler.mdx | 21 + built-in-nodes/ExtendIntermediateSigmas.mdx | 27 + built-in-nodes/FeatherMask.mdx | 23 + built-in-nodes/FlipSigmas.mdx | 19 + built-in-nodes/Flux2Scheduler.mdx | 23 + built-in-nodes/FluxDisableGuidance.mdx | 21 + built-in-nodes/FluxGuidance.mdx | 18 + built-in-nodes/FluxKontextImageScale.mdx | 43 + .../FluxKontextMultiReferenceLatentMethod.mdx | 22 + built-in-nodes/FluxProCannyNode.mdx | 31 + built-in-nodes/FluxProDepthNode.mdx | 27 + built-in-nodes/FluxProExpandNode.mdx | 30 + built-in-nodes/FluxProFillNode.mdx | 27 + built-in-nodes/FluxProImageNode.mdx | 26 + built-in-nodes/FluxProUltraImageNode.mdx | 29 + built-in-nodes/FreSca.mdx | 24 + built-in-nodes/FreeU.mdx | 25 + built-in-nodes/FreeU_V2.mdx | 25 + built-in-nodes/GITSScheduler.mdx | 25 + built-in-nodes/GLIGENLoader.mdx | 21 + built-in-nodes/GLIGENTextBoxApply.mdx | 26 + built-in-nodes/GLSLShader.mdx | 37 + built-in-nodes/GeminiImage.mdx | 28 + built-in-nodes/GeminiImage2Node.mdx | 35 + built-in-nodes/GeminiImageNode.mdx | 28 + built-in-nodes/GeminiInputFiles.mdx | 24 + built-in-nodes/GeminiNode.mdx | 27 + built-in-nodes/GenerateTracks.mdx | 37 + built-in-nodes/GetImageSize.mdx | 24 + built-in-nodes/GetVideoComponents.mdx | 23 + built-in-nodes/GrokImageEditNode.mdx | 28 + built-in-nodes/GrokImageNode.mdx | 27 + built-in-nodes/GrokVideoEditNode.mdx | 29 + built-in-nodes/GrokVideoNode.mdx | 29 + built-in-nodes/GrowMask.mdx | 21 + built-in-nodes/HitPawGeneralImageEnhance.mdx | 26 + built-in-nodes/HitPawVideoEnhance.mdx | 28 + built-in-nodes/Hunyuan3Dv2Conditioning.mdx | 22 + .../Hunyuan3Dv2ConditioningMultiView.mdx | 27 + built-in-nodes/HunyuanImageToVideo.mdx | 35 + built-in-nodes/HunyuanRefinerLatent.mdx | 26 + built-in-nodes/HunyuanVideo15ImageToVideo.mdx | 33 + .../HunyuanVideo15LatentUpscaleWithModel.mdx | 28 + .../HunyuanVideo15SuperResolution.mdx | 31 + built-in-nodes/HyperTile.mdx | 25 + built-in-nodes/HypernetworkLoader.mdx | 23 + built-in-nodes/IdeogramV1.mdx | 29 + built-in-nodes/IdeogramV2.mdx | 31 + built-in-nodes/IdeogramV3.mdx | 40 + built-in-nodes/ImageAddNoise.mdx | 23 + built-in-nodes/ImageBatch.mdx | 20 + built-in-nodes/ImageBlend.mdx | 22 + built-in-nodes/ImageBlur.mdx | 21 + built-in-nodes/ImageColorToMask.mdx | 20 + built-in-nodes/ImageCompare.mdx | 23 + built-in-nodes/ImageCompositeMasked.mdx | 24 + built-in-nodes/ImageCrop.mdx | 23 + built-in-nodes/ImageCropV2.mdx | 24 + built-in-nodes/ImageDeduplication.mdx | 22 + built-in-nodes/ImageFlip.mdx | 22 + built-in-nodes/ImageFromBatch.mdx | 21 + built-in-nodes/ImageGrid.mdx | 25 + built-in-nodes/ImageInvert.mdx | 19 + built-in-nodes/ImageOnlyCheckpointLoader.mdx | 23 + built-in-nodes/ImageOnlyCheckpointSave.mdx | 26 + built-in-nodes/ImagePadForOutpaint.mdx | 25 + built-in-nodes/ImageQuantize.mdx | 21 + built-in-nodes/ImageRGBToYUV.mdx | 23 + built-in-nodes/ImageRotate.mdx | 22 + built-in-nodes/ImageScale.mdx | 23 + built-in-nodes/ImageScaleBy.mdx | 21 + built-in-nodes/ImageScaleToMaxDimension.mdx | 23 + built-in-nodes/ImageScaleToTotalPixels.mdx | 21 + built-in-nodes/ImageSharpen.mdx | 22 + built-in-nodes/ImageStitch.mdx | 58 + built-in-nodes/ImageToMask.mdx | 20 + built-in-nodes/ImageUpscaleWithModel.mdx | 20 + built-in-nodes/ImageYUVToRGB.mdx | 25 + built-in-nodes/InpaintModelConditioning.mdx | 25 + .../InstructPixToPixConditioning.mdx | 28 + built-in-nodes/InvertBooleanNode.mdx | 21 + built-in-nodes/InvertMask.mdx | 19 + built-in-nodes/JoinAudioChannels.mdx | 24 + built-in-nodes/JoinImageWithAlpha.mdx | 20 + built-in-nodes/KSampler.mdx | 88 + built-in-nodes/KSamplerAdvanced.mdx | 31 + built-in-nodes/KSamplerSelect.mdx | 19 + built-in-nodes/Kandinsky5ImageToVideo.mdx | 33 + built-in-nodes/KarrasScheduler.mdx | 22 + built-in-nodes/KlingCameraControlI2VNode.mdx | 28 + built-in-nodes/KlingCameraControlT2VNode.mdx | 27 + built-in-nodes/KlingCameraControls.mdx | 29 + .../KlingDualCharacterVideoEffectNode.mdx | 27 + built-in-nodes/KlingFirstLastFrameNode.mdx | 30 + built-in-nodes/KlingImage2VideoNode.mdx | 30 + built-in-nodes/KlingImageGenerationNode.mdx | 35 + built-in-nodes/KlingImageToVideoWithAudio.mdx | 26 + .../KlingLipSyncAudioToVideoNode.mdx | 34 + .../KlingLipSyncTextToVideoNode.mdx | 32 + built-in-nodes/KlingMotionControl.mdx | 31 + built-in-nodes/KlingOmniProEditVideoNode.mdx | 35 + .../KlingOmniProFirstLastFrameNode.mdx | 36 + built-in-nodes/KlingOmniProImageNode.mdx | 25 + .../KlingOmniProImageToVideoNode.mdx | 28 + .../KlingOmniProTextToVideoNode.mdx | 25 + .../KlingOmniProVideoToVideoNode.mdx | 35 + .../KlingSingleImageVideoEffectNode.mdx | 28 + built-in-nodes/KlingStartEndFrameNode.mdx | 36 + built-in-nodes/KlingTextToVideoNode.mdx | 27 + built-in-nodes/KlingTextToVideoWithAudio.mdx | 26 + built-in-nodes/KlingVideoExtendNode.mdx | 28 + built-in-nodes/KlingVideoNode.mdx | 41 + built-in-nodes/KlingVirtualTryOnNode.mdx | 23 + built-in-nodes/LTXAVTextEncoderLoader.mdx | 25 + built-in-nodes/LTXVAddGuide.mdx | 31 + built-in-nodes/LTXVAudioVAEDecode.mdx | 24 + built-in-nodes/LTXVAudioVAEEncode.mdx | 22 + built-in-nodes/LTXVAudioVAELoader.mdx | 21 + built-in-nodes/LTXVConcatAVLatent.mdx | 24 + built-in-nodes/LTXVConditioning.mdx | 24 + built-in-nodes/LTXVCropGuides.mdx | 25 + built-in-nodes/LTXVEmptyLatentAudio.mdx | 26 + built-in-nodes/LTXVImgToVideo.mdx | 31 + built-in-nodes/LTXVImgToVideoInplace.mdx | 27 + built-in-nodes/LTXVLatentUpsampler.mdx | 23 + built-in-nodes/LTXVPreprocess.mdx | 22 + built-in-nodes/LTXVScheduler.mdx | 28 + built-in-nodes/LTXVSeparateAVLatent.mdx | 24 + built-in-nodes/LaplaceScheduler.mdx | 25 + built-in-nodes/LatentAdd.mdx | 20 + built-in-nodes/LatentApplyOperation.mdx | 22 + built-in-nodes/LatentApplyOperationCFG.mdx | 22 + built-in-nodes/LatentBatch.mdx | 20 + built-in-nodes/LatentBatchSeedBehavior.mdx | 20 + built-in-nodes/LatentBlend.mdx | 25 + built-in-nodes/LatentComposite.mdx | 23 + built-in-nodes/LatentCompositeMasked.mdx | 25 + built-in-nodes/LatentConcat.mdx | 25 + built-in-nodes/LatentCrop.mdx | 24 + built-in-nodes/LatentCut.mdx | 24 + built-in-nodes/LatentCutToBatch.mdx | 23 + built-in-nodes/LatentFlip.mdx | 21 + built-in-nodes/LatentFromBatch.mdx | 22 + built-in-nodes/LatentInterpolate.mdx | 22 + built-in-nodes/LatentMultiply.mdx | 21 + built-in-nodes/LatentOperationSharpen.mdx | 23 + .../LatentOperationTonemapReinhard.mdx | 21 + built-in-nodes/LatentRotate.mdx | 21 + built-in-nodes/LatentSubtract.mdx | 21 + built-in-nodes/LatentUpscale.mdx | 24 + built-in-nodes/LatentUpscaleBy.mdx | 22 + built-in-nodes/LatentUpscaleModelLoader.mdx | 21 + built-in-nodes/LazyCache.mdx | 25 + built-in-nodes/Load3D.mdx | 54 +- built-in-nodes/Load3DAnimation.mdx | 141 + built-in-nodes/LoadAudio.mdx | 23 + built-in-nodes/LoadImage.mdx | 21 + built-in-nodes/LoadImageDataSetFromFolder.mdx | 21 + built-in-nodes/LoadImageMask.mdx | 21 + built-in-nodes/LoadImageOutput.mdx | 22 + built-in-nodes/LoadImageSetFromFolderNode.mdx | 22 + built-in-nodes/LoadImageSetNode.mdx | 22 + .../LoadImageTextDataSetFromFolder.mdx | 24 + .../LoadImageTextSetFromFolderNode.mdx | 28 + built-in-nodes/LoadLatent.mdx | 21 + built-in-nodes/LoadTrainingDataset.mdx | 22 + built-in-nodes/LoadVideo.mdx | 23 + built-in-nodes/LoraLoader.mdx | 33 + built-in-nodes/LoraLoaderBypass.mdx | 28 + built-in-nodes/LoraLoaderBypassModelOnly.mdx | 23 + built-in-nodes/LoraLoaderModelOnly.mdx | 24 + built-in-nodes/LoraModelLoader.mdx | 25 + built-in-nodes/LoraSave.mdx | 28 + built-in-nodes/LossGraphNode.mdx | 24 + built-in-nodes/LotusConditioning.mdx | 21 + built-in-nodes/LtxvApiImageToVideo.mdx | 33 + built-in-nodes/LtxvApiTextToVideo.mdx | 31 + built-in-nodes/LumaConceptsNode.mdx | 27 + built-in-nodes/LumaImageModifyNode.mdx | 25 + built-in-nodes/LumaImageNode.mdx | 35 + built-in-nodes/LumaImageToVideoNode.mdx | 31 + built-in-nodes/LumaReferenceNode.mdx | 23 + built-in-nodes/LumaVideoNode.mdx | 30 + built-in-nodes/MagnificImageRelightNode.mdx | 41 + .../MagnificImageSkinEnhancerNode.mdx | 33 + .../MagnificImageStyleTransferNode.mdx | 38 + .../MagnificImageUpscalerCreativeNode.mdx | 37 + .../MagnificImageUpscalerPreciseV2Node.mdx | 29 + built-in-nodes/Mahiro.mdx | 21 + built-in-nodes/MakeTrainingDataset.mdx | 29 + built-in-nodes/ManualSigmas.mdx | 21 + built-in-nodes/MarkdownNote.mdx | 13 + built-in-nodes/MaskComposite.mdx | 24 + built-in-nodes/MaskPreview.mdx | 24 + built-in-nodes/MaskToImage.mdx | 20 + built-in-nodes/MergeImageLists.mdx | 23 + built-in-nodes/MergeTextLists.mdx | 23 + built-in-nodes/MeshyAnimateModelNode.mdx | 24 + built-in-nodes/MeshyImageToModelNode.mdx | 41 + built-in-nodes/MeshyMultiImageToModelNode.mdx | 42 + built-in-nodes/MeshyRefineNode.mdx | 30 + built-in-nodes/MeshyRigModelNode.mdx | 28 + built-in-nodes/MeshyTextToModelNode.mdx | 34 + built-in-nodes/MeshyTextureNode.mdx | 34 + built-in-nodes/MinimaxHailuoVideoNode.mdx | 28 + built-in-nodes/MinimaxImageToVideoNode.mdx | 24 + built-in-nodes/MinimaxSubjectToVideoNode.mdx | 24 + built-in-nodes/MinimaxTextToVideoNode.mdx | 23 + built-in-nodes/ModelComputeDtype.mdx | 22 + built-in-nodes/ModelMergeAdd.mdx | 21 + built-in-nodes/ModelMergeAuraflow.mdx | 65 + 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b/built-in-nodes/APG.mdx @@ -0,0 +1,24 @@ +--- +title: "APG - ComfyUI Built-in Node Documentation" +description: "The APG (Adaptive Projected Guidance) node modifies the sampling process by adjusting how guidance is applied during diffusion. It separates the guidance vector into parallel and orthogonal compone..." +sidebarTitle: "APG" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/APG/en.md) + +The APG (Adaptive Projected Guidance) node modifies the sampling process by adjusting how guidance is applied during diffusion. It separates the guidance vector into parallel and orthogonal components relative to the conditional output, allowing for more controlled image generation. The node provides parameters to scale the guidance, normalize its magnitude, and apply momentum for smoother transitions between diffusion steps. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | MODEL | Required | - | - | The diffusion model to apply adaptive projected guidance to | +| `eta` | FLOAT | Required | 1.0 | -10.0 to 10.0 | Controls the scale of the parallel guidance vector. Default CFG behavior at a setting of 1. | +| `norm_threshold` | FLOAT | Required | 5.0 | 0.0 to 50.0 | Normalize guidance vector to this value, normalization disable at a setting of 0. | +| `momentum` | FLOAT | Required | 0.0 | -5.0 to 1.0 | Controls a running average of guidance during diffusion, disabled at a setting of 0. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | Returns the modified model with adaptive projected guidance applied to its sampling process | diff --git a/built-in-nodes/AddNoise.mdx b/built-in-nodes/AddNoise.mdx new file mode 100644 index 000000000..5bf4bd84d --- /dev/null +++ b/built-in-nodes/AddNoise.mdx @@ -0,0 +1,30 @@ +--- +title: "AddNoise - ComfyUI Built-in Node Documentation" +description: "# AddNoise" +sidebarTitle: "AddNoise" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddNoise/en.md) + +# AddNoise + +This node adds controlled noise to a latent image using specified noise parameters and sigma values. It processes the input through the model's sampling system to apply noise scaling appropriate for the given sigma range. + +## How It Works + +The node takes a latent image and applies noise to it based on the provided noise generator and sigma values. It first checks if there are any sigmas provided - if not, it returns the original latent image unchanged. The node then uses the model's sampling system to process the latent image and apply scaled noise. The noise scaling is determined by the difference between the first and last sigma values when multiple sigmas are provided, or by the single sigma value when only one is available. Empty latent images (containing only zeros) are not shifted during processing. The final output is a new latent representation with the applied noise, with any NaN or infinite values converted to zeros for stability. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | MODEL | Required | - | - | The model containing sampling parameters and processing functions | +| `noise` | NOISE | Required | - | - | The noise generator that produces the base noise pattern | +| `sigmas` | SIGMAS | Required | - | - | Sigma values controlling the noise scaling intensity | +| `latent_image` | LATENT | Required | - | - | The input latent representation to which noise will be added | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `LATENT` | LATENT | The modified latent representation with added noise | diff --git a/built-in-nodes/AddTextPrefix.mdx b/built-in-nodes/AddTextPrefix.mdx new file mode 100644 index 000000000..939302a23 --- /dev/null +++ b/built-in-nodes/AddTextPrefix.mdx @@ -0,0 +1,22 @@ +--- +title: "AddTextPrefix - ComfyUI Built-in Node Documentation" +description: "The Add Text Prefix node modifies text by adding a specified string to the beginning of each input text. It takes the text and a prefix as input, then returns the combined result." +sidebarTitle: "AddTextPrefix" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextPrefix/en.md) + +The Add Text Prefix node modifies text by adding a specified string to the beginning of each input text. It takes the text and a prefix as input, then returns the combined result. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `text` | STRING | Yes | | The text to which the prefix will be added. | +| `prefix` | STRING | No | | The string to add to the beginning of the text (default: ""). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `text` | STRING | The resulting text with the prefix added to the front. | diff --git a/built-in-nodes/AddTextSuffix.mdx b/built-in-nodes/AddTextSuffix.mdx new file mode 100644 index 000000000..f2660c1b1 --- /dev/null +++ b/built-in-nodes/AddTextSuffix.mdx @@ -0,0 +1,22 @@ +--- +title: "AddTextSuffix - ComfyUI Built-in Node Documentation" +description: "This node appends a specified suffix to the end of an input text string. It takes the original text and the suffix as inputs, then returns the combined result." +sidebarTitle: "AddTextSuffix" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextSuffix/en.md) + +This node appends a specified suffix to the end of an input text string. It takes the original text and the suffix as inputs, then returns the combined result. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `text` | STRING | Yes | | The original text to which the suffix will be added. | +| `suffix` | STRING | No | | The suffix to add to the text (default: ""). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `text` | STRING | The resulting text after the suffix has been appended. | diff --git a/built-in-nodes/AdjustBrightness.mdx b/built-in-nodes/AdjustBrightness.mdx new file mode 100644 index 000000000..e6ddbf50b --- /dev/null +++ b/built-in-nodes/AdjustBrightness.mdx @@ -0,0 +1,22 @@ +--- +title: "AdjustBrightness - ComfyUI Built-in Node Documentation" +description: "The Adjust Brightness node modifies the brightness of an input image. It works by multiplying each pixel's value by a specified factor, then ensuring the resulting values stay within a valid range...." +sidebarTitle: "AdjustBrightness" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustBrightness/en.md) + +The Adjust Brightness node modifies the brightness of an input image. It works by multiplying each pixel's value by a specified factor, then ensuring the resulting values stay within a valid range. A factor of 1.0 leaves the image unchanged, values below 1.0 make it darker, and values above 1.0 make it brighter. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to adjust. | +| `factor` | FLOAT | No | 0.0 - 2.0 | Brightness factor. 1.0 = no change, <1.0 = darker, >1.0 = brighter. (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The output image with adjusted brightness. | diff --git a/built-in-nodes/AdjustContrast.mdx b/built-in-nodes/AdjustContrast.mdx new file mode 100644 index 000000000..764278240 --- /dev/null +++ b/built-in-nodes/AdjustContrast.mdx @@ -0,0 +1,22 @@ +--- +title: "AdjustContrast - ComfyUI Built-in Node Documentation" +description: "The Adjust Contrast node modifies the contrast level of an input image. It works by adjusting the difference between the light and dark areas of the image. A factor of 1.0 leaves the image unchange..." +sidebarTitle: "AdjustContrast" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustContrast/en.md) + +The Adjust Contrast node modifies the contrast level of an input image. It works by adjusting the difference between the light and dark areas of the image. A factor of 1.0 leaves the image unchanged, values below 1.0 reduce contrast, and values above 1.0 increase it. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to have its contrast adjusted. | +| `factor` | FLOAT | No | 0.0 - 2.0 | Contrast factor. 1.0 = no change, <1.0 = less contrast, >1.0 = more contrast. (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The resulting image with adjusted contrast. | diff --git a/built-in-nodes/AlignYourStepsScheduler.mdx b/built-in-nodes/AlignYourStepsScheduler.mdx new file mode 100644 index 000000000..cee549526 --- /dev/null +++ b/built-in-nodes/AlignYourStepsScheduler.mdx @@ -0,0 +1,23 @@ +--- +title: "AlignYourStepsScheduler - ComfyUI Built-in Node Documentation" +description: "The AlignYourStepsScheduler node generates sigma values for the denoising process based on different model types. It calculates appropriate noise levels for each step of the sampling process and ad..." +sidebarTitle: "AlignYourStepsScheduler" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AlignYourStepsScheduler/en.md) + +The AlignYourStepsScheduler node generates sigma values for the denoising process based on different model types. It calculates appropriate noise levels for each step of the sampling process and adjusts the total number of steps according to the denoise parameter. This helps align the sampling steps with the specific requirements of different diffusion models. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model_type` | STRING | COMBO | - | SD1, SDXL, SVD | Specifies the type of model to use for sigma calculation | +| `steps` | INT | INT | 10 | 1-10000 | The total number of sampling steps to generate | +| `denoise` | FLOAT | FLOAT | 1.0 | 0.0-1.0 | Controls how much to denoise the image, where 1.0 uses all steps and lower values use fewer steps | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sigmas` | SIGMAS | Returns the calculated sigma values for the denoising process | diff --git a/built-in-nodes/AudioAdjustVolume.mdx b/built-in-nodes/AudioAdjustVolume.mdx new file mode 100644 index 000000000..def5ceb0d --- /dev/null +++ b/built-in-nodes/AudioAdjustVolume.mdx @@ -0,0 +1,22 @@ +--- +title: "AudioAdjustVolume - ComfyUI Built-in Node Documentation" +description: "The AudioAdjustVolume node modifies the loudness of audio by applying volume adjustments in decibels. It takes an audio input and applies a gain factor based on the specified volume level, where po..." +sidebarTitle: "AudioAdjustVolume" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioAdjustVolume/en.md) + +The AudioAdjustVolume node modifies the loudness of audio by applying volume adjustments in decibels. It takes an audio input and applies a gain factor based on the specified volume level, where positive values increase volume and negative values decrease it. The node returns the modified audio with the same sample rate as the original. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `audio` | AUDIO | required | - | - | The audio input to be processed | +| `volume` | INT | required | 1.0 | -100 to 100 | Volume adjustment in decibels (dB). 0 = no change, +6 = double, -6 = half, etc | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The processed audio with adjusted volume level | diff --git a/built-in-nodes/AudioConcat.mdx b/built-in-nodes/AudioConcat.mdx new file mode 100644 index 000000000..d0735f131 --- /dev/null +++ b/built-in-nodes/AudioConcat.mdx @@ -0,0 +1,23 @@ +--- +title: "AudioConcat - ComfyUI Built-in Node Documentation" +description: "The AudioConcat node combines two audio inputs by joining them together. It takes two audio inputs and connects them in the order you specify, either placing the second audio before or after the fi..." +sidebarTitle: "AudioConcat" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioConcat/en.md) + +The AudioConcat node combines two audio inputs by joining them together. It takes two audio inputs and connects them in the order you specify, either placing the second audio before or after the first audio. The node automatically handles different audio formats by converting mono audio to stereo and matching sample rates between the two inputs. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `audio1` | AUDIO | required | - | - | The first audio input to be concatenated | +| `audio2` | AUDIO | required | - | - | The second audio input to be concatenated | +| `direction` | COMBO | required | after | ['after', 'before'] | Whether to append audio2 after or before audio1 | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `AUDIO` | AUDIO | The combined audio containing both input audio files joined together | diff --git a/built-in-nodes/AudioEncoderEncode.mdx b/built-in-nodes/AudioEncoderEncode.mdx new file mode 100644 index 000000000..0c941db39 --- /dev/null +++ b/built-in-nodes/AudioEncoderEncode.mdx @@ -0,0 +1,22 @@ +--- +title: "AudioEncoderEncode - ComfyUI Built-in Node Documentation" +description: "The AudioEncoderEncode node processes audio data by encoding it using an audio encoder model. It takes audio input and converts it into an encoded representation that can be used for further proces..." +sidebarTitle: "AudioEncoderEncode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderEncode/en.md) + +The AudioEncoderEncode node processes audio data by encoding it using an audio encoder model. It takes audio input and converts it into an encoded representation that can be used for further processing in the conditioning pipeline. This node transforms raw audio waveforms into a format suitable for audio-based machine learning applications. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `audio_encoder` | AUDIO_ENCODER | Required | - | - | The audio encoder model used to process the audio input | +| `audio` | AUDIO | Required | - | - | The audio data containing waveform and sample rate information | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | AUDIO_ENCODER_OUTPUT | The encoded audio representation generated by the audio encoder | diff --git a/built-in-nodes/AudioEncoderLoader.mdx b/built-in-nodes/AudioEncoderLoader.mdx new file mode 100644 index 000000000..7ba4a4010 --- /dev/null +++ b/built-in-nodes/AudioEncoderLoader.mdx @@ -0,0 +1,21 @@ +--- +title: "AudioEncoderLoader - ComfyUI Built-in Node Documentation" +description: "The AudioEncoderLoader node loads audio encoder models from your available audio encoder files. It takes an audio encoder filename as input and returns a loaded audio encoder model that can be used..." +sidebarTitle: "AudioEncoderLoader" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderLoader/en.md) + +The AudioEncoderLoader node loads audio encoder models from your available audio encoder files. It takes an audio encoder filename as input and returns a loaded audio encoder model that can be used for audio processing tasks in your workflow. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `audio_encoder_name` | STRING | COMBO | - | Available audio encoder files | Selects which audio encoder model file to load from your audio_encoders folder | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio_encoder` | AUDIO_ENCODER | Returns the loaded audio encoder model for use in audio processing workflows | diff --git a/built-in-nodes/AudioEqualizer3Band.mdx b/built-in-nodes/AudioEqualizer3Band.mdx new file mode 100644 index 000000000..cd2db17cf --- /dev/null +++ b/built-in-nodes/AudioEqualizer3Band.mdx @@ -0,0 +1,30 @@ +--- +title: "AudioEqualizer3Band - ComfyUI Built-in Node Documentation" +description: "The Audio Equalizer (3-Band) node allows you to adjust the bass, mid, and treble frequencies of an audio waveform. It applies three separate filters: a low shelf for bass, a peaking filter for mids..." +sidebarTitle: "AudioEqualizer3Band" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEqualizer3Band/en.md) + +The Audio Equalizer (3-Band) node allows you to adjust the bass, mid, and treble frequencies of an audio waveform. It applies three separate filters: a low shelf for bass, a peaking filter for mids, and a high shelf for treble. Each band can be independently controlled with gain, frequency, and bandwidth settings. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | - | The input audio data containing the waveform and sample rate. | +| `low_gain_dB` | FLOAT | No | -24.0 to 24.0 | Gain for Low frequencies (Bass). Positive values boost, negative values cut. (default: 0.0) | +| `low_freq` | INT | No | 20 to 500 | Cutoff frequency for Low shelf filter in Hertz (Hz). (default: 100) | +| `mid_gain_dB` | FLOAT | No | -24.0 to 24.0 | Gain for Mid frequencies. Positive values boost, negative values cut. (default: 0.0) | +| `mid_freq` | INT | No | 200 to 4000 | Center frequency for the Mid peaking filter in Hertz (Hz). (default: 1000) | +| `mid_q` | FLOAT | No | 0.1 to 10.0 | Q factor (bandwidth) for the Mid peaking filter. Lower values create a wider band, higher values create a narrower band. (default: 0.707) | +| `high_gain_dB` | FLOAT | No | -24.0 to 24.0 | Gain for High frequencies (Treble). Positive values boost, negative values cut. (default: 0.0) | +| `high_freq` | INT | No | 1000 to 15000 | Cutoff frequency for High shelf filter in Hertz (Hz). (default: 5000) | + +**Note:** The `low_gain_dB`, `mid_gain_dB`, and `high_gain_dB` parameters are only applied when their value is not zero. If a gain is set to 0.0, the corresponding filter stage is skipped. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The processed audio data with the equalization applied, containing the modified waveform and the original sample rate. | diff --git a/built-in-nodes/AudioMerge.mdx b/built-in-nodes/AudioMerge.mdx new file mode 100644 index 000000000..4d88baa5b --- /dev/null +++ b/built-in-nodes/AudioMerge.mdx @@ -0,0 +1,23 @@ +--- +title: "AudioMerge - ComfyUI Built-in Node Documentation" +description: "The AudioMerge node combines two audio tracks by overlaying their waveforms. It automatically matches the sample rates of both audio inputs and adjusts their lengths to be equal before merging. The..." +sidebarTitle: "AudioMerge" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioMerge/en.md) + +The AudioMerge node combines two audio tracks by overlaying their waveforms. It automatically matches the sample rates of both audio inputs and adjusts their lengths to be equal before merging. The node provides several mathematical methods for combining the audio signals and ensures the output remains within acceptable volume levels. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `audio1` | AUDIO | required | - | - | First audio input to merge | +| `audio2` | AUDIO | required | - | - | Second audio input to merge | +| `merge_method` | COMBO | required | - | ["add", "mean", "subtract", "multiply"] | The method used to combine the audio waveforms. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `AUDIO` | AUDIO | The merged audio output containing the combined waveform and sample rate | diff --git a/built-in-nodes/AutogrowNamesTestNode.mdx b/built-in-nodes/AutogrowNamesTestNode.mdx new file mode 100644 index 000000000..5d1009699 --- /dev/null +++ b/built-in-nodes/AutogrowNamesTestNode.mdx @@ -0,0 +1,23 @@ +--- +title: "AutogrowNamesTestNode - ComfyUI Built-in Node Documentation" +description: "This node is a test for the Autogrow input feature. It takes a dynamic number of float inputs, each labeled with a specific name, and combines their values into a single comma-separated string." +sidebarTitle: "AutogrowNamesTestNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowNamesTestNode/en.md) + +This node is a test for the Autogrow input feature. It takes a dynamic number of float inputs, each labeled with a specific name, and combines their values into a single comma-separated string. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `autogrow` | FLOAT | Yes | N/A | A dynamic input group. You can add multiple float inputs, each with a pre-defined name from the list: "a", "b", or "c". The node will accept any combination of these named inputs. | + +**Note:** The `autogrow` input is dynamic. You can add or remove individual float inputs (named "a", "b", or "c") as needed for your workflow. The node processes all provided values. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | A single string containing the values from all provided float inputs, joined together with commas. | diff --git a/built-in-nodes/AutogrowPrefixTestNode.mdx b/built-in-nodes/AutogrowPrefixTestNode.mdx new file mode 100644 index 000000000..6eb838e9f --- /dev/null +++ b/built-in-nodes/AutogrowPrefixTestNode.mdx @@ -0,0 +1,23 @@ +--- +title: "AutogrowPrefixTestNode - ComfyUI Built-in Node Documentation" +description: "The AutogrowPrefixTestNode is a logic node designed to test the autogrow input feature. It accepts a dynamic number of float inputs, combines their values into a comma-separated string, and outputs..." +sidebarTitle: "AutogrowPrefixTestNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/en.md) + +The AutogrowPrefixTestNode is a logic node designed to test the autogrow input feature. It accepts a dynamic number of float inputs, combines their values into a comma-separated string, and outputs that string. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `autogrow` | AUTOGROW | Yes | 1 to 10 inputs | A dynamic input group that can accept between 1 and 10 float values. Each input in the group is a FLOAT type. | + +**Note:** The `autogrow` input is a special dynamic input. You can add multiple float inputs to this group, up to a maximum of 10. The node will process all provided values. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | A single string containing all the input float values, separated by commas. | diff --git a/built-in-nodes/BasicGuider.mdx b/built-in-nodes/BasicGuider.mdx new file mode 100644 index 000000000..a4dacb582 --- /dev/null +++ b/built-in-nodes/BasicGuider.mdx @@ -0,0 +1,22 @@ +--- +title: "BasicGuider - ComfyUI Built-in Node Documentation" +description: "The BasicGuider node creates a simple guidance mechanism for the sampling process. It takes a model and conditioning data as inputs and produces a guider object that can be used to guide the genera..." +sidebarTitle: "BasicGuider" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicGuider/en.md) + +The BasicGuider node creates a simple guidance mechanism for the sampling process. It takes a model and conditioning data as inputs and produces a guider object that can be used to guide the generation process during sampling. This node provides the fundamental guidance functionality needed for controlled generation. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | MODEL | required | - | - | The model to be used for guidance | +| `conditioning` | CONDITIONING | required | - | - | The conditioning data that guides the generation process | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `GUIDER` | GUIDER | A guider object that can be used during the sampling process to guide generation | diff --git a/built-in-nodes/BasicScheduler.mdx b/built-in-nodes/BasicScheduler.mdx index ac4928595..61b9c975b 100755 --- a/built-in-nodes/BasicScheduler.mdx +++ b/built-in-nodes/BasicScheduler.mdx @@ -1,10 +1,9 @@ --- title: "BasicScheduler - ComfyUI Built-in Node Documentation" -description: "The BasicScheduler node is used to compute a sequence of sigma values for diffusion models based on the provided scheduler, model, and denoising parameters." +description: "The `BasicScheduler` node is designed to compute a sequence of sigma values for diffusion models based on the provided scheduler, model, and denoising parameters. It dynamically adjusts the total n..." sidebarTitle: "BasicScheduler" icon: "circle" --- - The `BasicScheduler` node is designed to compute a sequence of sigma values for diffusion models based on the provided scheduler, model, and denoising parameters. It dynamically adjusts the total number of steps based on the denoise factor to fine-tune the diffusion process, providing precise "recipes" for different stages in advanced sampling processes that require fine control (such as multi-stage sampling). ## Inputs diff --git a/built-in-nodes/BatchImagesMasksLatentsNode.mdx b/built-in-nodes/BatchImagesMasksLatentsNode.mdx new file mode 100644 index 000000000..b25d9776f --- /dev/null +++ b/built-in-nodes/BatchImagesMasksLatentsNode.mdx @@ -0,0 +1,23 @@ +--- +title: "BatchImagesMasksLatentsNode - ComfyUI Built-in Node Documentation" +description: "The Batch Images/Masks/Latents node combines multiple inputs of the same type into a single batch. It automatically detects whether the inputs are images, masks, or latent representations and uses ..." +sidebarTitle: "BatchImagesMasksLatentsNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/en.md) + +The Batch Images/Masks/Latents node combines multiple inputs of the same type into a single batch. It automatically detects whether the inputs are images, masks, or latent representations and uses the appropriate batching method. This is useful for preparing multiple items for processing by nodes that accept batched inputs. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `inputs` | IMAGE, MASK, or LATENT | Yes | 1 to 50 inputs | A dynamic list of inputs to be combined into a batch. You can add between 1 and 50 items. All items must be of the same type (all images, all masks, or all latents). | + +**Note:** The node automatically determines the data type (IMAGE, MASK, or LATENT) based on the first item in the `inputs` list. All subsequent items must match this type. The node will fail if you try to mix different data types. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE, MASK, or LATENT | A single batched output. The data type matches the input type (batched IMAGE, batched MASK, or batched LATENT). | diff --git a/built-in-nodes/BatchImagesNode.mdx b/built-in-nodes/BatchImagesNode.mdx new file mode 100644 index 000000000..28a8f5374 --- /dev/null +++ b/built-in-nodes/BatchImagesNode.mdx @@ -0,0 +1,23 @@ +--- +title: "BatchImagesNode - ComfyUI Built-in Node Documentation" +description: "The Batch Images node combines multiple individual images into a single batch. It takes a variable number of image inputs and outputs them as one batched image tensor, allowing them to be processed..." +sidebarTitle: "BatchImagesNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesNode/en.md) + +The Batch Images node combines multiple individual images into a single batch. It takes a variable number of image inputs and outputs them as one batched image tensor, allowing them to be processed together in subsequent nodes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | 2 to 50 inputs | A dynamic list of image inputs. You can add between 2 and 50 images to be combined into a batch. The node interface allows you to add more image input slots as needed. | + +**Note:** You must connect at least two images for the node to function. The first input slot is always required, and you can add more using the "+" button that appears in the node interface. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | A single batched image tensor containing all the input images stacked together. | diff --git a/built-in-nodes/BatchLatentsNode.mdx b/built-in-nodes/BatchLatentsNode.mdx new file mode 100644 index 000000000..bcdd61b6d --- /dev/null +++ b/built-in-nodes/BatchLatentsNode.mdx @@ -0,0 +1,24 @@ +--- +title: "BatchLatentsNode - ComfyUI Built-in Node Documentation" +description: "The Batch Latents node combines multiple latent inputs into a single batch. It takes a variable number of latent samples and merges them along the batch dimension, allowing them to be processed tog..." +sidebarTitle: "BatchLatentsNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchLatentsNode/en.md) + +The Batch Latents node combines multiple latent inputs into a single batch. It takes a variable number of latent samples and merges them along the batch dimension, allowing them to be processed together in subsequent nodes. This is useful for generating or processing multiple images in a single operation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `latents` | LATENT | Yes | N/A | The first latent sample to be included in the batch. | +| `latent_2` to `latent_50` | LATENT | No | N/A | Additional latent samples to be included in the batch. You can add between 2 and 50 latent inputs in total. | + +**Note:** You must provide at least two latent inputs for the node to function. The node will automatically create input slots as you connect more latents, up to a maximum of 50. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | LATENT | A single latent output containing all the input latents combined into one batch. | diff --git a/built-in-nodes/BatchMasksNode.mdx b/built-in-nodes/BatchMasksNode.mdx new file mode 100644 index 000000000..76205ccad --- /dev/null +++ b/built-in-nodes/BatchMasksNode.mdx @@ -0,0 +1,25 @@ +--- +title: "BatchMasksNode - ComfyUI Built-in Node Documentation" +description: "The Batch Masks node combines multiple individual mask inputs into a single batch. It takes a variable number of mask inputs and outputs them as a single batched mask tensor, allowing for batch pro..." +sidebarTitle: "BatchMasksNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchMasksNode/en.md) + +The Batch Masks node combines multiple individual mask inputs into a single batch. It takes a variable number of mask inputs and outputs them as a single batched mask tensor, allowing for batch processing of masks in subsequent nodes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `mask_0` | MASK | Yes | - | The first mask input. | +| `mask_1` | MASK | Yes | - | The second mask input. | +| `mask_2` to `mask_49` | MASK | No | - | Additional optional mask inputs. The node can accept a minimum of 2 and a maximum of 50 masks in total. | + +**Note:** This node uses an autogrow input template. You must connect at least two masks (`mask_0` and `mask_1`). You can add up to 48 more optional mask inputs (`mask_2` through `mask_49`) for a total of 50 masks. All connected masks will be combined into a single batch. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | MASK | A single batched mask containing all the input masks stacked together. | diff --git a/built-in-nodes/BetaSamplingScheduler.mdx b/built-in-nodes/BetaSamplingScheduler.mdx new file mode 100644 index 000000000..7cac1d300 --- /dev/null +++ b/built-in-nodes/BetaSamplingScheduler.mdx @@ -0,0 +1,24 @@ +--- +title: "BetaSamplingScheduler - ComfyUI Built-in Node Documentation" +description: "The BetaSamplingScheduler node generates a sequence of noise levels (sigmas) for the sampling process using a beta scheduling algorithm. It takes a model and configuration parameters to create a cu..." +sidebarTitle: "BetaSamplingScheduler" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BetaSamplingScheduler/en.md) + +The BetaSamplingScheduler node generates a sequence of noise levels (sigmas) for the sampling process using a beta scheduling algorithm. It takes a model and configuration parameters to create a customized noise schedule that controls the denoising process during image generation. This scheduler allows fine-tuning of the noise reduction trajectory through alpha and beta parameters. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | MODEL | Required | - | - | The model used for sampling, which provides the model sampling object | +| `steps` | INT | Required | 20 | 1-10000 | The number of sampling steps to generate sigmas for | +| `alpha` | FLOAT | Required | 0.6 | 0.0-50.0 | Alpha parameter for the beta scheduler, controlling the scheduling curve | +| `beta` | FLOAT | Required | 0.6 | 0.0-50.0 | Beta parameter for the beta scheduler, controlling the scheduling curve | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `SIGMAS` | SIGMAS | A sequence of noise levels (sigmas) used for the sampling process | diff --git a/built-in-nodes/BriaImageEditNode.mdx b/built-in-nodes/BriaImageEditNode.mdx new file mode 100644 index 000000000..77f1515ac --- /dev/null +++ b/built-in-nodes/BriaImageEditNode.mdx @@ -0,0 +1,37 @@ +--- +title: "BriaImageEditNode - ComfyUI Built-in Node Documentation" +description: "The Bria FIBO Image Edit node allows you to modify an existing image using a text instruction. It sends the image and your prompt to the Bria API, which uses the FIBO model to generate a new, edite..." +sidebarTitle: "BriaImageEditNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaImageEditNode/en.md) + +The Bria FIBO Image Edit node allows you to modify an existing image using a text instruction. It sends the image and your prompt to the Bria API, which uses the FIBO model to generate a new, edited version of the image based on your request. You can also provide a mask to limit the edits to a specific area. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"FIBO"` | The model version to use for image editing. | +| `image` | IMAGE | Yes | - | The input image you want to edit. | +| `prompt` | STRING | No | - | The text instruction describing how to edit the image (default: empty). | +| `negative_prompt` | STRING | No | - | Text describing what you do not want to appear in the edited image (default: empty). | +| `structured_prompt` | STRING | No | - | A string containing the structured edit prompt in JSON format. Use this instead of the usual prompt for precise, programmatic control (default: empty). | +| `seed` | INT | Yes | 1 to 2147483647 | A number used to initialize the random generation, ensuring reproducible results (default: 1). | +| `guidance_scale` | FLOAT | Yes | 3.0 to 5.0 | Controls how closely the generated image follows the prompt. A higher value results in stronger adherence (default: 3.0). | +| `steps` | INT | Yes | 20 to 50 | The number of denoising steps the model will perform (default: 50). | +| `moderation` | DYNAMICCOMBO | Yes | `"true"`
`"false"` | Enables or disables content moderation. Selecting `"true"` reveals additional moderation options. | +| `mask` | MASK | No | - | An optional mask image. If provided, edits will only be applied to the masked areas of the image. | + +**Important Constraints:** + +* You must provide at least one of the `prompt` or `structured_prompt` inputs. They cannot both be empty. +* Exactly one input `image` is required. +* When the `moderation` parameter is set to `"true"`, three additional boolean inputs become available: `prompt_content_moderation`, `visual_input_moderation`, and `visual_output_moderation`. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The edited image returned by the Bria API. | +| `structured_prompt` | STRING | The structured prompt that was used or generated during the editing process. | diff --git a/built-in-nodes/BriaRemoveImageBackground.mdx b/built-in-nodes/BriaRemoveImageBackground.mdx new file mode 100644 index 000000000..b72efa12e --- /dev/null +++ b/built-in-nodes/BriaRemoveImageBackground.mdx @@ -0,0 +1,27 @@ +--- +title: "BriaRemoveImageBackground - ComfyUI Built-in Node Documentation" +description: "This node removes the background from an image using the Bria RMBG 2.0 service. It sends the image to an external API for processing and returns the result with the background removed." +sidebarTitle: "BriaRemoveImageBackground" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md) + +This node removes the background from an image using the Bria RMBG 2.0 service. It sends the image to an external API for processing and returns the result with the background removed. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image from which the background will be removed. | +| `moderation` | COMBO | No | `"false"`
`"true"` | Moderation settings. When set to `"true"`, additional moderation options become available. | +| `visual_input_moderation` | BOOLEAN | No | - | Enables visual content moderation on the input image. This parameter is only available when `moderation` is set to `"true"`. Default: `False`. | +| `visual_output_moderation` | BOOLEAN | No | - | Enables visual content moderation on the output image. This parameter is only available when `moderation` is set to `"true"`. Default: `True`. | +| `seed` | INT | No | 0 to 2147483647 | A seed value that controls whether the node should re-run. The results are non-deterministic regardless of the seed value. Default: `0`. | + +**Note:** The `visual_input_moderation` and `visual_output_moderation` parameters are dependent on the `moderation` parameter. They are only active and required if `moderation` is set to `"true"`. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The processed image with its background removed. | diff --git a/built-in-nodes/BriaRemoveVideoBackground.mdx b/built-in-nodes/BriaRemoveVideoBackground.mdx new file mode 100644 index 000000000..335d3e9e6 --- /dev/null +++ b/built-in-nodes/BriaRemoveVideoBackground.mdx @@ -0,0 +1,25 @@ +--- +title: "BriaRemoveVideoBackground - ComfyUI Built-in Node Documentation" +description: "This node removes the background from a video using the Bria AI service. It processes the input video and replaces the original background with a solid color of your choice. The operation is perfor..." +sidebarTitle: "BriaRemoveVideoBackground" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md) + +This node removes the background from a video using the Bria AI service. It processes the input video and replaces the original background with a solid color of your choice. The operation is performed via an external API, and the result is returned as a new video file. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | N/A | The input video file from which the background will be removed. | +| `background_color` | STRING | Yes | `"Black"`
`"White"`
`"Gray"`
`"Red"`
`"Green"`
`"Blue"`
`"Yellow"`
`"Cyan"`
`"Magenta"`
`"Orange"` | The solid color to use as the new background for the output video. | +| `seed` | INT | No | 0 to 2147483647 | A seed value that controls whether the node should re-run. The results are non-deterministic regardless of the seed value. (default: 0) | + +**Note:** The input video must have a duration of 60 seconds or less. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The processed video file with the background removed and replaced by the selected color. | diff --git a/built-in-nodes/ByteDanceFirstLastFrameNode.mdx b/built-in-nodes/ByteDanceFirstLastFrameNode.mdx new file mode 100644 index 000000000..0ce57bb5b --- /dev/null +++ b/built-in-nodes/ByteDanceFirstLastFrameNode.mdx @@ -0,0 +1,30 @@ +--- +title: "ByteDanceFirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "This node generates a video using a text prompt along with first and last frame images. It takes your description and the two key frames to create a complete video sequence that transitions between..." +sidebarTitle: "ByteDanceFirstLastFrameNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md) + +This node generates a video using a text prompt along with first and last frame images. It takes your description and the two key frames to create a complete video sequence that transitions between them. The node provides various options to control the video's resolution, aspect ratio, duration, and other generation parameters. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | COMBO | combo | seedance_1_lite | seedance_1_lite | Model name | +| `prompt` | STRING | string | - | - | The text prompt used to generate the video. | +| `first_frame` | IMAGE | image | - | - | First frame to be used for the video. | +| `last_frame` | IMAGE | image | - | - | Last frame to be used for the video. | +| `resolution` | COMBO | combo | - | 480p, 720p, 1080p | The resolution of the output video. | +| `aspect_ratio` | COMBO | combo | - | adaptive, 16:9, 4:3, 1:1, 3:4, 9:16, 21:9 | The aspect ratio of the output video. | +| `duration` | INT | slider | 5 | 3-12 | The duration of the output video in seconds. | +| `seed` | INT | number | 0 | 0-2147483647 | Seed to use for generation. (optional) | +| `camera_fixed` | BOOLEAN | boolean | False | - | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect. (optional) | +| `watermark` | BOOLEAN | boolean | True | - | Whether to add an "AI generated" watermark to the video. (optional) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file | diff --git a/built-in-nodes/ByteDanceImageEditNode.mdx b/built-in-nodes/ByteDanceImageEditNode.mdx new file mode 100644 index 000000000..0a6475405 --- /dev/null +++ b/built-in-nodes/ByteDanceImageEditNode.mdx @@ -0,0 +1,26 @@ +--- +title: "ByteDanceImageEditNode - ComfyUI Built-in Node Documentation" +description: "The ByteDance Image Edit node allows you to modify images using ByteDance's AI models through an API. You provide an input image and a text prompt describing the desired changes, and the node proce..." +sidebarTitle: "ByteDanceImageEditNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageEditNode/en.md) + +The ByteDance Image Edit node allows you to modify images using ByteDance's AI models through an API. You provide an input image and a text prompt describing the desired changes, and the node processes the image according to your instructions. The node handles the API communication automatically and returns the edited image. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | MODEL | COMBO | seededit_3 | Image2ImageModelName options | Model name | +| `image` | IMAGE | IMAGE | - | - | The base image to edit | +| `prompt` | STRING | STRING | "" | - | Instruction to edit image | +| `seed` | INT | INT | 0 | 0-2147483647 | Seed to use for generation | +| `guidance_scale` | FLOAT | FLOAT | 5.5 | 1.0-10.0 | Higher value makes the image follow the prompt more closely | +| `watermark` | BOOLEAN | BOOLEAN | True | - | Whether to add an "AI generated" watermark to the image | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The edited image returned from the ByteDance API | diff --git a/built-in-nodes/ByteDanceImageNode.mdx b/built-in-nodes/ByteDanceImageNode.mdx new file mode 100644 index 000000000..15ed0365b --- /dev/null +++ b/built-in-nodes/ByteDanceImageNode.mdx @@ -0,0 +1,28 @@ +--- +title: "ByteDanceImageNode - ComfyUI Built-in Node Documentation" +description: "The ByteDance Image node generates images using ByteDance models through an API based on text prompts. It allows you to select different models, specify image dimensions, and control various genera..." +sidebarTitle: "ByteDanceImageNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md) + +The ByteDance Image node generates images using ByteDance models through an API based on text prompts. It allows you to select different models, specify image dimensions, and control various generation parameters like seed and guidance scale. The node connects to ByteDance's image generation service and returns the created image. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | MODEL | COMBO | seedream_3 | Text2ImageModelName options | Model name | +| `prompt` | STRING | STRING | - | - | The text prompt used to generate the image | +| `size_preset` | STRING | COMBO | - | RECOMMENDED_PRESETS labels | Pick a recommended size. Select Custom to use the width and height below | +| `width` | INT | INT | 1024 | 512-2048 (step 64) | Custom width for image. Value is working only if `size_preset` is set to `Custom` | +| `height` | INT | INT | 1024 | 512-2048 (step 64) | Custom height for image. Value is working only if `size_preset` is set to `Custom` | +| `seed` | INT | INT | 0 | 0-2147483647 (step 1) | Seed to use for generation (optional) | +| `guidance_scale` | FLOAT | FLOAT | 2.5 | 1.0-10.0 (step 0.01) | Higher value makes the image follow the prompt more closely (optional) | +| `watermark` | BOOLEAN | BOOLEAN | True | - | Whether to add an "AI generated" watermark to the image (optional) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The generated image from the ByteDance API | diff --git a/built-in-nodes/ByteDanceImageReferenceNode.mdx b/built-in-nodes/ByteDanceImageReferenceNode.mdx new file mode 100644 index 000000000..03b71cea7 --- /dev/null +++ b/built-in-nodes/ByteDanceImageReferenceNode.mdx @@ -0,0 +1,28 @@ +--- +title: "ByteDanceImageReferenceNode - ComfyUI Built-in Node Documentation" +description: "The ByteDance Image Reference Node generates videos using a text prompt and one to four reference images. It sends the images and prompt to an external API service that creates a video matching you..." +sidebarTitle: "ByteDanceImageReferenceNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md) + +The ByteDance Image Reference Node generates videos using a text prompt and one to four reference images. It sends the images and prompt to an external API service that creates a video matching your description while incorporating the visual style and content from your reference images. The node provides various controls for video resolution, aspect ratio, duration, and other generation parameters. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | MODEL | COMBO | seedance_1_lite | seedance_1_lite | Model name | +| `prompt` | STRING | STRING | - | - | The text prompt used to generate the video. | +| `images` | IMAGE | IMAGE | - | - | One to four images. | +| `resolution` | STRING | COMBO | - | 480p, 720p | The resolution of the output video. | +| `aspect_ratio` | STRING | COMBO | - | adaptive, 16:9, 4:3, 1:1, 3:4, 9:16, 21:9 | The aspect ratio of the output video. | +| `duration` | INT | INT | 5 | 3-12 | The duration of the output video in seconds. | +| `seed` | INT | INT | 0 | 0-2147483647 | Seed to use for generation. | +| `watermark` | BOOLEAN | BOOLEAN | True | - | Whether to add an "AI generated" watermark to the video. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file based on the input prompt and reference images. | diff --git a/built-in-nodes/ByteDanceImageToVideoNode.mdx b/built-in-nodes/ByteDanceImageToVideoNode.mdx new file mode 100644 index 000000000..8f3dd89c4 --- /dev/null +++ b/built-in-nodes/ByteDanceImageToVideoNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ByteDanceImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "The ByteDance Image to Video node generates videos using ByteDance models through an API based on an input image and text prompt. It takes a starting image frame and creates a video sequence that f..." +sidebarTitle: "ByteDanceImageToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md) + +The ByteDance Image to Video node generates videos using ByteDance models through an API based on an input image and text prompt. It takes a starting image frame and creates a video sequence that follows the provided description. The node offers various customization options for video resolution, aspect ratio, duration, and other generation parameters. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | STRING | COMBO | seedance_1_pro | Image2VideoModelName options | Model name | +| `prompt` | STRING | STRING | - | - | The text prompt used to generate the video. | +| `image` | IMAGE | IMAGE | - | - | First frame to be used for the video. | +| `resolution` | STRING | COMBO | - | ["480p", "720p", "1080p"] | The resolution of the output video. | +| `aspect_ratio` | STRING | COMBO | - | ["adaptive", "16:9", "4:3", "1:1", "3:4", "9:16", "21:9"] | The aspect ratio of the output video. | +| `duration` | INT | INT | 5 | 3-12 | The duration of the output video in seconds. | +| `seed` | INT | INT | 0 | 0-2147483647 | Seed to use for generation. | +| `camera_fixed` | BOOLEAN | BOOLEAN | False | - | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect. | +| `watermark` | BOOLEAN | BOOLEAN | True | - | Whether to add an "AI generated" watermark to the video. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file based on the input image and prompt parameters. | diff --git a/built-in-nodes/ByteDanceSeedreamNode.mdx b/built-in-nodes/ByteDanceSeedreamNode.mdx new file mode 100644 index 000000000..a698ade63 --- /dev/null +++ b/built-in-nodes/ByteDanceSeedreamNode.mdx @@ -0,0 +1,31 @@ +--- +title: "ByteDanceSeedreamNode - ComfyUI Built-in Node Documentation" +description: "The ByteDance Seedream 4 node provides unified text-to-image generation and precise single-sentence editing capabilities at up to 4K resolution. It can create new images from text prompts or edit e..." +sidebarTitle: "ByteDanceSeedreamNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md) + +The ByteDance Seedream 4 node provides unified text-to-image generation and precise single-sentence editing capabilities at up to 4K resolution. It can create new images from text prompts or edit existing images using text instructions. The node supports both single image generation and sequential generation of multiple related images. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | MODEL | COMBO | "seedream-4-0-250828" | ["seedream-4-0-250828"] | Model name | +| `prompt` | STRING | STRING | "" | - | Text prompt for creating or editing an image. | +| `image` | IMAGE | IMAGE | - | - | Input image(s) for image-to-image generation. List of 1-10 images for single or multi-reference generation. | +| `size_preset` | STRING | COMBO | First preset from RECOMMENDED_PRESETS_SEEDREAM_4 | All labels from RECOMMENDED_PRESETS_SEEDREAM_4 | Pick a recommended size. Select Custom to use the width and height below. | +| `width` | INT | INT | 2048 | 1024-4096 (step 64) | Custom width for image. Value is working only if `size_preset` is set to `Custom` | +| `height` | INT | INT | 2048 | 1024-4096 (step 64) | Custom height for image. Value is working only if `size_preset` is set to `Custom` | +| `sequential_image_generation` | STRING | COMBO | "disabled" | ["disabled", "auto"] | Group image generation mode. 'disabled' generates a single image. 'auto' lets the model decide whether to generate multiple related images (e.g., story scenes, character variations). | +| `max_images` | INT | INT | 1 | 1-15 | Maximum number of images to generate when sequential_image_generation='auto'. Total images (input + generated) cannot exceed 15. | +| `seed` | INT | INT | 0 | 0-2147483647 | Seed to use for generation. | +| `watermark` | BOOLEAN | BOOLEAN | True | - | Whether to add an "AI generated" watermark to the image. | +| `fail_on_partial` | BOOLEAN | BOOLEAN | True | - | If enabled, abort execution if any requested images are missing or return an error. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | Generated image(s) based on the input parameters and prompt | diff --git a/built-in-nodes/ByteDanceTextToVideoNode.mdx b/built-in-nodes/ByteDanceTextToVideoNode.mdx new file mode 100644 index 000000000..c4121f265 --- /dev/null +++ b/built-in-nodes/ByteDanceTextToVideoNode.mdx @@ -0,0 +1,35 @@ +--- +title: "ByteDanceTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "The ByteDance Text to Video node generates videos using ByteDance models through an API based on text prompts. It takes a text description and various video settings as input, then creates a video ..." +sidebarTitle: "ByteDanceTextToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md) + +The ByteDance Text to Video node generates videos using ByteDance models through an API based on text prompts. It takes a text description and various video settings as input, then creates a video that matches the provided specifications. The node handles the API communication and returns the generated video as output. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | STRING | Combo | seedance_1_pro | Text2VideoModelName options | Model name | +| `prompt` | STRING | String | - | - | The text prompt used to generate the video. | +| `resolution` | STRING | Combo | - | ["480p", "720p", "1080p"] | The resolution of the output video. | +| `aspect_ratio` | STRING | Combo | - | ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"] | The aspect ratio of the output video. | +| `duration` | INT | Int | 5 | 3-12 | The duration of the output video in seconds. | +| `seed` | INT | Int | 0 | 0-2147483647 | Seed to use for generation. (Optional) | +| `camera_fixed` | BOOLEAN | Boolean | False | - | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect. (Optional) | +| `watermark` | BOOLEAN | Boolean | True | - | Whether to add an "AI generated" watermark to the video. (Optional) | + +**Parameter Constraints:** + +- The `prompt` parameter must contain at least 1 character after whitespace removal +- The `prompt` parameter cannot contain the following text parameters: "resolution", "ratio", "duration", "seed", "camerafixed", "watermark" +- The `duration` parameter is limited to values between 3 and 12 seconds +- The `seed` parameter accepts values from 0 to 2,147,483,647 + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file | diff --git a/built-in-nodes/CFGGuider.mdx b/built-in-nodes/CFGGuider.mdx new file mode 100644 index 000000000..1f8f2dd94 --- /dev/null +++ b/built-in-nodes/CFGGuider.mdx @@ -0,0 +1,24 @@ +--- +title: "CFGGuider - ComfyUI Built-in Node Documentation" +description: "The CFGGuider node creates a guidance system for controlling the sampling process in image generation. It takes a model along with positive and negative conditioning inputs, then applies a classifi..." +sidebarTitle: "CFGGuider" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGGuider/en.md) + +The CFGGuider node creates a guidance system for controlling the sampling process in image generation. It takes a model along with positive and negative conditioning inputs, then applies a classifier-free guidance scale to steer the generation toward desired content while avoiding unwanted elements. This node outputs a guider object that can be used by sampling nodes to control the image generation direction. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | MODEL | Required | - | - | The model to be used for guidance | +| `positive` | CONDITIONING | Required | - | - | The positive conditioning that guides the generation toward desired content | +| `negative` | CONDITIONING | Required | - | - | The negative conditioning that steers the generation away from unwanted content | +| `cfg` | FLOAT | Required | 8.0 | 0.0 - 100.0 | The classifier-free guidance scale that controls how strongly the conditioning influences the generation | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `GUIDER` | GUIDER | A guider object that can be passed to sampling nodes to control the generation process | diff --git a/built-in-nodes/CFGNorm.mdx b/built-in-nodes/CFGNorm.mdx new file mode 100644 index 000000000..144d53d33 --- /dev/null +++ b/built-in-nodes/CFGNorm.mdx @@ -0,0 +1,22 @@ +--- +title: "CFGNorm - ComfyUI Built-in Node Documentation" +description: "The CFGNorm node applies a normalization technique to the classifier-free guidance (CFG) process in diffusion models. It adjusts the scale of the denoised prediction by comparing the norms of the c..." +sidebarTitle: "CFGNorm" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGNorm/en.md) + +The CFGNorm node applies a normalization technique to the classifier-free guidance (CFG) process in diffusion models. It adjusts the scale of the denoised prediction by comparing the norms of the conditional and unconditional outputs, then applies a strength multiplier to control the effect. This helps stabilize the generation process by preventing extreme values in the guidance scaling. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | MODEL | required | - | - | The diffusion model to apply CFG normalization to | +| `strength` | FLOAT | required | 1.0 | 0.0 - 100.0 | Controls the intensity of the normalization effect applied to the CFG scaling | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `patched_model` | MODEL | Returns the modified model with CFG normalization applied to its sampling process | diff --git a/built-in-nodes/CFGZeroStar.mdx b/built-in-nodes/CFGZeroStar.mdx new file mode 100644 index 000000000..8052023f3 --- /dev/null +++ b/built-in-nodes/CFGZeroStar.mdx @@ -0,0 +1,21 @@ +--- +title: "CFGZeroStar - ComfyUI Built-in Node Documentation" +description: "The CFGZeroStar node applies a specialized guidance scaling technique to diffusion models. It modifies the classifier-free guidance process by calculating an optimized scale factor based on the dif..." +sidebarTitle: "CFGZeroStar" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGZeroStar/en.md) + +The CFGZeroStar node applies a specialized guidance scaling technique to diffusion models. It modifies the classifier-free guidance process by calculating an optimized scale factor based on the difference between conditional and unconditional predictions. This approach adjusts the final output to provide enhanced control over the generation process while maintaining model stability. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | MODEL | required | - | - | The diffusion model to be modified with the CFGZeroStar guidance scaling technique | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `patched_model` | MODEL | The modified model with CFGZeroStar guidance scaling applied | diff --git a/built-in-nodes/CLIPAdd.mdx b/built-in-nodes/CLIPAdd.mdx new file mode 100644 index 000000000..8ca69388c --- /dev/null +++ b/built-in-nodes/CLIPAdd.mdx @@ -0,0 +1,22 @@ +--- +title: "CLIPAdd - ComfyUI Built-in Node Documentation" +description: "The CLIPAdd node combines two CLIP models by merging their key patches. It creates a copy of the first CLIP model and then adds most of the key patches from the second model, excluding position IDs..." +sidebarTitle: "CLIPAdd" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPAdd/en.md) + +The CLIPAdd node combines two CLIP models by merging their key patches. It creates a copy of the first CLIP model and then adds most of the key patches from the second model, excluding position IDs and logit scale parameters. This allows you to blend features from different CLIP models while preserving the structure of the first model. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `clip1` | CLIP | Required | - | - | The primary CLIP model that will be used as the base for merging | +| `clip2` | CLIP | Required | - | - | The secondary CLIP model that provides additional patches to be added | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CLIP` | CLIP | Returns a merged CLIP model combining features from both input models | diff --git a/built-in-nodes/CLIPAttentionMultiply.mdx b/built-in-nodes/CLIPAttentionMultiply.mdx new file mode 100644 index 000000000..f1b0ac648 --- /dev/null +++ b/built-in-nodes/CLIPAttentionMultiply.mdx @@ -0,0 +1,25 @@ +--- +title: "CLIPAttentionMultiply - ComfyUI Built-in Node Documentation" +description: "The CLIPAttentionMultiply node allows you to adjust the attention mechanism in CLIP models by applying multiplication factors to different components of the self-attention layers. It works by modif..." +sidebarTitle: "CLIPAttentionMultiply" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPAttentionMultiply/en.md) + +The CLIPAttentionMultiply node allows you to adjust the attention mechanism in CLIP models by applying multiplication factors to different components of the self-attention layers. It works by modifying the query, key, value, and output projection weights and biases in the CLIP model's attention mechanism. This experimental node creates a modified copy of the input CLIP model with the specified scaling factors applied. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `clip` | CLIP | required | - | - | The CLIP model to modify | +| `q` | FLOAT | required | 1.0 | 0.0 - 10.0 | Multiplication factor for query projection weights and biases | +| `k` | FLOAT | required | 1.0 | 0.0 - 10.0 | Multiplication factor for key projection weights and biases | +| `v` | FLOAT | required | 1.0 | 0.0 - 10.0 | Multiplication factor for value projection weights and biases | +| `out` | FLOAT | required | 1.0 | 0.0 - 10.0 | Multiplication factor for output projection weights and biases | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CLIP` | CLIP | Returns a modified CLIP model with the specified attention scaling factors applied | diff --git a/built-in-nodes/CLIPMergeAdd.mdx b/built-in-nodes/CLIPMergeAdd.mdx new file mode 100644 index 000000000..1eb9225af --- /dev/null +++ b/built-in-nodes/CLIPMergeAdd.mdx @@ -0,0 +1,22 @@ +--- +title: "CLIPMergeAdd - ComfyUI Built-in Node Documentation" +description: "The CLIPMergeAdd node combines two CLIP models by adding patches from the second model to the first model. It creates a copy of the first CLIP model and selectively incorporates key patches from th..." +sidebarTitle: "CLIPMergeAdd" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeAdd/en.md) + +The CLIPMergeAdd node combines two CLIP models by adding patches from the second model to the first model. It creates a copy of the first CLIP model and selectively incorporates key patches from the second model, excluding position IDs and logit scale parameters. This allows you to merge CLIP model components while preserving the structure of the base model. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip1` | CLIP | Yes | - | The base CLIP model that will be cloned and used as the foundation for merging | +| `clip2` | CLIP | Yes | - | The secondary CLIP model that provides key patches to be added to the base model | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CLIP` | CLIP | A merged CLIP model containing the base model structure with added patches from the secondary model | diff --git a/built-in-nodes/CLIPMergeSubtract.mdx b/built-in-nodes/CLIPMergeSubtract.mdx new file mode 100644 index 000000000..7a6f158d4 --- /dev/null +++ b/built-in-nodes/CLIPMergeSubtract.mdx @@ -0,0 +1,25 @@ +--- +title: "CLIPMergeSubtract - ComfyUI Built-in Node Documentation" +description: "The CLIPMergeSubtract node performs model merging by subtracting the weights of one CLIP model from another. It creates a new CLIP model by cloning the first model and then subtracting the key patc..." +sidebarTitle: "CLIPMergeSubtract" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSubtract/en.md) + +The CLIPMergeSubtract node performs model merging by subtracting the weights of one CLIP model from another. It creates a new CLIP model by cloning the first model and then subtracting the key patches from the second model, with an adjustable multiplier to control the subtraction strength. This allows for fine-tuned model blending by removing specific characteristics from the base model. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip1` | CLIP | Yes | - | The base CLIP model that will be cloned and modified | +| `clip2` | CLIP | Yes | - | The CLIP model whose key patches will be subtracted from the base model | +| `multiplier` | FLOAT | Yes | -10.0 to 10.0 | Controls the strength of the subtraction operation (default: 1.0) | + +**Note:** The node excludes `.position_ids` and `.logit_scale` parameters from the subtraction operation, regardless of the multiplier value. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `clip` | CLIP | The resulting CLIP model after subtracting the second model's weights from the first | diff --git a/built-in-nodes/CLIPSubtract.mdx b/built-in-nodes/CLIPSubtract.mdx new file mode 100644 index 000000000..57d30ac56 --- /dev/null +++ b/built-in-nodes/CLIPSubtract.mdx @@ -0,0 +1,23 @@ +--- +title: "CLIPSubtract - ComfyUI Built-in Node Documentation" +description: "The CLIPSubtract node performs a subtraction operation between two CLIP models. It takes the first CLIP model as a base and subtracts the key patches from the second CLIP model, with an optional mu..." +sidebarTitle: "CLIPSubtract" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSubtract/en.md) + +The CLIPSubtract node performs a subtraction operation between two CLIP models. It takes the first CLIP model as a base and subtracts the key patches from the second CLIP model, with an optional multiplier to control the subtraction strength. This allows for fine-tuned model blending by removing specific characteristics from one model using another. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `clip1` | CLIP | Required | - | - | The base CLIP model that will be modified | +| `clip2` | CLIP | Required | - | - | The CLIP model whose key patches will be subtracted from the base model | +| `multiplier` | FLOAT | Required | 1.0 | -10.0 to 10.0, step 0.01 | Controls the strength of the subtraction operation | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CLIP` | CLIP | The resulting CLIP model after the subtraction operation | diff --git a/built-in-nodes/CLIPTextEncodeControlnet.mdx b/built-in-nodes/CLIPTextEncodeControlnet.mdx new file mode 100644 index 000000000..81f137844 --- /dev/null +++ b/built-in-nodes/CLIPTextEncodeControlnet.mdx @@ -0,0 +1,25 @@ +--- +title: "CLIPTextEncodeControlnet - ComfyUI Built-in Node Documentation" +description: "The CLIPTextEncodeControlnet node processes text input using a CLIP model and combines it with existing conditioning data to create enhanced conditioning output for controlnet applications. It toke..." +sidebarTitle: "CLIPTextEncodeControlnet" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/en.md) + +The CLIPTextEncodeControlnet node processes text input using a CLIP model and combines it with existing conditioning data to create enhanced conditioning output for controlnet applications. It tokenizes the input text, encodes it through the CLIP model, and adds the resulting embeddings to the provided conditioning data as cross-attention controlnet parameters. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `clip` | CLIP | Required | - | - | The CLIP model used for text tokenization and encoding | +| `conditioning` | CONDITIONING | Required | - | - | Existing conditioning data to be enhanced with controlnet parameters | +| `text` | STRING | Multiline, Dynamic Prompts | - | - | Text input to be processed by the CLIP model | + +**Note:** This node requires both `clip` and `conditioning` inputs to function properly. The `text` input supports dynamic prompts and multiline text for flexible text processing. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | Enhanced conditioning data with added controlnet cross-attention parameters | diff --git a/built-in-nodes/CLIPTextEncodeHiDream.mdx b/built-in-nodes/CLIPTextEncodeHiDream.mdx new file mode 100644 index 000000000..04f5e5b0a --- /dev/null +++ b/built-in-nodes/CLIPTextEncodeHiDream.mdx @@ -0,0 +1,27 @@ +--- +title: "CLIPTextEncodeHiDream - ComfyUI Built-in Node Documentation" +description: "The CLIPTextEncodeHiDream node processes multiple text inputs using different language models and combines them into a single conditioning output. It tokenizes text from four different sources (CLI..." +sidebarTitle: "CLIPTextEncodeHiDream" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/en.md) + +The CLIPTextEncodeHiDream node processes multiple text inputs using different language models and combines them into a single conditioning output. It tokenizes text from four different sources (CLIP-L, CLIP-G, T5-XXL, and LLaMA) and encodes them using a scheduled encoding approach. This allows for more sophisticated text conditioning by leveraging multiple language models simultaneously. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `clip` | CLIP | Required Input | - | - | The CLIP model used for tokenization and encoding | +| `clip_l` | STRING | Multiline Text | - | - | Text input for CLIP-L model processing | +| `clip_g` | STRING | Multiline Text | - | - | Text input for CLIP-G model processing | +| `t5xxl` | STRING | Multiline Text | - | - | Text input for T5-XXL model processing | +| `llama` | STRING | Multiline Text | - | - | Text input for LLaMA model processing | + +**Note:** All text inputs support dynamic prompts and multiline text entry. The node requires all four text parameters to be provided for proper functioning, as each contributes to the final conditioning output through the scheduled encoding process. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The combined conditioning output from all processed text inputs | diff --git a/built-in-nodes/CLIPTextEncodeKandinsky5.mdx b/built-in-nodes/CLIPTextEncodeKandinsky5.mdx new file mode 100644 index 000000000..f91617dca --- /dev/null +++ b/built-in-nodes/CLIPTextEncodeKandinsky5.mdx @@ -0,0 +1,23 @@ +--- +title: "CLIPTextEncodeKandinsky5 - ComfyUI Built-in Node Documentation" +description: "The CLIPTextEncodeKandinsky5 node prepares text prompts for use with the Kandinsky 5 model. It takes two separate text inputs, tokenizes them using a provided CLIP model, and combines them into a s..." +sidebarTitle: "CLIPTextEncodeKandinsky5" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/en.md) + +The CLIPTextEncodeKandinsky5 node prepares text prompts for use with the Kandinsky 5 model. It takes two separate text inputs, tokenizes them using a provided CLIP model, and combines them into a single conditioning output. This output is used to guide the image generation process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | | The CLIP model used to tokenize and encode the text prompts. | +| `clip_l` | STRING | Yes | | The primary text prompt. This input supports multiline text and dynamic prompts. | +| `qwen25_7b` | STRING | Yes | | A secondary text prompt. This input supports multiline text and dynamic prompts. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The combined conditioning data generated from both text prompts, ready to be fed into a Kandinsky 5 model for image generation. | diff --git a/built-in-nodes/CLIPTextEncodeLumina2.mdx b/built-in-nodes/CLIPTextEncodeLumina2.mdx new file mode 100644 index 000000000..29e8e2b90 --- /dev/null +++ b/built-in-nodes/CLIPTextEncodeLumina2.mdx @@ -0,0 +1,25 @@ +--- +title: "CLIPTextEncodeLumina2 - ComfyUI Built-in Node Documentation" +description: "The CLIP Text Encode for Lumina2 node encodes a system prompt and a user prompt using a CLIP model into an embedding that can guide the diffusion model to generate specific images. It combines a pr..." +sidebarTitle: "CLIPTextEncodeLumina2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/en.md) + +The CLIP Text Encode for Lumina2 node encodes a system prompt and a user prompt using a CLIP model into an embedding that can guide the diffusion model to generate specific images. It combines a pre-defined system prompt with your custom text prompt and processes them through the CLIP model to create conditioning data for image generation. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `system_prompt` | STRING | COMBO | - | "superior", "alignment" | Lumina2 provide two types of system prompts: Superior: You are an assistant designed to generate superior images with the superior degree of image-text alignment based on textual prompts or user prompts. Alignment: You are an assistant designed to generate high-quality images with the highest degree of image-text alignment based on textual prompts. | +| `user_prompt` | STRING | STRING | - | - | The text to be encoded. | +| `clip` | CLIP | CLIP | - | - | The CLIP model used for encoding the text. | + +**Note:** The `clip` input is required and cannot be None. If the clip input is invalid, the node will raise an error indicating that the checkpoint may not contain a valid CLIP or text encoder model. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | A conditioning containing the embedded text used to guide the diffusion model. | diff --git a/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx b/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx new file mode 100644 index 000000000..0ad716822 --- /dev/null +++ b/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx @@ -0,0 +1,24 @@ +--- +title: "CLIPTextEncodePixArtAlpha - ComfyUI Built-in Node Documentation" +description: "Encodes text and sets the resolution conditioning for PixArt Alpha. This node processes text input and adds width and height information to create conditioning data specifically for PixArt Alpha mo..." +sidebarTitle: "CLIPTextEncodePixArtAlpha" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/en.md) + +Encodes text and sets the resolution conditioning for PixArt Alpha. This node processes text input and adds width and height information to create conditioning data specifically for PixArt Alpha models. It does not apply to PixArt Sigma models. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `width` | INT | Input | 1024 | 0 to MAX_RESOLUTION | The width dimension for resolution conditioning | +| `height` | INT | Input | 1024 | 0 to MAX_RESOLUTION | The height dimension for resolution conditioning | +| `text` | STRING | Input | - | - | Text input to be encoded, supports multiline input and dynamic prompts | +| `clip` | CLIP | Input | - | - | CLIP model used for tokenization and encoding | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | Encoded conditioning data with text tokens and resolution information | diff --git a/built-in-nodes/CLIPTextEncodeSD3.mdx b/built-in-nodes/CLIPTextEncodeSD3.mdx new file mode 100644 index 000000000..5baa97f9f --- /dev/null +++ b/built-in-nodes/CLIPTextEncodeSD3.mdx @@ -0,0 +1,31 @@ +--- +title: "CLIPTextEncodeSD3 - ComfyUI Built-in Node Documentation" +description: "The CLIPTextEncodeSD3 node processes text inputs for Stable Diffusion 3 models by encoding multiple text prompts using different CLIP models. It handles three separate text inputs (clip_g, clip_l, ..." +sidebarTitle: "CLIPTextEncodeSD3" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/en.md) + +The CLIPTextEncodeSD3 node processes text inputs for Stable Diffusion 3 models by encoding multiple text prompts using different CLIP models. It handles three separate text inputs (clip_g, clip_l, and t5xxl) and provides options for managing empty text padding. The node ensures proper token alignment between different text inputs and returns conditioning data suitable for SD3 generation pipelines. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `clip` | CLIP | Required | - | - | The CLIP model used for text encoding | +| `clip_l` | STRING | Multiline, Dynamic Prompts | - | - | Text input for the local CLIP model | +| `clip_g` | STRING | Multiline, Dynamic Prompts | - | - | Text input for the global CLIP model | +| `t5xxl` | STRING | Multiline, Dynamic Prompts | - | - | Text input for the T5-XXL model | +| `empty_padding` | COMBO | Selection | - | ["none", "empty_prompt"] | Controls how empty text inputs are handled | + +**Parameter Constraints:** + +- When `empty_padding` is set to "none", empty text inputs for `clip_g`, `clip_l`, or `t5xxl` will result in empty token lists instead of padding +- The node automatically balances token lengths between `clip_l` and `clip_g` inputs by padding the shorter one with empty tokens when lengths differ +- All text inputs support dynamic prompts and multiline text entry + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The encoded text conditioning data ready for use in SD3 generation pipelines | diff --git a/built-in-nodes/Canny.mdx b/built-in-nodes/Canny.mdx index 86153878d..e0b29b2b9 100755 --- a/built-in-nodes/Canny.mdx +++ b/built-in-nodes/Canny.mdx @@ -1,10 +1,9 @@ --- title: "Canny - ComfyUI Built-in Node Documentation" -description: "The Canny node used to extract edge lines from photos." +description: "Extract all edge lines from photos, like using a pen to outline a photo, drawing out the contours and detail boundaries of objects." sidebarTitle: "Canny" icon: "circle" --- - Extract all edge lines from photos, like using a pen to outline a photo, drawing out the contours and detail boundaries of objects. ## Working Principle @@ -35,9 +34,9 @@ The final output is a black and white image, where white parts are detected edge ## Parameter Comparison -![Original Image](/images/built-in-nodes/canny/input.webp) +![Original Image](/images/built-in-nodes/Canny/input.webp) -![Parameter Comparison](/images/built-in-nodes/canny/compare.webp) +![Parameter Comparison](/images/built-in-nodes/Canny/compare.webp) **Common Issues:** diff --git a/built-in-nodes/CaseConverter.mdx b/built-in-nodes/CaseConverter.mdx new file mode 100644 index 000000000..dff75efb6 --- /dev/null +++ b/built-in-nodes/CaseConverter.mdx @@ -0,0 +1,22 @@ +--- +title: "CaseConverter - ComfyUI Built-in Node Documentation" +description: "The Case Converter node transforms text strings into different letter case formats. It takes an input string and converts it based on the selected mode, producing an output string with the specifie..." +sidebarTitle: "CaseConverter" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CaseConverter/en.md) + +The Case Converter node transforms text strings into different letter case formats. It takes an input string and converts it based on the selected mode, producing an output string with the specified case formatting applied. The node supports four different case conversion options to modify the capitalization of your text. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `string` | STRING | String | - | - | The text string to be converted to a different case format | +| `mode` | STRING | Combo | - | ["UPPERCASE", "lowercase", "Capitalize", "Title Case"] | The case conversion mode to apply: UPPERCASE converts all letters to uppercase, lowercase converts all letters to lowercase, Capitalize capitalizes only the first letter, Title Case capitalizes the first letter of each word | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The input string converted to the specified case format | diff --git a/built-in-nodes/CenterCropImages.mdx b/built-in-nodes/CenterCropImages.mdx new file mode 100644 index 000000000..83d10fc7e --- /dev/null +++ b/built-in-nodes/CenterCropImages.mdx @@ -0,0 +1,23 @@ +--- +title: "CenterCropImages - ComfyUI Built-in Node Documentation" +description: "The Center Crop Images node crops an image from its center to a specified width and height. It calculates the central region of the input image and extracts a rectangular area of the defined dimens..." +sidebarTitle: "CenterCropImages" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CenterCropImages/en.md) + +The Center Crop Images node crops an image from its center to a specified width and height. It calculates the central region of the input image and extracts a rectangular area of the defined dimensions. If the requested crop size is larger than the image, the crop will be constrained to the image's boundaries. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be cropped. | +| `width` | INT | No | 1 to 8192 | The width of the crop area (default: 512). | +| `height` | INT | No | 1 to 8192 | The height of the crop area (default: 512). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The resulting image after the center crop operation. | diff --git a/built-in-nodes/CheckpointLoader.mdx b/built-in-nodes/CheckpointLoader.mdx new file mode 100644 index 000000000..a96c91c10 --- /dev/null +++ b/built-in-nodes/CheckpointLoader.mdx @@ -0,0 +1,28 @@ +--- +title: "CheckpointLoader - ComfyUI Built-in Node Documentation" +description: "The CheckpointLoader node loads a pre-trained model checkpoint along with its configuration file. It takes a configuration file and a checkpoint file as inputs and returns the loaded model componen..." +sidebarTitle: "CheckpointLoader" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoader/en.md) + +The CheckpointLoader node loads a pre-trained model checkpoint along with its configuration file. It takes a configuration file and a checkpoint file as inputs and returns the loaded model components including the main model, CLIP model, and VAE model for use in the workflow. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `config_name` | STRING | COMBO | - | Available config files | The configuration file that defines the model architecture and settings | +| `ckpt_name` | STRING | COMBO | - | Available checkpoint files | The checkpoint file containing the trained model weights and parameters | + +**Note:** This node requires both a configuration file and a checkpoint file to be selected. The configuration file must match the architecture of the checkpoint file being loaded. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MODEL` | MODEL | The loaded main model component ready for inference | +| `CLIP` | CLIP | The loaded CLIP model component for text encoding | +| `VAE` | VAE | The loaded VAE model component for image encoding and decoding | + +**Important Note:** This node has been marked as deprecated and may be removed in future versions. Consider using alternative loading nodes for new workflows. diff --git a/built-in-nodes/CheckpointLoaderSimple.mdx b/built-in-nodes/CheckpointLoaderSimple.mdx index 68f7d6cd2..5075a58af 100755 --- a/built-in-nodes/CheckpointLoaderSimple.mdx +++ b/built-in-nodes/CheckpointLoaderSimple.mdx @@ -1,10 +1,9 @@ --- title: "CheckpointLoaderSimple - ComfyUI Built-in Node Documentation" -description: "The CheckpointLoaderSimple node is used to load model files from specified locations and decompose them into three core components: the main model, text encoder, and image encoder/decoder." +description: "This is a model loader node that loads model files from specified locations and decomposes them into three core components: the main model, text encoder, and image encoder/decoder." sidebarTitle: "CheckpointLoaderSimple" icon: "circle" --- - This is a model loader node that loads model files from specified locations and decomposes them into three core components: the main model, text encoder, and image encoder/decoder. This node automatically detects all model files in the `ComfyUI/models/checkpoints` folder, as well as additional paths configured in your `extra_model_paths.yaml` file. diff --git a/built-in-nodes/CheckpointSave.mdx b/built-in-nodes/CheckpointSave.mdx index 2d4c292fc..c368dfe66 100755 --- a/built-in-nodes/CheckpointSave.mdx +++ b/built-in-nodes/CheckpointSave.mdx @@ -1,10 +1,9 @@ --- title: "CheckpointSave - ComfyUI Built-in Node Documentation" -description: "The CheckpointSave node is used to save the complete Stable Diffusion model (including UNet, CLIP, and VAE components) as a **.safetensors** format checkpoint file." +description: "The `Save Checkpoint` node is designed to save a complete Stable Diffusion model (including UNet, CLIP, and VAE components) as a **.safetensors** format checkpoint file." sidebarTitle: "CheckpointSave" icon: "circle" --- - The `Save Checkpoint` node is designed to save a complete Stable Diffusion model (including UNet, CLIP, and VAE components) as a **.safetensors** format checkpoint file. The Save Checkpoint is primarily used in model merging workflows. After creating a new merged model through nodes like `ModelMergeSimple`, `ModelMergeBlocks`, etc., you can use this node to save the result as a reusable checkpoint file. diff --git a/built-in-nodes/ChromaRadianceOptions.mdx b/built-in-nodes/ChromaRadianceOptions.mdx new file mode 100644 index 000000000..3818b629a --- /dev/null +++ b/built-in-nodes/ChromaRadianceOptions.mdx @@ -0,0 +1,27 @@ +--- +title: "ChromaRadianceOptions - ComfyUI Built-in Node Documentation" +description: "The ChromaRadianceOptions node allows you to configure advanced settings for the Chroma Radiance model. It wraps an existing model and applies specific options during the denoising process based on..." +sidebarTitle: "ChromaRadianceOptions" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md) + +The ChromaRadianceOptions node allows you to configure advanced settings for the Chroma Radiance model. It wraps an existing model and applies specific options during the denoising process based on sigma values, enabling fine-tuned control over NeRF tile size and other radiance-related parameters. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `model` | MODEL | Required | - | - | The model to apply Chroma Radiance options to | +| `preserve_wrapper` | BOOLEAN | Optional | True | - | When enabled, will delegate to an existing model function wrapper if it exists. Generally should be left enabled. | +| `start_sigma` | FLOAT | Optional | 1.0 | 0.0 - 1.0 | First sigma that these options will be in effect. | +| `end_sigma` | FLOAT | Optional | 0.0 | 0.0 - 1.0 | Last sigma that these options will be in effect. | +| `nerf_tile_size` | INT | Optional | -1 | -1 and above | Allows overriding the default NeRF tile size. -1 means use the default (32). 0 means use non-tiling mode (may require a lot of VRAM). | + +**Note:** The Chroma Radiance options only take effect when the current sigma value falls between `end_sigma` and `start_sigma` (inclusive). The `nerf_tile_size` parameter is only applied when set to 0 or higher values. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with Chroma Radiance options applied | diff --git a/built-in-nodes/ClipLoader.mdx b/built-in-nodes/ClipLoader.mdx index 3206d29fb..5344e832a 100755 --- a/built-in-nodes/ClipLoader.mdx +++ b/built-in-nodes/ClipLoader.mdx @@ -1,10 +1,9 @@ --- -title: "ClipLoader - ComfyUI Built-in Node Documentation" -description: "The ClipLoader node is used to load CLIP text encoder models independently." -sidebarTitle: "ClipLoader" +title: "CLIPLoader - ComfyUI Built-in Node Documentation" +description: "This node is primarily used for loading CLIP text encoder models independently. The model files can be detected in the following paths:" +sidebarTitle: "CLIPLoader" icon: "circle" --- - This node is primarily used for loading CLIP text encoder models independently. The model files can be detected in the following paths: diff --git a/built-in-nodes/ClipMergeSimple.mdx b/built-in-nodes/ClipMergeSimple.mdx index c97e4d0af..9d263f0ad 100755 --- a/built-in-nodes/ClipMergeSimple.mdx +++ b/built-in-nodes/ClipMergeSimple.mdx @@ -1,10 +1,9 @@ --- -title: "ClipMergeSimple - ComfyUI Built-in Node Documentation" -description: "The ClipMergeSimple node is used to combine two CLIP text encoder models based on a specified ratio." -sidebarTitle: "ClipMergeSimple" +title: "CLIPMergeSimple - ComfyUI Built-in Node Documentation" +description: "`CLIPMergeSimple` is an advanced model merging node used to combine two CLIP text encoder models based on a specified ratio." +sidebarTitle: "CLIPMergeSimple" icon: "circle" --- - `CLIPMergeSimple` is an advanced model merging node used to combine two CLIP text encoder models based on a specified ratio. This node specializes in merging two CLIP models based on a specified ratio, effectively blending their characteristics. It selectively applies patches from one model to another, excluding specific components like position IDs and logit scale, to create a hybrid model that combines features from both source models. diff --git a/built-in-nodes/ClipSave.mdx b/built-in-nodes/ClipSave.mdx index d4c6a0a15..671597bd0 100755 --- a/built-in-nodes/ClipSave.mdx +++ b/built-in-nodes/ClipSave.mdx @@ -1,10 +1,9 @@ --- -title: "ClipSave - ComfyUI Built-in Node Documentation" -description: "The ClipSave node is used to save CLIP text encoder models in SafeTensors format." -sidebarTitle: "ClipSave" +title: "CLIPSave - ComfyUI Built-in Node Documentation" +description: "The `CLIPSave` node is designed for saving CLIP text encoder models in SafeTensors format. This node is part of advanced model merging workflows and is typically used in conjunction with nodes like..." +sidebarTitle: "CLIPSave" icon: "circle" --- - The `CLIPSave` node is designed for saving CLIP text encoder models in SafeTensors format. This node is part of advanced model merging workflows and is typically used in conjunction with nodes like `CLIPMergeSimple` and `CLIPMergeAdd`. The saved files use the SafeTensors format to ensure security and compatibility. ## Inputs diff --git a/built-in-nodes/ClipSetLastLayer.mdx b/built-in-nodes/ClipSetLastLayer.mdx index c12947a59..42876cd53 100755 --- a/built-in-nodes/ClipSetLastLayer.mdx +++ b/built-in-nodes/ClipSetLastLayer.mdx @@ -1,10 +1,9 @@ --- -title: "ClipSetLastLayer - ComfyUI Built-in Node Documentation" -description: "The ClipSetLastLayer node is used to control the processing depth of CLIP models." -sidebarTitle: "ClipSetLastLayer" +title: "CLIPSetLastLayer - ComfyUI Built-in Node Documentation" +description: "`CLIP Set Last Layer` is a core node in ComfyUI for controlling the processing depth of CLIP models. It allows users to precisely control where the CLIP text encoder stops processing, affecting bot..." +sidebarTitle: "CLIPSetLastLayer" icon: "circle" --- - `CLIP Set Last Layer` is a core node in ComfyUI for controlling the processing depth of CLIP models. It allows users to precisely control where the CLIP text encoder stops processing, affecting both the depth of text understanding and the style of generated images. Imagine the CLIP model as a 24-layer intelligent brain: diff --git a/built-in-nodes/ClipTextEncode.mdx b/built-in-nodes/ClipTextEncode.mdx index 1b3e3e926..df82e82e3 100755 --- a/built-in-nodes/ClipTextEncode.mdx +++ b/built-in-nodes/ClipTextEncode.mdx @@ -1,54 +1,71 @@ --- -title: "ClipTextEncode - ComfyUI Built-in Node Documentation" -description: "The ClipTextEncode node is used to convert text prompts into AI-understandable 'language' for image generation." -sidebarTitle: "ClipTextEncode" +title: "CLIPTextEncode - ComfyUI Built-in Node Documentation" +description: "`CLIP Text Encode (CLIPTextEncode)` acts as a translator, converting your text descriptions into a format that AI can understand. This helps the AI interpret your input and generate the desired image." +sidebarTitle: "CLIPTextEncode" icon: "circle" --- +`CLIP Text Encode (CLIPTextEncode)` acts as a translator, converting your text descriptions into a format that AI can understand. This helps the AI interpret your input and generate the desired image. -`CLIP Text Encode (CLIPTextEncode)` acts like a translator, converting your creative text prompts into a special "language" that AI can understand, helping the AI accurately interpret what kind of image you want to create. - -Imagine communicating with a foreign artist - you need a translator to help accurately convey the artwork you want. This node acts as that translator, using the CLIP model (an AI model trained on vast amounts of image-text pairs) to understand your text descriptions and convert them into "instructions" that the AI art model can understand. +Think of it as communicating with an artist who speaks a different language. The CLIP model, trained on vast image-text pairs, bridges this gap by converting your descriptions into "instructions" that the AI model can follow. ## Inputs | Parameter | Data Type | Input Method | Default | Range | Description | |-----------|-----------|--------------|---------|--------|-------------| -| text | STRING | Text Input | Empty | Any text | Like detailed instructions to an artist, enter your image description here. Supports multi-line text for detailed descriptions. | -| clip | CLIP | Model Selection | None | Loaded CLIP models | Like choosing a specific translator, different CLIP models are like different translators with slightly different understandings of artistic styles. | +| text | STRING | Text Input | Empty | Any text | Enter the description (prompt) for the image you want to create. Supports multi-line input for detailed descriptions. | +| clip | CLIP | Model Selection | None | Loaded CLIP models | Select the CLIP model to use when translating your description into instructions for the AI model. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| CONDITIONING | CONDITIONING | These are the translated "painting instructions" containing detailed creative guidance that the AI model can understand. These instructions tell the AI model how to create an image matching your description. | - -## Usage Tips - -1. **Basic Text Prompt Usage** - - Write detailed descriptions like you're writing a short essay - - More specific descriptions lead to more accurate results - - Use English commas to separate different descriptive elements - -2. **Special Feature: Using Embedding Models** - - Embedding models are like preset art style packages that can quickly apply specific artistic effects - - Currently supports .safetensors, .pt, and .bin file formats, and you don't necessarily need to use the complete model name - - How to use: - 1. Place the embedding model file (in .pt format) in the `ComfyUI/models/embeddings` folder - 2. Use `embedding:model_name` in your text - Example: If you have a model called `EasyNegative.pt`, you can use it like this: - - ``` - a beautiful landscape, embedding:EasyNegative, high quality - ``` - -3. **Prompt Weight Adjustment** - - Use parentheses to adjust the importance of certain descriptions - - For example: `(beautiful:1.2)` will make the "beautiful" feature more prominent - - Regular parentheses `()` have a default weight of 1.1 - - Use keyboard shortcuts `ctrl + up/down arrow` to quickly adjust weights - - The weight adjustment step size can be modified in settings - -4. **Important Notes** - - Ensure the CLIP model is properly loaded - - Use positive and clear text descriptions - - When using embedding models, make sure the file name is correct and compatible with your current main model's architecture +| CONDITIONING | CONDITIONING | The processed "instructions" of your description that guide the AI model when generating an image. | + +## Prompt Features + +### Embedding Models + +Embedding models allow you to apply specific artistic effects or styles. Supported formats include `.safetensors`, `.pt`, and `.bin`. To use an embedding model: + +1. Place the file in the `ComfyUI/models/embeddings` folder. +2. Reference it in your text using `embedding:model_name`. + +Example: If you have a model named `EasyNegative.pt` in your `ComfyUI/models/embeddings` folder, then you can use it like this: + +``` +worst quality, embedding:EasyNegative, bad quality +``` + +**IMPORTANT**: When using embedding models, verify that the file name matches and is compatible with your model's architecture. For example an embedding designed for SD1.5 will not work correctly for a SDXL model. + +### Prompt Weight Adjustment + +You can adjust the importance of certain parts of your description using parentheses. For example: + +- `(beautiful:1.2)` increases the weight of "beautiful". +- `(beautiful:0.8)` decrease the weight of "beautiful". +- Plain parentheses `(beautiful)` will apply a default weight of 1.1. + +You can use the keyboard shortcuts `ctrl + up/down arrow` to quickly adjust weights. The weight adjustment step size can be modified in the settings. + +If you want to include literal parentheses in your prompt without changing the weight, you can escape them using a backslash e.g. `\(word\)`. + +### Wildcard/Dynamic Prompts + +Use `{}` to create dynamic prompts. For example, `{day|night|morning}` will randomly select one option each time the prompt is processed. + +If you want to include literal curly braces in your prompt without triggering dynamic behavior, you can escape them using a backslash e.g. `\{word\}`. + +### Comments in Prompts + +You can add comments that are excluded from the prompt by using: + +- `//` to comment out a single line. +- `/* */` to comment out a section or multiple lines. + +Example: + +``` +// this line is excluded from the prompt. +a beautiful landscape, /* this part is ignored */ high quality +``` diff --git a/built-in-nodes/ClipTextEncodeFlux.mdx b/built-in-nodes/ClipTextEncodeFlux.mdx index 31ef456d9..cb19e5af3 100644 --- a/built-in-nodes/ClipTextEncodeFlux.mdx +++ b/built-in-nodes/ClipTextEncodeFlux.mdx @@ -1,13 +1,13 @@ --- -title: "ClipTextEncodeFlux - ComfyUI Built-in Node Documentation" -description: "The ClipTextEncodeFlux node is used to encode text prompts into Flux-compatible conditioning embeddings." -sidebarTitle: "ClipTextEncodeFlux" +title: "CLIPTextEncodeFlux - ComfyUI Built-in Node Documentation" +description: "`CLIPTextEncodeFlux` is an advanced text encoding node in ComfyUI, specifically designed for the Flux architecture. It uses a dual-encoder mechanism (CLIP-L and T5XXL) to process both structured ke..." +sidebarTitle: "CLIPTextEncodeFlux" icon: "circle" --- - `CLIPTextEncodeFlux` is an advanced text encoding node in ComfyUI, specifically designed for the Flux architecture. It uses a dual-encoder mechanism (CLIP-L and T5XXL) to process both structured keywords and detailed natural language descriptions, providing the Flux model with more accurate and comprehensive text understanding for improved text-to-image generation quality. This node is based on a dual-encoder collaboration mechanism: + 1. The `clip_l` input is processed by the CLIP-L encoder, extracting style, theme, and other keyword features—ideal for concise descriptions. 2. The `t5xxl` input is processed by the T5XXL encoder, which excels at understanding complex and detailed natural language scene descriptions. 3. The outputs from both encoders are fused, and combined with the `guidance` parameter to generate unified conditioning embeddings (`CONDITIONING`) for downstream Flux sampler nodes, controlling how closely the generated content matches the text description. diff --git a/built-in-nodes/ClipTextEncodeHunyuanDit.mdx b/built-in-nodes/ClipTextEncodeHunyuanDit.mdx index a46b0b0d3..9e0304ace 100644 --- a/built-in-nodes/ClipTextEncodeHunyuanDit.mdx +++ b/built-in-nodes/ClipTextEncodeHunyuanDit.mdx @@ -1,10 +1,9 @@ --- -title: "ClipTextEncodeHunyuanDit - ComfyUI Built-in Node Documentation" -description: "The ClipTextEncodeHunyuanDit node is used to encode text prompts into HunyuanDiT-compatible conditioning embeddings." -sidebarTitle: "ClipTextEncodeHunyuanDit" +title: "CLIPTextEncodeHunyuanDiT - ComfyUI Built-in Node Documentation" +description: "The `CLIPTextEncodeHunyuanDiT` node's main function is to convert input text into a form that the model can understand. It is an advanced conditioning node specifically designed for the dual text e..." +sidebarTitle: "CLIPTextEncodeHunyuanDiT" icon: "circle" --- - The `CLIPTextEncodeHunyuanDiT` node's main function is to convert input text into a form that the model can understand. It is an advanced conditioning node specifically designed for the dual text encoder architecture of the HunyuanDiT model. Its primary role is like a translator, converting our text descriptions into "machine language" that the AI model can understand. The `bert` and `mt5xl` inputs prefer different types of prompt inputs. diff --git a/built-in-nodes/ClipTextEncodeSdxl.mdx b/built-in-nodes/ClipTextEncodeSdxl.mdx index c9c773ee2..3c8fcd781 100755 --- a/built-in-nodes/ClipTextEncodeSdxl.mdx +++ b/built-in-nodes/ClipTextEncodeSdxl.mdx @@ -1,10 +1,9 @@ --- -title: "ClipTextEncodeSdxl - ComfyUI Built-in Node Documentation" -description: "The ClipTextEncodeSdxl node is used to encode text prompts into SDXL-compatible conditioning embeddings." -sidebarTitle: "ClipTextEncodeSdxl" +title: "CLIPTextEncodeSDXL - ComfyUI Built-in Node Documentation" +description: "This node is designed to encode text input using a CLIP model specifically customized for the SDXL architecture. It uses a dual encoder system (CLIP-L and CLIP-G) to process text descriptions, resu..." +sidebarTitle: "CLIPTextEncodeSDXL" icon: "circle" --- - This node is designed to encode text input using a CLIP model specifically customized for the SDXL architecture. It uses a dual encoder system (CLIP-L and CLIP-G) to process text descriptions, resulting in more accurate image generation. ## Inputs diff --git a/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx b/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx index 71da2a005..147800d74 100755 --- a/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx +++ b/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx @@ -1,10 +1,9 @@ --- -title: "ClipTextEncodeSdxlRefiner - ComfyUI Built-in Node Documentation" -description: "The ClipTextEncodeSdxlRefiner node is used to encode text prompts into SDXL Refiner-compatible conditioning embeddings." -sidebarTitle: "ClipTextEncodeSdxlRefiner" +title: "CLIPTextEncodeSDXLRefiner - ComfyUI Built-in Node Documentation" +description: "This node is specifically designed for the SDXL Refiner model to convert text prompts into conditioning information by incorporating aesthetic scores and dimensional information to enhance the cond..." +sidebarTitle: "CLIPTextEncodeSDXLRefiner" icon: "circle" --- - This node is specifically designed for the SDXL Refiner model to convert text prompts into conditioning information by incorporating aesthetic scores and dimensional information to enhance the conditions for generation tasks, thereby improving the final refinement effect. It acts like a professional art director, not only conveying your creative intent but also injecting precise aesthetic standards and specification requirements into the work. ## About SDXL Refiner @@ -16,6 +15,7 @@ SDXL Refiner is a specialized refinement model that focuses on enhancing image d 3. Finally, it focuses on processing high-frequency image details to improve overall quality Refiner can be used in two ways: + - As a standalone refinement step for post-processing images generated by the base model - As part of an expert integration system, taking over processing during the low-noise phase of generation diff --git a/built-in-nodes/ClipVisionEncode.mdx b/built-in-nodes/ClipVisionEncode.mdx index a8ed957a8..c769a7a41 100755 --- a/built-in-nodes/ClipVisionEncode.mdx +++ b/built-in-nodes/ClipVisionEncode.mdx @@ -1,10 +1,9 @@ --- -title: "ClipVisionEncode - ComfyUI Built-in Node Documentation" -description: "The ClipVisionEncode node is used to encode input images into visual feature vectors through the CLIP Vision model." -sidebarTitle: "ClipVisionEncode" +title: "CLIPVisionEncode - ComfyUI Built-in Node Documentation" +description: "The `CLIP Vision Encode` node is an image encoding node in ComfyUI, used to convert input images into visual feature vectors through the CLIP Vision model. This node is an important bridge connecti..." +sidebarTitle: "CLIPVisionEncode" icon: "circle" --- - The `CLIP Vision Encode` node is an image encoding node in ComfyUI, used to convert input images into visual feature vectors through the CLIP Vision model. This node is an important bridge connecting image and text understanding, and is widely used in various AI image generation and processing workflows. **Node Functionality** @@ -28,6 +27,7 @@ The `CLIP Vision Encode` node is an image encoding node in ComfyUI, used to conv | CLIP_VISION_OUTPUT | CLIP_VISION_OUTPUT | Encoded visual features | This output object contains: + - `last_hidden_state`: The last hidden state - `image_embeds`: Image embedding vector - `penultimate_hidden_states`: The penultimate hidden state diff --git a/built-in-nodes/ClipVisionLoader.mdx b/built-in-nodes/ClipVisionLoader.mdx index a299ed6b4..7e65c84db 100755 --- a/built-in-nodes/ClipVisionLoader.mdx +++ b/built-in-nodes/ClipVisionLoader.mdx @@ -1,10 +1,9 @@ --- -title: "Load CLIP Vision - ComfyUI Built-in Node Documentation" -description: "The Load CLIP Vision node is used to load CLIP Vision models from the `ComfyUI/models/clip_vision` folder." -sidebarTitle: "Load CLIP Vision" +title: "CLIPVisionLoader - ComfyUI Built-in Node Documentation" +description: "This node automatically detects models located in the `ComfyUI/models/clip_vision` folder, as well as any additional model paths configured in the `extra_model_paths.yaml` file. If you add models a..." +sidebarTitle: "CLIPVisionLoader" icon: "circle" --- - This node automatically detects models located in the `ComfyUI/models/clip_vision` folder, as well as any additional model paths configured in the `extra_model_paths.yaml` file. If you add models after starting ComfyUI, please **refresh the ComfyUI interface** to ensure the latest model files are listed. ## Inputs diff --git a/built-in-nodes/ColorToRGBInt.mdx b/built-in-nodes/ColorToRGBInt.mdx new file mode 100644 index 000000000..85ced083c --- /dev/null +++ b/built-in-nodes/ColorToRGBInt.mdx @@ -0,0 +1,23 @@ +--- +title: "ColorToRGBInt - ComfyUI Built-in Node Documentation" +description: "The ColorToRGBInt node converts a color specified in a hexadecimal format into a single integer value. It takes a color string like `#FF5733` and calculates the corresponding RGB integer by combini..." +sidebarTitle: "ColorToRGBInt" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/en.md) + +The ColorToRGBInt node converts a color specified in a hexadecimal format into a single integer value. It takes a color string like `#FF5733` and calculates the corresponding RGB integer by combining the red, green, and blue components. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `color` | STRING | Yes | N/A | A color value in the hexadecimal format `#RRGGBB`. | + +**Note:** The input `color` string must be exactly 7 characters long and start with a `#` symbol, followed by six hexadecimal digits (e.g., `#FF0000` for red). The node will raise an error if the format is incorrect. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `rgb_int` | INT | The calculated RGB integer value. This is derived from the formula: `(Red * 65536) + (Green * 256) + Blue`. | diff --git a/built-in-nodes/CombineHooks.mdx b/built-in-nodes/CombineHooks.mdx new file mode 100644 index 000000000..564fd2f81 --- /dev/null +++ b/built-in-nodes/CombineHooks.mdx @@ -0,0 +1,24 @@ +--- +title: "CombineHooks - ComfyUI Built-in Node Documentation" +description: "The Combine Hooks [2] node merges two hook groups into a single combined hook group. It takes two optional hook inputs and combines them using ComfyUI's hook combination functionality. This allows ..." +sidebarTitle: "CombineHooks" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooks/en.md) + +The Combine Hooks [2] node merges two hook groups into a single combined hook group. It takes two optional hook inputs and combines them using ComfyUI's hook combination functionality. This allows you to consolidate multiple hook configurations for streamlined processing. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `hooks_A` | HOOKS | Optional | None | - | First hook group to combine | +| `hooks_B` | HOOKS | Optional | None | - | Second hook group to combine | + +**Note:** Both inputs are optional, but at least one hook group must be provided for the node to function. If only one hook group is provided, it will be returned unchanged. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `hooks` | HOOKS | Combined hook group containing all hooks from both input groups | diff --git a/built-in-nodes/CombineHooksEight.mdx b/built-in-nodes/CombineHooksEight.mdx new file mode 100644 index 000000000..3e8ac79c7 --- /dev/null +++ b/built-in-nodes/CombineHooksEight.mdx @@ -0,0 +1,30 @@ +--- +title: "CombineHooksEight - ComfyUI Built-in Node Documentation" +description: "The Combine Hooks [8] node merges up to eight different hook groups into a single combined hook group. It takes multiple hook inputs and combines them using ComfyUI's hook combination functionality..." +sidebarTitle: "CombineHooksEight" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksEight/en.md) + +The Combine Hooks [8] node merges up to eight different hook groups into a single combined hook group. It takes multiple hook inputs and combines them using ComfyUI's hook combination functionality. This allows you to consolidate multiple hook configurations for streamlined processing in advanced workflows. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `hooks_A` | HOOKS | optional | None | - | First hook group to combine | +| `hooks_B` | HOOKS | optional | None | - | Second hook group to combine | +| `hooks_C` | HOOKS | optional | None | - | Third hook group to combine | +| `hooks_D` | HOOKS | optional | None | - | Fourth hook group to combine | +| `hooks_E` | HOOKS | optional | None | - | Fifth hook group to combine | +| `hooks_F` | HOOKS | optional | None | - | Sixth hook group to combine | +| `hooks_G` | HOOKS | optional | None | - | Seventh hook group to combine | +| `hooks_H` | HOOKS | optional | None | - | Eighth hook group to combine | + +**Note:** All input parameters are optional. The node will combine only the hook groups that are provided, ignoring any that are left empty. You can provide anywhere from one to eight hook groups for combination. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `HOOKS` | HOOKS | A single combined hook group containing all the provided hook configurations | diff --git a/built-in-nodes/CombineHooksFour.mdx b/built-in-nodes/CombineHooksFour.mdx new file mode 100644 index 000000000..c6a9cec53 --- /dev/null +++ b/built-in-nodes/CombineHooksFour.mdx @@ -0,0 +1,26 @@ +--- +title: "CombineHooksFour - ComfyUI Built-in Node Documentation" +description: "The Combine Hooks [4] node merges up to four separate hook groups into a single combined hook group. It takes any combination of the four available hook inputs and combines them using ComfyUI's hoo..." +sidebarTitle: "CombineHooksFour" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksFour/en.md) + +The Combine Hooks [4] node merges up to four separate hook groups into a single combined hook group. It takes any combination of the four available hook inputs and combines them using ComfyUI's hook combination system. This allows you to consolidate multiple hook configurations for streamlined processing in advanced workflows. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `hooks_A` | HOOKS | optional | None | - | First hook group to combine | +| `hooks_B` | HOOKS | optional | None | - | Second hook group to combine | +| `hooks_C` | HOOKS | optional | None | - | Third hook group to combine | +| `hooks_D` | HOOKS | optional | None | - | Fourth hook group to combine | + +**Note:** All four hook inputs are optional. The node will combine only the hook groups that are provided, and will return an empty hook group if no inputs are connected. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `HOOKS` | HOOKS | Combined hook group containing all provided hook configurations | diff --git a/built-in-nodes/ComboOptionTestNode.mdx b/built-in-nodes/ComboOptionTestNode.mdx new file mode 100644 index 000000000..f7afd8c48 --- /dev/null +++ b/built-in-nodes/ComboOptionTestNode.mdx @@ -0,0 +1,23 @@ +--- +title: "ComboOptionTestNode - ComfyUI Built-in Node Documentation" +description: "The ComboOptionTestNode is a logic node designed to test and pass through combo box selections. It takes two combo box inputs, each with a predefined set of options, and outputs the selected values..." +sidebarTitle: "ComboOptionTestNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComboOptionTestNode/en.md) + +The ComboOptionTestNode is a logic node designed to test and pass through combo box selections. It takes two combo box inputs, each with a predefined set of options, and outputs the selected values directly without modification. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `combo` | COMBO | Yes | `"option1"`
`"option2"`
`"option3"` | The first selection from a set of three test options. | +| `combo2` | COMBO | Yes | `"option4"`
`"option5"`
`"option6"` | The second selection from a different set of three test options. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output_1` | COMBO | Outputs the value selected from the first combo box (`combo`). | +| `output_2` | COMBO | Outputs the value selected from the second combo box (`combo2`). | diff --git a/built-in-nodes/ComfySoftSwitchNode.mdx b/built-in-nodes/ComfySoftSwitchNode.mdx new file mode 100644 index 000000000..0f80dfba4 --- /dev/null +++ b/built-in-nodes/ComfySoftSwitchNode.mdx @@ -0,0 +1,25 @@ +--- +title: "ComfySoftSwitchNode - ComfyUI Built-in Node Documentation" +description: "The Soft Switch node selects between two possible input values based on a boolean condition. It outputs the value from the `on_true` input when the `switch` is true, and the value from the `on_fals..." +sidebarTitle: "ComfySoftSwitchNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySoftSwitchNode/en.md) + +The Soft Switch node selects between two possible input values based on a boolean condition. It outputs the value from the `on_true` input when the `switch` is true, and the value from the `on_false` input when the `switch` is false. This node is designed to be lazy, meaning it only evaluates the input that is needed based on the switch state. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `switch` | BOOLEAN | Yes | | The boolean condition that determines which input to pass through. When true, the `on_true` input is selected. When false, the `on_false` input is selected. | +| `on_false` | MATCH_TYPE | No | | The value to output when the `switch` condition is false. This input is optional, but at least one of `on_false` or `on_true` must be connected. | +| `on_true` | MATCH_TYPE | No | | The value to output when the `switch` condition is true. This input is optional, but at least one of `on_false` or `on_true` must be connected. | + +**Note:** The `on_false` and `on_true` inputs must be of the same data type, as defined by the node's internal template. At least one of these two inputs must be connected for the node to function. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | MATCH_TYPE | The selected value. It will match the data type of the connected `on_false` or `on_true` input. | diff --git a/built-in-nodes/ComfySwitchNode.mdx b/built-in-nodes/ComfySwitchNode.mdx new file mode 100644 index 000000000..06586e826 --- /dev/null +++ b/built-in-nodes/ComfySwitchNode.mdx @@ -0,0 +1,25 @@ +--- +title: "ComfySwitchNode - ComfyUI Built-in Node Documentation" +description: "The Switch node selects between two possible inputs based on a boolean condition. It outputs the `on_true` input when the `switch` is enabled, and the `on_false` input when the `switch` is disabled..." +sidebarTitle: "ComfySwitchNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySwitchNode/en.md) + +The Switch node selects between two possible inputs based on a boolean condition. It outputs the `on_true` input when the `switch` is enabled, and the `on_false` input when the `switch` is disabled. This allows you to create conditional logic and choose different data paths in your workflow. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `switch` | BOOLEAN | Yes | | A boolean condition that determines which input to pass through. When enabled (true), the `on_true` input is selected. When disabled (false), the `on_false` input is selected. | +| `on_false` | MATCH_TYPE | No | | The data to be passed to the output when the `switch` is disabled (false). This input is only required when the `switch` is false. | +| `on_true` | MATCH_TYPE | No | | The data to be passed to the output when the `switch` is enabled (true). This input is only required when the `switch` is true. | + +**Note on Input Requirements:** The `on_false` and `on_true` inputs are conditionally required. The node will request the `on_true` input only when the `switch` is true, and the `on_false` input only when the `switch` is false. Both inputs must be of the same data type. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | MATCH_TYPE | The selected data. This will be the value from the `on_true` input if the `switch` is true, or the value from the `on_false` input if the `switch` is false. | diff --git a/built-in-nodes/ConditioningAverage.mdx b/built-in-nodes/ConditioningAverage.mdx new file mode 100644 index 000000000..9599ecf1e --- /dev/null +++ b/built-in-nodes/ConditioningAverage.mdx @@ -0,0 +1,32 @@ +--- +title: "ConditioningAverage - ComfyUI Built-in Node Documentation" +description: "The `ConditioningAverage` node is used to blend two different sets of conditioning (such as text prompts) according to a specified weight, generating a new conditioning vector that lies between the..." +sidebarTitle: "ConditioningAverage" +icon: "circle" +--- +The `ConditioningAverage` node is used to blend two different sets of conditioning (such as text prompts) according to a specified weight, generating a new conditioning vector that lies between the two. By adjusting the weight parameter, you can flexibly control the influence of each conditioning on the final result. This is especially suitable for prompt interpolation, style fusion, and other advanced use cases. + +As shown below, by adjusting the strength of `conditioning_to`, you can output a result between the two conditionings. + +![example](/images/built-in-nodes/ConditioningAverage/example.webp) + +## Inputs + +| Parameter | Comfy dtype | Description | +|------------------------|---------------|-------------| +| `conditioning_to` | `CONDITIONING`| The target conditioning vector, serving as the main base for the weighted average. | +| `conditioning_from` | `CONDITIONING`| The source conditioning vector, which will be blended into the target according to a certain weight. | +| `conditioning_to_strength` | `FLOAT` | The strength of the target conditioning, range 0.0-1.0, default 1.0, step 0.01. | + +## Outputs + +| Parameter | Comfy dtype | Description | +|------------------|---------------|-------------| +| `conditioning` | `CONDITIONING`| The resulting conditioning vector after blending, reflecting the weighted average. | + +## Typical Use Cases + +- **Prompt Interpolation:** Smoothly transition between two different text prompts, generating content with intermediate style or semantics. +- **Style Fusion:** Combine different artistic styles or semantic conditions to create novel effects. +- **Strength Adjustment:** Precisely control the influence of a particular conditioning on the result by adjusting the weight. +- **Creative Exploration:** Explore diverse generative effects by mixing different prompts. diff --git a/built-in-nodes/ConditioningCombine.mdx b/built-in-nodes/ConditioningCombine.mdx new file mode 100644 index 000000000..87176e7df --- /dev/null +++ b/built-in-nodes/ConditioningCombine.mdx @@ -0,0 +1,34 @@ +--- +title: "ConditioningCombine - ComfyUI Built-in Node Documentation" +description: "This node combines two conditioning inputs into a single output, effectively merging their information. The two conditions are combined using list concatenation." +sidebarTitle: "ConditioningCombine" +icon: "circle" +--- +This node combines two conditioning inputs into a single output, effectively merging their information. The two conditions are combined using list concatenation. + +## Inputs + +| Parameter Name | Data Type | Description | +|----------------------|--------------------|-------------| +| `conditioning_1` | `CONDITIONING` | The first conditioning input to be combined. It has equal importance with `conditioning_2` in the combination process. | +| `conditioning_2` | `CONDITIONING` | The second conditioning input to be combined. It has equal importance with `conditioning_1` in the combination process. | + +## Outputs + +| Parameter Name | Data Type | Description | +|----------------------|--------------------|-------------| +| `conditioning` | `CONDITIONING` | The result of combining `conditioning_1` and `conditioning_2`, encapsulating the merged information. | + +## Usage Scenarios + +Compare the two groups below: the left side uses the ConditioningCombine node, while the right side shows normal output. + +![Compare](/images/built-in-nodes/ConditioningCombine/compare.jpg) + +In this example, the two conditions used in `Conditioning Combine` have equivalent importance. Therefore, you can use different text encodings for image style, subject features, etc., allowing the prompt features to be output more completely. The second prompt uses the combined complete prompt, but semantic understanding may encode completely different conditions. + +Using this node, you can achieve: + +- Basic text merging: Connect the outputs of two `CLIP Text Encode` nodes to the two input ports of `Conditioning Combine` +- Complex prompt combination: Combine positive and negative prompts, or separately encode main descriptions and style descriptions before merging +- Conditional chain combination: Multiple `Conditioning Combine` nodes can be used in series to achieve gradual combination of multiple conditions diff --git a/built-in-nodes/ConditioningConcat.mdx b/built-in-nodes/ConditioningConcat.mdx new file mode 100644 index 000000000..48011d898 --- /dev/null +++ b/built-in-nodes/ConditioningConcat.mdx @@ -0,0 +1,20 @@ +--- +title: "ConditioningConcat - ComfyUI Built-in Node Documentation" +description: "The ConditioningConcat node is designed to concatenate conditioning vectors, specifically merging the 'conditioning_from' vector into the 'conditioning_to' vector. This operation is fundamental in ..." +sidebarTitle: "ConditioningConcat" +icon: "circle" +--- +The ConditioningConcat node is designed to concatenate conditioning vectors, specifically merging the 'conditioning_from' vector into the 'conditioning_to' vector. This operation is fundamental in scenarios where the conditioning information from two sources needs to be combined into a single, unified representation. + +## Inputs + +| Parameter | Comfy dtype | Description | +|-----------------------|--------------------|-------------| +| `conditioning_to` | `CONDITIONING` | Represents the primary set of conditioning vectors to which the 'conditioning_from' vectors will be concatenated. It serves as the base for the concatenation process. | +| `conditioning_from` | `CONDITIONING` | Consists of conditioning vectors that are to be concatenated to the 'conditioning_to' vectors. This parameter allows for additional conditioning information to be integrated into the existing set. | + +## Outputs + +| Parameter | Comfy dtype | Description | +|----------------------|--------------------|-------------| +| `conditioning` | `CONDITIONING` | The output is a unified set of conditioning vectors, resulting from the concatenation of 'conditioning_from' vectors into the 'conditioning_to' vectors. | diff --git a/built-in-nodes/ConditioningSetArea.mdx b/built-in-nodes/ConditioningSetArea.mdx new file mode 100644 index 000000000..b83aecde4 --- /dev/null +++ b/built-in-nodes/ConditioningSetArea.mdx @@ -0,0 +1,24 @@ +--- +title: "ConditioningSetArea - ComfyUI Built-in Node Documentation" +description: "This node is designed to modify the conditioning information by setting specific areas within the conditioning context. It allows for the precise spatial manipulation of conditioning elements, enab..." +sidebarTitle: "ConditioningSetArea" +icon: "circle" +--- +This node is designed to modify the conditioning information by setting specific areas within the conditioning context. It allows for the precise spatial manipulation of conditioning elements, enabling targeted adjustments and enhancements based on specified dimensions and strength. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `CONDITIONING` | CONDITIONING | The conditioning data to be modified. It serves as the base for applying spatial adjustments. | +| `width` | `INT` | Specifies the width of the area to be set within the conditioning context, influencing the horizontal scope of the adjustment. | +| `height` | `INT` | Determines the height of the area to be set, affecting the vertical extent of the conditioning modification. | +| `x` | `INT` | The horizontal starting point of the area to be set, positioning the adjustment within the conditioning context. | +| `y` | `INT` | The vertical starting point for the area adjustment, establishing its position within the conditioning context. | +| `strength`| `FLOAT` | Defines the intensity of the conditioning modification within the specified area, allowing for nuanced control over the adjustment's impact. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `CONDITIONING` | CONDITIONING | The modified conditioning data, reflecting the specified area settings and adjustments. | diff --git a/built-in-nodes/ConditioningSetAreaPercentage.mdx b/built-in-nodes/ConditioningSetAreaPercentage.mdx new file mode 100644 index 000000000..a384b59cd --- /dev/null +++ b/built-in-nodes/ConditioningSetAreaPercentage.mdx @@ -0,0 +1,24 @@ +--- +title: "ConditioningSetAreaPercentage - ComfyUI Built-in Node Documentation" +description: "The ConditioningSetAreaPercentage node specializes in adjusting the area of influence for conditioning elements based on percentage values. It allows for the specification of the area's dimensions ..." +sidebarTitle: "ConditioningSetAreaPercentage" +icon: "circle" +--- +The ConditioningSetAreaPercentage node specializes in adjusting the area of influence for conditioning elements based on percentage values. It allows for the specification of the area's dimensions and position as percentages of the total image size, alongside a strength parameter to modulate the intensity of the conditioning effect. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `CONDITIONING` | CONDITIONING | Represents the conditioning elements to be modified, serving as the foundation for applying area and strength adjustments. | +| `width` | `FLOAT` | Specifies the width of the area as a percentage of the total image width, influencing how much of the image the conditioning affects horizontally. | +| `height` | `FLOAT` | Determines the height of the area as a percentage of the total image height, affecting the vertical extent of the conditioning's influence. | +| `x` | `FLOAT` | Indicates the horizontal starting point of the area as a percentage of the total image width, positioning the conditioning effect. | +| `y` | `FLOAT` | Specifies the vertical starting point of the area as a percentage of the total image height, positioning the conditioning effect. | +| `strength`| `FLOAT` | Controls the intensity of the conditioning effect within the specified area, allowing for fine-tuning of its impact. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `CONDITIONING` | CONDITIONING | Returns the modified conditioning elements with updated area and strength parameters, ready for further processing or application. | diff --git a/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx b/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx new file mode 100644 index 000000000..5a600b463 --- /dev/null +++ b/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx @@ -0,0 +1,28 @@ +--- +title: "ConditioningSetAreaPercentageVideo - ComfyUI Built-in Node Documentation" +description: "The ConditioningSetAreaPercentageVideo node modifies conditioning data by defining a specific area and temporal region for video generation. It allows you to set the position, size, and duration of..." +sidebarTitle: "ConditioningSetAreaPercentageVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentageVideo/en.md) + +The ConditioningSetAreaPercentageVideo node modifies conditioning data by defining a specific area and temporal region for video generation. It allows you to set the position, size, and duration of the area where the conditioning will be applied using percentage values relative to the overall dimensions. This is useful for focusing the generation on specific parts of a video sequence. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `conditioning` | CONDITIONING | Required | - | - | The conditioning data to be modified | +| `width` | FLOAT | Required | 1.0 | 0.0 - 1.0 | The width of the area as a percentage of the total width | +| `height` | FLOAT | Required | 1.0 | 0.0 - 1.0 | The height of the area as a percentage of the total height | +| `temporal` | FLOAT | Required | 1.0 | 0.0 - 1.0 | The temporal duration of the area as a percentage of the total video length | +| `x` | FLOAT | Required | 0.0 | 0.0 - 1.0 | The horizontal starting position of the area as a percentage | +| `y` | FLOAT | Required | 0.0 | 0.0 - 1.0 | The vertical starting position of the area as a percentage | +| `z` | FLOAT | Required | 0.0 | 0.0 - 1.0 | The temporal starting position of the area as a percentage of the video timeline | +| `strength` | FLOAT | Required | 1.0 | 0.0 - 10.0 | The strength multiplier applied to the conditioning within the defined area | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `conditioning` | CONDITIONING | The modified conditioning data with the specified area and strength settings applied | diff --git a/built-in-nodes/ConditioningSetAreaStrength.mdx b/built-in-nodes/ConditioningSetAreaStrength.mdx new file mode 100644 index 000000000..07faee27b --- /dev/null +++ b/built-in-nodes/ConditioningSetAreaStrength.mdx @@ -0,0 +1,20 @@ +--- +title: "ConditioningSetAreaStrength - ComfyUI Built-in Node Documentation" +description: "This node is designed to modify the strength attribute of a given conditioning set, allowing for the adjustment of the influence or intensity of the conditioning on the generation process." +sidebarTitle: "ConditioningSetAreaStrength" +icon: "circle" +--- +This node is designed to modify the strength attribute of a given conditioning set, allowing for the adjustment of the influence or intensity of the conditioning on the generation process. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `CONDITIONING` | CONDITIONING | The conditioning set to be modified, representing the current state of conditioning that influences the generation process. | +| `strength` | `FLOAT` | The strength value to be applied to the conditioning set, dictating the intensity of its influence. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `CONDITIONING` | CONDITIONING | The modified conditioning set with updated strength values for each element. | diff --git a/built-in-nodes/ConditioningSetDefaultAndCombine.mdx b/built-in-nodes/ConditioningSetDefaultAndCombine.mdx new file mode 100644 index 000000000..2fcaf2ed7 --- /dev/null +++ b/built-in-nodes/ConditioningSetDefaultAndCombine.mdx @@ -0,0 +1,23 @@ +--- +title: "ConditioningSetDefaultAndCombine - ComfyUI Built-in Node Documentation" +description: "This node combines conditioning data with default conditioning data using a hook-based system. It takes a primary conditioning input and a default conditioning input, then merges them according to ..." +sidebarTitle: "ConditioningSetDefaultAndCombine" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetDefaultAndCombine/en.md) + +This node combines conditioning data with default conditioning data using a hook-based system. It takes a primary conditioning input and a default conditioning input, then merges them according to the specified hook configuration. The result is a single conditioning output that incorporates both sources. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `cond` | CONDITIONING | Required | - | - | The primary conditioning input to be processed | +| `cond_DEFAULT` | CONDITIONING | Required | - | - | The default conditioning data to be combined with the primary conditioning | +| `hooks` | HOOKS | Optional | - | - | Optional hook configuration that controls how the conditioning data is processed and combined | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The combined conditioning data resulting from merging the primary and default conditioning inputs | diff --git a/built-in-nodes/ConditioningSetMask.mdx b/built-in-nodes/ConditioningSetMask.mdx new file mode 100644 index 000000000..6a2d20f36 --- /dev/null +++ b/built-in-nodes/ConditioningSetMask.mdx @@ -0,0 +1,24 @@ +--- +title: "ConditioningSetMask - ComfyUI Built-in Node Documentation" +description: "This node is designed to modify the conditioning of a generative model by applying a mask with a specified strength to certain areas. It allows for targeted adjustments within the conditioning, ena..." +sidebarTitle: "ConditioningSetMask" +icon: "circle" +--- +This node is designed to modify the conditioning of a generative model by applying a mask with a specified strength to certain areas. It allows for targeted adjustments within the conditioning, enabling more precise control over the generation process. + +## Inputs + +### Required + +| Parameter | Data Type | Description | +|---------------|--------------|-------------| +| `CONDITIONING` | CONDITIONING | The conditioning data to be modified. It serves as the basis for applying the mask and strength adjustments. | +| `mask` | `MASK` | A mask tensor that specifies the areas within the conditioning to be modified. | +| `strength` | `FLOAT` | The strength of the mask's effect on the conditioning, allowing for fine-tuning of the applied modifications. | +| `set_cond_area` | COMBO[STRING] | Determines whether the mask's effect is applied to the default area or bounded by the mask itself, offering flexibility in targeting specific regions. | + +## Outputs + +| Parameter | Data Type | Description | +|---------------|--------------|-------------| +| `CONDITIONING` | CONDITIONING | The modified conditioning data, with the mask and strength adjustments applied. | diff --git a/built-in-nodes/ConditioningSetProperties.mdx b/built-in-nodes/ConditioningSetProperties.mdx new file mode 100644 index 000000000..5d027b1a3 --- /dev/null +++ b/built-in-nodes/ConditioningSetProperties.mdx @@ -0,0 +1,28 @@ +--- +title: "ConditioningSetProperties - ComfyUI Built-in Node Documentation" +description: "The ConditioningSetProperties node modifies the properties of conditioning data by adjusting strength, area settings, and applying optional masks or timestep ranges. It allows you to control how co..." +sidebarTitle: "ConditioningSetProperties" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetProperties/en.md) + +The ConditioningSetProperties node modifies the properties of conditioning data by adjusting strength, area settings, and applying optional masks or timestep ranges. It allows you to control how conditioning influences the generation process by setting specific parameters that affect the application of conditioning data during image generation. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `cond_NEW` | CONDITIONING | Required | - | - | The conditioning data to modify | +| `strength` | FLOAT | Required | 1.0 | 0.0-10.0 | Controls the intensity of the conditioning effect | +| `set_cond_area` | STRING | Required | default | ["default", "mask bounds"] | Determines how the conditioning area is applied | +| `mask` | MASK | Optional | - | - | Optional mask to restrict where conditioning is applied | +| `hooks` | HOOKS | Optional | - | - | Optional hook functions for custom processing | +| `timesteps` | TIMESTEPS_RANGE | Optional | - | - | Optional timestep range to limit when conditioning is active | + +**Note:** When a `mask` is provided, the `set_cond_area` parameter can be set to "mask bounds" to restrict conditioning application to the masked region only. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The modified conditioning data with updated properties | diff --git a/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx b/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx new file mode 100644 index 000000000..f83c4d6ea --- /dev/null +++ b/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx @@ -0,0 +1,29 @@ +--- +title: "ConditioningSetPropertiesAndCombine - ComfyUI Built-in Node Documentation" +description: "The ConditioningSetPropertiesAndCombine node modifies conditioning data by applying properties from a new conditioning input to an existing conditioning input. It combines the two conditioning sets..." +sidebarTitle: "ConditioningSetPropertiesAndCombine" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetPropertiesAndCombine/en.md) + +The ConditioningSetPropertiesAndCombine node modifies conditioning data by applying properties from a new conditioning input to an existing conditioning input. It combines the two conditioning sets while controlling the strength of the new conditioning and specifying how the conditioning area should be applied. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `cond` | CONDITIONING | Required | - | - | The original conditioning data to be modified | +| `cond_NEW` | CONDITIONING | Required | - | - | The new conditioning data providing properties to apply | +| `strength` | FLOAT | Required | 1.0 | 0.0 - 10.0 | Controls the intensity of the new conditioning properties | +| `set_cond_area` | STRING | Required | default | ["default", "mask bounds"] | Determines how the conditioning area is applied | +| `mask` | MASK | Optional | - | - | Optional mask to define specific areas for conditioning | +| `hooks` | HOOKS | Optional | - | - | Optional hook functions for custom processing | +| `timesteps` | TIMESTEPS_RANGE | Optional | - | - | Optional timestep range for controlling when conditioning is applied | + +**Note:** When `mask` is provided, the `set_cond_area` parameter can use "mask bounds" to constrain the conditioning application to the masked regions. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The combined conditioning data with modified properties | diff --git a/built-in-nodes/ConditioningSetTimestepRange.mdx b/built-in-nodes/ConditioningSetTimestepRange.mdx new file mode 100644 index 000000000..28e92f695 --- /dev/null +++ b/built-in-nodes/ConditioningSetTimestepRange.mdx @@ -0,0 +1,21 @@ +--- +title: "ConditioningSetTimestepRange - ComfyUI Built-in Node Documentation" +description: "This node is designed to adjust the temporal aspect of conditioning by setting a specific range of timesteps. It allows for the precise control over the start and end points of the conditioning pro..." +sidebarTitle: "ConditioningSetTimestepRange" +icon: "circle" +--- +This node is designed to adjust the temporal aspect of conditioning by setting a specific range of timesteps. It allows for the precise control over the start and end points of the conditioning process, enabling more targeted and efficient generation. + +## Inputs + +| Parameter | Data Type | Description | +| --- | --- | --- | +| `CONDITIONING` | CONDITIONING | The conditioning input represents the current state of the generation process, which this node modifies by setting a specific range of timesteps. | +| `start` | `FLOAT` | The start parameter specifies the beginning of the timestep range as a percentage of the total generation process, allowing for fine-tuned control over when the conditioning effects begin. | +| `end` | `FLOAT` | The end parameter defines the endpoint of the timestep range as a percentage, enabling precise control over the duration and conclusion of the conditioning effects. | + +## Outputs + +| Parameter | Data Type | Description | +| --- | --- | --- | +| `CONDITIONING` | CONDITIONING | The output is the modified conditioning with the specified timestep range applied, ready for further processing or generation. | diff --git a/built-in-nodes/ConditioningStableAudio.mdx b/built-in-nodes/ConditioningStableAudio.mdx new file mode 100644 index 000000000..40b07bc6f --- /dev/null +++ b/built-in-nodes/ConditioningStableAudio.mdx @@ -0,0 +1,25 @@ +--- +title: "ConditioningStableAudio - ComfyUI Built-in Node Documentation" +description: "The ConditioningStableAudio node adds timing information to both positive and negative conditioning inputs for audio generation. It sets the start time and total duration parameters that help contr..." +sidebarTitle: "ConditioningStableAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningStableAudio/en.md) + +The ConditioningStableAudio node adds timing information to both positive and negative conditioning inputs for audio generation. It sets the start time and total duration parameters that help control when and how long audio content should be generated. This node modifies existing conditioning data by appending audio-specific timing metadata. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The positive conditioning input to be modified with audio timing information | +| `negative` | CONDITIONING | Yes | - | The negative conditioning input to be modified with audio timing information | +| `seconds_start` | FLOAT | Yes | 0.0 to 1000.0 | The starting time in seconds for audio generation (default: 0.0) | +| `seconds_total` | FLOAT | Yes | 0.0 to 1000.0 | The total duration in seconds for audio generation (default: 47.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The modified positive conditioning with audio timing information applied | +| `negative` | CONDITIONING | The modified negative conditioning with audio timing information applied | diff --git a/built-in-nodes/ConditioningTimestepsRange.mdx b/built-in-nodes/ConditioningTimestepsRange.mdx new file mode 100644 index 000000000..0ad00c101 --- /dev/null +++ b/built-in-nodes/ConditioningTimestepsRange.mdx @@ -0,0 +1,24 @@ +--- +title: "ConditioningTimestepsRange - ComfyUI Built-in Node Documentation" +description: "The ConditioningTimestepsRange node creates three distinct timestep ranges for controlling when conditioning effects are applied during the generation process. It takes start and end percentage val..." +sidebarTitle: "ConditioningTimestepsRange" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningTimestepsRange/en.md) + +The ConditioningTimestepsRange node creates three distinct timestep ranges for controlling when conditioning effects are applied during the generation process. It takes start and end percentage values and divides the entire timestep range (0.0 to 1.0) into three segments: the main range between the specified percentages, the range before the start percentage, and the range after the end percentage. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting percentage of the timestep range (default: 0.0) | +| `end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending percentage of the timestep range (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `TIMESTEPS_RANGE` | TIMESTEPS_RANGE | The main timestep range defined by start_percent and end_percent | +| `BEFORE_RANGE` | TIMESTEPS_RANGE | The timestep range from 0.0 to start_percent | +| `AFTER_RANGE` | TIMESTEPS_RANGE | The timestep range from end_percent to 1.0 | diff --git a/built-in-nodes/ConditioningZeroOut.mdx b/built-in-nodes/ConditioningZeroOut.mdx new file mode 100644 index 000000000..ee8ac4ec7 --- /dev/null +++ b/built-in-nodes/ConditioningZeroOut.mdx @@ -0,0 +1,19 @@ +--- +title: "ConditioningZeroOut - ComfyUI Built-in Node Documentation" +description: "This node zeroes out specific elements within the conditioning data structure, effectively neutralizing their influence in subsequent processing steps. It's designed for advanced conditioning opera..." +sidebarTitle: "ConditioningZeroOut" +icon: "circle" +--- +This node zeroes out specific elements within the conditioning data structure, effectively neutralizing their influence in subsequent processing steps. It's designed for advanced conditioning operations where direct manipulation of the conditioning's internal representation is required. + +## Inputs + +| Parameter | Comfy dtype | Description | +|-----------|----------------------------|-------------| +| `CONDITIONING` | CONDITIONING | The conditioning data structure to be modified. This node zeroes out the 'pooled_output' elements within each conditioning entry, if present. | + +## Outputs + +| Parameter | Comfy dtype | Description | +|-----------|----------------------------|-------------| +| `CONDITIONING` | CONDITIONING | The modified conditioning data structure, with 'pooled_output' elements set to zero where applicable. | diff --git a/built-in-nodes/ContextWindowsManual.mdx b/built-in-nodes/ContextWindowsManual.mdx new file mode 100644 index 000000000..d842be919 --- /dev/null +++ b/built-in-nodes/ContextWindowsManual.mdx @@ -0,0 +1,34 @@ +--- +title: "ContextWindowsManual - ComfyUI Built-in Node Documentation" +description: "The Context Windows (Manual) node allows you to manually configure context windows for models during sampling. It creates overlapping context segments with specified length, overlap, and scheduling..." +sidebarTitle: "ContextWindowsManual" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ContextWindowsManual/en.md) + +The Context Windows (Manual) node allows you to manually configure context windows for models during sampling. It creates overlapping context segments with specified length, overlap, and scheduling patterns to process data in manageable chunks while maintaining continuity between segments. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply context windows to during sampling. | +| `context_length` | INT | No | 1+ | The length of the context window (default: 16). | +| `context_overlap` | INT | No | 0+ | The overlap of the context window (default: 4). | +| `context_schedule` | COMBO | No | `STATIC_STANDARD`
`UNIFORM_STANDARD`
`UNIFORM_LOOPED`
`BATCHED` | The stride of the context window. | +| `context_stride` | INT | No | 1+ | The stride of the context window; only applicable to uniform schedules (default: 1). | +| `closed_loop` | BOOLEAN | No | - | Whether to close the context window loop; only applicable to looped schedules (default: False). | +| `fuse_method` | COMBO | No | `PYRAMID`
`LIST_STATIC` | The method to use to fuse the context windows (default: PYRAMID). | +| `dim` | INT | No | 0-5 | The dimension to apply the context windows to (default: 0). | + +**Parameter Constraints:** + +- `context_stride` is only used when uniform schedules are selected +- `closed_loop` is only applicable to looped schedules +- `dim` must be between 0 and 5 inclusive + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The model with context windows applied during sampling. | diff --git a/built-in-nodes/ControlNetApply.mdx b/built-in-nodes/ControlNetApply.mdx new file mode 100644 index 000000000..2b964c80c --- /dev/null +++ b/built-in-nodes/ControlNetApply.mdx @@ -0,0 +1,27 @@ +--- +title: "ControlNetApply - ComfyUI Built-in Node Documentation" +description: "Using controlNet requires preprocessing of input images. Since ComfyUI initial nodes do not come with preprocessors and controlNet models, please first install ControlNet preprocessors [download pr..." +sidebarTitle: "ControlNetApply" +icon: "circle" +--- +Using controlNet requires preprocessing of input images. Since ComfyUI initial nodes do not come with preprocessors and controlNet models, please first install ControlNet preprocessors [download preprocessors here](https://github.com/Fannovel16/comfy_controlnet_preprocessors) and corresponding controlNet models. + +## Inputs + +| Parameter | Data Type | Function | +| --- | --- | --- | +| `positive` | `CONDITIONING` | Positive conditioning data, from CLIP Text Encoder or other conditioning inputs | +| `negative` | `CONDITIONING` | Negative conditioning data, from CLIP Text Encoder or other conditioning inputs | +| `control_net` | `CONTROL_NET` | The controlNet model to apply, typically input from ControlNet Loader | +| `image` | `IMAGE` | Image for controlNet application, needs to be processed by preprocessor | +| `vae` | `VAE` | Vae model input | +| `strength` | `FLOAT` | Controls the strength of network adjustments, value range 0~10. Recommended values between 0.5~1.5 are reasonable. Lower values allow more model freedom, higher values impose stricter constraints. Too high values may result in strange images. You can test and adjust this value to fine-tune the control network's influence. | +| `start_percent` | `FLOAT` | Value 0.000~1.000, determines when to start applying controlNet as a percentage, e.g., 0.2 means ControlNet guidance will start influencing image generation at 20% of the diffusion process | +| `end_percent` | `FLOAT` | Value 0.000~1.000, determines when to stop applying controlNet as a percentage, e.g., 0.8 means ControlNet guidance will stop influencing image generation at 80% of the diffusion process | + +### Outputs + +| Parameter | Data Type | Function | +| --- | --- | --- | +| `positive` | `CONDITIONING` | Positive conditioning data processed by ControlNet, can be output to next ControlNet or K Sampler nodes | +| `negative` | `CONDITIONING` | Negative conditioning data processed by ControlNet, can be output to next ControlNet or K Sampler nodes | diff --git a/built-in-nodes/ControlNetApplyAdvanced.mdx b/built-in-nodes/ControlNetApplyAdvanced.mdx new file mode 100644 index 000000000..a0483a646 --- /dev/null +++ b/built-in-nodes/ControlNetApplyAdvanced.mdx @@ -0,0 +1,26 @@ +--- +title: "ControlNetApplyAdvanced - ComfyUI Built-in Node Documentation" +description: "This node applies advanced control net transformations to conditioning data based on an image and a control net model. It allows for fine-tuned adjustments of the control net's influence over the g..." +sidebarTitle: "ControlNetApplyAdvanced" +icon: "circle" +--- +This node applies advanced control net transformations to conditioning data based on an image and a control net model. It allows for fine-tuned adjustments of the control net's influence over the generated content, enabling more precise and varied modifications to the conditioning. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `positive` | `CONDITIONING` | The positive conditioning data to which the control net transformations will be applied. It represents the desired attributes or features to enhance or maintain in the generated content. | +| `negative` | `CONDITIONING` | The negative conditioning data, representing attributes or features to diminish or remove from the generated content. The control net transformations are applied to this data as well, allowing for a balanced adjustment of the content's characteristics. | +| `control_net` | `CONTROL_NET` | The control net model is crucial for defining the specific adjustments and enhancements to the conditioning data. It interprets the reference image and strength parameters to apply transformations, significantly influencing the final output by modifying attributes in both positive and negative conditioning data. | +| `image` | `IMAGE` | The image serving as a reference for the control net transformations. It influences the adjustments made by the control net to the conditioning data, guiding the enhancement or suppression of specific features. | +| `strength` | `FLOAT` | A scalar value determining the intensity of the control net's influence on the conditioning data. Higher values result in more pronounced adjustments. | +| `start_percent` | `FLOAT` | The starting percentage of the control net's effect, allowing for gradual application of transformations over a specified range. | +| `end_percent` | `FLOAT` | The ending percentage of the control net's effect, defining the range over which the transformations are applied. This enables more nuanced control over the adjustment process. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `positive` | `CONDITIONING` | The modified positive conditioning data after the application of control net transformations, reflecting the enhancements made based on the input parameters. | +| `negative` | `CONDITIONING` | The modified negative conditioning data after the application of control net transformations, reflecting the suppression or removal of specific features based on the input parameters. | diff --git a/built-in-nodes/ControlNetApplySD3.mdx b/built-in-nodes/ControlNetApplySD3.mdx new file mode 100644 index 000000000..e7a4dda12 --- /dev/null +++ b/built-in-nodes/ControlNetApplySD3.mdx @@ -0,0 +1,31 @@ +--- +title: "ControlNetApplySD3 - ComfyUI Built-in Node Documentation" +description: "This node applies ControlNet guidance to Stable Diffusion 3 conditioning. It takes positive and negative conditioning inputs along with a ControlNet model and image, then applies the control guidan..." +sidebarTitle: "ControlNetApplySD3" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplySD3/en.md) + +This node applies ControlNet guidance to Stable Diffusion 3 conditioning. It takes positive and negative conditioning inputs along with a ControlNet model and image, then applies the control guidance with adjustable strength and timing parameters to influence the generation process. + +**Note:** This node has been marked as deprecated and may be removed in future versions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The positive conditioning to apply ControlNet guidance to | +| `negative` | CONDITIONING | Yes | - | The negative conditioning to apply ControlNet guidance to | +| `control_net` | CONTROL_NET | Yes | - | The ControlNet model to use for guidance | +| `vae` | VAE | Yes | - | The VAE model used in the process | +| `image` | IMAGE | Yes | - | The input image that ControlNet will use as guidance | +| `strength` | FLOAT | Yes | 0.0 - 10.0 | The strength of the ControlNet effect (default: 1.0) | +| `start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting point in the generation process where ControlNet begins to apply (default: 0.0) | +| `end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending point in the generation process where ControlNet stops applying (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The modified positive conditioning with ControlNet guidance applied | +| `negative` | CONDITIONING | The modified negative conditioning with ControlNet guidance applied | diff --git a/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx b/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx new file mode 100644 index 000000000..8adea5fdb --- /dev/null +++ b/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx @@ -0,0 +1,32 @@ +--- +title: "ControlNetInpaintingAliMamaApply - ComfyUI Built-in Node Documentation" +description: "The ControlNetInpaintingAliMamaApply node applies ControlNet conditioning for inpainting tasks by combining positive and negative conditioning with a control image and mask. It processes the input ..." +sidebarTitle: "ControlNetInpaintingAliMamaApply" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/en.md) + +The ControlNetInpaintingAliMamaApply node applies ControlNet conditioning for inpainting tasks by combining positive and negative conditioning with a control image and mask. It processes the input image and mask to create modified conditioning that guides the generation process, allowing for precise control over which areas of the image are inpainted. The node supports strength adjustment and timing controls to fine-tune the ControlNet's influence during different stages of the generation process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The positive conditioning that guides the generation toward desired content | +| `negative` | CONDITIONING | Yes | - | The negative conditioning that guides the generation away from unwanted content | +| `control_net` | CONTROL_NET | Yes | - | The ControlNet model that provides additional control over the generation | +| `vae` | VAE | Yes | - | The VAE (Variational Autoencoder) used for encoding and decoding images | +| `image` | IMAGE | Yes | - | The input image that serves as control guidance for the ControlNet | +| `mask` | MASK | Yes | - | The mask that defines which areas of the image should be inpainted | +| `strength` | FLOAT | Yes | 0.0 to 10.0 | The strength of the ControlNet effect (default: 1.0) | +| `start_percent` | FLOAT | Yes | 0.0 to 1.0 | The starting point (as percentage) of when ControlNet influence begins during generation (default: 0.0) | +| `end_percent` | FLOAT | Yes | 0.0 to 1.0 | The ending point (as percentage) of when ControlNet influence stops during generation (default: 1.0) | + +**Note:** When the ControlNet has `concat_mask` enabled, the mask is inverted and applied to the image before processing, and the mask is included in the extra concatenation data sent to the ControlNet. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The modified positive conditioning with ControlNet applied for inpainting | +| `negative` | CONDITIONING | The modified negative conditioning with ControlNet applied for inpainting | diff --git a/built-in-nodes/ControlNetLoader.mdx b/built-in-nodes/ControlNetLoader.mdx new file mode 100644 index 000000000..f0bef12a3 --- /dev/null +++ b/built-in-nodes/ControlNetLoader.mdx @@ -0,0 +1,21 @@ +--- +title: "ControlNetLoader - ComfyUI Built-in Node Documentation" +description: "This node will detect models located in the `ComfyUI/models/controlnet` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may ..." +sidebarTitle: "ControlNetLoader" +icon: "circle" +--- +This node will detect models located in the `ComfyUI/models/controlnet` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to **refresh the ComfyUI interface** to allow it to read the model files from the corresponding folder. + +The ControlNetLoader node is designed to load a ControlNet model from a specified path. It plays a crucial role in initializing ControlNet models, which are essential for applying control mechanisms over generated content or modifying existing content based on control signals. + +## Inputs + +| Field | Comfy dtype | Description | +|-------------------|-------------------|-----------------------------------------------------------------------------------| +| `control_net_name`| `COMBO[STRING]` | Specifies the name of the ControlNet model to be loaded, used to locate the model file within a predefined directory structure. | + +## Outputs + +| Field | Comfy dtype | Description | +|----------------|---------------|--------------------------------------------------------------------------| +| `control_net` | `CONTROL_NET` | Returns the loaded ControlNet model, ready for use in controlling or modifying content generation processes. | diff --git a/built-in-nodes/ConvertStringToComboNode.mdx b/built-in-nodes/ConvertStringToComboNode.mdx new file mode 100644 index 000000000..c2141517f --- /dev/null +++ b/built-in-nodes/ConvertStringToComboNode.mdx @@ -0,0 +1,21 @@ +--- +title: "ConvertStringToComboNode - ComfyUI Built-in Node Documentation" +description: "The Convert String to Combo node takes a text string as input and converts it into a Combo data type. This allows you to use a text value as a selection for other nodes that require a Combo input. ..." +sidebarTitle: "ConvertStringToComboNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConvertStringToComboNode/en.md) + +The Convert String to Combo node takes a text string as input and converts it into a Combo data type. This allows you to use a text value as a selection for other nodes that require a Combo input. It simply passes the string value through unchanged but changes its data type. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `string` | STRING | Yes | N/A | The text string to be converted into a Combo type. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | COMBO | The input string, now formatted as a Combo data type. | diff --git a/built-in-nodes/CosmosImageToVideoLatent.mdx b/built-in-nodes/CosmosImageToVideoLatent.mdx new file mode 100644 index 000000000..99d2e293d --- /dev/null +++ b/built-in-nodes/CosmosImageToVideoLatent.mdx @@ -0,0 +1,29 @@ +--- +title: "CosmosImageToVideoLatent - ComfyUI Built-in Node Documentation" +description: "The CosmosImageToVideoLatent node creates video latent representations from input images. It generates a blank video latent and optionally encodes start and/or end images into the beginning and/or ..." +sidebarTitle: "CosmosImageToVideoLatent" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/en.md) + +The CosmosImageToVideoLatent node creates video latent representations from input images. It generates a blank video latent and optionally encodes start and/or end images into the beginning and/or end frames of the video sequence. When images are provided, it also creates corresponding noise masks to indicate which parts of the latent should be preserved during generation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `vae` | VAE | Yes | - | The VAE model used for encoding images into latent space | +| `width` | INT | No | 16 to MAX_RESOLUTION | The width of the output video in pixels (default: 1280) | +| `height` | INT | No | 16 to MAX_RESOLUTION | The height of the output video in pixels (default: 704) | +| `length` | INT | No | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 121) | +| `batch_size` | INT | No | 1 to 4096 | The number of latent batches to generate (default: 1) | +| `start_image` | IMAGE | No | - | Optional image to encode at the beginning of the video sequence | +| `end_image` | IMAGE | No | - | Optional image to encode at the end of the video sequence | + +**Note:** When neither `start_image` nor `end_image` are provided, the node returns a blank latent without any noise mask. When either image is provided, the corresponding sections of the latent are encoded and masked accordingly. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `latent` | LATENT | The generated video latent representation with optional encoded images and corresponding noise masks | diff --git a/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx b/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx new file mode 100644 index 000000000..d5f2e90b1 --- /dev/null +++ b/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx @@ -0,0 +1,30 @@ +--- +title: "CosmosPredict2ImageToVideoLatent - ComfyUI Built-in Node Documentation" +description: "The CosmosPredict2ImageToVideoLatent node creates video latent representations from images for video generation. It can generate a blank video latent or incorporate start and end images to create v..." +sidebarTitle: "CosmosPredict2ImageToVideoLatent" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/en.md) + +The CosmosPredict2ImageToVideoLatent node creates video latent representations from images for video generation. It can generate a blank video latent or incorporate start and end images to create video sequences with specified dimensions and duration. The node handles the encoding of images into the appropriate latent space format for video processing. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `vae` | VAE | Yes | - | The VAE model used for encoding images into latent space | +| `width` | INT | No | 16 to MAX_RESOLUTION | The width of the output video in pixels (default: 848, must be divisible by 16) | +| `height` | INT | No | 16 to MAX_RESOLUTION | The height of the output video in pixels (default: 480, must be divisible by 16) | +| `length` | INT | No | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 93, step: 4) | +| `batch_size` | INT | No | 1 to 4096 | The number of video sequences to generate (default: 1) | +| `start_image` | IMAGE | No | - | Optional starting image for the video sequence | +| `end_image` | IMAGE | No | - | Optional ending image for the video sequence | + +**Note:** When neither `start_image` nor `end_image` are provided, the node generates a blank video latent. When images are provided, they are encoded and positioned at the beginning and/or end of the video sequence with appropriate masking. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `samples` | LATENT | The generated video latent representation containing the encoded video sequence | +| `noise_mask` | LATENT | A mask indicating which parts of the latent should be preserved during generation | diff --git a/built-in-nodes/CreateHookKeyframe.mdx b/built-in-nodes/CreateHookKeyframe.mdx new file mode 100644 index 000000000..9e36e26db --- /dev/null +++ b/built-in-nodes/CreateHookKeyframe.mdx @@ -0,0 +1,23 @@ +--- +title: "CreateHookKeyframe - ComfyUI Built-in Node Documentation" +description: "The Create Hook Keyframe node allows you to define specific points in a generation process where hook behavior changes. It creates keyframes that modify the strength of hooks at particular percenta..." +sidebarTitle: "CreateHookKeyframe" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframe/en.md) + +The Create Hook Keyframe node allows you to define specific points in a generation process where hook behavior changes. It creates keyframes that modify the strength of hooks at particular percentages of the generation progress, and these keyframes can be chained together to create complex scheduling patterns. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `strength_mult` | FLOAT | Yes | -20.0 to 20.0 | Multiplier for hook strength at this keyframe (default: 1.0) | +| `start_percent` | FLOAT | Yes | 0.0 to 1.0 | The percentage point in the generation process where this keyframe takes effect (default: 0.0) | +| `prev_hook_kf` | HOOK_KEYFRAMES | No | - | Optional previous hook keyframe group to add this keyframe to | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `HOOK_KF` | HOOK_KEYFRAMES | A group of hook keyframes including the newly created keyframe | diff --git a/built-in-nodes/CreateHookKeyframesFromFloats.mdx b/built-in-nodes/CreateHookKeyframesFromFloats.mdx new file mode 100644 index 000000000..959eff149 --- /dev/null +++ b/built-in-nodes/CreateHookKeyframesFromFloats.mdx @@ -0,0 +1,27 @@ +--- +title: "CreateHookKeyframesFromFloats - ComfyUI Built-in Node Documentation" +description: "This node creates hook keyframes from a list of floating-point strength values, distributing them evenly between specified start and end percentages. It generates a sequence of keyframes where each..." +sidebarTitle: "CreateHookKeyframesFromFloats" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesFromFloats/en.md) + +This node creates hook keyframes from a list of floating-point strength values, distributing them evenly between specified start and end percentages. It generates a sequence of keyframes where each strength value is assigned to a specific percentage position in the animation timeline. The node can either create a new keyframe group or add to an existing one, with an option to print the generated keyframes for debugging purposes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `floats_strength` | FLOATS | Yes | -1 to ∞ | A single float value or list of float values representing strength values for the keyframes (default: -1) | +| `start_percent` | FLOAT | Yes | 0.0 to 1.0 | The starting percentage position for the first keyframe in the timeline (default: 0.0) | +| `end_percent` | FLOAT | Yes | 0.0 to 1.0 | The ending percentage position for the last keyframe in the timeline (default: 1.0) | +| `print_keyframes` | BOOLEAN | Yes | True/False | When enabled, prints the generated keyframe information to the console (default: False) | +| `prev_hook_kf` | HOOK_KEYFRAMES | No | - | An existing hook keyframe group to add the new keyframes to, or creates a new group if not provided | + +**Note:** The `floats_strength` parameter accepts either a single float value or an iterable list of floats. The keyframes are distributed linearly between `start_percent` and `end_percent` based on the number of strength values provided. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `HOOK_KF` | HOOK_KEYFRAMES | A hook keyframe group containing the newly created keyframes, either as a new group or appended to the input keyframe group | diff --git a/built-in-nodes/CreateHookKeyframesInterpolated.mdx b/built-in-nodes/CreateHookKeyframesInterpolated.mdx new file mode 100644 index 000000000..3652fd940 --- /dev/null +++ b/built-in-nodes/CreateHookKeyframesInterpolated.mdx @@ -0,0 +1,28 @@ +--- +title: "CreateHookKeyframesInterpolated - ComfyUI Built-in Node Documentation" +description: "Creates a sequence of hook keyframes with interpolated strength values between a start and end point. The node generates multiple keyframes that smoothly transition the strength parameter across a ..." +sidebarTitle: "CreateHookKeyframesInterpolated" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesInterpolated/en.md) + +Creates a sequence of hook keyframes with interpolated strength values between a start and end point. The node generates multiple keyframes that smoothly transition the strength parameter across a specified percentage range of the generation process, using various interpolation methods to control the transition curve. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `strength_start` | FLOAT | Yes | 0.0 - 10.0 | The starting strength value for the interpolation sequence (default: 1.0) | +| `strength_end` | FLOAT | Yes | 0.0 - 10.0 | The ending strength value for the interpolation sequence (default: 1.0) | +| `interpolation` | COMBO | Yes | Multiple options available | The interpolation method used to transition between strength values | +| `start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting percentage position in the generation process (default: 0.0) | +| `end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending percentage position in the generation process (default: 1.0) | +| `keyframes_count` | INT | Yes | 2 - 100 | The number of keyframes to generate in the interpolation sequence (default: 5) | +| `print_keyframes` | BOOLEAN | Yes | True/False | Whether to print generated keyframe information to the log (default: False) | +| `prev_hook_kf` | HOOK_KEYFRAMES | No | - | Optional previous hook keyframes group to append to | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `HOOK_KF` | HOOK_KEYFRAMES | The generated hook keyframes group containing the interpolated sequence | diff --git a/built-in-nodes/CreateHookLora.mdx b/built-in-nodes/CreateHookLora.mdx new file mode 100644 index 000000000..14a6aa424 --- /dev/null +++ b/built-in-nodes/CreateHookLora.mdx @@ -0,0 +1,29 @@ +--- +title: "CreateHookLora - ComfyUI Built-in Node Documentation" +description: "The Create Hook LoRA node generates hook objects for applying LoRA (Low-Rank Adaptation) modifications to models. It loads a specified LoRA file and creates hooks that can adjust model and CLIP str..." +sidebarTitle: "CreateHookLora" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLora/en.md) + +The Create Hook LoRA node generates hook objects for applying LoRA (Low-Rank Adaptation) modifications to models. It loads a specified LoRA file and creates hooks that can adjust model and CLIP strengths, then combines these hooks with any existing hooks passed to it. The node efficiently manages LoRA loading by caching previously loaded LoRA files to avoid redundant operations. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `lora_name` | STRING | Yes | Multiple options available | The name of the LoRA file to load from the loras directory | +| `strength_model` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier for model adjustments (default: 1.0) | +| `strength_clip` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier for CLIP adjustments (default: 1.0) | +| `prev_hooks` | HOOKS | No | N/A | Optional existing hook group to combine with the new LoRA hooks | + +**Parameter Constraints:** + +- If both `strength_model` and `strength_clip` are set to 0, the node will skip creating new LoRA hooks and return the existing hooks unchanged +- The node caches the last loaded LoRA file to optimize performance when the same LoRA is used repeatedly + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `HOOKS` | HOOKS | A hook group containing the combined LoRA hooks and any previous hooks | diff --git a/built-in-nodes/CreateHookLoraModelOnly.mdx b/built-in-nodes/CreateHookLoraModelOnly.mdx new file mode 100644 index 000000000..b322d73f6 --- /dev/null +++ b/built-in-nodes/CreateHookLoraModelOnly.mdx @@ -0,0 +1,23 @@ +--- +title: "CreateHookLoraModelOnly - ComfyUI Built-in Node Documentation" +description: "This node creates a LoRA (Low-Rank Adaptation) hook that applies only to the model component, allowing you to modify model behavior without affecting the CLIP component. It loads a LoRA file and ap..." +sidebarTitle: "CreateHookLoraModelOnly" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/en.md) + +This node creates a LoRA (Low-Rank Adaptation) hook that applies only to the model component, allowing you to modify model behavior without affecting the CLIP component. It loads a LoRA file and applies it with a specified strength to the model while keeping the CLIP component unchanged. The node can be chained with previous hooks to create complex modification pipelines. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `lora_name` | STRING | Yes | Multiple options available | The name of the LoRA file to load from the loras folder | +| `strength_model` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier for applying the LoRA to the model component (default: 1.0) | +| `prev_hooks` | HOOKS | No | - | Optional previous hooks to chain with this hook | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `hooks` | HOOKS | The created LoRA hook that can be applied to model processing | diff --git a/built-in-nodes/CreateHookModelAsLora.mdx b/built-in-nodes/CreateHookModelAsLora.mdx new file mode 100644 index 000000000..572dcb0b7 --- /dev/null +++ b/built-in-nodes/CreateHookModelAsLora.mdx @@ -0,0 +1,31 @@ +--- +title: "CreateHookModelAsLora - ComfyUI Built-in Node Documentation" +description: "This node creates a hook model as a LoRA (Low-Rank Adaptation) by loading checkpoint weights and applying strength adjustments to both the model and CLIP components. It allows you to apply LoRA-sty..." +sidebarTitle: "CreateHookModelAsLora" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLora/en.md) + +This node creates a hook model as a LoRA (Low-Rank Adaptation) by loading checkpoint weights and applying strength adjustments to both the model and CLIP components. It allows you to apply LoRA-style modifications to existing models through a hook-based approach, enabling fine-tuning and adaptation without permanent model changes. The node can combine with previous hooks and caches loaded weights for efficiency. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `ckpt_name` | COMBO | Yes | Multiple options available | The checkpoint file to load weights from (select from available checkpoints) | +| `strength_model` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier applied to the model weights (default: 1.0) | +| `strength_clip` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier applied to the CLIP weights (default: 1.0) | +| `prev_hooks` | HOOKS | No | - | Optional previous hooks to combine with the newly created LoRA hooks | + +**Parameter Constraints:** + +- The `ckpt_name` parameter loads checkpoints from the available checkpoints folder +- Both strength parameters accept values from -20.0 to 20.0 with 0.01 step increments +- When `prev_hooks` is not provided, the node creates a new hook group +- The node caches loaded weights to avoid reloading the same checkpoint multiple times + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `HOOKS` | HOOKS | The created LoRA hooks, combined with any previous hooks if provided | diff --git a/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx b/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx new file mode 100644 index 000000000..b48a73f1b --- /dev/null +++ b/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx @@ -0,0 +1,23 @@ +--- +title: "CreateHookModelAsLoraModelOnly - ComfyUI Built-in Node Documentation" +description: "This node creates a hook that applies a LoRA (Low-Rank Adaptation) model to modify only the model component of a neural network. It loads a checkpoint file and applies it with a specified strength ..." +sidebarTitle: "CreateHookModelAsLoraModelOnly" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLoraModelOnly/en.md) + +This node creates a hook that applies a LoRA (Low-Rank Adaptation) model to modify only the model component of a neural network. It loads a checkpoint file and applies it with a specified strength to the model while leaving the CLIP component unchanged. This is an experimental node that extends the functionality of the base CreateHookModelAsLora class. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `ckpt_name` | STRING | Yes | Multiple options available | The checkpoint file to load as a LoRA model. Available options depend on the checkpoints folder contents. | +| `strength_model` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier for applying the LoRA to the model component (default: 1.0) | +| `prev_hooks` | HOOKS | No | - | Optional previous hooks to chain with this hook | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `hooks` | HOOKS | The created hook group containing the LoRA model modification | diff --git a/built-in-nodes/CreateList.mdx b/built-in-nodes/CreateList.mdx new file mode 100644 index 000000000..e91977bd9 --- /dev/null +++ b/built-in-nodes/CreateList.mdx @@ -0,0 +1,23 @@ +--- +title: "CreateList - ComfyUI Built-in Node Documentation" +description: "The Create List node combines multiple inputs into a single, sequential list. It takes any number of inputs of the same data type and concatenates them in the order they are connected. This node is..." +sidebarTitle: "CreateList" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateList/en.md) + +The Create List node combines multiple inputs into a single, sequential list. It takes any number of inputs of the same data type and concatenates them in the order they are connected. This node is useful for preparing batches of data, such as images or text, to be processed by other nodes in a workflow. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `input_*` | Varies | Yes | Any | A variable number of input slots. You can add more inputs by clicking the plus (+) icon. All inputs must be of the same data type (e.g., all IMAGE or all STRING). | + +**Note:** The node will automatically create new input slots as you connect items. All connected inputs must share the same data type for the node to function correctly. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `list` | Varies | A single list containing all the items from the connected inputs, concatenated in the order they were provided. The output data type matches the input data type. | diff --git a/built-in-nodes/CreateVideo.mdx b/built-in-nodes/CreateVideo.mdx new file mode 100644 index 000000000..15a2265c8 --- /dev/null +++ b/built-in-nodes/CreateVideo.mdx @@ -0,0 +1,23 @@ +--- +title: "CreateVideo - ComfyUI Built-in Node Documentation" +description: "The Create Video node generates a video file from a sequence of images. You can specify the playback speed using frames per second and optionally add audio to the video. The node combines your imag..." +sidebarTitle: "CreateVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateVideo/en.md) + +The Create Video node generates a video file from a sequence of images. You can specify the playback speed using frames per second and optionally add audio to the video. The node combines your images into a video format that can be played back with the specified frame rate. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | - | The images to create a video from. | +| `fps` | FLOAT | Yes | 1.0 - 120.0 | The frames per second for the video playback speed (default: 30.0). | +| `audio` | AUDIO | No | - | The audio to add to the video. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file containing the input images and optional audio. | diff --git a/built-in-nodes/CropMask.mdx b/built-in-nodes/CropMask.mdx new file mode 100644 index 000000000..fdeab6f19 --- /dev/null +++ b/built-in-nodes/CropMask.mdx @@ -0,0 +1,23 @@ +--- +title: "CropMask - ComfyUI Built-in Node Documentation" +description: "The CropMask node is designed for cropping a specified area from a given mask. It allows users to define the region of interest by specifying coordinates and dimensions, effectively extracting a po..." +sidebarTitle: "CropMask" +icon: "circle" +--- +The CropMask node is designed for cropping a specified area from a given mask. It allows users to define the region of interest by specifying coordinates and dimensions, effectively extracting a portion of the mask for further processing or analysis. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `mask` | MASK | The mask input represents the mask image to be cropped. It is essential for defining the area to be extracted based on the specified coordinates and dimensions. | +| `x` | INT | The x coordinate specifies the starting point on the horizontal axis from which the cropping should begin. | +| `y` | INT | The y coordinate determines the starting point on the vertical axis for the cropping operation. | +| `width` | INT | Width defines the horizontal extent of the crop area from the starting point. | +| `height` | INT | Height specifies the vertical extent of the crop area from the starting point. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `mask` | MASK | The output is a cropped mask, which is a portion of the original mask defined by the specified coordinates and dimensions. | diff --git a/built-in-nodes/CustomCombo.mdx b/built-in-nodes/CustomCombo.mdx new file mode 100644 index 000000000..78e26fa54 --- /dev/null +++ b/built-in-nodes/CustomCombo.mdx @@ -0,0 +1,23 @@ +--- +title: "CustomCombo - ComfyUI Built-in Node Documentation" +description: "The Custom Combo node allows you to create a custom dropdown menu with your own list of text options. It is a frontend-focused node that provides a backend representation to ensure compatibility wi..." +sidebarTitle: "CustomCombo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CustomCombo/en.md) + +The Custom Combo node allows you to create a custom dropdown menu with your own list of text options. It is a frontend-focused node that provides a backend representation to ensure compatibility within your workflow. When you select an option from the dropdown, the node outputs that text as a string. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `choice` | COMBO | Yes | User-defined | The text option selected from the custom dropdown. The list of available options is defined by the user in the node's frontend interface. | + +**Note:** The validation for this node's input is intentionally disabled. This allows you to define any custom text options you want in the frontend without the backend checking if your selection is from a predefined list. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The text string of the option selected from the custom combo box. | diff --git a/built-in-nodes/DCTestNode.mdx b/built-in-nodes/DCTestNode.mdx new file mode 100644 index 000000000..07c631f8e --- /dev/null +++ b/built-in-nodes/DCTestNode.mdx @@ -0,0 +1,33 @@ +--- +title: "DCTestNode - ComfyUI Built-in Node Documentation" +description: "The DCTestNode is a logic node that returns different types of data based on a user's selection from a dynamic combo box. It acts as a conditional router, where the chosen option determines which i..." +sidebarTitle: "DCTestNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DCTestNode/en.md) + +The DCTestNode is a logic node that returns different types of data based on a user's selection from a dynamic combo box. It acts as a conditional router, where the chosen option determines which input field is active and what type of value the node will output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `combo` | COMBO | Yes | `"option1"`
`"option2"`
`"option3"`
`"option4"` | The main selection that determines which input field is active and what the node will output. | +| `string` | STRING | No | - | A text input field. This field is only active and required when `combo` is set to `"option1"`. | +| `integer` | INT | No | - | A whole number input field. This field is only active and required when `combo` is set to `"option2"`. | +| `image` | IMAGE | No | - | An image input field. This field is only active and required when `combo` is set to `"option3"`. | +| `subcombo` | COMBO | No | `"opt1"`
`"opt2"` | A secondary selection that appears when `combo` is set to `"option4"`. It determines which nested input fields are active. | +| `float_x` | FLOAT | No | - | A decimal number input. This field is only active and required when `combo` is set to `"option4"` and `subcombo` is set to `"opt1"`. | +| `float_y` | FLOAT | No | - | A decimal number input. This field is only active and required when `combo` is set to `"option4"` and `subcombo` is set to `"opt1"`. | +| `mask1` | MASK | No | - | A mask input field. This field is only active when `combo` is set to `"option4"` and `subcombo` is set to `"opt2"`. It is optional. | + +**Parameter Constraints:** + +* The `combo` parameter controls the visibility and requirement of all other input fields. Only the inputs associated with the selected `combo` option will be shown and are required (except for `mask1` which is optional). +* When `combo` is set to `"option4"`, the `subcombo` parameter becomes required and controls a second set of nested inputs (`float_x`/`float_y` or `mask1`). + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | ANYTYPE | The output depends on the selected `combo` option. It can be a STRING (`"option1"`), an INT (`"option2"`), an IMAGE (`"option3"`), or a string representation of the `subcombo` dictionary (`"option4"`). | diff --git a/built-in-nodes/DeprecatedCheckpointLoader.mdx b/built-in-nodes/DeprecatedCheckpointLoader.mdx new file mode 100644 index 000000000..3d343867a --- /dev/null +++ b/built-in-nodes/DeprecatedCheckpointLoader.mdx @@ -0,0 +1,22 @@ +--- +title: "DeprecatedCheckpointLoader - ComfyUI Built-in Node Documentation" +description: "The CheckpointLoader node is designed for advanced loading operations, specifically to load model checkpoints along with their configurations. It facilitates the retrieval of model components neces..." +sidebarTitle: "DeprecatedCheckpointLoader" +icon: "circle" +--- +The CheckpointLoader node is designed for advanced loading operations, specifically to load model checkpoints along with their configurations. It facilitates the retrieval of model components necessary for initializing and running generative models, including configurations and checkpoints from specified directories. + +## Inputs + +| Parameter | Data Type | Description | +|--------------|--------------|-------------| +| `config_name` | COMBO[STRING] | Specifies the name of the configuration file to be used. This is crucial for determining the model's parameters and settings, affecting the model's behavior and performance. | +| `ckpt_name` | COMBO[STRING] | Indicates the name of the checkpoint file to be loaded. This directly influences the state of the model being initialized, impacting its initial weights and biases. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model` | MODEL | Represents the primary model loaded from the checkpoint, ready for further operations or inference. | +| `clip` | CLIP | Provides the CLIP model component, if available and requested, loaded from the checkpoint. | +| `vae` | VAE | Delivers the VAE model component, if available and requested, loaded from the checkpoint. | diff --git a/built-in-nodes/DeprecatedDiffusersLoader.mdx b/built-in-nodes/DeprecatedDiffusersLoader.mdx new file mode 100644 index 000000000..abe52d711 --- /dev/null +++ b/built-in-nodes/DeprecatedDiffusersLoader.mdx @@ -0,0 +1,21 @@ +--- +title: "DeprecatedDiffusersLoader - ComfyUI Built-in Node Documentation" +description: "The DiffusersLoader node is designed for loading models from the diffusers library, specifically handling the loading of UNet, CLIP, and VAE models based on provided model paths. It facilitates the..." +sidebarTitle: "DeprecatedDiffusersLoader" +icon: "circle" +--- +The DiffusersLoader node is designed for loading models from the diffusers library, specifically handling the loading of UNet, CLIP, and VAE models based on provided model paths. It facilitates the integration of these models into the ComfyUI framework, enabling advanced functionalities such as text-to-image generation, image manipulation, and more. + +## Inputs + +| Parameter | Data Type | Description | +|--------------|--------------|-------------| +| `model_path` | COMBO[STRING] | Specifies the path to the model to be loaded. This path is crucial as it determines which model will be utilized for subsequent operations, affecting the output and capabilities of the node. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model` | MODEL | The loaded UNet model, which is part of the output tuple. This model is essential for image synthesis and manipulation tasks within the ComfyUI framework. | +| `clip` | CLIP | The loaded CLIP model, included in the output tuple if requested. This model enables advanced text and image understanding and manipulation capabilities. | +| `vae` | VAE | The loaded VAE model, included in the output tuple if requested. This model is crucial for tasks involving latent space manipulation and image generation. | diff --git a/built-in-nodes/DiffControlNetLoader.mdx b/built-in-nodes/DiffControlNetLoader.mdx new file mode 100644 index 000000000..276288ea4 --- /dev/null +++ b/built-in-nodes/DiffControlNetLoader.mdx @@ -0,0 +1,22 @@ +--- +title: "DiffControlNetLoader - ComfyUI Built-in Node Documentation" +description: "This node will detect models located in the `ComfyUI/models/controlnet` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may ..." +sidebarTitle: "DiffControlNetLoader" +icon: "circle" +--- +This node will detect models located in the `ComfyUI/models/controlnet` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to **refresh the ComfyUI interface** to allow it to read the model files from the corresponding folder. + +The DiffControlNetLoader node is designed for loading differential control networks, which are specialized models that can modify the behavior of another model based on control net specifications. This node allows for the dynamic adjustment of model behaviors by applying differential control nets, facilitating the creation of customized model outputs. + +## Inputs + +| Field | Comfy dtype | Description | +|---------------------|-------------------|---------------------------------------------------------------------------------------------| +| `model` | `MODEL` | The base model to which the differential control net will be applied, allowing for customization of the model's behavior. | +| `control_net_name` | `COMBO[STRING]` | Identifies the specific differential control net to be loaded and applied to the base model for modifying its behavior. | + +## Outputs + +| Field | Comfy dtype | Description | +|----------------|---------------|-------------------------------------------------------------------------------| +| `control_net` | `CONTROL_NET` | A differential control net that has been loaded and is ready to be applied to a base model for behavior modification. | diff --git a/built-in-nodes/DifferentialDiffusion.mdx b/built-in-nodes/DifferentialDiffusion.mdx new file mode 100644 index 000000000..33983f69f --- /dev/null +++ b/built-in-nodes/DifferentialDiffusion.mdx @@ -0,0 +1,22 @@ +--- +title: "DifferentialDiffusion - ComfyUI Built-in Node Documentation" +description: "The Differential Diffusion node modifies the denoising process by applying a binary mask based on timestep thresholds. It creates a mask that blends between the original denoise mask and a threshol..." +sidebarTitle: "DifferentialDiffusion" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/en.md) + +The Differential Diffusion node modifies the denoising process by applying a binary mask based on timestep thresholds. It creates a mask that blends between the original denoise mask and a threshold-based binary mask, allowing controlled adjustment of the diffusion process strength. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to modify | +| `strength` | FLOAT | No | 0.0 - 1.0 | Controls the blending strength between the original denoise mask and the binary threshold mask (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified diffusion model with updated denoise mask function | diff --git a/built-in-nodes/DiffusersLoader.mdx b/built-in-nodes/DiffusersLoader.mdx new file mode 100644 index 000000000..bb79e0ba8 --- /dev/null +++ b/built-in-nodes/DiffusersLoader.mdx @@ -0,0 +1,23 @@ +--- +title: "DiffusersLoader - ComfyUI Built-in Node Documentation" +description: "The DiffusersLoader node loads pre-trained models from the diffusers format. It searches for valid diffusers model directories containing a model_index.json file and loads them as MODEL, CLIP, and ..." +sidebarTitle: "DiffusersLoader" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffusersLoader/en.md) + +The DiffusersLoader node loads pre-trained models from the diffusers format. It searches for valid diffusers model directories containing a model_index.json file and loads them as MODEL, CLIP, and VAE components for use in the pipeline. This node is part of the deprecated loaders category and provides compatibility with Hugging Face diffusers models. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_path` | STRING | Yes | Multiple options available
(auto-populated from diffusers folders) | The path to the diffusers model directory to load. The node automatically scans for valid diffusers models in the configured diffusers folders and lists available options. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MODEL` | MODEL | The loaded model component from the diffusers format | +| `CLIP` | CLIP | The loaded CLIP model component from the diffusers format | +| `VAE` | VAE | The loaded VAE (Variational Autoencoder) component from the diffusers format | diff --git a/built-in-nodes/DisableNoise.mdx b/built-in-nodes/DisableNoise.mdx new file mode 100644 index 000000000..0b3ad0a1a --- /dev/null +++ b/built-in-nodes/DisableNoise.mdx @@ -0,0 +1,21 @@ +--- +title: "DisableNoise - ComfyUI Built-in Node Documentation" +description: "The DisableNoise node provides an empty noise configuration that can be used to disable noise generation in sampling processes. It returns a special noise object that contains no noise data, allowi..." +sidebarTitle: "DisableNoise" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DisableNoise/en.md) + +The DisableNoise node provides an empty noise configuration that can be used to disable noise generation in sampling processes. It returns a special noise object that contains no noise data, allowing other nodes to skip noise-related operations when connected to this output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| *No input parameters* | - | - | - | This node does not require any input parameters. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `NOISE` | NOISE | Returns an empty noise configuration that can be used to disable noise generation in sampling processes. | diff --git a/built-in-nodes/DualCFGGuider.mdx b/built-in-nodes/DualCFGGuider.mdx new file mode 100644 index 000000000..d249e9f18 --- /dev/null +++ b/built-in-nodes/DualCFGGuider.mdx @@ -0,0 +1,27 @@ +--- +title: "DualCFGGuider - ComfyUI Built-in Node Documentation" +description: "The DualCFGGuider node creates a guidance system for dual classifier-free guidance sampling. It combines two positive conditioning inputs with one negative conditioning input, applying different gu..." +sidebarTitle: "DualCFGGuider" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCFGGuider/en.md) + +The DualCFGGuider node creates a guidance system for dual classifier-free guidance sampling. It combines two positive conditioning inputs with one negative conditioning input, applying different guidance scales to each conditioning pair to control the influence of each prompt on the generated output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to use for guidance | +| `cond1` | CONDITIONING | Yes | - | The first positive conditioning input | +| `cond2` | CONDITIONING | Yes | - | The second positive conditioning input | +| `negative` | CONDITIONING | Yes | - | The negative conditioning input | +| `cfg_conds` | FLOAT | Yes | 0.0 - 100.0 | Guidance scale for the first positive conditioning (default: 8.0) | +| `cfg_cond2_negative` | FLOAT | Yes | 0.0 - 100.0 | Guidance scale for the second positive and negative conditioning (default: 8.0) | +| `style` | COMBO | Yes | "regular"
"nested" | The guidance style to apply (default: "regular") | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `GUIDER` | GUIDER | A configured guidance system ready for use with sampling | diff --git a/built-in-nodes/DualCLIPLoader.mdx b/built-in-nodes/DualCLIPLoader.mdx new file mode 100644 index 000000000..c78605c0d --- /dev/null +++ b/built-in-nodes/DualCLIPLoader.mdx @@ -0,0 +1,25 @@ +--- +title: "DualCLIPLoader - ComfyUI Built-in Node Documentation" +description: "The DualCLIPLoader node is designed for loading two CLIP models simultaneously, facilitating operations that require the integration or comparison of features from both models." +sidebarTitle: "DualCLIPLoader" +icon: "circle" +--- +The DualCLIPLoader node is designed for loading two CLIP models simultaneously, facilitating operations that require the integration or comparison of features from both models. + +This node will detect models located in the `ComfyUI/models/text_encoders` folder. + +## Inputs + +| Parameter | Comfy dtype | Description | +| ------------ | --------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `clip_name1` | COMBO[STRING] | Specifies the name of the first CLIP model to be loaded. This parameter is crucial for identifying and retrieving the correct model from a predefined list of available CLIP models. | +| `clip_name2` | COMBO[STRING] | Specifies the name of the second CLIP model to be loaded. This parameter enables the loading of a second distinct CLIP model for comparative or integrative analysis alongside the first model. | +| `type` | `option` | Choose from "sdxl", "sd3", "flux" to adapt to different models. | + +* The order of loading does not affect the output effect + +## Outputs + +| Parameter | Data Type | Description | +| --------- | ----------- | --------------------------------------------------------------------------------------------------------------------- | +| `clip` | CLIP | The output is a combined CLIP model that integrates the features or functionalities of the two specified CLIP models. | diff --git a/built-in-nodes/EasyCache.mdx b/built-in-nodes/EasyCache.mdx new file mode 100644 index 000000000..0fd76a62d --- /dev/null +++ b/built-in-nodes/EasyCache.mdx @@ -0,0 +1,25 @@ +--- +title: "EasyCache - ComfyUI Built-in Node Documentation" +description: "The EasyCache node implements a native caching system for models to improve performance by reusing previously computed steps during the sampling process. It adds EasyCache functionality to a model ..." +sidebarTitle: "EasyCache" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EasyCache/en.md) + +The EasyCache node implements a native caching system for models to improve performance by reusing previously computed steps during the sampling process. It adds EasyCache functionality to a model with configurable thresholds for when to start and stop using the cache during the sampling timeline. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to add EasyCache to. | +| `reuse_threshold` | FLOAT | No | 0.0 - 3.0 | The threshold for reusing cached steps (default: 0.2). | +| `start_percent` | FLOAT | No | 0.0 - 1.0 | The relative sampling step to begin use of EasyCache (default: 0.15). | +| `end_percent` | FLOAT | No | 0.0 - 1.0 | The relative sampling step to end use of EasyCache (default: 0.95). | +| `verbose` | BOOLEAN | No | - | Whether to log verbose information (default: False). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The model with EasyCache functionality added. | diff --git a/built-in-nodes/ElevenLabsAudioIsolation.mdx b/built-in-nodes/ElevenLabsAudioIsolation.mdx new file mode 100644 index 000000000..12b3b6f61 --- /dev/null +++ b/built-in-nodes/ElevenLabsAudioIsolation.mdx @@ -0,0 +1,21 @@ +--- +title: "ElevenLabsAudioIsolation - ComfyUI Built-in Node Documentation" +description: "The ElevenLabs Voice Isolation node removes background noise from an audio file, isolating the vocals or speech. It sends the audio to the ElevenLabs API for processing and returns the cleaned audio." +sidebarTitle: "ElevenLabsAudioIsolation" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md) + +The ElevenLabs Voice Isolation node removes background noise from an audio file, isolating the vocals or speech. It sends the audio to the ElevenLabs API for processing and returns the cleaned audio. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | | Audio to process for background noise removal. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The processed audio with background noise removed. | diff --git a/built-in-nodes/ElevenLabsInstantVoiceClone.mdx b/built-in-nodes/ElevenLabsInstantVoiceClone.mdx new file mode 100644 index 000000000..d43855d0a --- /dev/null +++ b/built-in-nodes/ElevenLabsInstantVoiceClone.mdx @@ -0,0 +1,24 @@ +--- +title: "ElevenLabsInstantVoiceClone - ComfyUI Built-in Node Documentation" +description: "The ElevenLabs Instant Voice Clone node creates a new, unique voice model by analyzing 1 to 8 audio recordings of a person's voice. It sends these samples to the ElevenLabs API, which processes the..." +sidebarTitle: "ElevenLabsInstantVoiceClone" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md) + +The ElevenLabs Instant Voice Clone node creates a new, unique voice model by analyzing 1 to 8 audio recordings of a person's voice. It sends these samples to the ElevenLabs API, which processes them to generate a voice clone that can be used for text-to-speech synthesis. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio_*` | AUDIO | Yes | 1 to 8 files | Audio recordings for voice cloning. You must provide between 1 and 8 audio files. | +| `remove_background_noise` | BOOLEAN | No | True / False | Remove background noise from voice samples using audio isolation. (default: False) | + +**Note:** You must provide at least one audio file, and you can provide up to eight. The node will automatically create input slots for the audio files you add. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `voice` | ELEVENLABS_VOICE | The unique identifier for the newly created cloned voice model. This output can be connected to other ElevenLabs text-to-speech nodes. | diff --git a/built-in-nodes/ElevenLabsSpeechToSpeech.mdx b/built-in-nodes/ElevenLabsSpeechToSpeech.mdx new file mode 100644 index 000000000..d98caf508 --- /dev/null +++ b/built-in-nodes/ElevenLabsSpeechToSpeech.mdx @@ -0,0 +1,27 @@ +--- +title: "ElevenLabsSpeechToSpeech - ComfyUI Built-in Node Documentation" +description: "The ElevenLabs Speech to Speech node transforms an input audio file from one voice to another. It uses the ElevenLabs API to convert speech while preserving the original content and emotional tone ..." +sidebarTitle: "ElevenLabsSpeechToSpeech" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md) + +The ElevenLabs Speech to Speech node transforms an input audio file from one voice to another. It uses the ElevenLabs API to convert speech while preserving the original content and emotional tone of the audio. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `voice` | CUSTOM | Yes | - | Target voice for the transformation. Connect from Voice Selector or Instant Voice Clone. | +| `audio` | AUDIO | Yes | - | Source audio to transform. | +| `stability` | FLOAT | No | 0.0 - 1.0 | Voice stability. Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech (default: 0.5). | +| `model` | DYNAMICCOMBO | No | `eleven_multilingual_sts_v2`
`eleven_english_sts_v2` | Model to use for speech-to-speech transformation. Each option provides a specific set of voice settings (similarity_boost, style, use_speaker_boost, speed). | +| `output_format` | COMBO | No | `"mp3_44100_192"`
`"opus_48000_192"` | Audio output format (default: "mp3_44100_192"). | +| `seed` | INT | No | 0 - 4294967295 | Seed for reproducibility (default: 0). | +| `remove_background_noise` | BOOLEAN | No | - | Remove background noise from input audio using audio isolation (default: False). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The transformed audio file in the specified output format. | diff --git a/built-in-nodes/ElevenLabsSpeechToText.mdx b/built-in-nodes/ElevenLabsSpeechToText.mdx new file mode 100644 index 000000000..78a906b69 --- /dev/null +++ b/built-in-nodes/ElevenLabsSpeechToText.mdx @@ -0,0 +1,34 @@ +--- +title: "ElevenLabsSpeechToText - ComfyUI Built-in Node Documentation" +description: "The ElevenLabs Speech to Text node transcribes audio files into text. It uses ElevenLabs' API to convert spoken words into a written transcript, supporting features like automatic language detectio..." +sidebarTitle: "ElevenLabsSpeechToText" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md) + +The ElevenLabs Speech to Text node transcribes audio files into text. It uses ElevenLabs' API to convert spoken words into a written transcript, supporting features like automatic language detection, identifying different speakers, and tagging non-speech sounds like music or laughter. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | - | Audio to transcribe. | +| `model` | COMBO | Yes | `"scribe_v2"` | Model to use for transcription. Selecting this model reveals additional parameters. | +| `tag_audio_events` | BOOLEAN | No | - | Annotate sounds like (laughter), (music), etc. in transcript. This parameter is revealed when the `"scribe_v2"` model is selected. (default: False) | +| `diarize` | BOOLEAN | No | - | Annotate which speaker is talking. This parameter is revealed when the `"scribe_v2"` model is selected. (default: False) | +| `diarization_threshold` | FLOAT | No | 0.1 - 0.4 | Speaker separation sensitivity. Lower values are more sensitive to speaker changes. This parameter is revealed when the `"scribe_v2"` model is selected and `diarize` is enabled. (default: 0.22) | +| `temperature` | FLOAT | No | 0.0 - 2.0 | Randomness control. 0.0 uses model default. Higher values increase randomness. This parameter is revealed when the `"scribe_v2"` model is selected. (default: 0.0) | +| `timestamps_granularity` | COMBO | No | `"word"`
`"character"`
`"none"` | Timing precision for transcript words. This parameter is revealed when the `"scribe_v2"` model is selected. (default: "word") | +| `language_code` | STRING | No | - | ISO-639-1 or ISO-639-3 language code (e.g., 'en', 'es', 'fra'). Leave empty for automatic detection. (default: "") | +| `num_speakers` | INT | No | 0 - 32 | Maximum number of speakers to predict. Set to 0 for automatic detection. (default: 0) | +| `seed` | INT | No | 0 - 2147483647 | Seed for reproducibility (determinism not guaranteed). (default: 1) | + +**Note:** The `num_speakers` parameter cannot be set to a value greater than 0 when the `diarize` option is enabled. You must either disable `diarize` or set `num_speakers` to 0. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `text` | STRING | The transcribed text from the audio. | +| `language_code` | STRING | The detected language code of the audio. | +| `words_json` | STRING | A JSON-formatted string containing detailed word-level information, including timestamps and speaker labels if enabled. | diff --git a/built-in-nodes/ElevenLabsTextToDialogue.mdx b/built-in-nodes/ElevenLabsTextToDialogue.mdx new file mode 100644 index 000000000..f88216aae --- /dev/null +++ b/built-in-nodes/ElevenLabsTextToDialogue.mdx @@ -0,0 +1,29 @@ +--- +title: "ElevenLabsTextToDialogue - ComfyUI Built-in Node Documentation" +description: "The ElevenLabs Text to Dialogue node generates a multi-speaker audio dialogue from text. It allows you to create a conversation by specifying different text lines and distinct voices for each parti..." +sidebarTitle: "ElevenLabsTextToDialogue" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md) + +The ElevenLabs Text to Dialogue node generates a multi-speaker audio dialogue from text. It allows you to create a conversation by specifying different text lines and distinct voices for each participant. The node sends the dialogue request to the ElevenLabs API and returns the generated audio. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `stability` | FLOAT | No | 0.0 - 1.0 | Voice stability. Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech. (default: 0.5) | +| `apply_text_normalization` | COMBO | No | `"auto"`
`"on"`
`"off"` | Text normalization mode. 'auto' lets the system decide, 'on' always applies normalization, 'off' skips it. | +| `model` | COMBO | No | `"eleven_v3"` | Model to use for dialogue generation. | +| `inputs` | DYNAMICCOMBO | Yes | `"1"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"`
`"10"` | Number of dialogue entries. Selecting a number will generate that many text and voice input fields. | +| `language_code` | STRING | No | - | ISO-639-1 or ISO-639-3 language code (e.g., 'en', 'es', 'fra'). Leave empty for automatic detection. (default: empty) | +| `seed` | INT | No | 0 - 4294967295 | Seed for reproducibility. (default: 1) | +| `output_format` | COMBO | No | `"mp3_44100_192"`
`"opus_48000_192"` | Audio output format. | + +**Note:** The `inputs` parameter is dynamic. When you select a number (e.g., "3"), the node will display three corresponding `text` and `voice` input fields (e.g., `text1`, `voice1`, `text2`, `voice2`, `text3`, `voice3`). Each `text` field must contain at least one character. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The generated multi-speaker dialogue audio in the selected output format. | diff --git a/built-in-nodes/ElevenLabsTextToSoundEffects.mdx b/built-in-nodes/ElevenLabsTextToSoundEffects.mdx new file mode 100644 index 000000000..aff7d5f13 --- /dev/null +++ b/built-in-nodes/ElevenLabsTextToSoundEffects.mdx @@ -0,0 +1,29 @@ +--- +title: "ElevenLabsTextToSoundEffects - ComfyUI Built-in Node Documentation" +description: "The ElevenLabs Text to Sound Effects node generates audio sound effects from a text description. It uses the ElevenLabs API to create sound effects based on your prompt, allowing you to control the..." +sidebarTitle: "ElevenLabsTextToSoundEffects" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md) + +The ElevenLabs Text to Sound Effects node generates audio sound effects from a text description. It uses the ElevenLabs API to create sound effects based on your prompt, allowing you to control the duration, looping behavior, and how closely the sound follows the text. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `text` | STRING | Yes | N/A | Text description of the sound effect to generate. This is a required field. | +| `model` | COMBO | Yes | `"eleven_sfx_v2"` | Model to use for sound effect generation. Selecting this model reveals additional parameters: `duration` (default: 5.0, range: 0.5 to 30.0 seconds), `loop` (default: False), and `prompt_influence` (default: 0.3, range: 0.0 to 1.0). | +| `output_format` | COMBO | Yes | `"mp3_44100_192"`
`"opus_48000_192"` | Audio output format. | + +**Parameter Details:** + +* **`model["duration"]`**: Duration of the generated sound in seconds. Default is 5.0, with a minimum of 0.5 and a maximum of 30.0. +* **`model["loop"]`**: When enabled, creates a smoothly looping sound effect. Default is False. +* **`model["prompt_influence"]`**: Controls how closely the generation follows the text prompt. Higher values make the sound follow the text more closely. Default is 0.3, with a range from 0.0 to 1.0. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The generated sound effect audio file. | diff --git a/built-in-nodes/ElevenLabsTextToSpeech.mdx b/built-in-nodes/ElevenLabsTextToSpeech.mdx new file mode 100644 index 000000000..8088e96f9 --- /dev/null +++ b/built-in-nodes/ElevenLabsTextToSpeech.mdx @@ -0,0 +1,41 @@ +--- +title: "ElevenLabsTextToSpeech - ComfyUI Built-in Node Documentation" +description: "The ElevenLabs Text to Speech node converts written text into spoken audio using the ElevenLabs API. It allows you to select a specific voice and fine-tune various speech characteristics like stabi..." +sidebarTitle: "ElevenLabsTextToSpeech" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md) + +The ElevenLabs Text to Speech node converts written text into spoken audio using the ElevenLabs API. It allows you to select a specific voice and fine-tune various speech characteristics like stability, speed, and style to generate a customized audio output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `voice` | CUSTOM | Yes | N/A | Voice to use for speech synthesis. Connect from Voice Selector or Instant Voice Clone. | +| `text` | STRING | Yes | N/A | The text to convert to speech. | +| `stability` | FLOAT | No | 0.0 - 1.0 | Voice stability. Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech (default: 0.5). | +| `apply_text_normalization` | COMBO | No | `"auto"`
`"on"`
`"off"` | Text normalization mode. 'auto' lets the system decide, 'on' always applies normalization, 'off' skips it. | +| `model` | DYNAMICCOMBO | No | `"eleven_multilingual_v2"`
`"eleven_v3"` | Model to use for text-to-speech. Selecting a model reveals its specific parameters. | +| `language_code` | STRING | No | N/A | ISO-639-1 or ISO-639-3 language code (e.g., 'en', 'es', 'fra'). Leave empty for automatic detection (default: ""). | +| `seed` | INT | No | 0 - 2147483647 | Seed for reproducibility (determinism not guaranteed) (default: 1). | +| `output_format` | COMBO | No | `"mp3_44100_192"`
`"opus_48000_192"` | Audio output format. | + +**Model-Specific Parameters:** +When the `model` parameter is set to `"eleven_multilingual_v2"`, the following additional parameters become available: + +* `speed`: Speech speed. 1.0 is normal, <1.0 slower, >1.0 faster (default: 1.0, range: 0.7 - 1.3). +* `similarity_boost`: Similarity boost. Higher values make the voice more similar to the original (default: 0.75, range: 0.0 - 1.0). +* `use_speaker_boost`: Boost similarity to the original speaker voice (default: False). +* `style`: Style exaggeration. Higher values increase stylistic expression but may reduce stability (default: 0.0, range: 0.0 - 0.2). + +When the `model` parameter is set to `"eleven_v3"`, the following additional parameters become available: + +* `speed`: Speech speed. 1.0 is normal, <1.0 slower, >1.0 faster (default: 1.0, range: 0.7 - 1.3). +* `similarity_boost`: Similarity boost. Higher values make the voice more similar to the original (default: 0.75, range: 0.0 - 1.0). + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The generated audio from the text-to-speech conversion. | diff --git a/built-in-nodes/ElevenLabsVoiceSelector.mdx b/built-in-nodes/ElevenLabsVoiceSelector.mdx new file mode 100644 index 000000000..d213d924e --- /dev/null +++ b/built-in-nodes/ElevenLabsVoiceSelector.mdx @@ -0,0 +1,21 @@ +--- +title: "ElevenLabsVoiceSelector - ComfyUI Built-in Node Documentation" +description: "The ElevenLabs Voice Selector node allows you to choose a specific voice from a predefined list of ElevenLabs text-to-speech voices. It takes a voice name as input and outputs the corresponding voi..." +sidebarTitle: "ElevenLabsVoiceSelector" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md) + +The ElevenLabs Voice Selector node allows you to choose a specific voice from a predefined list of ElevenLabs text-to-speech voices. It takes a voice name as input and outputs the corresponding voice identifier needed for audio generation. This node simplifies the process of selecting a compatible voice for use with other ElevenLabs audio nodes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `voice` | STRING | Yes | `"Adam"`
`"Antoni"`
`"Arnold"`
`"Bella"`
`"Domi"`
`"Elli"`
`"Josh"`
`"Rachel"`
`"Sam"` | Choose a voice from the predefined ElevenLabs voices. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `voice` | STRING | The unique identifier for the selected ElevenLabs voice, which can be passed to other nodes for text-to-speech generation. | diff --git a/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx b/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx new file mode 100644 index 000000000..2a1e3de58 --- /dev/null +++ b/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx @@ -0,0 +1,22 @@ +--- +title: "EmptyAceStep1.5LatentAudio - ComfyUI Built-in Node Documentation" +description: "The Empty Ace Step 1.5 Latent Audio node creates an empty latent tensor designed for audio processing. It generates a silent audio latent of a specified duration and batch size, which can be used a..." +sidebarTitle: "EmptyAceStep1.5LatentAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/en.md) + +The Empty Ace Step 1.5 Latent Audio node creates an empty latent tensor designed for audio processing. It generates a silent audio latent of a specified duration and batch size, which can be used as a starting point for audio generation workflows in ComfyUI. The node calculates the latent length based on the input seconds and a fixed sample rate. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `seconds` | FLOAT | No | 1.0 - 1000.0 | The duration of the audio to generate, in seconds (default: 120.0). | +| `batch_size` | INT | No | 1 - 4096 | The number of latent images in the batch (default: 1). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `LATENT` | LATENT | An empty latent tensor representing silent audio, with a type identifier of "audio". | diff --git a/built-in-nodes/EmptyAceStepLatentAudio.mdx b/built-in-nodes/EmptyAceStepLatentAudio.mdx new file mode 100644 index 000000000..843359851 --- /dev/null +++ b/built-in-nodes/EmptyAceStepLatentAudio.mdx @@ -0,0 +1,22 @@ +--- +title: "EmptyAceStepLatentAudio - ComfyUI Built-in Node Documentation" +description: "The EmptyAceStepLatentAudio node creates empty latent audio samples of a specified duration. It generates a batch of silent audio latents with zeros, where the length is calculated based on the inp..." +sidebarTitle: "EmptyAceStepLatentAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/en.md) + +The EmptyAceStepLatentAudio node creates empty latent audio samples of a specified duration. It generates a batch of silent audio latents with zeros, where the length is calculated based on the input seconds and audio processing parameters. This node is useful for initializing audio processing workflows that require latent representations. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `seconds` | FLOAT | No | 1.0 - 1000.0 | The duration of the audio in seconds (default: 120.0) | +| `batch_size` | INT | No | 1 - 4096 | The number of latent images in the batch (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | LATENT | Returns empty latent audio samples with zeros | diff --git a/built-in-nodes/EmptyAudio.mdx b/built-in-nodes/EmptyAudio.mdx new file mode 100644 index 000000000..27df756db --- /dev/null +++ b/built-in-nodes/EmptyAudio.mdx @@ -0,0 +1,23 @@ +--- +title: "EmptyAudio - ComfyUI Built-in Node Documentation" +description: "The EmptyAudio node generates a silent audio clip with specified duration, sample rate, and channel configuration. It creates a waveform containing all zeros, producing complete silence for the giv..." +sidebarTitle: "EmptyAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAudio/en.md) + +The EmptyAudio node generates a silent audio clip with specified duration, sample rate, and channel configuration. It creates a waveform containing all zeros, producing complete silence for the given duration. This node is useful for creating placeholder audio or generating silent segments in audio workflows. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `duration` | FLOAT | Yes | 0.0 to 1.8446744073709552e+19 | Duration of the empty audio clip in seconds (default: 60.0) | +| `sample_rate` | INT | Yes | - | Sample rate of the empty audio clip (default: 44100) | +| `channels` | INT | Yes | 1 to 2 | Number of audio channels (1 for mono, 2 for stereo) (default: 2) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `AUDIO` | AUDIO | The generated silent audio clip containing waveform data and sample rate information | diff --git a/built-in-nodes/EmptyChromaRadianceLatentImage.mdx b/built-in-nodes/EmptyChromaRadianceLatentImage.mdx new file mode 100644 index 000000000..21a4cb973 --- /dev/null +++ b/built-in-nodes/EmptyChromaRadianceLatentImage.mdx @@ -0,0 +1,23 @@ +--- +title: "EmptyChromaRadianceLatentImage - ComfyUI Built-in Node Documentation" +description: "The EmptyChromaRadianceLatentImage node creates a blank latent image with specified dimensions for use in chroma radiance workflows. It generates a tensor filled with zeros that serves as a startin..." +sidebarTitle: "EmptyChromaRadianceLatentImage" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/en.md) + +The EmptyChromaRadianceLatentImage node creates a blank latent image with specified dimensions for use in chroma radiance workflows. It generates a tensor filled with zeros that serves as a starting point for latent space operations. The node allows you to define the width, height, and batch size of the empty latent image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the latent image in pixels (default: 1024, must be divisible by 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the latent image in pixels (default: 1024, must be divisible by 16) | +| `batch_size` | INT | No | 1 to 4096 | The number of latent images to generate in a batch (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `samples` | LATENT | The generated empty latent image tensor with specified dimensions | diff --git a/built-in-nodes/EmptyCosmosLatentVideo.mdx b/built-in-nodes/EmptyCosmosLatentVideo.mdx new file mode 100644 index 000000000..a084ae3b2 --- /dev/null +++ b/built-in-nodes/EmptyCosmosLatentVideo.mdx @@ -0,0 +1,24 @@ +--- +title: "EmptyCosmosLatentVideo - ComfyUI Built-in Node Documentation" +description: "The EmptyCosmosLatentVideo node creates an empty latent video tensor with specified dimensions. It generates a zero-filled latent representation that can be used as a starting point for video gener..." +sidebarTitle: "EmptyCosmosLatentVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/en.md) + +The EmptyCosmosLatentVideo node creates an empty latent video tensor with specified dimensions. It generates a zero-filled latent representation that can be used as a starting point for video generation workflows, with configurable width, height, length, and batch size parameters. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the latent video in pixels (default: 1280, must be divisible by 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the latent video in pixels (default: 704, must be divisible by 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the latent video (default: 121) | +| `batch_size` | INT | No | 1 to 4096 | The number of latent videos to generate in a batch (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `samples` | LATENT | The generated empty latent video tensor with zero values | diff --git a/built-in-nodes/EmptyFlux2LatentImage.mdx b/built-in-nodes/EmptyFlux2LatentImage.mdx new file mode 100644 index 000000000..f81934103 --- /dev/null +++ b/built-in-nodes/EmptyFlux2LatentImage.mdx @@ -0,0 +1,25 @@ +--- +title: "EmptyFlux2LatentImage - ComfyUI Built-in Node Documentation" +description: "The EmptyFlux2LatentImage node creates a blank, empty latent representation. It generates a tensor filled with zeros, which serves as a starting point for the Flux model's denoising process. The di..." +sidebarTitle: "EmptyFlux2LatentImage" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/en.md) + +The EmptyFlux2LatentImage node creates a blank, empty latent representation. It generates a tensor filled with zeros, which serves as a starting point for the Flux model's denoising process. The dimensions of the latent are determined by the input width and height, scaled down by a factor of 16. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 16 to 8192 | The width of the final image to generate. The latent width will be this value divided by 16. The default value is 1024. | +| `height` | INT | Yes | 16 to 8192 | The height of the final image to generate. The latent height will be this value divided by 16. The default value is 1024. | +| `batch_size` | INT | No | 1 to 4096 | The number of latent samples to generate in a single batch. The default value is 1. | + +**Note:** The `width` and `height` inputs must be divisible by 16, as the node internally divides them by this factor to create the latent dimensions. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `samples` | LATENT | A latent tensor filled with zeros. The shape is `[batch_size, 128, height // 16, width // 16]`. | diff --git a/built-in-nodes/EmptyHunyuanImageLatent.mdx b/built-in-nodes/EmptyHunyuanImageLatent.mdx new file mode 100644 index 000000000..b1d8b0699 --- /dev/null +++ b/built-in-nodes/EmptyHunyuanImageLatent.mdx @@ -0,0 +1,23 @@ +--- +title: "EmptyHunyuanImageLatent - ComfyUI Built-in Node Documentation" +description: "The EmptyHunyuanImageLatent node creates an empty latent tensor with specific dimensions for use with Hunyuan image generation models. It generates a blank starting point that can be processed thro..." +sidebarTitle: "EmptyHunyuanImageLatent" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/en.md) + +The EmptyHunyuanImageLatent node creates an empty latent tensor with specific dimensions for use with Hunyuan image generation models. It generates a blank starting point that can be processed through subsequent nodes in the workflow. The node allows you to specify the width, height, and batch size of the latent space. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 64 to MAX_RESOLUTION | The width of the generated latent image in pixels (default: 2048, step: 32) | +| `height` | INT | Yes | 64 to MAX_RESOLUTION | The height of the generated latent image in pixels (default: 2048, step: 32) | +| `batch_size` | INT | Yes | 1 to 4096 | The number of latent samples to generate in a batch (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `LATENT` | LATENT | An empty latent tensor with the specified dimensions for Hunyuan image processing | diff --git a/built-in-nodes/EmptyHunyuanLatentVideo.mdx b/built-in-nodes/EmptyHunyuanLatentVideo.mdx new file mode 100644 index 000000000..b6f1f2337 --- /dev/null +++ b/built-in-nodes/EmptyHunyuanLatentVideo.mdx @@ -0,0 +1,22 @@ +--- +title: "EmptyHunyuanLatentVideo - ComfyUI Built-in Node Documentation" +description: "The `EmptyHunyuanLatentVideo` node is similar to the `EmptyLatentImage` node. You can consider it as a blank canvas for video generation, where width, height, and length define the properties of th..." +sidebarTitle: "EmptyHunyuanLatentVideo" +icon: "circle" +--- +The `EmptyHunyuanLatentVideo` node is similar to the `EmptyLatentImage` node. You can consider it as a blank canvas for video generation, where width, height, and length define the properties of the canvas, and the batch size determines the number of canvases to create. This node creates empty canvases ready for subsequent video generation tasks. + +## Inputs + +| Parameter | Comfy Type | Description | +| ----------- | ---------- | ------------------------------------------------------------------------------------------ | +| `width` | `INT` | Video width, default 848, minimum 16, maximum `nodes.MAX_RESOLUTION`, step size 16. | +| `height` | `INT` | Video height, default 480, minimum 16, maximum `nodes.MAX_RESOLUTION`, step size 16. | +| `length` | `INT` | Video length, default 25, minimum 1, maximum `nodes.MAX_RESOLUTION`, step size 4. | +| `batch_size`| `INT` | Batch size, default 1, minimum 1, maximum 4096. | + +## Outputs + +| Parameter | Comfy Type | Description | +| --------- | ---------- | ----------------------------------------------------------------------------------------- | +| `samples` | `LATENT` | Generated latent video samples containing zero tensors, ready for processing and generation tasks. | diff --git a/built-in-nodes/EmptyHunyuanVideo15Latent.mdx b/built-in-nodes/EmptyHunyuanVideo15Latent.mdx new file mode 100644 index 000000000..6f4e12e5d --- /dev/null +++ b/built-in-nodes/EmptyHunyuanVideo15Latent.mdx @@ -0,0 +1,26 @@ +--- +title: "EmptyHunyuanVideo15Latent - ComfyUI Built-in Node Documentation" +description: "This node creates an empty latent tensor specifically formatted for use with the HunyuanVideo 1.5 model. It generates a blank starting point for video generation by allocating a tensor of zeros wit..." +sidebarTitle: "EmptyHunyuanVideo15Latent" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/en.md) + +This node creates an empty latent tensor specifically formatted for use with the HunyuanVideo 1.5 model. It generates a blank starting point for video generation by allocating a tensor of zeros with the correct channel count and spatial dimensions for the model's latent space. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | - | The width of the video frame in pixels. | +| `height` | INT | Yes | - | The height of the video frame in pixels. | +| `length` | INT | Yes | - | The number of frames in the video sequence. | +| `batch_size` | INT | No | - | The number of video samples to generate in a batch (default: 1). | + +**Note:** The spatial dimensions of the generated latent tensor are calculated by dividing the input `width` and `height` by 16. The temporal dimension (frames) is calculated as `((length - 1) // 4) + 1`. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `samples` | LATENT | An empty latent tensor with dimensions suitable for the HunyuanVideo 1.5 model. The tensor has a shape of `[batch_size, 32, frames, height//16, width//16]`. | diff --git a/built-in-nodes/EmptyImage.mdx b/built-in-nodes/EmptyImage.mdx new file mode 100644 index 000000000..82a5ca834 --- /dev/null +++ b/built-in-nodes/EmptyImage.mdx @@ -0,0 +1,55 @@ +--- +title: "EmptyImage - ComfyUI Built-in Node Documentation" +description: "Documentation for EmptyImage node." +sidebarTitle: "EmptyImage" +icon: "circle" +--- +## Function Description + +The EmptyImage node is used to create blank images with specified dimensions and colors. It can generate solid-color background images, commonly used as starting points or background images for image processing workflows. + +## Working Principle + +Just like a painter preparing a blank canvas before starting to create, the EmptyImage node provides you with a "digital canvas". You can specify the canvas size (width and height), choose the base color of the canvas, and even prepare multiple canvases of the same specifications at once. This node is like an intelligent art supply store that can create standardized canvases that perfectly meet your size and color requirements. + +## Inputs + +| Parameter Name | Data Type | Description | +|----------------|-----------|-------------| +| `width` | INT | Sets the width of the generated image (in pixels), determining the horizontal dimensions of the canvas | +| `height` | INT | Sets the height of the generated image (in pixels), determining the vertical dimensions of the canvas | +| `batch_size` | INT | The number of images to generate at once, used for batch creation of images with the same specifications | +| `color` | INT | The background color of the image. You can input hexadecimal color settings, which will be automatically converted to decimal | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The generated blank image tensor, formatted as [batch_size, height, width, 3], containing RGB three color channels | + +## Common Color Reference Values + +Since the current color input for this node is not user-friendly, with all color values being converted to decimal, here are some common color values that can be used directly for quick application. + +| Color Name | Hexadecimal Value | +|------------|-------------------| +| Black | 0x000000 | +| White | 0xFFFFFF | +| Red | 0xFF0000 | +| Green | 0x00FF00 | +| Blue | 0x0000FF | +| Yellow | 0xFFFF00 | +| Cyan | 0x00FFFF | +| Magenta | 0xFF00FF | +| Orange | 0xFF8000 | +| Purple | 0x8000FF | +| Pink | 0xFF80C0 | +| Brown | 0x8B4513 | +| Dark Gray | 0x404040 | +| Light Gray | 0xC0C0C0 | +| Navy Blue | 0x000080 | +| Dark Green | 0x008000 | +| Dark Red | 0x800000 | +| Gold | 0xFFD700 | +| Silver | 0xC0C0C0 | +| Beige | 0xF5F5DC | diff --git a/built-in-nodes/EmptyLTXVLatentVideo.mdx b/built-in-nodes/EmptyLTXVLatentVideo.mdx new file mode 100644 index 000000000..63fadf14f --- /dev/null +++ b/built-in-nodes/EmptyLTXVLatentVideo.mdx @@ -0,0 +1,24 @@ +--- +title: "EmptyLTXVLatentVideo - ComfyUI Built-in Node Documentation" +description: "The EmptyLTXVLatentVideo node creates an empty latent tensor for video processing. It generates a blank starting point with specified dimensions that can be used as input for video generation workf..." +sidebarTitle: "EmptyLTXVLatentVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/en.md) + +The EmptyLTXVLatentVideo node creates an empty latent tensor for video processing. It generates a blank starting point with specified dimensions that can be used as input for video generation workflows. The node produces a zero-filled latent representation with the configured width, height, length, and batch size. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 64 to MAX_RESOLUTION | The width of the latent video tensor (default: 768, step: 32) | +| `height` | INT | Yes | 64 to MAX_RESOLUTION | The height of the latent video tensor (default: 512, step: 32) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the latent video (default: 97, step: 8) | +| `batch_size` | INT | No | 1 to 4096 | The number of latent videos to generate in a batch (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `samples` | LATENT | The generated empty latent tensor with zero values in the specified dimensions | diff --git a/built-in-nodes/EmptyLatentAudio.mdx b/built-in-nodes/EmptyLatentAudio.mdx new file mode 100644 index 000000000..9d6150960 --- /dev/null +++ b/built-in-nodes/EmptyLatentAudio.mdx @@ -0,0 +1,22 @@ +--- +title: "EmptyLatentAudio - ComfyUI Built-in Node Documentation" +description: "The EmptyLatentAudio node creates empty latent tensors for audio processing. It generates a blank audio latent representation with specified duration and batch size, which can be used as input for ..." +sidebarTitle: "EmptyLatentAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentAudio/en.md) + +The EmptyLatentAudio node creates empty latent tensors for audio processing. It generates a blank audio latent representation with specified duration and batch size, which can be used as input for audio generation or processing workflows. The node calculates the appropriate latent dimensions based on the audio duration and sample rate. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `seconds` | FLOAT | Yes | 1.0 - 1000.0 | The duration of the audio in seconds (default: 47.6) | +| `batch_size` | INT | Yes | 1 - 4096 | The number of latent images in the batch (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `LATENT` | LATENT | Returns an empty latent tensor for audio processing with specified duration and batch size | diff --git a/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx b/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx new file mode 100644 index 000000000..ae78c181b --- /dev/null +++ b/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx @@ -0,0 +1,22 @@ +--- +title: "EmptyLatentHunyuan3Dv2 - ComfyUI Built-in Node Documentation" +description: "The EmptyLatentHunyuan3Dv2 node creates blank latent tensors specifically formatted for Hunyuan3Dv2 3D generation models. It generates empty latent spaces with the correct dimensions and structure ..." +sidebarTitle: "EmptyLatentHunyuan3Dv2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/en.md) + +The EmptyLatentHunyuan3Dv2 node creates blank latent tensors specifically formatted for Hunyuan3Dv2 3D generation models. It generates empty latent spaces with the correct dimensions and structure required by the Hunyuan3Dv2 architecture, allowing you to start 3D generation workflows from scratch. The node produces latent tensors filled with zeros that serve as the foundation for subsequent 3D generation processes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `resolution` | INT | Yes | 1 - 8192 | The resolution dimension for the latent space (default: 3072) | +| `batch_size` | INT | Yes | 1 - 4096 | The number of latent images in the batch (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `LATENT` | LATENT | Returns a latent tensor containing empty samples formatted for Hunyuan3Dv2 3D generation | diff --git a/built-in-nodes/EmptyLatentImage.mdx b/built-in-nodes/EmptyLatentImage.mdx new file mode 100644 index 000000000..7932c8f9a --- /dev/null +++ b/built-in-nodes/EmptyLatentImage.mdx @@ -0,0 +1,21 @@ +--- +title: "EmptyLatentImage - ComfyUI Built-in Node Documentation" +description: "The `EmptyLatentImage` node is designed to generate a blank latent space representation with specified dimensions and batch size. This node serves as a foundational step in generating or manipulati..." +sidebarTitle: "EmptyLatentImage" +icon: "circle" +--- +The `EmptyLatentImage` node is designed to generate a blank latent space representation with specified dimensions and batch size. This node serves as a foundational step in generating or manipulating images in latent space, providing a starting point for further image synthesis or modification processes. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `width` | `INT` | Specifies the width of the latent image to be generated. This parameter directly influences the spatial dimensions of the resulting latent representation. | +| `height` | `INT` | Determines the height of the latent image to be generated. This parameter is crucial for defining the spatial dimensions of the latent space representation. | +| `batch_size` | `INT` | Controls the number of latent images to be generated in a single batch. This allows for the generation of multiple latent representations simultaneously, facilitating batch processing. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The output is a tensor representing a batch of blank latent images, serving as a base for further image generation or manipulation in latent space. | diff --git a/built-in-nodes/EmptyMochiLatentVideo.mdx b/built-in-nodes/EmptyMochiLatentVideo.mdx new file mode 100644 index 000000000..c518a63cb --- /dev/null +++ b/built-in-nodes/EmptyMochiLatentVideo.mdx @@ -0,0 +1,26 @@ +--- +title: "EmptyMochiLatentVideo - ComfyUI Built-in Node Documentation" +description: "The EmptyMochiLatentVideo node creates an empty latent video tensor with specified dimensions. It generates a zero-filled latent representation that can be used as a starting point for video genera..." +sidebarTitle: "EmptyMochiLatentVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/en.md) + +The EmptyMochiLatentVideo node creates an empty latent video tensor with specified dimensions. It generates a zero-filled latent representation that can be used as a starting point for video generation workflows. The node allows you to define the width, height, length, and batch size for the latent video tensor. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the latent video in pixels (default: 848, must be divisible by 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the latent video in pixels (default: 480, must be divisible by 16) | +| `length` | INT | Yes | 7 to MAX_RESOLUTION | The number of frames in the latent video (default: 25) | +| `batch_size` | INT | No | 1 to 4096 | The number of latent videos to generate in a batch (default: 1) | + +**Note:** The actual latent dimensions are calculated as width/8 and height/8, and the temporal dimension is calculated as ((length - 1) // 6) + 1. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `samples` | LATENT | An empty latent video tensor with the specified dimensions, containing all zeros | diff --git a/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx b/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx new file mode 100644 index 000000000..4e0057446 --- /dev/null +++ b/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx @@ -0,0 +1,26 @@ +--- +title: "EmptyQwenImageLayeredLatentImage - ComfyUI Built-in Node Documentation" +description: "The Empty Qwen Image Layered Latent node creates a blank, multi-layered latent representation for use with Qwen image models. It generates a tensor filled with zeros, structured with a specified nu..." +sidebarTitle: "EmptyQwenImageLayeredLatentImage" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/en.md) + +The Empty Qwen Image Layered Latent node creates a blank, multi-layered latent representation for use with Qwen image models. It generates a tensor filled with zeros, structured with a specified number of layers, batch size, and spatial dimensions. This empty latent serves as a starting point for subsequent image generation or manipulation workflows. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the latent image to create. The value must be divisible by 16. (default: 640) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the latent image to create. The value must be divisible by 16. (default: 640) | +| `layers` | INT | Yes | 0 to MAX_RESOLUTION | The number of additional layers to add to the latent structure. This defines the depth of the latent representation. (default: 3) | +| `batch_size` | INT | No | 1 to 4096 | The number of latent samples to generate in a batch. (default: 1) | + +**Note:** The `width` and `height` parameters are internally divided by 8 to determine the spatial dimensions of the output latent tensor. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `samples` | LATENT | A latent tensor filled with zeros. Its shape is `[batch_size, 16, layers + 1, height // 8, width // 8]`. | diff --git a/built-in-nodes/EmptySD3LatentImage.mdx b/built-in-nodes/EmptySD3LatentImage.mdx new file mode 100644 index 000000000..40ae7d48c --- /dev/null +++ b/built-in-nodes/EmptySD3LatentImage.mdx @@ -0,0 +1,23 @@ +--- +title: "EmptySD3LatentImage - ComfyUI Built-in Node Documentation" +description: "The EmptySD3LatentImage node creates a blank latent image tensor specifically formatted for Stable Diffusion 3 models. It generates a tensor filled with zeros that has the correct dimensions and st..." +sidebarTitle: "EmptySD3LatentImage" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptySD3LatentImage/en.md) + +The EmptySD3LatentImage node creates a blank latent image tensor specifically formatted for Stable Diffusion 3 models. It generates a tensor filled with zeros that has the correct dimensions and structure expected by SD3 pipelines. This is commonly used as a starting point for image generation workflows. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 16 to MAX_RESOLUTION (step: 16) | The width of the output latent image in pixels (default: 1024) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION (step: 16) | The height of the output latent image in pixels (default: 1024) | +| `batch_size` | INT | Yes | 1 to 4096 | The number of latent images to generate in a batch (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `LATENT` | LATENT | A latent tensor containing blank samples with SD3-compatible dimensions | diff --git a/built-in-nodes/Epsilon Scaling.mdx b/built-in-nodes/Epsilon Scaling.mdx new file mode 100644 index 000000000..bfd9d7e68 --- /dev/null +++ b/built-in-nodes/Epsilon Scaling.mdx @@ -0,0 +1,22 @@ +--- +title: "Epsilon Scaling - ComfyUI Built-in Node Documentation" +description: "This node implements the Epsilon Scaling method from the research paper \"Elucidating the Exposure Bias in Diffusion Models.\" It works by scaling the predicted noise during the sampling process to h..." +sidebarTitle: "Epsilon Scaling" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon%20Scaling/en.md) + +This node implements the Epsilon Scaling method from the research paper "Elucidating the Exposure Bias in Diffusion Models." It works by scaling the predicted noise during the sampling process to help reduce exposure bias, which can lead to improved quality in the generated images. This implementation uses the "uniform schedule" recommended by the paper. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to which the epsilon scaling patch will be applied. | +| `scaling_factor` | FLOAT | No | 0.5 - 1.5 | The factor by which the predicted noise is scaled. A value greater than 1.0 reduces the noise, while a value less than 1.0 increases it (default: 1.005). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | A patched version of the input model with the epsilon scaling function applied to its sampling process. | diff --git a/built-in-nodes/EpsilonScaling.mdx b/built-in-nodes/EpsilonScaling.mdx new file mode 100644 index 000000000..66635e213 --- /dev/null +++ b/built-in-nodes/EpsilonScaling.mdx @@ -0,0 +1,22 @@ +--- +title: "EpsilonScaling - ComfyUI Built-in Node Documentation" +description: "Implements the Epsilon Scaling method from the research paper \"Elucidating the Exposure Bias in Diffusion Models.\" This method improves sample quality by scaling the predicted noise during the samp..." +sidebarTitle: "EpsilonScaling" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EpsilonScaling/en.md) + +Implements the Epsilon Scaling method from the research paper "Elucidating the Exposure Bias in Diffusion Models." This method improves sample quality by scaling the predicted noise during the sampling process. It uses a uniform schedule to mitigate exposure bias in diffusion models. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply epsilon scaling to | +| `scaling_factor` | FLOAT | No | 0.5 - 1.5 | The factor used to scale the predicted noise (default: 1.005) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The model with epsilon scaling applied | diff --git a/built-in-nodes/ExponentialScheduler.mdx b/built-in-nodes/ExponentialScheduler.mdx new file mode 100644 index 000000000..435832f2d --- /dev/null +++ b/built-in-nodes/ExponentialScheduler.mdx @@ -0,0 +1,21 @@ +--- +title: "ExponentialScheduler - ComfyUI Built-in Node Documentation" +description: "The `ExponentialScheduler` node is designed to generate a sequence of sigma values following an exponential schedule for diffusion sampling processes. It provides a customizable approach to control..." +sidebarTitle: "ExponentialScheduler" +icon: "circle" +--- +The `ExponentialScheduler` node is designed to generate a sequence of sigma values following an exponential schedule for diffusion sampling processes. It provides a customizable approach to control the noise levels applied at each step of the diffusion process, allowing for fine-tuning of the sampling behavior. + +## Inputs + +| Parameter | Data Type | Description | +|-------------|-------------|---------------------------------------------------------------------------------------------| +| `steps` | INT | Specifies the number of steps in the diffusion process. It influences the length of the generated sigma sequence and thus the granularity of the noise application. | +| `sigma_max` | FLOAT | Defines the maximum sigma value, setting the upper limit of noise intensity in the diffusion process. It plays a crucial role in determining the range of noise levels applied. | +| `sigma_min` | FLOAT | Sets the minimum sigma value, establishing the lower boundary of noise intensity. This parameter helps in fine-tuning the starting point of the noise application. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|---------------------------------------------------------------------------------------------| +| `sigmas` | SIGMAS | A sequence of sigma values generated according to the exponential schedule. These values are used to control the noise levels at each step of the diffusion process. | diff --git a/built-in-nodes/ExtendIntermediateSigmas.mdx b/built-in-nodes/ExtendIntermediateSigmas.mdx new file mode 100644 index 000000000..84ab02fde --- /dev/null +++ b/built-in-nodes/ExtendIntermediateSigmas.mdx @@ -0,0 +1,27 @@ +--- +title: "ExtendIntermediateSigmas - ComfyUI Built-in Node Documentation" +description: "The ExtendIntermediateSigmas node takes an existing sequence of sigma values and inserts additional intermediate sigma values between them. It allows you to specify how many extra steps to add, the..." +sidebarTitle: "ExtendIntermediateSigmas" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/en.md) + +The ExtendIntermediateSigmas node takes an existing sequence of sigma values and inserts additional intermediate sigma values between them. It allows you to specify how many extra steps to add, the spacing method for interpolation, and optional start and end sigma boundaries to control where the extension occurs within the sigma sequence. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `sigmas` | SIGMAS | Yes | - | The input sigma sequence to extend with intermediate values | +| `steps` | INT | Yes | 1-100 | Number of intermediate steps to insert between existing sigmas (default: 2) | +| `start_at_sigma` | FLOAT | Yes | -1.0 to 20000.0 | Upper sigma boundary for extension - only extend sigmas below this value (default: -1.0, which means infinity) | +| `end_at_sigma` | FLOAT | Yes | 0.0 to 20000.0 | Lower sigma boundary for extension - only extend sigmas above this value (default: 12.0) | +| `spacing` | COMBO | Yes | "linear"
"cosine"
"sine" | The interpolation method for spacing the intermediate sigma values | + +**Note:** The node only inserts intermediate sigmas between existing sigma pairs where both the current sigma is less than or equal to `start_at_sigma` and greater than or equal to `end_at_sigma`. When `start_at_sigma` is set to -1.0, it's treated as infinity, meaning only the `end_at_sigma` lower boundary applies. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sigmas` | SIGMAS | The extended sigma sequence with additional intermediate values inserted | diff --git a/built-in-nodes/FeatherMask.mdx b/built-in-nodes/FeatherMask.mdx new file mode 100644 index 000000000..1bc3ca5f0 --- /dev/null +++ b/built-in-nodes/FeatherMask.mdx @@ -0,0 +1,23 @@ +--- +title: "FeatherMask - ComfyUI Built-in Node Documentation" +description: "The `FeatherMask` node applies a feathering effect to the edges of a given mask, smoothly transitioning the mask's edges by adjusting their opacity based on specified distances from each edge. This..." +sidebarTitle: "FeatherMask" +icon: "circle" +--- +The `FeatherMask` node applies a feathering effect to the edges of a given mask, smoothly transitioning the mask's edges by adjusting their opacity based on specified distances from each edge. This creates a softer, more blended edge effect. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|--------------|-------------| +| `mask` | MASK | The mask to which the feathering effect will be applied. It determines the area of the image that will be affected by the feathering. | +| `left` | INT | Specifies the distance from the left edge within which the feathering effect will be applied. | +| `top` | INT | Specifies the distance from the top edge within which the feathering effect will be applied. | +| `right` | INT | Specifies the distance from the right edge within which the feathering effect will be applied. | +| `bottom` | INT | Specifies the distance from the bottom edge within which the feathering effect will be applied. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|--------------|-------------| +| `mask` | MASK | The output is a modified version of the input mask with a feathering effect applied to its edges. | diff --git a/built-in-nodes/FlipSigmas.mdx b/built-in-nodes/FlipSigmas.mdx new file mode 100644 index 000000000..fea7ef133 --- /dev/null +++ b/built-in-nodes/FlipSigmas.mdx @@ -0,0 +1,19 @@ +--- +title: "FlipSigmas - ComfyUI Built-in Node Documentation" +description: "The `FlipSigmas` node is designed to manipulate the sequence of sigma values used in diffusion models by reversing their order and ensuring the first value is non-zero if originally zero. This oper..." +sidebarTitle: "FlipSigmas" +icon: "circle" +--- +The `FlipSigmas` node is designed to manipulate the sequence of sigma values used in diffusion models by reversing their order and ensuring the first value is non-zero if originally zero. This operation is crucial for adapting the noise levels in reverse order, facilitating the generation process in models that operate by gradually reducing noise from data. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `sigmas` | `SIGMAS` | The 'sigmas' parameter represents the sequence of sigma values to be flipped. This sequence is crucial for controlling the noise levels applied during the diffusion process, and flipping it is essential for the reverse generation process. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `sigmas` | `SIGMAS` | The output is the modified sequence of sigma values, flipped and adjusted to ensure the first value is non-zero if originally zero, ready for use in subsequent diffusion model operations. | diff --git a/built-in-nodes/Flux2Scheduler.mdx b/built-in-nodes/Flux2Scheduler.mdx new file mode 100644 index 000000000..bd00d49b3 --- /dev/null +++ b/built-in-nodes/Flux2Scheduler.mdx @@ -0,0 +1,23 @@ +--- +title: "Flux2Scheduler - ComfyUI Built-in Node Documentation" +description: "The Flux2Scheduler node generates a sequence of noise levels (sigmas) for the denoising process, specifically tailored for the Flux model. It calculates a schedule based on the number of denoising ..." +sidebarTitle: "Flux2Scheduler" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2Scheduler/en.md) + +The Flux2Scheduler node generates a sequence of noise levels (sigmas) for the denoising process, specifically tailored for the Flux model. It calculates a schedule based on the number of denoising steps and the dimensions of the target image, which influences the progression of noise removal during image generation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `steps` | INT | Yes | 1 to 4096 | The number of denoising steps to perform. A higher value typically leads to more detailed results but takes longer to process (default: 20). | +| `width` | INT | Yes | 16 to 16384 | The width of the image to be generated, in pixels. This value influences the noise schedule calculation (default: 1024). | +| `height` | INT | Yes | 16 to 16384 | The height of the image to be generated, in pixels. This value influences the noise schedule calculation (default: 1024). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sigmas` | SIGMAS | A sequence of noise level values (sigmas) that define the denoising schedule for the sampler. | diff --git a/built-in-nodes/FluxDisableGuidance.mdx b/built-in-nodes/FluxDisableGuidance.mdx new file mode 100644 index 000000000..7878cecb8 --- /dev/null +++ b/built-in-nodes/FluxDisableGuidance.mdx @@ -0,0 +1,21 @@ +--- +title: "FluxDisableGuidance - ComfyUI Built-in Node Documentation" +description: "This node completely disables the guidance embed functionality for Flux and similar models. It takes conditioning data as input and removes the guidance component by setting it to None, effectively..." +sidebarTitle: "FluxDisableGuidance" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxDisableGuidance/en.md) + +This node completely disables the guidance embed functionality for Flux and similar models. It takes conditioning data as input and removes the guidance component by setting it to None, effectively turning off guidance-based conditioning for the generation process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `conditioning` | CONDITIONING | Yes | - | The conditioning data to process and remove guidance from | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `conditioning` | CONDITIONING | The modified conditioning data with guidance disabled | diff --git a/built-in-nodes/FluxGuidance.mdx b/built-in-nodes/FluxGuidance.mdx new file mode 100644 index 000000000..35485a7be --- /dev/null +++ b/built-in-nodes/FluxGuidance.mdx @@ -0,0 +1,18 @@ +--- +title: "FluxGuidance - ComfyUI Built-in Node Documentation" +description: "Documentation for FluxGuidance node." +sidebarTitle: "FluxGuidance" +icon: "circle" +--- +## Inputs + +| Parameter | Data Type | Description | +|----------------|-----------|-------------| +| conditioning | CONDITIONING | Input conditioning data, typically from previous encoding or processing steps | +| guidance | FLOAT | Controls the influence of text prompts on image generation, adjustable range from 0.0 to 100.0 | + +## Outputs + +| Parameter | Data Type | Description | +|----------------|-----------|-------------| +| CONDITIONING | CONDITIONING | Updated conditioning data, containing the new guidance value | diff --git a/built-in-nodes/FluxKontextImageScale.mdx b/built-in-nodes/FluxKontextImageScale.mdx new file mode 100644 index 000000000..5564880ab --- /dev/null +++ b/built-in-nodes/FluxKontextImageScale.mdx @@ -0,0 +1,43 @@ +--- +title: "FluxKontextImageScale - ComfyUI Built-in Node Documentation" +description: "This node scales the input image to an optimal size used during Flux Kontext model training using the Lanczos algorithm, based on the input image's aspect ratio. This node is particularly useful wh..." +sidebarTitle: "FluxKontextImageScale" +icon: "circle" +--- +This node scales the input image to an optimal size used during Flux Kontext model training using the Lanczos algorithm, based on the input image's aspect ratio. This node is particularly useful when inputting large-sized images, as oversized inputs may lead to degraded model output quality or issues such as multiple subjects appearing in the output. + +## Inputs + +| Parameter Name | Data Type | Input Type | Default Value | Value Range | Description | +|----------------|-----------|------------|---------------|-------------|-------------| +| `image` | IMAGE | Required | - | - | Input image to be resized | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | Resized image | + +## Preset Size List + +The following is a list of standard sizes used during model training. The node will select the size closest to the input image's aspect ratio: + +| Width | Height | Aspect Ratio | +|-------|--------|--------------| +| 672 | 1568 | 0.429 | +| 688 | 1504 | 0.457 | +| 720 | 1456 | 0.494 | +| 752 | 1392 | 0.540 | +| 800 | 1328 | 0.603 | +| 832 | 1248 | 0.667 | +| 880 | 1184 | 0.743 | +| 944 | 1104 | 0.855 | +| 1024 | 1024 | 1.000 | +| 1104 | 944 | 1.170 | +| 1184 | 880 | 1.345 | +| 1248 | 832 | 1.500 | +| 1328 | 800 | 1.660 | +| 1392 | 752 | 1.851 | +| 1456 | 720 | 2.022 | +| 1504 | 688 | 2.186 | +| 1568 | 672 | 2.333 | diff --git a/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx b/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx new file mode 100644 index 000000000..87dd1125c --- /dev/null +++ b/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx @@ -0,0 +1,22 @@ +--- +title: "FluxKontextMultiReferenceLatentMethod - ComfyUI Built-in Node Documentation" +description: "The FluxKontextMultiReferenceLatentMethod node modifies conditioning data by setting a specific reference latents method. It appends the chosen method to the conditioning input, which affects how r..." +sidebarTitle: "FluxKontextMultiReferenceLatentMethod" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/en.md) + +The FluxKontextMultiReferenceLatentMethod node modifies conditioning data by setting a specific reference latents method. It appends the chosen method to the conditioning input, which affects how reference latents are processed in subsequent generation steps. This node is marked as experimental and is part of the Flux conditioning system. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `conditioning` | CONDITIONING | Yes | - | The conditioning data to be modified with the reference latents method | +| `reference_latents_method` | STRING | Yes | `"offset"`
`"index"`
`"uxo/uno"` | The method to use for reference latents processing. If "uxo" or "uso" is selected, it will be converted to "uxo" | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `conditioning` | CONDITIONING | The modified conditioning data with the reference latents method applied | diff --git a/built-in-nodes/FluxProCannyNode.mdx b/built-in-nodes/FluxProCannyNode.mdx new file mode 100644 index 000000000..f803a85d3 --- /dev/null +++ b/built-in-nodes/FluxProCannyNode.mdx @@ -0,0 +1,31 @@ +--- +title: "FluxProCannyNode - ComfyUI Built-in Node Documentation" +description: "Generate image using a control image (canny). This node takes a control image and generates a new image based on the provided prompt while following the edge structure detected in the control image." +sidebarTitle: "FluxProCannyNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProCannyNode/en.md) + +Generate image using a control image (canny). This node takes a control image and generates a new image based on the provided prompt while following the edge structure detected in the control image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `control_image` | IMAGE | Yes | - | The input image used for canny edge detection control | +| `prompt` | STRING | No | - | Prompt for the image generation (default: empty string) | +| `prompt_upsampling` | BOOLEAN | No | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | +| `canny_low_threshold` | FLOAT | No | 0.01 - 0.99 | Low threshold for Canny edge detection; ignored if skip_processing is True (default: 0.1) | +| `canny_high_threshold` | FLOAT | No | 0.01 - 0.99 | High threshold for Canny edge detection; ignored if skip_processing is True (default: 0.4) | +| `skip_preprocessing` | BOOLEAN | No | - | Whether to skip preprocessing; set to True if control_image already is canny-fied, False if it is a raw image. (default: False) | +| `guidance` | FLOAT | No | 1 - 100 | Guidance strength for the image generation process (default: 30) | +| `steps` | INT | No | 15 - 50 | Number of steps for the image generation process (default: 50) | +| `seed` | INT | No | 0 - 18446744073709551615 | The random seed used for creating the noise. (default: 0) | + +**Note:** When `skip_preprocessing` is set to True, the `canny_low_threshold` and `canny_high_threshold` parameters are ignored since the control image is assumed to already be processed as a canny edge image. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output_image` | IMAGE | The generated image based on the control image and prompt | diff --git a/built-in-nodes/FluxProDepthNode.mdx b/built-in-nodes/FluxProDepthNode.mdx new file mode 100644 index 000000000..89b46cce0 --- /dev/null +++ b/built-in-nodes/FluxProDepthNode.mdx @@ -0,0 +1,27 @@ +--- +title: "FluxProDepthNode - ComfyUI Built-in Node Documentation" +description: "This node generates images using a depth control image as guidance. It takes a control image and a text prompt, then creates a new image that follows both the depth information from the control ima..." +sidebarTitle: "FluxProDepthNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProDepthNode/en.md) + +This node generates images using a depth control image as guidance. It takes a control image and a text prompt, then creates a new image that follows both the depth information from the control image and the description in the prompt. The node connects to an external API to perform the image generation process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `control_image` | IMAGE | Yes | - | The depth control image used to guide the image generation | +| `prompt` | STRING | No | - | Prompt for the image generation (default: empty string) | +| `prompt_upsampling` | BOOLEAN | No | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | +| `skip_preprocessing` | BOOLEAN | No | - | Whether to skip preprocessing; set to True if control_image already is depth-ified, False if it is a raw image. (default: False) | +| `guidance` | FLOAT | No | 1-100 | Guidance strength for the image generation process (default: 15) | +| `steps` | INT | No | 15-50 | Number of steps for the image generation process (default: 50) | +| `seed` | INT | No | 0-18446744073709551615 | The random seed used for creating the noise. (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output_image` | IMAGE | The generated image based on the depth control image and prompt | diff --git a/built-in-nodes/FluxProExpandNode.mdx b/built-in-nodes/FluxProExpandNode.mdx new file mode 100644 index 000000000..7adb8c300 --- /dev/null +++ b/built-in-nodes/FluxProExpandNode.mdx @@ -0,0 +1,30 @@ +--- +title: "FluxProExpandNode - ComfyUI Built-in Node Documentation" +description: "Outpaints image based on prompt. This node expands an image by adding pixels to the top, bottom, left, and right sides while generating new content that matches the provided text description." +sidebarTitle: "FluxProExpandNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProExpandNode/en.md) + +Outpaints image based on prompt. This node expands an image by adding pixels to the top, bottom, left, and right sides while generating new content that matches the provided text description. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be expanded | +| `prompt` | STRING | No | - | Prompt for the image generation (default: "") | +| `prompt_upsampling` | BOOLEAN | No | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | +| `top` | INT | No | 0-2048 | Number of pixels to expand at the top of the image (default: 0) | +| `bottom` | INT | No | 0-2048 | Number of pixels to expand at the bottom of the image (default: 0) | +| `left` | INT | No | 0-2048 | Number of pixels to expand at the left of the image (default: 0) | +| `right` | INT | No | 0-2048 | Number of pixels to expand at the right of the image (default: 0) | +| `guidance` | FLOAT | No | 1.5-100 | Guidance strength for the image generation process (default: 60) | +| `steps` | INT | No | 15-50 | Number of steps for the image generation process (default: 50) | +| `seed` | INT | No | 0-18446744073709551615 | The random seed used for creating the noise. (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The expanded output image | diff --git a/built-in-nodes/FluxProFillNode.mdx b/built-in-nodes/FluxProFillNode.mdx new file mode 100644 index 000000000..ffc5e7a82 --- /dev/null +++ b/built-in-nodes/FluxProFillNode.mdx @@ -0,0 +1,27 @@ +--- +title: "FluxProFillNode - ComfyUI Built-in Node Documentation" +description: "Inpaints image based on mask and prompt. This node uses the Flux.1 model to fill in masked areas of an image according to the provided text description, generating new content that matches the surr..." +sidebarTitle: "FluxProFillNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProFillNode/en.md) + +Inpaints image based on mask and prompt. This node uses the Flux.1 model to fill in masked areas of an image according to the provided text description, generating new content that matches the surrounding image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be inpainted | +| `mask` | MASK | Yes | - | The mask defining which areas of the image should be filled | +| `prompt` | STRING | No | - | Prompt for the image generation (default: empty string) | +| `prompt_upsampling` | BOOLEAN | No | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: false) | +| `guidance` | FLOAT | No | 1.5-100 | Guidance strength for the image generation process (default: 60) | +| `steps` | INT | No | 15-50 | Number of steps for the image generation process (default: 50) | +| `seed` | INT | No | 0-18446744073709551615 | The random seed used for creating the noise. (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output_image` | IMAGE | The generated image with the masked areas filled according to the prompt | diff --git a/built-in-nodes/FluxProImageNode.mdx b/built-in-nodes/FluxProImageNode.mdx new file mode 100644 index 000000000..807fa340d --- /dev/null +++ b/built-in-nodes/FluxProImageNode.mdx @@ -0,0 +1,26 @@ +--- +title: "FluxProImageNode - ComfyUI Built-in Node Documentation" +description: "Generates images synchronously based on prompt and resolution. This node creates images using the Flux 1.1 Pro model by sending requests to an API endpoint and waiting for the complete response bef..." +sidebarTitle: "FluxProImageNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProImageNode/en.md) + +Generates images synchronously based on prompt and resolution. This node creates images using the Flux 1.1 Pro model by sending requests to an API endpoint and waiting for the complete response before returning the generated image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string) | +| `prompt_upsampling` | BOOLEAN | Yes | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | +| `width` | INT | Yes | 256-1440 | Image width in pixels (default: 1024, step: 32) | +| `height` | INT | Yes | 256-1440 | Image height in pixels (default: 768, step: 32) | +| `seed` | INT | Yes | 0-18446744073709551615 | The random seed used for creating the noise. (default: 0) | +| `image_prompt` | IMAGE | No | - | Optional reference image to guide the generation | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The generated image returned from the API | diff --git a/built-in-nodes/FluxProUltraImageNode.mdx b/built-in-nodes/FluxProUltraImageNode.mdx new file mode 100644 index 000000000..acdb01e04 --- /dev/null +++ b/built-in-nodes/FluxProUltraImageNode.mdx @@ -0,0 +1,29 @@ +--- +title: "FluxProUltraImageNode - ComfyUI Built-in Node Documentation" +description: "Generates images using Flux Pro 1.1 Ultra via API based on prompt and resolution. This node connects to an external service to create images according to your text description and specified dimensi..." +sidebarTitle: "FluxProUltraImageNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md) + +Generates images using Flux Pro 1.1 Ultra via API based on prompt and resolution. This node connects to an external service to create images according to your text description and specified dimensions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string) | +| `prompt_upsampling` | BOOLEAN | No | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | +| `seed` | INT | No | 0 to 18446744073709551615 | The random seed used for creating the noise. (default: 0) | +| `aspect_ratio` | STRING | No | - | Aspect ratio of image; must be between 1:4 and 4:1. (default: "16:9") | +| `raw` | BOOLEAN | No | - | When True, generate less processed, more natural-looking images. (default: False) | +| `image_prompt` | IMAGE | No | - | Optional reference image to guide generation | +| `image_prompt_strength` | FLOAT | No | 0.0 to 1.0 | Blend between the prompt and the image prompt. (default: 0.1) | + +**Note:** The `aspect_ratio` parameter must be between 1:4 and 4:1. When `image_prompt` is provided, `image_prompt_strength` becomes active and controls how much the reference image influences the final output. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output_image` | IMAGE | The generated image from Flux Pro 1.1 Ultra | diff --git a/built-in-nodes/FreSca.mdx b/built-in-nodes/FreSca.mdx new file mode 100644 index 000000000..a90168650 --- /dev/null +++ b/built-in-nodes/FreSca.mdx @@ -0,0 +1,24 @@ +--- +title: "FreSca - ComfyUI Built-in Node Documentation" +description: "The FreSca node applies frequency-dependent scaling to guidance during the sampling process. It separates the guidance signal into low-frequency and high-frequency components using Fourier filterin..." +sidebarTitle: "FreSca" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreSca/en.md) + +The FreSca node applies frequency-dependent scaling to guidance during the sampling process. It separates the guidance signal into low-frequency and high-frequency components using Fourier filtering, then applies different scaling factors to each frequency range before recombining them. This allows for more nuanced control over how guidance affects different aspects of the generated output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply frequency scaling to | +| `scale_low` | FLOAT | No | 0-10 | Scaling factor for low-frequency components (default: 1.0) | +| `scale_high` | FLOAT | No | 0-10 | Scaling factor for high-frequency components (default: 1.25) | +| `freq_cutoff` | INT | No | 1-10000 | Number of frequency indices around center to consider as low-frequency (default: 20) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with frequency-dependent scaling applied to its guidance function | diff --git a/built-in-nodes/FreeU.mdx b/built-in-nodes/FreeU.mdx new file mode 100644 index 000000000..2d96bf0c5 --- /dev/null +++ b/built-in-nodes/FreeU.mdx @@ -0,0 +1,25 @@ +--- +title: "FreeU - ComfyUI Built-in Node Documentation" +description: "The FreeU node applies frequency-domain modifications to a model's output blocks to enhance image generation quality. It works by scaling different channel groups and applying Fourier filtering to ..." +sidebarTitle: "FreeU" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU/en.md) + +The FreeU node applies frequency-domain modifications to a model's output blocks to enhance image generation quality. It works by scaling different channel groups and applying Fourier filtering to specific feature maps, allowing for fine-tuned control over the model's behavior during the generation process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply FreeU modifications to | +| `b1` | FLOAT | Yes | 0.0 - 10.0 | Backbone scaling factor for model_channels × 4 features (default: 1.1) | +| `b2` | FLOAT | Yes | 0.0 - 10.0 | Backbone scaling factor for model_channels × 2 features (default: 1.2) | +| `s1` | FLOAT | Yes | 0.0 - 10.0 | Skip connection scaling factor for model_channels × 4 features (default: 0.9) | +| `s2` | FLOAT | Yes | 0.0 - 10.0 | Skip connection scaling factor for model_channels × 2 features (default: 0.2) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with FreeU patches applied | diff --git a/built-in-nodes/FreeU_V2.mdx b/built-in-nodes/FreeU_V2.mdx new file mode 100644 index 000000000..dd7cc5d62 --- /dev/null +++ b/built-in-nodes/FreeU_V2.mdx @@ -0,0 +1,25 @@ +--- +title: "FreeU_V2 - ComfyUI Built-in Node Documentation" +description: "The FreeU_V2 node applies a frequency-based enhancement to diffusion models by modifying the U-Net architecture. It scales different feature channels using configurable parameters to improve image ..." +sidebarTitle: "FreeU_V2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU_V2/en.md) + +The FreeU_V2 node applies a frequency-based enhancement to diffusion models by modifying the U-Net architecture. It scales different feature channels using configurable parameters to improve image generation quality without requiring additional training. The node works by patching the model's output blocks to apply scaling factors to specific channel dimensions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to apply FreeU enhancement to | +| `b1` | FLOAT | Yes | 0.0 - 10.0 | Backbone feature scaling factor for the first block (default: 1.3) | +| `b2` | FLOAT | Yes | 0.0 - 10.0 | Backbone feature scaling factor for the second block (default: 1.4) | +| `s1` | FLOAT | Yes | 0.0 - 10.0 | Skip feature scaling factor for the first block (default: 0.9) | +| `s2` | FLOAT | Yes | 0.0 - 10.0 | Skip feature scaling factor for the second block (default: 0.2) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The enhanced diffusion model with FreeU modifications applied | diff --git a/built-in-nodes/GITSScheduler.mdx b/built-in-nodes/GITSScheduler.mdx new file mode 100644 index 000000000..1ec6ac68f --- /dev/null +++ b/built-in-nodes/GITSScheduler.mdx @@ -0,0 +1,25 @@ +--- +title: "GITSScheduler - ComfyUI Built-in Node Documentation" +description: "The GITSScheduler node generates noise schedule sigmas for the GITS (Generative Iterative Time Steps) sampling method. It calculates sigma values based on a coefficient parameter and number of step..." +sidebarTitle: "GITSScheduler" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GITSScheduler/en.md) + +The GITSScheduler node generates noise schedule sigmas for the GITS (Generative Iterative Time Steps) sampling method. It calculates sigma values based on a coefficient parameter and number of steps, with an optional denoising factor that can reduce the total steps used. The node uses pre-defined noise levels and interpolation to create the final sigma schedule. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `coeff` | FLOAT | Yes | 0.80 - 1.50 | The coefficient value that controls the noise schedule curve (default: 1.20) | +| `steps` | INT | Yes | 2 - 1000 | The total number of sampling steps to generate sigmas for (default: 10) | +| `denoise` | FLOAT | Yes | 0.0 - 1.0 | Denoising factor that reduces the number of steps used (default: 1.0) | + +**Note:** When `denoise` is set to 0.0, the node returns an empty tensor. When `denoise` is less than 1.0, the actual number of steps used is calculated as `round(steps * denoise)`. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sigmas` | SIGMAS | The generated sigma values for the noise schedule | diff --git a/built-in-nodes/GLIGENLoader.mdx b/built-in-nodes/GLIGENLoader.mdx new file mode 100644 index 000000000..4bc1fcdb3 --- /dev/null +++ b/built-in-nodes/GLIGENLoader.mdx @@ -0,0 +1,21 @@ +--- +title: "GLIGENLoader - ComfyUI Built-in Node Documentation" +description: "This node will detect models located in the `ComfyUI/models/gligen` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need..." +sidebarTitle: "GLIGENLoader" +icon: "circle" +--- +This node will detect models located in the `ComfyUI/models/gligen` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to **refresh the ComfyUI interface** to allow it to read the model files from the corresponding folder. + +The `GLIGENLoader` node is designed for loading GLIGEN models, which are specialized generative models. It facilitates the process of retrieving and initializing these models from specified paths, making them ready for further generative tasks. + +## Inputs + +| Field | Comfy dtype | Description | +|-------------|-------------------|-----------------------------------------------------------------------------------| +| `gligen_name`| `COMBO[STRING]` | The name of the GLIGEN model to be loaded, specifying which model file to retrieve and load, crucial for the initialization of the GLIGEN model. | + +## Outputs + +| Field | Data Type | Description | +|----------|-------------|--------------------------------------------------------------------------| +| `gligen` | `GLIGEN` | The loaded GLIGEN model, ready for use in generative tasks, representing the fully initialized model loaded from the specified path. | diff --git a/built-in-nodes/GLIGENTextBoxApply.mdx b/built-in-nodes/GLIGENTextBoxApply.mdx new file mode 100644 index 000000000..c92765c82 --- /dev/null +++ b/built-in-nodes/GLIGENTextBoxApply.mdx @@ -0,0 +1,26 @@ +--- +title: "GLIGENTextBoxApply - ComfyUI Built-in Node Documentation" +description: "The `GLIGENTextBoxApply` node is designed to integrate text-based conditioning into a generative model's input, specifically by applying text box parameters and encoding them using a CLIP model. Th..." +sidebarTitle: "GLIGENTextBoxApply" +icon: "circle" +--- +The `GLIGENTextBoxApply` node is designed to integrate text-based conditioning into a generative model's input, specifically by applying text box parameters and encoding them using a CLIP model. This process enriches the conditioning with spatial and textual information, facilitating more precise and context-aware generation. + +## Inputs + +| Parameter | Comfy dtype | Description | +|----------------------|--------------------|-------------| +| `conditioning_to` | `CONDITIONING` | Specifies the initial conditioning input to which the text box parameters and encoded text information will be appended. It plays a crucial role in determining the final output by integrating new conditioning data. | +| `clip` | `CLIP` | The CLIP model used for encoding the provided text into a format that can be utilized by the generative model. It's essential for converting textual information into a compatible conditioning format. | +| `gligen_textbox_model` | `GLIGEN` | Represents the specific GLIGEN model configuration to be used for generating the text box. It's crucial for ensuring that the text box is generated according to the desired specifications. | +| `text` | `STRING` | The text content to be encoded and integrated into the conditioning. It provides the semantic information that guides the generative model. | +| `width` | `INT` | The width of the text box in pixels. It defines the spatial dimension of the text box within the generated image. | +| `height` | `INT` | The height of the text box in pixels. Similar to width, it defines the spatial dimension of the text box within the generated image. | +| `x` | `INT` | The x-coordinate of the top-left corner of the text box within the generated image. It specifies the text box's position horizontally. | +| `y` | `INT` | The y-coordinate of the top-left corner of the text box within the generated image. It specifies the text box's position vertically. | + +## Outputs + +| Parameter | Comfy dtype | Description | +|----------------------|--------------------|-------------| +| `conditioning` | `CONDITIONING` | The enriched conditioning output, which includes the original conditioning data along with the newly appended text box parameters and encoded text information. It's used to guide the generative model in producing context-aware outputs. | diff --git a/built-in-nodes/GLSLShader.mdx b/built-in-nodes/GLSLShader.mdx new file mode 100644 index 000000000..65673e611 --- /dev/null +++ b/built-in-nodes/GLSLShader.mdx @@ -0,0 +1,37 @@ +--- +title: "GLSLShader - ComfyUI Built-in Node Documentation" +description: "The GLSL Shader node applies custom GLSL ES fragment shader code to input images. It allows you to write shader programs that can process multiple images and accept uniform parameters (floats and i..." +sidebarTitle: "GLSLShader" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLSLShader/en.md) + +The GLSL Shader node applies custom GLSL ES fragment shader code to input images. It allows you to write shader programs that can process multiple images and accept uniform parameters (floats and integers) to create complex visual effects. The output size can be determined by the first input image or set manually. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `fragment_shader` | STRING | Yes | N/A | GLSL fragment shader source code (GLSL ES 3.00 / WebGL 2.0 compatible). Default: A basic shader that outputs the first input image. | +| `size_mode` | COMBO | Yes | `"from_input"`
`"custom"` | Output size: 'from_input' uses first input image dimensions, 'custom' allows manual size. | +| `width` | INT | No | 1 to 16384 | The width of the output image when `size_mode` is set to `"custom"`. Default: 512. | +| `height` | INT | No | 1 to 16384 | The height of the output image when `size_mode` is set to `"custom"`. Default: 512. | +| `images` | IMAGE | Yes | 1 to 8 images | Input images to be processed by the shader. Images are available as `u_image0` to `u_image7` (sampler2D) in the shader code. | +| `floats` | FLOAT | No | 0 to 8 floats | Floating-point uniform values for the shader. Floats are available as `u_float0` to `u_float7` in the shader code. Default: 0.0. | +| `ints` | INT | No | 0 to 8 integers | Integer uniform values for the shader. Ints are available as `u_int0` to `u_int7` in the shader code. Default: 0. | + +**Notes:** + +* The `width` and `height` parameters are only required and visible when `size_mode` is set to `"custom"`. +* At least one input image is required. +* The shader code always has access to a `u_resolution` (vec2) uniform containing the output dimensions. +* A maximum of 8 input images, 8 float uniforms, and 8 integer uniforms can be provided. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE0` | IMAGE | The first output image from the shader. Available via `layout(location = 0) out vec4 fragColor0` in the shader code. | +| `IMAGE1` | IMAGE | The second output image from the shader. Available via `layout(location = 1) out vec4 fragColor1` in the shader code. | +| `IMAGE2` | IMAGE | The third output image from the shader. Available via `layout(location = 2) out vec4 fragColor2` in the shader code. | +| `IMAGE3` | IMAGE | The fourth output image from the shader. Available via `layout(location = 3) out vec4 fragColor3` in the shader code. | diff --git a/built-in-nodes/GeminiImage.mdx b/built-in-nodes/GeminiImage.mdx new file mode 100644 index 000000000..1d9ed73f3 --- /dev/null +++ b/built-in-nodes/GeminiImage.mdx @@ -0,0 +1,28 @@ +--- +title: "GeminiImage - ComfyUI Built-in Node Documentation" +description: "The GeminiImage node generates text and image responses from Google's Gemini AI models. It allows you to provide multimodal inputs including text prompts, images, and files to create coherent text ..." +sidebarTitle: "GeminiImage" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage/en.md) + +The GeminiImage node generates text and image responses from Google's Gemini AI models. It allows you to provide multimodal inputs including text prompts, images, and files to create coherent text and image outputs. The node handles all API communication and response parsing with the latest Gemini models. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `prompt` | STRING | required | "" | - | Text prompt for generation | +| `model` | COMBO | required | gemini_2_5_flash_image_preview | Available Gemini models
Options extracted from GeminiImageModel enum | The Gemini model to use for generating responses. | +| `seed` | INT | required | 42 | 0 to 18446744073709551615 | When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. | +| `images` | IMAGE | optional | None | - | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node. | +| `files` | GEMINI_INPUT_FILES | optional | None | - | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node. | + +**Note:** The node includes hidden parameters (`auth_token`, `comfy_api_key`, `unique_id`) that are automatically handled by the system and do not require user input. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The generated image response from the Gemini model | +| `STRING` | STRING | The generated text response from the Gemini model | diff --git a/built-in-nodes/GeminiImage2Node.mdx b/built-in-nodes/GeminiImage2Node.mdx new file mode 100644 index 000000000..19b9ea8dc --- /dev/null +++ b/built-in-nodes/GeminiImage2Node.mdx @@ -0,0 +1,35 @@ +--- +title: "GeminiImage2Node - ComfyUI Built-in Node Documentation" +description: "The GeminiImage2Node generates or edits images using Google's Vertex AI Gemini model. It sends a text prompt and optional reference images or files to the API and returns the generated image and/or..." +sidebarTitle: "GeminiImage2Node" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage2Node/en.md) + +The GeminiImage2Node generates or edits images using Google's Vertex AI Gemini model. It sends a text prompt and optional reference images or files to the API and returns the generated image and/or a text description. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | +| `model` | COMBO | Yes | `"gemini-3-pro-image-preview"` | The specific Gemini model to use for generation. | +| `seed` | INT | Yes | 0 to 18446744073709551615 | When fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Changing the model or other settings can cause variations even with the same seed. Default: 42. | +| `aspect_ratio` | COMBO | Yes | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | The desired aspect ratio for the output image. If set to 'auto', it matches your input image's aspect ratio; if no image is provided, a 16:9 square is usually generated. Default: "auto". | +| `resolution` | COMBO | Yes | `"1K"`
`"2K"`
`"4K"` | Target output resolution. For 2K/4K the native Gemini upscaler is used. | +| `response_modalities` | COMBO | Yes | `"IMAGE+TEXT"`
`"IMAGE"` | Choose 'IMAGE' for image-only output, or 'IMAGE+TEXT' to return both the generated image and a text response. | +| `images` | IMAGE | No | N/A | Optional reference image(s). To include multiple images, use the Batch Images node (up to 14). | +| `files` | CUSTOM | No | N/A | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node. | +| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate an AI's behavior. Default: A pre-defined system prompt for image generation. | + +**Constraints:** + +* The `images` input supports a maximum of 14 images. If more are provided, an error will be raised. +* The `files` input must be connected to a node that outputs the `GEMINI_INPUT_FILES` data type. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The image generated or edited by the Gemini model. | +| `string` | STRING | The text response from the model. This output will be empty if `response_modalities` is set to "IMAGE". | diff --git a/built-in-nodes/GeminiImageNode.mdx b/built-in-nodes/GeminiImageNode.mdx new file mode 100644 index 000000000..4eb5376b9 --- /dev/null +++ b/built-in-nodes/GeminiImageNode.mdx @@ -0,0 +1,28 @@ +--- +title: "GeminiImageNode - ComfyUI Built-in Node Documentation" +description: "The GeminiImage node generates text and image responses from Google's Gemini AI models. It allows you to provide multimodal inputs including text prompts, images, and files to create coherent text ..." +sidebarTitle: "GeminiImageNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage/en.md) + +The GeminiImage node generates text and image responses from Google's Gemini AI models. It allows you to provide multimodal inputs including text prompts, images, and files to create coherent text and image outputs. The node handles all API communication and response parsing with the latest Gemini models. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `prompt` | STRING | required | "" | - | Text prompt for generation | +| `model` | COMBO | required | gemini_2_5_flash_image_preview | Available Gemini models
Options extracted from GeminiImageModel enum | The Gemini model to use for generating responses | +| `seed` | INT | required | 42 | 0 to 18446744073709551615 | When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used | +| `images` | IMAGE | optional | None | - | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node | +| `files` | GEMINI_INPUT_FILES | optional | None | - | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node | + +*Note: The node includes hidden parameters (`auth_token`, `comfy_api_key`, `unique_id`) that are automatically handled by the system and do not require user input.* + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The generated image response from the Gemini model | +| `STRING` | STRING | The generated text response from the Gemini model | diff --git a/built-in-nodes/GeminiInputFiles.mdx b/built-in-nodes/GeminiInputFiles.mdx new file mode 100644 index 000000000..722f70b66 --- /dev/null +++ b/built-in-nodes/GeminiInputFiles.mdx @@ -0,0 +1,24 @@ +--- +title: "GeminiInputFiles - ComfyUI Built-in Node Documentation" +description: "Loads and formats input files for use with the Gemini API. This node allows users to include text (.txt) and PDF (.pdf) files as input context for the Gemini model. Files are converted to the appro..." +sidebarTitle: "GeminiInputFiles" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiInputFiles/en.md) + +Loads and formats input files for use with the Gemini API. This node allows users to include text (.txt) and PDF (.pdf) files as input context for the Gemini model. Files are converted to the appropriate format required by the API and can be chained together to include multiple files in a single request. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `file` | COMBO | Yes | Multiple options available | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than the maximum input file size limit. | +| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | No | N/A | An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files. | + +**Note:** The `file` parameter only displays text (.txt) and PDF (.pdf) files that are smaller than the maximum input file size limit. Files are automatically filtered and sorted by name. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | Formatted file data ready for use with Gemini LLM nodes, containing the loaded file content in the appropriate API format. | diff --git a/built-in-nodes/GeminiNode.mdx b/built-in-nodes/GeminiNode.mdx new file mode 100644 index 000000000..c7eed4cbc --- /dev/null +++ b/built-in-nodes/GeminiNode.mdx @@ -0,0 +1,27 @@ +--- +title: "GeminiNode - ComfyUI Built-in Node Documentation" +description: "This node allows users to interact with Google's Gemini AI models to generate text responses. You can provide multiple types of inputs including text, images, audio, video, and files as context for..." +sidebarTitle: "GeminiNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNode/en.md) + +This node allows users to interact with Google's Gemini AI models to generate text responses. You can provide multiple types of inputs including text, images, audio, video, and files as context for the model to generate more relevant and meaningful responses. The node handles all API communication and response parsing automatically. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Text inputs to the model, used to generate a response. You can include detailed instructions, questions, or context for the model. Default: empty string. | +| `model` | COMBO | Yes | `gemini-2.0-flash-exp`
`gemini-2.0-flash-thinking-exp`
`gemini-2.5-pro-exp`
`gemini-2.0-flash`
`gemini-2.0-flash-thinking`
`gemini-2.5-pro`
`gemini-2.0-flash-lite`
`gemini-1.5-flash`
`gemini-1.5-flash-8b`
`gemini-1.5-pro`
`gemini-1.0-pro` | The Gemini model to use for generating responses. Default: gemini-2.5-pro. | +| `seed` | INT | Yes | 0 to 18446744073709551615 | When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. Default: 42. | +| `images` | IMAGE | No | - | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node. Default: None. | +| `audio` | AUDIO | No | - | Optional audio to use as context for the model. Default: None. | +| `video` | VIDEO | No | - | Optional video to use as context for the model. Default: None. | +| `files` | GEMINI_INPUT_FILES | No | - | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node. Default: None. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `STRING` | STRING | The text response generated by the Gemini model. | diff --git a/built-in-nodes/GenerateTracks.mdx b/built-in-nodes/GenerateTracks.mdx new file mode 100644 index 000000000..57cd85d58 --- /dev/null +++ b/built-in-nodes/GenerateTracks.mdx @@ -0,0 +1,37 @@ +--- +title: "GenerateTracks - ComfyUI Built-in Node Documentation" +description: "The `GenerateTracks` node creates multiple parallel motion paths for video generation. It defines a primary path from a start point to an end point, then generates a set of tracks that run parallel..." +sidebarTitle: "GenerateTracks" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GenerateTracks/en.md) + +The `GenerateTracks` node creates multiple parallel motion paths for video generation. It defines a primary path from a start point to an end point, then generates a set of tracks that run parallel to this path, spaced evenly apart. You can control the shape of the path (straight line or Bezier curve), the speed of movement along it, and which frames the tracks are visible in. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 16 - 4096 | The width of the video frame in pixels. The default value is 832. | +| `height` | INT | Yes | 16 - 4096 | The height of the video frame in pixels. The default value is 480. | +| `start_x` | FLOAT | Yes | 0.0 - 1.0 | Normalized X coordinate (0-1) for start position. The default value is 0.0. | +| `start_y` | FLOAT | Yes | 0.0 - 1.0 | Normalized Y coordinate (0-1) for start position. The default value is 0.0. | +| `end_x` | FLOAT | Yes | 0.0 - 1.0 | Normalized X coordinate (0-1) for end position. The default value is 1.0. | +| `end_y` | FLOAT | Yes | 0.0 - 1.0 | Normalized Y coordinate (0-1) for end position. The default value is 1.0. | +| `num_frames` | INT | Yes | 1 - 1024 | The total number of frames for which to generate track positions. The default value is 81. | +| `num_tracks` | INT | Yes | 1 - 100 | The number of parallel tracks to generate. The default value is 5. | +| `track_spread` | FLOAT | Yes | 0.0 - 1.0 | Normalized distance between tracks. Tracks are spread perpendicular to the motion direction. The default value is 0.025. | +| `bezier` | BOOLEAN | Yes | True / False | Enable Bezier curve path using the mid point as control point. The default value is False. | +| `mid_x` | FLOAT | Yes | 0.0 - 1.0 | Normalized X control point for Bezier curve. Only used when 'bezier' is enabled. The default value is 0.5. | +| `mid_y` | FLOAT | Yes | 0.0 - 1.0 | Normalized Y control point for Bezier curve. Only used when 'bezier' is enabled. The default value is 0.5. | +| `interpolation` | COMBO | Yes | `"linear"`
`"ease_in"`
`"ease_out"`
`"ease_in_out"`
`"constant"` | Controls the timing/speed of movement along the path. The default value is "linear". | +| `track_mask` | MASK | No | - | Optional mask to indicate visible frames. | + +**Note:** The `mid_x` and `mid_y` parameters are only used when the `bezier` parameter is set to `True`. When `bezier` is `False`, the path is a straight line from the start to the end point. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `TRACKS` | TRACKS | A tracks object containing the generated path coordinates and visibility information for all tracks across all frames. | +| `track_length` | INT | The number of frames for which tracks were generated, matching the input `num_frames`. | diff --git a/built-in-nodes/GetImageSize.mdx b/built-in-nodes/GetImageSize.mdx new file mode 100644 index 000000000..5498fc5e1 --- /dev/null +++ b/built-in-nodes/GetImageSize.mdx @@ -0,0 +1,24 @@ +--- +title: "GetImageSize - ComfyUI Built-in Node Documentation" +description: "The GetImageSize node extracts the dimensions and batch information from an input image. It returns the width, height, and batch size of the image while also displaying this information as progress..." +sidebarTitle: "GetImageSize" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetImageSize/en.md) + +The GetImageSize node extracts the dimensions and batch information from an input image. It returns the width, height, and batch size of the image while also displaying this information as progress text on the node interface. The original image data passes through unchanged. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image from which to extract size information | +| `unique_id` | UNIQUE_ID | No | - | Internal identifier used for displaying progress information | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `width` | INT | The width of the input image in pixels | +| `height` | INT | The height of the input image in pixels | +| `batch_size` | INT | The number of images in the batch | diff --git a/built-in-nodes/GetVideoComponents.mdx b/built-in-nodes/GetVideoComponents.mdx new file mode 100644 index 000000000..888c464a1 --- /dev/null +++ b/built-in-nodes/GetVideoComponents.mdx @@ -0,0 +1,23 @@ +--- +title: "GetVideoComponents - ComfyUI Built-in Node Documentation" +description: "The Get Video Components node extracts all the main elements from a video file. It separates the video into individual frames, extracts the audio track, and provides the video's framerate informati..." +sidebarTitle: "GetVideoComponents" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetVideoComponents/en.md) + +The Get Video Components node extracts all the main elements from a video file. It separates the video into individual frames, extracts the audio track, and provides the video's framerate information. This allows you to work with each component independently for further processing or analysis. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | - | The video to extract components from. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `images` | IMAGE | The individual frames extracted from the video as separate images. | +| `audio` | AUDIO | The audio track extracted from the video. | +| `fps` | FLOAT | The framerate of the video in frames per second. | diff --git a/built-in-nodes/GrokImageEditNode.mdx b/built-in-nodes/GrokImageEditNode.mdx new file mode 100644 index 000000000..c765313b9 --- /dev/null +++ b/built-in-nodes/GrokImageEditNode.mdx @@ -0,0 +1,28 @@ +--- +title: "GrokImageEditNode - ComfyUI Built-in Node Documentation" +description: "The Grok Image Edit node modifies an existing image based on a text prompt. It uses the Grok API to generate one or more new images that are variations of the input, guided by your description." +sidebarTitle: "GrokImageEditNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNode/en.md) + +The Grok Image Edit node modifies an existing image based on a text prompt. It uses the Grok API to generate one or more new images that are variations of the input, guided by your description. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"grok-imagine-image-beta"` | The specific AI model to use for image editing. | +| `image` | IMAGE | Yes | | The input image to be edited. Only one image is supported. | +| `prompt` | STRING | Yes | | The text prompt used to generate the edited image. | +| `resolution` | COMBO | Yes | `"1K"` | The resolution for the output image. | +| `number_of_images` | INT | No | 1 to 10 | Number of edited images to generate (default: 1). | +| `seed` | INT | No | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | + +**Note:** The `image` input must contain exactly one image. Providing multiple images will cause an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The edited image(s) generated by the node. If `number_of_images` is greater than 1, the outputs are concatenated into a batch. | diff --git a/built-in-nodes/GrokImageNode.mdx b/built-in-nodes/GrokImageNode.mdx new file mode 100644 index 000000000..b9747f079 --- /dev/null +++ b/built-in-nodes/GrokImageNode.mdx @@ -0,0 +1,27 @@ +--- +title: "GrokImageNode - ComfyUI Built-in Node Documentation" +description: "The Grok Image node generates one or more images based on a text description using the Grok AI model. It sends your prompt to an external service and returns the generated images as tensors that ca..." +sidebarTitle: "GrokImageNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageNode/en.md) + +The Grok Image node generates one or more images based on a text description using the Grok AI model. It sends your prompt to an external service and returns the generated images as tensors that can be used in your workflow. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"grok-imagine-image-beta"` | The specific Grok model to use for image generation. | +| `prompt` | STRING | Yes | N/A | The text prompt used to generate the image. This description guides the AI on what to create. | +| `aspect_ratio` | COMBO | Yes | `"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | The desired width-to-height ratio for the generated image. | +| `number_of_images` | INT | No | 1 to 10 | Number of images to generate (default: 1). | +| `seed` | INT | No | 0 to 2147483647 | A seed value to determine if the node should re-run. The actual image results are nondeterministic and will vary even with the same seed (default: 0). | + +**Note:** The `seed` parameter is primarily used to control when the node re-executes within a workflow. Due to the nature of the external AI service, the generated images will not be reproducible or identical across runs, even with an identical seed. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The generated image or a batch of images. If `number_of_images` is 1, a single image tensor is returned. If greater than 1, a batch of image tensors is returned. | diff --git a/built-in-nodes/GrokVideoEditNode.mdx b/built-in-nodes/GrokVideoEditNode.mdx new file mode 100644 index 000000000..744bfe676 --- /dev/null +++ b/built-in-nodes/GrokVideoEditNode.mdx @@ -0,0 +1,29 @@ +--- +title: "GrokVideoEditNode - ComfyUI Built-in Node Documentation" +description: "This node uses the Grok API to edit an existing video based on a text prompt. It uploads your video, sends a request to the AI model to modify it according to your description, and returns the newl..." +sidebarTitle: "GrokVideoEditNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md) + +This node uses the Grok API to edit an existing video based on a text prompt. It uploads your video, sends a request to the AI model to modify it according to your description, and returns the newly generated video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"grok-imagine-video-beta"` | The AI model to use for video editing. | +| `prompt` | STRING | Yes | N/A | Text description of the desired video. | +| `video` | VIDEO | Yes | N/A | The input video to be edited. Maximum supported duration is 8.7 seconds and 50MB file size. | +| `seed` | INT | No | 0 to 2147483647 | A seed value to determine if the node should re-run. The actual results are nondeterministic regardless of the seed value (default: 0). | + +**Constraints:** + +* The input `video` must be between 1 and 8.7 seconds in duration. +* The input `video` file size must not exceed 50MB. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The edited video generated by the AI model. | diff --git a/built-in-nodes/GrokVideoNode.mdx b/built-in-nodes/GrokVideoNode.mdx new file mode 100644 index 000000000..bbdfc93ca --- /dev/null +++ b/built-in-nodes/GrokVideoNode.mdx @@ -0,0 +1,29 @@ +--- +title: "GrokVideoNode - ComfyUI Built-in Node Documentation" +description: "The Grok Video node generates a short video from a text description. It can create a video from scratch using a prompt or animate a single input image based on a prompt. The node sends a request to..." +sidebarTitle: "GrokVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoNode/en.md) + +The Grok Video node generates a short video from a text description. It can create a video from scratch using a prompt or animate a single input image based on a prompt. The node sends a request to an external API and returns the generated video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"grok-imagine-video-beta"` | The model to use for video generation. | +| `prompt` | STRING | Yes | - | Text description of the desired video. | +| `resolution` | COMBO | Yes | `"480p"`
`"720p"` | The resolution of the output video. | +| `aspect_ratio` | COMBO | Yes | `"auto"`
`"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | The aspect ratio of the output video. | +| `duration` | INT | Yes | 1 to 15 | The duration of the output video in seconds (default: 6). | +| `seed` | INT | Yes | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | +| `image` | IMAGE | No | - | An optional input image to animate. | + +**Note:** If an `image` is provided, only one image is supported. Providing multiple images will cause an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video. | diff --git a/built-in-nodes/GrowMask.mdx b/built-in-nodes/GrowMask.mdx new file mode 100644 index 000000000..5c412d988 --- /dev/null +++ b/built-in-nodes/GrowMask.mdx @@ -0,0 +1,21 @@ +--- +title: "GrowMask - ComfyUI Built-in Node Documentation" +description: "The `GrowMask` node is designed to modify the size of a given mask, either expanding or contracting it, while optionally applying a tapered effect to the corners. This functionality is crucial for ..." +sidebarTitle: "GrowMask" +icon: "circle" +--- +The `GrowMask` node is designed to modify the size of a given mask, either expanding or contracting it, while optionally applying a tapered effect to the corners. This functionality is crucial for dynamically adjusting mask boundaries in image processing tasks, allowing for more flexible and precise control over the area of interest. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `mask` | MASK | The input mask to be modified. This parameter is central to the node's operation, serving as the base upon which the mask is either expanded or contracted. | +| `expand` | INT | Determines the magnitude and direction of the mask modification. Positive values cause the mask to expand, while negative values lead to contraction. This parameter directly influences the final size of the mask. | +| `tapered_corners` | BOOLEAN | A boolean flag that, when set to True, applies a tapered effect to the corners of the mask during modification. This option allows for smoother transitions and visually appealing results. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `mask` | MASK | The modified mask after applying the specified expansion/contraction and optional tapered corners effect. | diff --git a/built-in-nodes/HitPawGeneralImageEnhance.mdx b/built-in-nodes/HitPawGeneralImageEnhance.mdx new file mode 100644 index 000000000..03346c8e7 --- /dev/null +++ b/built-in-nodes/HitPawGeneralImageEnhance.mdx @@ -0,0 +1,26 @@ +--- +title: "HitPawGeneralImageEnhance - ComfyUI Built-in Node Documentation" +description: "This node enhances low-resolution images by upscaling them to super-resolution, removing artifacts and noise. It uses an external API to process the image and can automatically adjust the input siz..." +sidebarTitle: "HitPawGeneralImageEnhance" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md) + +This node enhances low-resolution images by upscaling them to super-resolution, removing artifacts and noise. It uses an external API to process the image and can automatically adjust the input size to stay within processing limits. The maximum allowed output size is 4 megapixels. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | STRING | Yes | `"generative_portrait"`
`"generative"` | The enhancement model to use. | +| `image` | IMAGE | Yes | - | The input image to be enhanced. | +| `upscale_factor` | INT | Yes | `1`
`2`
`4` | The factor by which to upscale the image's dimensions. | +| `auto_downscale` | BOOLEAN | No | - | Automatically downscale input image if output would exceed the limit. (default: `False`) | + +**Note:** The node will raise an error if the calculated output size (input height × upscale_factor × input width × upscale_factor) exceeds 4,000,000 pixels (4MP) and `auto_downscale` is disabled. When `auto_downscale` is enabled, the node will attempt to downscale the input image to fit within the limit before applying the requested upscale factor. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The enhanced and upscaled output image. | diff --git a/built-in-nodes/HitPawVideoEnhance.mdx b/built-in-nodes/HitPawVideoEnhance.mdx new file mode 100644 index 000000000..b98a0623b --- /dev/null +++ b/built-in-nodes/HitPawVideoEnhance.mdx @@ -0,0 +1,28 @@ +--- +title: "HitPawVideoEnhance - ComfyUI Built-in Node Documentation" +description: "The HitPaw Video Enhance node uses an external API to improve the quality of videos. It upscales low-resolution videos to a higher resolution, removes visual artifacts, and reduces noise. The proce..." +sidebarTitle: "HitPawVideoEnhance" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md) + +The HitPaw Video Enhance node uses an external API to improve the quality of videos. It upscales low-resolution videos to a higher resolution, removes visual artifacts, and reduces noise. The processing cost is calculated per second of the input video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | DYNAMIC COMBO | Yes | Multiple options available | The AI model to use for video enhancement. Selecting a model reveals a nested `resolution` parameter. | +| `model.resolution` | COMBO | Yes | `"original"`
`"720p"`
`"1080p"`
`"2k/qhd"`
`"4k/uhd"`
`"8k"` | The target resolution for the enhanced video. Some options may be unavailable depending on the selected `model`. | +| `video` | VIDEO | Yes | N/A | The input video file to be enhanced. | + +**Constraints:** + +* The input `video` must be between 0.5 seconds and 60 minutes (3600 seconds) in duration. +* The selected `resolution` must be larger than the input video's dimensions. If the video is square, the selected resolution must be larger than its width/height. For non-square videos, the selected resolution must be larger than the video's shorter dimension. If the target resolution is smaller, an error will be raised. Choose `"original"` to keep the input video's resolution. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The enhanced video file. | diff --git a/built-in-nodes/Hunyuan3Dv2Conditioning.mdx b/built-in-nodes/Hunyuan3Dv2Conditioning.mdx new file mode 100644 index 000000000..54ce84911 --- /dev/null +++ b/built-in-nodes/Hunyuan3Dv2Conditioning.mdx @@ -0,0 +1,22 @@ +--- +title: "Hunyuan3Dv2Conditioning - ComfyUI Built-in Node Documentation" +description: "The Hunyuan3Dv2Conditioning node processes CLIP vision output to generate conditioning data for video models. It extracts the last hidden state embeddings from the vision output and creates both po..." +sidebarTitle: "Hunyuan3Dv2Conditioning" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/en.md) + +The Hunyuan3Dv2Conditioning node processes CLIP vision output to generate conditioning data for video models. It extracts the last hidden state embeddings from the vision output and creates both positive and negative conditioning pairs. The positive conditioning uses the actual embeddings while the negative conditioning uses zero-valued embeddings of the same shape. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip_vision_output` | CLIP_VISION_OUTPUT | Yes | - | The output from a CLIP vision model containing visual embeddings | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Positive conditioning data containing the CLIP vision embeddings | +| `negative` | CONDITIONING | Negative conditioning data containing zero-valued embeddings matching the positive embeddings shape | diff --git a/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx b/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx new file mode 100644 index 000000000..c8761ea2b --- /dev/null +++ b/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx @@ -0,0 +1,27 @@ +--- +title: "Hunyuan3Dv2ConditioningMultiView - ComfyUI Built-in Node Documentation" +description: "The Hunyuan3Dv2ConditioningMultiView node processes multi-view CLIP vision embeddings for 3D video generation. It takes optional front, left, back, and right view embeddings and combines them with ..." +sidebarTitle: "Hunyuan3Dv2ConditioningMultiView" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/en.md) + +The Hunyuan3Dv2ConditioningMultiView node processes multi-view CLIP vision embeddings for 3D video generation. It takes optional front, left, back, and right view embeddings and combines them with positional encoding to create conditioning data for video models. The node outputs both positive conditioning from the combined embeddings and negative conditioning with zero values. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `front` | CLIP_VISION_OUTPUT | No | - | CLIP vision output for the front view | +| `left` | CLIP_VISION_OUTPUT | No | - | CLIP vision output for the left view | +| `back` | CLIP_VISION_OUTPUT | No | - | CLIP vision output for the back view | +| `right` | CLIP_VISION_OUTPUT | No | - | CLIP vision output for the right view | + +**Note:** At least one view input must be provided for the node to function. The node will only process views that contain valid CLIP vision output data. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Positive conditioning containing the combined multi-view embeddings with positional encoding | +| `negative` | CONDITIONING | Negative conditioning with zero values for contrastive learning | diff --git a/built-in-nodes/HunyuanImageToVideo.mdx b/built-in-nodes/HunyuanImageToVideo.mdx new file mode 100644 index 000000000..1b4d7b1d1 --- /dev/null +++ b/built-in-nodes/HunyuanImageToVideo.mdx @@ -0,0 +1,35 @@ +--- +title: "HunyuanImageToVideo - ComfyUI Built-in Node Documentation" +description: "The HunyuanImageToVideo node converts images into video latent representations using the Hunyuan video model. It takes conditioning inputs and optional starting images to generate video latents tha..." +sidebarTitle: "HunyuanImageToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanImageToVideo/en.md) + +The HunyuanImageToVideo node converts images into video latent representations using the Hunyuan video model. It takes conditioning inputs and optional starting images to generate video latents that can be further processed by video generation models. The node supports different guidance types for controlling how the starting image influences the video generation process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning input for guiding the video generation | +| `vae` | VAE | Yes | - | VAE model used for encoding images into latent space | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Width of the output video in pixels (default: 848, step: 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Height of the output video in pixels (default: 480, step: 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the output video (default: 53, step: 4) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | +| `guidance_type` | COMBO | Yes | "v1 (concat)"
"v2 (replace)"
"custom" | Method for incorporating the starting image into video generation | +| `start_image` | IMAGE | No | - | Optional starting image to initialize the video generation | + +**Note:** When `start_image` is provided, the node uses different guidance methods based on the selected `guidance_type`: + +- "v1 (concat)": Concatenates the image latent with the video latent +- "v2 (replace)": Replaces initial video frames with the image latent +- "custom": Uses the image as a reference latent for guidance + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Modified positive conditioning with image guidance applied when start_image is provided | +| `latent` | LATENT | Video latent representation ready for further processing by video generation models | diff --git a/built-in-nodes/HunyuanRefinerLatent.mdx b/built-in-nodes/HunyuanRefinerLatent.mdx new file mode 100644 index 000000000..d682270fb --- /dev/null +++ b/built-in-nodes/HunyuanRefinerLatent.mdx @@ -0,0 +1,26 @@ +--- +title: "HunyuanRefinerLatent - ComfyUI Built-in Node Documentation" +description: "The HunyuanRefinerLatent node processes conditioning and latent inputs for refinement operations. It applies noise augmentation to both positive and negative conditioning while incorporating latent..." +sidebarTitle: "HunyuanRefinerLatent" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanRefinerLatent/en.md) + +The HunyuanRefinerLatent node processes conditioning and latent inputs for refinement operations. It applies noise augmentation to both positive and negative conditioning while incorporating latent image data, and generates a new latent output with specific dimensions for further processing. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The positive conditioning input to be processed | +| `negative` | CONDITIONING | Yes | - | The negative conditioning input to be processed | +| `latent` | LATENT | Yes | - | The latent representation input | +| `noise_augmentation` | FLOAT | Yes | 0.0 - 1.0 | The amount of noise augmentation to apply (default: 0.10) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The processed positive conditioning with applied noise augmentation and latent image concatenation | +| `negative` | CONDITIONING | The processed negative conditioning with applied noise augmentation and latent image concatenation | +| `latent` | LATENT | A new latent output with dimensions [batch_size, 32, height, width, channels] | diff --git a/built-in-nodes/HunyuanVideo15ImageToVideo.mdx b/built-in-nodes/HunyuanVideo15ImageToVideo.mdx new file mode 100644 index 000000000..a83c21cf6 --- /dev/null +++ b/built-in-nodes/HunyuanVideo15ImageToVideo.mdx @@ -0,0 +1,33 @@ +--- +title: "HunyuanVideo15ImageToVideo - ComfyUI Built-in Node Documentation" +description: "The HunyuanVideo15ImageToVideo node prepares conditioning and latent space data for video generation based on the HunyuanVideo 1.5 model. It creates an initial latent representation for a video seq..." +sidebarTitle: "HunyuanVideo15ImageToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/en.md) + +The HunyuanVideo15ImageToVideo node prepares conditioning and latent space data for video generation based on the HunyuanVideo 1.5 model. It creates an initial latent representation for a video sequence and can optionally integrate a starting image or a CLIP vision output to guide the generation process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The positive conditioning prompts that describe what the video should contain. | +| `negative` | CONDITIONING | Yes | - | The negative conditioning prompts that describe what the video should avoid. | +| `vae` | VAE | Yes | - | The VAE (Variational Autoencoder) model used to encode the starting image into the latent space. | +| `width` | INT | No | 16 to MAX_RESOLUTION | The width of the output video frames in pixels. Must be divisible by 16. (default: 848) | +| `height` | INT | No | 16 to MAX_RESOLUTION | The height of the output video frames in pixels. Must be divisible by 16. (default: 480) | +| `length` | INT | No | 1 to MAX_RESOLUTION | The total number of frames in the video sequence. (default: 33) | +| `batch_size` | INT | No | 1 to 4096 | The number of video sequences to generate in a single batch. (default: 1) | +| `start_image` | IMAGE | No | - | An optional starting image to initialize the video generation. If provided, it is encoded and used to condition the first frames. | +| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision embeddings to provide additional visual conditioning for the generation. | + +**Note:** When a `start_image` is provided, it is automatically resized to match the specified `width` and `height` using bilinear interpolation. The first `length` frames of the image batch are used. The encoded image is then added to both the `positive` and `negative` conditioning as a `concat_latent_image` with a corresponding `concat_mask`. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The modified positive conditioning, which may now include the encoded starting image or CLIP vision output. | +| `negative` | CONDITIONING | The modified negative conditioning, which may now include the encoded starting image or CLIP vision output. | +| `latent` | LATENT | An empty latent tensor with dimensions configured for the specified batch size, video length, width, and height. | diff --git a/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx b/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx new file mode 100644 index 000000000..df5254bdc --- /dev/null +++ b/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx @@ -0,0 +1,28 @@ +--- +title: "HunyuanVideo15LatentUpscaleWithModel - ComfyUI Built-in Node Documentation" +description: "The Hunyuan Video 15 Latent Upscale With Model node increases the resolution of a latent image representation. It first upscales the latent samples to a specified size using a chosen interpolation ..." +sidebarTitle: "HunyuanVideo15LatentUpscaleWithModel" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/en.md) + +The Hunyuan Video 15 Latent Upscale With Model node increases the resolution of a latent image representation. It first upscales the latent samples to a specified size using a chosen interpolation method, then refines the upscaled result using a specialized Hunyuan Video 1.5 upscale model to improve quality. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | LATENT_UPSCALE_MODEL | Yes | N/A | The Hunyuan Video 1.5 latent upscale model used to refine the upscaled samples. | +| `samples` | LATENT | Yes | N/A | The latent image representation to be upscaled. | +| `upscale_method` | COMBO | No | `"nearest-exact"`
`"bilinear"`
`"area"`
`"bicubic"`
`"bislerp"` | The interpolation algorithm used for the initial upscaling step (default: `"bilinear"`). | +| `width` | INT | No | 0 to 16384 | The target width for the upscaled latent, in pixels. A value of 0 will calculate the width automatically based on the target height and the original aspect ratio. The final output width will be a multiple of 16 (default: 1280). | +| `height` | INT | No | 0 to 16384 | The target height for the upscaled latent, in pixels. A value of 0 will calculate the height automatically based on the target width and the original aspect ratio. The final output height will be a multiple of 16 (default: 720). | +| `crop` | COMBO | No | `"disabled"`
`"center"` | Determines how the upscaled latent is cropped to fit the target dimensions. | + +**Note on Dimensions:** If both `width` and `height` are set to 0, the node returns the input `samples` unchanged. If only one dimension is set to 0, the other dimension is calculated to preserve the original aspect ratio. The final dimensions are always adjusted to be at least 64 pixels and are divisible by 16. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `LATENT` | LATENT | The upscaled and model-refined latent image representation. | diff --git a/built-in-nodes/HunyuanVideo15SuperResolution.mdx b/built-in-nodes/HunyuanVideo15SuperResolution.mdx new file mode 100644 index 000000000..5b039f1a3 --- /dev/null +++ b/built-in-nodes/HunyuanVideo15SuperResolution.mdx @@ -0,0 +1,31 @@ +--- +title: "HunyuanVideo15SuperResolution - ComfyUI Built-in Node Documentation" +description: "The HunyuanVideo15SuperResolution node prepares conditioning data for a video super-resolution process. It takes a latent representation of a video and, optionally, a starting image, and packages t..." +sidebarTitle: "HunyuanVideo15SuperResolution" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/en.md) + +The HunyuanVideo15SuperResolution node prepares conditioning data for a video super-resolution process. It takes a latent representation of a video and, optionally, a starting image, and packages them along with noise augmentation and CLIP vision data into a format that can be used by a model to generate a higher-resolution output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | N/A | The positive conditioning input to be modified with latent and augmentation data. | +| `negative` | CONDITIONING | Yes | N/A | The negative conditioning input to be modified with latent and augmentation data. | +| `vae` | VAE | No | N/A | The VAE used to encode the optional `start_image`. Required if `start_image` is provided. | +| `start_image` | IMAGE | No | N/A | An optional starting image to guide the super-resolution. If provided, it will be upscaled and encoded into the conditioning latent. | +| `clip_vision_output` | CLIP_VISION_OUTPUT | No | N/A | Optional CLIP vision embeddings to add to the conditioning. | +| `latent` | LATENT | Yes | N/A | The input latent video representation that will be incorporated into the conditioning. | +| `noise_augmentation` | FLOAT | No | 0.0 - 1.0 | The strength of noise augmentation to apply to the conditioning (default: 0.70). | + +**Note:** If you provide a `start_image`, you must also connect a `vae` for it to be encoded. The `start_image` will be automatically upscaled to match the dimensions implied by the input `latent`. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The modified positive conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data. | +| `negative` | CONDITIONING | The modified negative conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data. | +| `latent` | LATENT | The input latent is passed through unchanged. | diff --git a/built-in-nodes/HyperTile.mdx b/built-in-nodes/HyperTile.mdx new file mode 100644 index 000000000..06a4ec8a2 --- /dev/null +++ b/built-in-nodes/HyperTile.mdx @@ -0,0 +1,25 @@ +--- +title: "HyperTile - ComfyUI Built-in Node Documentation" +description: "The HyperTile node applies a tiling technique to the attention mechanism in diffusion models to optimize memory usage during image generation. It divides the latent space into smaller tiles and pro..." +sidebarTitle: "HyperTile" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HyperTile/en.md) + +The HyperTile node applies a tiling technique to the attention mechanism in diffusion models to optimize memory usage during image generation. It divides the latent space into smaller tiles and processes them separately, then reassembles the results. This allows for working with larger image sizes without running out of memory. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to apply the HyperTile optimization to | +| `tile_size` | INT | No | 1-2048 | The target tile size for processing (default: 256) | +| `swap_size` | INT | No | 1-128 | Controls how the tiles are rearranged during processing (default: 2) | +| `max_depth` | INT | No | 0-10 | Maximum depth level to apply tiling (default: 0) | +| `scale_depth` | BOOLEAN | No | - | Whether to scale tile size based on depth level (default: False) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with HyperTile optimization applied | diff --git a/built-in-nodes/HypernetworkLoader.mdx b/built-in-nodes/HypernetworkLoader.mdx new file mode 100644 index 000000000..8e09b3364 --- /dev/null +++ b/built-in-nodes/HypernetworkLoader.mdx @@ -0,0 +1,23 @@ +--- +title: "HypernetworkLoader - ComfyUI Built-in Node Documentation" +description: "This node will detect models located in the `ComfyUI/models/hypernetworks` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you m..." +sidebarTitle: "HypernetworkLoader" +icon: "circle" +--- +This node will detect models located in the `ComfyUI/models/hypernetworks` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to **refresh the ComfyUI interface** to allow it to read the model files from the corresponding folder. + +The HypernetworkLoader node is designed to enhance or modify the capabilities of a given model by applying a hypernetwork. It loads a specified hypernetwork and applies it to the model, potentially altering its behavior or performance based on the strength parameter. This process allows for dynamic adjustments to the model's architecture or parameters, enabling more flexible and adaptive AI systems. + +## Inputs + +| Field | Comfy dtype | Description | +|-----------------------|-------------------|----------------------------------------------------------------------------------------------| +| `model` | `MODEL` | The base model to which the hypernetwork will be applied, determining the architecture to be enhanced or modified. | +| `hypernetwork_name` | `COMBO[STRING]` | The name of the hypernetwork to be loaded and applied to the model, impacting the model's modified behavior or performance. | +| `strength` | `FLOAT` | A scalar adjusting the intensity of the hypernetwork's effect on the model, allowing fine-tuning of the alterations. | + +## Outputs + +| Field | Data Type | Description | +|---------|-------------|--------------------------------------------------------------------------| +| `model` | `MODEL` | The modified model after the hypernetwork has been applied, showcasing the impact of the hypernetwork on the original model. | diff --git a/built-in-nodes/IdeogramV1.mdx b/built-in-nodes/IdeogramV1.mdx new file mode 100644 index 000000000..756d7809f --- /dev/null +++ b/built-in-nodes/IdeogramV1.mdx @@ -0,0 +1,29 @@ +--- +title: "IdeogramV1 - ComfyUI Built-in Node Documentation" +description: "The IdeogramV1 node generates images using the Ideogram V1 model through an API. It takes text prompts and various generation settings to create one or more images based on your input. The node sup..." +sidebarTitle: "IdeogramV1" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV1/en.md) + +The IdeogramV1 node generates images using the Ideogram V1 model through an API. It takes text prompts and various generation settings to create one or more images based on your input. The node supports different aspect ratios and generation modes to customize the output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty) | +| `turbo` | BOOLEAN | Yes | - | Whether to use turbo mode (faster generation, potentially lower quality) (default: False) | +| `aspect_ratio` | COMBO | No | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | The aspect ratio for image generation (default: "1:1") | +| `magic_prompt_option` | COMBO | No | "AUTO"
"ON"
"OFF" | Determine if MagicPrompt should be used in generation (default: "AUTO") | +| `seed` | INT | No | 0-2147483647 | Random seed value for generation (default: 0) | +| `negative_prompt` | STRING | No | - | Description of what to exclude from the image (default: empty) | +| `num_images` | INT | No | 1-8 | Number of images to generate (default: 1) | + +**Note:** The `num_images` parameter has a maximum limit of 8 images per generation request. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The generated image(s) from the Ideogram V1 model | diff --git a/built-in-nodes/IdeogramV2.mdx b/built-in-nodes/IdeogramV2.mdx new file mode 100644 index 000000000..3f2b61008 --- /dev/null +++ b/built-in-nodes/IdeogramV2.mdx @@ -0,0 +1,31 @@ +--- +title: "IdeogramV2 - ComfyUI Built-in Node Documentation" +description: "The Ideogram V2 node generates images using the Ideogram V2 AI model. It takes text prompts and various generation settings to create images through an API service. The node supports different aspe..." +sidebarTitle: "IdeogramV2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV2/en.md) + +The Ideogram V2 node generates images using the Ideogram V2 AI model. It takes text prompts and various generation settings to create images through an API service. The node supports different aspect ratios, resolutions, and style options to customize the output images. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string) | +| `turbo` | BOOLEAN | No | - | Whether to use turbo mode (faster generation, potentially lower quality) (default: False) | +| `aspect_ratio` | COMBO | No | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | The aspect ratio for image generation. Ignored if resolution is not set to AUTO. (default: "1:1") | +| `resolution` | COMBO | No | "Auto"
"1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | The resolution for image generation. If not set to AUTO, this overrides the aspect_ratio setting. (default: "Auto") | +| `magic_prompt_option` | COMBO | No | "AUTO"
"ON"
"OFF" | Determine if MagicPrompt should be used in generation (default: "AUTO") | +| `seed` | INT | No | 0-2147483647 | Random seed for generation (default: 0) | +| `style_type` | COMBO | No | "AUTO"
"GENERAL"
"REALISTIC"
"DESIGN"
"RENDER_3D"
"ANIME" | Style type for generation (V2 only) (default: "NONE") | +| `negative_prompt` | STRING | No | - | Description of what to exclude from the image (default: empty string) | +| `num_images` | INT | No | 1-8 | Number of images to generate (default: 1) | + +**Note:** When `resolution` is not set to "Auto", it overrides the `aspect_ratio` setting. The `num_images` parameter has a maximum limit of 8 images per generation. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The generated image(s) from the Ideogram V2 model | diff --git a/built-in-nodes/IdeogramV3.mdx b/built-in-nodes/IdeogramV3.mdx new file mode 100644 index 000000000..46d03eb92 --- /dev/null +++ b/built-in-nodes/IdeogramV3.mdx @@ -0,0 +1,40 @@ +--- +title: "IdeogramV3 - ComfyUI Built-in Node Documentation" +description: "The Ideogram V3 node generates images using the Ideogram V3 model. It supports both regular image generation from text prompts and image editing when both an image and mask are provided. The node o..." +sidebarTitle: "IdeogramV3" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV3/en.md) + +The Ideogram V3 node generates images using the Ideogram V3 model. It supports both regular image generation from text prompts and image editing when both an image and mask are provided. The node offers various controls for aspect ratio, resolution, generation speed, and optional character reference images. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Prompt for the image generation or editing (default: empty) | +| `image` | IMAGE | No | - | Optional reference image for image editing | +| `mask` | MASK | No | - | Optional mask for inpainting (white areas will be replaced) | +| `aspect_ratio` | COMBO | No | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | The aspect ratio for image generation. Ignored if resolution is not set to Auto (default: "1:1") | +| `resolution` | COMBO | No | "Auto"
"1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | The resolution for image generation. If not set to Auto, this overrides the aspect_ratio setting (default: "Auto") | +| `magic_prompt_option` | COMBO | No | "AUTO"
"ON"
"OFF" | Determine if MagicPrompt should be used in generation (default: "AUTO") | +| `seed` | INT | No | 0-2147483647 | Random seed for generation (default: 0) | +| `num_images` | INT | No | 1-8 | Number of images to generate (default: 1) | +| `rendering_speed` | COMBO | No | "DEFAULT"
"TURBO"
"QUALITY" | Controls the trade-off between generation speed and quality (default: "DEFAULT") | +| `character_image` | IMAGE | No | - | Image to use as character reference | +| `character_mask` | MASK | No | - | Optional mask for character reference image | + +**Parameter Constraints:** + +- When both `image` and `mask` are provided, the node switches to editing mode +- If only one of `image` or `mask` is provided, an error will occur +- `character_mask` requires `character_image` to be present +- The `aspect_ratio` parameter is ignored when `resolution` is not set to "Auto" +- White areas in the mask will be replaced during inpainting +- Character mask and character image must be the same size + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The generated or edited image(s) | diff --git a/built-in-nodes/ImageAddNoise.mdx b/built-in-nodes/ImageAddNoise.mdx new file mode 100644 index 000000000..8b1d29b0b --- /dev/null +++ b/built-in-nodes/ImageAddNoise.mdx @@ -0,0 +1,23 @@ +--- +title: "ImageAddNoise - ComfyUI Built-in Node Documentation" +description: "The ImageAddNoise node adds random noise to an input image. It uses a specified random seed to generate consistent noise patterns and allows controlling the intensity of the noise effect. The resul..." +sidebarTitle: "ImageAddNoise" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageAddNoise/en.md) + +The ImageAddNoise node adds random noise to an input image. It uses a specified random seed to generate consistent noise patterns and allows controlling the intensity of the noise effect. The resulting image maintains the same dimensions as the input but with added visual texture. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to which noise will be added | +| `seed` | INT | Yes | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0) | +| `strength` | FLOAT | Yes | 0.0 to 1.0 | Controls the intensity of the noise effect (default: 0.5) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The output image with added noise applied | diff --git a/built-in-nodes/ImageBatch.mdx b/built-in-nodes/ImageBatch.mdx new file mode 100644 index 000000000..9ae38e2c7 --- /dev/null +++ b/built-in-nodes/ImageBatch.mdx @@ -0,0 +1,20 @@ +--- +title: "ImageBatch - ComfyUI Built-in Node Documentation" +description: "The `ImageBatch` node is designed for combining two images into a single batch. If the dimensions of the images do not match, it automatically rescales the second image to match the first one's dim..." +sidebarTitle: "ImageBatch" +icon: "circle" +--- +The `ImageBatch` node is designed for combining two images into a single batch. If the dimensions of the images do not match, it automatically rescales the second image to match the first one's dimensions before combining them. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image1` | `IMAGE` | The first image to be combined into the batch. It serves as the reference for the dimensions to which the second image will be adjusted if necessary. | +| `image2` | `IMAGE` | The second image to be combined into the batch. It is automatically rescaled to match the dimensions of the first image if they differ. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The combined batch of images, with the second image rescaled to match the first one's dimensions if needed. | diff --git a/built-in-nodes/ImageBlend.mdx b/built-in-nodes/ImageBlend.mdx new file mode 100644 index 000000000..13e160e16 --- /dev/null +++ b/built-in-nodes/ImageBlend.mdx @@ -0,0 +1,22 @@ +--- +title: "ImageBlend - ComfyUI Built-in Node Documentation" +description: "The `ImageBlend` node is designed to blend two images together based on a specified blending mode and blend factor. It supports various blending modes such as normal, multiply, screen, overlay, sof..." +sidebarTitle: "ImageBlend" +icon: "circle" +--- +The `ImageBlend` node is designed to blend two images together based on a specified blending mode and blend factor. It supports various blending modes such as normal, multiply, screen, overlay, soft light, and difference, allowing for versatile image manipulation and compositing techniques. This node is essential for creating composite images by adjusting the visual interaction between two image layers. + +## Inputs + +| Field | Data Type | Description | +|---------------|-------------|-----------------------------------------------------------------------------------| +| `image1` | `IMAGE` | The first image to be blended. It serves as the base layer for the blending operation. | +| `image2` | `IMAGE` | The second image to be blended. Depending on the blend mode, it modifies the appearance of the first image. | +| `blend_factor`| `FLOAT` | Determines the weight of the second image in the blend. A higher blend factor gives more prominence to the second image in the resulting blend. | +| `blend_mode` | COMBO[STRING] | Specifies the method of blending the two images. Supports modes like normal, multiply, screen, overlay, soft light, and difference, each producing a unique visual effect. | + +## Outputs + +| Field | Data Type | Description | +|-------|-------------|--------------------------------------------------------------------------| +| `image`| `IMAGE` | The resulting image after blending the two input images according to the specified blend mode and factor. | diff --git a/built-in-nodes/ImageBlur.mdx b/built-in-nodes/ImageBlur.mdx new file mode 100644 index 000000000..a196746b0 --- /dev/null +++ b/built-in-nodes/ImageBlur.mdx @@ -0,0 +1,21 @@ +--- +title: "ImageBlur - ComfyUI Built-in Node Documentation" +description: "The `ImageBlur` node applies a Gaussian blur to an image, allowing for the softening of edges and reduction of detail and noise. It provides control over the intensity and spread of the blur throug..." +sidebarTitle: "ImageBlur" +icon: "circle" +--- +The `ImageBlur` node applies a Gaussian blur to an image, allowing for the softening of edges and reduction of detail and noise. It provides control over the intensity and spread of the blur through parameters. + +## Inputs + +| Field | Data Type | Description | +|----------------|-------------|-------------------------------------------------------------------------------| +| `image` | `IMAGE` | The input image to be blurred. This is the primary target for the blur effect. | +| `blur_radius` | `INT` | Determines the radius of the blur effect. A larger radius results in a more pronounced blur. | +| `sigma` | `FLOAT` | Controls the spread of the blur. A higher sigma value means the blur will affect a wider area around each pixel. | + +## Outputs + +| Field | Data Type | Description | +|-------|-------------|--------------------------------------------------------------------------| +| `image`| `IMAGE` | The output is the blurred version of the input image, with the degree of blur determined by the input parameters. | diff --git a/built-in-nodes/ImageColorToMask.mdx b/built-in-nodes/ImageColorToMask.mdx new file mode 100644 index 000000000..608e11919 --- /dev/null +++ b/built-in-nodes/ImageColorToMask.mdx @@ -0,0 +1,20 @@ +--- +title: "ImageColorToMask - ComfyUI Built-in Node Documentation" +description: "The `ImageColorToMask` node is designed to convert a specified color in an image to a mask. It processes an image and a target color, generating a mask where the specified color is highlighted, fac..." +sidebarTitle: "ImageColorToMask" +icon: "circle" +--- +The `ImageColorToMask` node is designed to convert a specified color in an image to a mask. It processes an image and a target color, generating a mask where the specified color is highlighted, facilitating operations like color-based segmentation or object isolation. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The 'image' parameter represents the input image to be processed. It is crucial for determining the areas of the image that match the specified color to be converted into a mask. | +| `color` | `INT` | The 'color' parameter specifies the target color in the image to be converted into a mask. It plays a key role in identifying the specific color areas to be highlighted in the resulting mask. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `mask` | `MASK` | The output is a mask highlighting the areas of the input image that match the specified color. This mask can be used for further image processing tasks, such as segmentation or object isolation. | diff --git a/built-in-nodes/ImageCompare.mdx b/built-in-nodes/ImageCompare.mdx new file mode 100644 index 000000000..94503dbcf --- /dev/null +++ b/built-in-nodes/ImageCompare.mdx @@ -0,0 +1,23 @@ +--- +title: "ImageCompare - ComfyUI Built-in Node Documentation" +description: "The Image Compare node provides a visual interface to compare two images side-by-side using a draggable slider. It is designed as an output node, meaning it does not pass data to other nodes but in..." +sidebarTitle: "ImageCompare" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompare/en.md) + +The Image Compare node provides a visual interface to compare two images side-by-side using a draggable slider. It is designed as an output node, meaning it does not pass data to other nodes but instead displays the images directly in the user interface for inspection. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image_a` | IMAGE | No | - | The first image to compare. | +| `image_b` | IMAGE | No | - | The second image to compare. | +| `compare_view` | IMAGECOMPARE | Yes | - | The control that enables the slider comparison view in the UI. | + +**Note:** This node is an output node. While `image_a` and `image_b` are optional, at least one image must be provided for the node to have a visible effect. The node will display an empty area for any image input that is not connected. + +## Outputs + +This node is an output node and does not produce any data outputs for use in other nodes. Its function is to display the provided images in the ComfyUI interface. diff --git a/built-in-nodes/ImageCompositeMasked.mdx b/built-in-nodes/ImageCompositeMasked.mdx new file mode 100644 index 000000000..27f7f0453 --- /dev/null +++ b/built-in-nodes/ImageCompositeMasked.mdx @@ -0,0 +1,24 @@ +--- +title: "ImageCompositeMasked - ComfyUI Built-in Node Documentation" +description: "The `ImageCompositeMasked` node is designed for compositing images, allowing for the overlay of a source image onto a destination image at specified coordinates, with optional resizing and masking." +sidebarTitle: "ImageCompositeMasked" +icon: "circle" +--- +The `ImageCompositeMasked` node is designed for compositing images, allowing for the overlay of a source image onto a destination image at specified coordinates, with optional resizing and masking. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `destination` | `IMAGE` | The destination image onto which the source image will be composited. It serves as the background for the composite operation. | +| `source` | `IMAGE` | The source image to be composited onto the destination image. This image can optionally be resized to fit the destination image's dimensions. | +| `x` | `INT` | The x-coordinate in the destination image where the top-left corner of the source image will be placed. | +| `y` | `INT` | The y-coordinate in the destination image where the top-left corner of the source image will be placed. | +| `resize_source` | `BOOLEAN` | A boolean flag indicating whether the source image should be resized to match the destination image's dimensions. | +| `mask` | `MASK` | An optional mask that specifies which parts of the source image should be composited onto the destination image. This allows for more complex compositing operations, such as blending or partial overlays. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The resulting image after the compositing operation, which combines elements of both t diff --git a/built-in-nodes/ImageCrop.mdx b/built-in-nodes/ImageCrop.mdx new file mode 100644 index 000000000..8b3f125b2 --- /dev/null +++ b/built-in-nodes/ImageCrop.mdx @@ -0,0 +1,23 @@ +--- +title: "ImageCrop - ComfyUI Built-in Node Documentation" +description: "The `ImageCrop` node is designed for cropping images to a specified width and height starting from a given x and y coordinate. This functionality is essential for focusing on specific regions of an..." +sidebarTitle: "ImageCrop" +icon: "circle" +--- +The `ImageCrop` node is designed for cropping images to a specified width and height starting from a given x and y coordinate. This functionality is essential for focusing on specific regions of an image or for adjusting the image size to meet certain requirements. + +## Inputs + +| Field | Data Type | Description | +|-------|-------------|-----------------------------------------------------------------------------------------------| +| `image` | `IMAGE` | The input image to be cropped. This parameter is crucial as it defines the source image from which a region will be extracted based on the specified dimensions and coordinates. | +| `width` | `INT` | Specifies the width of the cropped image. This parameter determines how wide the resulting cropped image will be. | +| `height` | `INT` | Specifies the height of the cropped image. This parameter determines the height of the resulting cropped image. | +| `x` | `INT` | The x-coordinate of the top-left corner of the cropping area. This parameter sets the starting point for the width dimension of the crop. | +| `y` | `INT` | The y-coordinate of the top-left corner of the cropping area. This parameter sets the starting point for the height dimension of the crop. | + +## Outputs + +| Field | Data Type | Description | +|-------|-------------|-------------------------------------------------------------------------------| +| `image` | `IMAGE` | The cropped image as a result of the cropping operation. This output is significant for further processing or analysis of the specified image region. | diff --git a/built-in-nodes/ImageCropV2.mdx b/built-in-nodes/ImageCropV2.mdx new file mode 100644 index 000000000..9e974e215 --- /dev/null +++ b/built-in-nodes/ImageCropV2.mdx @@ -0,0 +1,24 @@ +--- +title: "ImageCropV2 - ComfyUI Built-in Node Documentation" +description: "The Image Crop node extracts a rectangular section from an input image. You define the region to keep by specifying its top-left corner coordinates and its width and height. The node then returns t..." +sidebarTitle: "ImageCropV2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/en.md) + +The Image Crop node extracts a rectangular section from an input image. You define the region to keep by specifying its top-left corner coordinates and its width and height. The node then returns the cropped portion of the original image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | N/A | The input image to be cropped. | +| `crop_region` | BOUNDINGBOX | Yes | N/A | Defines the rectangular area to extract from the image. It is specified by `x` (horizontal start), `y` (vertical start), `width`, and `height`. If the defined region extends beyond the image's borders, it will be automatically adjusted to fit within the image dimensions. | + +**Note on Region Constraints:** The crop region is automatically constrained to stay within the bounds of the input image. If the specified `x` or `y` coordinate is greater than the image's width or height, it will be set to the maximum valid position. The resulting crop width and height will be adjusted so the region does not exceed the image's edges. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The cropped section of the original input image. | diff --git a/built-in-nodes/ImageDeduplication.mdx b/built-in-nodes/ImageDeduplication.mdx new file mode 100644 index 000000000..9fe674c19 --- /dev/null +++ b/built-in-nodes/ImageDeduplication.mdx @@ -0,0 +1,22 @@ +--- +title: "ImageDeduplication - ComfyUI Built-in Node Documentation" +description: "This node removes duplicate or very similar images from a batch. It works by creating a perceptual hash for each image—a simple numerical fingerprint based on its visual content—and then comparing ..." +sidebarTitle: "ImageDeduplication" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageDeduplication/en.md) + +This node removes duplicate or very similar images from a batch. It works by creating a perceptual hash for each image—a simple numerical fingerprint based on its visual content—and then comparing them. Images whose hashes are more similar than a set threshold are considered duplicates and filtered out. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | - | The batch of images to process for deduplication. | +| `similarity_threshold` | FLOAT | No | 0.0 - 1.0 | Similarity threshold (0-1). Higher means more similar. Images above this threshold are considered duplicates. (default: 0.95) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `images` | IMAGE | The filtered list of images with duplicates removed. | diff --git a/built-in-nodes/ImageFlip.mdx b/built-in-nodes/ImageFlip.mdx new file mode 100644 index 000000000..25feea13b --- /dev/null +++ b/built-in-nodes/ImageFlip.mdx @@ -0,0 +1,22 @@ +--- +title: "ImageFlip - ComfyUI Built-in Node Documentation" +description: "The ImageFlip node flips images along different axes. It can flip images vertically along the x-axis or horizontally along the y-axis. The node uses torch.flip operations to perform the flipping ba..." +sidebarTitle: "ImageFlip" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFlip/en.md) + +The ImageFlip node flips images along different axes. It can flip images vertically along the x-axis or horizontally along the y-axis. The node uses torch.flip operations to perform the flipping based on the selected method. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be flipped | +| `flip_method` | STRING | Yes | "x-axis: vertically"
"y-axis: horizontally" | The flipping direction to apply | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The flipped output image | diff --git a/built-in-nodes/ImageFromBatch.mdx b/built-in-nodes/ImageFromBatch.mdx new file mode 100644 index 000000000..e5494f1c4 --- /dev/null +++ b/built-in-nodes/ImageFromBatch.mdx @@ -0,0 +1,21 @@ +--- +title: "ImageFromBatch - ComfyUI Built-in Node Documentation" +description: "The `ImageFromBatch` node is designed for extracting a specific segment of images from a batch based on the provided index and length. It allows for more granular control over the batched images, e..." +sidebarTitle: "ImageFromBatch" +icon: "circle" +--- +The `ImageFromBatch` node is designed for extracting a specific segment of images from a batch based on the provided index and length. It allows for more granular control over the batched images, enabling operations on individual or subsets of images within a larger batch. + +## Inputs + +| Field | Data Type | Description | +|----------------|-------------|---------------------------------------------------------------------------------------| +| `image` | `IMAGE` | The batch of images from which a segment will be extracted. This parameter is crucial for specifying the source batch. | +| `batch_index` | `INT` | The starting index within the batch from which the extraction begins. It determines the initial position of the segment to be extracted from the batch. | +| `length` | `INT` | The number of images to extract from the batch starting from the batch_index. This parameter defines the size of the segment to be extracted. | + +## Outputs + +| Field | Data Type | Description | +|-------|-------------|-----------------------------------------------------------------------------------------------| +| `image` | `IMAGE` | The extracted segment of images from the specified batch. This output represents a subset of the original batch, determined by the batch_index and length parameters. | diff --git a/built-in-nodes/ImageGrid.mdx b/built-in-nodes/ImageGrid.mdx new file mode 100644 index 000000000..367e37c44 --- /dev/null +++ b/built-in-nodes/ImageGrid.mdx @@ -0,0 +1,25 @@ +--- +title: "ImageGrid - ComfyUI Built-in Node Documentation" +description: "The Image Grid node combines multiple images into a single, organized grid or collage. It takes a list of images and arranges them into a specified number of columns, resizing each image to fit a d..." +sidebarTitle: "ImageGrid" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageGrid/en.md) + +The Image Grid node combines multiple images into a single, organized grid or collage. It takes a list of images and arranges them into a specified number of columns, resizing each image to fit a defined cell size and adding optional padding between them. The result is a single, new image containing all the input images in a grid layout. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | - | A list of images to be arranged into the grid. The node requires at least one image to function. | +| `columns` | INT | No | 1 - 20 | The number of columns in the grid (default: 4). | +| `cell_width` | INT | No | 32 - 2048 | The width, in pixels, of each cell in the grid (default: 256). | +| `cell_height` | INT | No | 32 - 2048 | The height, in pixels, of each cell in the grid (default: 256). | +| `padding` | INT | No | 0 - 50 | The amount of padding, in pixels, to place between images in the grid (default: 4). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The single output image containing all the input images arranged in a grid. | diff --git a/built-in-nodes/ImageInvert.mdx b/built-in-nodes/ImageInvert.mdx new file mode 100644 index 000000000..6e6011fc3 --- /dev/null +++ b/built-in-nodes/ImageInvert.mdx @@ -0,0 +1,19 @@ +--- +title: "ImageInvert - ComfyUI Built-in Node Documentation" +description: "The `ImageInvert` node is designed to invert the colors of an image, effectively transforming each pixel's color value to its complementary color on the color wheel. This operation is useful for cr..." +sidebarTitle: "ImageInvert" +icon: "circle" +--- +The `ImageInvert` node is designed to invert the colors of an image, effectively transforming each pixel's color value to its complementary color on the color wheel. This operation is useful for creating negative images or for visual effects that require color inversion. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The 'image' parameter represents the input image to be inverted. It is crucial for specifying the target image whose colors are to be inverted, affecting the node's execution and the visual outcome of the inversion process. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The output is an inverted version of the input image, with each pixel's color value transformed to its complementary color. | diff --git a/built-in-nodes/ImageOnlyCheckpointLoader.mdx b/built-in-nodes/ImageOnlyCheckpointLoader.mdx new file mode 100644 index 000000000..abcace694 --- /dev/null +++ b/built-in-nodes/ImageOnlyCheckpointLoader.mdx @@ -0,0 +1,23 @@ +--- +title: "ImageOnlyCheckpointLoader - ComfyUI Built-in Node Documentation" +description: "This node will detect models located in the `ComfyUI/models/checkpoints` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may..." +sidebarTitle: "ImageOnlyCheckpointLoader" +icon: "circle" +--- +This node will detect models located in the `ComfyUI/models/checkpoints` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to **refresh the ComfyUI interface** to allow it to read the model files from the corresponding folder. + +This node specializes in loading checkpoints specifically for image-based models within video generation workflows. It efficiently retrieves and configures the necessary components from a given checkpoint, focusing on image-related aspects of the model. + +## Inputs + +| Field | Data Type | Description | +|------------|-------------|-----------------------------------------------------------------------------------| +| `ckpt_name`| COMBO[STRING] | Specifies the name of the checkpoint to load, crucial for identifying and retrieving the correct checkpoint file from a predefined list. | + +## Outputs + +| Field | Data Type | Description | +|-----------|-------------|-----------------------------------------------------------------------------------------------| +| `model` | MODEL | Returns the main model loaded from the checkpoint, configured for image processing within video generation contexts. | +| `clip_vision` | `CLIP_VISION` | Provides the CLIP vision component from the checkpoint, tailored for image understanding and feature extraction. | +| `vae` | VAE | Delivers the Variational Autoencoder (VAE) component, essential for image manipulation and generation tasks. | diff --git a/built-in-nodes/ImageOnlyCheckpointSave.mdx b/built-in-nodes/ImageOnlyCheckpointSave.mdx new file mode 100644 index 000000000..cf9c011ba --- /dev/null +++ b/built-in-nodes/ImageOnlyCheckpointSave.mdx @@ -0,0 +1,26 @@ +--- +title: "ImageOnlyCheckpointSave - ComfyUI Built-in Node Documentation" +description: "The ImageOnlyCheckpointSave node saves a checkpoint file containing a model, CLIP vision encoder, and VAE. It creates a safetensors file with the specified filename prefix and stores it in the outp..." +sidebarTitle: "ImageOnlyCheckpointSave" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointSave/en.md) + +The ImageOnlyCheckpointSave node saves a checkpoint file containing a model, CLIP vision encoder, and VAE. It creates a safetensors file with the specified filename prefix and stores it in the output directory. This node is specifically designed for saving image-related model components together in a single checkpoint file. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to be saved in the checkpoint | +| `clip_vision` | CLIP_VISION | Yes | - | The CLIP vision encoder to be saved in the checkpoint | +| `vae` | VAE | Yes | - | The VAE (Variational Autoencoder) to be saved in the checkpoint | +| `filename_prefix` | STRING | Yes | - | The prefix for the output filename (default: "checkpoints/ComfyUI") | +| `prompt` | PROMPT | No | - | Hidden parameter for workflow prompt data | +| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Hidden parameter for additional PNG metadata | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| - | - | This node does not return any outputs | diff --git a/built-in-nodes/ImagePadForOutpaint.mdx b/built-in-nodes/ImagePadForOutpaint.mdx new file mode 100644 index 000000000..388943a49 --- /dev/null +++ b/built-in-nodes/ImagePadForOutpaint.mdx @@ -0,0 +1,25 @@ +--- +title: "ImagePadForOutpaint - ComfyUI Built-in Node Documentation" +description: "This node is designed for preparing images for the outpainting process by adding padding around them. It adjusts the image dimensions to ensure compatibility with outpainting algorithms, facilitati..." +sidebarTitle: "ImagePadForOutpaint" +icon: "circle" +--- +This node is designed for preparing images for the outpainting process by adding padding around them. It adjusts the image dimensions to ensure compatibility with outpainting algorithms, facilitating the generation of extended image areas beyond the original boundaries. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The 'image' input is the primary image to be prepared for outpainting, serving as the base for padding operations. | +| `left` | `INT` | Specifies the amount of padding to add to the left side of the image, influencing the expanded area for outpainting. | +| `top` | `INT` | Determines the amount of padding to add to the top of the image, affecting the vertical expansion for outpainting. | +| `right` | `INT` | Defines the amount of padding to add to the right side of the image, impacting the horizontal expansion for outpainting. | +| `bottom` | `INT` | Indicates the amount of padding to add to the bottom of the image, contributing to the vertical expansion for outpainting. | +| `feathering` | `INT` | Controls the smoothness of the transition between the original image and the added padding, enhancing the visual integration for outpainting. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The output 'image' represents the padded image, ready for the outpainting process. | +| `mask` | `MASK` | The output 'mask' indicates the areas of the original image and the added padding, useful for guiding the outpainting algorithms. | diff --git a/built-in-nodes/ImageQuantize.mdx b/built-in-nodes/ImageQuantize.mdx new file mode 100644 index 000000000..fe84eaabe --- /dev/null +++ b/built-in-nodes/ImageQuantize.mdx @@ -0,0 +1,21 @@ +--- +title: "ImageQuantize - ComfyUI Built-in Node Documentation" +description: "The ImageQuantize node is designed to reduce the number of colors in an image to a specified number, optionally applying dithering techniques to maintain visual quality. This process is useful for ..." +sidebarTitle: "ImageQuantize" +icon: "circle" +--- +The ImageQuantize node is designed to reduce the number of colors in an image to a specified number, optionally applying dithering techniques to maintain visual quality. This process is useful for creating palette-based images or reducing the color complexity for certain applications. + +## Inputs + +| Field | Data Type | Description | +|---------|-------------|-----------------------------------------------------------------------------------| +| `image` | `IMAGE` | The input image tensor to be quantized. It affects the node's execution by being the primary data upon which color reduction is performed. | +| `colors`| `INT` | Specifies the number of colors to reduce the image to. It directly influences the quantization process by determining the color palette size. | +| `dither`| COMBO[STRING] | Determines the dithering technique to be applied during quantization, affecting the visual quality and appearance of the output image. | + +## Outputs + +| Field | Data Type | Description | +|-------|-------------|-------------------------------------------------------------------------------| +| `image`| `IMAGE` | The quantized version of the input image, with reduced color complexity and optionally dithered to maintain visual quality. | diff --git a/built-in-nodes/ImageRGBToYUV.mdx b/built-in-nodes/ImageRGBToYUV.mdx new file mode 100644 index 000000000..29167646e --- /dev/null +++ b/built-in-nodes/ImageRGBToYUV.mdx @@ -0,0 +1,23 @@ +--- +title: "ImageRGBToYUV - ComfyUI Built-in Node Documentation" +description: "The ImageRGBToYUV node converts RGB color images to the YUV color space. It takes an RGB image as input and separates it into three distinct channels: Y (luminance), U (blue projection), and V (red..." +sidebarTitle: "ImageRGBToYUV" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRGBToYUV/en.md) + +The ImageRGBToYUV node converts RGB color images to the YUV color space. It takes an RGB image as input and separates it into three distinct channels: Y (luminance), U (blue projection), and V (red projection). Each output channel is returned as a separate grayscale image representing the corresponding YUV component. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input RGB image to be converted to YUV color space | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `Y` | IMAGE | The luminance (brightness) component of the YUV color space | +| `U` | IMAGE | The blue projection component of the YUV color space | +| `V` | IMAGE | The red projection component of the YUV color space | diff --git a/built-in-nodes/ImageRotate.mdx b/built-in-nodes/ImageRotate.mdx new file mode 100644 index 000000000..a0d76814b --- /dev/null +++ b/built-in-nodes/ImageRotate.mdx @@ -0,0 +1,22 @@ +--- +title: "ImageRotate - ComfyUI Built-in Node Documentation" +description: "The ImageRotate node rotates an input image by specified angles. It supports four rotation options: no rotation, 90 degrees clockwise, 180 degrees, and 270 degrees clockwise. The rotation is perfor..." +sidebarTitle: "ImageRotate" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRotate/en.md) + +The ImageRotate node rotates an input image by specified angles. It supports four rotation options: no rotation, 90 degrees clockwise, 180 degrees, and 270 degrees clockwise. The rotation is performed using efficient tensor operations that maintain the image data integrity. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be rotated | +| `rotation` | STRING | Yes | "none"
"90 degrees"
"180 degrees"
"270 degrees" | The rotation angle to apply to the image | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The rotated output image | diff --git a/built-in-nodes/ImageScale.mdx b/built-in-nodes/ImageScale.mdx new file mode 100644 index 000000000..be02b7ff9 --- /dev/null +++ b/built-in-nodes/ImageScale.mdx @@ -0,0 +1,23 @@ +--- +title: "ImageScale - ComfyUI Built-in Node Documentation" +description: "The ImageScale node is designed for resizing images to specific dimensions, offering a selection of upscale methods and the ability to crop the resized image. It abstracts the complexity of image u..." +sidebarTitle: "ImageScale" +icon: "circle" +--- +The ImageScale node is designed for resizing images to specific dimensions, offering a selection of upscale methods and the ability to crop the resized image. It abstracts the complexity of image upscaling and cropping, providing a straightforward interface for modifying image dimensions according to user-defined parameters. + +## Inputs + +| Parameter | Data Type | Description | +|-----------------|-------------|---------------------------------------------------------------------------------------| +| `image` | `IMAGE` | The input image to be upscaled. This parameter is central to the node's operation, serving as the primary data upon which resizing transformations are applied. The quality and dimensions of the output image are directly influenced by the original image's properties. | +| `upscale_method`| COMBO[STRING] | Specifies the method used for upscaling the image. The choice of method can affect the quality and characteristics of the upscaled image, influencing the visual fidelity and potential artifacts in the resized output. | +| `width` | `INT` | The target width for the upscaled image. This parameter directly influences the dimensions of the output image, determining the horizontal scale of the resizing operation. | +| `height` | `INT` | The target height for the upscaled image. This parameter directly influences the dimensions of the output image, determining the vertical scale of the resizing operation. | +| `crop` | COMBO[STRING] | Determines whether and how the upscaled image should be cropped, offering options for disabled cropping or center cropping. This affects the final composition of the image by potentially removing edges to fit the specified dimensions. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The upscaled (and optionally cropped) image, ready for further processing or visualization. | diff --git a/built-in-nodes/ImageScaleBy.mdx b/built-in-nodes/ImageScaleBy.mdx new file mode 100644 index 000000000..6c698f852 --- /dev/null +++ b/built-in-nodes/ImageScaleBy.mdx @@ -0,0 +1,21 @@ +--- +title: "ImageScaleBy - ComfyUI Built-in Node Documentation" +description: "The ImageScaleBy node is designed for upscaling images by a specified scale factor using various interpolation methods. It allows for the adjustment of the image size in a flexible manner, catering..." +sidebarTitle: "ImageScaleBy" +icon: "circle" +--- +The ImageScaleBy node is designed for upscaling images by a specified scale factor using various interpolation methods. It allows for the adjustment of the image size in a flexible manner, catering to different upscaling needs. + +## Inputs + +| Parameter | Data Type | Description | +|-----------------|-------------|----------------------------------------------------------------------------| +| `image` | `IMAGE` | The input image to be upscaled. This parameter is crucial as it provides the base image that will undergo the upscaling process. | +| `upscale_method`| COMBO[STRING] | Specifies the interpolation method to be used for upscaling. The choice of method can affect the quality and characteristics of the upscaled image. | +| `scale_by` | `FLOAT` | The factor by which the image will be upscaled. This determines the increase in size of the output image relative to the input image. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|---------------------------------------------------------------| +| `image` | `IMAGE` | The upscaled image, which is larger than the input image according to the specified scale factor and interpolation method. | diff --git a/built-in-nodes/ImageScaleToMaxDimension.mdx b/built-in-nodes/ImageScaleToMaxDimension.mdx new file mode 100644 index 000000000..7ccda9eca --- /dev/null +++ b/built-in-nodes/ImageScaleToMaxDimension.mdx @@ -0,0 +1,23 @@ +--- +title: "ImageScaleToMaxDimension - ComfyUI Built-in Node Documentation" +description: "The ImageScaleToMaxDimension node resizes images to fit within a specified maximum dimension while maintaining the original aspect ratio. It calculates whether the image is portrait or landscape or..." +sidebarTitle: "ImageScaleToMaxDimension" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/en.md) + +The ImageScaleToMaxDimension node resizes images to fit within a specified maximum dimension while maintaining the original aspect ratio. It calculates whether the image is portrait or landscape oriented, then scales the larger dimension to match the target size while proportionally adjusting the smaller dimension. The node supports multiple upscaling methods for different quality and performance requirements. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be scaled | +| `upscale_method` | STRING | Yes | "area"
"lanczos"
"bilinear"
"nearest-exact"
"bicubic" | The interpolation method used for scaling the image | +| `largest_size` | INT | Yes | 0 to 16384 | The maximum dimension for the scaled image (default: 512) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The scaled image with the largest dimension matching the specified size | diff --git a/built-in-nodes/ImageScaleToTotalPixels.mdx b/built-in-nodes/ImageScaleToTotalPixels.mdx new file mode 100644 index 000000000..264b19b91 --- /dev/null +++ b/built-in-nodes/ImageScaleToTotalPixels.mdx @@ -0,0 +1,21 @@ +--- +title: "ImageScaleToTotalPixels - ComfyUI Built-in Node Documentation" +description: "The ImageScaleToTotalPixels node is designed for resizing images to a specified total number of pixels while maintaining the aspect ratio. It provides various methods for upscaling the image to ach..." +sidebarTitle: "ImageScaleToTotalPixels" +icon: "circle" +--- +The ImageScaleToTotalPixels node is designed for resizing images to a specified total number of pixels while maintaining the aspect ratio. It provides various methods for upscaling the image to achieve the desired pixel count. + +## Inputs + +| Parameter | Data Type | Description | +|-----------------|-------------|----------------------------------------------------------------------------| +| `image` | `IMAGE` | The input image to be upscaled to the specified total number of pixels. | +| `upscale_method`| COMBO[STRING] | The method used for upscaling the image. It affects the quality and characteristics of the upscaled image. | +| `megapixels` | `FLOAT` | The target size of the image in megapixels. This determines the total number of pixels in the upscaled image. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-----------------------------------------------------------------------| +| `image` | `IMAGE` | The upscaled image with the specified total number of pixels, maintaining the original aspect ratio. | diff --git a/built-in-nodes/ImageSharpen.mdx b/built-in-nodes/ImageSharpen.mdx new file mode 100644 index 000000000..91a3c1cbc --- /dev/null +++ b/built-in-nodes/ImageSharpen.mdx @@ -0,0 +1,22 @@ +--- +title: "ImageSharpen - ComfyUI Built-in Node Documentation" +description: "The ImageSharpen node enhances the clarity of an image by accentuating its edges and details. It applies a sharpening filter to the image, which can be adjusted in intensity and radius, thereby mak..." +sidebarTitle: "ImageSharpen" +icon: "circle" +--- +The ImageSharpen node enhances the clarity of an image by accentuating its edges and details. It applies a sharpening filter to the image, which can be adjusted in intensity and radius, thereby making the image appear more defined and crisp. + +## Inputs + +| Field | Data Type | Description | +|----------------|-------------|-----------------------------------------------------------------------------------------------| +| `image` | `IMAGE` | The input image to be sharpened. This parameter is crucial as it determines the base image on which the sharpening effect will be applied. | +| `sharpen_radius`| `INT` | Defines the radius of the sharpening effect. A larger radius means that more pixels around the edge will be affected, leading to a more pronounced sharpening effect. | +| `sigma` | `FLOAT` | Controls the spread of the sharpening effect. A higher sigma value results in a smoother transition at the edges, while a lower sigma makes the sharpening more localized. | +| `alpha` | `FLOAT` | Adjusts the intensity of the sharpening effect. Higher alpha values result in a stronger sharpening effect. | + +## Outputs + +| Field | Data Type | Description | +|-------|-------------|--------------------------------------------------------------------------| +| `image`| `IMAGE` | The sharpened image, with enhanced edges and details, ready for further processing or display. | diff --git a/built-in-nodes/ImageStitch.mdx b/built-in-nodes/ImageStitch.mdx new file mode 100644 index 000000000..b5f9b8110 --- /dev/null +++ b/built-in-nodes/ImageStitch.mdx @@ -0,0 +1,58 @@ +--- +title: "ImageStitch - ComfyUI Built-in Node Documentation" +description: "This node allows you to stitch two images together in a specified direction (up, down, left, right), with support for size matching and spacing between images." +sidebarTitle: "ImageStitch" +icon: "circle" +--- +This node allows you to stitch two images together in a specified direction (up, down, left, right), with support for size matching and spacing between images. + +## Inputs + +| Parameter Name | Data Type | Input Type | Default | Range | Description | +|---------------|-----------|-------------|---------|--------|-------------| +| `image1` | IMAGE | Required | - | - | The first image to be stitched | +| `image2` | IMAGE | Optional | None | - | The second image to be stitched, if not provided returns only the first image | +| `direction` | STRING | Required | right | right/down/left/up | The direction to stitch the second image: right, down, left, or up | +| `match_image_size` | BOOLEAN | Required | True | True/False | Whether to resize the second image to match the dimensions of the first image | +| `spacing_width` | INT | Required | 0 | 0-1024 | Width of spacing between images, must be an even number | +| `spacing_color` | STRING | Required | white | white/black/red/green/blue | Color of the spacing between stitched images | + +> For `spacing_color`, when using colors other than "white/black", if `match_image_size` is set to `false`, the padding area will be filled with black + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The stitched image | + +## Workflow Example + +In the workflow below, we use 3 input images of different sizes as examples: + +- image1: 500x300 +- image2: 400x250 +- image3: 300x300 + +![workflow](/images/built-in-nodes/ImageStitch/workflow.webp) + +**First Image Stitch Node** + +- `match_image_size`: false, images will be stitched at their original sizes +- `direction`: up, `image2` will be placed above `image1` +- `spacing_width`: 20 +- `spacing_color`: black + +Output image 1: + +![output1](/images/built-in-nodes/ImageStitch/output-1.webp) + +**Second Image Stitch Node** + +- `match_image_size`: true, the second image will be scaled to match the height or width of the first image +- `direction`: right, `image3` will appear on the right side +- `spacing_width`: 20 +- `spacing_color`: white + +Output image 2: + +![output2](/images/built-in-nodes/ImageStitch/output-2.webp) diff --git a/built-in-nodes/ImageToMask.mdx b/built-in-nodes/ImageToMask.mdx new file mode 100644 index 000000000..51762a669 --- /dev/null +++ b/built-in-nodes/ImageToMask.mdx @@ -0,0 +1,20 @@ +--- +title: "ImageToMask - ComfyUI Built-in Node Documentation" +description: "The ImageToMask node is designed to convert an image into a mask based on a specified color channel. It allows for the extraction of mask layers corresponding to the red, green, blue, or alpha chan..." +sidebarTitle: "ImageToMask" +icon: "circle" +--- +The ImageToMask node is designed to convert an image into a mask based on a specified color channel. It allows for the extraction of mask layers corresponding to the red, green, blue, or alpha channels of an image, facilitating operations that require channel-specific masking or processing. + +## Inputs + +| Parameter | Data Type | Description | +|-------------|-------------|----------------------------------------------------------------------------------------------------------------------| +| `image` | `IMAGE` | The 'image' parameter represents the input image from which a mask will be generated based on the specified color channel. It plays a crucial role in determining the content and characteristics of the resulting mask. | +| `channel` | COMBO[STRING] | The 'channel' parameter specifies which color channel (red, green, blue, or alpha) of the input image should be used to generate the mask. This choice directly influences the mask's appearance and which parts of the image are highlighted or masked out. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `mask` | `MASK` | The output 'mask' is a binary or grayscale representation of the specified color channel from the input image, useful for further image processing or masking operations. | diff --git a/built-in-nodes/ImageUpscaleWithModel.mdx b/built-in-nodes/ImageUpscaleWithModel.mdx new file mode 100644 index 000000000..53cebbc3e --- /dev/null +++ b/built-in-nodes/ImageUpscaleWithModel.mdx @@ -0,0 +1,20 @@ +--- +title: "ImageUpscaleWithModel - ComfyUI Built-in Node Documentation" +description: "This node is designed for upscaling images using a specified upscale model. It efficiently manages the upscaling process by adjusting the image to the appropriate device, optimizing memory usage, a..." +sidebarTitle: "ImageUpscaleWithModel" +icon: "circle" +--- +This node is designed for upscaling images using a specified upscale model. It efficiently manages the upscaling process by adjusting the image to the appropriate device, optimizing memory usage, and applying the upscale model in a tiled manner to prevent potential out-of-memory errors. + +## Inputs + +| Parameter | Comfy dtype | Description | +|-------------------|-------------------|----------------------------------------------------------------------------| +| `upscale_model` | `UPSCALE_MODEL` | The upscale model to be used for upscaling the image. It is crucial for defining the upscaling algorithm and its parameters. | +| `image` | `IMAGE` | The image to be upscaled. This input is essential for determining the source content that will undergo the upscaling process. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|----------------------------------------------------| +| `image` | `IMAGE` | The upscaled image, processed by the upscale model. This output is the result of the upscaling operation, showcasing the enhanced resolution or quality. | diff --git a/built-in-nodes/ImageYUVToRGB.mdx b/built-in-nodes/ImageYUVToRGB.mdx new file mode 100644 index 000000000..c6f108cb2 --- /dev/null +++ b/built-in-nodes/ImageYUVToRGB.mdx @@ -0,0 +1,25 @@ +--- +title: "ImageYUVToRGB - ComfyUI Built-in Node Documentation" +description: "The ImageYUVToRGB node converts YUV color space images to RGB color space. It takes three separate input images representing the Y (luma), U (blue projection), and V (red projection) channels and c..." +sidebarTitle: "ImageYUVToRGB" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageYUVToRGB/en.md) + +The ImageYUVToRGB node converts YUV color space images to RGB color space. It takes three separate input images representing the Y (luma), U (blue projection), and V (red projection) channels and combines them into a single RGB image using color space conversion. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `Y` | IMAGE | Yes | - | The Y (luminance) channel input image | +| `U` | IMAGE | Yes | - | The U (blue projection) channel input image | +| `V` | IMAGE | Yes | - | The V (red projection) channel input image | + +**Note:** All three input images (Y, U, and V) must be provided together and should have compatible dimensions for proper conversion. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The converted RGB image | diff --git a/built-in-nodes/InpaintModelConditioning.mdx b/built-in-nodes/InpaintModelConditioning.mdx new file mode 100644 index 000000000..15d424fa4 --- /dev/null +++ b/built-in-nodes/InpaintModelConditioning.mdx @@ -0,0 +1,25 @@ +--- +title: "InpaintModelConditioning - ComfyUI Built-in Node Documentation" +description: "The InpaintModelConditioning node is designed to facilitate the conditioning process for inpainting models, enabling the integration and manipulation of various conditioning inputs to tailor the in..." +sidebarTitle: "InpaintModelConditioning" +icon: "circle" +--- +The InpaintModelConditioning node is designed to facilitate the conditioning process for inpainting models, enabling the integration and manipulation of various conditioning inputs to tailor the inpainting output. It encompasses a broad range of functionalities, from loading specific model checkpoints and applying style or control net models, to encoding and combining conditioning elements, thereby serving as a comprehensive tool for customizing inpainting tasks. + +## Inputs + +| Parameter | Comfy dtype | Description | +|-----------|--------------------|-------------| +| `positive`| `CONDITIONING` | Represents the positive conditioning information or parameters that are to be applied to the inpainting model. This input is crucial for defining the context or constraints under which the inpainting operation should be performed, affecting the final output significantly. | +| `negative`| `CONDITIONING` | Represents the negative conditioning information or parameters that are to be applied to the inpainting model. This input is essential for specifying the conditions or contexts to avoid during the inpainting process, thereby influencing the final output. | +| `vae` | `VAE` | Specifies the VAE model to be used in the conditioning process. This input is crucial for determining the specific architecture and parameters of the VAE model that will be utilized. | +| `pixels` | `IMAGE` | Represents the pixel data of the image to be inpainted. This input is essential for providing the visual context necessary for the inpainting task. | +| `mask` | `MASK` | Specifies the mask to be applied to the image, indicating the areas to be inpainted. This input is crucial for defining the specific regions within the image that require inpainting. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|--------------|-------------| +| `positive`| `CONDITIONING` | The modified positive conditioning information after processing, ready to be applied to the inpainting model. This output is essential for guiding the inpainting process according to the specified positive conditions. | +| `negative`| `CONDITIONING` | The modified negative conditioning information after processing, ready to be applied to the inpainting model. This output is essential for guiding the inpainting process according to the specified negative conditions. | +| `latent` | `LATENT` | The latent representation derived from the conditioning process. This output is crucial for understanding the underlying features and characteristics of the image being inpainted. | diff --git a/built-in-nodes/InstructPixToPixConditioning.mdx b/built-in-nodes/InstructPixToPixConditioning.mdx new file mode 100644 index 000000000..4e0d02ee7 --- /dev/null +++ b/built-in-nodes/InstructPixToPixConditioning.mdx @@ -0,0 +1,28 @@ +--- +title: "InstructPixToPixConditioning - ComfyUI Built-in Node Documentation" +description: "The InstructPixToPixConditioning node prepares conditioning data for InstructPix2Pix image editing by combining positive and negative text prompts with image data. It processes input images through..." +sidebarTitle: "InstructPixToPixConditioning" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InstructPixToPixConditioning/en.md) + +The InstructPixToPixConditioning node prepares conditioning data for InstructPix2Pix image editing by combining positive and negative text prompts with image data. It processes input images through a VAE encoder to create latent representations and attaches these latents to both positive and negative conditioning data. The node automatically handles image dimensions by cropping to multiples of 8 pixels for compatibility with the VAE encoding process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning data containing text prompts and settings for desired image characteristics | +| `negative` | CONDITIONING | Yes | - | Negative conditioning data containing text prompts and settings for undesired image characteristics | +| `vae` | VAE | Yes | - | VAE model used for encoding input images into latent representations | +| `pixels` | IMAGE | Yes | - | Input image to be processed and encoded into latent space | + +**Note:** The input image dimensions are automatically adjusted by cropping to the nearest multiple of 8 pixels in both width and height to ensure compatibility with the VAE encoding process. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Positive conditioning data with attached latent image representation | +| `negative` | CONDITIONING | Negative conditioning data with attached latent image representation | +| `latent` | LATENT | Empty latent tensor with the same dimensions as the encoded image | diff --git a/built-in-nodes/InvertBooleanNode.mdx b/built-in-nodes/InvertBooleanNode.mdx new file mode 100644 index 000000000..1e456c89c --- /dev/null +++ b/built-in-nodes/InvertBooleanNode.mdx @@ -0,0 +1,21 @@ +--- +title: "InvertBooleanNode - ComfyUI Built-in Node Documentation" +description: "This node takes a single boolean (true/false) input and outputs the opposite value. It performs a logical NOT operation, turning `true` into `false` and `false` into `true`." +sidebarTitle: "InvertBooleanNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertBooleanNode/en.md) + +This node takes a single boolean (true/false) input and outputs the opposite value. It performs a logical NOT operation, turning `true` into `false` and `false` into `true`. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `boolean` | BOOLEAN | Yes | `true`
`false` | The input boolean value to be inverted. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | BOOLEAN | The inverted boolean value. | diff --git a/built-in-nodes/InvertMask.mdx b/built-in-nodes/InvertMask.mdx new file mode 100644 index 000000000..e43cdac97 --- /dev/null +++ b/built-in-nodes/InvertMask.mdx @@ -0,0 +1,19 @@ +--- +title: "InvertMask - ComfyUI Built-in Node Documentation" +description: "The InvertMask node is designed to invert the values of a given mask, effectively flipping the masked and unmasked areas. This operation is fundamental in image processing tasks where the focus of ..." +sidebarTitle: "InvertMask" +icon: "circle" +--- +The InvertMask node is designed to invert the values of a given mask, effectively flipping the masked and unmasked areas. This operation is fundamental in image processing tasks where the focus of interest needs to be switched between the foreground and the background. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|--------------|-------------| +| `mask` | MASK | The 'mask' parameter represents the input mask to be inverted. It is crucial for determining the areas to be flipped in the inversion process. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|--------------|-------------| +| `mask` | MASK | The output is an inverted version of the input mask, with previously masked areas becoming unmasked and vice versa. | diff --git a/built-in-nodes/JoinAudioChannels.mdx b/built-in-nodes/JoinAudioChannels.mdx new file mode 100644 index 000000000..7c01fb25c --- /dev/null +++ b/built-in-nodes/JoinAudioChannels.mdx @@ -0,0 +1,24 @@ +--- +title: "JoinAudioChannels - ComfyUI Built-in Node Documentation" +description: "The Join Audio Channels node combines two separate mono audio inputs into a single stereo audio output. It takes a left channel and a right channel, ensures they have compatible sample rates and le..." +sidebarTitle: "JoinAudioChannels" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinAudioChannels/en.md) + +The Join Audio Channels node combines two separate mono audio inputs into a single stereo audio output. It takes a left channel and a right channel, ensures they have compatible sample rates and lengths, and merges them into a two-channel audio waveform. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio_left` | AUDIO | Yes | | The mono audio data to be used as the left channel in the resulting stereo audio. | +| `audio_right` | AUDIO | Yes | | The mono audio data to be used as the right channel in the resulting stereo audio. | + +**Note:** Both input audio streams must be mono (single-channel). If they have different sample rates, the channel with the lower rate will be automatically resampled to match the higher rate. If the audio streams have different lengths, they will be trimmed to the length of the shorter one. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The resulting stereo audio, containing the joined left and right channels. | diff --git a/built-in-nodes/JoinImageWithAlpha.mdx b/built-in-nodes/JoinImageWithAlpha.mdx new file mode 100644 index 000000000..c3eed3fbf --- /dev/null +++ b/built-in-nodes/JoinImageWithAlpha.mdx @@ -0,0 +1,20 @@ +--- +title: "JoinImageWithAlpha - ComfyUI Built-in Node Documentation" +description: "This node is designed for compositing operations, specifically to join an image with its corresponding alpha mask to produce a single output image. It effectively combines visual content with trans..." +sidebarTitle: "JoinImageWithAlpha" +icon: "circle" +--- +This node is designed for compositing operations, specifically to join an image with its corresponding alpha mask to produce a single output image. It effectively combines visual content with transparency information, enabling the creation of images where certain areas are transparent or semi-transparent. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The main visual content to be combined with an alpha mask. It represents the image without transparency information. | +| `alpha` | `MASK` | The alpha mask that defines the transparency of the corresponding image. It is used to determine which parts of the image should be transparent or semi-transparent. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The output is a single image that combines the input image with the alpha mask, incorporating transparency information into the visual content. | diff --git a/built-in-nodes/KSampler.mdx b/built-in-nodes/KSampler.mdx new file mode 100644 index 000000000..f7e3ab248 --- /dev/null +++ b/built-in-nodes/KSampler.mdx @@ -0,0 +1,88 @@ +--- +title: "KSampler - ComfyUI Built-in Node Documentation" +description: "The KSampler works like this: it modifies the provided original latent image information based on a specific model and both positive and negative conditions. First, it adds noise to the original im..." +sidebarTitle: "KSampler" +icon: "circle" +--- +The KSampler works like this: it modifies the provided original latent image information based on a specific model and both positive and negative conditions. +First, it adds noise to the original image data according to the set **seed** and **denoise strength**, then inputs the preset **Model** combined with **positive** and **negative** guidance conditions to generate the image. + +## Inputs + +| Parameter Name | Data Type | Required | Default | Range/Options | Description | +| ---------------------- | ------------ | -------- | ------- | ------------------------ | ---------------------------------------------------------------------------------- | +| Model | checkpoint | Yes | None | - | Input model used for the denoising process | +| seed | Int | Yes | 0 | 0 ~ 18446744073709551615 | Used to generate random noise, using the same "seed" generates identical images | +| steps | Int | Yes | 20 | 1 ~ 10000 | Number of steps to use in denoising process, more steps mean more accurate results | +| cfg | float | Yes | 8.0 | 0.0 ~ 100.0 | Controls how closely the generated image matches input conditions, 6-8 recommended | +| sampler_name | UI Option | Yes | None | Multiple algorithms | Choose sampler for denoising, affects generation speed and style | +| scheduler | UI Option | Yes | None | Multiple schedulers | Controls how noise is removed, affects generation process | +| Positive | conditioning | Yes | None | - | Positive conditions guiding denoising, what you want to appear in the image | +| Negative | conditioning | Yes | None | - | Negative conditions guiding denoising, what you don't want in the image | +| Latent_Image | Latent | Yes | None | - | Latent image used for denoising | +| denoise | float | No | 1.0 | 0.0 ~ 1.0 | Determines noise removal ratio, lower values mean less connection to input image | +| control_after_generate | UI Option | No | None | Random/Inc/Dec/Keep | Provides ability to change seed after each prompt | + +## Output + +| Parameter | Function | +| -------------- | ------------------------------------------ | +| Latent | Outputs the latent after sampler denoising | + +## Source Code + +[Updated on May 15, 2025] + +```Python + +def common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent, denoise=1.0, disable_noise=False, start_step=None, last_step=None, force_full_denoise=False): + latent_image = latent["samples"] + latent_image = comfy.sample.fix_empty_latent_channels(model, latent_image) + + if disable_noise: + noise = torch.zeros(latent_image.size(), dtype=latent_image.dtype, layout=latent_image.layout, device="cpu") + else: + batch_inds = latent["batch_index"] if "batch_index" in latent else None + noise = comfy.sample.prepare_noise(latent_image, seed, batch_inds) + + noise_mask = None + if "noise_mask" in latent: + noise_mask = latent["noise_mask"] + + callback = latent_preview.prepare_callback(model, steps) + disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED + samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, + denoise=denoise, disable_noise=disable_noise, start_step=start_step, last_step=last_step, + force_full_denoise=force_full_denoise, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) + out = latent.copy() + out["samples"] = samples + return (out, ) +class KSampler: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "model": ("MODEL", {"tooltip": "The model used for denoising the input latent."}), + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "control_after_generate": True, "tooltip": "The random seed used for creating the noise."}), + "steps": ("INT", {"default": 20, "min": 1, "max": 10000, "tooltip": "The number of steps used in the denoising process."}), + "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01, "tooltip": "The Classifier-Free Guidance scale balances creativity and adherence to the prompt. Higher values result in images more closely matching the prompt however too high values will negatively impact quality."}), + "sampler_name": (comfy.samplers.KSampler.SAMPLERS, {"tooltip": "The algorithm used when sampling, this can affect the quality, speed, and style of the generated output."}), + "scheduler": (comfy.samplers.KSampler.SCHEDULERS, {"tooltip": "The scheduler controls how noise is gradually removed to form the image."}), + "positive": ("CONDITIONING", {"tooltip": "The conditioning describing the attributes you want to include in the image."}), + "negative": ("CONDITIONING", {"tooltip": "The conditioning describing the attributes you want to exclude from the image."}), + "latent_image": ("LATENT", {"tooltip": "The latent image to denoise."}), + "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling."}), + } + } + + RETURN_TYPES = ("LATENT",) + OUTPUT_TOOLTIPS = ("The denoised latent.",) + FUNCTION = "sample" + + CATEGORY = "sampling" + DESCRIPTION = "Uses the provided model, positive and negative conditioning to denoise the latent image." + + def sample(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0): + return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) + +``` diff --git a/built-in-nodes/KSamplerAdvanced.mdx b/built-in-nodes/KSamplerAdvanced.mdx new file mode 100644 index 000000000..504741cb2 --- /dev/null +++ b/built-in-nodes/KSamplerAdvanced.mdx @@ -0,0 +1,31 @@ +--- +title: "KSamplerAdvanced - ComfyUI Built-in Node Documentation" +description: "The KSamplerAdvanced node is designed to enhance the sampling process by providing advanced configurations and techniques. It aims to offer more sophisticated options for generating samples from a ..." +sidebarTitle: "KSamplerAdvanced" +icon: "circle" +--- +The KSamplerAdvanced node is designed to enhance the sampling process by providing advanced configurations and techniques. It aims to offer more sophisticated options for generating samples from a model, improving upon the basic KSampler functionalities. + +## Inputs + +| Parameter | Data Type | Description | +|----------------------|-------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| `model` | MODEL | Specifies the model from which samples are to be generated, playing a crucial role in the sampling process. | +| `add_noise` | COMBO[STRING] | Determines whether noise should be added to the sampling process, affecting the diversity and quality of the generated samples. | +| `noise_seed` | INT | Sets the seed for noise generation, ensuring reproducibility in the sampling process. | +| `steps` | INT | Defines the number of steps to be taken in the sampling process, impacting the detail and quality of the output. | +| `cfg` | FLOAT | Controls the conditioning factor, influencing the direction and space of the sampling process. | +| `sampler_name` | COMBO[STRING] | Selects the specific sampler to be used, allowing for customization of the sampling technique. | +| `scheduler` | COMBO[STRING] | Chooses the scheduler for controlling the sampling process, affecting the progression and quality of samples. | +| `positive` | CONDITIONING | Specifies the positive conditioning to guide the sampling towards desired attributes. | +| `negative` | CONDITIONING | Specifies the negative conditioning to steer the sampling away from certain attributes. | +| `latent_image` | LATENT | Provides the initial latent image to be used in the sampling process, serving as a starting point. | +| `start_at_step` | INT | Determines the starting step of the sampling process, allowing for control over the sampling progression. | +| `end_at_step` | INT | Sets the ending step of the sampling process, defining the scope of the sampling. | +| `return_with_leftover_noise` | COMBO[STRING] | Indicates whether to return the sample with leftover noise, affecting the final output's appearance. | + +## Outputs + +| Parameter | Data Type | Description | +|-------------|-------------|------------------------------------------------------------------------------------------------------------------------------| +| `latent` | LATENT | The output represents the latent image generated from the model, reflecting the applied configurations and techniques. | diff --git a/built-in-nodes/KSamplerSelect.mdx b/built-in-nodes/KSamplerSelect.mdx new file mode 100644 index 000000000..c26178a1d --- /dev/null +++ b/built-in-nodes/KSamplerSelect.mdx @@ -0,0 +1,19 @@ +--- +title: "KSamplerSelect - ComfyUI Built-in Node Documentation" +description: "The KSamplerSelect node is designed to select a specific sampler based on the provided sampler name. It abstracts the complexity of sampler selection, allowing users to easily switch between differ..." +sidebarTitle: "KSamplerSelect" +icon: "circle" +--- +The KSamplerSelect node is designed to select a specific sampler based on the provided sampler name. It abstracts the complexity of sampler selection, allowing users to easily switch between different sampling strategies for their tasks. + +## Inputs + +| Parameter | Data Type | Description | +|-------------------|-------------|------------------------------------------------------------------------------------------------| +| `sampler_name` | COMBO[STRING] | Specifies the name of the sampler to be selected. This parameter determines which sampling strategy will be used, impacting the overall sampling behavior and results. | + +## Outputs + +| Parameter | Data Type | Description | +|-------------|-------------|-----------------------------------------------------------------------------| +| `sampler` | `SAMPLER` | Returns the selected sampler object, ready to be used for sampling tasks. | diff --git a/built-in-nodes/Kandinsky5ImageToVideo.mdx b/built-in-nodes/Kandinsky5ImageToVideo.mdx new file mode 100644 index 000000000..789bdcde7 --- /dev/null +++ b/built-in-nodes/Kandinsky5ImageToVideo.mdx @@ -0,0 +1,33 @@ +--- +title: "Kandinsky5ImageToVideo - ComfyUI Built-in Node Documentation" +description: "The Kandinsky5ImageToVideo node prepares conditioning and latent space data for video generation using the Kandinsky model. It creates an empty video latent tensor and can optionally encode a start..." +sidebarTitle: "Kandinsky5ImageToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/en.md) + +The Kandinsky5ImageToVideo node prepares conditioning and latent space data for video generation using the Kandinsky model. It creates an empty video latent tensor and can optionally encode a starting image to guide the initial frames of the generated video, modifying the positive and negative conditioning accordingly. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | N/A | The positive conditioning prompts to guide the video generation. | +| `negative` | CONDITIONING | Yes | N/A | The negative conditioning prompts to steer the video generation away from certain concepts. | +| `vae` | VAE | Yes | N/A | The VAE model used to encode the optional starting image into the latent space. | +| `width` | INT | No | 16 to 8192 (step 16) | The width of the output video in pixels (default: 768). | +| `height` | INT | No | 16 to 8192 (step 16) | The height of the output video in pixels (default: 512). | +| `length` | INT | No | 1 to 8192 (step 4) | The number of frames in the video (default: 121). | +| `batch_size` | INT | No | 1 to 4096 | The number of video sequences to generate simultaneously (default: 1). | +| `start_image` | IMAGE | No | N/A | An optional starting image. If provided, it is encoded and used to replace the noisy start of the model's output latents. | + +**Note:** When a `start_image` is provided, it is automatically resized to match the specified `width` and `height` using bilinear interpolation. The first `length` frames of the image batch are used for encoding. The encoded latent is then injected into both the `positive` and `negative` conditioning to guide the video's initial appearance. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The modified positive conditioning, potentially updated with encoded start image data. | +| `negative` | CONDITIONING | The modified negative conditioning, potentially updated with encoded start image data. | +| `latent` | LATENT | An empty video latent tensor with zeros, shaped for the specified dimensions. | +| `cond_latent` | LATENT | The clean, encoded latent representation of the provided start images. This is used internally to replace the noisy beginning of the generated video latents. | diff --git a/built-in-nodes/KarrasScheduler.mdx b/built-in-nodes/KarrasScheduler.mdx new file mode 100644 index 000000000..46745e399 --- /dev/null +++ b/built-in-nodes/KarrasScheduler.mdx @@ -0,0 +1,22 @@ +--- +title: "KarrasScheduler - ComfyUI Built-in Node Documentation" +description: "The KarrasScheduler node is designed to generate a sequence of noise levels (sigmas) based on the Karras et al. (2022) noise schedule. This scheduler is useful for controlling the diffusion process..." +sidebarTitle: "KarrasScheduler" +icon: "circle" +--- +The KarrasScheduler node is designed to generate a sequence of noise levels (sigmas) based on the Karras et al. (2022) noise schedule. This scheduler is useful for controlling the diffusion process in generative models, allowing for fine-tuned adjustments to the noise levels applied at each step of the generation process. + +## Inputs + +| Parameter | Data Type | Description | +|-------------|-------------|------------------------------------------------------------------------------------------------| +| `steps` | INT | Specifies the number of steps in the noise schedule, affecting the granularity of the generated sigmas sequence. | +| `sigma_max` | FLOAT | The maximum sigma value in the noise schedule, setting the upper bound of noise levels. | +| `sigma_min` | FLOAT | The minimum sigma value in the noise schedule, setting the lower bound of noise levels. | +| `rho` | FLOAT | A parameter that controls the shape of the noise schedule curve, influencing how noise levels progress from sigma_min to sigma_max. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-----------------------------------------------------------------------------| +| `sigmas` | SIGMAS | The generated sequence of noise levels (sigmas) following the Karras et al. (2022) noise schedule. | diff --git a/built-in-nodes/KlingCameraControlI2VNode.mdx b/built-in-nodes/KlingCameraControlI2VNode.mdx new file mode 100644 index 000000000..f50817879 --- /dev/null +++ b/built-in-nodes/KlingCameraControlI2VNode.mdx @@ -0,0 +1,28 @@ +--- +title: "KlingCameraControlI2VNode - ComfyUI Built-in Node Documentation" +description: "The Kling Image to Video Camera Control Node transforms still images into cinematic videos with professional camera movements. This specialized image-to-video node allows you to control virtual cam..." +sidebarTitle: "KlingCameraControlI2VNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md) + +The Kling Image to Video Camera Control Node transforms still images into cinematic videos with professional camera movements. This specialized image-to-video node allows you to control virtual camera actions including zoom, rotation, pan, tilt, and first-person view while maintaining focus on your original image. Camera control is currently only supported in pro mode with the kling-v1-5 model at 5-second duration. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `start_frame` | IMAGE | Yes | - | Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1. Base64 should not include data:image prefix. | +| `prompt` | STRING | Yes | - | Positive text prompt | +| `negative_prompt` | STRING | Yes | - | Negative text prompt | +| `cfg_scale` | FLOAT | No | 0.0-1.0 | Controls the strength of text guidance (default: 0.75) | +| `aspect_ratio` | COMBO | No | Multiple options available | Video aspect ratio selection (default: 16:9) | +| `camera_control` | CAMERA_CONTROL | Yes | - | Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video output | +| `video_id` | STRING | Unique identifier for the generated video | +| `duration` | STRING | Duration of the generated video | diff --git a/built-in-nodes/KlingCameraControlT2VNode.mdx b/built-in-nodes/KlingCameraControlT2VNode.mdx new file mode 100644 index 000000000..bc0316682 --- /dev/null +++ b/built-in-nodes/KlingCameraControlT2VNode.mdx @@ -0,0 +1,27 @@ +--- +title: "KlingCameraControlT2VNode - ComfyUI Built-in Node Documentation" +description: "Kling Text to Video Camera Control Node transforms text into cinematic videos with professional camera movements that simulate real-world cinematography. This node supports controlling virtual came..." +sidebarTitle: "KlingCameraControlT2VNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md) + +Kling Text to Video Camera Control Node transforms text into cinematic videos with professional camera movements that simulate real-world cinematography. This node supports controlling virtual camera actions including zoom, rotation, pan, tilt, and first-person view while maintaining focus on your original text. The duration, mode, and model name are hard-coded because camera control is only supported in pro mode with the kling-v1-5 model at 5-second duration. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Positive text prompt | +| `negative_prompt` | STRING | Yes | - | Negative text prompt | +| `cfg_scale` | FLOAT | No | 0.0-1.0 | Controls how closely the output follows the prompt (default: 0.75) | +| `aspect_ratio` | COMBO | No | "16:9"
"9:16"
"1:1"
"21:9"
"3:4"
"4:3" | The aspect ratio for the generated video (default: "16:9") | +| `camera_control` | CAMERA_CONTROL | No | - | Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video with camera control effects | +| `video_id` | STRING | The unique identifier for the generated video | +| `duration` | STRING | The duration of the generated video | diff --git a/built-in-nodes/KlingCameraControls.mdx b/built-in-nodes/KlingCameraControls.mdx new file mode 100644 index 000000000..1a78472c8 --- /dev/null +++ b/built-in-nodes/KlingCameraControls.mdx @@ -0,0 +1,29 @@ +--- +title: "KlingCameraControls - ComfyUI Built-in Node Documentation" +description: "The Kling Camera Controls node allows you to configure various camera movement and rotation parameters for creating motion control effects in video generation. It provides controls for camera posit..." +sidebarTitle: "KlingCameraControls" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControls/en.md) + +The Kling Camera Controls node allows you to configure various camera movement and rotation parameters for creating motion control effects in video generation. It provides controls for camera positioning, rotation, and zoom to simulate different camera movements. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `camera_control_type` | COMBO | Yes | Multiple options available | Specifies the type of camera control configuration to use | +| `horizontal_movement` | FLOAT | No | -10.0 to 10.0 | Controls camera's movement along horizontal axis (x-axis). Negative indicates left, positive indicates right (default: 0.0) | +| `vertical_movement` | FLOAT | No | -10.0 to 10.0 | Controls camera's movement along vertical axis (y-axis). Negative indicates downward, positive indicates upward (default: 0.0) | +| `pan` | FLOAT | No | -10.0 to 10.0 | Controls camera's rotation in vertical plane (x-axis). Negative indicates downward rotation, positive indicates upward rotation (default: 0.5) | +| `tilt` | FLOAT | No | -10.0 to 10.0 | Controls camera's rotation in horizontal plane (y-axis). Negative indicates left rotation, positive indicates right rotation (default: 0.0) | +| `roll` | FLOAT | No | -10.0 to 10.0 | Controls camera's rolling amount (z-axis). Negative indicates counterclockwise, positive indicates clockwise (default: 0.0) | +| `zoom` | FLOAT | No | -10.0 to 10.0 | Controls change in camera's focal length. Negative indicates narrower field of view, positive indicates wider field of view (default: 0.0) | + +**Note:** At least one of the camera control parameters (`horizontal_movement`, `vertical_movement`, `pan`, `tilt`, `roll`, or `zoom`) must have a non-zero value for the configuration to be valid. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `camera_control` | CAMERA_CONTROL | Returns the configured camera control settings for use in video generation | diff --git a/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx b/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx new file mode 100644 index 000000000..c8a73616f --- /dev/null +++ b/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx @@ -0,0 +1,27 @@ +--- +title: "KlingDualCharacterVideoEffectNode - ComfyUI Built-in Node Documentation" +description: "The Kling Dual Character Video Effect Node creates videos with special effects based on the selected scene. It takes two images and positions the first image on the left side and the second image o..." +sidebarTitle: "KlingDualCharacterVideoEffectNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md) + +The Kling Dual Character Video Effect Node creates videos with special effects based on the selected scene. It takes two images and positions the first image on the left side and the second image on the right side of the composite video. Different visual effects are applied depending on the chosen effect scene. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image_left` | IMAGE | Yes | - | Left side image | +| `image_right` | IMAGE | Yes | - | Right side image | +| `effect_scene` | COMBO | Yes | Multiple options available | The type of special effect scene to apply to the video generation | +| `model_name` | COMBO | No | Multiple options available | The model to use for character effects (default: "kling-v1") | +| `mode` | COMBO | No | Multiple options available | The video generation mode (default: "std") | +| `duration` | COMBO | Yes | Multiple options available | The duration of the generated video | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video with dual character effects | +| `duration` | STRING | The duration information of the generated video | diff --git a/built-in-nodes/KlingFirstLastFrameNode.mdx b/built-in-nodes/KlingFirstLastFrameNode.mdx new file mode 100644 index 000000000..0a2d91521 --- /dev/null +++ b/built-in-nodes/KlingFirstLastFrameNode.mdx @@ -0,0 +1,30 @@ +--- +title: "KlingFirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "This node uses the Kling 3.0 model to generate a video. It creates the video based on a text prompt, a specified duration, and two provided images: a starting frame and an ending frame. The node ca..." +sidebarTitle: "KlingFirstLastFrameNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md) + +This node uses the Kling 3.0 model to generate a video. It creates the video based on a text prompt, a specified duration, and two provided images: a starting frame and an ending frame. The node can also generate accompanying audio for the video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | The text description that guides the video generation. Must be between 1 and 2500 characters long. | +| `duration` | INT | No | 3 to 15 | The length of the video in seconds (default: 5). | +| `first_frame` | IMAGE | Yes | N/A | The starting image for the video. Must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | +| `end_frame` | IMAGE | Yes | N/A | The ending image for the video. Must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | +| `generate_audio` | BOOLEAN | No | N/A | Controls whether to generate audio for the video (default: True). | +| `model` | COMBO | No | `"kling-v3"` | Model and generation settings. Selecting this option reveals a nested `resolution` parameter. | +| `model.resolution` | COMBO | No | `"1080p"`
`"720p"` | The resolution for the generated video. This parameter is only available when the `model` is set to `"kling-v3"`. | +| `seed` | INT | No | 0 to 2147483647 | A number used to control whether the node should re-run. The results are non-deterministic regardless of the seed value (default: 0). | + +**Note:** The `first_frame` and `end_frame` images must meet the specified minimum size and aspect ratio requirements for the node to function correctly. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | diff --git a/built-in-nodes/KlingImage2VideoNode.mdx b/built-in-nodes/KlingImage2VideoNode.mdx new file mode 100644 index 000000000..c73673e2f --- /dev/null +++ b/built-in-nodes/KlingImage2VideoNode.mdx @@ -0,0 +1,30 @@ +--- +title: "KlingImage2VideoNode - ComfyUI Built-in Node Documentation" +description: "The Kling Image to Video Node generates video content from a starting image using text prompts. It takes a reference image and creates a video sequence based on the provided positive and negative t..." +sidebarTitle: "KlingImage2VideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md) + +The Kling Image to Video Node generates video content from a starting image using text prompts. It takes a reference image and creates a video sequence based on the provided positive and negative text descriptions, with various configuration options for model selection, duration, and aspect ratio. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `start_frame` | IMAGE | Yes | - | The reference image used to generate the video. | +| `prompt` | STRING | Yes | - | Positive text prompt. | +| `negative_prompt` | STRING | Yes | - | Negative text prompt. | +| `model_name` | COMBO | Yes | Multiple options available | Model selection for video generation (default: "kling-v2-master"). | +| `cfg_scale` | FLOAT | Yes | 0.0-1.0 | Configuration scale parameter (default: 0.8). | +| `mode` | COMBO | Yes | Multiple options available | Video generation mode selection (default: std). | +| `aspect_ratio` | COMBO | Yes | Multiple options available | Aspect ratio for the generated video (default: field_16_9). | +| `duration` | COMBO | Yes | Multiple options available | Duration of the generated video (default: field_5). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video output. | +| `video_id` | STRING | Unique identifier for the generated video. | +| `duration` | STRING | Duration information for the generated video. | diff --git a/built-in-nodes/KlingImageGenerationNode.mdx b/built-in-nodes/KlingImageGenerationNode.mdx new file mode 100644 index 000000000..e8c53a2a5 --- /dev/null +++ b/built-in-nodes/KlingImageGenerationNode.mdx @@ -0,0 +1,35 @@ +--- +title: "KlingImageGenerationNode - ComfyUI Built-in Node Documentation" +description: "Kling Image Generation Node generates images from text prompts with the option to use a reference image for guidance. It creates one or more images based on your text description and reference sett..." +sidebarTitle: "KlingImageGenerationNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md) + +Kling Image Generation Node generates images from text prompts with the option to use a reference image for guidance. It creates one or more images based on your text description and reference settings, then returns the generated images as output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Positive text prompt | +| `negative_prompt` | STRING | Yes | - | Negative text prompt | +| `image_type` | COMBO | Yes | Options from KlingImageGenImageReferenceType
(extracted from source code) | Image reference type selection | +| `image_fidelity` | FLOAT | Yes | 0.0 - 1.0 | Reference intensity for user-uploaded images (default: 0.5) | +| `human_fidelity` | FLOAT | Yes | 0.0 - 1.0 | Subject reference similarity (default: 0.45) | +| `model_name` | COMBO | Yes | "kling-v1"
(and other options from KlingImageGenModelName) | Model selection for image generation (default: "kling-v1") | +| `aspect_ratio` | COMBO | Yes | "16:9"
(and other options from KlingImageGenAspectRatio) | Aspect ratio for generated images (default: "16:9") | +| `n` | INT | Yes | 1 - 9 | Number of generated images (default: 1) | +| `image` | IMAGE | No | - | Optional reference image | + +**Parameter Constraints:** + +- The `image` parameter is optional, but when provided, the kling-v1 model does not support reference images +- Prompt and negative prompt have maximum length limitations (MAX_PROMPT_LENGTH_IMAGE_GEN) +- When no reference image is provided, the `image_type` parameter is automatically set to None + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | Generated image(s) based on the input parameters | diff --git a/built-in-nodes/KlingImageToVideoWithAudio.mdx b/built-in-nodes/KlingImageToVideoWithAudio.mdx new file mode 100644 index 000000000..4666b9554 --- /dev/null +++ b/built-in-nodes/KlingImageToVideoWithAudio.mdx @@ -0,0 +1,26 @@ +--- +title: "KlingImageToVideoWithAudio - ComfyUI Built-in Node Documentation" +description: "The Kling Image(First Frame) to Video with Audio node uses the Kling AI model to generate a short video from a single starting image and a text prompt. It creates a video sequence that begins with ..." +sidebarTitle: "KlingImageToVideoWithAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md) + +The Kling Image(First Frame) to Video with Audio node uses the Kling AI model to generate a short video from a single starting image and a text prompt. It creates a video sequence that begins with the provided image and can optionally include AI-generated audio to accompany the visuals. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_name` | COMBO | Yes | `"kling-v2-6"` | The specific version of the Kling AI model to use for video generation. | +| `start_frame` | IMAGE | Yes | - | The image that will serve as the first frame of the generated video. The image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | +| `prompt` | STRING | Yes | - | Positive text prompt. This describes the video content you want to generate. The prompt must be between 1 and 2500 characters long. | +| `mode` | COMBO | Yes | `"pro"` | The operational mode for the video generation. | +| `duration` | COMBO | Yes | `5`
`10` | The length of the video to generate, in seconds. | +| `generate_audio` | BOOLEAN | No | - | When enabled, the node will generate audio to accompany the video. When disabled, the video will be silent. (default: True) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The generated video file, which may include audio depending on the `generate_audio` input. | diff --git a/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx b/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx new file mode 100644 index 000000000..4a6871def --- /dev/null +++ b/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx @@ -0,0 +1,34 @@ +--- +title: "KlingLipSyncAudioToVideoNode - ComfyUI Built-in Node Documentation" +description: "Kling Lip Sync Audio to Video Node synchronizes mouth movements in a video file to match the audio content of an audio file. This node analyzes the vocal patterns in the audio and adjusts the facia..." +sidebarTitle: "KlingLipSyncAudioToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md) + +Kling Lip Sync Audio to Video Node synchronizes mouth movements in a video file to match the audio content of an audio file. This node analyzes the vocal patterns in the audio and adjusts the facial movements in the video to create realistic lip-syncing. The process requires both a video containing a distinct face and an audio file with clearly distinguishable vocals. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | - | The video file containing a face to be lip-synced | +| `audio` | AUDIO | Yes | - | The audio file containing vocals to sync with the video | +| `voice_language` | COMBO | No | `"en"`
`"zh"`
`"es"`
`"fr"`
`"de"`
`"it"`
`"pt"`
`"pl"`
`"tr"`
`"ru"`
`"nl"`
`"cs"`
`"ar"`
`"ja"`
`"hu"`
`"ko"` | The language of the voice in the audio file (default: "en") | + +**Important Constraints:** + +- The audio file should not be larger than 5MB +- The video file should not be larger than 100MB +- Video dimensions should be between 720px and 1920px in height/width +- Video duration should be between 2 seconds and 10 seconds +- The audio must contain clearly distinguishable vocals +- The video must contain a distinct face + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The processed video with lip-synced mouth movements | +| `video_id` | STRING | The unique identifier for the processed video | +| `duration` | STRING | The duration of the processed video | diff --git a/built-in-nodes/KlingLipSyncTextToVideoNode.mdx b/built-in-nodes/KlingLipSyncTextToVideoNode.mdx new file mode 100644 index 000000000..cae5a11c6 --- /dev/null +++ b/built-in-nodes/KlingLipSyncTextToVideoNode.mdx @@ -0,0 +1,32 @@ +--- +title: "KlingLipSyncTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Kling Lip Sync Text to Video Node synchronizes mouth movements in a video file to match a text prompt. It takes an input video and generates a new video where the character's lip movements are alig..." +sidebarTitle: "KlingLipSyncTextToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md) + +Kling Lip Sync Text to Video Node synchronizes mouth movements in a video file to match a text prompt. It takes an input video and generates a new video where the character's lip movements are aligned with the provided text. The node uses voice synthesis to create natural-looking speech synchronization. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | - | Input video file for lip synchronization | +| `text` | STRING | Yes | - | Text Content for Lip-Sync Video Generation. Required when mode is text2video. Maximum length is 120 characters. | +| `voice` | COMBO | No | "Melody"
"Bella"
"Aria"
"Ethan"
"Ryan"
"Dorothy"
"Nathan"
"Lily"
"Aaron"
"Emma"
"Grace"
"Henry"
"Isabella"
"James"
"Katherine"
"Liam"
"Mia"
"Noah"
"Olivia"
"Sophia" | Voice selection for the lip-sync audio (default: "Melody") | +| `voice_speed` | FLOAT | No | 0.8-2.0 | Speech Rate. Valid range: 0.8~2.0, accurate to one decimal place. (default: 1) | + +**Video Requirements:** + +- Video file should not be larger than 100MB +- Height/width should be between 720px and 1920px +- Duration should be between 2s and 10s + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | Generated video with lip-synchronized audio | +| `video_id` | STRING | Unique identifier for the generated video | +| `duration` | STRING | Duration information for the generated video | diff --git a/built-in-nodes/KlingMotionControl.mdx b/built-in-nodes/KlingMotionControl.mdx new file mode 100644 index 000000000..fc1ec6365 --- /dev/null +++ b/built-in-nodes/KlingMotionControl.mdx @@ -0,0 +1,31 @@ +--- +title: "KlingMotionControl - ComfyUI Built-in Node Documentation" +description: "The Kling Motion Control node generates a video by applying the motion, expressions, and camera movements from a reference video to a character defined by a reference image and a text prompt. It al..." +sidebarTitle: "KlingMotionControl" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingMotionControl/en.md) + +The Kling Motion Control node generates a video by applying the motion, expressions, and camera movements from a reference video to a character defined by a reference image and a text prompt. It allows you to control whether the character's final orientation comes from the reference video or the reference image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | A text description of the desired video. Maximum length is 2500 characters. | +| `reference_image` | IMAGE | Yes | N/A | An image of the character to animate. Minimum dimensions are 340x340 pixels. The aspect ratio must be between 1:2.5 and 2.5:1. | +| `reference_video` | VIDEO | Yes | N/A | A motion reference video used to drive the character's movement and expression. Minimum dimensions are 340x340 pixels, maximum dimensions are 3850x3850 pixels. Duration limits depend on the `character_orientation` setting. | +| `keep_original_sound` | BOOLEAN | No | N/A | Determines if the original audio from the reference video is kept in the output. Default is `True`. | +| `character_orientation` | COMBO | No | `"video"`
`"image"` | Controls where the character's facing/orientation comes from. `"video"`: movements, expressions, camera moves, and orientation follow the motion reference video. `"image"`: movements and expressions follow the motion reference video, but the character orientation matches the reference image. | +| `mode` | COMBO | No | `"pro"`
`"std"` | The generation mode to use. | + +**Constraints:** + +* The `reference_video` duration must be between 3 and 30 seconds when `character_orientation` is set to `"video"`. +* The `reference_video` duration must be between 3 and 10 seconds when `character_orientation` is set to `"image"`. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video with the character performing the motion from the reference video. | diff --git a/built-in-nodes/KlingOmniProEditVideoNode.mdx b/built-in-nodes/KlingOmniProEditVideoNode.mdx new file mode 100644 index 000000000..2ce8f01a2 --- /dev/null +++ b/built-in-nodes/KlingOmniProEditVideoNode.mdx @@ -0,0 +1,35 @@ +--- +title: "KlingOmniProEditVideoNode - ComfyUI Built-in Node Documentation" +description: "The Kling Omni Edit Video (Pro) node uses an AI model to edit an existing video based on a text description. You provide a source video and a prompt, and the node generates a new video of the same ..." +sidebarTitle: "KlingOmniProEditVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md) + +The Kling Omni Edit Video (Pro) node uses an AI model to edit an existing video based on a text description. You provide a source video and a prompt, and the node generates a new video of the same length with the requested changes. It can optionally use reference images to guide the style and keep the original audio from the source video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_name` | COMBO | Yes | `"kling-video-o1"` | The AI model to use for video editing. | +| `prompt` | STRING | Yes | | A text prompt describing the video content. This can include both positive and negative descriptions. | +| `video` | VIDEO | Yes | | Video for editing. The output video length will be the same. | +| `keep_original_sound` | BOOLEAN | Yes | | Determines if the original audio from the input video is kept in the output (default: True). | +| `reference_images` | IMAGE | No | | Up to 4 additional reference images. | +| `resolution` | COMBO | No | `"1080p"`
`"720p"` | The resolution for the output video (default: "1080p"). | + +**Constraints and Limitations:** + +* The `prompt` must be between 1 and 2500 characters long. +* The input `video` must be between 3.0 and 10.05 seconds in duration. +* The input `video` dimensions must be between 720x720 and 2160x2160 pixels. +* A maximum of 4 `reference_images` can be provided when a video is used. +* Each `reference_image` must be at least 300x300 pixels. +* Each `reference_image` must have an aspect ratio between 1:2.5 and 2.5:1. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The edited video generated by the AI model. | diff --git a/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx b/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx new file mode 100644 index 000000000..015d63e2b --- /dev/null +++ b/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx @@ -0,0 +1,36 @@ +--- +title: "KlingOmniProFirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "This node uses the Kling AI model to generate a video. It requires a starting image and a text prompt. You can optionally provide an ending image or up to six reference images to guide the video's ..." +sidebarTitle: "KlingOmniProFirstLastFrameNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md) + +This node uses the Kling AI model to generate a video. It requires a starting image and a text prompt. You can optionally provide an ending image or up to six reference images to guide the video's content and style. The node processes these inputs to create a video of a specified duration and resolution. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_name` | COMBO | Yes | `"kling-video-o1"` | The specific Kling AI model to use for video generation. | +| `prompt` | STRING | Yes | - | A text prompt describing the video content. This can include both positive and negative descriptions. | +| `duration` | INT | Yes | 3 to 10 | The desired length of the generated video in seconds (default: 5). | +| `first_frame` | IMAGE | Yes | - | The starting image for the video sequence. | +| `end_frame` | IMAGE | No | - | An optional end frame for the video. This cannot be used simultaneously with `reference_images`. | +| `reference_images` | IMAGE | No | - | Up to 6 additional reference images. | +| `resolution` | COMBO | No | `"1080p"`
`"720p"` | The output resolution for the generated video (default: "1080p"). | + +**Important Constraints:** + +* The `end_frame` input cannot be used at the same time as the `reference_images` input. +* If you do not provide an `end_frame` or any `reference_images`, the `duration` can only be set to 5 or 10 seconds. +* All input images (`first_frame`, `end_frame`, and any `reference_images`) must have a minimum dimension of 300 pixels in both width and height. +* The aspect ratio of all input images must be between 1:2.5 and 2.5:1. +* A maximum of 6 images can be provided via the `reference_images` input. +* The `prompt` text must be between 1 and 2500 characters in length. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | diff --git a/built-in-nodes/KlingOmniProImageNode.mdx b/built-in-nodes/KlingOmniProImageNode.mdx new file mode 100644 index 000000000..1ff4c04ee --- /dev/null +++ b/built-in-nodes/KlingOmniProImageNode.mdx @@ -0,0 +1,25 @@ +--- +title: "KlingOmniProImageNode - ComfyUI Built-in Node Documentation" +description: "The Kling Omni Image (Pro) node generates or edits images using the Kling AI model. It creates images based on a text description and allows you to provide reference images to guide the style or co..." +sidebarTitle: "KlingOmniProImageNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md) + +The Kling Omni Image (Pro) node generates or edits images using the Kling AI model. It creates images based on a text description and allows you to provide reference images to guide the style or content. The node sends a request to an external API, which processes the task and returns the final image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +| :--- | :--- | :--- | :--- | :--- | +| `model_name` | COMBO | Yes | `"kling-image-o1"` | The specific Kling AI model to use for image generation. | +| `prompt` | STRING | Yes | - | A text prompt describing the image content. This can include both positive and negative descriptions. The text must be between 1 and 2500 characters long. | +| `resolution` | COMBO | Yes | `"1K"`
`"2K"` | The target resolution for the generated image. | +| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"3:2"`
`"2:3"`
`"21:9"` | The desired aspect ratio (width to height) for the generated image. | +| `reference_images` | IMAGE | No | - | Up to 10 additional reference images. Each image must be at least 300 pixels in both width and height, and its aspect ratio must be between 1:2.5 and 2.5:1. | + +## Outputs + +| Output Name | Data Type | Description | +| :--- | :--- | :--- | +| `image` | IMAGE | The final image generated or edited by the Kling AI model. | diff --git a/built-in-nodes/KlingOmniProImageToVideoNode.mdx b/built-in-nodes/KlingOmniProImageToVideoNode.mdx new file mode 100644 index 000000000..8915c4395 --- /dev/null +++ b/built-in-nodes/KlingOmniProImageToVideoNode.mdx @@ -0,0 +1,28 @@ +--- +title: "KlingOmniProImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "This node uses the Kling AI model to generate a video based on a text prompt and up to seven reference images. It allows you to control the video's aspect ratio, duration, and resolution. The node ..." +sidebarTitle: "KlingOmniProImageToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md) + +This node uses the Kling AI model to generate a video based on a text prompt and up to seven reference images. It allows you to control the video's aspect ratio, duration, and resolution. The node sends the request to an external API and returns the generated video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_name` | COMBO | Yes | `"kling-video-o1"` | The specific Kling model to use for video generation. | +| `prompt` | STRING | Yes | - | A text prompt describing the video content. This can include both positive and negative descriptions. The text is automatically normalized and must be between 1 and 2500 characters. | +| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The desired aspect ratio for the generated video. | +| `duration` | INT | Yes | 3 to 10 | The length of the video in seconds. The value can be adjusted with a slider (default: 3). | +| `reference_images` | IMAGE | Yes | - | Up to 7 reference images. Each image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | +| `resolution` | COMBO | No | `"1080p"`
`"720p"` | The output resolution of the video. This parameter is optional (default: "1080p"). | + +**Note:** The `reference_images` input accepts a maximum of 7 images. If more are provided, the node will raise an error. Each image is validated for minimum dimensions and aspect ratio. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | diff --git a/built-in-nodes/KlingOmniProTextToVideoNode.mdx b/built-in-nodes/KlingOmniProTextToVideoNode.mdx new file mode 100644 index 000000000..46b6f83c2 --- /dev/null +++ b/built-in-nodes/KlingOmniProTextToVideoNode.mdx @@ -0,0 +1,25 @@ +--- +title: "KlingOmniProTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "This node uses the Kling AI model to generate a video from a text description. It sends your prompt to a remote API and returns the generated video. The node allows you to control the video's lengt..." +sidebarTitle: "KlingOmniProTextToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md) + +This node uses the Kling AI model to generate a video from a text description. It sends your prompt to a remote API and returns the generated video. The node allows you to control the video's length, shape, and quality. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_name` | COMBO | Yes | `"kling-video-o1"` | The specific Kling model to use for video generation. | +| `prompt` | STRING | Yes | 1 to 2500 characters | A text prompt describing the video content. This can include both positive and negative descriptions. | +| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The shape or dimensions of the video to generate. | +| `duration` | COMBO | Yes | `5`
`10` | The length of the video in seconds. | +| `resolution` | COMBO | No | `"1080p"`
`"720p"` | The quality or pixel resolution of the video (default: `"1080p"`). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The video generated based on the provided text prompt. | diff --git a/built-in-nodes/KlingOmniProVideoToVideoNode.mdx b/built-in-nodes/KlingOmniProVideoToVideoNode.mdx new file mode 100644 index 000000000..75a3e9a76 --- /dev/null +++ b/built-in-nodes/KlingOmniProVideoToVideoNode.mdx @@ -0,0 +1,35 @@ +--- +title: "KlingOmniProVideoToVideoNode - ComfyUI Built-in Node Documentation" +description: "This node uses the Kling AI model to generate a new video based on an input video and optional reference images. You provide a text prompt describing the desired content, and the node transforms th..." +sidebarTitle: "KlingOmniProVideoToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md) + +This node uses the Kling AI model to generate a new video based on an input video and optional reference images. You provide a text prompt describing the desired content, and the node transforms the reference video accordingly. It can also incorporate up to four additional reference images to guide the style and content of the output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_name` | COMBO | Yes | `"kling-video-o1"` | The specific Kling model to use for video generation. | +| `prompt` | STRING | Yes | N/A | A text prompt describing the video content. This can include both positive and negative descriptions. | +| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The desired aspect ratio for the generated video. | +| `duration` | INT | Yes | 3 to 10 | The length of the generated video in seconds (default: 3). | +| `reference_video` | VIDEO | Yes | N/A | Video to use as a reference. | +| `keep_original_sound` | BOOLEAN | Yes | N/A | Determines if the audio from the reference video is kept in the output (default: True). | +| `reference_images` | IMAGE | No | N/A | Up to 4 additional reference images. | +| `resolution` | COMBO | No | `"1080p"`
`"720p"` | The resolution for the generated video (default: "1080p"). | + +**Parameter Constraints:** + +* The `prompt` must be between 1 and 2500 characters long. +* The `reference_video` must be between 3.0 and 10.05 seconds in duration. +* The `reference_video` must have dimensions between 720x720 and 2160x2160 pixels. +* A maximum of 4 `reference_images` can be provided. Each image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The newly generated video. | diff --git a/built-in-nodes/KlingSingleImageVideoEffectNode.mdx b/built-in-nodes/KlingSingleImageVideoEffectNode.mdx new file mode 100644 index 000000000..daafeedc0 --- /dev/null +++ b/built-in-nodes/KlingSingleImageVideoEffectNode.mdx @@ -0,0 +1,28 @@ +--- +title: "KlingSingleImageVideoEffectNode - ComfyUI Built-in Node Documentation" +description: "The Kling Single Image Video Effect Node creates videos with different special effects based on a single reference image. It applies various visual effects and scenes to transform static images int..." +sidebarTitle: "KlingSingleImageVideoEffectNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md) + +The Kling Single Image Video Effect Node creates videos with different special effects based on a single reference image. It applies various visual effects and scenes to transform static images into dynamic video content. The node supports different effect scenes, model options, and video durations to achieve the desired visual outcome. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | Reference Image. URL or Base64 encoded string (without data:image prefix). File size cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1 | +| `effect_scene` | COMBO | Yes | Options from KlingSingleImageEffectsScene | The type of special effect scene to apply to the video generation | +| `model_name` | COMBO | Yes | Options from KlingSingleImageEffectModelName | The specific model to use for generating the video effect | +| `duration` | COMBO | Yes | Options from KlingVideoGenDuration | The length of the generated video | + +**Note:** The specific options for `effect_scene`, `model_name`, and `duration` are determined by the available values in their respective enum classes (KlingSingleImageEffectsScene, KlingSingleImageEffectModelName, and KlingVideoGenDuration). + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video with applied effects | +| `video_id` | STRING | The unique identifier for the generated video | +| `duration` | STRING | The duration of the generated video | diff --git a/built-in-nodes/KlingStartEndFrameNode.mdx b/built-in-nodes/KlingStartEndFrameNode.mdx new file mode 100644 index 000000000..e211877aa --- /dev/null +++ b/built-in-nodes/KlingStartEndFrameNode.mdx @@ -0,0 +1,36 @@ +--- +title: "KlingStartEndFrameNode - ComfyUI Built-in Node Documentation" +description: "Kling Start-End Frame to Video node creates a video sequence that transitions between your provided start and end images. It generates all the frames in between to produce a smooth transformation f..." +sidebarTitle: "KlingStartEndFrameNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md) + +Kling Start-End Frame to Video node creates a video sequence that transitions between your provided start and end images. It generates all the frames in between to produce a smooth transformation from the first frame to the last frame. This node calls the image-to-video API but only supports the input options that work with the `image_tail` request field. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `start_frame` | IMAGE | Yes | - | Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1. Base64 should not include data:image prefix. | +| `end_frame` | IMAGE | Yes | - | Reference Image - End frame control. URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px. Base64 should not include data:image prefix. | +| `prompt` | STRING | Yes | - | Positive text prompt | +| `negative_prompt` | STRING | Yes | - | Negative text prompt | +| `cfg_scale` | FLOAT | No | 0.0-1.0 | Controls the strength of the prompt guidance (default: 0.5) | +| `aspect_ratio` | COMBO | No | "16:9"
"9:16"
"1:1"
"21:9"
"9:21"
"3:4"
"4:3" | The aspect ratio for the generated video (default: "16:9") | +| `mode` | COMBO | No | Multiple options available | The configuration to use for the video generation following the format: mode / duration / model_name. (default: third option from available modes) | + +**Image Constraints:** + +- Both `start_frame` and `end_frame` must be provided and cannot exceed 10MB file size +- Minimum resolution: 300×300 pixels for both images +- `start_frame` aspect ratio must be between 1:2.5 and 2.5:1 +- Base64 encoded images should not include the "data:image" prefix + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video sequence | +| `video_id` | STRING | Unique identifier for the generated video | +| `duration` | STRING | Duration of the generated video | diff --git a/built-in-nodes/KlingTextToVideoNode.mdx b/built-in-nodes/KlingTextToVideoNode.mdx new file mode 100644 index 000000000..01072151f --- /dev/null +++ b/built-in-nodes/KlingTextToVideoNode.mdx @@ -0,0 +1,27 @@ +--- +title: "KlingTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "The Kling Text to Video Node converts text descriptions into video content. It takes text prompts and generates corresponding video sequences based on the specified configuration settings. The node..." +sidebarTitle: "KlingTextToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md) + +The Kling Text to Video Node converts text descriptions into video content. It takes text prompts and generates corresponding video sequences based on the specified configuration settings. The node supports different aspect ratios and generation modes to produce videos of varying durations and quality. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Positive text prompt (default: none) | +| `negative_prompt` | STRING | Yes | - | Negative text prompt (default: none) | +| `cfg_scale` | FLOAT | No | 0.0-1.0 | Configuration scale value (default: 1.0) | +| `aspect_ratio` | COMBO | No | Options from KlingVideoGenAspectRatio | Video aspect ratio setting (default: "16:9") | +| `mode` | COMBO | No | Multiple options available | The configuration to use for the video generation following the format: mode / duration / model_name. (default: modes[4]) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video output | +| `video_id` | STRING | Unique identifier for the generated video | +| `duration` | STRING | Duration information for the generated video | diff --git a/built-in-nodes/KlingTextToVideoWithAudio.mdx b/built-in-nodes/KlingTextToVideoWithAudio.mdx new file mode 100644 index 000000000..9ff0f1377 --- /dev/null +++ b/built-in-nodes/KlingTextToVideoWithAudio.mdx @@ -0,0 +1,26 @@ +--- +title: "KlingTextToVideoWithAudio - ComfyUI Built-in Node Documentation" +description: "The Kling Text to Video with Audio node generates a short video from a text description. It sends a request to the Kling AI service, which processes the prompt and returns a video file. The node ca..." +sidebarTitle: "KlingTextToVideoWithAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md) + +The Kling Text to Video with Audio node generates a short video from a text description. It sends a request to the Kling AI service, which processes the prompt and returns a video file. The node can also generate accompanying audio for the video based on the text. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_name` | COMBO | Yes | `"kling-v2-6"` | The specific AI model to use for video generation. | +| `prompt` | STRING | Yes | - | Positive text prompt. The description used to generate the video. Must be between 1 and 2500 characters. | +| `mode` | COMBO | Yes | `"pro"` | The operational mode for the video generation. | +| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The desired width-to-height ratio for the generated video. | +| `duration` | COMBO | Yes | `5`
`10` | The length of the video in seconds. | +| `generate_audio` | BOOLEAN | No | - | Controls whether audio is generated for the video. When enabled, the AI will create sound based on the prompt. (default: `True`) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | diff --git a/built-in-nodes/KlingVideoExtendNode.mdx b/built-in-nodes/KlingVideoExtendNode.mdx new file mode 100644 index 000000000..3ad0d086e --- /dev/null +++ b/built-in-nodes/KlingVideoExtendNode.mdx @@ -0,0 +1,28 @@ +--- +title: "KlingVideoExtendNode - ComfyUI Built-in Node Documentation" +description: "The Kling Video Extend Node allows you to extend videos created by other Kling nodes. It takes an existing video identified by its video ID and generates additional content based on your text promp..." +sidebarTitle: "KlingVideoExtendNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md) + +The Kling Video Extend Node allows you to extend videos created by other Kling nodes. It takes an existing video identified by its video ID and generates additional content based on your text prompts. The node works by sending your extension request to the Kling API and returning the extended video along with its new ID and duration. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | No | - | Positive text prompt for guiding the video extension | +| `negative_prompt` | STRING | No | - | Negative text prompt for elements to avoid in the extended video | +| `cfg_scale` | FLOAT | No | 0.0 - 1.0 | Controls the strength of prompt guidance (default: 0.5) | +| `video_id` | STRING | Yes | - | The ID of the video to be extended. Supports videos generated by text-to-video, image-to-video, and previous video extension operations. Cannot exceed 3 minutes total duration after extension. | + +**Note:** The `video_id` must reference a video created by other Kling nodes, and the total duration after extension cannot exceed 3 minutes. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The extended video generated by the Kling API | +| `video_id` | STRING | The unique identifier for the extended video | +| `duration` | STRING | The duration of the extended video | diff --git a/built-in-nodes/KlingVideoNode.mdx b/built-in-nodes/KlingVideoNode.mdx new file mode 100644 index 000000000..8791186d3 --- /dev/null +++ b/built-in-nodes/KlingVideoNode.mdx @@ -0,0 +1,41 @@ +--- +title: "KlingVideoNode - ComfyUI Built-in Node Documentation" +description: "This node generates videos using the Kling V3 model. It supports two primary modes: text-to-video, where a video is created from a text description, and image-to-video, where an existing image is a..." +sidebarTitle: "KlingVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoNode/en.md) + +This node generates videos using the Kling V3 model. It supports two primary modes: text-to-video, where a video is created from a text description, and image-to-video, where an existing image is animated. It also offers advanced features like creating multi-segment videos with different prompts for each part (storyboards) and optionally generating accompanying audio. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `multi_shot` | COMBO | Yes | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | Controls whether to generate a single video or a series of segments with individual prompts and durations. When not "disabled," additional inputs for each storyboard's prompt and duration appear. | +| `generate_audio` | BOOLEAN | Yes | `True` / `False` | When enabled, the node will generate audio for the video. Default is `True`. | +| `model` | COMBO | Yes | `"kling-v3"` | The model and its associated settings. Selecting this option reveals the `resolution` and `aspect_ratio` sub-parameters. | +| `model.resolution` | COMBO | Yes | `"1080p"`
`"720p"` | The resolution for the generated video. This setting is available when the `model` is set to "kling-v3". | +| `model.aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The aspect ratio for the generated video. This setting is ignored when an image is provided for `start_frame` (image-to-video mode). Available when the `model` is set to "kling-v3". | +| `seed` | INT | Yes | 0 to 2147483647 | A seed value for generation. Changing this value will cause the node to re-run, but the results are non-deterministic. Default is `0`. | +| `start_frame` | IMAGE | No | - | An optional starting image. When connected, the node switches from text-to-video to image-to-video mode, animating the provided image. | + +**Inputs for `multi_shot` mode:** + +* When `multi_shot` is set to **"disabled"**, the following inputs appear: + * `prompt` (STRING): The main text description for the video. Required. Must be between 1 and 2500 characters. + * `negative_prompt` (STRING): Text describing what should not appear in the video. Optional. + * `duration` (INT): The length of the video in seconds. Must be between 3 and 15. Default is `5`. +* When `multi_shot` is set to a storyboard option (e.g., `"3 storyboards"`), inputs for each storyboard segment appear (e.g., `storyboard_1_prompt`, `storyboard_1_duration`). Each prompt must be between 1 and 512 characters. The **total sum of all storyboard durations** must be between 3 and 15 seconds. + +**Constraints:** + +* The node operates in **text-to-video** mode when `start_frame` is not connected. It uses the `model.aspect_ratio` setting in this mode. +* The node operates in **image-to-video** mode when `start_frame` is connected. The `model.aspect_ratio` setting is ignored. The input image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. +* In storyboard mode (`multi_shot` not "disabled"), the main `prompt` and `negative_prompt` inputs are hidden and not used. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The generated video file. | diff --git a/built-in-nodes/KlingVirtualTryOnNode.mdx b/built-in-nodes/KlingVirtualTryOnNode.mdx new file mode 100644 index 000000000..8c97e43ed --- /dev/null +++ b/built-in-nodes/KlingVirtualTryOnNode.mdx @@ -0,0 +1,23 @@ +--- +title: "KlingVirtualTryOnNode - ComfyUI Built-in Node Documentation" +description: "Kling Virtual Try On Node. Input a human image and a cloth image to try on the cloth on the human. You can merge multiple clothing item pictures into one image with a white background." +sidebarTitle: "KlingVirtualTryOnNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md) + +Kling Virtual Try On Node. Input a human image and a cloth image to try on the cloth on the human. You can merge multiple clothing item pictures into one image with a white background. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `human_image` | IMAGE | Yes | - | The human image to try clothes on | +| `cloth_image` | IMAGE | Yes | - | The clothing image to try on the human | +| `model_name` | STRING | Yes | `"kolors-virtual-try-on-v1"` | The virtual try-on model to use (default: "kolors-virtual-try-on-v1") | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The resulting image showing the human with the clothing item tried on | diff --git a/built-in-nodes/LTXAVTextEncoderLoader.mdx b/built-in-nodes/LTXAVTextEncoderLoader.mdx new file mode 100644 index 000000000..358e1e92d --- /dev/null +++ b/built-in-nodes/LTXAVTextEncoderLoader.mdx @@ -0,0 +1,25 @@ +--- +title: "LTXAVTextEncoderLoader - ComfyUI Built-in Node Documentation" +description: "This node loads a specialized text encoder for the LTXV audio model. It combines a specific text encoder file with a checkpoint file to create a CLIP model that can be used for audio-related text c..." +sidebarTitle: "LTXAVTextEncoderLoader" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/en.md) + +This node loads a specialized text encoder for the LTXV audio model. It combines a specific text encoder file with a checkpoint file to create a CLIP model that can be used for audio-related text conditioning tasks. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `text_encoder` | STRING | Yes | Multiple options available | The filename of the LTXV text encoder model to load. The available options are loaded from the `text_encoders` folder. | +| `ckpt_name` | STRING | Yes | Multiple options available | The filename of the checkpoint to load. The available options are loaded from the `checkpoints` folder. | +| `device` | STRING | No | `"default"`
`"cpu"` | Specifies the device to load the model onto. Use `"cpu"` to force loading onto the CPU. The default behavior (`"default"`) uses the system's automatic device placement. | + +**Note:** The `text_encoder` and `ckpt_name` parameters work together. The node loads both specified files to create a single, functional CLIP model. The files must be compatible with the LTXV architecture. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `clip` | CLIP | The loaded LTXV CLIP model, ready to be used for encoding text prompts for audio generation. | diff --git a/built-in-nodes/LTXVAddGuide.mdx b/built-in-nodes/LTXVAddGuide.mdx new file mode 100644 index 000000000..aa7f823b0 --- /dev/null +++ b/built-in-nodes/LTXVAddGuide.mdx @@ -0,0 +1,31 @@ +--- +title: "LTXVAddGuide - ComfyUI Built-in Node Documentation" +description: "The LTXVAddGuide node adds video conditioning guidance to latent sequences by encoding input images or videos and incorporating them as keyframes into the conditioning data. It processes the input ..." +sidebarTitle: "LTXVAddGuide" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAddGuide/en.md) + +The LTXVAddGuide node adds video conditioning guidance to latent sequences by encoding input images or videos and incorporating them as keyframes into the conditioning data. It processes the input through a VAE encoder and strategically places the resulting latents at specified frame positions while updating both positive and negative conditioning with keyframe information. The node handles frame alignment constraints and allows control over the strength of the conditioning influence. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning input to be modified with keyframe guidance | +| `negative` | CONDITIONING | Yes | - | Negative conditioning input to be modified with keyframe guidance | +| `vae` | VAE | Yes | - | VAE model used for encoding the input image/video frames | +| `latent` | LATENT | Yes | - | Input latent sequence that will receive the conditioning frames | +| `image` | IMAGE | Yes | - | Image or video to condition the latent video on. Must be 8*n + 1 frames. If the video is not 8*n + 1 frames, it will be cropped to the nearest 8*n + 1 frames. | +| `frame_idx` | INT | No | -9999 to 9999 | Frame index to start the conditioning at. For single-frame images or videos with 1-8 frames, any frame_idx value is acceptable. For videos with 9+ frames, frame_idx must be divisible by 8, otherwise it will be rounded down to the nearest multiple of 8. Negative values are counted from the end of the video. (default: 0) | +| `strength` | FLOAT | No | 0.0 to 1.0 | Strength of the conditioning influence, where 1.0 applies full conditioning and 0.0 applies no conditioning (default: 1.0) | + +**Note:** The input image/video must have a frame count following the 8*n + 1 pattern (e.g., 1, 9, 17, 25 frames). If the input exceeds this pattern, it will be automatically cropped to the nearest valid frame count. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Positive conditioning updated with keyframe guidance information | +| `negative` | CONDITIONING | Negative conditioning updated with keyframe guidance information | +| `latent` | LATENT | Latent sequence with incorporated conditioning frames and updated noise mask | diff --git a/built-in-nodes/LTXVAudioVAEDecode.mdx b/built-in-nodes/LTXVAudioVAEDecode.mdx new file mode 100644 index 000000000..eeaed1d39 --- /dev/null +++ b/built-in-nodes/LTXVAudioVAEDecode.mdx @@ -0,0 +1,24 @@ +--- +title: "LTXVAudioVAEDecode - ComfyUI Built-in Node Documentation" +description: "The LTXV Audio VAE Decode node converts a latent representation of audio back into an audio waveform. It uses a specialized Audio VAE model to perform this decoding process, producing an audio outp..." +sidebarTitle: "LTXVAudioVAEDecode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/en.md) + +The LTXV Audio VAE Decode node converts a latent representation of audio back into an audio waveform. It uses a specialized Audio VAE model to perform this decoding process, producing an audio output with a specific sample rate. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples` | LATENT | Yes | N/A | The latent to be decoded. | +| `audio_vae` | VAE | Yes | N/A | The Audio VAE model used for decoding the latent. | + +**Note:** If the provided latent is nested (contains multiple latents), the node will automatically use the last latent in the sequence for decoding. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `Audio` | AUDIO | The decoded audio waveform and its associated sample rate. | diff --git a/built-in-nodes/LTXVAudioVAEEncode.mdx b/built-in-nodes/LTXVAudioVAEEncode.mdx new file mode 100644 index 000000000..f16690585 --- /dev/null +++ b/built-in-nodes/LTXVAudioVAEEncode.mdx @@ -0,0 +1,22 @@ +--- +title: "LTXVAudioVAEEncode - ComfyUI Built-in Node Documentation" +description: "The LTXV Audio VAE Encode node takes an audio input and compresses it into a smaller, latent representation using a specified Audio VAE model. This process is essential for generating or manipulati..." +sidebarTitle: "LTXVAudioVAEEncode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/en.md) + +The LTXV Audio VAE Encode node takes an audio input and compresses it into a smaller, latent representation using a specified Audio VAE model. This process is essential for generating or manipulating audio within a latent space workflow, as it converts raw audio data into a format that other nodes in the pipeline can understand and process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | - | The audio to be encoded. | +| `audio_vae` | VAE | Yes | - | The Audio VAE model to use for encoding. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `Audio Latent` | LATENT | The compressed latent representation of the input audio. The output includes the latent samples, the sample rate of the VAE model, and a type identifier. | diff --git a/built-in-nodes/LTXVAudioVAELoader.mdx b/built-in-nodes/LTXVAudioVAELoader.mdx new file mode 100644 index 000000000..6395ac778 --- /dev/null +++ b/built-in-nodes/LTXVAudioVAELoader.mdx @@ -0,0 +1,21 @@ +--- +title: "LTXVAudioVAELoader - ComfyUI Built-in Node Documentation" +description: "The LTXV Audio VAE Loader node loads a pre-trained Audio Variational Autoencoder (VAE) model from a checkpoint file. It reads the specified checkpoint, loads its weights and metadata, and prepares ..." +sidebarTitle: "LTXVAudioVAELoader" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAELoader/en.md) + +The LTXV Audio VAE Loader node loads a pre-trained Audio Variational Autoencoder (VAE) model from a checkpoint file. It reads the specified checkpoint, loads its weights and metadata, and prepares the model for use in audio generation or processing workflows within ComfyUI. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `ckpt_name` | STRING | Yes | All files in the `checkpoints` folder.
*Example: `"audio_vae.safetensors"`* | Audio VAE checkpoint to load. This is a dropdown list populated with all the files found in your ComfyUI `checkpoints` directory. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `Audio VAE` | VAE | The loaded Audio Variational Autoencoder model, ready to be connected to other audio processing nodes. | diff --git a/built-in-nodes/LTXVConcatAVLatent.mdx b/built-in-nodes/LTXVConcatAVLatent.mdx new file mode 100644 index 000000000..22b9f4cc4 --- /dev/null +++ b/built-in-nodes/LTXVConcatAVLatent.mdx @@ -0,0 +1,24 @@ +--- +title: "LTXVConcatAVLatent - ComfyUI Built-in Node Documentation" +description: "The LTXVConcatAVLatent node combines a video latent representation and an audio latent representation into a single, concatenated latent output. It merges the `samples` tensors from both inputs and..." +sidebarTitle: "LTXVConcatAVLatent" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConcatAVLatent/en.md) + +The LTXVConcatAVLatent node combines a video latent representation and an audio latent representation into a single, concatenated latent output. It merges the `samples` tensors from both inputs and, if present, their `noise_mask` tensors as well, preparing them for further processing in a video generation pipeline. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video_latent` | LATENT | Yes | | The latent representation of the video data. | +| `audio_latent` | LATENT | Yes | | The latent representation of the audio data. | + +**Note:** The `samples` tensors from the `video_latent` and `audio_latent` inputs are concatenated. If either input contains a `noise_mask`, it will be used; if one is missing, a mask of ones (same shape as the corresponding `samples`) is created for it. The resulting masks are then also concatenated. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `latent` | LATENT | A single latent dictionary containing the concatenated `samples` and, if applicable, the concatenated `noise_mask` from the video and audio inputs. | diff --git a/built-in-nodes/LTXVConditioning.mdx b/built-in-nodes/LTXVConditioning.mdx new file mode 100644 index 000000000..1fa5bfb15 --- /dev/null +++ b/built-in-nodes/LTXVConditioning.mdx @@ -0,0 +1,24 @@ +--- +title: "LTXVConditioning - ComfyUI Built-in Node Documentation" +description: "The LTXVConditioning node adds frame rate information to both positive and negative conditioning inputs for video generation models. It takes existing conditioning data and applies the specified fr..." +sidebarTitle: "LTXVConditioning" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConditioning/en.md) + +The LTXVConditioning node adds frame rate information to both positive and negative conditioning inputs for video generation models. It takes existing conditioning data and applies the specified frame rate value to both conditioning sets, making them suitable for video model processing. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The positive conditioning input that will receive the frame rate information | +| `negative` | CONDITIONING | Yes | - | The negative conditioning input that will receive the frame rate information | +| `frame_rate` | FLOAT | No | 0.0 - 1000.0 | The frame rate value to apply to both conditioning sets (default: 25.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The positive conditioning with frame rate information applied | +| `negative` | CONDITIONING | The negative conditioning with frame rate information applied | diff --git a/built-in-nodes/LTXVCropGuides.mdx b/built-in-nodes/LTXVCropGuides.mdx new file mode 100644 index 000000000..ed99aae9f --- /dev/null +++ b/built-in-nodes/LTXVCropGuides.mdx @@ -0,0 +1,25 @@ +--- +title: "LTXVCropGuides - ComfyUI Built-in Node Documentation" +description: "The LTXVCropGuides node processes conditioning and latent inputs for video generation by removing keyframe information and adjusting the latent dimensions. It crops the latent image and noise mask ..." +sidebarTitle: "LTXVCropGuides" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVCropGuides/en.md) + +The LTXVCropGuides node processes conditioning and latent inputs for video generation by removing keyframe information and adjusting the latent dimensions. It crops the latent image and noise mask to exclude keyframe sections while clearing keyframe indices from both positive and negative conditioning inputs. This prepares the data for video generation workflows that don't require keyframe guidance. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The positive conditioning input containing guidance information for generation | +| `negative` | CONDITIONING | Yes | - | The negative conditioning input containing guidance information for what to avoid in generation | +| `latent` | LATENT | Yes | - | The latent representation containing image samples and noise mask data | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The processed positive conditioning with keyframe indices cleared | +| `negative` | CONDITIONING | The processed negative conditioning with keyframe indices cleared | +| `latent` | LATENT | The cropped latent representation with adjusted samples and noise mask | diff --git a/built-in-nodes/LTXVEmptyLatentAudio.mdx b/built-in-nodes/LTXVEmptyLatentAudio.mdx new file mode 100644 index 000000000..1d598bc2a --- /dev/null +++ b/built-in-nodes/LTXVEmptyLatentAudio.mdx @@ -0,0 +1,26 @@ +--- +title: "LTXVEmptyLatentAudio - ComfyUI Built-in Node Documentation" +description: "The LTXV Empty Latent Audio node creates a batch of empty (zero-filled) latent audio tensors. It uses the configuration from a provided Audio VAE model to determine the correct dimensions for the l..." +sidebarTitle: "LTXVEmptyLatentAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/en.md) + +The LTXV Empty Latent Audio node creates a batch of empty (zero-filled) latent audio tensors. It uses the configuration from a provided Audio VAE model to determine the correct dimensions for the latent space, such as the number of channels and frequency bins. This empty latent serves as a starting point for audio generation or manipulation workflows within ComfyUI. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `frames_number` | INT | Yes | 1 to 1000 | Number of frames. The default value is 97. | +| `frame_rate` | INT | Yes | 1 to 1000 | Number of frames per second. The default value is 25. | +| `batch_size` | INT | Yes | 1 to 4096 | The number of latent audio samples in the batch. The default value is 1. | +| `audio_vae` | VAE | Yes | N/A | The Audio VAE model to get configuration from. This parameter is required. | + +**Note:** The `audio_vae` input is mandatory. The node will raise an error if it is not provided. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `Latent` | LATENT | An empty latent audio tensor with the structure (samples, sample_rate, type) configured to match the input Audio VAE. | diff --git a/built-in-nodes/LTXVImgToVideo.mdx b/built-in-nodes/LTXVImgToVideo.mdx new file mode 100644 index 000000000..43fca2ee7 --- /dev/null +++ b/built-in-nodes/LTXVImgToVideo.mdx @@ -0,0 +1,31 @@ +--- +title: "LTXVImgToVideo - ComfyUI Built-in Node Documentation" +description: "The LTXVImgToVideo node converts an input image into a video latent representation for video generation models. It takes a single image and extends it into a sequence of frames using the VAE encode..." +sidebarTitle: "LTXVImgToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideo/en.md) + +The LTXVImgToVideo node converts an input image into a video latent representation for video generation models. It takes a single image and extends it into a sequence of frames using the VAE encoder, then applies conditioning with strength control to determine how much of the original image content is preserved versus modified during video generation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning prompts for guiding the video generation | +| `negative` | CONDITIONING | Yes | - | Negative conditioning prompts for avoiding certain elements in the video | +| `vae` | VAE | Yes | - | VAE model used for encoding the input image into latent space | +| `image` | IMAGE | Yes | - | Input image to be converted into video frames | +| `width` | INT | No | 64 to MAX_RESOLUTION | Output video width in pixels (default: 768, step: 32) | +| `height` | INT | No | 64 to MAX_RESOLUTION | Output video height in pixels (default: 512, step: 32) | +| `length` | INT | No | 9 to MAX_RESOLUTION | Number of frames in the generated video (default: 97, step: 8) | +| `batch_size` | INT | No | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | +| `strength` | FLOAT | No | 0.0 to 1.0 | Control over how much the original image is modified during video generation, where 1.0 preserves most of the original content and 0.0 allows maximum modification (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Processed positive conditioning with video frame masking applied | +| `negative` | CONDITIONING | Processed negative conditioning with video frame masking applied | +| `latent` | LATENT | Video latent representation containing the encoded frames and noise mask for video generation | diff --git a/built-in-nodes/LTXVImgToVideoInplace.mdx b/built-in-nodes/LTXVImgToVideoInplace.mdx new file mode 100644 index 000000000..6f52dbb0a --- /dev/null +++ b/built-in-nodes/LTXVImgToVideoInplace.mdx @@ -0,0 +1,27 @@ +--- +title: "LTXVImgToVideoInplace - ComfyUI Built-in Node Documentation" +description: "The LTXVImgToVideoInplace node conditions a video latent representation by encoding an input image into its initial frames. It works by using a VAE to encode the image into the latent space and the..." +sidebarTitle: "LTXVImgToVideoInplace" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/en.md) + +The LTXVImgToVideoInplace node conditions a video latent representation by encoding an input image into its initial frames. It works by using a VAE to encode the image into the latent space and then blending it with the existing latent samples based on a specified strength. This allows an image to serve as a starting point or conditioning signal for video generation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `vae` | VAE | Yes | - | The VAE model used to encode the input image into the latent space. | +| `image` | IMAGE | Yes | - | The input image to be encoded and used to condition the video latent. | +| `latent` | LATENT | Yes | - | The target latent video representation to be modified. | +| `strength` | FLOAT | No | 0.0 - 1.0 | Controls the blending strength of the encoded image into the latent. A value of 1.0 fully replaces the initial frames, while lower values blend them. (default: 1.0) | +| `bypass` | BOOLEAN | No | - | Bypass the conditioning. When enabled, the node returns the input latent unchanged. (default: False) | + +**Note:** The `image` will be automatically resized to match the spatial dimensions required by the `vae` for encoding, based on the `latent` input's width and height. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `latent` | LATENT | The modified latent video representation. It contains the updated samples and a `noise_mask` that applies the conditioning strength to the initial frames. | diff --git a/built-in-nodes/LTXVLatentUpsampler.mdx b/built-in-nodes/LTXVLatentUpsampler.mdx new file mode 100644 index 000000000..e16f2fb90 --- /dev/null +++ b/built-in-nodes/LTXVLatentUpsampler.mdx @@ -0,0 +1,23 @@ +--- +title: "LTXVLatentUpsampler - ComfyUI Built-in Node Documentation" +description: "The LTXVLatentUpsampler node increases the spatial resolution of a video latent representation by a factor of two. It uses a specialized upscale model to process the latent data, which is first un-..." +sidebarTitle: "LTXVLatentUpsampler" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVLatentUpsampler/en.md) + +The LTXVLatentUpsampler node increases the spatial resolution of a video latent representation by a factor of two. It uses a specialized upscale model to process the latent data, which is first un-normalized and then re-normalized using the provided VAE's channel statistics. This node is designed for video workflows within the latent space. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples` | LATENT | Yes | | The input latent representation of the video to be upscaled. | +| `upscale_model` | LATENT_UPSCALE_MODEL | Yes | | The loaded model used to perform the 2x upscaling on the latent data. | +| `vae` | VAE | Yes | | The VAE model used to un-normalize the input latents before upscaling and to normalize the output latents afterwards. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `LATENT` | LATENT | The upscaled latent representation, with spatial dimensions doubled compared to the input. | diff --git a/built-in-nodes/LTXVPreprocess.mdx b/built-in-nodes/LTXVPreprocess.mdx new file mode 100644 index 000000000..4aab5d700 --- /dev/null +++ b/built-in-nodes/LTXVPreprocess.mdx @@ -0,0 +1,22 @@ +--- +title: "LTXVPreprocess - ComfyUI Built-in Node Documentation" +description: "The LTXVPreprocess node applies compression preprocessing to images. It takes input images and processes them with a specified compression level, outputting the processed images with the applied co..." +sidebarTitle: "LTXVPreprocess" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVPreprocess/en.md) + +The LTXVPreprocess node applies compression preprocessing to images. It takes input images and processes them with a specified compression level, outputting the processed images with the applied compression settings. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be processed | +| `img_compression` | INT | No | 0-100 | Amount of compression to apply on image (default: 35) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output_image` | IMAGE | The processed output image with applied compression | diff --git a/built-in-nodes/LTXVScheduler.mdx b/built-in-nodes/LTXVScheduler.mdx new file mode 100644 index 000000000..0ff43f03a --- /dev/null +++ b/built-in-nodes/LTXVScheduler.mdx @@ -0,0 +1,28 @@ +--- +title: "LTXVScheduler - ComfyUI Built-in Node Documentation" +description: "The LTXVScheduler node generates sigma values for custom sampling processes. It calculates noise schedule parameters based on the number of tokens in the input latent and applies a sigmoid transfor..." +sidebarTitle: "LTXVScheduler" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVScheduler/en.md) + +The LTXVScheduler node generates sigma values for custom sampling processes. It calculates noise schedule parameters based on the number of tokens in the input latent and applies a sigmoid transformation to create the sampling schedule. The node can optionally stretch the resulting sigmas to match a specified terminal value. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `steps` | INT | Yes | 1-10000 | Number of sampling steps (default: 20) | +| `max_shift` | FLOAT | Yes | 0.0-100.0 | Maximum shift value for sigma calculation (default: 2.05) | +| `base_shift` | FLOAT | Yes | 0.0-100.0 | Base shift value for sigma calculation (default: 0.95) | +| `stretch` | BOOLEAN | Yes | True/False | Stretch the sigmas to be in the range [terminal, 1] (default: True) | +| `terminal` | FLOAT | Yes | 0.0-0.99 | The terminal value of the sigmas after stretching (default: 0.1) | +| `latent` | LATENT | No | - | Optional latent input used to calculate token count for sigma adjustment | + +**Note:** The `latent` parameter is optional. When not provided, the node uses a default token count of 4096 for calculations. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sigmas` | SIGMAS | Generated sigma values for the sampling process | diff --git a/built-in-nodes/LTXVSeparateAVLatent.mdx b/built-in-nodes/LTXVSeparateAVLatent.mdx new file mode 100644 index 000000000..159f620f1 --- /dev/null +++ b/built-in-nodes/LTXVSeparateAVLatent.mdx @@ -0,0 +1,24 @@ +--- +title: "LTXVSeparateAVLatent - ComfyUI Built-in Node Documentation" +description: "The LTXVSeparateAVLatent node takes a combined audio-visual latent representation and splits it into two distinct parts: one for video and one for audio. It separates the samples and, if present, t..." +sidebarTitle: "LTXVSeparateAVLatent" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/en.md) + +The LTXVSeparateAVLatent node takes a combined audio-visual latent representation and splits it into two distinct parts: one for video and one for audio. It separates the samples and, if present, the noise masks from the input latent, creating two new latent objects. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `av_latent` | LATENT | Yes | N/A | The combined audio-visual latent representation to be separated. | + +**Note:** The input latent's `samples` tensor is expected to have at least two elements along the first dimension (batch dimension). The first element is used for the video latent, and the second element is used for the audio latent. If a `noise_mask` is present, it is split in the same way. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video_latent` | LATENT | The latent representation containing the separated video data. | +| `audio_latent` | LATENT | The latent representation containing the separated audio data. | diff --git a/built-in-nodes/LaplaceScheduler.mdx b/built-in-nodes/LaplaceScheduler.mdx new file mode 100644 index 000000000..e839910e9 --- /dev/null +++ b/built-in-nodes/LaplaceScheduler.mdx @@ -0,0 +1,25 @@ +--- +title: "LaplaceScheduler - ComfyUI Built-in Node Documentation" +description: "The LaplaceScheduler node generates a sequence of sigma values following a Laplace distribution for use in diffusion sampling. It creates a schedule of noise levels that gradually decrease from a m..." +sidebarTitle: "LaplaceScheduler" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LaplaceScheduler/en.md) + +The LaplaceScheduler node generates a sequence of sigma values following a Laplace distribution for use in diffusion sampling. It creates a schedule of noise levels that gradually decrease from a maximum to minimum value, using Laplace distribution parameters to control the progression. This scheduler is commonly used in custom sampling workflows to define the noise schedule for diffusion models. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `steps` | INT | Yes | 1 to 10000 | Number of sampling steps in the schedule (default: 20) | +| `sigma_max` | FLOAT | Yes | 0.0 to 5000.0 | Maximum sigma value at the start of the schedule (default: 14.614642) | +| `sigma_min` | FLOAT | Yes | 0.0 to 5000.0 | Minimum sigma value at the end of the schedule (default: 0.0291675) | +| `mu` | FLOAT | Yes | -10.0 to 10.0 | Mean parameter for the Laplace distribution (default: 0.0) | +| `beta` | FLOAT | Yes | 0.0 to 10.0 | Scale parameter for the Laplace distribution (default: 0.5) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `SIGMAS` | SIGMAS | A sequence of sigma values following a Laplace distribution schedule | diff --git a/built-in-nodes/LatentAdd.mdx b/built-in-nodes/LatentAdd.mdx new file mode 100644 index 000000000..caa63a841 --- /dev/null +++ b/built-in-nodes/LatentAdd.mdx @@ -0,0 +1,20 @@ +--- +title: "LatentAdd - ComfyUI Built-in Node Documentation" +description: "The LatentAdd node is designed for the addition of two latent representations. It facilitates the combination of features or characteristics encoded in these representations by performing element-w..." +sidebarTitle: "LatentAdd" +icon: "circle" +--- +The LatentAdd node is designed for the addition of two latent representations. It facilitates the combination of features or characteristics encoded in these representations by performing element-wise addition. + +## Inputs + +| Parameter | Data Type | Description | +|--------------|-------------|-------------| +| `samples1` | `LATENT` | The first set of latent samples to be added. It represents one of the inputs whose features are to be combined with another set of latent samples. | +| `samples2` | `LATENT` | The second set of latent samples to be added. It serves as the other input whose features are combined with the first set of latent samples through element-wise addition. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The result of the element-wise addition of two latent samples, representing a new set of latent samples that combines the features of both inputs. | diff --git a/built-in-nodes/LatentApplyOperation.mdx b/built-in-nodes/LatentApplyOperation.mdx new file mode 100644 index 000000000..1fb1566fa --- /dev/null +++ b/built-in-nodes/LatentApplyOperation.mdx @@ -0,0 +1,22 @@ +--- +title: "LatentApplyOperation - ComfyUI Built-in Node Documentation" +description: "The LatentApplyOperation node applies a specified operation to latent samples. It takes latent data and an operation as inputs, processes the latent samples using the provided operation, and return..." +sidebarTitle: "LatentApplyOperation" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperation/en.md) + +The LatentApplyOperation node applies a specified operation to latent samples. It takes latent data and an operation as inputs, processes the latent samples using the provided operation, and returns the modified latent data. This node allows you to transform or manipulate latent representations in your workflow. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples` | LATENT | Yes | - | The latent samples to be processed by the operation | +| `operation` | LATENT_OPERATION | Yes | - | The operation to apply to the latent samples | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | LATENT | The modified latent samples after applying the operation | diff --git a/built-in-nodes/LatentApplyOperationCFG.mdx b/built-in-nodes/LatentApplyOperationCFG.mdx new file mode 100644 index 000000000..4572d12af --- /dev/null +++ b/built-in-nodes/LatentApplyOperationCFG.mdx @@ -0,0 +1,22 @@ +--- +title: "LatentApplyOperationCFG - ComfyUI Built-in Node Documentation" +description: "The LatentApplyOperationCFG node applies a latent operation to modify the conditioning guidance process in a model. It works by intercepting the conditioning outputs during the classifier-free guid..." +sidebarTitle: "LatentApplyOperationCFG" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperationCFG/en.md) + +The LatentApplyOperationCFG node applies a latent operation to modify the conditioning guidance process in a model. It works by intercepting the conditioning outputs during the classifier-free guidance (CFG) sampling process and applying the specified operation to the latent representations before they are used for generation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to which the CFG operation will be applied | +| `operation` | LATENT_OPERATION | Yes | - | The latent operation to apply during the CFG sampling process | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with the CFG operation applied to its sampling process | diff --git a/built-in-nodes/LatentBatch.mdx b/built-in-nodes/LatentBatch.mdx new file mode 100644 index 000000000..93cccc6a7 --- /dev/null +++ b/built-in-nodes/LatentBatch.mdx @@ -0,0 +1,20 @@ +--- +title: "LatentBatch - ComfyUI Built-in Node Documentation" +description: "The LatentBatch node is designed to merge two sets of latent samples into a single batch, potentially resizing one set to match the dimensions of the other before concatenation. This operation faci..." +sidebarTitle: "LatentBatch" +icon: "circle" +--- +The LatentBatch node is designed to merge two sets of latent samples into a single batch, potentially resizing one set to match the dimensions of the other before concatenation. This operation facilitates the combination of different latent representations for further processing or generation tasks. + +## Inputs + +| Parameter | Data Type | Description | +|--------------|-------------|-------------| +| `samples1` | `LATENT` | The first set of latent samples to be merged. It plays a crucial role in determining the final shape of the merged batch. | +| `samples2` | `LATENT` | The second set of latent samples to be merged. If its dimensions differ from the first set, it is resized to ensure compatibility before merging. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The merged set of latent samples, now combined into a single batch for further processing. | diff --git a/built-in-nodes/LatentBatchSeedBehavior.mdx b/built-in-nodes/LatentBatchSeedBehavior.mdx new file mode 100644 index 000000000..be032f901 --- /dev/null +++ b/built-in-nodes/LatentBatchSeedBehavior.mdx @@ -0,0 +1,20 @@ +--- +title: "LatentBatchSeedBehavior - ComfyUI Built-in Node Documentation" +description: "The LatentBatchSeedBehavior node is designed to modify the seed behavior of a batch of latent samples. It allows for either randomizing or fixing the seed across the batch, thereby influencing the ..." +sidebarTitle: "LatentBatchSeedBehavior" +icon: "circle" +--- +The LatentBatchSeedBehavior node is designed to modify the seed behavior of a batch of latent samples. It allows for either randomizing or fixing the seed across the batch, thereby influencing the generation process by either introducing variability or maintaining consistency in the generated outputs. + +## Inputs + +| Parameter | Data Type | Description | +|-----------------|--------------|-------------| +| `samples` | `LATENT` | The 'samples' parameter represents the batch of latent samples to be processed. Its modification depends on the seed behavior chosen, affecting the consistency or variability of the generated outputs. | +| `seed_behavior` | COMBO[STRING] | The 'seed_behavior' parameter dictates whether the seed for the batch of latent samples should be randomized or fixed. This choice significantly impacts the generation process by either introducing variability or ensuring consistency across the batch. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The output is a modified version of the input latent samples, with adjustments made based on the specified seed behavior. It either maintains or alters the batch index to reflect the chosen seed behavior. | diff --git a/built-in-nodes/LatentBlend.mdx b/built-in-nodes/LatentBlend.mdx new file mode 100644 index 000000000..00002b86f --- /dev/null +++ b/built-in-nodes/LatentBlend.mdx @@ -0,0 +1,25 @@ +--- +title: "LatentBlend - ComfyUI Built-in Node Documentation" +description: "The LatentBlend node combines two latent samples by blending them together using a specified blend factor. It takes two latent inputs and creates a new output where the first sample is weighted by ..." +sidebarTitle: "LatentBlend" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBlend/en.md) + +The LatentBlend node combines two latent samples by blending them together using a specified blend factor. It takes two latent inputs and creates a new output where the first sample is weighted by the blend factor and the second sample is weighted by the inverse. If the input samples have different shapes, the second sample is automatically resized to match the first sample's dimensions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples1` | LATENT | Yes | - | The first latent sample to blend | +| `samples2` | LATENT | Yes | - | The second latent sample to blend | +| `blend_factor` | FLOAT | Yes | 0 to 1 | Controls the blending ratio between the two samples (default: 0.5) | + +**Note:** If `samples1` and `samples2` have different shapes, `samples2` will be automatically resized to match the dimensions of `samples1` using bicubic interpolation with center cropping. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `latent` | LATENT | The blended latent sample combining both input samples | diff --git a/built-in-nodes/LatentComposite.mdx b/built-in-nodes/LatentComposite.mdx new file mode 100644 index 000000000..e3dc1e272 --- /dev/null +++ b/built-in-nodes/LatentComposite.mdx @@ -0,0 +1,23 @@ +--- +title: "LatentComposite - ComfyUI Built-in Node Documentation" +description: "The LatentComposite node is designed to blend or merge two latent representations into a single output. This process is essential for creating composite images or features by combining the characte..." +sidebarTitle: "LatentComposite" +icon: "circle" +--- +The LatentComposite node is designed to blend or merge two latent representations into a single output. This process is essential for creating composite images or features by combining the characteristics of the input latents in a controlled manner. + +## Inputs + +| Parameter | Data Type | Description | +|--------------|-------------|-------------| +| `samples_to` | `LATENT` | The 'samples_to' latent representation where the 'samples_from' will be composited onto. It serves as the base for the composite operation. | +| `samples_from` | `LATENT` | The 'samples_from' latent representation to be composited onto the 'samples_to'. It contributes its features or characteristics to the final composite output. | +| `x` | `INT` | The x-coordinate (horizontal position) where the 'samples_from' latent will be placed on the 'samples_to'. It determines the horizontal alignment of the composite. | +| `y` | `INT` | The y-coordinate (vertical position) where the 'samples_from' latent will be placed on the 'samples_to'. It determines the vertical alignment of the composite. | +| `feather` | `INT` | A boolean indicating whether the 'samples_from' latent should be resized to match the 'samples_to' before compositing. This can affect the scale and proportion of the composite result. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The output is a composite latent representation, blending the features of both 'samples_to' and 'samples_from' latents based on the specified coordinates and resizing option. | diff --git a/built-in-nodes/LatentCompositeMasked.mdx b/built-in-nodes/LatentCompositeMasked.mdx new file mode 100644 index 000000000..25577edfe --- /dev/null +++ b/built-in-nodes/LatentCompositeMasked.mdx @@ -0,0 +1,25 @@ +--- +title: "LatentCompositeMasked - ComfyUI Built-in Node Documentation" +description: "The LatentCompositeMasked node is designed for blending two latent representations together at specified coordinates, optionally using a mask for more controlled compositing. This node enables the ..." +sidebarTitle: "LatentCompositeMasked" +icon: "circle" +--- + +The LatentCompositeMasked node is designed for blending two latent representations together at specified coordinates, optionally using a mask for more controlled compositing. This node enables the creation of complex latent images by overlaying parts of one image onto another, with the ability to resize the source image for a perfect fit. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `destination` | `LATENT` | The latent representation onto which another latent representation will be composited. Acts as the base layer for the composite operation. | +| `source` | `LATENT` | The latent representation to be composited onto the destination. This source layer can be resized and positioned according to the specified parameters. | +| `x` | `INT` | The x-coordinate in the destination latent representation where the source will be placed. Allows for precise positioning of the source layer. | +| `y` | `INT` | The y-coordinate in the destination latent representation where the source will be placed, enabling accurate overlay positioning. | +| `resize_source` | `BOOLEAN` | A boolean flag indicating whether the source latent representation should be resized to match the destination's dimensions before compositing. | +| `mask` | `MASK` | An optional mask that can be used to control the blending of the source onto the destination. The mask defines which parts of the source will be visible in the final composite. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The resulting latent representation after compositing the source onto the destination, potentially using a mask for selective blending. | diff --git a/built-in-nodes/LatentConcat.mdx b/built-in-nodes/LatentConcat.mdx new file mode 100644 index 000000000..863d6c4d2 --- /dev/null +++ b/built-in-nodes/LatentConcat.mdx @@ -0,0 +1,25 @@ +--- +title: "LatentConcat - ComfyUI Built-in Node Documentation" +description: "The LatentConcat node combines two latent samples along a specified dimension. It takes two latent inputs and concatenates them together along the chosen axis (x, y, or t dimension). The node autom..." +sidebarTitle: "LatentConcat" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentConcat/en.md) + +The LatentConcat node combines two latent samples along a specified dimension. It takes two latent inputs and concatenates them together along the chosen axis (x, y, or t dimension). The node automatically adjusts the batch size of the second input to match the first input before performing the concatenation operation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples1` | LATENT | Yes | - | The first latent sample to concatenate | +| `samples2` | LATENT | Yes | - | The second latent sample to concatenate | +| `dim` | COMBO | Yes | `"x"`
`"-x"`
`"y"`
`"-y"`
`"t"`
`"-t"` | The dimension along which to concatenate the latent samples. Positive values concatenate samples1 before samples2, negative values concatenate samples2 before samples1 | + +**Note:** The second latent sample (`samples2`) is automatically adjusted to match the batch size of the first latent sample (`samples1`) before concatenation. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | LATENT | The concatenated latent samples resulting from combining the two input samples along the specified dimension | diff --git a/built-in-nodes/LatentCrop.mdx b/built-in-nodes/LatentCrop.mdx new file mode 100644 index 000000000..45adbff79 --- /dev/null +++ b/built-in-nodes/LatentCrop.mdx @@ -0,0 +1,24 @@ +--- +title: "LatentCrop - ComfyUI Built-in Node Documentation" +description: "The LatentCrop node is designed to perform cropping operations on latent representations of images. It allows for the specification of the crop dimensions and position, enabling targeted modificati..." +sidebarTitle: "LatentCrop" +icon: "circle" +--- + +The LatentCrop node is designed to perform cropping operations on latent representations of images. It allows for the specification of the crop dimensions and position, enabling targeted modifications of the latent space. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `samples` | `LATENT` | The 'samples' parameter represents the latent representations to be cropped. It is crucial for defining the data on which the cropping operation will be performed. | +| `width` | `INT` | Specifies the width of the crop area. It directly influences the dimensions of the output latent representation. | +| `height` | `INT` | Specifies the height of the crop area, affecting the size of the resulting cropped latent representation. | +| `x` | `INT` | Determines the starting x-coordinate of the crop area, influencing the position of the crop within the original latent representation. | +| `y` | `INT` | Determines the starting y-coordinate of the crop area, setting the position of the crop within the original latent representation. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The output is a modified latent representation with the specified crop applied. | diff --git a/built-in-nodes/LatentCut.mdx b/built-in-nodes/LatentCut.mdx new file mode 100644 index 000000000..46eb2bbe4 --- /dev/null +++ b/built-in-nodes/LatentCut.mdx @@ -0,0 +1,24 @@ +--- +title: "LatentCut - ComfyUI Built-in Node Documentation" +description: "The LatentCut node extracts a specific section from latent samples along a chosen dimension. It allows you to cut out a portion of the latent representation by specifying the dimension (x, y, or t)..." +sidebarTitle: "LatentCut" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCut/en.md) + +The LatentCut node extracts a specific section from latent samples along a chosen dimension. It allows you to cut out a portion of the latent representation by specifying the dimension (x, y, or t), starting position, and amount to extract. The node handles both positive and negative indexing and automatically adjusts the extraction amount to stay within the available bounds. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples` | LATENT | Yes | - | The input latent samples to extract from | +| `dim` | COMBO | Yes | "x"
"y"
"t" | The dimension along which to cut the latent samples | +| `index` | INT | No | -16384 to 16384 | The starting position for the cut (default: 0). Positive values count from the start, negative values count from the end | +| `amount` | INT | No | 1 to 16384 | The number of elements to extract along the specified dimension (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | LATENT | The extracted portion of the latent samples | diff --git a/built-in-nodes/LatentCutToBatch.mdx b/built-in-nodes/LatentCutToBatch.mdx new file mode 100644 index 000000000..fbd144ff5 --- /dev/null +++ b/built-in-nodes/LatentCutToBatch.mdx @@ -0,0 +1,23 @@ +--- +title: "LatentCutToBatch - ComfyUI Built-in Node Documentation" +description: "The LatentCutToBatch node takes a latent representation and splits it along a specified dimension into multiple slices. These slices are then stacked into a new batch dimension, effectively convert..." +sidebarTitle: "LatentCutToBatch" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/en.md) + +The LatentCutToBatch node takes a latent representation and splits it along a specified dimension into multiple slices. These slices are then stacked into a new batch dimension, effectively converting a single latent sample into a batch of smaller latent samples. This is useful for processing different parts of a latent space independently. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples` | LATENT | Yes | - | The latent representation to be split and batched. | +| `dim` | COMBO | Yes | `"t"`
`"x"`
`"y"` | The dimension along which to cut the latent samples. `"t"` refers to the temporal dimension, `"x"` to the width, and `"y"` to the height. | +| `slice_size` | INT | Yes | 1 to 16384 | The size of each slice to cut from the specified dimension. If the dimension's size is not perfectly divisible by this value, the remainder is discarded. (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `samples` | LATENT | The resulting latent batch, containing the sliced and stacked samples. | diff --git a/built-in-nodes/LatentFlip.mdx b/built-in-nodes/LatentFlip.mdx new file mode 100644 index 000000000..0d9dc1ac8 --- /dev/null +++ b/built-in-nodes/LatentFlip.mdx @@ -0,0 +1,21 @@ +--- +title: "LatentFlip - ComfyUI Built-in Node Documentation" +description: "The LatentFlip node is designed to manipulate latent representations by flipping them either vertically or horizontally. This operation allows for the transformation of the latent space, potentiall..." +sidebarTitle: "LatentFlip" +icon: "circle" +--- + +The LatentFlip node is designed to manipulate latent representations by flipping them either vertically or horizontally. This operation allows for the transformation of the latent space, potentially uncovering new variations or perspectives within the data. + +## Inputs + +| Parameter | Data Type | Description | +|---------------|--------------|-------------| +| `samples` | `LATENT` | The 'samples' parameter represents the latent representations to be flipped. The flipping operation alters these representations, either vertically or horizontally, depending on the 'flip_method' parameter, thus transforming the data in the latent space. | +| `flip_method` | COMBO[STRING] | The 'flip_method' parameter specifies the axis along which the latent samples will be flipped. It can be either 'x-axis: vertically' or 'y-axis: horizontally', determining the direction of the flip and thus the nature of the transformation applied to the latent representations. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The output is a modified version of the input latent representations, having been flipped according to the specified method. This transformation can introduce new variations within the latent space. | diff --git a/built-in-nodes/LatentFromBatch.mdx b/built-in-nodes/LatentFromBatch.mdx new file mode 100644 index 000000000..796c546dd --- /dev/null +++ b/built-in-nodes/LatentFromBatch.mdx @@ -0,0 +1,22 @@ +--- +title: "LatentFromBatch - ComfyUI Built-in Node Documentation" +description: "This node is designed to extract a specific subset of latent samples from a given batch based on the specified batch index and length. It allows for selective processing of latent samples, facilita..." +sidebarTitle: "LatentFromBatch" +icon: "circle" +--- + +This node is designed to extract a specific subset of latent samples from a given batch based on the specified batch index and length. It allows for selective processing of latent samples, facilitating operations on smaller segments of the batch for efficiency or targeted manipulation. + +## Inputs + +| Parameter | Data Type | Description | +|---------------|-------------|-------------| +| `samples` | `LATENT` | The collection of latent samples from which a subset will be extracted. This parameter is crucial for determining the source batch of samples to be processed. | +| `batch_index` | `INT` | Specifies the starting index within the batch from which the subset of samples will begin. This parameter enables targeted extraction of samples from specific positions in the batch. | +| `length` | `INT` | Defines the number of samples to be extracted from the specified starting index. This parameter controls the size of the subset to be processed, allowing for flexible manipulation of batch segments. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The extracted subset of latent samples, now available for further processing or analysis. | diff --git a/built-in-nodes/LatentInterpolate.mdx b/built-in-nodes/LatentInterpolate.mdx new file mode 100644 index 000000000..ec074bcb1 --- /dev/null +++ b/built-in-nodes/LatentInterpolate.mdx @@ -0,0 +1,22 @@ +--- +title: "LatentInterpolate - ComfyUI Built-in Node Documentation" +description: "The LatentInterpolate node is designed to perform interpolation between two sets of latent samples based on a specified ratio, blending the characteristics of both sets to produce a new, intermedia..." +sidebarTitle: "LatentInterpolate" +icon: "circle" +--- + +The LatentInterpolate node is designed to perform interpolation between two sets of latent samples based on a specified ratio, blending the characteristics of both sets to produce a new, intermediate set of latent samples. + +## Inputs + +| Parameter | Data Type | Description | +|--------------|-------------|-------------| +| `samples1` | `LATENT` | The first set of latent samples to be interpolated. It serves as the starting point for the interpolation process. | +| `samples2` | `LATENT` | The second set of latent samples to be interpolated. It serves as the endpoint for the interpolation process. | +| `ratio` | `FLOAT` | A floating-point value that determines the weight of each set of samples in the interpolated output. A ratio of 0 produces a copy of the first set, while a ratio of 1 produces a copy of the second set. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The output is a new set of latent samples that represent an interpolated state between the two input sets, based on the specified ratio. | diff --git a/built-in-nodes/LatentMultiply.mdx b/built-in-nodes/LatentMultiply.mdx new file mode 100644 index 000000000..e9ae9a3e9 --- /dev/null +++ b/built-in-nodes/LatentMultiply.mdx @@ -0,0 +1,21 @@ +--- +title: "LatentMultiply - ComfyUI Built-in Node Documentation" +description: "The LatentMultiply node is designed to scale the latent representation of samples by a specified multiplier. This operation allows for the adjustment of the intensity or magnitude of features withi..." +sidebarTitle: "LatentMultiply" +icon: "circle" +--- + +The LatentMultiply node is designed to scale the latent representation of samples by a specified multiplier. This operation allows for the adjustment of the intensity or magnitude of features within the latent space, enabling fine-tuning of generated content or the exploration of variations within a given latent direction. + +## Inputs + +| Parameter | Data Type | Description | +|--------------|-------------|-------------| +| `samples` | `LATENT` | The 'samples' parameter represents the latent representations to be scaled. It is crucial for defining the input data on which the multiplication operation will be performed. | +| `multiplier` | `FLOAT` | The 'multiplier' parameter specifies the scaling factor to be applied to the latent samples. It plays a key role in adjusting the magnitude of the latent features, allowing for nuanced control over the generated output. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The output is a modified version of the input latent samples, scaled by the specified multiplier. This allows for the exploration of variations within the latent space by adjusting the intensity of its features. | diff --git a/built-in-nodes/LatentOperationSharpen.mdx b/built-in-nodes/LatentOperationSharpen.mdx new file mode 100644 index 000000000..30bce1b24 --- /dev/null +++ b/built-in-nodes/LatentOperationSharpen.mdx @@ -0,0 +1,23 @@ +--- +title: "LatentOperationSharpen - ComfyUI Built-in Node Documentation" +description: "The LatentOperationSharpen node applies a sharpening effect to latent representations using a Gaussian kernel. It works by normalizing the latent data, applying a convolution with a custom sharpeni..." +sidebarTitle: "LatentOperationSharpen" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationSharpen/en.md) + +The LatentOperationSharpen node applies a sharpening effect to latent representations using a Gaussian kernel. It works by normalizing the latent data, applying a convolution with a custom sharpening kernel, and then restoring the original luminance. This enhances the details and edges in the latent space representation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `sharpen_radius` | INT | No | 1-31 | The radius of the sharpening kernel (default: 9) | +| `sigma` | FLOAT | No | 0.1-10.0 | The standard deviation for the Gaussian kernel (default: 1.0) | +| `alpha` | FLOAT | No | 0.0-5.0 | The sharpening intensity factor (default: 0.1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `operation` | LATENT_OPERATION | Returns a sharpening operation that can be applied to latent data | diff --git a/built-in-nodes/LatentOperationTonemapReinhard.mdx b/built-in-nodes/LatentOperationTonemapReinhard.mdx new file mode 100644 index 000000000..445a1fadc --- /dev/null +++ b/built-in-nodes/LatentOperationTonemapReinhard.mdx @@ -0,0 +1,21 @@ +--- +title: "LatentOperationTonemapReinhard - ComfyUI Built-in Node Documentation" +description: "The LatentOperationTonemapReinhard node applies Reinhard tonemapping to latent vectors. This technique normalizes the latent vectors and adjusts their magnitude using a statistical approach based o..." +sidebarTitle: "LatentOperationTonemapReinhard" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/en.md) + +The LatentOperationTonemapReinhard node applies Reinhard tonemapping to latent vectors. This technique normalizes the latent vectors and adjusts their magnitude using a statistical approach based on mean and standard deviation, with the intensity controlled by a multiplier parameter. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `multiplier` | FLOAT | No | 0.0 to 100.0 | Controls the intensity of the tonemapping effect (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `operation` | LATENT_OPERATION | Returns a tonemapping operation that can be applied to latent vectors | diff --git a/built-in-nodes/LatentRotate.mdx b/built-in-nodes/LatentRotate.mdx new file mode 100644 index 000000000..5f6869164 --- /dev/null +++ b/built-in-nodes/LatentRotate.mdx @@ -0,0 +1,21 @@ +--- +title: "LatentRotate - ComfyUI Built-in Node Documentation" +description: "The LatentRotate node is designed to rotate latent representations of images by specified angles. It abstracts the complexity of manipulating latent space to achieve rotation effects, enabling user..." +sidebarTitle: "LatentRotate" +icon: "circle" +--- + +The LatentRotate node is designed to rotate latent representations of images by specified angles. It abstracts the complexity of manipulating latent space to achieve rotation effects, enabling users to easily transform images in a generative model's latent space. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `samples` | `LATENT` | The 'samples' parameter represents the latent representations of images to be rotated. It is crucial for determining the starting point of the rotation operation. | +| `rotation` | COMBO[STRING] | The 'rotation' parameter specifies the angle by which the latent images should be rotated. It directly influences the orientation of the resulting images. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The output is a modified version of the input latent representations, rotated by the specified angle. | diff --git a/built-in-nodes/LatentSubtract.mdx b/built-in-nodes/LatentSubtract.mdx new file mode 100644 index 000000000..10a281af0 --- /dev/null +++ b/built-in-nodes/LatentSubtract.mdx @@ -0,0 +1,21 @@ +--- +title: "LatentSubtract - ComfyUI Built-in Node Documentation" +description: "The LatentSubtract node is designed for subtracting one latent representation from another. This operation can be used to manipulate or modify the characteristics of generative models' outputs by e..." +sidebarTitle: "LatentSubtract" +icon: "circle" +--- + +The LatentSubtract node is designed for subtracting one latent representation from another. This operation can be used to manipulate or modify the characteristics of generative models' outputs by effectively removing features or attributes represented in one latent space from another. + +## Inputs + +| Parameter | Data Type | Description | +|--------------|-------------|-------------| +| `samples1` | `LATENT` | The first set of latent samples to be subtracted from. It serves as the base for the subtraction operation. | +| `samples2` | `LATENT` | The second set of latent samples that will be subtracted from the first set. This operation can alter the resulting generative model's output by removing attributes or features. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The result of subtracting the second set of latent samples from the first. This modified latent representation can be used for further generative tasks. | diff --git a/built-in-nodes/LatentUpscale.mdx b/built-in-nodes/LatentUpscale.mdx new file mode 100644 index 000000000..c697f8288 --- /dev/null +++ b/built-in-nodes/LatentUpscale.mdx @@ -0,0 +1,24 @@ +--- +title: "LatentUpscale - ComfyUI Built-in Node Documentation" +description: "The LatentUpscale node is designed for upscaling latent representations of images. It allows for the adjustment of the output image's dimensions and the method of upscaling, providing flexibility i..." +sidebarTitle: "LatentUpscale" +icon: "circle" +--- + +The LatentUpscale node is designed for upscaling latent representations of images. It allows for the adjustment of the output image's dimensions and the method of upscaling, providing flexibility in enhancing the resolution of latent images. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `samples` | `LATENT` | The latent representation of an image to be upscaled. This parameter is crucial for determining the starting point of the upscaling process. | +| `upscale_method` | COMBO[STRING] | Specifies the method used for upscaling the latent image. Different methods can affect the quality and characteristics of the upscaled image. | +| `width` | `INT` | The desired width of the upscaled image. If set to 0, it will be calculated based on the height to maintain the aspect ratio. | +| `height` | `INT` | The desired height of the upscaled image. If set to 0, it will be calculated based on the width to maintain the aspect ratio. | +| `crop` | COMBO[STRING] | Determines how the upscaled image should be cropped, affecting the final appearance and dimensions of the output. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The upscaled latent representation of the image, ready for further processing or generation. | diff --git a/built-in-nodes/LatentUpscaleBy.mdx b/built-in-nodes/LatentUpscaleBy.mdx new file mode 100644 index 000000000..4cd312324 --- /dev/null +++ b/built-in-nodes/LatentUpscaleBy.mdx @@ -0,0 +1,22 @@ +--- +title: "LatentUpscaleBy - ComfyUI Built-in Node Documentation" +description: "The LatentUpscaleBy node is designed for upscaling latent representations of images. It allows for the adjustment of the scale factor and the method of upscaling, providing flexibility in enhancing..." +sidebarTitle: "LatentUpscaleBy" +icon: "circle" +--- + +The LatentUpscaleBy node is designed for upscaling latent representations of images. It allows for the adjustment of the scale factor and the method of upscaling, providing flexibility in enhancing the resolution of latent samples. + +## Inputs + +| Parameter | Data Type | Description | +|---------------|--------------|-------------| +| `samples` | `LATENT` | The latent representation of images to be upscaled. This parameter is crucial for determining the input data that will undergo the upscaling process. | +| `upscale_method` | COMBO[STRING] | Specifies the method used for upscaling the latent samples. The choice of method can significantly affect the quality and characteristics of the upscaled output. | +| `scale_by` | `FLOAT` | Determines the factor by which the latent samples are scaled. This parameter directly influences the resolution of the output, allowing for precise control over the upscaling process. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The upscaled latent representation, ready for further processing or generation tasks. This output is essential for enhancing the resolution of generated images or for subsequent model operations. | diff --git a/built-in-nodes/LatentUpscaleModelLoader.mdx b/built-in-nodes/LatentUpscaleModelLoader.mdx new file mode 100644 index 000000000..736e7c846 --- /dev/null +++ b/built-in-nodes/LatentUpscaleModelLoader.mdx @@ -0,0 +1,21 @@ +--- +title: "LatentUpscaleModelLoader - ComfyUI Built-in Node Documentation" +description: "The LatentUpscaleModelLoader node loads a specialized model designed for upscaling latent representations. It reads a model file from the system's designated folder and automatically detects its ty..." +sidebarTitle: "LatentUpscaleModelLoader" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/en.md) + +The LatentUpscaleModelLoader node loads a specialized model designed for upscaling latent representations. It reads a model file from the system's designated folder and automatically detects its type (720p, 1080p, or other) to instantiate and configure the correct internal model architecture. The loaded model is then ready to be used by other nodes for latent space super-resolution tasks. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_name` | STRING | Yes | *All files in the `latent_upscale_models` folder* | The name of the latent upscale model file to load. The available options are dynamically populated from the files present in your ComfyUI's `latent_upscale_models` directory. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | LATENT_UPSCALE_MODEL | The loaded latent upscale model, configured and ready for use. | diff --git a/built-in-nodes/LazyCache.mdx b/built-in-nodes/LazyCache.mdx new file mode 100644 index 000000000..469150bc5 --- /dev/null +++ b/built-in-nodes/LazyCache.mdx @@ -0,0 +1,25 @@ +--- +title: "LazyCache - ComfyUI Built-in Node Documentation" +description: "LazyCache is a homebrew version of EasyCache that provides an even easier implementation. It works with any model in ComfyUI and adds caching functionality to reduce computation during sampling. Wh..." +sidebarTitle: "LazyCache" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LazyCache/en.md) + +LazyCache is a homebrew version of EasyCache that provides an even easier implementation. It works with any model in ComfyUI and adds caching functionality to reduce computation during sampling. While it generally performs worse than EasyCache, it can be more effective in some rare cases and offers universal compatibility. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to add LazyCache to. | +| `reuse_threshold` | FLOAT | No | 0.0 - 3.0 | The threshold for reusing cached steps (default: 0.2). | +| `start_percent` | FLOAT | No | 0.0 - 1.0 | The relative sampling step to begin use of LazyCache (default: 0.15). | +| `end_percent` | FLOAT | No | 0.0 - 1.0 | The relative sampling step to end use of LazyCache (default: 0.95). | +| `verbose` | BOOLEAN | No | - | Whether to log verbose information (default: False). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The model with LazyCache functionality added. | diff --git a/built-in-nodes/Load3D.mdx b/built-in-nodes/Load3D.mdx index 8668aefd4..94c349c92 100644 --- a/built-in-nodes/Load3D.mdx +++ b/built-in-nodes/Load3D.mdx @@ -1,10 +1,9 @@ --- title: "Load3D - ComfyUI Built-in Node Documentation" -description: "The Load3D node is a core node in ComfyUI for loading and previewing various 3D model files, supporting multi-format import and rich three-dimensional view operations." +description: "The Load3D node is a core node for loading and processing 3D model files. When loading the node, it automatically retrieves available 3D resources from `ComfyUI/input/3d/`. You can also upload supp..." sidebarTitle: "Load3D" icon: "circle" --- - The Load3D node is a core node for loading and processing 3D model files. When loading the node, it automatically retrieves available 3D resources from `ComfyUI/input/3d/`. You can also upload supported 3D files for preview using the upload function. **Supported Formats** @@ -13,7 +12,7 @@ Currently, this node supports multiple 3D file formats, including `.gltf`, `.glb **3D Node Preferences** Some related preferences for 3D nodes can be configured in ComfyUI's settings menu. Please refer to the following documentation for corresponding settings: -[Settings Menu - 3D](/interface/settings/3d) +[Settings Menu](https://docs.comfy.org/interface/settings/3d) Besides regular node outputs, Load3D has lots of 3D view-related settings in the canvas menu. @@ -37,12 +36,13 @@ Besides regular node outputs, Load3D has lots of 3D view-related settings in the | camera_info | LOAD3D_CAMERA | Camera information | | recording_video | VIDEO | Recorded video (only when recording exists) | -All corresponding outputs preview -![View Operation Demo](/images/comfy_core/load3d/load3d_outputs.jpg) +All the outputs preview: +![View Operation Demo](/images/built-in-nodes/Load3D/load3d_outputs.webp) ## Canvas Area Description The Load3D node's Canvas area contains numerous view operations, including: + - Preview view settings (grid, background color, preview view) - Camera control: Control FOV, camera type - Global illumination intensity: Adjust lighting intensity @@ -50,7 +50,7 @@ The Load3D node's Canvas area contains numerous view operations, including: - Model export: Supports `GLB`, `OBJ`, `STL` formats - And more -![Load 3D Node UI](/images/comfy_core/load3d/load3d_ui.jpg) +![Load 3D Node UI](/images/built-in-nodes/Load3D/load3d_ui.jpg) 1. Contains multiple menus and hidden menus of the Load 3D node 2. Menu for `resizing preview window` and `canvas video recording` @@ -60,16 +60,13 @@ The Load3D node's Canvas area contains numerous view operations, including: ### 1. View Operations - + View control operations: + - Left-click + drag: Rotate the view - Right-click + drag: Pan the view - Middle wheel scroll or middle-click + drag: Zoom in/out @@ -77,9 +74,10 @@ View control operations: ### 2. Left Menu Functions -![Menu](/images/comfy_core/load3d/menu.jpg) +![Menu](/images/built-in-nodes/Load3D/menu.webp) In the canvas, some settings are hidden in the menu. Click the menu button to expand different menus + - 1. Scene: Contains preview window grid, background color, preview settings - 2. Model: Model rendering mode, texture materials, up direction settings - 3. Camera: Switch between orthographic and perspective views, and set the perspective angle size @@ -88,9 +86,10 @@ In the canvas, some settings are hidden in the menu. Click the menu button to ex #### Scene -![scene menu](/images/comfy_core/load3d/menu_scene.jpg) +![scene menu](/images/built-in-nodes/Load3D/menu_scene.webp) The Scene menu provides some basic scene setting functions + 1. Show/Hide grid 2. Set background color 3. Click to upload a background image @@ -98,43 +97,42 @@ The Scene menu provides some basic scene setting functions #### Model -![Menu_Scene](/images/comfy_core/load3d/menu_model.jpg) +![Menu_Scene](/images/built-in-nodes/Load3D/menu_model.webp) The Model menu provides some model-related functions + 1. **Up direction**: Determine which axis is the up direction for the model 2. **Material mode**: Switch model rendering modes - Original, Normal, Wireframe, Lineart #### Camera -![menu_modelmenu_camera](/images/comfy_core/load3d/menu_camera.jpg) +![menu_modelmenu_camera](/images/built-in-nodes/Load3D/menu_camera.webp) This menu provides switching between orthographic and perspective views, and perspective angle size settings + 1. **Camera**: Quickly switch between orthographic and orthographic views 2. **FOV**: Adjust FOV angle #### Light -![menu_modelmenu_camera](/images/comfy_core/load3d/menu_light.jpg) +![menu_modelmenu_camera](/images/built-in-nodes/Load3D/menu_light.webp) Through this menu, you can quickly adjust the scene's global illumination intensity #### Export -![menu_export](/images/comfy_core/load3d/menu_export.jpg) +![menu_export](/images/built-in-nodes/Load3D/menu_export.webp) This menu provides the ability to quickly convert and export model formats ### 3. Right Menu Functions - + The right menu has two main functions: + 1. **Reset view ratio**: After clicking the button, the view will adjust the canvas rendering area ratio according to the set width and height 2. **Video recording**: Allows you to record current 3D view operations as video, allows import, and can be output as `recording_video` to subsequent nodes diff --git a/built-in-nodes/Load3DAnimation.mdx b/built-in-nodes/Load3DAnimation.mdx new file mode 100644 index 000000000..26cb942bd --- /dev/null +++ b/built-in-nodes/Load3DAnimation.mdx @@ -0,0 +1,141 @@ +--- +title: "Load3DAnimation - ComfyUI Built-in Node Documentation" +description: "The Load3DAnimation node is a core node for loading and processing 3D model files. When loading the node, it automatically retrieves available 3D resources from `ComfyUI/input/3d/`. You can also up..." +sidebarTitle: "Load3DAnimation" +icon: "circle" +--- +The Load3DAnimation node is a core node for loading and processing 3D model files. When loading the node, it automatically retrieves available 3D resources from `ComfyUI/input/3d/`. You can also upload supported 3D files for preview using the upload function. + +> - Most of the functions of this node are the same as the Load 3D node, but this node supports loading models with animations, and you can preview the corresponding animations in the node. +> - The content of this documentation is the same as the Load3D node, because except for animation preview and playback, their capabilities are identical. + +**Supported Formats** +Currently, this node supports multiple 3D file formats, including `.gltf`, `.glb`, `.obj`, `.fbx`, and `.stl`. + +**3D Node Preferences** +Some related preferences for 3D nodes can be configured in ComfyUI's settings menu. Please refer to the following documentation for corresponding settings: + +[Settings Menu](https://docs.comfy.org/interface/settings/3d) + +Besides regular node outputs, Load3D has lots of 3D view-related settings in the canvas menu. + +## Inputs + +| Parameter Name | Type | Description | Default | Range | +|---------------|----------|---------------------------------|---------|--------------| +| model_file | File Selection | 3D model file path, supports upload, defaults to reading model files from `ComfyUI/input/3d/` | - | Supported formats | +| width | INT | Canvas rendering width | 1024 | 1-4096 | +| height | INT | Canvas rendering height | 1024 | 1-4096 | + +## Outputs + +| Parameter Name | Data Type | Description | +|-----------------|----------------|------------------------------------| +| image | IMAGE | Canvas rendered image | +| mask | MASK | Mask containing current model position | +| mesh_path | STRING | Model file path | +| normal | IMAGE | Normal map | +| lineart | IMAGE | Line art image output, corresponding `edge_threshold` can be adjusted in the canvas model menu | +| camera_info | LOAD3D_CAMERA | Camera information | +| recording_video | VIDEO | Recorded video (only when recording exists) | + +All the outputs preview: +![View Operation Demo](/images/built-in-nodes/Load3DAnimation/load3d_outputs.webp) + +## Canvas Area Description + +The Load3D node's Canvas area contains numerous view operations, including: + +- Preview view settings (grid, background color, preview view) +- Camera control: Control FOV, camera type +- Global illumination intensity: Adjust lighting intensity +- Video recording: Record and export videos +- Model export: Supports `GLB`, `OBJ`, `STL` formats +- And more + +![Load 3D Node UI](/images/built-in-nodes/Load3DAnimation/load3d_ui.jpg) + +1. Contains multiple menus and hidden menus of the Load 3D node +2. Menu for `resizing preview window` and `canvas video recording` +3. 3D view operation axis +4. Preview thumbnail +5. Preview size settings, scale preview view display by setting dimensions and then resizing window + +### 1. View Operations + + + +View control operations: + +- Left-click + drag: Rotate the view +- Right-click + drag: Pan the view +- Middle wheel scroll or middle-click + drag: Zoom in/out +- Coordinate axis: Switch views + +### 2. Left Menu Functions + +![Menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) + +In the canvas, some settings are hidden in the menu. Click the menu button to expand different menus + +- 1. Scene: Contains preview window grid, background color, preview settings +- 2. Model: Model rendering mode, texture materials, up direction settings +- 3. Camera: Switch between orthographic and perspective views, and set the perspective angle size +- 4. Light: Scene global illumination intensity +- 5. Export: Export model to other formats (GLB, OBJ, STL) + +#### Scene + +![scene menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) + +The Scene menu provides some basic scene setting functions + +1. Show/Hide grid +2. Set background color +3. Click to upload a background image +4. Hide the preview + +#### Model + +![Menu_Scene](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) + +The Model menu provides some model-related functions + +1. **Up direction**: Determine which axis is the up direction for the model +2. **Material mode**: Switch model rendering modes - Original, Normal, Wireframe, Lineart + +#### Camera + +![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) + +This menu provides switching between orthographic and perspective views, and perspective angle size settings + +1. **Camera**: Quickly switch between orthographic and orthographic views +2. **FOV**: Adjust FOV angle + +#### Light + +![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) + +Through this menu, you can quickly adjust the scene's global illumination intensity + +#### Export + +![menu_export](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) + +This menu provides the ability to quickly convert and export model formats + +### 3. Right Menu Functions + + + +The right menu has two main functions: + +1. **Reset view ratio**: After clicking the button, the view will adjust the canvas rendering area ratio according to the set width and height +2. **Video recording**: Allows you to record current 3D view operations as video, allows import, and can be output as `recording_video` to subsequent nodes diff --git a/built-in-nodes/LoadAudio.mdx b/built-in-nodes/LoadAudio.mdx new file mode 100644 index 000000000..0cc02e953 --- /dev/null +++ b/built-in-nodes/LoadAudio.mdx @@ -0,0 +1,23 @@ +--- +title: "LoadAudio - ComfyUI Built-in Node Documentation" +description: "The LoadAudio node loads audio files from the input directory and converts them into a format that can be processed by other audio nodes in ComfyUI. It reads audio files and extracts both the wavef..." +sidebarTitle: "LoadAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadAudio/en.md) + +The LoadAudio node loads audio files from the input directory and converts them into a format that can be processed by other audio nodes in ComfyUI. It reads audio files and extracts both the waveform data and sample rate, making them available for downstream audio processing tasks. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | All supported audio/video files in input directory | The audio file to load from the input directory | + +**Note:** The node only accepts audio and video files that are present in ComfyUI's input directory. The file must exist and be accessible for successful loading. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `AUDIO` | AUDIO | Audio data containing waveform and sample rate information | diff --git a/built-in-nodes/LoadImage.mdx b/built-in-nodes/LoadImage.mdx new file mode 100644 index 000000000..02ed22c0c --- /dev/null +++ b/built-in-nodes/LoadImage.mdx @@ -0,0 +1,21 @@ +--- +title: "LoadImage - ComfyUI Built-in Node Documentation" +description: "The LoadImage node is designed to load and preprocess images from a specified path. It handles image formats with multiple frames, applies necessary transformations such as rotation based on EXIF d..." +sidebarTitle: "LoadImage" +icon: "circle" +--- + +The LoadImage node is designed to load and preprocess images from a specified path. It handles image formats with multiple frames, applies necessary transformations such as rotation based on EXIF data, normalizes pixel values, and optionally generates a mask for images with an alpha channel. This node is essential for preparing images for further processing or analysis within a pipeline. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|--------------|-------------| +| `image` | COMBO[STRING] | The 'image' parameter specifies the identifier of the image to be loaded and processed. It is crucial for determining the path to the image file and subsequently loading the image for transformation and normalization. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The processed image, with pixel values normalized and transformations applied as necessary. It is ready for further processing or analysis. | +| `mask` | `MASK` | An optional output providing a mask for the image, useful in scenarios where the image includes an alpha channel for transparency. | diff --git a/built-in-nodes/LoadImageDataSetFromFolder.mdx b/built-in-nodes/LoadImageDataSetFromFolder.mdx new file mode 100644 index 000000000..d521735fe --- /dev/null +++ b/built-in-nodes/LoadImageDataSetFromFolder.mdx @@ -0,0 +1,21 @@ +--- +title: "LoadImageDataSetFromFolder - ComfyUI Built-in Node Documentation" +description: "This node loads multiple images from a specified subfolder within ComfyUI's input directory. It scans the chosen folder for common image file types and returns them as a list, making it useful for ..." +sidebarTitle: "LoadImageDataSetFromFolder" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/en.md) + +This node loads multiple images from a specified subfolder within ComfyUI's input directory. It scans the chosen folder for common image file types and returns them as a list, making it useful for batch processing or dataset preparation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `folder` | STRING | Yes | *Multiple options available* | The folder to load images from. The options are the subfolders present in ComfyUI's main input directory. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `images` | IMAGE | List of loaded images. The node loads all valid image files (PNG, JPG, JPEG, WEBP) found in the selected folder. | diff --git a/built-in-nodes/LoadImageMask.mdx b/built-in-nodes/LoadImageMask.mdx new file mode 100644 index 000000000..028c99fa0 --- /dev/null +++ b/built-in-nodes/LoadImageMask.mdx @@ -0,0 +1,21 @@ +--- +title: "LoadImageMask - ComfyUI Built-in Node Documentation" +description: "The LoadImageMask node is designed to load images and their associated masks from a specified path, processing them to ensure compatibility with further image manipulation or analysis tasks. It foc..." +sidebarTitle: "LoadImageMask" +icon: "circle" +--- + +The LoadImageMask node is designed to load images and their associated masks from a specified path, processing them to ensure compatibility with further image manipulation or analysis tasks. It focuses on handling various image formats and conditions, such as presence of an alpha channel for masks, and prepares the images and masks for downstream processing by converting them to a standardized format. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | COMBO[STRING] | The 'image' parameter specifies the image file to be loaded and processed. It plays a crucial role in determining the output by providing the source image for mask extraction and format conversion. | +| `channel` | COMBO[STRING] | The 'channel' parameter specifies the color channel of the image that will be used to generate the mask. This allows for flexibility in mask creation based on different color channels, enhancing the node's utility in various image processing scenarios. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `mask` | `MASK` | This node outputs the mask generated from the specified image and channel, prepared in a standardized format suitable for further processing in image manipulation tasks. | diff --git a/built-in-nodes/LoadImageOutput.mdx b/built-in-nodes/LoadImageOutput.mdx new file mode 100644 index 000000000..a7efd91c6 --- /dev/null +++ b/built-in-nodes/LoadImageOutput.mdx @@ -0,0 +1,22 @@ +--- +title: "LoadImageOutput - ComfyUI Built-in Node Documentation" +description: "The LoadImageOutput node loads images from the output folder. When you click the refresh button, it updates the list of available images and automatically selects the first one, making it easy to i..." +sidebarTitle: "LoadImageOutput" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageOutput/en.md) + +The LoadImageOutput node loads images from the output folder. When you click the refresh button, it updates the list of available images and automatically selects the first one, making it easy to iterate through your generated images. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | COMBO | Yes | Multiple options available | Load an image from the output folder. Includes an upload option and refresh button to update the image list. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The loaded image from the output folder | +| `mask` | MASK | The mask associated with the loaded image | diff --git a/built-in-nodes/LoadImageSetFromFolderNode.mdx b/built-in-nodes/LoadImageSetFromFolderNode.mdx new file mode 100644 index 000000000..5a94b5c0a --- /dev/null +++ b/built-in-nodes/LoadImageSetFromFolderNode.mdx @@ -0,0 +1,22 @@ +--- +title: "LoadImageSetFromFolderNode - ComfyUI Built-in Node Documentation" +description: "The LoadImageSetFromFolderNode loads multiple images from a specified folder directory for training purposes. It automatically detects common image formats and can optionally resize the images usin..." +sidebarTitle: "LoadImageSetFromFolderNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetFromFolderNode/en.md) + +The LoadImageSetFromFolderNode loads multiple images from a specified folder directory for training purposes. It automatically detects common image formats and can optionally resize the images using different methods before returning them as a batch. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `folder` | STRING | Yes | Multiple options available | The folder to load images from. | +| `resize_method` | STRING | No | "None"
"Stretch"
"Crop"
"Pad" | The method to use for resizing images (default: "None"). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The batch of loaded images as a single tensor. | diff --git a/built-in-nodes/LoadImageSetNode.mdx b/built-in-nodes/LoadImageSetNode.mdx new file mode 100644 index 000000000..81257a62b --- /dev/null +++ b/built-in-nodes/LoadImageSetNode.mdx @@ -0,0 +1,22 @@ +--- +title: "LoadImageSetNode - ComfyUI Built-in Node Documentation" +description: "The LoadImageSetNode loads multiple images from the input directory for batch processing and training purposes. It supports various image formats and can optionally resize the images using differen..." +sidebarTitle: "LoadImageSetNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetNode/en.md) + +The LoadImageSetNode loads multiple images from the input directory for batch processing and training purposes. It supports various image formats and can optionally resize the images using different methods. This node processes all selected images as a batch and returns them as a single tensor. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | Multiple image files | Select multiple images from the input directory. Supports PNG, JPG, JPEG, WEBP, BMP, GIF, JPE, APNG, TIF, and TIFF formats. Allows batch selection of images. | +| `resize_method` | STRING | No | "None"
"Stretch"
"Crop"
"Pad" | Optional method to resize loaded images (default: "None"). Choose "None" to keep original sizes, "Stretch" to force resize, "Crop" to maintain aspect ratio by cropping, or "Pad" to maintain aspect ratio by adding padding. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | A tensor containing all loaded images as a batch for further processing. | diff --git a/built-in-nodes/LoadImageTextDataSetFromFolder.mdx b/built-in-nodes/LoadImageTextDataSetFromFolder.mdx new file mode 100644 index 000000000..52cd2e170 --- /dev/null +++ b/built-in-nodes/LoadImageTextDataSetFromFolder.mdx @@ -0,0 +1,24 @@ +--- +title: "LoadImageTextDataSetFromFolder - ComfyUI Built-in Node Documentation" +description: "This node loads a dataset of images and their corresponding text captions from a specified folder. It searches for image files and automatically looks for matching `.txt` files with the same base n..." +sidebarTitle: "LoadImageTextDataSetFromFolder" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/en.md) + +This node loads a dataset of images and their corresponding text captions from a specified folder. It searches for image files and automatically looks for matching `.txt` files with the same base name to use as captions. The node also supports a specific folder structure where subfolders can be named with a number prefix (like `10_folder_name`) to indicate that the images inside should be repeated multiple times in the output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `folder` | COMBO | Yes | *Dynamically loaded from `folder_paths.get_input_subfolders()`* | The folder to load images from. The available options are the subdirectories within ComfyUI's input directory. | + +**Note:** The node expects a specific file structure. For each image file (`.png`, `.jpg`, `.jpeg`, `.webp`), it will look for a `.txt` file with the same name to use as a caption. If a caption file is not found, an empty string is used. The node also supports a special structure where a subfolder's name begins with a number and an underscore (e.g., `5_cats`), which will cause all images inside that subfolder to be repeated that number of times in the final output list. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `images` | IMAGE | A list of loaded image tensors. | +| `texts` | STRING | A list of text captions corresponding to each loaded image. | diff --git a/built-in-nodes/LoadImageTextSetFromFolderNode.mdx b/built-in-nodes/LoadImageTextSetFromFolderNode.mdx new file mode 100644 index 000000000..cbe464415 --- /dev/null +++ b/built-in-nodes/LoadImageTextSetFromFolderNode.mdx @@ -0,0 +1,28 @@ +--- +title: "LoadImageTextSetFromFolderNode - ComfyUI Built-in Node Documentation" +description: "Loads a batch of images and their corresponding text captions from a specified directory for training purposes. The node automatically searches for image files and their associated caption text fil..." +sidebarTitle: "LoadImageTextSetFromFolderNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextSetFromFolderNode/en.md) + +Loads a batch of images and their corresponding text captions from a specified directory for training purposes. The node automatically searches for image files and their associated caption text files, processes the images according to specified resize settings, and encodes the captions using the provided CLIP model. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `folder` | STRING | Yes | - | The folder to load images from. | +| `clip` | CLIP | Yes | - | The CLIP model used for encoding the text. | +| `resize_method` | COMBO | No | "None"
"Stretch"
"Crop"
"Pad" | The method used to resize images (default: "None"). | +| `width` | INT | No | -1 to 10000 | The width to resize the images to. -1 means use the original width (default: -1). | +| `height` | INT | No | -1 to 10000 | The height to resize the images to. -1 means use the original height (default: -1). | + +**Note:** The CLIP input must be valid and cannot be None. If the CLIP model comes from a checkpoint loader node, ensure the checkpoint contains a valid CLIP or text encoder model. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The batch of loaded and processed images. | +| `CONDITIONING` | CONDITIONING | The encoded conditioning data from the text captions. | diff --git a/built-in-nodes/LoadLatent.mdx b/built-in-nodes/LoadLatent.mdx new file mode 100644 index 000000000..6dae03ca8 --- /dev/null +++ b/built-in-nodes/LoadLatent.mdx @@ -0,0 +1,21 @@ +--- +title: "LoadLatent - ComfyUI Built-in Node Documentation" +description: "The LoadLatent node loads previously saved latent representations from .latent files in the input directory. It reads the latent tensor data from the file and applies any necessary scaling adjustme..." +sidebarTitle: "LoadLatent" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadLatent/en.md) + +The LoadLatent node loads previously saved latent representations from .latent files in the input directory. It reads the latent tensor data from the file and applies any necessary scaling adjustments before returning the latent data for use in other nodes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `latent` | STRING | Yes | All .latent files in input directory | Selects which .latent file to load from the available files in the input directory | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `LATENT` | LATENT | Returns the loaded latent representation data from the selected file | diff --git a/built-in-nodes/LoadTrainingDataset.mdx b/built-in-nodes/LoadTrainingDataset.mdx new file mode 100644 index 000000000..f8de8d710 --- /dev/null +++ b/built-in-nodes/LoadTrainingDataset.mdx @@ -0,0 +1,22 @@ +--- +title: "LoadTrainingDataset - ComfyUI Built-in Node Documentation" +description: "This node loads an encoded training dataset that has been previously saved to disk. It searches for and reads all data shard files from a specified folder within the ComfyUI output directory, then ..." +sidebarTitle: "LoadTrainingDataset" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md) + +This node loads an encoded training dataset that has been previously saved to disk. It searches for and reads all data shard files from a specified folder within the ComfyUI output directory, then returns the combined latent vectors and conditioning data for use in training workflows. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `folder_name` | STRING | No | N/A | Name of the folder containing the saved dataset, located inside the ComfyUI output directory (default: "training_dataset"). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `latents` | LATENT | A list of latent dictionaries, where each dictionary contains a `"samples"` key with a tensor. | +| `conditioning` | CONDITIONING | A list of conditioning lists, where each inner list contains conditioning data for a corresponding sample. | diff --git a/built-in-nodes/LoadVideo.mdx b/built-in-nodes/LoadVideo.mdx new file mode 100644 index 000000000..3ab073ede --- /dev/null +++ b/built-in-nodes/LoadVideo.mdx @@ -0,0 +1,23 @@ +--- +title: "LoadVideo - ComfyUI Built-in Node Documentation" +description: "The Load Video node loads video files from the input directory and makes them available for processing in the workflow. It reads video files from the designated input folder and outputs them as vid..." +sidebarTitle: "LoadVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadVideo/en.md) + +The Load Video node loads video files from the input directory and makes them available for processing in the workflow. It reads video files from the designated input folder and outputs them as video data that can be connected to other video processing nodes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `file` | STRING | Yes | Multiple options available | The video file to load from the input directory | + +**Note:** The available options for the `file` parameter are dynamically populated from the video files present in the input directory. Only video files with supported content types are displayed. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The loaded video data that can be passed to other video processing nodes | diff --git a/built-in-nodes/LoraLoader.mdx b/built-in-nodes/LoraLoader.mdx new file mode 100644 index 000000000..5d09aae60 --- /dev/null +++ b/built-in-nodes/LoraLoader.mdx @@ -0,0 +1,33 @@ +--- +title: "LoraLoader - ComfyUI Built-in Node Documentation" +description: "This node automatically detects models located in the LoRA folder (including subfolders) with the corresponding model path being `ComfyUI\\models\\loras`. For more information, please refer to Instal..." +sidebarTitle: "LoraLoader" +icon: "circle" +--- +This node automatically detects models located in the LoRA folder (including subfolders) with the corresponding model path being `ComfyUI\models\loras`. For more information, please refer to Installing LoRA Models + +The LoRA Loader node is primarily used to load LoRA models. You can think of LoRA models as filters that can give your images specific styles, content, and details: + +- Apply specific artistic styles (like ink painting) +- Add characteristics of certain characters (like game characters) +- Add specific details to the image +All of these can be achieved through LoRA. + +If you need to load multiple LoRA models, you can directly chain multiple nodes together, as shown below: + +## Inputs + +| Parameter | Data Type | Description | +| --- | --- | --- | +| `model` | MODEL | Typically used to connect to the base model | +| `clip` | CLIP | Typically used to connect to the CLIP model | +| `lora_name` | COMBO[STRING] | Select the name of the LoRA model to use | +| `strength_model` | FLOAT | Value range from -100.0 to 100.0, typically used between 0~1 for daily image generation. Higher values result in more pronounced model adjustment effects | +| `strength_clip` | FLOAT | Value range from -100.0 to 100.0, typically used between 0~1 for daily image generation. Higher values result in more pronounced model adjustment effects | + +## Outputs + +| Parameter | Data Type | Description | +| --- | --- | --- | +| `model` | MODEL | The model with LoRA adjustments applied | +| `clip` | CLIP | The CLIP instance with LoRA adjustments applied | diff --git a/built-in-nodes/LoraLoaderBypass.mdx b/built-in-nodes/LoraLoaderBypass.mdx new file mode 100644 index 000000000..e910ed396 --- /dev/null +++ b/built-in-nodes/LoraLoaderBypass.mdx @@ -0,0 +1,28 @@ +--- +title: "LoraLoaderBypass - ComfyUI Built-in Node Documentation" +description: "The LoraLoaderBypass node applies a LoRA (Low-Rank Adaptation) to a diffusion model and a CLIP model in a special \"bypass\" mode. Unlike a standard LoRA loader, this method does not permanently modi..." +sidebarTitle: "LoraLoaderBypass" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypass/en.md) + +The LoraLoaderBypass node applies a LoRA (Low-Rank Adaptation) to a diffusion model and a CLIP model in a special "bypass" mode. Unlike a standard LoRA loader, this method does not permanently modify the base model's weights. Instead, it computes the output by adding the LoRA's effect to the model's normal forward pass, which is useful for training or when working with models that have their weights offloaded. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model the LoRA will be applied to. | +| `clip` | CLIP | Yes | - | The CLIP model the LoRA will be applied to. | +| `lora_name` | COMBO | Yes | *List of available LoRA files* | The name of the LoRA file to apply. The options are loaded from the `loras` folder. | +| `strength_model` | FLOAT | Yes | -100.0 to 100.0 | How strongly to modify the diffusion model. This value can be negative (default: 1.0). | +| `strength_clip` | FLOAT | Yes | -100.0 to 100.0 | How strongly to modify the CLIP model. This value can be negative (default: 1.0). | + +**Note:** If both `strength_model` and `strength_clip` are set to 0, the node will return the original, unmodified `model` and `clip` inputs without processing. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MODEL` | MODEL | The diffusion model with the LoRA applied in bypass mode. | +| `CLIP` | CLIP | The CLIP model with the LoRA applied in bypass mode. | diff --git a/built-in-nodes/LoraLoaderBypassModelOnly.mdx b/built-in-nodes/LoraLoaderBypassModelOnly.mdx new file mode 100644 index 000000000..5cf23e8e5 --- /dev/null +++ b/built-in-nodes/LoraLoaderBypassModelOnly.mdx @@ -0,0 +1,23 @@ +--- +title: "LoraLoaderBypassModelOnly - ComfyUI Built-in Node Documentation" +description: "This node applies a LoRA (Low-Rank Adaptation) to a model to modify its behavior, but only affects the model component itself. It loads a specified LoRA file and adjusts the model's weights by a gi..." +sidebarTitle: "LoraLoaderBypassModelOnly" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypassModelOnly/en.md) + +This node applies a LoRA (Low-Rank Adaptation) to a model to modify its behavior, but only affects the model component itself. It loads a specified LoRA file and adjusts the model's weights by a given strength, leaving other components like the CLIP text encoder unchanged. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The base model to which the LoRA adjustments will be applied. | +| `lora_name` | STRING | Yes | (List of available LoRA files) | The name of the LoRA file to load and apply. The options are populated from the files in the `loras` directory. | +| `strength_model` | FLOAT | Yes | -100.0 to 100.0 | The strength of the LoRA's effect on the model's weights. A positive value applies the LoRA, a negative value applies the inverse, and a value of 0 has no effect (default: 1.0). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with the LoRA adjustments applied to its weights. | diff --git a/built-in-nodes/LoraLoaderModelOnly.mdx b/built-in-nodes/LoraLoaderModelOnly.mdx new file mode 100644 index 000000000..6163aa679 --- /dev/null +++ b/built-in-nodes/LoraLoaderModelOnly.mdx @@ -0,0 +1,24 @@ +--- +title: "LoraLoaderModelOnly - ComfyUI Built-in Node Documentation" +description: "This node will detect models located in the `ComfyUI/models/loras` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need ..." +sidebarTitle: "LoraLoaderModelOnly" +icon: "circle" +--- + +This node will detect models located in the `ComfyUI/models/loras` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to **refresh the ComfyUI interface** to allow it to read the model files from the corresponding folder. + +This node specializes in loading a LoRA model without requiring a CLIP model, focusing on enhancing or modifying a given model based on LoRA parameters. It allows for the dynamic adjustment of the model's strength through LoRA parameters, facilitating fine-tuned control over the model's behavior. + +## Inputs + +| Field | Comfy dtype | Description | +|-------------------|-------------------|-----------------------------------------------------------------------------------------------| +| `model` | `MODEL` | The base model for modifications, to which LoRA adjustments will be applied. | +| `lora_name` | `COMBO[STRING]` | The name of the LoRA file to be loaded, specifying the adjustments to apply to the model. | +| `strength_model` | `FLOAT` | Determines the intensity of the LoRA adjustments, with higher values indicating stronger modifications. | + +## Outputs + +| Field | Data Type | Description | +|---------|-------------|--------------------------------------------------------------------------| +| `model` | `MODEL` | The modified model with LoRA adjustments applied, reflecting changes in model behavior or capabilities. | diff --git a/built-in-nodes/LoraModelLoader.mdx b/built-in-nodes/LoraModelLoader.mdx new file mode 100644 index 000000000..c267a5d86 --- /dev/null +++ b/built-in-nodes/LoraModelLoader.mdx @@ -0,0 +1,25 @@ +--- +title: "LoraModelLoader - ComfyUI Built-in Node Documentation" +description: "The LoraModelLoader node applies trained LoRA (Low-Rank Adaptation) weights to a diffusion model. It modifies the base model by loading LoRA weights from a trained LoRA model and adjusting their in..." +sidebarTitle: "LoraModelLoader" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraModelLoader/en.md) + +The LoraModelLoader node applies trained LoRA (Low-Rank Adaptation) weights to a diffusion model. It modifies the base model by loading LoRA weights from a trained LoRA model and adjusting their influence strength. This allows you to customize the behavior of diffusion models without retraining them from scratch. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model the LoRA will be applied to. | +| `lora` | LORA_MODEL | Yes | - | The LoRA model to apply to the diffusion model. | +| `strength_model` | FLOAT | Yes | -100.0 to 100.0 | How strongly to modify the diffusion model. This value can be negative (default: 1.0). | + +**Note:** When `strength_model` is set to 0, the node returns the original model without applying any LoRA modifications. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified diffusion model with LoRA weights applied. | diff --git a/built-in-nodes/LoraSave.mdx b/built-in-nodes/LoraSave.mdx new file mode 100644 index 000000000..11c22d496 --- /dev/null +++ b/built-in-nodes/LoraSave.mdx @@ -0,0 +1,28 @@ +--- +title: "LoraSave - ComfyUI Built-in Node Documentation" +description: "The LoraSave node extracts and saves LoRA (Low-Rank Adaptation) files from model differences. It can process diffusion model differences, text encoder differences, or both, converting them into LoR..." +sidebarTitle: "LoraSave" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraSave/en.md) + +The LoraSave node extracts and saves LoRA (Low-Rank Adaptation) files from model differences. It can process diffusion model differences, text encoder differences, or both, converting them into LoRA format with specified rank and type. The resulting LoRA file is saved to the output directory for later use. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `filename_prefix` | STRING | Yes | - | The prefix for the output filename (default: "loras/ComfyUI_extracted_lora") | +| `rank` | INT | Yes | 1-4096 | The rank value for the LoRA, controlling the size and complexity (default: 8) | +| `lora_type` | COMBO | Yes | Multiple options available | The type of LoRA to create, with various available options | +| `bias_diff` | BOOLEAN | Yes | - | Whether to include bias differences in the LoRA calculation (default: True) | +| `model_diff` | MODEL | No | - | The ModelSubtract output to be converted to a lora | +| `text_encoder_diff` | CLIP | No | - | The CLIPSubtract output to be converted to a lora | + +**Note:** At least one of `model_diff` or `text_encoder_diff` must be provided for the node to function. If both are omitted, the node will produce no output. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| - | - | This node saves a LoRA file to the output directory but does not return any data through the workflow | diff --git a/built-in-nodes/LossGraphNode.mdx b/built-in-nodes/LossGraphNode.mdx new file mode 100644 index 000000000..f5c60f680 --- /dev/null +++ b/built-in-nodes/LossGraphNode.mdx @@ -0,0 +1,24 @@ +--- +title: "LossGraphNode - ComfyUI Built-in Node Documentation" +description: "The LossGraphNode creates a visual graph of training loss values over time and saves it as an image file. It takes loss data from training processes and generates a line chart showing how the loss ..." +sidebarTitle: "LossGraphNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LossGraphNode/en.md) + +The LossGraphNode creates a visual graph of training loss values over time and saves it as an image file. It takes loss data from training processes and generates a line chart showing how the loss changes across training steps. The resulting graph includes axis labels, min/max loss values, and is automatically saved to the temporary output directory with a timestamp. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `loss` | LOSS | Yes | Multiple options available | The loss data containing loss values to plot (default: empty dictionary) | +| `filename_prefix` | STRING | Yes | - | The prefix for the output image filename (default: "loss_graph") | + +**Note:** The `loss` parameter requires a valid loss dictionary containing a "loss" key with loss values. The node automatically scales the loss values to fit the graph dimensions and generates a line plot showing the loss progression over training steps. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `ui.images` | IMAGE | The generated loss graph image saved to the temporary directory | diff --git a/built-in-nodes/LotusConditioning.mdx b/built-in-nodes/LotusConditioning.mdx new file mode 100644 index 000000000..240587311 --- /dev/null +++ b/built-in-nodes/LotusConditioning.mdx @@ -0,0 +1,21 @@ +--- +title: "LotusConditioning - ComfyUI Built-in Node Documentation" +description: "The LotusConditioning node provides pre-computed conditioning embeddings for the Lotus model. It uses a frozen encoder with null conditioning and returns hardcoded prompt embeddings to achieve pari..." +sidebarTitle: "LotusConditioning" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/en.md) + +The LotusConditioning node provides pre-computed conditioning embeddings for the Lotus model. It uses a frozen encoder with null conditioning and returns hardcoded prompt embeddings to achieve parity with the reference implementation without requiring inference or loading large tensor files. This node outputs a fixed conditioning tensor that can be used directly in the generation pipeline. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| *No inputs* | - | - | - | This node does not accept any input parameters. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `conditioning` | CONDITIONING | The pre-computed conditioning embeddings for the Lotus model, containing fixed prompt embeddings and an empty dictionary. | diff --git a/built-in-nodes/LtxvApiImageToVideo.mdx b/built-in-nodes/LtxvApiImageToVideo.mdx new file mode 100644 index 000000000..a7ce73585 --- /dev/null +++ b/built-in-nodes/LtxvApiImageToVideo.mdx @@ -0,0 +1,33 @@ +--- +title: "LtxvApiImageToVideo - ComfyUI Built-in Node Documentation" +description: "The LTXV Image To Video node generates a professional-quality video from a single starting image. It uses an external API to create a video sequence based on your text prompt, allowing you to custo..." +sidebarTitle: "LtxvApiImageToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md) + +The LTXV Image To Video node generates a professional-quality video from a single starting image. It uses an external API to create a video sequence based on your text prompt, allowing you to customize the duration, resolution, and frame rate. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | First frame to be used for the video. | +| `model` | COMBO | Yes | `"LTX-2 (Fast)"`
`"LTX-2 (Quality)"` | The AI model to use for video generation. The "Fast" model is optimized for speed, while the "Quality" model prioritizes visual fidelity. | +| `prompt` | STRING | Yes | - | A text description that guides the content and motion of the generated video. | +| `duration` | COMBO | Yes | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | The length of the video in seconds (default: 8). | +| `resolution` | COMBO | Yes | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | The output resolution of the generated video. | +| `fps` | COMBO | Yes | `25`
`50` | The frames per second for the video (default: 25). | +| `generate_audio` | BOOLEAN | No | - | When true, the generated video will include AI-generated audio matching the scene (default: False). | + +**Important Constraints:** + +* The `image` input must contain exactly one image. +* The `prompt` must be between 1 and 10,000 characters long. +* If you select a `duration` longer than 10 seconds, you must use the **"LTX-2 (Fast)"** model, a **"1920x1080"** resolution, and **25** FPS. This combination is required for longer videos. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The generated video file. | diff --git a/built-in-nodes/LtxvApiTextToVideo.mdx b/built-in-nodes/LtxvApiTextToVideo.mdx new file mode 100644 index 000000000..957d08dc1 --- /dev/null +++ b/built-in-nodes/LtxvApiTextToVideo.mdx @@ -0,0 +1,31 @@ +--- +title: "LtxvApiTextToVideo - ComfyUI Built-in Node Documentation" +description: "The LTXV Text To Video node generates professional-quality videos from a text description. It connects to an external API to create videos with customizable duration, resolution, and frame rate. Yo..." +sidebarTitle: "LtxvApiTextToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md) + +The LTXV Text To Video node generates professional-quality videos from a text description. It connects to an external API to create videos with customizable duration, resolution, and frame rate. You can also choose to have AI-generated audio added to the video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"LTX-2 (Fast)"`
`"LTX-2 (Quality)"`
`"LTX-2 (Turbo)"` | The AI model to use for video generation. The available models are mapped from the source code's `MODELS_MAP`. | +| `prompt` | STRING | Yes | - | The text description that the AI will use to generate the video. This field supports multiple lines of text. | +| `duration` | COMBO | Yes | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | The length of the generated video in seconds (default: 8). | +| `resolution` | COMBO | Yes | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | The pixel dimensions (width x height) of the output video. | +| `fps` | COMBO | Yes | `25`
`50` | The frames per second for the video (default: 25). | +| `generate_audio` | BOOLEAN | No | - | When enabled, the generated video will include AI-generated audio matching the scene (default: False). | + +**Important Constraints:** + +* The `prompt` must be between 1 and 10,000 characters long. +* If you select a `duration` greater than 10 seconds, you must also use the `"LTX-2 (Fast)"` model, a resolution of `"1920x1080"`, and an `fps` of `25`. This combination is required for longer videos. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | diff --git a/built-in-nodes/LumaConceptsNode.mdx b/built-in-nodes/LumaConceptsNode.mdx new file mode 100644 index 000000000..8ea134afb --- /dev/null +++ b/built-in-nodes/LumaConceptsNode.mdx @@ -0,0 +1,27 @@ +--- +title: "LumaConceptsNode - ComfyUI Built-in Node Documentation" +description: "Holds one or more Camera Concepts for use with Luma Text to Video and Luma Image to Video nodes. This node allows you to select up to four camera concepts and optionally combine them with existing ..." +sidebarTitle: "LumaConceptsNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/en.md) + +Holds one or more Camera Concepts for use with Luma Text to Video and Luma Image to Video nodes. This node allows you to select up to four camera concepts and optionally combine them with existing concept chains. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `concept1` | STRING | Yes | Multiple options available
Includes "None" option | First camera concept selection from available Luma concepts | +| `concept2` | STRING | Yes | Multiple options available
Includes "None" option | Second camera concept selection from available Luma concepts | +| `concept3` | STRING | Yes | Multiple options available
Includes "None" option | Third camera concept selection from available Luma concepts | +| `concept4` | STRING | Yes | Multiple options available
Includes "None" option | Fourth camera concept selection from available Luma concepts | +| `luma_concepts` | LUMA_CONCEPTS | No | N/A | Optional Camera Concepts to add to the ones chosen here | + +**Note:** All concept parameters (`concept1` through `concept4`) can be set to "None" if you don't want to use all four concept slots. The node will merge any provided `luma_concepts` with the selected concepts to create a combined concept chain. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `luma_concepts` | LUMA_CONCEPTS | Combined camera concept chain containing all selected concepts | diff --git a/built-in-nodes/LumaImageModifyNode.mdx b/built-in-nodes/LumaImageModifyNode.mdx new file mode 100644 index 000000000..4af798dc2 --- /dev/null +++ b/built-in-nodes/LumaImageModifyNode.mdx @@ -0,0 +1,25 @@ +--- +title: "LumaImageModifyNode - ComfyUI Built-in Node Documentation" +description: "Modifies images synchronously based on prompt and aspect ratio. This node takes an input image and transforms it according to the provided text prompt while maintaining the original image's aspect ..." +sidebarTitle: "LumaImageModifyNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md) + +Modifies images synchronously based on prompt and aspect ratio. This node takes an input image and transforms it according to the provided text prompt while maintaining the original image's aspect ratio. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be modified | +| `prompt` | STRING | Yes | - | Prompt for the image generation (default: "") | +| `image_weight` | FLOAT | No | 0.0-0.98 | Weight of the image; the closer to 1.0, the less the image will be modified (default: 0.1) | +| `model` | MODEL | Yes | Multiple options available | The Luma model to use for image modification | +| `seed` | INT | No | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The modified image generated by the Luma model | diff --git a/built-in-nodes/LumaImageNode.mdx b/built-in-nodes/LumaImageNode.mdx new file mode 100644 index 000000000..f0811b286 --- /dev/null +++ b/built-in-nodes/LumaImageNode.mdx @@ -0,0 +1,35 @@ +--- +title: "LumaImageNode - ComfyUI Built-in Node Documentation" +description: "Generates images synchronously based on prompt and aspect ratio. This node creates images using text descriptions and allows you to control the image dimensions and style through various reference ..." +sidebarTitle: "LumaImageNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode/en.md) + +Generates images synchronously based on prompt and aspect ratio. This node creates images using text descriptions and allows you to control the image dimensions and style through various reference inputs. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string) | +| `model` | COMBO | Yes | Multiple options available | Model selection for image generation | +| `aspect_ratio` | COMBO | Yes | Multiple options available | Aspect ratio for the generated image (default: 16:9 ratio) | +| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | +| `style_image_weight` | FLOAT | No | 0.0 to 1.0 | Weight of style image. Ignored if no style_image provided (default: 1.0) | +| `image_luma_ref` | LUMA_REF | No | - | Luma Reference node connection to influence generation with input images; up to 4 images can be considered | +| `style_image` | IMAGE | No | - | Style reference image; only 1 image will be used | +| `character_image` | IMAGE | No | - | Character reference images; can be a batch of multiple, up to 4 images can be considered | + +**Parameter Constraints:** + +- The `image_luma_ref` parameter can accept up to 4 reference images +- The `character_image` parameter can accept up to 4 character reference images +- The `style_image` parameter accepts only 1 style reference image +- The `style_image_weight` parameter is only used when `style_image` is provided + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The generated image based on the input parameters | diff --git a/built-in-nodes/LumaImageToVideoNode.mdx b/built-in-nodes/LumaImageToVideoNode.mdx new file mode 100644 index 000000000..ee76b50a2 --- /dev/null +++ b/built-in-nodes/LumaImageToVideoNode.mdx @@ -0,0 +1,31 @@ +--- +title: "LumaImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Generates videos synchronously based on prompt, input images, and output_size. This node creates videos using the Luma API by providing text prompts and optional starting/ending images to define th..." +sidebarTitle: "LumaImageToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md) + +Generates videos synchronously based on prompt, input images, and output_size. This node creates videos using the Luma API by providing text prompts and optional starting/ending images to define the video content and structure. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Prompt for the video generation (default: "") | +| `model` | COMBO | Yes | Multiple options available | Selects the video generation model from available Luma models | +| `resolution` | COMBO | Yes | Multiple options available | Output resolution for the generated video (default: 540p) | +| `duration` | COMBO | Yes | Multiple options available | Duration of the generated video | +| `loop` | BOOLEAN | Yes | - | Whether the generated video should loop (default: False) | +| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | +| `first_image` | IMAGE | No | - | First frame of generated video. (optional) | +| `last_image` | IMAGE | No | - | Last frame of generated video. (optional) | +| `luma_concepts` | CUSTOM | No | - | Optional Camera Concepts to dictate camera motion via the Luma Concepts node. (optional) | + +**Note:** At least one of `first_image` or `last_image` must be provided. The node will raise an exception if both are missing. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file | diff --git a/built-in-nodes/LumaReferenceNode.mdx b/built-in-nodes/LumaReferenceNode.mdx new file mode 100644 index 000000000..905150041 --- /dev/null +++ b/built-in-nodes/LumaReferenceNode.mdx @@ -0,0 +1,23 @@ +--- +title: "LumaReferenceNode - ComfyUI Built-in Node Documentation" +description: "This node holds an image and weight value for use with the Luma Generate Image node. It creates a reference chain that can be passed to other Luma nodes to influence image generation. The node can ..." +sidebarTitle: "LumaReferenceNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaReferenceNode/en.md) + +This node holds an image and weight value for use with the Luma Generate Image node. It creates a reference chain that can be passed to other Luma nodes to influence image generation. The node can either start a new reference chain or add to an existing one. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | Image to use as reference. | +| `weight` | FLOAT | Yes | 0.0 - 1.0 | Weight of image reference (default: 1.0). | +| `luma_ref` | LUMA_REF | No | - | Optional existing Luma reference chain to add to. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `luma_ref` | LUMA_REF | The Luma reference chain containing the image and weight. | diff --git a/built-in-nodes/LumaVideoNode.mdx b/built-in-nodes/LumaVideoNode.mdx new file mode 100644 index 000000000..78f5b5f8f --- /dev/null +++ b/built-in-nodes/LumaVideoNode.mdx @@ -0,0 +1,30 @@ +--- +title: "LumaVideoNode - ComfyUI Built-in Node Documentation" +description: "Generates videos synchronously based on prompt and output settings. This node creates video content using text descriptions and various generation parameters, producing the final video output once ..." +sidebarTitle: "LumaVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/en.md) + +Generates videos synchronously based on prompt and output settings. This node creates video content using text descriptions and various generation parameters, producing the final video output once the generation process is complete. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Prompt for the video generation (default: empty string) | +| `model` | COMBO | Yes | Multiple options available | The video generation model to use | +| `aspect_ratio` | COMBO | Yes | Multiple options available | The aspect ratio for the generated video (default: 16:9) | +| `resolution` | COMBO | Yes | Multiple options available | The output resolution for the video (default: 540p) | +| `duration` | COMBO | Yes | Multiple options available | The duration of the generated video | +| `loop` | BOOLEAN | Yes | - | Whether the video should loop (default: False) | +| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | +| `luma_concepts` | CUSTOM | No | - | Optional Camera Concepts to dictate camera motion via the Luma Concepts node | + +**Note:** When using the `ray_1_6` model, the `duration` and `resolution` parameters are automatically set to None and do not affect the generation. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file | diff --git a/built-in-nodes/MagnificImageRelightNode.mdx b/built-in-nodes/MagnificImageRelightNode.mdx new file mode 100644 index 000000000..445753356 --- /dev/null +++ b/built-in-nodes/MagnificImageRelightNode.mdx @@ -0,0 +1,41 @@ +--- +title: "MagnificImageRelightNode - ComfyUI Built-in Node Documentation" +description: "The Magnific Image Relight node adjusts the lighting of an input image. It can apply stylistic lighting based on a text prompt or transfer the lighting characteristics from an optional reference im..." +sidebarTitle: "MagnificImageRelightNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md) + +The Magnific Image Relight node adjusts the lighting of an input image. It can apply stylistic lighting based on a text prompt or transfer the lighting characteristics from an optional reference image. The node offers various controls for fine-tuning the brightness, contrast, and overall mood of the final output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | N/A | The image to relight. Exactly one image is required. Minimum dimensions are 160x160 pixels. Aspect ratio must be between 1:3 and 3:1. | +| `prompt` | STRING | No | N/A | Descriptive guidance for lighting. Supports emphasis notation (1-1.4). Default is an empty string. | +| `light_transfer_strength` | INT | Yes | 0 to 100 | Intensity of light transfer application. Default: 100. | +| `style` | COMBO | Yes | `"standard"`
`"darker_but_realistic"`
`"clean"`
`"smooth"`
`"brighter"`
`"contrasted_n_hdr"`
`"just_composition"` | Stylistic output preference. | +| `interpolate_from_original` | BOOLEAN | Yes | N/A | Restricts generation freedom to match original more closely. Default: False. | +| `change_background` | BOOLEAN | Yes | N/A | Modifies background based on prompt/reference. Default: True. | +| `preserve_details` | BOOLEAN | Yes | N/A | Maintains texture and fine details from original. Default: True. | +| `advanced_settings` | DYNAMICCOMBO | Yes | `"disabled"`
`"enabled"` | Fine-tuning options for advanced lighting control. When set to `"enabled"`, additional parameters become available. | +| `reference_image` | IMAGE | No | N/A | Optional reference image to transfer lighting from. If provided, exactly one image is required. Minimum dimensions are 160x160 pixels. Aspect ratio must be between 1:3 and 3:1. | + +**Note on Advanced Settings:** When `advanced_settings` is set to `"enabled"`, the following nested parameters become active: + +* `whites`: Adjusts the brightest tones in the image. Range: 0 to 100. Default: 50. +* `blacks`: Adjusts the darkest tones in the image. Range: 0 to 100. Default: 50. +* `brightness`: Overall brightness adjustment. Range: 0 to 100. Default: 50. +* `contrast`: Contrast adjustment. Range: 0 to 100. Default: 50. +* `saturation`: Color saturation adjustment. Range: 0 to 100. Default: 50. +* `engine`: Processing engine selection. Options: `"automatic"`, `"balanced"`, `"cool"`, `"real"`, `"illusio"`, `"fairy"`, `"colorful_anime"`, `"hard_transform"`, `"softy"`. +* `transfer_light_a`: The intensity of light transfer. Options: `"automatic"`, `"low"`, `"medium"`, `"normal"`, `"high"`, `"high_on_faces"`. +* `transfer_light_b`: Also modifies light transfer intensity. Can be combined with the previous control for varied effects. Options: `"automatic"`, `"composition"`, `"straight"`, `"smooth_in"`, `"smooth_out"`, `"smooth_both"`, `"reverse_both"`, `"soft_in"`, `"soft_out"`, `"soft_mid"`, `"style_shift"`, `"strong_shift"`. +* `fixed_generation`: Ensures consistent output with the same settings. Default: True. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The relit image. | diff --git a/built-in-nodes/MagnificImageSkinEnhancerNode.mdx b/built-in-nodes/MagnificImageSkinEnhancerNode.mdx new file mode 100644 index 000000000..c36159af3 --- /dev/null +++ b/built-in-nodes/MagnificImageSkinEnhancerNode.mdx @@ -0,0 +1,33 @@ +--- +title: "MagnificImageSkinEnhancerNode - ComfyUI Built-in Node Documentation" +description: "The Magnific Image Skin Enhancer node applies specialized AI processing to portrait images to improve skin appearance. It offers three distinct modes for different enhancement goals: creative for a..." +sidebarTitle: "MagnificImageSkinEnhancerNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md) + +The Magnific Image Skin Enhancer node applies specialized AI processing to portrait images to improve skin appearance. It offers three distinct modes for different enhancement goals: creative for artistic effects, faithful for preserving the original look, and flexible for targeted improvements like lighting or realism. The node uploads the image to an external API for processing and returns the enhanced result. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The portrait image to enhance. | +| `sharpen` | INT | No | 0 to 100 | Sharpening intensity level (default: 0). | +| `smart_grain` | INT | No | 0 to 100 | Smart grain intensity level (default: 2). | +| `mode` | COMBO | Yes | `"creative"`
`"faithful"`
`"flexible"` | The processing mode to use. `"creative"` is for artistic enhancement, `"faithful"` for preserving the original appearance, and `"flexible"` for targeted optimization. | +| `skin_detail` | INT | No | 0 to 100 | Skin detail enhancement level. This input is only available and required when the `mode` is set to `"faithful"` (default: 80). | +| `optimized_for` | COMBO | No | `"enhance_skin"`
`"improve_lighting"`
`"enhance_everything"`
`"transform_to_real"`
`"no_make_up"` | Enhancement optimization target. This input is only available and required when the `mode` is set to `"flexible"`. | + +**Constraints:** + +* The node accepts exactly one input image. +* The input image must have a minimum height and width of 160 pixels. +* The `skin_detail` parameter is only active when `mode` is set to `"faithful"`. +* The `optimized_for` parameter is only active when `mode` is set to `"flexible"`. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The enhanced portrait image. | diff --git a/built-in-nodes/MagnificImageStyleTransferNode.mdx b/built-in-nodes/MagnificImageStyleTransferNode.mdx new file mode 100644 index 000000000..cbe02cd1d --- /dev/null +++ b/built-in-nodes/MagnificImageStyleTransferNode.mdx @@ -0,0 +1,38 @@ +--- +title: "MagnificImageStyleTransferNode - ComfyUI Built-in Node Documentation" +description: "This node applies the visual style from a reference image to your input image. It uses an external AI service to process the images, allowing you to control the strength of the style transfer and t..." +sidebarTitle: "MagnificImageStyleTransferNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md) + +This node applies the visual style from a reference image to your input image. It uses an external AI service to process the images, allowing you to control the strength of the style transfer and the preservation of the original image's structure. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The image to apply style transfer to. | +| `reference_image` | IMAGE | Yes | - | The reference image to extract style from. | +| `prompt` | STRING | No | - | An optional text prompt to guide the style transfer. | +| `style_strength` | INT | No | 0 to 100 | Percentage of style strength (default: 100). | +| `structure_strength` | INT | No | 0 to 100 | Maintains the structure of the original image (default: 50). | +| `flavor` | COMBO | No | "faithful"
"gen_z"
"psychedelia"
"detaily"
"clear"
"donotstyle"
"donotstyle_sharp" | Style transfer flavor. | +| `engine` | COMBO | No | "balanced"
"definio"
"illusio"
"3d_cartoon"
"colorful_anime"
"caricature"
"real"
"super_real"
"softy" | Processing engine selection. | +| `portrait_mode` | COMBO | No | "disabled"
"enabled" | Enable portrait mode for facial enhancements. | +| `portrait_style` | COMBO | No | "standard"
"pop"
"super_pop" | Visual style applied to portrait images. This input is only available when `portrait_mode` is set to "enabled". | +| `portrait_beautifier` | COMBO | No | "none"
"beautify_face"
"beautify_face_max" | Facial beautification intensity on portraits. This input is only available when `portrait_mode` is set to "enabled". | +| `fixed_generation` | BOOLEAN | No | - | When disabled, expect each generation to introduce a degree of randomness, leading to more diverse outcomes (default: True). | + +**Constraints:** + +* Exactly one `image` and one `reference_image` are required. +* Both images must have an aspect ratio between 1:3 and 3:1. +* Both images must have a minimum height and width of 160 pixels. +* The `portrait_style` and `portrait_beautifier` parameters are only active and required when `portrait_mode` is set to "enabled". + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The resulting image after style transfer has been applied. | diff --git a/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx b/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx new file mode 100644 index 000000000..e27356d85 --- /dev/null +++ b/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx @@ -0,0 +1,37 @@ +--- +title: "MagnificImageUpscalerCreativeNode - ComfyUI Built-in Node Documentation" +description: "This node uses the Magnific AI service to upscale and creatively enhance an image. It allows you to guide the enhancement with a text prompt, choose a specific style to optimize for, and control va..." +sidebarTitle: "MagnificImageUpscalerCreativeNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md) + +This node uses the Magnific AI service to upscale and creatively enhance an image. It allows you to guide the enhancement with a text prompt, choose a specific style to optimize for, and control various aspects of the creative process like detail, resemblance to the original, and stylization strength. The node outputs an upscaled image at your chosen factor (2x, 4x, 8x, or 16x), with a maximum output size of 25.3 megapixels. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be upscaled and enhanced. | +| `prompt` | STRING | No | - | A text description to guide the creative enhancement of the image. This is optional (default: empty). | +| `scale_factor` | COMBO | Yes | `"2x"`
`"4x"`
`"8x"`
`"16x"` | The factor by which to upscale the image's dimensions. | +| `optimized_for` | COMBO | Yes | `"standard"`
`"soft_portraits"`
`"hard_portraits"`
`"art_n_illustration"`
`"videogame_assets"`
`"nature_n_landscapes"`
`"films_n_photography"`
`"3d_renders"`
`"science_fiction_n_horror"` | The style or content type to optimize the enhancement process for. | +| `creativity` | INT | No | -10 to 10 | Controls the level of creative interpretation applied to the image (default: 0). | +| `hdr` | INT | No | -10 to 10 | The level of definition and detail (default: 0). | +| `resemblance` | INT | No | -10 to 10 | The level of resemblance to the original image (default: 0). | +| `fractality` | INT | No | -10 to 10 | The strength of the prompt and intricacy per square pixel (default: 0). | +| `engine` | COMBO | Yes | `"automatic"`
`"magnific_illusio"`
`"magnific_sharpy"`
`"magnific_sparkle"` | The specific AI engine to use for processing. | +| `auto_downscale` | BOOLEAN | No | - | When enabled, the node will automatically downscale the input image if the requested upscale would exceed the maximum allowed output size of 25.3 megapixels (default: False). | + +**Constraints:** + +* The input `image` must be exactly one image. +* The input image must have a minimum height and width of 160 pixels. +* The input image's aspect ratio must be between 1:3 and 3:1. +* The final output size (input dimensions multiplied by the `scale_factor`) cannot exceed 25,300,000 pixels. If `auto_downscale` is disabled and this limit would be exceeded, the node will raise an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The creatively enhanced and upscaled output image. | diff --git a/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx b/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx new file mode 100644 index 000000000..3d0376c6b --- /dev/null +++ b/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx @@ -0,0 +1,29 @@ +--- +title: "MagnificImageUpscalerPreciseV2Node - ComfyUI Built-in Node Documentation" +description: "The Magnific Image Upscale (Precise V2) node performs high-fidelity image upscaling with precise control over sharpness, grain, and detail enhancement. It processes images through an external API, ..." +sidebarTitle: "MagnificImageUpscalerPreciseV2Node" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md) + +The Magnific Image Upscale (Precise V2) node performs high-fidelity image upscaling with precise control over sharpness, grain, and detail enhancement. It processes images through an external API, supporting up to a maximum output resolution of 10060×10060 pixels. The node offers different processing styles and can automatically downscale the input if the requested output would exceed the maximum allowed size. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be upscaled. Exactly one image is required. Minimum dimensions are 160x160 pixels. The aspect ratio must be between 1:3 and 3:1. | +| `scale_factor` | STRING | Yes | `"2x"`
`"4x"`
`"8x"`
`"16x"` | The desired upscaling multiplier. | +| `flavor` | STRING | Yes | `"sublime"`
`"photo"`
`"photo_denoiser"` | The processing style. "sublime" is for general use, "photo" is optimized for photographs, and "photo_denoiser" is for noisy photos. | +| `sharpen` | INT | No | 0 to 100 | Controls the intensity of image sharpening to increase edge definition and clarity. Higher values produce a sharper result. Default: 7. | +| `smart_grain` | INT | No | 0 to 100 | Adds intelligent grain or texture enhancement to prevent the upscaled image from looking too smooth or artificial. Default: 7. | +| `ultra_detail` | INT | No | 0 to 100 | Controls the amount of fine detail, textures, and micro-details added during the upscaling process. Default: 30. | +| `auto_downscale` | BOOLEAN | No | - | When enabled, the node will automatically downscale the input image if the calculated output dimensions would exceed the maximum allowed resolution of 10060x10060 pixels. This helps prevent errors but may affect quality. Default: False. | + +**Note:** If `auto_downscale` is disabled and the requested output size (input dimensions × `scale_factor`) exceeds 10060x10060 pixels, the node will raise an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The resulting upscaled image. | diff --git a/built-in-nodes/Mahiro.mdx b/built-in-nodes/Mahiro.mdx new file mode 100644 index 000000000..ae70b3931 --- /dev/null +++ b/built-in-nodes/Mahiro.mdx @@ -0,0 +1,21 @@ +--- +title: "Mahiro - ComfyUI Built-in Node Documentation" +description: "The Mahiro node modifies the guidance function to focus more on the direction of the positive prompt rather than the difference between positive and negative prompts. It creates a patched model tha..." +sidebarTitle: "Mahiro" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Mahiro/en.md) + +The Mahiro node modifies the guidance function to focus more on the direction of the positive prompt rather than the difference between positive and negative prompts. It creates a patched model that applies a custom guidance scaling approach using cosine similarity between normalized conditional and unconditional denoised outputs. This experimental node helps steer the generation more strongly toward the positive prompt's intended direction. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | | The model to be patched with the modified guidance function | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `patched_model` | MODEL | The modified model with the Mahiro guidance function applied | diff --git a/built-in-nodes/MakeTrainingDataset.mdx b/built-in-nodes/MakeTrainingDataset.mdx new file mode 100644 index 000000000..114d5c04c --- /dev/null +++ b/built-in-nodes/MakeTrainingDataset.mdx @@ -0,0 +1,29 @@ +--- +title: "MakeTrainingDataset - ComfyUI Built-in Node Documentation" +description: "This node prepares data for training by encoding images and text. It takes a list of images and a corresponding list of text captions, then uses a VAE model to convert the images into latent repres..." +sidebarTitle: "MakeTrainingDataset" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MakeTrainingDataset/en.md) + +This node prepares data for training by encoding images and text. It takes a list of images and a corresponding list of text captions, then uses a VAE model to convert the images into latent representations and a CLIP model to convert the text into conditioning data. The resulting paired latents and conditioning are output as lists, ready for use in training workflows. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | N/A | List of images to encode. | +| `vae` | VAE | Yes | N/A | VAE model for encoding images to latents. | +| `clip` | CLIP | Yes | N/A | CLIP model for encoding text to conditioning. | +| `texts` | STRING | No | N/A | List of text captions. Can be length n (matching images), 1 (repeated for all), or omitted (uses empty string). | + +**Parameter Constraints:** + +* The number of items in the `texts` list must be 0, 1, or exactly match the number of items in the `images` list. If it is 0, an empty string is used for all images. If it is 1, that single text is repeated for all images. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `latents` | LATENT | List of latent dicts. | +| `conditioning` | CONDITIONING | List of conditioning lists. | diff --git a/built-in-nodes/ManualSigmas.mdx b/built-in-nodes/ManualSigmas.mdx new file mode 100644 index 000000000..f0aeca9d0 --- /dev/null +++ b/built-in-nodes/ManualSigmas.mdx @@ -0,0 +1,21 @@ +--- +title: "ManualSigmas - ComfyUI Built-in Node Documentation" +description: "The ManualSigmas node allows you to manually define a custom sequence of noise levels (sigmas) for the sampling process. You input a list of numbers as a string, and the node converts them into a t..." +sidebarTitle: "ManualSigmas" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ManualSigmas/en.md) + +The ManualSigmas node allows you to manually define a custom sequence of noise levels (sigmas) for the sampling process. You input a list of numbers as a string, and the node converts them into a tensor that can be used by other sampling nodes. This is useful for testing or creating specific noise schedules. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `sigmas` | STRING | Yes | Any comma or space-separated numbers | A string containing the sigma values. The node will extract all numbers from this string. For example, "1, 0.5, 0.1" or "1 0.5 0.1". The default value is "1, 0.5". | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sigmas` | SIGMAS | The tensor containing the sequence of sigma values extracted from the input string. | diff --git a/built-in-nodes/MarkdownNote.mdx b/built-in-nodes/MarkdownNote.mdx new file mode 100644 index 000000000..92013a987 --- /dev/null +++ b/built-in-nodes/MarkdownNote.mdx @@ -0,0 +1,13 @@ +--- +title: "MarkdownNote - ComfyUI Built-in Node Documentation" +description: "Node to add annotations to a workflow. It supports text formatting using Markdown syntax." +sidebarTitle: "MarkdownNote" +icon: "circle" +--- +Node to add annotations to a workflow. It supports text formatting using Markdown syntax. + +## Inputs + +## Outputs + +The node doesn't have outputs. diff --git a/built-in-nodes/MaskComposite.mdx b/built-in-nodes/MaskComposite.mdx new file mode 100644 index 000000000..031542902 --- /dev/null +++ b/built-in-nodes/MaskComposite.mdx @@ -0,0 +1,24 @@ +--- +title: "MaskComposite - ComfyUI Built-in Node Documentation" +description: "This node specializes in combining two mask inputs through a variety of operations such as addition, subtraction, and logical operations, to produce a new, modified mask. It abstractly handles the ..." +sidebarTitle: "MaskComposite" +icon: "circle" +--- + +This node specializes in combining two mask inputs through a variety of operations such as addition, subtraction, and logical operations, to produce a new, modified mask. It abstractly handles the manipulation of mask data to achieve complex masking effects, serving as a crucial component in mask-based image editing and processing workflows. + +## Inputs + +| Parameter | Data Type | Description | +| ------------ | ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------ | +| `destination`| MASK | The primary mask that will be modified based on the operation with the source mask. It plays a central role in the composite operation, acting as the base for modifications. | +| `source` | MASK | The secondary mask that will be used in conjunction with the destination mask to perform the specified operation, influencing the final output mask. | +| `x` | INT | The horizontal offset at which the source mask will be applied to the destination mask, affecting the positioning of the composite result. | +| `y` | INT | The vertical offset at which the source mask will be applied to the destination mask, affecting the positioning of the composite result. | +| `operation` | COMBO[STRING]| Specifies the type of operation to apply between the destination and source masks, such as 'add', 'subtract', or logical operations, determining the nature of the composite effect. | + +## Outputs + +| Parameter | Data Type | Description | +| --------- | ------------ | ---------------------------------------------------------------------------- | +| `mask` | MASK | The resulting mask after applying the specified operation between the destination and source masks, representing the composite outcome. | diff --git a/built-in-nodes/MaskPreview.mdx b/built-in-nodes/MaskPreview.mdx new file mode 100644 index 000000000..0bf343dec --- /dev/null +++ b/built-in-nodes/MaskPreview.mdx @@ -0,0 +1,24 @@ +--- +title: "MaskPreview - ComfyUI Built-in Node Documentation" +description: "The MaskPreview node generates a visual preview of a mask by converting it into a 3-channel image format and saving it as a temporary file. It takes a mask input and reshapes it into a format suita..." +sidebarTitle: "MaskPreview" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskPreview/en.md) + +The MaskPreview node generates a visual preview of a mask by converting it into a 3-channel image format and saving it as a temporary file. It takes a mask input and reshapes it into a format suitable for image display, then saves the result to the temporary directory with a random filename prefix. This allows users to visually inspect mask data during workflow execution. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `mask` | MASK | Yes | - | The mask data to be previewed and converted to image format | +| `filename_prefix` | STRING | No | - | Prefix for the output filename (default: "ComfyUI") | +| `prompt` | PROMPT | No | - | Prompt information for metadata (automatically provided) | +| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Additional PNG information for metadata (automatically provided) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `ui` | DICT | Contains the preview image information and metadata for display | diff --git a/built-in-nodes/MaskToImage.mdx b/built-in-nodes/MaskToImage.mdx new file mode 100644 index 000000000..62ee8d0b2 --- /dev/null +++ b/built-in-nodes/MaskToImage.mdx @@ -0,0 +1,20 @@ +--- +title: "MaskToImage - ComfyUI Built-in Node Documentation" +description: "The `MaskToImage` node is designed to convert a mask into an image format. This transformation allows for the visualization and further processing of masks as images, facilitating a bridge between ..." +sidebarTitle: "MaskToImage" +icon: "circle" +--- + +The `MaskToImage` node is designed to convert a mask into an image format. This transformation allows for the visualization and further processing of masks as images, facilitating a bridge between mask-based operations and image-based applications. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `mask` | `MASK` | The mask input is essential for the conversion process, serving as the source data that will be transformed into an image format. This input dictates the shape and content of the resulting image. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The output is an image representation of the input mask, enabling visual inspection and further image-based manipulations. | diff --git a/built-in-nodes/MergeImageLists.mdx b/built-in-nodes/MergeImageLists.mdx new file mode 100644 index 000000000..d2d58d6ce --- /dev/null +++ b/built-in-nodes/MergeImageLists.mdx @@ -0,0 +1,23 @@ +--- +title: "MergeImageLists - ComfyUI Built-in Node Documentation" +description: "The Merge Image Lists node combines multiple separate lists of images into a single, continuous list. It works by taking all the images from each connected input and appending them together in the ..." +sidebarTitle: "MergeImageLists" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeImageLists/en.md) + +The Merge Image Lists node combines multiple separate lists of images into a single, continuous list. It works by taking all the images from each connected input and appending them together in the order they are received. This is useful for organizing or batching images from different sources for further processing. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | - | A list of images to be merged. This input can accept multiple connections, and each connected list will be concatenated into the final output. | + +**Note:** This node is designed to receive multiple inputs. You can connect several image lists to the single `images` input socket. The node will automatically concatenate all images from all connected lists into one output list. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `images` | IMAGE | The single, merged list containing all images from every connected input list. | diff --git a/built-in-nodes/MergeTextLists.mdx b/built-in-nodes/MergeTextLists.mdx new file mode 100644 index 000000000..a82121392 --- /dev/null +++ b/built-in-nodes/MergeTextLists.mdx @@ -0,0 +1,23 @@ +--- +title: "MergeTextLists - ComfyUI Built-in Node Documentation" +description: "This node merges multiple text lists into a single, combined list. It is designed to receive text inputs as lists and concatenates them together. The node logs the total number of texts in the merg..." +sidebarTitle: "MergeTextLists" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeTextLists/en.md) + +This node merges multiple text lists into a single, combined list. It is designed to receive text inputs as lists and concatenates them together. The node logs the total number of texts in the merged list. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `texts` | STRING | Yes | N/A | The text lists to be merged. Multiple lists can be connected to the input, and they will be concatenated into one. | + +**Note:** This node is configured as a group process (`is_group_process = True`), meaning it automatically handles multiple list inputs by concatenating them before the main processing function runs. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `texts` | STRING | The single, merged list containing all the input texts. | diff --git a/built-in-nodes/MeshyAnimateModelNode.mdx b/built-in-nodes/MeshyAnimateModelNode.mdx new file mode 100644 index 000000000..4b5c2389a --- /dev/null +++ b/built-in-nodes/MeshyAnimateModelNode.mdx @@ -0,0 +1,24 @@ +--- +title: "MeshyAnimateModelNode - ComfyUI Built-in Node Documentation" +description: "This node applies a specific animation to a 3D character model that has already been rigged using the Meshy service. It takes a task ID from a previous rigging operation and an action ID to select ..." +sidebarTitle: "MeshyAnimateModelNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md) + +This node applies a specific animation to a 3D character model that has already been rigged using the Meshy service. It takes a task ID from a previous rigging operation and an action ID to select the desired animation from the library. The node then processes the request and returns the animated model in both GLB and FBX file formats. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `rig_task_id` | STRING | Yes | N/A | The unique task ID from a previously completed Meshy character rigging operation. | +| `action_id` | INT | Yes | 0 to 696 | The ID number of the animation action to apply. Visit [https://docs.meshy.ai/en/api/animation-library](https://docs.meshy.ai/en/api/animation-library) for a list of available values. (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | A string identifier for the animated model. This output is provided for backward compatibility only. | +| `GLB` | FILE3DGLB | The animated 3D model file in GLB format. | +| `FBX` | FILE3DFBX | The animated 3D model file in FBX format. | diff --git a/built-in-nodes/MeshyImageToModelNode.mdx b/built-in-nodes/MeshyImageToModelNode.mdx new file mode 100644 index 000000000..95d5e0cb3 --- /dev/null +++ b/built-in-nodes/MeshyImageToModelNode.mdx @@ -0,0 +1,41 @@ +--- +title: "MeshyImageToModelNode - ComfyUI Built-in Node Documentation" +description: "The Meshy: Image to Model node uses the Meshy API to generate a 3D model from a single input image. It uploads your image, submits a processing task, and returns the generated 3D model files (GLB a..." +sidebarTitle: "MeshyImageToModelNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md) + +The Meshy: Image to Model node uses the Meshy API to generate a 3D model from a single input image. It uploads your image, submits a processing task, and returns the generated 3D model files (GLB and FBX) along with the task ID for reference. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"latest"` | Specifies the AI model version to use for generation. | +| `image` | IMAGE | Yes | - | The input image to convert into a 3D model. | +| `should_remesh` | DYNAMIC COMBO | Yes | `"true"`
`"false"` | Determines if the generated mesh should be processed. When set to `"false"`, the node returns an unprocessed triangular mesh. | +| `topology` | COMBO | No* | `"triangle"`
`"quad"` | The target polygon topology for the remeshed model. This input is only available and required when `should_remesh` is set to `"true"`. | +| `target_polycount` | INT | No* | 100 - 300000 | The target number of polygons for the remeshed model. This input is only available and required when `should_remesh` is set to `"true"`. The default value is 300000. | +| `symmetry_mode` | COMBO | Yes | `"auto"`
`"on"`
`"off"` | Controls the symmetry applied to the generated 3D model. | +| `should_texture` | DYNAMIC COMBO | Yes | `"true"`
`"false"` | Determines whether textures are generated for the model. Setting it to `"false"` skips the texture phase and returns a mesh without textures. | +| `enable_pbr` | BOOLEAN | No* | - | When `should_texture` is `"true"`, this option generates PBR maps (metallic, roughness, normal) in addition to the base color. The default value is `False`. | +| `texture_prompt` | STRING | No* | - | A text prompt to guide the texturing process (maximum 600 characters). This input is only available when `should_texture` is `"true"`. It cannot be used at the same time as `texture_image`. | +| `texture_image` | IMAGE | No* | - | An image to guide the texturing process. This input is only available when `should_texture` is `"true"`. It cannot be used at the same time as `texture_prompt`. | +| `pose_mode` | COMBO | Yes | `""`
`"A-pose"`
`"T-pose"` | Specifies the pose mode for the generated model. | +| `seed` | INT | Yes | 0 - 2147483647 | A seed value for the generation process. The results are non-deterministic regardless of the seed value. The default value is 0. | + +**Note on Parameter Constraints:** + +* The `topology` and `target_polycount` inputs are only required when `should_remesh` is set to `"true"`. +* The `enable_pbr`, `texture_prompt`, and `texture_image` inputs are only available when `should_texture` is set to `"true"`. +* You cannot use `texture_prompt` and `texture_image` at the same time. If both are provided when `should_texture` is `"true"`, the node will raise an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The filename of the generated GLB model. (Maintained for backward compatibility). | +| `meshy_task_id` | MESHY_TASK_ID | The unique identifier for the Meshy API task, which can be used for reference or troubleshooting. | +| `GLB` | FILE3DGLB | The generated 3D model in the GLB file format. | +| `FBX` | FILE3DFBX | The generated 3D model in the FBX file format. | diff --git a/built-in-nodes/MeshyMultiImageToModelNode.mdx b/built-in-nodes/MeshyMultiImageToModelNode.mdx new file mode 100644 index 000000000..b90bf4901 --- /dev/null +++ b/built-in-nodes/MeshyMultiImageToModelNode.mdx @@ -0,0 +1,42 @@ +--- +title: "MeshyMultiImageToModelNode - ComfyUI Built-in Node Documentation" +description: "This node uses the Meshy API to generate a 3D model from multiple input images. It uploads the provided images, submits a processing task, and returns the resulting 3D model files (GLB and FBX) alo..." +sidebarTitle: "MeshyMultiImageToModelNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md) + +This node uses the Meshy API to generate a 3D model from multiple input images. It uploads the provided images, submits a processing task, and returns the resulting 3D model files (GLB and FBX) along with the task ID for reference. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +| :--- | :--- | :--- | :--- | :--- | +| `model` | COMBO | Yes | `"latest"` | Specifies the AI model version to use. | +| `images` | IMAGE | Yes | 2 to 4 images | A set of images used to generate the 3D model. You must provide between 2 and 4 images. | +| `should_remesh` | COMBO | Yes | `"true"`
`"false"` | Determines if the generated mesh should be processed. When set to `"false"`, the node returns an unprocessed triangular mesh. | +| `topology` | COMBO | No | `"triangle"`
`"quad"` | The target polygon type for the remeshed output. This parameter is only available and required when `should_remesh` is set to `"true"`. | +| `target_polycount` | INT | No | 100 to 300000 | The target number of polygons for the remeshed model (default: 300000). This parameter is only available when `should_remesh` is set to `"true"`. | +| `symmetry_mode` | COMBO | Yes | `"auto"`
`"on"`
`"off"` | Controls whether symmetry is applied to the generated model. | +| `should_texture` | COMBO | Yes | `"true"`
`"false"` | Determines whether textures are generated. Setting it to `"false"` skips the texture phase and returns a mesh without textures. | +| `enable_pbr` | BOOLEAN | No | `True` / `False` | When `should_texture` is `"true"`, this option generates PBR Maps (metallic, roughness, normal) in addition to the base color (default: `False`). | +| `texture_prompt` | STRING | No | - | A text prompt to guide the texturing process (maximum 600 characters). Cannot be used at the same time as `texture_image`. This parameter is only available when `should_texture` is set to `"true"`. | +| `texture_image` | IMAGE | No | - | An image to guide the texturing process. Only one of `texture_image` or `texture_prompt` may be used at the same time. This parameter is only available when `should_texture` is set to `"true"`. | +| `pose_mode` | COMBO | Yes | `""`
`"A-pose"`
`"T-pose"` | Specifies the pose mode for the generated model. | +| `seed` | INT | Yes | 0 to 2147483647 | A seed value for the generation process (default: 0). Results are non-deterministic regardless of the seed, but changing the seed can trigger the node to re-run. | + +**Parameter Constraints:** + +* You must provide between 2 and 4 images for the `images` input. +* The `topology` and `target_polycount` parameters are only active when `should_remesh` is set to `"true"`. +* The `enable_pbr`, `texture_prompt`, and `texture_image` parameters are only active when `should_texture` is set to `"true"`. +* You cannot use `texture_prompt` and `texture_image` at the same time; they are mutually exclusive. + +## Outputs + +| Output Name | Data Type | Description | +| :--- | :--- | :--- | +| `model_file` | STRING | The filename of the generated GLB model. This output is provided for backward compatibility. | +| `meshy_task_id` | MESHY_TASK_ID | The unique identifier for the Meshy API task. | +| `GLB` | FILE3DGLB | The generated 3D model in GLB format. | +| `FBX` | FILE3DFBX | The generated 3D model in FBX format. | diff --git a/built-in-nodes/MeshyRefineNode.mdx b/built-in-nodes/MeshyRefineNode.mdx new file mode 100644 index 000000000..2d8d243f5 --- /dev/null +++ b/built-in-nodes/MeshyRefineNode.mdx @@ -0,0 +1,30 @@ +--- +title: "MeshyRefineNode - ComfyUI Built-in Node Documentation" +description: "The Meshy: Refine Draft Model node takes a previously generated 3D draft model and improves its quality, optionally adding textures. It submits a refinement task to the Meshy API and returns the fi..." +sidebarTitle: "MeshyRefineNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRefineNode/en.md) + +The Meshy: Refine Draft Model node takes a previously generated 3D draft model and improves its quality, optionally adding textures. It submits a refinement task to the Meshy API and returns the final 3D model files once processing is complete. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"latest"` | Specifies the AI model to use for refinement. Currently, only the "latest" model is available. | +| `meshy_task_id` | MESHY_TASK_ID | Yes | - | The unique task ID of the draft model you want to refine. | +| `enable_pbr` | BOOLEAN | No | - | Generate PBR Maps (metallic, roughness, normal) in addition to the base color. Note: this should be set to false when using Sculpture style, as Sculpture style generates its own set of PBR maps. (default: `False`) | +| `texture_prompt` | STRING | No | - | Provide a text prompt to guide the texturing process. Maximum 600 characters. Cannot be used at the same time as 'texture_image'. (default: empty string) | +| `texture_image` | IMAGE | No | - | Only one of 'texture_image' or 'texture_prompt' may be used at the same time. (optional) | + +**Note:** The `texture_prompt` and `texture_image` inputs are mutually exclusive. You cannot provide both a text prompt and an image for texturing in the same operation. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The filename of the generated GLB model. (For backward compatibility only) | +| `meshy_task_id` | MESHY_TASK_ID | The unique task ID for the submitted refinement job. | +| `GLB` | FILE3DGLB | The final refined 3D model in GLB format. | +| `FBX` | FILE3DFBX | The final refined 3D model in FBX format. | diff --git a/built-in-nodes/MeshyRigModelNode.mdx b/built-in-nodes/MeshyRigModelNode.mdx new file mode 100644 index 000000000..b0df446d1 --- /dev/null +++ b/built-in-nodes/MeshyRigModelNode.mdx @@ -0,0 +1,28 @@ +--- +title: "MeshyRigModelNode - ComfyUI Built-in Node Documentation" +description: "The Meshy: Rig Model node takes a 3D model task from Meshy and generates a rigged character model. It automatically creates a skeleton for the model, allowing it to be posed and animated. The node ..." +sidebarTitle: "MeshyRigModelNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md) + +The Meshy: Rig Model node takes a 3D model task from Meshy and generates a rigged character model. It automatically creates a skeleton for the model, allowing it to be posed and animated. The node outputs the rigged model in both GLB and FBX file formats. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `meshy_task_id` | STRING | Yes | N/A | The unique task ID from a previous Meshy operation (e.g., text-to-3D or image-to-3D) that generated the model to be rigged. | +| `height_meters` | FLOAT | Yes | 0.1 to 15.0 | The approximate height of the character model in meters. This aids in scaling and rigging accuracy (default: 1.7). | +| `texture_image` | IMAGE | No | N/A | The model's UV-unwrapped base color texture image. | + +**Note:** The auto-rigging process is currently not suitable for untextured meshes, non-humanoid assets, or humanoid assets with unclear limb and body structure. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | A legacy output for backward compatibility, containing the filename of the GLB model. | +| `rig_task_id` | STRING | The unique task ID for this rigging operation, which can be used to reference the result. | +| `GLB` | FILE3DGLB | The rigged 3D character model saved in the GLB file format. | +| `FBX` | FILE3DFBX | The rigged 3D character model saved in the FBX file format. | diff --git a/built-in-nodes/MeshyTextToModelNode.mdx b/built-in-nodes/MeshyTextToModelNode.mdx new file mode 100644 index 000000000..3aa6364c5 --- /dev/null +++ b/built-in-nodes/MeshyTextToModelNode.mdx @@ -0,0 +1,34 @@ +--- +title: "MeshyTextToModelNode - ComfyUI Built-in Node Documentation" +description: "The Meshy: Text to Model node uses the Meshy API to generate a 3D model from a text description. It sends a request to the API with your prompt and settings, then waits for the generation to comple..." +sidebarTitle: "MeshyTextToModelNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md) + +The Meshy: Text to Model node uses the Meshy API to generate a 3D model from a text description. It sends a request to the API with your prompt and settings, then waits for the generation to complete and downloads the resulting model files. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"latest"` | Specifies the AI model version to use. Currently, only the "latest" version is available. | +| `prompt` | STRING | Yes | - | The text description of the 3D model you want to generate. Must be between 1 and 600 characters long. | +| `style` | COMBO | Yes | `"realistic"`
`"sculpture"` | The artistic style for the generated 3D model. | +| `should_remesh` | DYNAMIC COMBO | Yes | `"true"`
`"false"` | Controls whether the generated mesh is processed. When set to "false", the node returns an unprocessed triangular mesh. Selecting "true" reveals additional parameters for topology and polycount. | +| `topology` | COMBO | No* | `"triangle"`
`"quad"` | The target polygon type for the remeshed model. This parameter is only available and required when `should_remesh` is set to "true". | +| `target_polycount` | INT | No* | 100 - 300000 | The target number of polygons for the remeshed model. Default is 300000. This parameter is only available and required when `should_remesh` is set to "true". | +| `symmetry_mode` | COMBO | Yes | `"auto"`
`"on"`
`"off"` | Controls symmetry in the generated model. | +| `pose_mode` | COMBO | Yes | `""`
`"A-pose"`
`"T-pose"` | Specifies the pose mode for the generated model. An empty string means no specific pose is requested. | +| `seed` | INT | Yes | 0 - 2147483647 | A seed value for generation. Setting this controls whether the node should re-run, but results are non-deterministic regardless of the seed value. Default is 0. | + +*Note: The `topology` and `target_polycount` parameters are conditionally required. They only appear and must be set when the `should_remesh` parameter is set to "true". + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The filename of the generated GLB model. This output is provided for backward compatibility. | +| `meshy_task_id` | MESHY_TASK_ID | The unique identifier for the Meshy API task. | +| `GLB` | FILE3DGLB | The generated 3D model file in GLB format. | +| `FBX` | FILE3DFBX | The generated 3D model file in FBX format. | diff --git a/built-in-nodes/MeshyTextureNode.mdx b/built-in-nodes/MeshyTextureNode.mdx new file mode 100644 index 000000000..b0eb5ac62 --- /dev/null +++ b/built-in-nodes/MeshyTextureNode.mdx @@ -0,0 +1,34 @@ +--- +title: "MeshyTextureNode - ComfyUI Built-in Node Documentation" +description: "The Meshy: Texture Node applies AI-generated textures to a 3D model. It takes a task ID from a previous Meshy 3D generation or conversion node and uses either a text description or a reference imag..." +sidebarTitle: "MeshyTextureNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextureNode/en.md) + +The Meshy: Texture Node applies AI-generated textures to a 3D model. It takes a task ID from a previous Meshy 3D generation or conversion node and uses either a text description or a reference image to create new textures for the model. The node outputs the textured model in GLB and FBX file formats. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"latest"` | The AI model version to use for texturing. Currently, only the "latest" version is available. | +| `meshy_task_id` | MESHY_TASK_ID | Yes | - | The unique identifier (task ID) from a previous Meshy 3D generation or conversion task. This provides the base 3D model to be textured. | +| `enable_original_uv` | BOOLEAN | No | - | When enabled (default: `True`), the node uses the original UV layout of the uploaded model, preserving any existing textures. If the model has no original UV, the output quality may be lower. | +| `pbr` | BOOLEAN | No | - | Enables Physically Based Rendering (PBR) material output for the textured model (default: `False`). | +| `text_style_prompt` | STRING | No | - | A text description of the desired texture style for the object. Maximum 600 characters. Cannot be used at the same time as `image_style`. | +| `image_style` | IMAGE | No | - | A 2D reference image to guide the texturing process. Cannot be used at the same time as `text_style_prompt`. | + +**Parameter Constraints:** + +* You must provide either a `text_style_prompt` or an `image_style`, but you cannot provide both at the same time. +* The `text_style_prompt` is limited to a maximum of 600 characters. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The filename of the generated GLB model. This output is provided for backward compatibility. | +| `meshy_task_id` | MODEL_TASK_ID | The unique task identifier for this texturing job, which can be used to reference the result. | +| `GLB` | FILE3DGLB | The textured 3D model saved in the GLB file format. | +| `FBX` | FILE3DFBX | The textured 3D model saved in the FBX file format. | diff --git a/built-in-nodes/MinimaxHailuoVideoNode.mdx b/built-in-nodes/MinimaxHailuoVideoNode.mdx new file mode 100644 index 000000000..c03247c60 --- /dev/null +++ b/built-in-nodes/MinimaxHailuoVideoNode.mdx @@ -0,0 +1,28 @@ +--- +title: "MinimaxHailuoVideoNode - ComfyUI Built-in Node Documentation" +description: "Generates videos from text prompts using the MiniMax Hailuo-02 model. You can optionally provide a starting image as the first frame to create a video that continues from that image." +sidebarTitle: "MinimaxHailuoVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md) + +Generates videos from text prompts using the MiniMax Hailuo-02 model. You can optionally provide a starting image as the first frame to create a video that continues from that image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt_text` | STRING | Yes | - | Text prompt to guide the video generation. | +| `seed` | INT | No | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0). | +| `first_frame_image` | IMAGE | No | - | Optional image to use as the first frame to generate a video. | +| `prompt_optimizer` | BOOLEAN | No | - | Optimize prompt to improve generation quality when needed (default: True). | +| `duration` | COMBO | No | `6`
`10` | The length of the output video in seconds (default: 6). | +| `resolution` | COMBO | No | `"768P"`
`"1080P"` | The dimensions of the video display. 1080p is 1920x1080, 768p is 1366x768 (default: "768P"). | + +**Note:** When using the MiniMax-Hailuo-02 model with 1080P resolution, the duration is limited to 6 seconds. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | diff --git a/built-in-nodes/MinimaxImageToVideoNode.mdx b/built-in-nodes/MinimaxImageToVideoNode.mdx new file mode 100644 index 000000000..32a3cd2d9 --- /dev/null +++ b/built-in-nodes/MinimaxImageToVideoNode.mdx @@ -0,0 +1,24 @@ +--- +title: "MinimaxImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Generates videos synchronously based on an image and prompt, and optional parameters using MiniMax's API. This node takes an input image and text description to create a video sequence, with variou..." +sidebarTitle: "MinimaxImageToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md) + +Generates videos synchronously based on an image and prompt, and optional parameters using MiniMax's API. This node takes an input image and text description to create a video sequence, with various model options and configuration settings available. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | Image to use as first frame of video generation | +| `prompt_text` | STRING | Yes | - | Text prompt to guide the video generation (default: empty string) | +| `model` | COMBO | Yes | "I2V-01-Director"
"I2V-01"
"I2V-01-live" | Model to use for video generation (default: "I2V-01") | +| `seed` | INT | No | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video output | diff --git a/built-in-nodes/MinimaxSubjectToVideoNode.mdx b/built-in-nodes/MinimaxSubjectToVideoNode.mdx new file mode 100644 index 000000000..6834be8c8 --- /dev/null +++ b/built-in-nodes/MinimaxSubjectToVideoNode.mdx @@ -0,0 +1,24 @@ +--- +title: "MinimaxSubjectToVideoNode - ComfyUI Built-in Node Documentation" +description: "Generates videos synchronously based on an image and prompt, and optional parameters using MiniMax's API. This node takes a subject image and text description to create a video using MiniMax's vide..." +sidebarTitle: "MinimaxSubjectToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md) + +Generates videos synchronously based on an image and prompt, and optional parameters using MiniMax's API. This node takes a subject image and text description to create a video using MiniMax's video generation service. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `subject` | IMAGE | Yes | - | Image of subject to reference for video generation | +| `prompt_text` | STRING | Yes | - | Text prompt to guide the video generation (default: empty string) | +| `model` | COMBO | No | "S2V-01"
| Model to use for video generation (default: "S2V-01") | +| `seed` | INT | No | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video based on the input subject image and prompt | diff --git a/built-in-nodes/MinimaxTextToVideoNode.mdx b/built-in-nodes/MinimaxTextToVideoNode.mdx new file mode 100644 index 000000000..e6ecdcddc --- /dev/null +++ b/built-in-nodes/MinimaxTextToVideoNode.mdx @@ -0,0 +1,23 @@ +--- +title: "MinimaxTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Generates videos synchronously based on a prompt, and optional parameters using MiniMax's API. This node creates video content from text descriptions by connecting to MiniMax's text-to-video service." +sidebarTitle: "MinimaxTextToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md) + +Generates videos synchronously based on a prompt, and optional parameters using MiniMax's API. This node creates video content from text descriptions by connecting to MiniMax's text-to-video service. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt_text` | STRING | Yes | - | Text prompt to guide the video generation | +| `model` | COMBO | No | "T2V-01"
"T2V-01-Director" | Model to use for video generation (default: "T2V-01") | +| `seed` | INT | No | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video based on the input prompt | diff --git a/built-in-nodes/ModelComputeDtype.mdx b/built-in-nodes/ModelComputeDtype.mdx new file mode 100644 index 000000000..5237746ba --- /dev/null +++ b/built-in-nodes/ModelComputeDtype.mdx @@ -0,0 +1,22 @@ +--- +title: "ModelComputeDtype - ComfyUI Built-in Node Documentation" +description: "The ModelComputeDtype node allows you to change the computational data type used by a model during inference. It creates a copy of the input model and applies the specified data type setting, which..." +sidebarTitle: "ModelComputeDtype" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelComputeDtype/en.md) + +The ModelComputeDtype node allows you to change the computational data type used by a model during inference. It creates a copy of the input model and applies the specified data type setting, which can help optimize memory usage and performance depending on your hardware capabilities. This is particularly useful for debugging and testing different precision settings. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The input model to modify with a new compute data type | +| `dtype` | STRING | Yes | "default"
"fp32"
"fp16"
"bf16" | The computational data type to apply to the model | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with the new compute data type applied | diff --git a/built-in-nodes/ModelMergeAdd.mdx b/built-in-nodes/ModelMergeAdd.mdx new file mode 100644 index 000000000..115edd928 --- /dev/null +++ b/built-in-nodes/ModelMergeAdd.mdx @@ -0,0 +1,21 @@ +--- +title: "ModelMergeAdd - ComfyUI Built-in Node Documentation" +description: "The ModelMergeAdd node is designed for merging two models by adding key patches from one model to another. This process involves cloning the first model and then applying patches from the second mo..." +sidebarTitle: "ModelMergeAdd" +icon: "circle" +--- + +The ModelMergeAdd node is designed for merging two models by adding key patches from one model to another. This process involves cloning the first model and then applying patches from the second model, allowing for the combination of features or behaviors from both models. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model1` | `MODEL` | The first model to be cloned and to which patches from the second model will be added. It serves as the base model for the merging process. | +| `model2` | `MODEL` | The second model from which key patches are extracted and added to the first model. It contributes additional features or behaviors to the merged model. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model` | MODEL | The result of merging two models by adding key patches from the second model to the first. This merged model combines features or behaviors from both models. | diff --git a/built-in-nodes/ModelMergeAuraflow.mdx b/built-in-nodes/ModelMergeAuraflow.mdx new file mode 100644 index 000000000..f3b97a837 --- /dev/null +++ b/built-in-nodes/ModelMergeAuraflow.mdx @@ -0,0 +1,65 @@ +--- +title: "ModelMergeAuraflow - ComfyUI Built-in Node Documentation" +description: "The ModelMergeAuraflow node allows you to blend two different models together by adjusting specific blending weights for various model components. It provides fine-grained control over how differen..." +sidebarTitle: "ModelMergeAuraflow" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAuraflow/en.md) + +The ModelMergeAuraflow node allows you to blend two different models together by adjusting specific blending weights for various model components. It provides fine-grained control over how different parts of the models are merged, from initial layers to final outputs. This node is particularly useful for creating custom model combinations with precise control over the merging process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | The first model to be merged | +| `model2` | MODEL | Yes | - | The second model to be merged | +| `init_x_linear.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for the initial linear transformation (default: 1.0) | +| `positional_encoding` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for positional encoding components (default: 1.0) | +| `cond_seq_linear.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for conditional sequence linear layers (default: 1.0) | +| `register_tokens` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for token registration components (default: 1.0) | +| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for time embedding components (default: 1.0) | +| `double_layers.0.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for double layer group 0 (default: 1.0) | +| `double_layers.1.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for double layer group 1 (default: 1.0) | +| `double_layers.2.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for double layer group 2 (default: 1.0) | +| `double_layers.3.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for double layer group 3 (default: 1.0) | +| `single_layers.0.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 0 (default: 1.0) | +| `single_layers.1.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 1 (default: 1.0) | +| `single_layers.2.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 2 (default: 1.0) | +| `single_layers.3.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 3 (default: 1.0) | +| `single_layers.4.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 4 (default: 1.0) | +| `single_layers.5.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 5 (default: 1.0) | +| `single_layers.6.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 6 (default: 1.0) | +| `single_layers.7.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 7 (default: 1.0) | +| `single_layers.8.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 8 (default: 1.0) | +| `single_layers.9.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 9 (default: 1.0) | +| `single_layers.10.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 10 (default: 1.0) | +| `single_layers.11.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 11 (default: 1.0) | +| `single_layers.12.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 12 (default: 1.0) | +| `single_layers.13.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 13 (default: 1.0) | +| `single_layers.14.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 14 (default: 1.0) | +| `single_layers.15.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 15 (default: 1.0) | +| `single_layers.16.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 16 (default: 1.0) | +| `single_layers.17.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 17 (default: 1.0) | +| `single_layers.18.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 18 (default: 1.0) | +| `single_layers.19.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 19 (default: 1.0) | +| `single_layers.20.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 20 (default: 1.0) | +| `single_layers.21.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 21 (default: 1.0) | +| `single_layers.22.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 22 (default: 1.0) | +| `single_layers.23.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 23 (default: 1.0) | +| `single_layers.24.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 24 (default: 1.0) | +| `single_layers.25.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 25 (default: 1.0) | +| `single_layers.26.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 26 (default: 1.0) | +| `single_layers.27.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 27 (default: 1.0) | +| `single_layers.28.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 28 (default: 1.0) | +| `single_layers.29.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 29 (default: 1.0) | +| `single_layers.30.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 30 (default: 1.0) | +| `single_layers.31.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for single layer 31 (default: 1.0) | +| `modF.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for modF components (default: 1.0) | +| `final_linear.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for final linear transformation (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The merged model combining features from both input models according to the specified blending weights | diff --git a/built-in-nodes/ModelMergeBlocks.mdx b/built-in-nodes/ModelMergeBlocks.mdx new file mode 100644 index 000000000..b67a90fc1 --- /dev/null +++ b/built-in-nodes/ModelMergeBlocks.mdx @@ -0,0 +1,24 @@ +--- +title: "ModelMergeBlocks - ComfyUI Built-in Node Documentation" +description: "ModelMergeBlocks is designed for advanced model merging operations, allowing for the integration of two models with customizable blending ratios for different parts of the models. This node facilit..." +sidebarTitle: "ModelMergeBlocks" +icon: "circle" +--- + +ModelMergeBlocks is designed for advanced model merging operations, allowing for the integration of two models with customizable blending ratios for different parts of the models. This node facilitates the creation of hybrid models by selectively merging components from two source models based on specified parameters. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model1` | `MODEL` | The first model to be merged. It serves as the base model onto which patches from the second model are applied. | +| `model2` | `MODEL` | The second model from which patches are extracted and applied to the first model, based on the specified blending ratios. | +| `input` | `FLOAT` | Specifies the blending ratio for the input layer of the models. It determines how much of the second model's input layer is merged into the first model. | +| `middle` | `FLOAT` | Defines the blending ratio for the middle layers of the models. This parameter controls the integration level of the models' middle layers. | +| `out` | `FLOAT` | Determines the blending ratio for the output layer of the models. It affects the final output by adjusting the contribution of the second model's output layer. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model` | MODEL | The resulting merged model, which is a hybrid of the two input models with patches applied according to the specified blending ratios. | diff --git a/built-in-nodes/ModelMergeCosmos14B.mdx b/built-in-nodes/ModelMergeCosmos14B.mdx new file mode 100644 index 000000000..09bd26fd1 --- /dev/null +++ b/built-in-nodes/ModelMergeCosmos14B.mdx @@ -0,0 +1,64 @@ +--- +title: "ModelMergeCosmos14B - ComfyUI Built-in Node Documentation" +description: "The ModelMergeCosmos14B node merges two AI models using a block-based approach specifically designed for Cosmos 14B model architecture. It allows you to blend different components of the models by ..." +sidebarTitle: "ModelMergeCosmos14B" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos14B/en.md) + +The ModelMergeCosmos14B node merges two AI models using a block-based approach specifically designed for Cosmos 14B model architecture. It allows you to blend different components of the models by adjusting weight values between 0.0 and 1.0 for each model block and embedding layer. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | First model to merge | +| `model2` | MODEL | Yes | - | Second model to merge | +| `pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Position embedder weight (default: 1.0) | +| `extra_pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Extra position embedder weight (default: 1.0) | +| `x_embedder.` | FLOAT | Yes | 0.0 - 1.0 | X embedder weight (default: 1.0) | +| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | T embedder weight (default: 1.0) | +| `affline_norm.` | FLOAT | Yes | 0.0 - 1.0 | Affine normalization weight (default: 1.0) | +| `blocks.block0.` | FLOAT | Yes | 0.0 - 1.0 | Block 0 weight (default: 1.0) | +| `blocks.block1.` | FLOAT | Yes | 0.0 - 1.0 | Block 1 weight (default: 1.0) | +| `blocks.block2.` | FLOAT | Yes | 0.0 - 1.0 | Block 2 weight (default: 1.0) | +| `blocks.block3.` | FLOAT | Yes | 0.0 - 1.0 | Block 3 weight (default: 1.0) | +| `blocks.block4.` | FLOAT | Yes | 0.0 - 1.0 | Block 4 weight (default: 1.0) | +| `blocks.block5.` | FLOAT | Yes | 0.0 - 1.0 | Block 5 weight (default: 1.0) | +| `blocks.block6.` | FLOAT | Yes | 0.0 - 1.0 | Block 6 weight (default: 1.0) | +| `blocks.block7.` | FLOAT | Yes | 0.0 - 1.0 | Block 7 weight (default: 1.0) | +| `blocks.block8.` | FLOAT | Yes | 0.0 - 1.0 | Block 8 weight (default: 1.0) | +| `blocks.block9.` | FLOAT | Yes | 0.0 - 1.0 | Block 9 weight (default: 1.0) | +| `blocks.block10.` | FLOAT | Yes | 0.0 - 1.0 | Block 10 weight (default: 1.0) | +| `blocks.block11.` | FLOAT | Yes | 0.0 - 1.0 | Block 11 weight (default: 1.0) | +| `blocks.block12.` | FLOAT | Yes | 0.0 - 1.0 | Block 12 weight (default: 1.0) | +| `blocks.block13.` | FLOAT | Yes | 0.0 - 1.0 | Block 13 weight (default: 1.0) | +| `blocks.block14.` | FLOAT | Yes | 0.0 - 1.0 | Block 14 weight (default: 1.0) | +| `blocks.block15.` | FLOAT | Yes | 0.0 - 1.0 | Block 15 weight (default: 1.0) | +| `blocks.block16.` | FLOAT | Yes | 0.0 - 1.0 | Block 16 weight (default: 1.0) | +| `blocks.block17.` | FLOAT | Yes | 0.0 - 1.0 | Block 17 weight (default: 1.0) | +| `blocks.block18.` | FLOAT | Yes | 0.0 - 1.0 | Block 18 weight (default: 1.0) | +| `blocks.block19.` | FLOAT | Yes | 0.0 - 1.0 | Block 19 weight (default: 1.0) | +| `blocks.block20.` | FLOAT | Yes | 0.0 - 1.0 | Block 20 weight (default: 1.0) | +| `blocks.block21.` | FLOAT | Yes | 0.0 - 1.0 | Block 21 weight (default: 1.0) | +| `blocks.block22.` | FLOAT | Yes | 0.0 - 1.0 | Block 22 weight (default: 1.0) | +| `blocks.block23.` | FLOAT | Yes | 0.0 - 1.0 | Block 23 weight (default: 1.0) | +| `blocks.block24.` | FLOAT | Yes | 0.0 - 1.0 | Block 24 weight (default: 1.0) | +| `blocks.block25.` | FLOAT | Yes | 0.0 - 1.0 | Block 25 weight (default: 1.0) | +| `blocks.block26.` | FLOAT | Yes | 0.0 - 1.0 | Block 26 weight (default: 1.0) | +| `blocks.block27.` | FLOAT | Yes | 0.0 - 1.0 | Block 27 weight (default: 1.0) | +| `blocks.block28.` | FLOAT | Yes | 0.0 - 1.0 | Block 28 weight (default: 1.0) | +| `blocks.block29.` | FLOAT | Yes | 0.0 - 1.0 | Block 29 weight (default: 1.0) | +| `blocks.block30.` | FLOAT | Yes | 0.0 - 1.0 | Block 30 weight (default: 1.0) | +| `blocks.block31.` | FLOAT | Yes | 0.0 - 1.0 | Block 31 weight (default: 1.0) | +| `blocks.block32.` | FLOAT | Yes | 0.0 - 1.0 | Block 32 weight (default: 1.0) | +| `blocks.block33.` | FLOAT | Yes | 0.0 - 1.0 | Block 33 weight (default: 1.0) | +| `blocks.block34.` | FLOAT | Yes | 0.0 - 1.0 | Block 34 weight (default: 1.0) | +| `blocks.block35.` | FLOAT | Yes | 0.0 - 1.0 | Block 35 weight (default: 1.0) | +| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Final layer weight (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The merged model combining features from both input models | diff --git a/built-in-nodes/ModelMergeCosmos7B.mdx b/built-in-nodes/ModelMergeCosmos7B.mdx new file mode 100644 index 000000000..d6f866ae6 --- /dev/null +++ b/built-in-nodes/ModelMergeCosmos7B.mdx @@ -0,0 +1,56 @@ +--- +title: "ModelMergeCosmos7B - ComfyUI Built-in Node Documentation" +description: "The ModelMergeCosmos7B node merges two AI models together using weighted blending of specific components. It allows fine-grained control over how different parts of the models are combined by adjus..." +sidebarTitle: "ModelMergeCosmos7B" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos7B/en.md) + +The ModelMergeCosmos7B node merges two AI models together using weighted blending of specific components. It allows fine-grained control over how different parts of the models are combined by adjusting individual weights for position embeddings, transformer blocks, and final layers. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | First model to merge | +| `model2` | MODEL | Yes | - | Second model to merge | +| `pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for position embedder component (default: 1.0) | +| `extra_pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for extra position embedder component (default: 1.0) | +| `x_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for x embedder component (default: 1.0) | +| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for t embedder component (default: 1.0) | +| `affline_norm.` | FLOAT | Yes | 0.0 - 1.0 | Weight for affine normalization component (default: 1.0) | +| `blocks.block0.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 0 (default: 1.0) | +| `blocks.block1.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 1 (default: 1.0) | +| `blocks.block2.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 2 (default: 1.0) | +| `blocks.block3.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 3 (default: 1.0) | +| `blocks.block4.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 4 (default: 1.0) | +| `blocks.block5.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 5 (default: 1.0) | +| `blocks.block6.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 6 (default: 1.0) | +| `blocks.block7.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 7 (default: 1.0) | +| `blocks.block8.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 8 (default: 1.0) | +| `blocks.block9.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 9 (default: 1.0) | +| `blocks.block10.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 10 (default: 1.0) | +| `blocks.block11.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 11 (default: 1.0) | +| `blocks.block12.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 12 (default: 1.0) | +| `blocks.block13.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 13 (default: 1.0) | +| `blocks.block14.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 14 (default: 1.0) | +| `blocks.block15.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 15 (default: 1.0) | +| `blocks.block16.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 16 (default: 1.0) | +| `blocks.block17.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 17 (default: 1.0) | +| `blocks.block18.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 18 (default: 1.0) | +| `blocks.block19.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 19 (default: 1.0) | +| `blocks.block20.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 20 (default: 1.0) | +| `blocks.block21.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 21 (default: 1.0) | +| `blocks.block22.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 22 (default: 1.0) | +| `blocks.block23.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 23 (default: 1.0) | +| `blocks.block24.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 24 (default: 1.0) | +| `blocks.block25.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 25 (default: 1.0) | +| `blocks.block26.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 26 (default: 1.0) | +| `blocks.block27.` | FLOAT | Yes | 0.0 - 1.0 | Weight for transformer block 27 (default: 1.0) | +| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Weight for final layer component (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The merged model combining features from both input models | diff --git a/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx b/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx new file mode 100644 index 000000000..98e054bab --- /dev/null +++ b/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx @@ -0,0 +1,65 @@ +--- +title: "ModelMergeCosmosPredict2_14B - ComfyUI Built-in Node Documentation" +description: "The ModelMergeCosmosPredict2_14B node allows you to merge two AI models by adjusting the influence of different model components. It provides fine-grained control over how much each part of the sec..." +sidebarTitle: "ModelMergeCosmosPredict2_14B" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_14B/en.md) + +The ModelMergeCosmosPredict2_14B node allows you to merge two AI models by adjusting the influence of different model components. It provides fine-grained control over how much each part of the second model contributes to the final merged model, using blending weights for specific model layers and components. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | The base model to merge with | +| `model2` | MODEL | Yes | - | The secondary model to merge into the base model | +| `pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Position embedder blending weight (default: 1.0) | +| `x_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Input embedder blending weight (default: 1.0) | +| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Time embedder blending weight (default: 1.0) | +| `t_embedding_norm.` | FLOAT | Yes | 0.0 - 1.0 | Time embedding normalization blending weight (default: 1.0) | +| `blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Block 0 blending weight (default: 1.0) | +| `blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Block 1 blending weight (default: 1.0) | +| `blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Block 2 blending weight (default: 1.0) | +| `blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Block 3 blending weight (default: 1.0) | +| `blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Block 4 blending weight (default: 1.0) | +| `blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Block 5 blending weight (default: 1.0) | +| `blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Block 6 blending weight (default: 1.0) | +| `blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Block 7 blending weight (default: 1.0) | +| `blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Block 8 blending weight (default: 1.0) | +| `blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Block 9 blending weight (default: 1.0) | +| `blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Block 10 blending weight (default: 1.0) | +| `blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Block 11 blending weight (default: 1.0) | +| `blocks.12.` | FLOAT | Yes | 0.0 - 1.0 | Block 12 blending weight (default: 1.0) | +| `blocks.13.` | FLOAT | Yes | 0.0 - 1.0 | Block 13 blending weight (default: 1.0) | +| `blocks.14.` | FLOAT | Yes | 0.0 - 1.0 | Block 14 blending weight (default: 1.0) | +| `blocks.15.` | FLOAT | Yes | 0.0 - 1.0 | Block 15 blending weight (default: 1.0) | +| `blocks.16.` | FLOAT | Yes | 0.0 - 1.0 | Block 16 blending weight (default: 1.0) | +| `blocks.17.` | FLOAT | Yes | 0.0 - 1.0 | Block 17 blending weight (default: 1.0) | +| `blocks.18.` | FLOAT | Yes | 0.0 - 1.0 | Block 18 blending weight (default: 1.0) | +| `blocks.19.` | FLOAT | Yes | 0.0 - 1.0 | Block 19 blending weight (default: 1.0) | +| `blocks.20.` | FLOAT | Yes | 0.0 - 1.0 | Block 20 blending weight (default: 1.0) | +| `blocks.21.` | FLOAT | Yes | 0.0 - 1.0 | Block 21 blending weight (default: 1.0) | +| `blocks.22.` | FLOAT | Yes | 0.0 - 1.0 | Block 22 blending weight (default: 1.0) | +| `blocks.23.` | FLOAT | Yes | 0.0 - 1.0 | Block 23 blending weight (default: 1.0) | +| `blocks.24.` | FLOAT | Yes | 0.0 - 1.0 | Block 24 blending weight (default: 1.0) | +| `blocks.25.` | FLOAT | Yes | 0.0 - 1.0 | Block 25 blending weight (default: 1.0) | +| `blocks.26.` | FLOAT | Yes | 0.0 - 1.0 | Block 26 blending weight (default: 1.0) | +| `blocks.27.` | FLOAT | Yes | 0.0 - 1.0 | Block 27 blending weight (default: 1.0) | +| `blocks.28.` | FLOAT | Yes | 0.0 - 1.0 | Block 28 blending weight (default: 1.0) | +| `blocks.29.` | FLOAT | Yes | 0.0 - 1.0 | Block 29 blending weight (default: 1.0) | +| `blocks.30.` | FLOAT | Yes | 0.0 - 1.0 | Block 30 blending weight (default: 1.0) | +| `blocks.31.` | FLOAT | Yes | 0.0 - 1.0 | Block 31 blending weight (default: 1.0) | +| `blocks.32.` | FLOAT | Yes | 0.0 - 1.0 | Block 32 blending weight (default: 1.0) | +| `blocks.33.` | FLOAT | Yes | 0.0 - 1.0 | Block 33 blending weight (default: 1.0) | +| `blocks.34.` | FLOAT | Yes | 0.0 - 1.0 | Block 34 blending weight (default: 1.0) | +| `blocks.35.` | FLOAT | Yes | 0.0 - 1.0 | Block 35 blending weight (default: 1.0) | +| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Final layer blending weight (default: 1.0) | + +**Note:** All blending weight parameters accept values between 0.0 and 1.0, where 0.0 means no contribution from model2 and 1.0 means full contribution from model2 for that specific component. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The merged model combining features from both input models | diff --git a/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx b/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx new file mode 100644 index 000000000..f14070a44 --- /dev/null +++ b/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx @@ -0,0 +1,55 @@ +--- +title: "ModelMergeCosmosPredict2_2B - ComfyUI Built-in Node Documentation" +description: "The ModelMergeCosmosPredict2_2B node merges two diffusion models using a block-based approach with fine-grained control over different model components. It allows you to blend specific parts of two..." +sidebarTitle: "ModelMergeCosmosPredict2_2B" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_2B/en.md) + +The ModelMergeCosmosPredict2_2B node merges two diffusion models using a block-based approach with fine-grained control over different model components. It allows you to blend specific parts of two models by adjusting interpolation weights for position embedders, time embedders, transformer blocks, and final layers. This provides precise control over how different architectural components from each model contribute to the final merged result. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | The first model to merge | +| `model2` | MODEL | Yes | - | The second model to merge | +| `pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Position embedder interpolation weight (default: 1.0) | +| `x_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Input embedder interpolation weight (default: 1.0) | +| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Time embedder interpolation weight (default: 1.0) | +| `t_embedding_norm.` | FLOAT | Yes | 0.0 - 1.0 | Time embedding normalization interpolation weight (default: 1.0) | +| `blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 0 interpolation weight (default: 1.0) | +| `blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 1 interpolation weight (default: 1.0) | +| `blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 2 interpolation weight (default: 1.0) | +| `blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 3 interpolation weight (default: 1.0) | +| `blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 4 interpolation weight (default: 1.0) | +| `blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 5 interpolation weight (default: 1.0) | +| `blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 6 interpolation weight (default: 1.0) | +| `blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 7 interpolation weight (default: 1.0) | +| `blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 8 interpolation weight (default: 1.0) | +| `blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 9 interpolation weight (default: 1.0) | +| `blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 10 interpolation weight (default: 1.0) | +| `blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 11 interpolation weight (default: 1.0) | +| `blocks.12.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 12 interpolation weight (default: 1.0) | +| `blocks.13.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 13 interpolation weight (default: 1.0) | +| `blocks.14.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 14 interpolation weight (default: 1.0) | +| `blocks.15.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 15 interpolation weight (default: 1.0) | +| `blocks.16.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 16 interpolation weight (default: 1.0) | +| `blocks.17.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 17 interpolation weight (default: 1.0) | +| `blocks.18.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 18 interpolation weight (default: 1.0) | +| `blocks.19.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 19 interpolation weight (default: 1.0) | +| `blocks.20.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 20 interpolation weight (default: 1.0) | +| `blocks.21.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 21 interpolation weight (default: 1.0) | +| `blocks.22.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 22 interpolation weight (default: 1.0) | +| `blocks.23.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 23 interpolation weight (default: 1.0) | +| `blocks.24.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 24 interpolation weight (default: 1.0) | +| `blocks.25.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 25 interpolation weight (default: 1.0) | +| `blocks.26.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 26 interpolation weight (default: 1.0) | +| `blocks.27.` | FLOAT | Yes | 0.0 - 1.0 | Transformer block 27 interpolation weight (default: 1.0) | +| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Final layer interpolation weight (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The merged model combining features from both input models | diff --git a/built-in-nodes/ModelMergeFlux1.mdx b/built-in-nodes/ModelMergeFlux1.mdx new file mode 100644 index 000000000..0f6e76ae8 --- /dev/null +++ b/built-in-nodes/ModelMergeFlux1.mdx @@ -0,0 +1,85 @@ +--- +title: "ModelMergeFlux1 - ComfyUI Built-in Node Documentation" +description: "The ModelMergeFlux1 node merges two diffusion models by blending their components using weighted interpolation. It allows fine-grained control over how different parts of the models are combined, i..." +sidebarTitle: "ModelMergeFlux1" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeFlux1/en.md) + +The ModelMergeFlux1 node merges two diffusion models by blending their components using weighted interpolation. It allows fine-grained control over how different parts of the models are combined, including image processing blocks, time embedding layers, guidance mechanisms, vector inputs, text encoders, and various transformer blocks. This enables creating hybrid models with customized characteristics from two source models. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | First source model to merge | +| `model2` | MODEL | Yes | - | Second source model to merge | +| `img_in.` | FLOAT | Yes | 0.0 to 1.0 | Image input interpolation weight (default: 1.0) | +| `time_in.` | FLOAT | Yes | 0.0 to 1.0 | Time embedding interpolation weight (default: 1.0) | +| `guidance_in` | FLOAT | Yes | 0.0 to 1.0 | Guidance mechanism interpolation weight (default: 1.0) | +| `vector_in.` | FLOAT | Yes | 0.0 to 1.0 | Vector input interpolation weight (default: 1.0) | +| `txt_in.` | FLOAT | Yes | 0.0 to 1.0 | Text encoder interpolation weight (default: 1.0) | +| `double_blocks.0.` | FLOAT | Yes | 0.0 to 1.0 | Double block 0 interpolation weight (default: 1.0) | +| `double_blocks.1.` | FLOAT | Yes | 0.0 to 1.0 | Double block 1 interpolation weight (default: 1.0) | +| `double_blocks.2.` | FLOAT | Yes | 0.0 to 1.0 | Double block 2 interpolation weight (default: 1.0) | +| `double_blocks.3.` | FLOAT | Yes | 0.0 to 1.0 | Double block 3 interpolation weight (default: 1.0) | +| `double_blocks.4.` | FLOAT | Yes | 0.0 to 1.0 | Double block 4 interpolation weight (default: 1.0) | +| `double_blocks.5.` | FLOAT | Yes | 0.0 to 1.0 | Double block 5 interpolation weight (default: 1.0) | +| `double_blocks.6.` | FLOAT | Yes | 0.0 to 1.0 | Double block 6 interpolation weight (default: 1.0) | +| `double_blocks.7.` | FLOAT | Yes | 0.0 to 1.0 | Double block 7 interpolation weight (default: 1.0) | +| `double_blocks.8.` | FLOAT | Yes | 0.0 to 1.0 | Double block 8 interpolation weight (default: 1.0) | +| `double_blocks.9.` | FLOAT | Yes | 0.0 to 1.0 | Double block 9 interpolation weight (default: 1.0) | +| `double_blocks.10.` | FLOAT | Yes | 0.0 to 1.0 | Double block 10 interpolation weight (default: 1.0) | +| `double_blocks.11.` | FLOAT | Yes | 0.0 to 1.0 | Double block 11 interpolation weight (default: 1.0) | +| `double_blocks.12.` | FLOAT | Yes | 0.0 to 1.0 | Double block 12 interpolation weight (default: 1.0) | +| `double_blocks.13.` | FLOAT | Yes | 0.0 to 1.0 | Double block 13 interpolation weight (default: 1.0) | +| `double_blocks.14.` | FLOAT | Yes | 0.0 to 1.0 | Double block 14 interpolation weight (default: 1.0) | +| `double_blocks.15.` | FLOAT | Yes | 0.0 to 1.0 | Double block 15 interpolation weight (default: 1.0) | +| `double_blocks.16.` | FLOAT | Yes | 0.0 to 1.0 | Double block 16 interpolation weight (default: 1.0) | +| `double_blocks.17.` | FLOAT | Yes | 0.0 to 1.0 | Double block 17 interpolation weight (default: 1.0) | +| `double_blocks.18.` | FLOAT | Yes | 0.0 to 1.0 | Double block 18 interpolation weight (default: 1.0) | +| `single_blocks.0.` | FLOAT | Yes | 0.0 to 1.0 | Single block 0 interpolation weight (default: 1.0) | +| `single_blocks.1.` | FLOAT | Yes | 0.0 to 1.0 | Single block 1 interpolation weight (default: 1.0) | +| `single_blocks.2.` | FLOAT | Yes | 0.0 to 1.0 | Single block 2 interpolation weight (default: 1.0) | +| `single_blocks.3.` | FLOAT | Yes | 0.0 to 1.0 | Single block 3 interpolation weight (default: 1.0) | +| `single_blocks.4.` | FLOAT | Yes | 0.0 to 1.0 | Single block 4 interpolation weight (default: 1.0) | +| `single_blocks.5.` | FLOAT | Yes | 0.0 to 1.0 | Single block 5 interpolation weight (default: 1.0) | +| `single_blocks.6.` | FLOAT | Yes | 0.0 to 1.0 | Single block 6 interpolation weight (default: 1.0) | +| `single_blocks.7.` | FLOAT | Yes | 0.0 to 1.0 | Single block 7 interpolation weight (default: 1.0) | +| `single_blocks.8.` | FLOAT | Yes | 0.0 to 1.0 | Single block 8 interpolation weight (default: 1.0) | +| `single_blocks.9.` | FLOAT | Yes | 0.0 to 1.0 | Single block 9 interpolation weight (default: 1.0) | +| `single_blocks.10.` | FLOAT | Yes | 0.0 to 1.0 | Single block 10 interpolation weight (default: 1.0) | +| `single_blocks.11.` | FLOAT | Yes | 0.0 to 1.0 | Single block 11 interpolation weight (default: 1.0) | +| `single_blocks.12.` | FLOAT | Yes | 0.0 to 1.0 | Single block 12 interpolation weight (default: 1.0) | +| `single_blocks.13.` | FLOAT | Yes | 0.0 to 1.0 | Single block 13 interpolation weight (default: 1.0) | +| `single_blocks.14.` | FLOAT | Yes | 0.0 to 1.0 | Single block 14 interpolation weight (default: 1.0) | +| `single_blocks.15.` | FLOAT | Yes | 0.0 to 1.0 | Single block 15 interpolation weight (default: 1.0) | +| `single_blocks.16.` | FLOAT | Yes | 0.0 to 1.0 | Single block 16 interpolation weight (default: 1.0) | +| `single_blocks.17.` | FLOAT | Yes | 0.0 to 1.0 | Single block 17 interpolation weight (default: 1.0) | +| `single_blocks.18.` | FLOAT | Yes | 0.0 to 1.0 | Single block 18 interpolation weight (default: 1.0) | +| `single_blocks.19.` | FLOAT | Yes | 0.0 to 1.0 | Single block 19 interpolation weight (default: 1.0) | +| `single_blocks.20.` | FLOAT | Yes | 0.0 to 1.0 | Single block 20 interpolation weight (default: 1.0) | +| `single_blocks.21.` | FLOAT | Yes | 0.0 to 1.0 | Single block 21 interpolation weight (default: 1.0) | +| `single_blocks.22.` | FLOAT | Yes | 0.0 to 1.0 | Single block 22 interpolation weight (default: 1.0) | +| `single_blocks.23.` | FLOAT | Yes | 0.0 to 1.0 | Single block 23 interpolation weight (default: 1.0) | +| `single_blocks.24.` | FLOAT | Yes | 0.0 to 1.0 | Single block 24 interpolation weight (default: 1.0) | +| `single_blocks.25.` | FLOAT | Yes | 0.0 to 1.0 | Single block 25 interpolation weight (default: 1.0) | +| `single_blocks.26.` | FLOAT | Yes | 0.0 to 1.0 | Single block 26 interpolation weight (default: 1.0) | +| `single_blocks.27.` | FLOAT | Yes | 0.0 to 1.0 | Single block 27 interpolation weight (default: 1.0) | +| `single_blocks.28.` | FLOAT | Yes | 0.0 to 1.0 | Single block 28 interpolation weight (default: 1.0) | +| `single_blocks.29.` | FLOAT | Yes | 0.0 to 1.0 | Single block 29 interpolation weight (default: 1.0) | +| `single_blocks.30.` | FLOAT | Yes | 0.0 to 1.0 | Single block 30 interpolation weight (default: 1.0) | +| `single_blocks.31.` | FLOAT | Yes | 0.0 to 1.0 | Single block 31 interpolation weight (default: 1.0) | +| `single_blocks.32.` | FLOAT | Yes | 0.0 to 1.0 | Single block 32 interpolation weight (default: 1.0) | +| `single_blocks.33.` | FLOAT | Yes | 0.0 to 1.0 | Single block 33 interpolation weight (default: 1.0) | +| `single_blocks.34.` | FLOAT | Yes | 0.0 to 1.0 | Single block 34 interpolation weight (default: 1.0) | +| `single_blocks.35.` | FLOAT | Yes | 0.0 to 1.0 | Single block 35 interpolation weight (default: 1.0) | +| `single_blocks.36.` | FLOAT | Yes | 0.0 to 1.0 | Single block 36 interpolation weight (default: 1.0) | +| `single_blocks.37.` | FLOAT | Yes | 0.0 to 1.0 | Single block 37 interpolation weight (default: 1.0) | +| `final_layer.` | FLOAT | Yes | 0.0 to 1.0 | Final layer interpolation weight (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The merged model combining characteristics from both input models | diff --git a/built-in-nodes/ModelMergeLTXV.mdx b/built-in-nodes/ModelMergeLTXV.mdx new file mode 100644 index 000000000..26d0a159d --- /dev/null +++ b/built-in-nodes/ModelMergeLTXV.mdx @@ -0,0 +1,55 @@ +--- +title: "ModelMergeLTXV - ComfyUI Built-in Node Documentation" +description: "The ModelMergeLTXV node performs advanced model merging operations specifically designed for LTXV model architectures. It allows you to blend two different models together by adjusting interpolatio..." +sidebarTitle: "ModelMergeLTXV" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeLTXV/en.md) + +The ModelMergeLTXV node performs advanced model merging operations specifically designed for LTXV model architectures. It allows you to blend two different models together by adjusting interpolation weights for various model components including transformer blocks, projection layers, and other specialized modules. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | The first model to merge | +| `model2` | MODEL | Yes | - | The second model to merge | +| `patchify_proj.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for patchify projection layers (default: 1.0) | +| `adaln_single.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for adaptive layer normalization single layers (default: 1.0) | +| `caption_projection.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for caption projection layers (default: 1.0) | +| `transformer_blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 0 (default: 1.0) | +| `transformer_blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 1 (default: 1.0) | +| `transformer_blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 2 (default: 1.0) | +| `transformer_blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 3 (default: 1.0) | +| `transformer_blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 4 (default: 1.0) | +| `transformer_blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 5 (default: 1.0) | +| `transformer_blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 6 (default: 1.0) | +| `transformer_blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 7 (default: 1.0) | +| `transformer_blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 8 (default: 1.0) | +| `transformer_blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 9 (default: 1.0) | +| `transformer_blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 10 (default: 1.0) | +| `transformer_blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 11 (default: 1.0) | +| `transformer_blocks.12.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 12 (default: 1.0) | +| `transformer_blocks.13.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 13 (default: 1.0) | +| `transformer_blocks.14.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 14 (default: 1.0) | +| `transformer_blocks.15.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 15 (default: 1.0) | +| `transformer_blocks.16.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 16 (default: 1.0) | +| `transformer_blocks.17.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 17 (default: 1.0) | +| `transformer_blocks.18.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 18 (default: 1.0) | +| `transformer_blocks.19.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 19 (default: 1.0) | +| `transformer_blocks.20.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 20 (default: 1.0) | +| `transformer_blocks.21.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 21 (default: 1.0) | +| `transformer_blocks.22.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 22 (default: 1.0) | +| `transformer_blocks.23.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 23 (default: 1.0) | +| `transformer_blocks.24.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 24 (default: 1.0) | +| `transformer_blocks.25.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 25 (default: 1.0) | +| `transformer_blocks.26.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 26 (default: 1.0) | +| `transformer_blocks.27.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for transformer block 27 (default: 1.0) | +| `scale_shift_table` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for scale shift table (default: 1.0) | +| `proj_out.` | FLOAT | Yes | 0.0 - 1.0 | Interpolation weight for projection output layers (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The merged model combining features from both input models according to the specified interpolation weights | diff --git a/built-in-nodes/ModelMergeMochiPreview.mdx b/built-in-nodes/ModelMergeMochiPreview.mdx new file mode 100644 index 000000000..fc8def833 --- /dev/null +++ b/built-in-nodes/ModelMergeMochiPreview.mdx @@ -0,0 +1,75 @@ +--- +title: "ModelMergeMochiPreview - ComfyUI Built-in Node Documentation" +description: "This node merges two AI models using a block-based approach with fine-grained control over different model components. It allows you to blend models by adjusting interpolation weights for specific ..." +sidebarTitle: "ModelMergeMochiPreview" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeMochiPreview/en.md) + +This node merges two AI models using a block-based approach with fine-grained control over different model components. It allows you to blend models by adjusting interpolation weights for specific sections including positional frequencies, embedding layers, and individual transformer blocks. The merging process combines the architectures and parameters from both input models according to the specified weight values. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | The first model to merge | +| `model2` | MODEL | Yes | - | The second model to merge | +| `pos_frequencies.` | FLOAT | Yes | 0.0 - 1.0 | Weight for positional frequencies interpolation (default: 1.0) | +| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for time embedder interpolation (default: 1.0) | +| `t5_y_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for T5-Y embedder interpolation (default: 1.0) | +| `t5_yproj.` | FLOAT | Yes | 0.0 - 1.0 | Weight for T5-Y projection interpolation (default: 1.0) | +| `blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 0 interpolation (default: 1.0) | +| `blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 1 interpolation (default: 1.0) | +| `blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 2 interpolation (default: 1.0) | +| `blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 3 interpolation (default: 1.0) | +| `blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 4 interpolation (default: 1.0) | +| `blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 5 interpolation (default: 1.0) | +| `blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 6 interpolation (default: 1.0) | +| `blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 7 interpolation (default: 1.0) | +| `blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 8 interpolation (default: 1.0) | +| `blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 9 interpolation (default: 1.0) | +| `blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 10 interpolation (default: 1.0) | +| `blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 11 interpolation (default: 1.0) | +| `blocks.12.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 12 interpolation (default: 1.0) | +| `blocks.13.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 13 interpolation (default: 1.0) | +| `blocks.14.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 14 interpolation (default: 1.0) | +| `blocks.15.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 15 interpolation (default: 1.0) | +| `blocks.16.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 16 interpolation (default: 1.0) | +| `blocks.17.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 17 interpolation (default: 1.0) | +| `blocks.18.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 18 interpolation (default: 1.0) | +| `blocks.19.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 19 interpolation (default: 1.0) | +| `blocks.20.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 20 interpolation (default: 1.0) | +| `blocks.21.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 21 interpolation (default: 1.0) | +| `blocks.22.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 22 interpolation (default: 1.0) | +| `blocks.23.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 23 interpolation (default: 1.0) | +| `blocks.24.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 24 interpolation (default: 1.0) | +| `blocks.25.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 25 interpolation (default: 1.0) | +| `blocks.26.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 26 interpolation (default: 1.0) | +| `blocks.27.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 27 interpolation (default: 1.0) | +| `blocks.28.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 28 interpolation (default: 1.0) | +| `blocks.29.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 29 interpolation (default: 1.0) | +| `blocks.30.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 30 interpolation (default: 1.0) | +| `blocks.31.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 31 interpolation (default: 1.0) | +| `blocks.32.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 32 interpolation (default: 1.0) | +| `blocks.33.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 33 interpolation (default: 1.0) | +| `blocks.34.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 34 interpolation (default: 1.0) | +| `blocks.35.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 35 interpolation (default: 1.0) | +| `blocks.36.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 36 interpolation (default: 1.0) | +| `blocks.37.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 37 interpolation (default: 1.0) | +| `blocks.38.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 38 interpolation (default: 1.0) | +| `blocks.39.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 39 interpolation (default: 1.0) | +| `blocks.40.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 40 interpolation (default: 1.0) | +| `blocks.41.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 41 interpolation (default: 1.0) | +| `blocks.42.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 42 interpolation (default: 1.0) | +| `blocks.43.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 43 interpolation (default: 1.0) | +| `blocks.44.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 44 interpolation (default: 1.0) | +| `blocks.45.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 45 interpolation (default: 1.0) | +| `blocks.46.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 46 interpolation (default: 1.0) | +| `blocks.47.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 47 interpolation (default: 1.0) | +| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Weight for final layer interpolation (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The merged model combining features from both input models according to the specified weights | diff --git a/built-in-nodes/ModelMergeQwenImage.mdx b/built-in-nodes/ModelMergeQwenImage.mdx new file mode 100644 index 000000000..bfbadce1a --- /dev/null +++ b/built-in-nodes/ModelMergeQwenImage.mdx @@ -0,0 +1,29 @@ +--- +title: "ModelMergeQwenImage - ComfyUI Built-in Node Documentation" +description: "The ModelMergeQwenImage node merges two AI models by combining their components with adjustable weights. It allows you to blend specific parts of Qwen image models, including transformer blocks, po..." +sidebarTitle: "ModelMergeQwenImage" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeQwenImage/en.md) + +The ModelMergeQwenImage node merges two AI models by combining their components with adjustable weights. It allows you to blend specific parts of Qwen image models, including transformer blocks, positional embeddings, and text processing components. You can control how much influence each model has on different sections of the merged result. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | The first model to merge (default: none) | +| `model2` | MODEL | Yes | - | The second model to merge (default: none) | +| `pos_embeds.` | FLOAT | Yes | 0.0 to 1.0 | Weight for positional embeddings blending (default: 1.0) | +| `img_in.` | FLOAT | Yes | 0.0 to 1.0 | Weight for image input processing blending (default: 1.0) | +| `txt_norm.` | FLOAT | Yes | 0.0 to 1.0 | Weight for text normalization blending (default: 1.0) | +| `txt_in.` | FLOAT | Yes | 0.0 to 1.0 | Weight for text input processing blending (default: 1.0) | +| `time_text_embed.` | FLOAT | Yes | 0.0 to 1.0 | Weight for time and text embedding blending (default: 1.0) | +| `transformer_blocks.0.` to `transformer_blocks.59.` | FLOAT | Yes | 0.0 to 1.0 | Weight for each transformer block blending (default: 1.0) | +| `proj_out.` | FLOAT | Yes | 0.0 to 1.0 | Weight for output projection blending (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The merged model combining components from both input models with the specified weights | diff --git a/built-in-nodes/ModelMergeSD1.mdx b/built-in-nodes/ModelMergeSD1.mdx new file mode 100644 index 000000000..dbf00c304 --- /dev/null +++ b/built-in-nodes/ModelMergeSD1.mdx @@ -0,0 +1,52 @@ +--- +title: "ModelMergeSD1 - ComfyUI Built-in Node Documentation" +description: "The ModelMergeSD1 node allows you to blend two Stable Diffusion 1.x models together by adjusting the influence of different model components. It provides individual control over time embedding, lab..." +sidebarTitle: "ModelMergeSD1" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD1/en.md) + +The ModelMergeSD1 node allows you to blend two Stable Diffusion 1.x models together by adjusting the influence of different model components. It provides individual control over time embedding, label embedding, and all input, middle, and output blocks, enabling fine-tuned model merging for specific use cases. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | The first model to merge | +| `model2` | MODEL | Yes | - | The second model to merge | +| `time_embed.` | FLOAT | Yes | 0.0 - 1.0 | Time embedding layer blending weight (default: 1.0) | +| `label_emb.` | FLOAT | Yes | 0.0 - 1.0 | Label embedding layer blending weight (default: 1.0) | +| `input_blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Input block 0 blending weight (default: 1.0) | +| `input_blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Input block 1 blending weight (default: 1.0) | +| `input_blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Input block 2 blending weight (default: 1.0) | +| `input_blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Input block 3 blending weight (default: 1.0) | +| `input_blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Input block 4 blending weight (default: 1.0) | +| `input_blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Input block 5 blending weight (default: 1.0) | +| `input_blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Input block 6 blending weight (default: 1.0) | +| `input_blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Input block 7 blending weight (default: 1.0) | +| `input_blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Input block 8 blending weight (default: 1.0) | +| `input_blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Input block 9 blending weight (default: 1.0) | +| `input_blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Input block 10 blending weight (default: 1.0) | +| `input_blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Input block 11 blending weight (default: 1.0) | +| `middle_block.0.` | FLOAT | Yes | 0.0 - 1.0 | Middle block 0 blending weight (default: 1.0) | +| `middle_block.1.` | FLOAT | Yes | 0.0 - 1.0 | Middle block 1 blending weight (default: 1.0) | +| `middle_block.2.` | FLOAT | Yes | 0.0 - 1.0 | Middle block 2 blending weight (default: 1.0) | +| `output_blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Output block 0 blending weight (default: 1.0) | +| `output_blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Output block 1 blending weight (default: 1.0) | +| `output_blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Output block 2 blending weight (default: 1.0) | +| `output_blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Output block 3 blending weight (default: 1.0) | +| `output_blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Output block 4 blending weight (default: 1.0) | +| `output_blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Output block 5 blending weight (default: 1.0) | +| `output_blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Output block 6 blending weight (default: 1.0) | +| `output_blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Output block 7 blending weight (default: 1.0) | +| `output_blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Output block 8 blending weight (default: 1.0) | +| `output_blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Output block 9 blending weight (default: 1.0) | +| `output_blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Output block 10 blending weight (default: 1.0) | +| `output_blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Output block 11 blending weight (default: 1.0) | +| `out.` | FLOAT | Yes | 0.0 - 1.0 | Output layer blending weight (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MODEL` | MODEL | The merged model combining features from both input models | diff --git a/built-in-nodes/ModelMergeSD35_Large.mdx b/built-in-nodes/ModelMergeSD35_Large.mdx new file mode 100644 index 000000000..b007c9efb --- /dev/null +++ b/built-in-nodes/ModelMergeSD35_Large.mdx @@ -0,0 +1,68 @@ +--- +title: "ModelMergeSD35_Large - ComfyUI Built-in Node Documentation" +description: "The ModelMergeSD35_Large node allows you to blend two Stable Diffusion 3.5 Large models together by adjusting the influence of different model components. It provides precise control over how much ..." +sidebarTitle: "ModelMergeSD35_Large" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD35_Large/en.md) + +The ModelMergeSD35_Large node allows you to blend two Stable Diffusion 3.5 Large models together by adjusting the influence of different model components. It provides precise control over how much each part of the second model contributes to the final merged model, from embedding layers to joint blocks and final layers. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | The base model that serves as the foundation for merging | +| `model2` | MODEL | Yes | - | The secondary model whose components will be blended into the base model | +| `pos_embed.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of the position embedding from model2 is blended into the merged model (default: 1.0) | +| `x_embedder.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of the x embedder from model2 is blended into the merged model (default: 1.0) | +| `context_embedder.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of the context embedder from model2 is blended into the merged model (default: 1.0) | +| `y_embedder.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of the y embedder from model2 is blended into the merged model (default: 1.0) | +| `t_embedder.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of the t embedder from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.0.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 0 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.1.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 1 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.2.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 2 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.3.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 3 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.4.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 4 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.5.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 5 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.6.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 6 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.7.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 7 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.8.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 8 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.9.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 9 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.10.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 10 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.11.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 11 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.12.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 12 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.13.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 13 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.14.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 14 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.15.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 15 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.16.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 16 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.17.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 17 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.18.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 18 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.19.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 19 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.20.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 20 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.21.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 21 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.22.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 22 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.23.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 23 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.24.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 24 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.25.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 25 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.26.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 26 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.27.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 27 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.28.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 28 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.29.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 29 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.30.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 30 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.31.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 31 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.32.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 32 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.33.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 33 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.34.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 34 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.35.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 35 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.36.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 36 from model2 is blended into the merged model (default: 1.0) | +| `joint_blocks.37.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of joint block 37 from model2 is blended into the merged model (default: 1.0) | +| `final_layer.` | FLOAT | Yes | 0.0 to 1.0 | Controls how much of the final layer from model2 is blended into the merged model (default: 1.0) | + +**Note:** All blend parameters accept values from 0.0 to 1.0, where 0.0 means no contribution from model2 and 1.0 means full contribution from model2 for that specific component. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The resulting merged model combining features from both input models according to the specified blend parameters | diff --git a/built-in-nodes/ModelMergeSD3_2B.mdx b/built-in-nodes/ModelMergeSD3_2B.mdx new file mode 100644 index 000000000..a32f6d82e --- /dev/null +++ b/built-in-nodes/ModelMergeSD3_2B.mdx @@ -0,0 +1,52 @@ +--- +title: "ModelMergeSD3_2B - ComfyUI Built-in Node Documentation" +description: "The ModelMergeSD3_2B node allows you to merge two Stable Diffusion 3 2B models by blending their components with adjustable weights. It provides individual control over embedding layers and transfo..." +sidebarTitle: "ModelMergeSD3_2B" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD3_2B/en.md) + +The ModelMergeSD3_2B node allows you to merge two Stable Diffusion 3 2B models by blending their components with adjustable weights. It provides individual control over embedding layers and transformer blocks, enabling fine-tuned model combinations for specialized generation tasks. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | The first model to merge | +| `model2` | MODEL | Yes | - | The second model to merge | +| `pos_embed.` | FLOAT | Yes | 0.0 - 1.0 | Position embedding interpolation weight (default: 1.0) | +| `x_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Input embedding interpolation weight (default: 1.0) | +| `context_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Context embedding interpolation weight (default: 1.0) | +| `y_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Y embedding interpolation weight (default: 1.0) | +| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Time embedding interpolation weight (default: 1.0) | +| `joint_blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 0 interpolation weight (default: 1.0) | +| `joint_blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 1 interpolation weight (default: 1.0) | +| `joint_blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 2 interpolation weight (default: 1.0) | +| `joint_blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 3 interpolation weight (default: 1.0) | +| `joint_blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 4 interpolation weight (default: 1.0) | +| `joint_blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 5 interpolation weight (default: 1.0) | +| `joint_blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 6 interpolation weight (default: 1.0) | +| `joint_blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 7 interpolation weight (default: 1.0) | +| `joint_blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 8 interpolation weight (default: 1.0) | +| `joint_blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 9 interpolation weight (default: 1.0) | +| `joint_blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 10 interpolation weight (default: 1.0) | +| `joint_blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 11 interpolation weight (default: 1.0) | +| `joint_blocks.12.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 12 interpolation weight (default: 1.0) | +| `joint_blocks.13.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 13 interpolation weight (default: 1.0) | +| `joint_blocks.14.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 14 interpolation weight (default: 1.0) | +| `joint_blocks.15.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 15 interpolation weight (default: 1.0) | +| `joint_blocks.16.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 16 interpolation weight (default: 1.0) | +| `joint_blocks.17.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 17 interpolation weight (default: 1.0) | +| `joint_blocks.18.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 18 interpolation weight (default: 1.0) | +| `joint_blocks.19.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 19 interpolation weight (default: 1.0) | +| `joint_blocks.20.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 20 interpolation weight (default: 1.0) | +| `joint_blocks.21.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 21 interpolation weight (default: 1.0) | +| `joint_blocks.22.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 22 interpolation weight (default: 1.0) | +| `joint_blocks.23.` | FLOAT | Yes | 0.0 - 1.0 | Joint block 23 interpolation weight (default: 1.0) | +| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Final layer interpolation weight (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The merged model combining features from both input models | diff --git a/built-in-nodes/ModelMergeSDXL.mdx b/built-in-nodes/ModelMergeSDXL.mdx new file mode 100644 index 000000000..88664cc71 --- /dev/null +++ b/built-in-nodes/ModelMergeSDXL.mdx @@ -0,0 +1,46 @@ +--- +title: "ModelMergeSDXL - ComfyUI Built-in Node Documentation" +description: "The ModelMergeSDXL node allows you to blend two SDXL models together by adjusting the influence of each model on different parts of the architecture. You can control how much each model contributes..." +sidebarTitle: "ModelMergeSDXL" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSDXL/en.md) + +The ModelMergeSDXL node allows you to blend two SDXL models together by adjusting the influence of each model on different parts of the architecture. You can control how much each model contributes to time embeddings, label embeddings, and various blocks within the model structure. This creates a hybrid model that combines characteristics from both input models. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | The first SDXL model to merge | +| `model2` | MODEL | Yes | - | The second SDXL model to merge | +| `time_embed.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for time embedding layers (default: 1.0) | +| `label_emb.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for label embedding layers (default: 1.0) | +| `input_blocks.0` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 0 (default: 1.0) | +| `input_blocks.1` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 1 (default: 1.0) | +| `input_blocks.2` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 2 (default: 1.0) | +| `input_blocks.3` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 3 (default: 1.0) | +| `input_blocks.4` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 4 (default: 1.0) | +| `input_blocks.5` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 5 (default: 1.0) | +| `input_blocks.6` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 6 (default: 1.0) | +| `input_blocks.7` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 7 (default: 1.0) | +| `input_blocks.8` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for input block 8 (default: 1.0) | +| `middle_block.0` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for middle block 0 (default: 1.0) | +| `middle_block.1` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for middle block 1 (default: 1.0) | +| `middle_block.2` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for middle block 2 (default: 1.0) | +| `output_blocks.0` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 0 (default: 1.0) | +| `output_blocks.1` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 1 (default: 1.0) | +| `output_blocks.2` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 2 (default: 1.0) | +| `output_blocks.3` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 3 (default: 1.0) | +| `output_blocks.4` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 4 (default: 1.0) | +| `output_blocks.5` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 5 (default: 1.0) | +| `output_blocks.6` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 6 (default: 1.0) | +| `output_blocks.7` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 7 (default: 1.0) | +| `output_blocks.8` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output block 8 (default: 1.0) | +| `out.` | FLOAT | Yes | 0.0 - 1.0 | Blending weight for output layers (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The merged SDXL model combining characteristics from both input models | diff --git a/built-in-nodes/ModelMergeSimple.mdx b/built-in-nodes/ModelMergeSimple.mdx new file mode 100644 index 000000000..553373dac --- /dev/null +++ b/built-in-nodes/ModelMergeSimple.mdx @@ -0,0 +1,23 @@ +--- +title: "ModelMergeSimple - ComfyUI Built-in Node Documentation" +description: "The ModelMergeSimple node is designed for merging two models by blending their parameters based on a specified ratio. This node facilitates the creation of hybrid models that combine the strengths ..." +sidebarTitle: "ModelMergeSimple" +icon: "circle" +--- +The ModelMergeSimple node is designed for merging two models by blending their parameters based on a specified ratio. This node facilitates the creation of hybrid models that combine the strengths or characteristics of both input models. + +The `ratio` parameter determines the blending ratio between the two models. When this value is 1, the output model is 100% `model1`, and when this value is 0, the output model is 100% `model2`. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model1` | `MODEL` | The first model to be merged. It serves as the base model onto which patches from the second model are applied. | +| `model2` | `MODEL` | The second model whose patches are applied onto the first model, influenced by the specified ratio. | +| `ratio` | `FLOAT` | When this value is 1, the output model is 100% `model1`, and when this value is 0, the output model is 100% `model2`. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model` | MODEL | The resulting merged model, incorporating elements from both input models according to the specified ratio. | diff --git a/built-in-nodes/ModelMergeSubtract.mdx b/built-in-nodes/ModelMergeSubtract.mdx new file mode 100644 index 000000000..4e64859b9 --- /dev/null +++ b/built-in-nodes/ModelMergeSubtract.mdx @@ -0,0 +1,22 @@ +--- +title: "ModelMergeSubtract - ComfyUI Built-in Node Documentation" +description: "This node is designed for advanced model merging operations, specifically to subtract the parameters of one model from another based on a specified multiplier. It enables the customization of model..." +sidebarTitle: "ModelMergeSubtract" +icon: "circle" +--- + +This node is designed for advanced model merging operations, specifically to subtract the parameters of one model from another based on a specified multiplier. It enables the customization of model behaviors by adjusting the influence of one model's parameters over another, facilitating the creation of new, hybrid models. + +## Inputs + +| Parameter | Data Type | Description | +|---------------|--------------|-------------| +| `model1` | `MODEL` | The base model from which parameters will be subtracted. | +| `model2` | `MODEL` | The model whose parameters will be subtracted from the base model. | +| `multiplier` | `FLOAT` | A floating-point value that scales the subtraction effect on the base model's parameters. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model` | MODEL | The resulting model after subtracting the parameters of one model from another, scaled by the multiplier. | diff --git a/built-in-nodes/ModelMergeWAN2_1.mdx b/built-in-nodes/ModelMergeWAN2_1.mdx new file mode 100644 index 000000000..cbd7b958c --- /dev/null +++ b/built-in-nodes/ModelMergeWAN2_1.mdx @@ -0,0 +1,70 @@ +--- +title: "ModelMergeWAN2_1 - ComfyUI Built-in Node Documentation" +description: "The ModelMergeWAN2_1 node merges two models by blending their components using weighted averages. It supports different model sizes including 1.3B models with 30 blocks and 14B models with 40 block..." +sidebarTitle: "ModelMergeWAN2_1" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeWAN2_1/en.md) + +The ModelMergeWAN2_1 node merges two models by blending their components using weighted averages. It supports different model sizes including 1.3B models with 30 blocks and 14B models with 40 blocks, with special handling for image to video models that include an extra image embedding component. Each component of the models can be individually weighted to control the blending ratio between the two input models. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | Yes | - | First model to merge | +| `model2` | MODEL | Yes | - | Second model to merge | +| `patch_embedding.` | FLOAT | Yes | 0.0 - 1.0 | Weight for patch embedding component (default: 1.0) | +| `time_embedding.` | FLOAT | Yes | 0.0 - 1.0 | Weight for time embedding component (default: 1.0) | +| `time_projection.` | FLOAT | Yes | 0.0 - 1.0 | Weight for time projection component (default: 1.0) | +| `text_embedding.` | FLOAT | Yes | 0.0 - 1.0 | Weight for text embedding component (default: 1.0) | +| `img_emb.` | FLOAT | Yes | 0.0 - 1.0 | Weight for image embedding component, used in image to video models (default: 1.0) | +| `blocks.0.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 0 (default: 1.0) | +| `blocks.1.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 1 (default: 1.0) | +| `blocks.2.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 2 (default: 1.0) | +| `blocks.3.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 3 (default: 1.0) | +| `blocks.4.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 4 (default: 1.0) | +| `blocks.5.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 5 (default: 1.0) | +| `blocks.6.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 6 (default: 1.0) | +| `blocks.7.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 7 (default: 1.0) | +| `blocks.8.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 8 (default: 1.0) | +| `blocks.9.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 9 (default: 1.0) | +| `blocks.10.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 10 (default: 1.0) | +| `blocks.11.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 11 (default: 1.0) | +| `blocks.12.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 12 (default: 1.0) | +| `blocks.13.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 13 (default: 1.0) | +| `blocks.14.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 14 (default: 1.0) | +| `blocks.15.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 15 (default: 1.0) | +| `blocks.16.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 16 (default: 1.0) | +| `blocks.17.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 17 (default: 1.0) | +| `blocks.18.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 18 (default: 1.0) | +| `blocks.19.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 19 (default: 1.0) | +| `blocks.20.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 20 (default: 1.0) | +| `blocks.21.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 21 (default: 1.0) | +| `blocks.22.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 22 (default: 1.0) | +| `blocks.23.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 23 (default: 1.0) | +| `blocks.24.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 24 (default: 1.0) | +| `blocks.25.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 25 (default: 1.0) | +| `blocks.26.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 26 (default: 1.0) | +| `blocks.27.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 27 (default: 1.0) | +| `blocks.28.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 28 (default: 1.0) | +| `blocks.29.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 29 (default: 1.0) | +| `blocks.30.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 30 (default: 1.0) | +| `blocks.31.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 31 (default: 1.0) | +| `blocks.32.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 32 (default: 1.0) | +| `blocks.33.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 33 (default: 1.0) | +| `blocks.34.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 34 (default: 1.0) | +| `blocks.35.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 35 (default: 1.0) | +| `blocks.36.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 36 (default: 1.0) | +| `blocks.37.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 37 (default: 1.0) | +| `blocks.38.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 38 (default: 1.0) | +| `blocks.39.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 39 (default: 1.0) | +| `head.` | FLOAT | Yes | 0.0 - 1.0 | Weight for head component (default: 1.0) | + +**Note:** All weight parameters use a range from 0.0 to 1.0 with 0.01 step increments. The node supports up to 40 blocks to accommodate different model sizes, where 1.3B models use 30 blocks and 14B models use 40 blocks. The `img_emb.` parameter is specifically for image to video models. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The merged model combining components from both input models according to the specified weights | diff --git a/built-in-nodes/ModelPatchLoader.mdx b/built-in-nodes/ModelPatchLoader.mdx new file mode 100644 index 000000000..403209055 --- /dev/null +++ b/built-in-nodes/ModelPatchLoader.mdx @@ -0,0 +1,21 @@ +--- +title: "ModelPatchLoader - ComfyUI Built-in Node Documentation" +description: "The ModelPatchLoader node loads specialized model patches from the model_patches folder. It automatically detects the type of patch file and loads the appropriate model architecture, then wraps it ..." +sidebarTitle: "ModelPatchLoader" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelPatchLoader/en.md) + +The ModelPatchLoader node loads specialized model patches from the model_patches folder. It automatically detects the type of patch file and loads the appropriate model architecture, then wraps it in a ModelPatcher for use in the workflow. This node supports different patch types including controlnet blocks and feature embedder models. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `name` | STRING | Yes | All available model patch files from model_patches folder | The filename of the model patch to load from the model_patches directory | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MODEL_PATCH` | MODEL_PATCH | The loaded model patch wrapped in a ModelPatcher for use in the workflow | diff --git a/built-in-nodes/ModelSamplingAuraFlow.mdx b/built-in-nodes/ModelSamplingAuraFlow.mdx new file mode 100644 index 000000000..10fb4d6da --- /dev/null +++ b/built-in-nodes/ModelSamplingAuraFlow.mdx @@ -0,0 +1,22 @@ +--- +title: "ModelSamplingAuraFlow - ComfyUI Built-in Node Documentation" +description: "The ModelSamplingAuraFlow node applies a specialized sampling configuration to diffusion models, specifically designed for AuraFlow model architectures. It modifies the model's sampling behavior by..." +sidebarTitle: "ModelSamplingAuraFlow" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingAuraFlow/en.md) + +The ModelSamplingAuraFlow node applies a specialized sampling configuration to diffusion models, specifically designed for AuraFlow model architectures. It modifies the model's sampling behavior by applying a shift parameter that adjusts the sampling distribution. This node inherits from the SD3 model sampling framework and provides fine control over the sampling process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to apply the AuraFlow sampling configuration to | +| `shift` | FLOAT | Yes | 0.0 - 100.0 | The shift value to apply to the sampling distribution (default: 1.73) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with AuraFlow sampling configuration applied | diff --git a/built-in-nodes/ModelSamplingContinuousEDM.mdx b/built-in-nodes/ModelSamplingContinuousEDM.mdx new file mode 100644 index 000000000..3a993b399 --- /dev/null +++ b/built-in-nodes/ModelSamplingContinuousEDM.mdx @@ -0,0 +1,23 @@ +--- +title: "ModelSamplingContinuousEDM - ComfyUI Built-in Node Documentation" +description: "This node is designed to enhance a model's sampling capabilities by integrating continuous EDM (Energy-based Diffusion Models) sampling techniques. It allows for the dynamic adjustment of the noise..." +sidebarTitle: "ModelSamplingContinuousEDM" +icon: "circle" +--- + +This node is designed to enhance a model's sampling capabilities by integrating continuous EDM (Energy-based Diffusion Models) sampling techniques. It allows for the dynamic adjustment of the noise levels within the model's sampling process, offering a more refined control over the generation quality and diversity. + +## Inputs + +| Parameter | Data Type | Python dtype | Description | +|-------------|--------------|----------------------|-------------| +| `model` | `MODEL` | `torch.nn.Module` | The model to be enhanced with continuous EDM sampling capabilities. It serves as the foundation for applying the advanced sampling techniques. | +| `sampling` | COMBO[STRING] | `str` | Specifies the type of sampling to be applied, either 'eps' for epsilon sampling or 'v_prediction' for velocity prediction, influencing the model's behavior during the sampling process. | +| `sigma_max` | `FLOAT` | `float` | The maximum sigma value for noise level, allowing for upper bound control in the noise injection process during sampling. | +| `sigma_min` | `FLOAT` | `float` | The minimum sigma value for noise level, setting the lower limit for noise injection, thus affecting the model's sampling precision. | + +## Outputs + +| Parameter | Data Type | Python dtype | Description | +|-----------|-------------|----------------------|-------------| +| `model` | MODEL | `torch.nn.Module` | The enhanced model with integrated continuous EDM sampling capabilities, ready for further use in generation tasks. | diff --git a/built-in-nodes/ModelSamplingContinuousV.mdx b/built-in-nodes/ModelSamplingContinuousV.mdx new file mode 100644 index 000000000..745fd09cc --- /dev/null +++ b/built-in-nodes/ModelSamplingContinuousV.mdx @@ -0,0 +1,24 @@ +--- +title: "ModelSamplingContinuousV - ComfyUI Built-in Node Documentation" +description: "The ModelSamplingContinuousV node modifies a model's sampling behavior by applying continuous V-prediction sampling parameters. It creates a clone of the input model and configures it with custom s..." +sidebarTitle: "ModelSamplingContinuousV" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousV/en.md) + +The ModelSamplingContinuousV node modifies a model's sampling behavior by applying continuous V-prediction sampling parameters. It creates a clone of the input model and configures it with custom sigma range settings for advanced sampling control. This allows users to fine-tune the sampling process with specific minimum and maximum sigma values. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The input model to be modified with continuous V-prediction sampling | +| `sampling` | STRING | Yes | "v_prediction" | The sampling method to apply (currently only V-prediction is supported) | +| `sigma_max` | FLOAT | Yes | 0.0 - 1000.0 | The maximum sigma value for sampling (default: 500.0) | +| `sigma_min` | FLOAT | Yes | 0.0 - 1000.0 | The minimum sigma value for sampling (default: 0.03) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with continuous V-prediction sampling applied | diff --git a/built-in-nodes/ModelSamplingDiscrete.mdx b/built-in-nodes/ModelSamplingDiscrete.mdx new file mode 100644 index 000000000..1ae07eba4 --- /dev/null +++ b/built-in-nodes/ModelSamplingDiscrete.mdx @@ -0,0 +1,22 @@ +--- +title: "ModelSamplingDiscrete - ComfyUI Built-in Node Documentation" +description: "This node is designed to modify the sampling behavior of a model by applying a discrete sampling strategy. It allows for the selection of different sampling methods, such as epsilon, v_prediction, ..." +sidebarTitle: "ModelSamplingDiscrete" +icon: "circle" +--- + +This node is designed to modify the sampling behavior of a model by applying a discrete sampling strategy. It allows for the selection of different sampling methods, such as epsilon, v_prediction, lcm, or x0, and optionally adjusts the model's noise reduction strategy based on the zero-shot noise ratio (zsnr) setting. + +## Inputs + +| Parameter | Data Type | Python dtype | Description | +|-----------|--------------|-------------------|-------------| +| `model` | MODEL | `torch.nn.Module` | The model to which the discrete sampling strategy will be applied. This parameter is crucial as it defines the base model that will undergo modification. | +| `sampling`| COMBO[STRING] | `str` | Specifies the discrete sampling method to be applied to the model. The choice of method affects how the model generates samples, offering different strategies for sampling. | +| `zsnr` | `BOOLEAN` | `bool` | A boolean flag that, when enabled, adjusts the model's noise reduction strategy based on the zero-shot noise ratio. This can influence the quality and characteristics of the generated samples. | + +## Outputs + +| Parameter | Data Type | Python dtype | Description | +|-----------|-------------|-------------------|-------------| +| `model` | MODEL | `torch.nn.Module` | The modified model with the applied discrete sampling strategy. This model is now equipped to generate samples using the specified method and adjustments. | diff --git a/built-in-nodes/ModelSamplingFlux.mdx b/built-in-nodes/ModelSamplingFlux.mdx new file mode 100644 index 000000000..99798fd69 --- /dev/null +++ b/built-in-nodes/ModelSamplingFlux.mdx @@ -0,0 +1,25 @@ +--- +title: "ModelSamplingFlux - ComfyUI Built-in Node Documentation" +description: "The ModelSamplingFlux node applies Flux model sampling to a given model by calculating a shift parameter based on image dimensions. It creates a specialized sampling configuration that adjusts the ..." +sidebarTitle: "ModelSamplingFlux" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingFlux/en.md) + +The ModelSamplingFlux node applies Flux model sampling to a given model by calculating a shift parameter based on image dimensions. It creates a specialized sampling configuration that adjusts the model's behavior according to the specified width, height, and shift parameters, then returns the modified model with the new sampling settings applied. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply Flux sampling to | +| `max_shift` | FLOAT | Yes | 0.0 - 100.0 | Maximum shift value for sampling calculation (default: 1.15) | +| `base_shift` | FLOAT | Yes | 0.0 - 100.0 | Base shift value for sampling calculation (default: 0.5) | +| `width` | INT | Yes | 16 - MAX_RESOLUTION | Width of the target image in pixels (default: 1024) | +| `height` | INT | Yes | 16 - MAX_RESOLUTION | Height of the target image in pixels (default: 1024) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with Flux sampling configuration applied | diff --git a/built-in-nodes/ModelSamplingLTXV.mdx b/built-in-nodes/ModelSamplingLTXV.mdx new file mode 100644 index 000000000..2b01c713f --- /dev/null +++ b/built-in-nodes/ModelSamplingLTXV.mdx @@ -0,0 +1,24 @@ +--- +title: "ModelSamplingLTXV - ComfyUI Built-in Node Documentation" +description: "The ModelSamplingLTXV node applies advanced sampling parameters to a model based on token count. It calculates a shift value using a linear interpolation between base and maximum shift values, with..." +sidebarTitle: "ModelSamplingLTXV" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingLTXV/en.md) + +The ModelSamplingLTXV node applies advanced sampling parameters to a model based on token count. It calculates a shift value using a linear interpolation between base and maximum shift values, with the calculation depending on the number of tokens in the input latent. The node then creates a specialized model sampling configuration and applies it to the input model. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The input model to apply sampling parameters to | +| `max_shift` | FLOAT | No | 0.0 to 100.0 | The maximum shift value used in calculation (default: 2.05) | +| `base_shift` | FLOAT | No | 0.0 to 100.0 | The base shift value used in calculation (default: 0.95) | +| `latent` | LATENT | No | - | Optional latent input used to determine token count for shift calculation | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with applied sampling parameters | diff --git a/built-in-nodes/ModelSamplingSD3.mdx b/built-in-nodes/ModelSamplingSD3.mdx new file mode 100644 index 000000000..aea481836 --- /dev/null +++ b/built-in-nodes/ModelSamplingSD3.mdx @@ -0,0 +1,22 @@ +--- +title: "ModelSamplingSD3 - ComfyUI Built-in Node Documentation" +description: "The ModelSamplingSD3 node applies Stable Diffusion 3 sampling parameters to a model. It modifies the model's sampling behavior by adjusting the shift parameter, which controls the sampling distribu..." +sidebarTitle: "ModelSamplingSD3" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingSD3/en.md) + +The ModelSamplingSD3 node applies Stable Diffusion 3 sampling parameters to a model. It modifies the model's sampling behavior by adjusting the shift parameter, which controls the sampling distribution characteristics. The node creates a modified copy of the input model with the specified sampling configuration applied. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The input model to apply SD3 sampling parameters to | +| `shift` | FLOAT | Yes | 0.0 - 100.0 | Controls the sampling shift parameter (default: 3.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with SD3 sampling parameters applied | diff --git a/built-in-nodes/ModelSamplingStableCascade.mdx b/built-in-nodes/ModelSamplingStableCascade.mdx new file mode 100644 index 000000000..9e1e1d451 --- /dev/null +++ b/built-in-nodes/ModelSamplingStableCascade.mdx @@ -0,0 +1,22 @@ +--- +title: "ModelSamplingStableCascade - ComfyUI Built-in Node Documentation" +description: "The ModelSamplingStableCascade node applies stable cascade sampling to a model by adjusting the sampling parameters with a shift value. It creates a modified version of the input model with custom ..." +sidebarTitle: "ModelSamplingStableCascade" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingStableCascade/en.md) + +The ModelSamplingStableCascade node applies stable cascade sampling to a model by adjusting the sampling parameters with a shift value. It creates a modified version of the input model with custom sampling configuration for stable cascade generation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The input model to apply stable cascade sampling to | +| `shift` | FLOAT | Yes | 0.0 - 100.0 | The shift value to apply to the sampling parameters (default: 2.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with stable cascade sampling applied | diff --git a/built-in-nodes/ModelSave.mdx b/built-in-nodes/ModelSave.mdx new file mode 100644 index 000000000..a43ce0fd1 --- /dev/null +++ b/built-in-nodes/ModelSave.mdx @@ -0,0 +1,24 @@ +--- +title: "ModelSave - ComfyUI Built-in Node Documentation" +description: "The ModelSave node saves trained or modified models to your computer's storage. It takes a model as input and writes it to a file with your specified filename. This allows you to preserve your work..." +sidebarTitle: "ModelSave" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSave/en.md) + +The ModelSave node saves trained or modified models to your computer's storage. It takes a model as input and writes it to a file with your specified filename. This allows you to preserve your work and reuse models in future projects. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to be saved to disk | +| `filename_prefix` | STRING | Yes | - | The filename and path prefix for the saved model file (default: "diffusion_models/ComfyUI") | +| `prompt` | PROMPT | No | - | Workflow prompt information (automatically provided) | +| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Additional workflow metadata (automatically provided) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| *None* | - | This node does not return any output values | diff --git a/built-in-nodes/MoonvalleyImg2VideoNode.mdx b/built-in-nodes/MoonvalleyImg2VideoNode.mdx new file mode 100644 index 000000000..9055a4727 --- /dev/null +++ b/built-in-nodes/MoonvalleyImg2VideoNode.mdx @@ -0,0 +1,32 @@ +--- +title: "MoonvalleyImg2VideoNode - ComfyUI Built-in Node Documentation" +description: "The Moonvalley Marey Image to Video node transforms a reference image into a video using the Moonvalley API. It takes an input image and a text prompt to generate a video with specified resolution,..." +sidebarTitle: "MoonvalleyImg2VideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/en.md) + +The Moonvalley Marey Image to Video node transforms a reference image into a video using the Moonvalley API. It takes an input image and a text prompt to generate a video with specified resolution, quality settings, and creative controls. The node handles the entire process from image upload to video generation and download. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The reference image used to generate the video | +| `prompt` | STRING | Yes | - | Text description for video generation (multiline input) | +| `negative_prompt` | STRING | No | - | Negative prompt text to exclude unwanted elements (default: extensive negative prompt list) | +| `resolution` | COMBO | No | "16:9 (1920 x 1080)"
"9:16 (1080 x 1920)"
"1:1 (1152 x 1152)"
"4:3 (1536 x 1152)"
"3:4 (1152 x 1536)" | Resolution of the output video (default: "16:9 (1920 x 1080)") | +| `prompt_adherence` | FLOAT | No | 1.0 - 20.0 | Guidance scale for generation control (default: 4.5, step: 1.0) | +| `seed` | INT | No | 0 - 4294967295 | Random seed value (default: 9, control after generate enabled) | +| `steps` | INT | No | 1 - 100 | Number of denoising steps (default: 33, step: 1) | + +**Constraints:** + +- The input image must have dimensions between 300x300 pixels and the maximum allowed height/width +- Prompt and negative prompt text length is limited to the Moonvalley Marey maximum prompt length + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video output | diff --git a/built-in-nodes/MoonvalleyTxt2VideoNode.mdx b/built-in-nodes/MoonvalleyTxt2VideoNode.mdx new file mode 100644 index 000000000..d34ea3ab5 --- /dev/null +++ b/built-in-nodes/MoonvalleyTxt2VideoNode.mdx @@ -0,0 +1,26 @@ +--- +title: "MoonvalleyTxt2VideoNode - ComfyUI Built-in Node Documentation" +description: "The Moonvalley Marey Text to Video node generates video content from text descriptions using the Moonvalley API. It takes a text prompt and converts it into a video with customizable settings for r..." +sidebarTitle: "MoonvalleyTxt2VideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/en.md) + +The Moonvalley Marey Text to Video node generates video content from text descriptions using the Moonvalley API. It takes a text prompt and converts it into a video with customizable settings for resolution, quality, and style. The node handles the entire process from sending the generation request to downloading the final video output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Text description of the video content to generate | +| `negative_prompt` | STRING | No | - | Negative prompt text (default: extensive list of excluded elements like synthetic, scene cut, artifacts, noise, etc.) | +| `resolution` | STRING | No | "16:9 (1920 x 1080)"
"9:16 (1080 x 1920)"
"1:1 (1152 x 1152)"
"4:3 (1536 x 1152)"
"3:4 (1152 x 1536)"
"21:9 (2560 x 1080)" | Resolution of the output video (default: "16:9 (1920 x 1080)") | +| `prompt_adherence` | FLOAT | No | 1.0-20.0 | Guidance scale for generation control (default: 4.0) | +| `seed` | INT | No | 0-4294967295 | Random seed value (default: 9) | +| `steps` | INT | No | 1-100 | Inference steps (default: 33) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The generated video output based on the text prompt | diff --git a/built-in-nodes/MoonvalleyVideo2VideoNode.mdx b/built-in-nodes/MoonvalleyVideo2VideoNode.mdx new file mode 100644 index 000000000..85d4095b7 --- /dev/null +++ b/built-in-nodes/MoonvalleyVideo2VideoNode.mdx @@ -0,0 +1,29 @@ +--- +title: "MoonvalleyVideo2VideoNode - ComfyUI Built-in Node Documentation" +description: "The Moonvalley Marey Video to Video node transforms an input video into a new video based on a text description. It uses the Moonvalley API to generate videos that match your prompt while preservin..." +sidebarTitle: "MoonvalleyVideo2VideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyVideo2VideoNode/en.md) + +The Moonvalley Marey Video to Video node transforms an input video into a new video based on a text description. It uses the Moonvalley API to generate videos that match your prompt while preserving motion or pose characteristics from the original video. You can control the style and content of the output video through text prompts and various generation parameters. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Describes the video to generate (multiline input) | +| `negative_prompt` | STRING | No | - | Negative prompt text (default: extensive list of negative descriptors) | +| `seed` | INT | Yes | 0-4294967295 | Random seed value (default: 9) | +| `video` | VIDEO | Yes | - | The reference video used to generate the output video. Must be at least 5 seconds long. Videos longer than 5s will be automatically trimmed. Only MP4 format supported. | +| `control_type` | COMBO | No | "Motion Transfer"
"Pose Transfer" | Control type selection (default: "Motion Transfer") | +| `motion_intensity` | INT | No | 0-100 | Only used if control_type is 'Motion Transfer' (default: 100) | +| `steps` | INT | Yes | 1-100 | Number of inference steps (default: 33) | + +**Note:** The `motion_intensity` parameter is only applied when `control_type` is set to "Motion Transfer". When using "Pose Transfer", this parameter is ignored. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video output | diff --git a/built-in-nodes/Morphology.mdx b/built-in-nodes/Morphology.mdx new file mode 100644 index 000000000..a56854f80 --- /dev/null +++ b/built-in-nodes/Morphology.mdx @@ -0,0 +1,23 @@ +--- +title: "Morphology - ComfyUI Built-in Node Documentation" +description: "The Morphology node applies various morphological operations to images, which are mathematical operations used to process and analyze shapes in images. It can perform operations like erosion, dilat..." +sidebarTitle: "Morphology" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Morphology/en.md) + +The Morphology node applies various morphological operations to images, which are mathematical operations used to process and analyze shapes in images. It can perform operations like erosion, dilation, opening, closing, and more using a customizable kernel size to control the effect strength. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to process | +| `operation` | STRING | Yes | `"erode"`
`"dilate"`
`"open"`
`"close"`
`"gradient"`
`"bottom_hat"`
`"top_hat"` | The morphological operation to apply | +| `kernel_size` | INT | No | 3-999 | The size of the structuring element kernel (default: 3) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The processed image after applying the morphological operation | diff --git a/built-in-nodes/NAGuidance.mdx b/built-in-nodes/NAGuidance.mdx new file mode 100644 index 000000000..89a654b83 --- /dev/null +++ b/built-in-nodes/NAGuidance.mdx @@ -0,0 +1,24 @@ +--- +title: "NAGuidance - ComfyUI Built-in Node Documentation" +description: "The NAGuidance node applies Normalized Attention Guidance to a model. This technique enables the use of negative prompts with distilled or schnell models by modifying the model's attention mechanis..." +sidebarTitle: "NAGuidance" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NAGuidance/en.md) + +The NAGuidance node applies Normalized Attention Guidance to a model. This technique enables the use of negative prompts with distilled or schnell models by modifying the model's attention mechanism during the sampling process to steer the generation away from undesired concepts. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply Normalized Attention Guidance to. | +| `nag_scale` | FLOAT | Yes | 0.0 - 50.0 | The guidance scale factor. Higher values push the generation further from the negative prompt. (default: 5.0) | +| `nag_alpha` | FLOAT | Yes | 0.0 - 1.0 | The blending factor for the normalized attention. A value of 1.0 fully replaces the original attention, while 0.0 has no effect. (default: 0.5) | +| `nag_tau` | FLOAT | Yes | 1.0 - 10.0 | A scaling factor used to limit the normalization ratio. (default: 1.5) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The patched model with Normalized Attention Guidance enabled. | diff --git a/built-in-nodes/NormalizeImages.mdx b/built-in-nodes/NormalizeImages.mdx new file mode 100644 index 000000000..6485f5aad --- /dev/null +++ b/built-in-nodes/NormalizeImages.mdx @@ -0,0 +1,23 @@ +--- +title: "NormalizeImages - ComfyUI Built-in Node Documentation" +description: "This node adjusts the pixel values of an input image using a mathematical normalization process. It subtracts a specified mean value from each pixel and then divides the result by a specified stand..." +sidebarTitle: "NormalizeImages" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeImages/en.md) + +This node adjusts the pixel values of an input image using a mathematical normalization process. It subtracts a specified mean value from each pixel and then divides the result by a specified standard deviation. This is a common preprocessing step to prepare image data for other machine learning models. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be normalized. | +| `mean` | FLOAT | No | 0.0 - 1.0 | The mean value to subtract from the image pixels (default: 0.5). | +| `std` | FLOAT | No | 0.001 - 1.0 | The standard deviation value to divide the image pixels by (default: 0.5). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The resulting image after the normalization process has been applied. | diff --git a/built-in-nodes/NormalizeVideoLatentStart.mdx b/built-in-nodes/NormalizeVideoLatentStart.mdx new file mode 100644 index 000000000..b409af9be --- /dev/null +++ b/built-in-nodes/NormalizeVideoLatentStart.mdx @@ -0,0 +1,25 @@ +--- +title: "NormalizeVideoLatentStart - ComfyUI Built-in Node Documentation" +description: "This node adjusts the first few frames of a video latent to make them look more like the frames that come after. It calculates the average and variation from a set of reference frames later in the ..." +sidebarTitle: "NormalizeVideoLatentStart" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/en.md) + +This node adjusts the first few frames of a video latent to make them look more like the frames that come after. It calculates the average and variation from a set of reference frames later in the video and applies those same characteristics to the starting frames. This helps create a smoother and more consistent visual transition at the beginning of a video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `latent` | LATENT | Yes | - | The video latent representation to process. | +| `start_frame_count` | INT | No | 1 to 16384 | Number of latent frames to normalize, counted from the start (default: 4). | +| `reference_frame_count` | INT | No | 1 to 16384 | Number of latent frames after the start frames to use as reference (default: 5). | + +**Note:** The `reference_frame_count` is automatically limited to the number of frames available after the starting frames. If the video latent is only 1 frame long, no normalization is performed and the original latent is returned unchanged. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `latent` | LATENT | The processed video latent with the starting frames normalized. | diff --git a/built-in-nodes/Note.mdx b/built-in-nodes/Note.mdx new file mode 100644 index 000000000..6261d4891 --- /dev/null +++ b/built-in-nodes/Note.mdx @@ -0,0 +1,13 @@ +--- +title: "Note - ComfyUI Built-in Node Documentation" +description: "Node to add annotations to a workflow." +sidebarTitle: "Note" +icon: "circle" +--- +Node to add annotations to a workflow. + +## Inputs + +## Outputs + +The node doesn't have outputs. diff --git a/built-in-nodes/OpenAIChatConfig.mdx b/built-in-nodes/OpenAIChatConfig.mdx new file mode 100644 index 000000000..2e1f64ea0 --- /dev/null +++ b/built-in-nodes/OpenAIChatConfig.mdx @@ -0,0 +1,23 @@ +--- +title: "OpenAIChatConfig - ComfyUI Built-in Node Documentation" +description: "The OpenAIChatConfig node allows setting additional configuration options for the OpenAI Chat Node. It provides advanced settings that control how the model generates responses, including truncatio..." +sidebarTitle: "OpenAIChatConfig" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md) + +The OpenAIChatConfig node allows setting additional configuration options for the OpenAI Chat Node. It provides advanced settings that control how the model generates responses, including truncation behavior, output length limits, and custom instructions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `truncation` | COMBO | Yes | `"auto"`
`"disabled"` | The truncation strategy to use for the model response. auto: If the context of this response and previous ones exceeds the model's context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation.disabled: If a model response will exceed the context window size for a model, the request will fail with a 400 error (default: "auto") | +| `max_output_tokens` | INT | No | 16-16384 | An upper bound for the number of tokens that can be generated for a response, including visible output tokens (default: 4096) | +| `instructions` | STRING | No | - | Additional instructions for the model response (multiline input supported) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `OPENAI_CHAT_CONFIG` | OPENAI_CHAT_CONFIG | Configuration object containing the specified settings for use with OpenAI Chat Nodes | diff --git a/built-in-nodes/OpenAIChatNode.mdx b/built-in-nodes/OpenAIChatNode.mdx new file mode 100644 index 000000000..584f14419 --- /dev/null +++ b/built-in-nodes/OpenAIChatNode.mdx @@ -0,0 +1,26 @@ +--- +title: "OpenAIChatNode - ComfyUI Built-in Node Documentation" +description: "This node generates text responses from an OpenAI model. It allows you to have conversations with the AI model by sending text prompts and receiving generated responses. The node supports multi-tur..." +sidebarTitle: "OpenAIChatNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatNode/en.md) + +This node generates text responses from an OpenAI model. It allows you to have conversations with the AI model by sending text prompts and receiving generated responses. The node supports multi-turn conversations where it can remember previous context, and it can also process images and files as additional context for the model. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Text inputs to the model, used to generate a response (default: empty) | +| `persist_context` | BOOLEAN | Yes | - | Persist chat context between calls for multi-turn conversation (default: True) | +| `model` | COMBO | Yes | Multiple OpenAI models available | The OpenAI model to use for generating responses | +| `images` | IMAGE | No | - | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node (default: None) | +| `files` | OPENAI_INPUT_FILES | No | - | Optional file(s) to use as context for the model. Accepts inputs from the OpenAI Chat Input Files node (default: None) | +| `advanced_options` | OPENAI_CHAT_CONFIG | No | - | Optional configuration for the model. Accepts inputs from the OpenAI Chat Advanced Options node (default: None) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output_text` | STRING | The text response generated by the OpenAI model | diff --git a/built-in-nodes/OpenAIDalle2.mdx b/built-in-nodes/OpenAIDalle2.mdx new file mode 100644 index 000000000..4fa79a06f --- /dev/null +++ b/built-in-nodes/OpenAIDalle2.mdx @@ -0,0 +1,32 @@ +--- +title: "OpenAIDalle2 - ComfyUI Built-in Node Documentation" +description: "```markdown Generates images synchronously via OpenAI's DALL·E 2 endpoint." +sidebarTitle: "OpenAIDalle2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle2/en.md) + +```markdown +Generates images synchronously via OpenAI's DALL·E 2 endpoint. + +## How It Works + +This node connects to OpenAI's DALL·E 2 API to create images based on text descriptions. When you provide a text prompt, the node sends it to OpenAI's servers which generate corresponding images and return them to ComfyUI. The node can operate in two modes: standard image generation using just a text prompt, or image editing mode when both an image and mask are provided. In editing mode, it uses the mask to determine which parts of the original image should be modified while keeping other areas unchanged. + +## Inputs + +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `prompt` | STRING | required | "" | - | Text prompt for DALL·E | +| `seed` | INT | optional | 0 | 0 to 2147483647 | not implemented yet in backend | +| `size` | COMBO | optional | "1024x1024" | "256x256", "512x512", "1024x1024" | Image size | +| `n` | INT | optional | 1 | 1 to 8 | How many images to generate | +| `image` | IMAGE | optional | None | - | Optional reference image for image editing. | +| `mask` | MASK | optional | None | - | Optional mask for inpainting (white areas will be replaced) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The generated or edited image(s) from DALL·E 2 | +``` diff --git a/built-in-nodes/OpenAIDalle3.mdx b/built-in-nodes/OpenAIDalle3.mdx new file mode 100644 index 000000000..d5d25f39e --- /dev/null +++ b/built-in-nodes/OpenAIDalle3.mdx @@ -0,0 +1,25 @@ +--- +title: "OpenAIDalle3 - ComfyUI Built-in Node Documentation" +description: "Generates images synchronously via OpenAI's DALL·E 3 endpoint. This node takes a text prompt and creates corresponding images using OpenAI's DALL·E 3 model, allowing you to specify image quality, s..." +sidebarTitle: "OpenAIDalle3" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle3/en.md) + +Generates images synchronously via OpenAI's DALL·E 3 endpoint. This node takes a text prompt and creates corresponding images using OpenAI's DALL·E 3 model, allowing you to specify image quality, style, and dimensions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Text prompt for DALL·E (default: "") | +| `seed` | INT | No | 0 to 2147483647 | not implemented yet in backend (default: 0) | +| `quality` | COMBO | No | "standard"
"hd" | Image quality (default: "standard") | +| `style` | COMBO | No | "natural"
"vivid" | Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. (default: "natural") | +| `size` | COMBO | No | "1024x1024"
"1024x1792"
"1792x1024" | Image size (default: "1024x1024") | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The generated image from DALL·E 3 | diff --git a/built-in-nodes/OpenAIGPTImage1.mdx b/built-in-nodes/OpenAIGPTImage1.mdx new file mode 100644 index 000000000..33a254886 --- /dev/null +++ b/built-in-nodes/OpenAIGPTImage1.mdx @@ -0,0 +1,35 @@ +--- +title: "OpenAIGPTImage1 - ComfyUI Built-in Node Documentation" +description: "Generates images synchronously via OpenAI's GPT Image 1 endpoint. This node can create new images from text prompts or edit existing images when provided with an input image and optional mask." +sidebarTitle: "OpenAIGPTImage1" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md) + +Generates images synchronously via OpenAI's GPT Image 1 endpoint. This node can create new images from text prompts or edit existing images when provided with an input image and optional mask. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Text prompt for GPT Image 1 (default: "") | +| `seed` | INT | No | 0 to 2147483647 | Random seed for generation (default: 0) - not implemented yet in backend | +| `quality` | COMBO | No | "low"
"medium"
"high" | Image quality, affects cost and generation time (default: "low") | +| `background` | COMBO | No | "opaque"
"transparent" | Return image with or without background (default: "opaque") | +| `size` | COMBO | No | "auto"
"1024x1024"
"1024x1536"
"1536x1024" | Image size (default: "auto") | +| `n` | INT | No | 1 to 8 | How many images to generate (default: 1) | +| `image` | IMAGE | No | - | Optional reference image for image editing (default: None) | +| `mask` | MASK | No | - | Optional mask for inpainting (white areas will be replaced) (default: None) | + +**Parameter Constraints:** + +- When `image` is provided, the node switches to image editing mode +- `mask` can only be used when `image` is provided +- When using `mask`, only single images are supported (batch size must be 1) +- `mask` and `image` must be the same size + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | Generated or edited image(s) | diff --git a/built-in-nodes/OpenAIInputFiles.mdx b/built-in-nodes/OpenAIInputFiles.mdx new file mode 100644 index 000000000..e0bbd32d1 --- /dev/null +++ b/built-in-nodes/OpenAIInputFiles.mdx @@ -0,0 +1,28 @@ +--- +title: "OpenAIInputFiles - ComfyUI Built-in Node Documentation" +description: "Loads and formats input files for OpenAI API. This node prepares text and PDF files to include as context inputs for the OpenAI Chat Node. The files will be read by the OpenAI model when generating..." +sidebarTitle: "OpenAIInputFiles" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md) + +Loads and formats input files for OpenAI API. This node prepares text and PDF files to include as context inputs for the OpenAI Chat Node. The files will be read by the OpenAI model when generating responses. Multiple input file nodes can be chained together to include multiple files in a single message. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `file` | COMBO | Yes | Multiple options available | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than 32MB. | +| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | No | N/A | An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files. | + +**File Constraints:** + +- Only .txt and .pdf files are supported +- Maximum file size: 32MB +- Files are loaded from the input directory + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | Formatted input files ready to be used as context for OpenAI API calls. | diff --git a/built-in-nodes/OpenAIVideoSora2.mdx b/built-in-nodes/OpenAIVideoSora2.mdx new file mode 100644 index 000000000..48940ffbd --- /dev/null +++ b/built-in-nodes/OpenAIVideoSora2.mdx @@ -0,0 +1,32 @@ +--- +title: "OpenAIVideoSora2 - ComfyUI Built-in Node Documentation" +description: "The OpenAIVideoSora2 node generates videos using OpenAI's Sora models. It creates video content based on text prompts and optional input images, then returns the generated video output. The node su..." +sidebarTitle: "OpenAIVideoSora2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md) + +The OpenAIVideoSora2 node generates videos using OpenAI's Sora models. It creates video content based on text prompts and optional input images, then returns the generated video output. The node supports different video durations and resolutions depending on the selected model. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | "sora-2"
"sora-2-pro" | The OpenAI Sora model to use for video generation (default: "sora-2") | +| `prompt` | STRING | Yes | - | Guiding text; may be empty if an input image is present (default: empty) | +| `size` | COMBO | Yes | "720x1280"
"1280x720"
"1024x1792"
"1792x1024" | The resolution for the generated video (default: "1280x720") | +| `duration` | COMBO | Yes | 4
8
12 | The duration of the generated video in seconds (default: 8) | +| `image` | IMAGE | No | - | Optional input image for video generation | +| `seed` | INT | No | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | + +**Constraints and Limitations:** + +- The "sora-2" model only supports "720x1280" and "1280x720" resolutions +- Only one input image is supported when using the image parameter +- Results are nondeterministic regardless of the seed value + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video output | diff --git a/built-in-nodes/OptimalStepsScheduler.mdx b/built-in-nodes/OptimalStepsScheduler.mdx new file mode 100644 index 000000000..8f84d69c2 --- /dev/null +++ b/built-in-nodes/OptimalStepsScheduler.mdx @@ -0,0 +1,25 @@ +--- +title: "OptimalStepsScheduler - ComfyUI Built-in Node Documentation" +description: "The OptimalStepsScheduler node calculates noise schedule sigmas for diffusion models based on the selected model type and step configuration. It adjusts the total number of steps according to the d..." +sidebarTitle: "OptimalStepsScheduler" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OptimalStepsScheduler/en.md) + +The OptimalStepsScheduler node calculates noise schedule sigmas for diffusion models based on the selected model type and step configuration. It adjusts the total number of steps according to the denoise parameter and interpolates the noise levels to match the requested step count. The node returns a sequence of sigma values that determine the noise levels used during the diffusion sampling process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_type` | COMBO | Yes | "FLUX"
"Wan"
"Chroma" | The type of diffusion model to use for noise level calculation | +| `steps` | INT | Yes | 3-1000 | The total number of sampling steps to calculate (default: 20) | +| `denoise` | FLOAT | No | 0.0-1.0 | Controls the denoising strength, which adjusts the effective number of steps (default: 1.0) | + +**Note:** When `denoise` is set to less than 1.0, the node calculates the effective steps as `steps * denoise`. If `denoise` is set to 0.0, the node returns an empty tensor. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sigmas` | SIGMAS | A sequence of sigma values representing the noise schedule for diffusion sampling | diff --git a/built-in-nodes/PairConditioningCombine.mdx b/built-in-nodes/PairConditioningCombine.mdx new file mode 100644 index 000000000..ea2143752 --- /dev/null +++ b/built-in-nodes/PairConditioningCombine.mdx @@ -0,0 +1,25 @@ +--- +title: "PairConditioningCombine - ComfyUI Built-in Node Documentation" +description: "The PairConditioningCombine node combines two pairs of conditioning data (positive and negative) into a single pair. It takes two separate conditioning pairs as input and merges them using ComfyUI'..." +sidebarTitle: "PairConditioningCombine" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningCombine/en.md) + +The PairConditioningCombine node combines two pairs of conditioning data (positive and negative) into a single pair. It takes two separate conditioning pairs as input and merges them using ComfyUI's internal conditioning combination logic. This node is experimental and primarily used for advanced conditioning manipulation workflows. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive_A` | CONDITIONING | Yes | - | First positive conditioning input | +| `negative_A` | CONDITIONING | Yes | - | First negative conditioning input | +| `positive_B` | CONDITIONING | Yes | - | Second positive conditioning input | +| `negative_B` | CONDITIONING | Yes | - | Second negative conditioning input | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Combined positive conditioning output | +| `negative` | CONDITIONING | Combined negative conditioning output | diff --git a/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx b/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx new file mode 100644 index 000000000..77722b4fb --- /dev/null +++ b/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx @@ -0,0 +1,26 @@ +--- +title: "PairConditioningSetDefaultAndCombine - ComfyUI Built-in Node Documentation" +description: "The PairConditioningSetDefaultAndCombine node sets default conditioning values and combines them with input conditioning data. It takes positive and negative conditioning inputs along with their de..." +sidebarTitle: "PairConditioningSetDefaultAndCombine" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetDefaultAndCombine/en.md) + +The PairConditioningSetDefaultAndCombine node sets default conditioning values and combines them with input conditioning data. It takes positive and negative conditioning inputs along with their default counterparts, then processes them through ComfyUI's hook system to produce final conditioning outputs that incorporate the default values. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The primary positive conditioning input to be processed | +| `negative` | CONDITIONING | Yes | - | The primary negative conditioning input to be processed | +| `positive_DEFAULT` | CONDITIONING | Yes | - | The default positive conditioning values to be used as fallback | +| `negative_DEFAULT` | CONDITIONING | Yes | - | The default negative conditioning values to be used as fallback | +| `hooks` | HOOKS | No | - | Optional hook group for custom processing logic | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The processed positive conditioning with default values incorporated | +| `negative` | CONDITIONING | The processed negative conditioning with default values incorporated | diff --git a/built-in-nodes/PairConditioningSetProperties.mdx b/built-in-nodes/PairConditioningSetProperties.mdx new file mode 100644 index 000000000..0e31e9810 --- /dev/null +++ b/built-in-nodes/PairConditioningSetProperties.mdx @@ -0,0 +1,28 @@ +--- +title: "PairConditioningSetProperties - ComfyUI Built-in Node Documentation" +description: "The PairConditioningSetProperties node allows you to modify the properties of both positive and negative conditioning pairs simultaneously. It applies strength adjustments, conditioning area settin..." +sidebarTitle: "PairConditioningSetProperties" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetProperties/en.md) + +The PairConditioningSetProperties node allows you to modify the properties of both positive and negative conditioning pairs simultaneously. It applies strength adjustments, conditioning area settings, and optional masking or timing controls to both conditioning inputs, returning the modified positive and negative conditioning data. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive_NEW` | CONDITIONING | Yes | - | The positive conditioning input to modify | +| `negative_NEW` | CONDITIONING | Yes | - | The negative conditioning input to modify | +| `strength` | FLOAT | Yes | 0.0 to 10.0 | The strength multiplier applied to the conditioning (default: 1.0) | +| `set_cond_area` | STRING | Yes | "default"
"mask bounds" | Determines how the conditioning area is calculated | +| `mask` | MASK | No | - | Optional mask to constrain the conditioning area | +| `hooks` | HOOKS | No | - | Optional hook group for advanced conditioning modifications | +| `timesteps` | TIMESTEPS_RANGE | No | - | Optional timestep range to limit when conditioning is applied | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The modified positive conditioning with applied properties | +| `negative` | CONDITIONING | The modified negative conditioning with applied properties | diff --git a/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx b/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx new file mode 100644 index 000000000..04438c65b --- /dev/null +++ b/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx @@ -0,0 +1,30 @@ +--- +title: "PairConditioningSetPropertiesAndCombine - ComfyUI Built-in Node Documentation" +description: "The PairConditioningSetPropertiesAndCombine node modifies and combines conditioning pairs by applying new conditioning data to existing positive and negative conditioning inputs. It allows you to a..." +sidebarTitle: "PairConditioningSetPropertiesAndCombine" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetPropertiesAndCombine/en.md) + +The PairConditioningSetPropertiesAndCombine node modifies and combines conditioning pairs by applying new conditioning data to existing positive and negative conditioning inputs. It allows you to adjust the strength of the applied conditioning and control how the conditioning area is set. This node is particularly useful for advanced conditioning manipulation workflows where you need to blend multiple conditioning sources together. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The original positive conditioning input | +| `negative` | CONDITIONING | Yes | - | The original negative conditioning input | +| `positive_NEW` | CONDITIONING | Yes | - | The new positive conditioning to apply | +| `negative_NEW` | CONDITIONING | Yes | - | The new negative conditioning to apply | +| `strength` | FLOAT | Yes | 0.0 to 10.0 | The strength factor for applying the new conditioning (default: 1.0) | +| `set_cond_area` | STRING | Yes | "default"
"mask bounds" | Controls how the conditioning area is applied | +| `mask` | MASK | No | - | Optional mask to constrain the conditioning application area | +| `hooks` | HOOKS | No | - | Optional hook group for advanced control | +| `timesteps` | TIMESTEPS_RANGE | No | - | Optional timestep range specification | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The combined positive conditioning output | +| `negative` | CONDITIONING | The combined negative conditioning output | diff --git a/built-in-nodes/PatchModelAddDownscale.mdx b/built-in-nodes/PatchModelAddDownscale.mdx new file mode 100644 index 000000000..408fe2dc7 --- /dev/null +++ b/built-in-nodes/PatchModelAddDownscale.mdx @@ -0,0 +1,28 @@ +--- +title: "PatchModelAddDownscale - ComfyUI Built-in Node Documentation" +description: "The PatchModelAddDownscale node implements Kohya Deep Shrink functionality by applying downscaling and upscaling operations to specific blocks in a model. It reduces the resolution of intermediate ..." +sidebarTitle: "PatchModelAddDownscale" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PatchModelAddDownscale/en.md) + +The PatchModelAddDownscale node implements Kohya Deep Shrink functionality by applying downscaling and upscaling operations to specific blocks in a model. It reduces the resolution of intermediate features during processing and then restores them to their original size, which can improve performance while maintaining quality. The node allows precise control over when and how these scaling operations occur during the model's execution. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply the downscale patch to | +| `block_number` | INT | No | 1-32 | The specific block number where downscaling will be applied (default: 3) | +| `downscale_factor` | FLOAT | No | 0.1-9.0 | The factor by which to downscale the features (default: 2.0) | +| `start_percent` | FLOAT | No | 0.0-1.0 | The starting point in the denoising process where downscaling begins (default: 0.0) | +| `end_percent` | FLOAT | No | 0.0-1.0 | The ending point in the denoising process where downscaling stops (default: 0.35) | +| `downscale_after_skip` | BOOLEAN | No | - | Whether to apply downscaling after skip connections (default: True) | +| `downscale_method` | COMBO | No | "bicubic"
"nearest-exact"
"bilinear"
"area"
"bislerp" | The interpolation method used for downscaling operations | +| `upscale_method` | COMBO | No | "bicubic"
"nearest-exact"
"bilinear"
"area"
"bislerp" | The interpolation method used for upscaling operations | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with downscale patch applied | diff --git a/built-in-nodes/PerpNeg.mdx b/built-in-nodes/PerpNeg.mdx new file mode 100644 index 000000000..f90fc041a --- /dev/null +++ b/built-in-nodes/PerpNeg.mdx @@ -0,0 +1,25 @@ +--- +title: "PerpNeg - ComfyUI Built-in Node Documentation" +description: "The PerpNeg node applies perpendicular negative guidance to a model's sampling process. This node modifies the model's configuration function to adjust noise predictions using negative conditioning..." +sidebarTitle: "PerpNeg" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNeg/en.md) + +The PerpNeg node applies perpendicular negative guidance to a model's sampling process. This node modifies the model's configuration function to adjust noise predictions using negative conditioning and scaling factors. It has been deprecated and replaced by the PerpNegGuider node for improved functionality. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply perpendicular negative guidance to | +| `empty_conditioning` | CONDITIONING | Yes | - | Empty conditioning used for negative guidance calculations | +| `neg_scale` | FLOAT | No | 0.0 - 100.0 | Scaling factor for negative guidance (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with perpendicular negative guidance applied | + +**Note**: This node is deprecated and has been replaced by PerpNegGuider. It is marked as experimental and should not be used in production workflows. diff --git a/built-in-nodes/PerpNegGuider.mdx b/built-in-nodes/PerpNegGuider.mdx new file mode 100644 index 000000000..784d04ec0 --- /dev/null +++ b/built-in-nodes/PerpNegGuider.mdx @@ -0,0 +1,26 @@ +--- +title: "PerpNegGuider - ComfyUI Built-in Node Documentation" +description: "The PerpNegGuider node creates a guidance system for controlling image generation using perpendicular negative conditioning. It takes positive, negative, and empty conditioning inputs and applies a..." +sidebarTitle: "PerpNegGuider" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNegGuider/en.md) + +The PerpNegGuider node creates a guidance system for controlling image generation using perpendicular negative conditioning. It takes positive, negative, and empty conditioning inputs and applies a specialized guidance algorithm to steer the generation process. This node is designed for testing purposes and provides fine control over the guidance strength and negative scaling. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to use for guidance generation | +| `positive` | CONDITIONING | Yes | - | The positive conditioning that guides the generation toward desired content | +| `negative` | CONDITIONING | Yes | - | The negative conditioning that guides the generation away from unwanted content | +| `empty_conditioning` | CONDITIONING | Yes | - | The empty or neutral conditioning used as a baseline reference | +| `cfg` | FLOAT | No | 0.0 - 100.0 | The classifier-free guidance scale that controls how strongly the conditioning influences the generation (default: 8.0) | +| `neg_scale` | FLOAT | No | 0.0 - 100.0 | The negative scaling factor that adjusts the strength of negative conditioning (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `guider` | GUIDER | A configured guidance system ready for use in the generation pipeline | diff --git a/built-in-nodes/PerturbedAttentionGuidance.mdx b/built-in-nodes/PerturbedAttentionGuidance.mdx new file mode 100644 index 000000000..8a42f760f --- /dev/null +++ b/built-in-nodes/PerturbedAttentionGuidance.mdx @@ -0,0 +1,22 @@ +--- +title: "PerturbedAttentionGuidance - ComfyUI Built-in Node Documentation" +description: "The PerturbedAttentionGuidance node applies perturbed attention guidance to a diffusion model to enhance generation quality. It modifies the model's self-attention mechanism during sampling by repl..." +sidebarTitle: "PerturbedAttentionGuidance" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/en.md) + +The PerturbedAttentionGuidance node applies perturbed attention guidance to a diffusion model to enhance generation quality. It modifies the model's self-attention mechanism during sampling by replacing it with a simplified version that focuses on value projections. This technique helps improve the coherence and quality of generated images by adjusting the conditional denoising process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to apply perturbed attention guidance to | +| `scale` | FLOAT | No | 0.0 - 100.0 | The strength of the perturbed attention guidance effect (default: 3.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with perturbed attention guidance applied | diff --git a/built-in-nodes/PhotoMakerEncode.mdx b/built-in-nodes/PhotoMakerEncode.mdx new file mode 100644 index 000000000..34de35e1e --- /dev/null +++ b/built-in-nodes/PhotoMakerEncode.mdx @@ -0,0 +1,26 @@ +--- +title: "PhotoMakerEncode - ComfyUI Built-in Node Documentation" +description: "The PhotoMakerEncode node processes images and text to generate conditioning data for AI image generation. It takes a reference image and text prompt, then creates embeddings that can be used to gu..." +sidebarTitle: "PhotoMakerEncode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerEncode/en.md) + +The PhotoMakerEncode node processes images and text to generate conditioning data for AI image generation. It takes a reference image and text prompt, then creates embeddings that can be used to guide image generation based on the visual characteristics of the reference image. The node specifically looks for the "photomaker" token in the text to determine where to apply the image-based conditioning. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `photomaker` | PHOTOMAKER | Yes | - | The PhotoMaker model used for processing the image and generating embeddings | +| `image` | IMAGE | Yes | - | The reference image that provides visual characteristics for conditioning | +| `clip` | CLIP | Yes | - | The CLIP model used for text tokenization and encoding | +| `text` | STRING | Yes | - | The text prompt for conditioning generation (default: "photograph of photomaker") | + +**Note:** When the text contains the word "photomaker", the node applies image-based conditioning at that position in the prompt. If "photomaker" is not found in the text, the node generates standard text conditioning without image influence. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The conditioning data containing image and text embeddings for guiding image generation | diff --git a/built-in-nodes/PhotoMakerLoader.mdx b/built-in-nodes/PhotoMakerLoader.mdx new file mode 100644 index 000000000..4ee05c18b --- /dev/null +++ b/built-in-nodes/PhotoMakerLoader.mdx @@ -0,0 +1,21 @@ +--- +title: "PhotoMakerLoader - ComfyUI Built-in Node Documentation" +description: "The PhotoMakerLoader node loads a PhotoMaker model from the available model files. It reads the specified model file and prepares the PhotoMaker ID encoder for use in identity-based image generatio..." +sidebarTitle: "PhotoMakerLoader" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerLoader/en.md) + +The PhotoMakerLoader node loads a PhotoMaker model from the available model files. It reads the specified model file and prepares the PhotoMaker ID encoder for use in identity-based image generation tasks. This node is marked as experimental and is intended for testing purposes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `photomaker_model_name` | STRING | Yes | Multiple options available | The name of the PhotoMaker model file to load. The available options are determined by the model files present in the photomaker folder. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `photomaker_model` | PHOTOMAKER | The loaded PhotoMaker model containing the ID encoder, ready for use in identity encoding operations. | diff --git a/built-in-nodes/PikaImageToVideoNode2_2.mdx b/built-in-nodes/PikaImageToVideoNode2_2.mdx new file mode 100644 index 000000000..c15869d85 --- /dev/null +++ b/built-in-nodes/PikaImageToVideoNode2_2.mdx @@ -0,0 +1,26 @@ +--- +title: "PikaImageToVideoNode2_2 - ComfyUI Built-in Node Documentation" +description: "The Pika Image to Video node sends an image and text prompt to the Pika API version 2.2 to generate a video. It converts your input image into video format based on the provided description and set..." +sidebarTitle: "PikaImageToVideoNode2_2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaImageToVideoNode2_2/en.md) + +The Pika Image to Video node sends an image and text prompt to the Pika API version 2.2 to generate a video. It converts your input image into video format based on the provided description and settings. The node handles the API communication and returns the generated video as output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The image to convert to video | +| `prompt_text` | STRING | Yes | - | The text description guiding video generation | +| `negative_prompt` | STRING | Yes | - | Text describing what to avoid in the video | +| `seed` | INT | Yes | - | Random seed value for reproducible results | +| `resolution` | STRING | Yes | - | Output video resolution setting | +| `duration` | INT | Yes | - | Length of the generated video in seconds | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file | diff --git a/built-in-nodes/PikaScenesV2_2.mdx b/built-in-nodes/PikaScenesV2_2.mdx new file mode 100644 index 000000000..c197e996f --- /dev/null +++ b/built-in-nodes/PikaScenesV2_2.mdx @@ -0,0 +1,34 @@ +--- +title: "PikaScenesV2_2 - ComfyUI Built-in Node Documentation" +description: "The PikaScenes v2.2 node combines multiple images to create a video that incorporates objects from all the input images. You can upload up to five different images as ingredients and generate a hig..." +sidebarTitle: "PikaScenesV2_2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaScenesV2_2/en.md) + +The PikaScenes v2.2 node combines multiple images to create a video that incorporates objects from all the input images. You can upload up to five different images as ingredients and generate a high-quality video that blends them together seamlessly. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt_text` | STRING | Yes | - | Text description of what to generate | +| `negative_prompt` | STRING | Yes | - | Text description of what to avoid in the generation | +| `seed` | INT | Yes | - | Random seed value for generation | +| `resolution` | STRING | Yes | - | Output resolution for the video | +| `duration` | INT | Yes | - | Duration of the generated video | +| `ingredients_mode` | COMBO | No | "creative"
"precise" | Mode for combining ingredients (default: "creative") | +| `aspect_ratio` | FLOAT | No | 0.4 - 2.5 | Aspect ratio (width / height) (default: 1.778) | +| `image_ingredient_1` | IMAGE | No | - | Image that will be used as ingredient to create a video | +| `image_ingredient_2` | IMAGE | No | - | Image that will be used as ingredient to create a video | +| `image_ingredient_3` | IMAGE | No | - | Image that will be used as ingredient to create a video | +| `image_ingredient_4` | IMAGE | No | - | Image that will be used as ingredient to create a video | +| `image_ingredient_5` | IMAGE | No | - | Image that will be used as ingredient to create a video | + +**Note:** You can provide up to 5 image ingredients, but at least one image is required to generate a video. The node will use all provided images to create the final video composition. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video combining all input images | diff --git a/built-in-nodes/PikaStartEndFrameNode2_2.mdx b/built-in-nodes/PikaStartEndFrameNode2_2.mdx new file mode 100644 index 000000000..f95fb07b6 --- /dev/null +++ b/built-in-nodes/PikaStartEndFrameNode2_2.mdx @@ -0,0 +1,27 @@ +--- +title: "PikaStartEndFrameNode2_2 - ComfyUI Built-in Node Documentation" +description: "The PikaFrames v2.2 Node generates videos by combining your first and last frame. You upload two images to define the start and end points, and the AI creates a smooth transition between them to pr..." +sidebarTitle: "PikaStartEndFrameNode2_2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaStartEndFrameNode2_2/en.md) + +The PikaFrames v2.2 Node generates videos by combining your first and last frame. You upload two images to define the start and end points, and the AI creates a smooth transition between them to produce a complete video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image_start` | IMAGE | Yes | - | The first image to combine. | +| `image_end` | IMAGE | Yes | - | The last image to combine. | +| `prompt_text` | STRING | Yes | - | Text prompt describing the desired video content. | +| `negative_prompt` | STRING | Yes | - | Text describing what to avoid in the video. | +| `seed` | INT | Yes | - | Random seed value for generation consistency. | +| `resolution` | STRING | Yes | - | Output video resolution. | +| `duration` | INT | Yes | - | Duration of the generated video. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video combining the start and end frames with AI transitions. | diff --git a/built-in-nodes/PikaTextToVideoNode2_2.mdx b/built-in-nodes/PikaTextToVideoNode2_2.mdx new file mode 100644 index 000000000..00583fa3c --- /dev/null +++ b/built-in-nodes/PikaTextToVideoNode2_2.mdx @@ -0,0 +1,26 @@ +--- +title: "PikaTextToVideoNode2_2 - ComfyUI Built-in Node Documentation" +description: "The Pika Text2Video v2.2 Node sends a text prompt to the Pika API version 2.2 to generate a video. It converts your text description into a video using Pika's AI video generation service. The node ..." +sidebarTitle: "PikaTextToVideoNode2_2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaTextToVideoNode2_2/en.md) + +The Pika Text2Video v2.2 Node sends a text prompt to the Pika API version 2.2 to generate a video. It converts your text description into a video using Pika's AI video generation service. The node allows you to customize various aspects of the video generation process including aspect ratio, duration, and resolution. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt_text` | STRING | Yes | - | The main text description that describes what you want to generate in the video | +| `negative_prompt` | STRING | Yes | - | Text describing what you don't want to appear in the generated video | +| `seed` | INT | Yes | - | A number that controls the randomness of the generation for reproducible results | +| `resolution` | STRING | Yes | - | The resolution setting for the output video | +| `duration` | INT | Yes | - | The length of the video in seconds | +| `aspect_ratio` | FLOAT | No | 0.4 - 2.5 | Aspect ratio (width / height) (default: 1.7777777777777777) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file returned from the Pika API | diff --git a/built-in-nodes/Pikadditions.mdx b/built-in-nodes/Pikadditions.mdx new file mode 100644 index 000000000..1233fdcd8 --- /dev/null +++ b/built-in-nodes/Pikadditions.mdx @@ -0,0 +1,25 @@ +--- +title: "Pikadditions - ComfyUI Built-in Node Documentation" +description: "The Pikadditions node allows you to add any object or image into your video. You upload a video and specify what you'd like to add to create a seamlessly integrated result. This node uses the Pika ..." +sidebarTitle: "Pikadditions" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikadditions/en.md) + +The Pikadditions node allows you to add any object or image into your video. You upload a video and specify what you'd like to add to create a seamlessly integrated result. This node uses the Pika API to insert images into videos with natural-looking integration. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | - | The video to add an image to. | +| `image` | IMAGE | Yes | - | The image to add to the video. | +| `prompt_text` | STRING | Yes | - | Text description of what to add to the video. | +| `negative_prompt` | STRING | Yes | - | Text description of what to avoid in the video. | +| `seed` | INT | Yes | 0 to 4294967295 | Random seed value for reproducible results. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The processed video with the image inserted. | diff --git a/built-in-nodes/Pikaffects.mdx b/built-in-nodes/Pikaffects.mdx new file mode 100644 index 000000000..3eba1d846 --- /dev/null +++ b/built-in-nodes/Pikaffects.mdx @@ -0,0 +1,25 @@ +--- +title: "Pikaffects - ComfyUI Built-in Node Documentation" +description: "The Pikaffects node generates videos with various visual effects applied to an input image. It uses Pika's video generation API to transform static images into animated videos with specific effects..." +sidebarTitle: "Pikaffects" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaffects/en.md) + +The Pikaffects node generates videos with various visual effects applied to an input image. It uses Pika's video generation API to transform static images into animated videos with specific effects like melting, exploding, or levitating. The node requires an API key and authentication token to access the Pika service. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The reference image to apply the Pikaffect to. | +| `pikaffect` | COMBO | Yes | "Cake-ify"
"Crumble"
"Crush"
"Decapitate"
"Deflate"
"Dissolve"
"Explode"
"Eye-pop"
"Inflate"
"Levitate"
"Melt"
"Peel"
"Poke"
"Squish"
"Ta-da"
"Tear" | The specific visual effect to apply to the image (default: "Cake-ify"). | +| `prompt_text` | STRING | Yes | - | Text description guiding the video generation. | +| `negative_prompt` | STRING | Yes | - | Text description of what to avoid in the generated video. | +| `seed` | INT | Yes | 0 to 4294967295 | Random seed value for reproducible results. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video with the applied Pikaffect. | diff --git a/built-in-nodes/Pikaswaps.mdx b/built-in-nodes/Pikaswaps.mdx new file mode 100644 index 000000000..708d6e5a9 --- /dev/null +++ b/built-in-nodes/Pikaswaps.mdx @@ -0,0 +1,28 @@ +--- +title: "Pikaswaps - ComfyUI Built-in Node Documentation" +description: "The Pika Swaps node allows you to replace objects or regions in your video with new images. You can define the areas to replace using either a mask or coordinates, and the node will seamlessly swap..." +sidebarTitle: "Pikaswaps" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaswaps/en.md) + +The Pika Swaps node allows you to replace objects or regions in your video with new images. You can define the areas to replace using either a mask or coordinates, and the node will seamlessly swap the specified content throughout the video sequence. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | - | The video to swap an object in. | +| `image` | IMAGE | Yes | - | The image used to replace the masked object in the video. | +| `mask` | MASK | Yes | - | Use the mask to define areas in the video to replace. | +| `prompt_text` | STRING | Yes | - | Text prompt describing the desired replacement. | +| `negative_prompt` | STRING | Yes | - | Text prompt describing what to avoid in the replacement. | +| `seed` | INT | Yes | 0 to 4294967295 | Random seed value for consistent results. | + +**Note:** This node requires all input parameters to be provided. The `video`, `image`, and `mask` work together to define the replacement operation, where the mask specifies which areas of the video will be replaced with the provided image. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The processed video with the specified object or region replaced. | diff --git a/built-in-nodes/PixverseImageToVideoNode.mdx b/built-in-nodes/PixverseImageToVideoNode.mdx new file mode 100644 index 000000000..0a3202464 --- /dev/null +++ b/built-in-nodes/PixverseImageToVideoNode.mdx @@ -0,0 +1,30 @@ +--- +title: "PixverseImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Generates videos based on an input image and text prompt. This node takes an image and creates an animated video by applying the specified motion and quality settings to transform the static image ..." +sidebarTitle: "PixverseImageToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md) + +Generates videos based on an input image and text prompt. This node takes an image and creates an animated video by applying the specified motion and quality settings to transform the static image into a moving sequence. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | Input image to transform into video | +| `prompt` | STRING | Yes | - | Prompt for the video generation | +| `quality` | COMBO | Yes | `res_540p`
`res_1080p` | Video quality setting (default: res_540p) | +| `duration_seconds` | COMBO | Yes | `dur_2`
`dur_5`
`dur_10` | Duration of the generated video in seconds | +| `motion_mode` | COMBO | Yes | `normal`
`fast`
`slow`
`zoom_in`
`zoom_out`
`pan_left`
`pan_right`
`pan_up`
`pan_down`
`tilt_up`
`tilt_down`
`roll_clockwise`
`roll_counterclockwise` | Motion style applied to the video generation | +| `seed` | INT | Yes | 0-2147483647 | Seed for video generation (default: 0) | +| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image | +| `pixverse_template` | CUSTOM | No | - | An optional template to influence style of generation, created by the PixVerse Template node | + +**Note:** When using 1080p quality, the motion mode is automatically set to normal and duration is limited to 5 seconds. For durations other than 5 seconds, the motion mode is also automatically set to normal. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | Generated video based on the input image and parameters | diff --git a/built-in-nodes/PixverseTemplateNode.mdx b/built-in-nodes/PixverseTemplateNode.mdx new file mode 100644 index 000000000..b460f6b77 --- /dev/null +++ b/built-in-nodes/PixverseTemplateNode.mdx @@ -0,0 +1,21 @@ +--- +title: "PixverseTemplateNode - ComfyUI Built-in Node Documentation" +description: "The PixVerse Template node allows you to select from available templates for PixVerse video generation. It converts your selected template name into the corresponding template ID that the PixVerse ..." +sidebarTitle: "PixverseTemplateNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md) + +The PixVerse Template node allows you to select from available templates for PixVerse video generation. It converts your selected template name into the corresponding template ID that the PixVerse API requires for video creation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `template` | STRING | Yes | Multiple options available | The template to use for PixVerse video generation. The available options correspond to predefined templates in the PixVerse system. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `pixverse_template` | INT | The template ID corresponding to the selected template name, which can be used by other PixVerse nodes for video generation. | diff --git a/built-in-nodes/PixverseTextToVideoNode.mdx b/built-in-nodes/PixverseTextToVideoNode.mdx new file mode 100644 index 000000000..7024767ca --- /dev/null +++ b/built-in-nodes/PixverseTextToVideoNode.mdx @@ -0,0 +1,30 @@ +--- +title: "PixverseTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Generates videos based on prompt and output_size. This node creates video content using text descriptions and various generation parameters, producing video output through the PixVerse API." +sidebarTitle: "PixverseTextToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md) + +Generates videos based on prompt and output_size. This node creates video content using text descriptions and various generation parameters, producing video output through the PixVerse API. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Prompt for the video generation (default: "") | +| `aspect_ratio` | COMBO | Yes | Options from PixverseAspectRatio | Aspect ratio for the generated video | +| `quality` | COMBO | Yes | Options from PixverseQuality | Video quality setting (default: PixverseQuality.res_540p) | +| `duration_seconds` | COMBO | Yes | Options from PixverseDuration | Duration of the generated video in seconds | +| `motion_mode` | COMBO | Yes | Options from PixverseMotionMode | Motion style for the video generation | +| `seed` | INT | Yes | 0 to 2147483647 | Seed for video generation (default: 0) | +| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: "") | +| `pixverse_template` | CUSTOM | No | - | An optional template to influence style of generation, created by the PixVerse Template node | + +**Note:** When using 1080p quality, the motion mode is automatically set to normal and duration is limited to 5 seconds. For non-5 second durations, the motion mode is also automatically set to normal. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file | diff --git a/built-in-nodes/PixverseTransitionVideoNode.mdx b/built-in-nodes/PixverseTransitionVideoNode.mdx new file mode 100644 index 000000000..3c47d1387 --- /dev/null +++ b/built-in-nodes/PixverseTransitionVideoNode.mdx @@ -0,0 +1,30 @@ +--- +title: "PixverseTransitionVideoNode - ComfyUI Built-in Node Documentation" +description: "Generates videos based on prompt and output_size. This node creates transition videos between two input images using the PixVerse API, allowing you to specify the video quality, duration, motion st..." +sidebarTitle: "PixverseTransitionVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md) + +Generates videos based on prompt and output_size. This node creates transition videos between two input images using the PixVerse API, allowing you to specify the video quality, duration, motion style, and generation parameters. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `first_frame` | IMAGE | Yes | - | The starting image for the video transition | +| `last_frame` | IMAGE | Yes | - | The ending image for the video transition | +| `prompt` | STRING | Yes | - | Prompt for the video generation (default: empty string) | +| `quality` | COMBO | Yes | Available quality options from PixverseQuality enum
Default: res_540p | Video quality setting | +| `duration_seconds` | COMBO | Yes | Available duration options from PixverseDuration enum | Video duration in seconds | +| `motion_mode` | COMBO | Yes | Available motion mode options from PixverseMotionMode enum | Motion style for the transition | +| `seed` | INT | Yes | 0 to 2147483647 | Seed for video generation (default: 0) | +| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: empty string) | + +**Note:** When using 1080p quality, the motion mode is automatically set to normal and duration is limited to 5 seconds. For non-5 second durations, the motion mode is also automatically set to normal. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated transition video | diff --git a/built-in-nodes/PolyexponentialScheduler.mdx b/built-in-nodes/PolyexponentialScheduler.mdx new file mode 100644 index 000000000..da32e6350 --- /dev/null +++ b/built-in-nodes/PolyexponentialScheduler.mdx @@ -0,0 +1,23 @@ +--- +title: "PolyexponentialScheduler - ComfyUI Built-in Node Documentation" +description: "The PolyexponentialScheduler node is designed to generate a sequence of noise levels (sigmas) based on a polyexponential noise schedule. This schedule is a polynomial function in the logarithm of s..." +sidebarTitle: "PolyexponentialScheduler" +icon: "circle" +--- + +The PolyexponentialScheduler node is designed to generate a sequence of noise levels (sigmas) based on a polyexponential noise schedule. This schedule is a polynomial function in the logarithm of sigma, allowing for a flexible and customizable progression of noise levels throughout the diffusion process. + +## Inputs + +| Parameter | Data Type | Description | +|-------------|-------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| `steps` | INT | Specifies the number of steps in the diffusion process, affecting the granularity of the generated noise levels. | +| `sigma_max` | FLOAT | The maximum noise level, setting the upper bound of the noise schedule. | +| `sigma_min` | FLOAT | The minimum noise level, setting the lower bound of the noise schedule. | +| `rho` | FLOAT | A parameter that controls the shape of the polyexponential noise schedule, influencing how noise levels progress between the minimum and maximum values. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-----------------------------------------------------------------------------| +| `sigmas` | SIGMAS | The output is a sequence of noise levels (sigmas) tailored to the specified polyexponential noise schedule. | diff --git a/built-in-nodes/PorterDuffImageComposite.mdx b/built-in-nodes/PorterDuffImageComposite.mdx new file mode 100644 index 000000000..e3856a6db --- /dev/null +++ b/built-in-nodes/PorterDuffImageComposite.mdx @@ -0,0 +1,25 @@ +--- +title: "PorterDuffImageComposite - ComfyUI Built-in Node Documentation" +description: "The PorterDuffImageComposite node is designed to perform image compositing using the Porter-Duff compositing operators. It allows for the combination of source and destination images according to v..." +sidebarTitle: "PorterDuffImageComposite" +icon: "circle" +--- + +The PorterDuffImageComposite node is designed to perform image compositing using the Porter-Duff compositing operators. It allows for the combination of source and destination images according to various blending modes, enabling the creation of complex visual effects by manipulating image transparency and overlaying images in creative ways. + +## Inputs + +| Parameter | Data Type | Description | +| --------- | ------------ | ----------- | +| `source` | `IMAGE` | The source image tensor to be composited over the destination image. It plays a crucial role in determining the final visual outcome based on the selected compositing mode. | +| `source_alpha` | `MASK` | The alpha channel of the source image, which specifies the transparency of each pixel in the source image. It affects how the source image blends with the destination image. | +| `destination` | `IMAGE` | The destination image tensor that serves as the backdrop over which the source image is composited. It contributes to the final composited image based on the blending mode. | +| `destination_alpha` | `MASK` | The alpha channel of the destination image, defining the transparency of the destination image's pixels. It influences the blending of the source and destination images. | +| `mode` | COMBO[STRING] | The Porter-Duff compositing mode to apply, which determines how the source and destination images are blended together. Each mode creates different visual effects. | + +## Outputs + +| Parameter | Data Type | Description | +| --------- | ------------ | ----------- | +| `image` | `IMAGE` | The composited image resulting from the application of the specified Porter-Duff mode. | +| `mask` | `MASK` | The alpha channel of the composited image, indicating the transparency of each pixel. | diff --git a/built-in-nodes/Preview3D.mdx b/built-in-nodes/Preview3D.mdx new file mode 100644 index 000000000..7e929f6a8 --- /dev/null +++ b/built-in-nodes/Preview3D.mdx @@ -0,0 +1,107 @@ +--- +title: "Preview3D - ComfyUI Built-in Node Documentation" +description: "Preview3D node is mainly used to preview 3D model outputs. This node takes two inputs: one is the `camera_info` from the Load3D node, and the other is the path to the 3D model file. The model file ..." +sidebarTitle: "Preview3D" +icon: "circle" +--- +Preview3D node is mainly used to preview 3D model outputs. This node takes two inputs: one is the `camera_info` from the Load3D node, and the other is the path to the 3D model file. The model file path must be located in the `ComfyUI/output` folder. + +**Supported Formats** +Currently, this node supports multiple 3D file formats, including `.gltf`, `.glb`, `.obj`, `.fbx`, and `.stl`. + +**3D Node Preferences** +Some related preferences for 3D nodes can be configured in ComfyUI's settings menu. Please refer to the following documentation for corresponding settings: +[Settings Menu](https://docs.comfy.org/interface/settings/3d) + +## Inputs + +| Parameter Name | Type | Description | +| -------------- | -------------- | -------------------------------------------- | +| camera_info | LOAD3D_CAMERA | Camera information | +| model_file | LOAD3D_CAMERA | Model file path under `ComfyUI/output/` | + +## Canvas Area Description + +Currently, the 3D-related nodes in the ComfyUI frontend share the same canvas component, so their basic operations are mostly consistent except for some functional differences. + +> The following content and interface are mainly based on the Load3D node. Please refer to the actual node interface for specific features. + +The Canvas area includes various view operations, such as: + +- Preview view settings (grid, background color, preview view) +- Camera control: FOV, camera type +- Global illumination intensity: adjust lighting +- Model export: supports `GLB`, `OBJ`, `STL` formats +- etc. + +![Load 3D Node UI](/images/built-in-nodes/Preview3D/preview3d_canvas.jpg) + +1. Contains multiple menus and hidden menus of the Load 3D node +2. 3D view operation axis + +### 1. View Operations + + + +View control operations: + +- Left-click + drag: Rotate the view +- Right-click + drag: Pan the view +- Middle wheel scroll or middle-click + drag: Zoom in/out +- Coordinate axis: Switch views + +### 2. Left Menu Functions + +![Menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) + +In the preview area, some view operation menus are hidden in the menu. Click the menu button to expand different menus. + +- 1. Scene: Contains preview window grid, background color, thumbnail settings +- 2. Model: Model rendering mode, texture material, up direction settings +- 3. Camera: Switch between orthographic and perspective views, set perspective angle +- 4. Light: Scene global illumination intensity +- 5. Export: Export model to other formats (GLB, OBJ, STL) + +#### Scene + +![scene menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) + +The Scene menu provides some basic scene setting functions: + +1. Show/Hide grid +2. Set background color +3. Click to upload a background image +4. Hide preview thumbnail + +#### Model + +![Menu_Scene](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) + +The Model menu provides some model-related functions: + +1. **Up direction**: Determine which axis is the up direction for the model +2. **Material mode**: Switch model rendering modes - Original, Normal, Wireframe, Lineart + +#### Camera + +![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) + +This menu provides switching between orthographic and perspective views, and perspective angle size settings: + +1. **Camera**: Quickly switch between orthographic and perspective views +2. **FOV**: Adjust FOV angle + +#### Light + +![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) + +Through this menu, you can quickly adjust the scene's global illumination intensity + +#### Export + +![menu_export](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) + +This menu provides the ability to quickly convert and export model formats diff --git a/built-in-nodes/Preview3DAnimation.mdx b/built-in-nodes/Preview3DAnimation.mdx new file mode 100644 index 000000000..82ba188a4 --- /dev/null +++ b/built-in-nodes/Preview3DAnimation.mdx @@ -0,0 +1,107 @@ +--- +title: "Preview3DAnimation - ComfyUI Built-in Node Documentation" +description: "Preview3DAnimation node is mainly used to preview 3D model outputs. This node takes two inputs: one is the `camera_info` from the Load3D node, and the other is the path to the 3D model file. The mo..." +sidebarTitle: "Preview3DAnimation" +icon: "circle" +--- +Preview3DAnimation node is mainly used to preview 3D model outputs. This node takes two inputs: one is the `camera_info` from the Load3D node, and the other is the path to the 3D model file. The model file path must be located in the `ComfyUI/output` folder. + +**Supported Formats** +Currently, this node supports multiple 3D file formats, including `.gltf`, `.glb`, `.obj`, `.fbx`, and `.stl`. + +**3D Node Preferences** +Some related preferences for 3D nodes can be configured in ComfyUI's settings menu. Please refer to the following documentation for corresponding settings: +[Settings Menu](https://docs.comfy.org/interface/settings/3d) + +## Inputs + +| Parameter Name | Type | Description | +| -------------- | -------------- | -------------------------------------------- | +| camera_info | LOAD3D_CAMERA | Camera information | +| model_file | STRING | Model file path under `ComfyUI/output/` | + +## Canvas Area Description + +Currently, the 3D-related nodes in the ComfyUI frontend share the same canvas component, so their basic operations are mostly consistent except for some functional differences. + +> The following content and interface are mainly based on the Load3D node. Please refer to the actual node interface for specific features. + +The Canvas area includes various view operations, such as: + +- Preview view settings (grid, background color, preview view) +- Camera control: FOV, camera type +- Global illumination intensity: adjust lighting +- Model export: supports `GLB`, `OBJ`, `STL` formats +- etc. + +![Load 3D Node UI](/images/built-in-nodes/Preview3DAnimation/preview3d_canvas.jpg) + +1. Contains multiple menus and hidden menus of the Load 3D node +2. 3D view operation axis + +### 1. View Operations + + + +View control operations: + +- Left-click + drag: Rotate the view +- Right-click + drag: Pan the view +- Middle wheel scroll or middle-click + drag: Zoom in/out +- Coordinate axis: Switch views + +### 2. Left Menu Functions + +![Menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) + +In the preview area, some view operation menus are hidden in the menu. Click the menu button to expand different menus. + +- 1. Scene: Contains preview window grid, background color, thumbnail settings +- 2. Model: Model rendering mode, texture material, up direction settings +- 3. Camera: Switch between orthographic and perspective views, set perspective angle +- 4. Light: Scene global illumination intensity +- 5. Export: Export model to other formats (GLB, OBJ, STL) + +#### Scene + +![scene menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) + +The Scene menu provides some basic scene setting functions: + +1. Show/Hide grid +2. Set background color +3. Click to upload a background image +4. Hide preview thumbnail + +#### Model + +![Menu_Scene](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) + +The Model menu provides some model-related functions: + +1. **Up direction**: Determine which axis is the up direction for the model +2. **Material mode**: Switch model rendering modes - Original, Normal, Wireframe, Lineart + +#### Camera + +![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) + +This menu provides switching between orthographic and perspective views, and perspective angle size settings: + +1. **Camera**: Quickly switch between orthographic and perspective views +2. **FOV**: Adjust FOV angle + +#### Light + +![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) + +Through this menu, you can quickly adjust the scene's global illumination intensity + +#### Export + +![menu_export](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) + +This menu provides the ability to quickly convert and export model formats diff --git a/built-in-nodes/PreviewAny.mdx b/built-in-nodes/PreviewAny.mdx new file mode 100644 index 000000000..0f79d6c96 --- /dev/null +++ b/built-in-nodes/PreviewAny.mdx @@ -0,0 +1,21 @@ +--- +title: "PreviewAny - ComfyUI Built-in Node Documentation" +description: "The PreviewAny node displays a preview of any input data type in text format. It accepts any data type as input and converts it to a readable string representation for viewing. The node automatical..." +sidebarTitle: "PreviewAny" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAny/en.md) + +The PreviewAny node displays a preview of any input data type in text format. It accepts any data type as input and converts it to a readable string representation for viewing. The node automatically handles different data types including strings, numbers, booleans, and complex objects by attempting to serialize them to JSON format. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `source` | ANY | Yes | Any data type | Accepts any input data type for preview display | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| UI Text Display | TEXT | Displays the input data converted to text format in the user interface | diff --git a/built-in-nodes/PreviewAudio.mdx b/built-in-nodes/PreviewAudio.mdx new file mode 100644 index 000000000..53f8dac39 --- /dev/null +++ b/built-in-nodes/PreviewAudio.mdx @@ -0,0 +1,23 @@ +--- +title: "PreviewAudio - ComfyUI Built-in Node Documentation" +description: "The PreviewAudio node generates a temporary audio preview file that can be displayed in the interface. It inherits from SaveAudio but saves files to a temporary directory with a random filename pre..." +sidebarTitle: "PreviewAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAudio/en.md) + +The PreviewAudio node generates a temporary audio preview file that can be displayed in the interface. It inherits from SaveAudio but saves files to a temporary directory with a random filename prefix. This allows users to quickly preview audio outputs without creating permanent files. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | - | The audio data to preview | +| `prompt` | PROMPT | No | - | Hidden parameter for internal use | +| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Hidden parameter for internal use | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `ui` | UI | Displays the audio preview in the interface | diff --git a/built-in-nodes/PreviewImage.mdx b/built-in-nodes/PreviewImage.mdx new file mode 100644 index 000000000..1c997df61 --- /dev/null +++ b/built-in-nodes/PreviewImage.mdx @@ -0,0 +1,18 @@ +--- +title: "PreviewImage - ComfyUI Built-in Node Documentation" +description: "The PreviewImage node is designed for creating temporary preview images. It automatically generates a unique temporary file name for each image, compresses the image to a specified level, and saves..." +sidebarTitle: "PreviewImage" +icon: "circle" +--- + +The PreviewImage node is designed for creating temporary preview images. It automatically generates a unique temporary file name for each image, compresses the image to a specified level, and saves it to a temporary directory. This functionality is particularly useful for generating previews of images during processing without affecting the original files. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `images` | `IMAGE` | The 'images' input specifies the images to be processed and saved as temporary preview images. This is the primary input for the node, determining which images will undergo the preview generation process. | + +## Outputs + +The node doesn't have output types. diff --git a/built-in-nodes/PrimitiveBoolean.mdx b/built-in-nodes/PrimitiveBoolean.mdx new file mode 100644 index 000000000..efe53951e --- /dev/null +++ b/built-in-nodes/PrimitiveBoolean.mdx @@ -0,0 +1,21 @@ +--- +title: "PrimitiveBoolean - ComfyUI Built-in Node Documentation" +description: "The Boolean node provides a simple way to pass boolean (true/false) values through your workflow. It takes a boolean input value and outputs the same value unchanged, allowing you to control boolea..." +sidebarTitle: "PrimitiveBoolean" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoolean/en.md) + +The Boolean node provides a simple way to pass boolean (true/false) values through your workflow. It takes a boolean input value and outputs the same value unchanged, allowing you to control boolean parameters in other nodes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `value` | BOOLEAN | Yes | true
false | The boolean value to pass through the node | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | BOOLEAN | The same boolean value that was provided as input | diff --git a/built-in-nodes/PrimitiveBoundingBox.mdx b/built-in-nodes/PrimitiveBoundingBox.mdx new file mode 100644 index 000000000..dfaec9a13 --- /dev/null +++ b/built-in-nodes/PrimitiveBoundingBox.mdx @@ -0,0 +1,24 @@ +--- +title: "PrimitiveBoundingBox - ComfyUI Built-in Node Documentation" +description: "The PrimitiveBoundingBox node creates a simple rectangular area defined by its position and size. It takes X and Y coordinates for the top-left corner, along with width and height values, and outpu..." +sidebarTitle: "PrimitiveBoundingBox" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoundingBox/en.md) + +The PrimitiveBoundingBox node creates a simple rectangular area defined by its position and size. It takes X and Y coordinates for the top-left corner, along with width and height values, and outputs a bounding box data structure that can be used by other nodes in a workflow. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `x` | INT | No | 0 to 8192 | The X-coordinate for the top-left corner of the bounding box (default: 0). | +| `y` | INT | No | 0 to 8192 | The Y-coordinate for the top-left corner of the bounding box (default: 0). | +| `width` | INT | No | 1 to 8192 | The width of the bounding box (default: 512). | +| `height` | INT | No | 1 to 8192 | The height of the bounding box (default: 512). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `bounding_box` | BOUNDING_BOX | A data structure containing the `x`, `y`, `width`, and `height` properties of the defined rectangle. | diff --git a/built-in-nodes/PrimitiveFloat.mdx b/built-in-nodes/PrimitiveFloat.mdx new file mode 100644 index 000000000..b93e0a274 --- /dev/null +++ b/built-in-nodes/PrimitiveFloat.mdx @@ -0,0 +1,21 @@ +--- +title: "PrimitiveFloat - ComfyUI Built-in Node Documentation" +description: "The PrimitiveFloat node creates a floating-point number value that can be used in your workflow. It takes a single numeric input and outputs that same value, allowing you to define and pass float v..." +sidebarTitle: "PrimitiveFloat" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveFloat/en.md) + +The PrimitiveFloat node creates a floating-point number value that can be used in your workflow. It takes a single numeric input and outputs that same value, allowing you to define and pass float values between different nodes in your ComfyUI pipeline. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `value` | FLOAT | Yes | -sys.maxsize to sys.maxsize | The floating-point number value to output | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | FLOAT | The input floating-point number value | diff --git a/built-in-nodes/PrimitiveInt.mdx b/built-in-nodes/PrimitiveInt.mdx new file mode 100644 index 000000000..be56fdab2 --- /dev/null +++ b/built-in-nodes/PrimitiveInt.mdx @@ -0,0 +1,21 @@ +--- +title: "PrimitiveInt - ComfyUI Built-in Node Documentation" +description: "The PrimitiveInt node provides a simple way to work with integer values in your workflow. It takes an integer input and outputs the same value, making it useful for passing integer parameters betwe..." +sidebarTitle: "PrimitiveInt" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveInt/en.md) + +The PrimitiveInt node provides a simple way to work with integer values in your workflow. It takes an integer input and outputs the same value, making it useful for passing integer parameters between nodes or setting specific numeric values for other operations. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `value` | INT | Yes | -9223372036854775807 to 9223372036854775807 | The integer value to output | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | INT | The input integer value passed through unchanged | diff --git a/built-in-nodes/PrimitiveString.mdx b/built-in-nodes/PrimitiveString.mdx new file mode 100644 index 000000000..76f7794b5 --- /dev/null +++ b/built-in-nodes/PrimitiveString.mdx @@ -0,0 +1,21 @@ +--- +title: "PrimitiveString - ComfyUI Built-in Node Documentation" +description: "The String node provides a simple way to input and pass through text data in your workflow. It takes a text string as input and outputs the same string unchanged, making it useful for providing tex..." +sidebarTitle: "PrimitiveString" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveString/en.md) + +The String node provides a simple way to input and pass through text data in your workflow. It takes a text string as input and outputs the same string unchanged, making it useful for providing text inputs to other nodes that require string parameters. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `value` | STRING | Yes | Any text | The text string to be passed through the node | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The same text string that was provided as input | diff --git a/built-in-nodes/PrimitiveStringMultiline.mdx b/built-in-nodes/PrimitiveStringMultiline.mdx new file mode 100644 index 000000000..30f64663e --- /dev/null +++ b/built-in-nodes/PrimitiveStringMultiline.mdx @@ -0,0 +1,21 @@ +--- +title: "PrimitiveStringMultiline - ComfyUI Built-in Node Documentation" +description: "The PrimitiveStringMultiline node provides a multiline text input field for entering and passing string values through your workflow. It accepts text input with multiple lines and outputs the same ..." +sidebarTitle: "PrimitiveStringMultiline" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveStringMultiline/en.md) + +The PrimitiveStringMultiline node provides a multiline text input field for entering and passing string values through your workflow. It accepts text input with multiple lines and outputs the same string value unchanged. This node is useful when you need to input longer text content or formatted text that spans multiple lines. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `value` | STRING | Yes | N/A | The text input value that can span multiple lines | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The same string value that was provided as input | diff --git a/built-in-nodes/QuadrupleCLIPLoader.mdx b/built-in-nodes/QuadrupleCLIPLoader.mdx new file mode 100644 index 000000000..4b94d6e79 --- /dev/null +++ b/built-in-nodes/QuadrupleCLIPLoader.mdx @@ -0,0 +1,13 @@ +--- +title: "QuadrupleCLIPLoader - ComfyUI Built-in Node Documentation" +description: "The Quadruple CLIP Loader, QuadrupleCLIPLoader, is one of the core nodes of ComfyUI, first added to support the HiDream I1 version model. If you find this node missing, try updating ComfyUI to the ..." +sidebarTitle: "QuadrupleCLIPLoader" +icon: "circle" +--- +The Quadruple CLIP Loader, QuadrupleCLIPLoader, is one of the core nodes of ComfyUI, first added to support the HiDream I1 version model. If you find this node missing, try updating ComfyUI to the latest version to ensure node support. + +It requires 4 CLIP models, corresponding to the parameters `clip_name1`, `clip_name2`, `clip_name3`, and `clip_name4`, and will provide a CLIP model output for subsequent nodes. + +This node will detect models located in the `ComfyUI/models/text_encoders` folder, + and it will also read models from additional paths configured in the extra_model_paths.yaml file. + Sometimes, after adding models, you may need to **reload the ComfyUI interface** to allow it to read the model files in the corresponding folder. diff --git a/built-in-nodes/QwenImageDiffsynthControlnet.mdx b/built-in-nodes/QwenImageDiffsynthControlnet.mdx new file mode 100644 index 000000000..e76d9d9a9 --- /dev/null +++ b/built-in-nodes/QwenImageDiffsynthControlnet.mdx @@ -0,0 +1,28 @@ +--- +title: "QwenImageDiffsynthControlnet - ComfyUI Built-in Node Documentation" +description: "The QwenImageDiffsynthControlnet node applies a diffusion synthesis control network patch to modify a base model's behavior. It uses an image input and optional mask to guide the model's generation..." +sidebarTitle: "QwenImageDiffsynthControlnet" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QwenImageDiffsynthControlnet/en.md) + +The QwenImageDiffsynthControlnet node applies a diffusion synthesis control network patch to modify a base model's behavior. It uses an image input and optional mask to guide the model's generation process with adjustable strength, creating a patched model that incorporates the control network's influence for more controlled image synthesis. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The base model to be patched with the control network | +| `model_patch` | MODEL_PATCH | Yes | - | The control network patch model to apply to the base model | +| `vae` | VAE | Yes | - | The VAE (Variational Autoencoder) used in the diffusion process | +| `image` | IMAGE | Yes | - | The input image used to guide the control network (only RGB channels are used) | +| `strength` | FLOAT | Yes | -10.0 to 10.0 | The strength of the control network influence (default: 1.0) | +| `mask` | MASK | No | - | Optional mask that defines areas where the control network should be applied (inverted internally) | + +**Note:** When a mask is provided, it is automatically inverted (1.0 - mask) and reshaped to match the expected dimensions for the control network processing. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with the diffusion synthesis control network patch applied | diff --git a/built-in-nodes/RandomCropImages.mdx b/built-in-nodes/RandomCropImages.mdx new file mode 100644 index 000000000..badb8ff0b --- /dev/null +++ b/built-in-nodes/RandomCropImages.mdx @@ -0,0 +1,26 @@ +--- +title: "RandomCropImages - ComfyUI Built-in Node Documentation" +description: "The Random Crop Images node randomly selects a rectangular section from each input image and crops it to a specified width and height. This is commonly used for data augmentation to create variatio..." +sidebarTitle: "RandomCropImages" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomCropImages/en.md) + +The Random Crop Images node randomly selects a rectangular section from each input image and crops it to a specified width and height. This is commonly used for data augmentation to create variations of training images. The random position for the crop is determined by a seed value, ensuring the same crop can be reproduced. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The image to be cropped. | +| `width` | INT | No | 1 - 8192 | The width of the crop area (default: 512). | +| `height` | INT | No | 1 - 8192 | The height of the crop area (default: 512). | +| `seed` | INT | No | 0 - 18446744073709551615 | A number used to control the random position of the crop (default: 0). | + +**Note:** The `width` and `height` parameters must be less than or equal to the dimensions of the input image. If a specified dimension is larger than the image, the crop will be limited to the image's boundary. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The resulting image after the random crop has been applied. | diff --git a/built-in-nodes/RandomNoise.mdx b/built-in-nodes/RandomNoise.mdx new file mode 100644 index 000000000..0da577726 --- /dev/null +++ b/built-in-nodes/RandomNoise.mdx @@ -0,0 +1,21 @@ +--- +title: "RandomNoise - ComfyUI Built-in Node Documentation" +description: "The RandomNoise node generates random noise patterns based on a seed value. It creates reproducible noise that can be used for various image processing and generation tasks. The same seed will alwa..." +sidebarTitle: "RandomNoise" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomNoise/en.md) + +The RandomNoise node generates random noise patterns based on a seed value. It creates reproducible noise that can be used for various image processing and generation tasks. The same seed will always produce the same noise pattern, allowing for consistent results across multiple runs. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `noise_seed` | INT | Yes | 0 to 18446744073709551615 | The seed value used to generate the random noise pattern (default: 0). The same seed will always produce the same noise output. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `noise` | NOISE | The generated random noise pattern based on the provided seed value. | diff --git a/built-in-nodes/RebatchImages.mdx b/built-in-nodes/RebatchImages.mdx new file mode 100644 index 000000000..caf5190bb --- /dev/null +++ b/built-in-nodes/RebatchImages.mdx @@ -0,0 +1,21 @@ +--- +title: "RebatchImages - ComfyUI Built-in Node Documentation" +description: "The RebatchImages node is designed to reorganize a batch of images into a new batch configuration, adjusting the batch size as specified. This process is essential for managing and optimizing the p..." +sidebarTitle: "RebatchImages" +icon: "circle" +--- + +The RebatchImages node is designed to reorganize a batch of images into a new batch configuration, adjusting the batch size as specified. This process is essential for managing and optimizing the processing of image data in batch operations, ensuring that images are grouped according to the desired batch size for efficient handling. + +## Inputs + +| Field | Data Type | Description | +|-------------|-------------|-------------------------------------------------------------------------------------| +| `images` | `IMAGE` | A list of images to be rebatched. This parameter is crucial for determining the input data that will undergo the rebatching process. | +| `batch_size`| `INT` | Specifies the desired size of the output batches. This parameter directly influences how the input images are grouped and processed, impacting the structure of the output. | + +## Outputs + +| Field | Data Type | Description | +|-------|-------------|-------------------------------------------------------------------------------| +| `image`| `IMAGE` | The output consists of a list of image batches, reorganized according to the specified batch size. This allows for flexible and efficient processing of image data in batch operations. | diff --git a/built-in-nodes/RebatchLatents.mdx b/built-in-nodes/RebatchLatents.mdx new file mode 100644 index 000000000..754ffe330 --- /dev/null +++ b/built-in-nodes/RebatchLatents.mdx @@ -0,0 +1,21 @@ +--- +title: "RebatchLatents - ComfyUI Built-in Node Documentation" +description: "The RebatchLatents node is designed to reorganize a batch of latent representations into a new batch configuration, based on a specified batch size. It ensures that the latent samples are grouped a..." +sidebarTitle: "RebatchLatents" +icon: "circle" +--- + +The RebatchLatents node is designed to reorganize a batch of latent representations into a new batch configuration, based on a specified batch size. It ensures that the latent samples are grouped appropriately, handling variations in dimensions and sizes, to facilitate further processing or model inference. + +## Inputs + +| Parameter | Data Type | Description | +|--------------|-------------|-------------| +| `latents` | `LATENT` | The 'latents' parameter represents the input latent representations to be rebatched. It is crucial for determining the structure and content of the output batch. | +| `batch_size` | `INT` | The 'batch_size' parameter specifies the desired number of samples per batch in the output. It directly influences the grouping and division of the input latents into new batches. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The output is a reorganized batch of latent representations, adjusted according to the specified batch size. It facilitates further processing or analysis. | diff --git a/built-in-nodes/RecordAudio.mdx b/built-in-nodes/RecordAudio.mdx new file mode 100644 index 000000000..f3c68856b --- /dev/null +++ b/built-in-nodes/RecordAudio.mdx @@ -0,0 +1,21 @@ +--- +title: "RecordAudio - ComfyUI Built-in Node Documentation" +description: "The RecordAudio node loads audio files that have been recorded or selected through the audio recording interface. It processes the audio file and converts it into a waveform format that can be used..." +sidebarTitle: "RecordAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecordAudio/en.md) + +The RecordAudio node loads audio files that have been recorded or selected through the audio recording interface. It processes the audio file and converts it into a waveform format that can be used by other audio processing nodes in the workflow. The node automatically detects the sample rate and prepares the audio data for further manipulation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO_RECORD | Yes | N/A | The audio recording input from the audio recording interface | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `AUDIO` | AUDIO | The processed audio data containing waveform and sample rate information | diff --git a/built-in-nodes/RecraftColorRGB.mdx b/built-in-nodes/RecraftColorRGB.mdx new file mode 100644 index 000000000..4941c819e --- /dev/null +++ b/built-in-nodes/RecraftColorRGB.mdx @@ -0,0 +1,24 @@ +--- +title: "RecraftColorRGB - ComfyUI Built-in Node Documentation" +description: "Create Recraft Color by choosing specific RGB values. This node allows you to define a color by specifying individual red, green, and blue values, which are then converted into a Recraft color form..." +sidebarTitle: "RecraftColorRGB" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftColorRGB/en.md) + +Create Recraft Color by choosing specific RGB values. This node allows you to define a color by specifying individual red, green, and blue values, which are then converted into a Recraft color format that can be used in other Recraft operations. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `r` | INT | Yes | 0-255 | Red value of color (default: 0) | +| `g` | INT | Yes | 0-255 | Green value of color (default: 0) | +| `b` | INT | Yes | 0-255 | Blue value of color (default: 0) | +| `recraft_color` | COLOR | No | - | Optional existing Recraft color to extend | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `recraft_color` | COLOR | The created Recraft color object containing the specified RGB values | diff --git a/built-in-nodes/RecraftControls.mdx b/built-in-nodes/RecraftControls.mdx new file mode 100644 index 000000000..6b01cda6e --- /dev/null +++ b/built-in-nodes/RecraftControls.mdx @@ -0,0 +1,22 @@ +--- +title: "RecraftControls - ComfyUI Built-in Node Documentation" +description: "Creates Recraft Controls for customizing Recraft generation. This node allows you to configure color settings that will be used during the Recraft image generation process." +sidebarTitle: "RecraftControls" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftControls/en.md) + +Creates Recraft Controls for customizing Recraft generation. This node allows you to configure color settings that will be used during the Recraft image generation process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `colors` | COLOR | No | - | Color settings for the main elements | +| `background_color` | COLOR | No | - | Background color setting | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `recraft_controls` | CONTROLS | The configured Recraft controls containing color settings | diff --git a/built-in-nodes/RecraftCreateStyleNode.mdx b/built-in-nodes/RecraftCreateStyleNode.mdx new file mode 100644 index 000000000..e288a5886 --- /dev/null +++ b/built-in-nodes/RecraftCreateStyleNode.mdx @@ -0,0 +1,24 @@ +--- +title: "RecraftCreateStyleNode - ComfyUI Built-in Node Documentation" +description: "This node creates a custom style for image generation by uploading reference images. You can upload between 1 and 5 images to define the new style, and the node will return a unique style ID that c..." +sidebarTitle: "RecraftCreateStyleNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md) + +This node creates a custom style for image generation by uploading reference images. You can upload between 1 and 5 images to define the new style, and the node will return a unique style ID that can be used with other Recraft nodes. The total combined file size of all uploaded images must not exceed 5 MB. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `style` | STRING | Yes | `"realistic_image"`
`"digital_illustration"` | The base style of the generated images. | +| `images` | IMAGE | Yes | 1 to 5 images | A set of 1 to 5 reference images used to create the custom style. | + +**Note:** The total file size of all images in the `images` input must be less than 5 MB. The node will fail if this limit is exceeded. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `style_id` | STRING | The unique identifier for the newly created custom style. | diff --git a/built-in-nodes/RecraftCreativeUpscaleNode.mdx b/built-in-nodes/RecraftCreativeUpscaleNode.mdx new file mode 100644 index 000000000..4e9cfd564 --- /dev/null +++ b/built-in-nodes/RecraftCreativeUpscaleNode.mdx @@ -0,0 +1,21 @@ +--- +title: "RecraftCreativeUpscaleNode - ComfyUI Built-in Node Documentation" +description: "The Recraft Creative Upscale Image node enhances a raster image by increasing its resolution. It uses a \"creative upscale\" process that focuses on improving small details and faces within the image..." +sidebarTitle: "RecraftCreativeUpscaleNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md) + +The Recraft Creative Upscale Image node enhances a raster image by increasing its resolution. It uses a "creative upscale" process that focuses on improving small details and faces within the image. This operation is performed synchronously through an external API. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | | The input image to be upscaled. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The resulting upscaled image with enhanced details. | diff --git a/built-in-nodes/RecraftCrispUpscaleNode.mdx b/built-in-nodes/RecraftCrispUpscaleNode.mdx new file mode 100644 index 000000000..9f734f0d3 --- /dev/null +++ b/built-in-nodes/RecraftCrispUpscaleNode.mdx @@ -0,0 +1,23 @@ +--- +title: "RecraftCrispUpscaleNode - ComfyUI Built-in Node Documentation" +description: "Upscale image synchronously. Enhances a given raster image using 'crisp upscale' tool, increasing image resolution, making the image sharper and cleaner." +sidebarTitle: "RecraftCrispUpscaleNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md) + +Upscale image synchronously. Enhances a given raster image using 'crisp upscale' tool, increasing image resolution, making the image sharper and cleaner. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be upscaled | +| `auth_token` | STRING | No | - | Authentication token for Recraft API | +| `comfy_api_key` | STRING | No | - | API key for Comfy.org services | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The upscaled image with enhanced resolution and clarity | diff --git a/built-in-nodes/RecraftImageInpaintingNode.mdx b/built-in-nodes/RecraftImageInpaintingNode.mdx new file mode 100644 index 000000000..505e7acbb --- /dev/null +++ b/built-in-nodes/RecraftImageInpaintingNode.mdx @@ -0,0 +1,29 @@ +--- +title: "RecraftImageInpaintingNode - ComfyUI Built-in Node Documentation" +description: "This node modifies images based on a text prompt and mask. It uses the Recraft API to intelligently edit specific areas of an image that you define with a mask, while keeping the rest of the image ..." +sidebarTitle: "RecraftImageInpaintingNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md) + +This node modifies images based on a text prompt and mask. It uses the Recraft API to intelligently edit specific areas of an image that you define with a mask, while keeping the rest of the image unchanged. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be modified | +| `mask` | MASK | Yes | - | The mask defining which areas of the image should be modified | +| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string) | +| `n` | INT | Yes | 1-6 | The number of images to generate (default: 1, minimum: 1, maximum: 6) | +| `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0, minimum: 0, maximum: 18446744073709551615) | +| `recraft_style` | STYLEV3 | No | - | Optional style parameter for Recraft API | +| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: empty string) | + +*Note: The `image` and `mask` must be provided together for the inpainting operation to work. The mask will be automatically resized to match the image dimensions.* + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The modified image(s) generated based on the prompt and mask | diff --git a/built-in-nodes/RecraftImageToImageNode.mdx b/built-in-nodes/RecraftImageToImageNode.mdx new file mode 100644 index 000000000..a83b1d3c2 --- /dev/null +++ b/built-in-nodes/RecraftImageToImageNode.mdx @@ -0,0 +1,30 @@ +--- +title: "RecraftImageToImageNode - ComfyUI Built-in Node Documentation" +description: "This node modifies an existing image based on a text prompt and strength parameter. It uses the Recraft API to transform the input image according to the provided description while maintaining some..." +sidebarTitle: "RecraftImageToImageNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md) + +This node modifies an existing image based on a text prompt and strength parameter. It uses the Recraft API to transform the input image according to the provided description while maintaining some similarity to the original image based on the strength setting. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be modified | +| `prompt` | STRING | Yes | - | Prompt for the image generation (default: "") | +| `n` | INT | Yes | 1-6 | The number of images to generate (default: 1) | +| `strength` | FLOAT | Yes | 0.0-1.0 | Defines the difference with the original image, should lie in [0, 1], where 0 means almost identical, and 1 means miserable similarity (default: 0.5) | +| `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | +| `recraft_style` | STYLEV3 | No | - | Optional style selection for the image generation | +| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: "") | +| `recraft_controls` | CONTROLS | No | - | Optional additional controls over the generation via the Recraft Controls node | + +**Note:** The `seed` parameter only triggers re-execution of the node but does not guarantee deterministic results. The strength parameter is rounded to 2 decimal places internally. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The generated image(s) based on the input image and prompt | diff --git a/built-in-nodes/RecraftRemoveBackgroundNode.mdx b/built-in-nodes/RecraftRemoveBackgroundNode.mdx new file mode 100644 index 000000000..0db4e5266 --- /dev/null +++ b/built-in-nodes/RecraftRemoveBackgroundNode.mdx @@ -0,0 +1,24 @@ +--- +title: "RecraftRemoveBackgroundNode - ComfyUI Built-in Node Documentation" +description: "This node removes the background from images using the Recraft API service. It processes each image in the input batch and returns both the processed images with transparent backgrounds and corresp..." +sidebarTitle: "RecraftRemoveBackgroundNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md) + +This node removes the background from images using the Recraft API service. It processes each image in the input batch and returns both the processed images with transparent backgrounds and corresponding alpha masks that indicate the removed background areas. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image(s) to process for background removal | +| `auth_token` | STRING | No | - | Authentication token for Recraft API access | +| `comfy_api_key` | STRING | No | - | API key for Comfy.org service integration | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | Processed images with transparent backgrounds | +| `mask` | MASK | Alpha channel masks indicating the removed background areas | diff --git a/built-in-nodes/RecraftReplaceBackgroundNode.mdx b/built-in-nodes/RecraftReplaceBackgroundNode.mdx new file mode 100644 index 000000000..ee96a4cee --- /dev/null +++ b/built-in-nodes/RecraftReplaceBackgroundNode.mdx @@ -0,0 +1,28 @@ +--- +title: "RecraftReplaceBackgroundNode - ComfyUI Built-in Node Documentation" +description: "Replace background on image, based on provided prompt. This node uses the Recraft API to generate new backgrounds for your images according to your text description, allowing you to completely tran..." +sidebarTitle: "RecraftReplaceBackgroundNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md) + +Replace background on image, based on provided prompt. This node uses the Recraft API to generate new backgrounds for your images according to your text description, allowing you to completely transform the background while keeping the main subject intact. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to process | +| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty) | +| `n` | INT | Yes | 1-6 | The number of images to generate (default: 1) | +| `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | +| `recraft_style` | STYLEV3 | No | - | Optional style selection for the generated background | +| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: empty) | + +**Note:** The `seed` parameter controls when the node re-executes but does not guarantee deterministic results due to the nature of the external API. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The generated image(s) with replaced background | diff --git a/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx b/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx new file mode 100644 index 000000000..267e9249f --- /dev/null +++ b/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx @@ -0,0 +1,21 @@ +--- +title: "RecraftStyleV3DigitalIllustration - ComfyUI Built-in Node Documentation" +description: "This node configures a style for use with the Recraft API, specifically selecting the \"digital_illustration\" style. It allows you to choose an optional substyle to further refine the artistic direc..." +sidebarTitle: "RecraftStyleV3DigitalIllustration" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md) + +This node configures a style for use with the Recraft API, specifically selecting the "digital_illustration" style. It allows you to choose an optional substyle to further refine the artistic direction of the generated image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `substyle` | STRING | No | `"digital_illustration"`
`"digital_illustration_anime"`
`"digital_illustration_cartoon"`
`"digital_illustration_comic"`
`"digital_illustration_concept_art"`
`"digital_illustration_fantasy"`
`"digital_illustration_futuristic"`
`"digital_illustration_graffiti"`
`"digital_illustration_graphic_novel"`
`"digital_illustration_hyperrealistic"`
`"digital_illustration_ink"`
`"digital_illustration_manga"`
`"digital_illustration_minimalist"`
`"digital_illustration_pixel_art"`
`"digital_illustration_pop_art"`
`"digital_illustration_retro"`
`"digital_illustration_sci_fi"`
`"digital_illustration_sticker"`
`"digital_illustration_street_art"`
`"digital_illustration_surreal"`
`"digital_illustration_vector"` | An optional substyle to specify a particular type of digital illustration. If not selected, the base "digital_illustration" style is used. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `recraft_style` | STYLEV3 | A configured style object containing the selected "digital_illustration" style and optional substyle, ready to be passed to other Recraft API nodes. | diff --git a/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx b/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx new file mode 100644 index 000000000..8709259dd --- /dev/null +++ b/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx @@ -0,0 +1,23 @@ +--- +title: "RecraftStyleV3InfiniteStyleLibrary - ComfyUI Built-in Node Documentation" +description: "This node allows you to select a style from Recraft's Infinite Style Library using a preexisting UUID. It retrieves the style information based on the provided style identifier and returns it for u..." +sidebarTitle: "RecraftStyleV3InfiniteStyleLibrary" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md) + +This node allows you to select a style from Recraft's Infinite Style Library using a preexisting UUID. It retrieves the style information based on the provided style identifier and returns it for use in other Recraft nodes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `style_id` | STRING | Yes | Any valid UUID | UUID of style from Infinite Style Library. | + +**Note:** The `style_id` input cannot be empty. If an empty string is provided, the node will raise an exception. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `recraft_style` | STYLEV3 | The selected style object from Recraft's Infinite Style Library | diff --git a/built-in-nodes/RecraftStyleV3LogoRaster.mdx b/built-in-nodes/RecraftStyleV3LogoRaster.mdx new file mode 100644 index 000000000..e747ac32d --- /dev/null +++ b/built-in-nodes/RecraftStyleV3LogoRaster.mdx @@ -0,0 +1,21 @@ +--- +title: "RecraftStyleV3LogoRaster - ComfyUI Built-in Node Documentation" +description: "This node allows you to select the logo raster style and choose from available substyles. It specializes in generating logo designs with raster-based styling options, providing various visual treat..." +sidebarTitle: "RecraftStyleV3LogoRaster" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md) + +This node allows you to select the logo raster style and choose from available substyles. It specializes in generating logo designs with raster-based styling options, providing various visual treatments for logo creation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `substyle` | STRING | Yes | Multiple options available | The specific logo raster substyle to apply for logo generation | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The generated logo image with the selected raster style applied | diff --git a/built-in-nodes/RecraftStyleV3RealisticImage.mdx b/built-in-nodes/RecraftStyleV3RealisticImage.mdx new file mode 100644 index 000000000..499e57ca8 --- /dev/null +++ b/built-in-nodes/RecraftStyleV3RealisticImage.mdx @@ -0,0 +1,21 @@ +--- +title: "RecraftStyleV3RealisticImage - ComfyUI Built-in Node Documentation" +description: "This node creates a realistic image style configuration for use with Recraft's API. It allows you to select the realistic_image style and choose from various substyle options to customize the outpu..." +sidebarTitle: "RecraftStyleV3RealisticImage" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md) + +This node creates a realistic image style configuration for use with Recraft's API. It allows you to select the realistic_image style and choose from various substyle options to customize the output appearance. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `substyle` | STRING | Yes | Multiple options available | The specific substyle to apply to the realistic_image style. If set to "None", no substyle will be applied. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `recraft_style` | STYLEV3 | Returns a Recraft style configuration object containing the realistic_image style and selected substyle settings. | diff --git a/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx b/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx new file mode 100644 index 000000000..2b861edc9 --- /dev/null +++ b/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx @@ -0,0 +1,21 @@ +--- +title: "RecraftStyleV3VectorIllustrationNode - ComfyUI Built-in Node Documentation" +description: "This node configures a style for use with the Recraft API, specifically selecting the `vector_illustration` style. It allows you to optionally choose a more specific substyle within that category. ..." +sidebarTitle: "RecraftStyleV3VectorIllustrationNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md) + +This node configures a style for use with the Recraft API, specifically selecting the `vector_illustration` style. It allows you to optionally choose a more specific substyle within that category. The node outputs a style configuration object that can be passed to other Recraft API nodes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `substyle` | STRING | No | `"vector_illustration"`
`"vector_illustration_flat"`
`"vector_illustration_3d"`
`"vector_illustration_hand_drawn"`
`"vector_illustration_retro"`
`"vector_illustration_modern"`
`"vector_illustration_abstract"`
`"vector_illustration_geometric"`
`"vector_illustration_organic"`
`"vector_illustration_minimalist"`
`"vector_illustration_detailed"`
`"vector_illustration_colorful"`
`"vector_illustration_monochrome"`
`"vector_illustration_grayscale"`
`"vector_illustration_pastel"`
`"vector_illustration_vibrant"`
`"vector_illustration_muted"`
`"vector_illustration_warm"`
`"vector_illustration_cool"`
`"vector_illustration_neutral"`
`"vector_illustration_bold"`
`"vector_illustration_subtle"`
`"vector_illustration_playful"`
`"vector_illustration_serious"`
`"vector_illustration_elegant"`
`"vector_illustration_rustic"`
`"vector_illustration_urban"`
`"vector_illustration_nature"`
`"vector_illustration_fantasy"`
`"vector_illustration_sci_fi"`
`"vector_illustration_historical"`
`"vector_illustration_futuristic"`
`"vector_illustration_whimsical"`
`"vector_illustration_surreal"`
`"vector_illustration_realistic"`
`"vector_illustration_stylized"`
`"vector_illustration_cartoony"`
`"vector_illustration_anime"`
`"vector_illustration_comic"`
`"vector_illustration_pixel"`
`"vector_illustration_low_poly"`
`"vector_illustration_high_poly"`
`"vector_illustration_isometric"`
`"vector_illustration_orthographic"`
`"vector_illustration_perspective"`
`"vector_illustration_2d"`
`"vector_illustration_2.5d"`
`"vector_illustration_3d"`
`"vector_illustration_4d"` | An optional, more specific style within the `vector_illustration` category. If not selected, the base `vector_illustration` style is used. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `recraft_style` | STYLEV3 | A Recraft API style configuration object containing the selected `vector_illustration` style and optional substyle. This can be connected to other Recraft nodes. | diff --git a/built-in-nodes/RecraftTextToImageNode.mdx b/built-in-nodes/RecraftTextToImageNode.mdx new file mode 100644 index 000000000..4cbf83506 --- /dev/null +++ b/built-in-nodes/RecraftTextToImageNode.mdx @@ -0,0 +1,29 @@ +--- +title: "RecraftTextToImageNode - ComfyUI Built-in Node Documentation" +description: "Generates images synchronously based on prompt and resolution. This node connects to the Recraft API to create images from text descriptions with specified dimensions and style options." +sidebarTitle: "RecraftTextToImageNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md) + +Generates images synchronously based on prompt and resolution. This node connects to the Recraft API to create images from text descriptions with specified dimensions and style options. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Prompt for the image generation. (default: "") | +| `size` | COMBO | Yes | "1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | The size of the generated image. (default: "1024x1024") | +| `n` | INT | Yes | 1-6 | The number of images to generate. (default: 1) | +| `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | +| `recraft_style` | COMBO | No | Multiple options available | Optional style selection for image generation. | +| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image. (default: "") | +| `recraft_controls` | COMBO | No | Multiple options available | Optional additional controls over the generation via the Recraft Controls node. | + +**Note:** The `seed` parameter only controls when the node re-runs but does not make the image generation deterministic. The actual output images will vary even with the same seed value. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The generated image(s) as tensor output. | diff --git a/built-in-nodes/RecraftTextToVectorNode.mdx b/built-in-nodes/RecraftTextToVectorNode.mdx new file mode 100644 index 000000000..29edf33bc --- /dev/null +++ b/built-in-nodes/RecraftTextToVectorNode.mdx @@ -0,0 +1,29 @@ +--- +title: "RecraftTextToVectorNode - ComfyUI Built-in Node Documentation" +description: "Generates SVG synchronously based on prompt and resolution. This node creates vector illustrations by sending text prompts to the Recraft API and returns the generated SVG content." +sidebarTitle: "RecraftTextToVectorNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md) + +Generates SVG synchronously based on prompt and resolution. This node creates vector illustrations by sending text prompts to the Recraft API and returns the generated SVG content. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Prompt for the image generation. (default: "") | +| `substyle` | COMBO | Yes | Multiple options available | The specific illustration style to use for generation. Options are determined by the vector illustration substyles available in RecraftStyleV3. | +| `size` | COMBO | Yes | Multiple options available | The size of the generated image. (default: 1024x1024) | +| `n` | INT | Yes | 1-6 | The number of images to generate. (default: 1, min: 1, max: 6) | +| `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0, min: 0, max: 18446744073709551615) | +| `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image. (default: "") | +| `recraft_controls` | CONTROLS | No | - | Optional additional controls over the generation via the Recraft Controls node. | + +**Note:** The `seed` parameter only controls when the node re-runs but does not make the generation results deterministic. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `SVG` | SVG | The generated vector illustration in SVG format | diff --git a/built-in-nodes/RecraftV4TextToImageNode.mdx b/built-in-nodes/RecraftV4TextToImageNode.mdx new file mode 100644 index 000000000..0f9526df5 --- /dev/null +++ b/built-in-nodes/RecraftV4TextToImageNode.mdx @@ -0,0 +1,29 @@ +--- +title: "RecraftV4TextToImageNode - ComfyUI Built-in Node Documentation" +description: "This node generates images from text descriptions using the Recraft V4 or V4 Pro AI models. It sends your prompt to an external API and returns the generated images. You can control the output by s..." +sidebarTitle: "RecraftV4TextToImageNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md) + +This node generates images from text descriptions using the Recraft V4 or V4 Pro AI models. It sends your prompt to an external API and returns the generated images. You can control the output by specifying the model, image size, and number of images to create. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Prompt for the image generation. Maximum 10,000 characters. | +| `negative_prompt` | STRING | No | N/A | An optional text description of undesired elements on an image. | +| `model` | COMBO | Yes | `"recraftv4"`
`"recraftv4_pro"` | The model to use for generation. Selecting a model determines the available image sizes. | +| `size` | COMBO | Yes | Varies by model | The size of the generated image. The available options depend on the selected model. For `recraftv4`, the default is "1024x1024". For `recraftv4_pro`, the default is "2048x2048". | +| `n` | INT | Yes | 1 to 6 | The number of images to generate (default: 1). | +| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | +| `recraft_controls` | CUSTOM | No | N/A | Optional additional controls over the generation via the Recraft Controls node. | + +**Note:** The `size` parameter is a dynamic input whose available options change based on the selected `model`. The `seed` value does not guarantee reproducible image outputs. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The generated image or batch of images. | diff --git a/built-in-nodes/RecraftV4TextToVectorNode.mdx b/built-in-nodes/RecraftV4TextToVectorNode.mdx new file mode 100644 index 000000000..7ea8b472f --- /dev/null +++ b/built-in-nodes/RecraftV4TextToVectorNode.mdx @@ -0,0 +1,29 @@ +--- +title: "RecraftV4TextToVectorNode - ComfyUI Built-in Node Documentation" +description: "The Recraft V4 Text to Vector node generates Scalable Vector Graphics (SVG) illustrations from a text description. It connects to an external API to use either the Recraft V4 or Recraft V4 Pro mode..." +sidebarTitle: "RecraftV4TextToVectorNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md) + +The Recraft V4 Text to Vector node generates Scalable Vector Graphics (SVG) illustrations from a text description. It connects to an external API to use either the Recraft V4 or Recraft V4 Pro model for image generation. The node outputs one or more SVG images based on your prompt. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Prompt for the image generation. Maximum 10,000 characters. | +| `negative_prompt` | STRING | No | N/A | An optional text description of undesired elements on an image. | +| `model` | COMBO | Yes | `"recraftv4"`
`"recraftv4_pro"` | The model to use for generation. Selecting a model changes the available `size` options. | +| `size` | COMBO | Yes | For `recraftv4`: `"1024x1024"`, `"1152x896"`, `"896x1152"`, `"1216x832"`, `"832x1216"`, `"1344x768"`, `"768x1344"`, `"1536x640"`, `"640x1536"`
For `recraftv4_pro`: `"2048x2048"`, `"2304x1792"`, `"1792x2304"`, `"2432x1664"`, `"1664x2432"`, `"2688x1536"`, `"1536x2688"`, `"3072x1280"`, `"1280x3072"` | The size of the generated image. The available options depend on the selected `model`. Default is `"1024x1024"` for `recraftv4` and `"2048x2048"` for `recraftv4_pro`. | +| `n` | INT | Yes | 1 to 6 | The number of images to generate (default: 1). | +| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. | +| `recraft_controls` | CUSTOM | No | N/A | Optional additional controls over the generation via the Recraft Controls node. | + +**Note:** The `size` parameter is a dynamic input whose available options change based on the selected `model`. The `seed` value does not guarantee reproducible results from the external API. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | SVG | The generated Scalable Vector Graphics (SVG) image(s). | diff --git a/built-in-nodes/RecraftVectorizeImageNode.mdx b/built-in-nodes/RecraftVectorizeImageNode.mdx new file mode 100644 index 000000000..f5bff5202 --- /dev/null +++ b/built-in-nodes/RecraftVectorizeImageNode.mdx @@ -0,0 +1,23 @@ +--- +title: "RecraftVectorizeImageNode - ComfyUI Built-in Node Documentation" +description: "Generates SVG synchronously from an input image. This node converts raster images into vector graphics format by processing each image in the input batch and combining the results into a single SVG..." +sidebarTitle: "RecraftVectorizeImageNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md) + +Generates SVG synchronously from an input image. This node converts raster images into vector graphics format by processing each image in the input batch and combining the results into a single SVG output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to convert to SVG format | +| `auth_token` | AUTH_TOKEN_COMFY_ORG | No | - | Authentication token for API access | +| `comfy_api_key` | API_KEY_COMFY_ORG | No | - | API key for Comfy.org services | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `SVG` | SVG | The generated vector graphics output combining all processed images | diff --git a/built-in-nodes/ReferenceLatent.mdx b/built-in-nodes/ReferenceLatent.mdx new file mode 100644 index 000000000..53a8e28a7 --- /dev/null +++ b/built-in-nodes/ReferenceLatent.mdx @@ -0,0 +1,22 @@ +--- +title: "ReferenceLatent - ComfyUI Built-in Node Documentation" +description: "This node sets the guiding latent for an edit model. It takes conditioning data and an optional latent input, then modifies the conditioning to include reference latent information. If the model su..." +sidebarTitle: "ReferenceLatent" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceLatent/en.md) + +This node sets the guiding latent for an edit model. It takes conditioning data and an optional latent input, then modifies the conditioning to include reference latent information. If the model supports it, you can chain multiple ReferenceLatent nodes to set multiple reference images. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `conditioning` | CONDITIONING | Yes | - | The conditioning data to be modified with reference latent information | +| `latent` | LATENT | No | - | Optional latent data to use as reference for the edit model | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | CONDITIONING | The modified conditioning data containing reference latent information | diff --git a/built-in-nodes/ReferenceTimbreAudio.mdx b/built-in-nodes/ReferenceTimbreAudio.mdx new file mode 100644 index 000000000..eb0391d9e --- /dev/null +++ b/built-in-nodes/ReferenceTimbreAudio.mdx @@ -0,0 +1,22 @@ +--- +title: "ReferenceTimbreAudio - ComfyUI Built-in Node Documentation" +description: "This node sets a reference audio timbre for use in the \"ace step 1.5\" process. It works by taking a conditioning input and optionally a latent representation of audio, then attaches that latent dat..." +sidebarTitle: "ReferenceTimbreAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceTimbreAudio/en.md) + +This node sets a reference audio timbre for use in the "ace step 1.5" process. It works by taking a conditioning input and optionally a latent representation of audio, then attaches that latent data to the conditioning for use by subsequent nodes in the workflow. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `conditioning` | CONDITIONING | Yes | | The conditioning data to which the reference audio information will be attached. | +| `latent` | LATENT | No | | An optional latent representation of the reference audio. When provided, its samples are added to the conditioning. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `conditioning` | CONDITIONING | The modified conditioning data, now containing the reference audio timbre latents if the optional `latent` input was provided. | diff --git a/built-in-nodes/RegexExtract.mdx b/built-in-nodes/RegexExtract.mdx new file mode 100644 index 000000000..50288f77e --- /dev/null +++ b/built-in-nodes/RegexExtract.mdx @@ -0,0 +1,29 @@ +--- +title: "RegexExtract - ComfyUI Built-in Node Documentation" +description: "The RegexExtract node searches for patterns in text using regular expressions. It can find the first match, all matches, specific groups from matches, or all groups across multiple matches. The nod..." +sidebarTitle: "RegexExtract" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexExtract/en.md) + +The RegexExtract node searches for patterns in text using regular expressions. It can find the first match, all matches, specific groups from matches, or all groups across multiple matches. The node supports various regex flags for case sensitivity, multiline matching, and dotall behavior. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `string` | STRING | Yes | - | The input text to search for patterns | +| `regex_pattern` | STRING | Yes | - | The regular expression pattern to search for | +| `mode` | COMBO | Yes | "First Match"
"All Matches"
"First Group"
"All Groups" | The extraction mode determines what parts of matches are returned | +| `case_insensitive` | BOOLEAN | No | - | Whether to ignore case when matching (default: True) | +| `multiline` | BOOLEAN | No | - | Whether to treat the string as multiple lines (default: False) | +| `dotall` | BOOLEAN | No | - | Whether the dot (.) matches newlines (default: False) | +| `group_index` | INT | No | 0-100 | The capture group index to extract when using group modes (default: 1) | + +**Note:** When using "First Group" or "All Groups" modes, the `group_index` parameter specifies which capture group to extract. Group 0 represents the entire match, while groups 1+ represent the numbered capture groups in your regex pattern. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The extracted text based on the selected mode and parameters | diff --git a/built-in-nodes/RegexMatch.mdx b/built-in-nodes/RegexMatch.mdx new file mode 100644 index 000000000..22c4cc3c6 --- /dev/null +++ b/built-in-nodes/RegexMatch.mdx @@ -0,0 +1,25 @@ +--- +title: "RegexMatch - ComfyUI Built-in Node Documentation" +description: "The RegexMatch node checks if a text string matches a specified regular expression pattern. It searches the input string for any occurrence of the regex pattern and returns whether a match was foun..." +sidebarTitle: "RegexMatch" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexMatch/en.md) + +The RegexMatch node checks if a text string matches a specified regular expression pattern. It searches the input string for any occurrence of the regex pattern and returns whether a match was found. You can configure various regex flags like case sensitivity, multiline mode, and dotall mode to control how the pattern matching behaves. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `string` | STRING | Yes | - | The text string to search for matches | +| `regex_pattern` | STRING | Yes | - | The regular expression pattern to match against the string | +| `case_insensitive` | BOOLEAN | No | - | Whether to ignore case when matching (default: True) | +| `multiline` | BOOLEAN | No | - | Whether to enable multiline mode for regex matching (default: False) | +| `dotall` | BOOLEAN | No | - | Whether to enable dotall mode for regex matching (default: False) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `matches` | BOOLEAN | Returns True if the regex pattern matches any part of the input string, False otherwise | diff --git a/built-in-nodes/RegexReplace.mdx b/built-in-nodes/RegexReplace.mdx new file mode 100644 index 000000000..362e1a3cc --- /dev/null +++ b/built-in-nodes/RegexReplace.mdx @@ -0,0 +1,27 @@ +--- +title: "RegexReplace - ComfyUI Built-in Node Documentation" +description: "The RegexReplace node finds and replaces text in strings using regular expression patterns. It allows you to search for text patterns and replace them with new text, with options to control how the..." +sidebarTitle: "RegexReplace" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexReplace/en.md) + +The RegexReplace node finds and replaces text in strings using regular expression patterns. It allows you to search for text patterns and replace them with new text, with options to control how the pattern matching works including case sensitivity, multiline matching, and limiting the number of replacements. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `string` | STRING | Yes | - | The input text string to search and replace within | +| `regex_pattern` | STRING | Yes | - | The regular expression pattern to search for in the input string | +| `replace` | STRING | Yes | - | The replacement text to substitute for matched patterns | +| `case_insensitive` | BOOLEAN | No | - | When enabled, makes the pattern matching ignore case differences (default: True) | +| `multiline` | BOOLEAN | No | - | When enabled, changes the behavior of ^ and $ to match at the start/end of each line rather than just the start/end of the entire string (default: False) | +| `dotall` | BOOLEAN | No | - | When enabled, the dot (.) character will match any character including newline characters. When disabled, dots won't match newlines (default: False) | +| `count` | INT | No | 0-100 | Maximum number of replacements to make. Set to 0 to replace all occurrences (default). Set to 1 to replace only the first match, 2 for the first two matches, etc. (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The modified string with the specified replacements applied | diff --git a/built-in-nodes/RenormCFG.mdx b/built-in-nodes/RenormCFG.mdx new file mode 100644 index 000000000..a30fd3cab --- /dev/null +++ b/built-in-nodes/RenormCFG.mdx @@ -0,0 +1,23 @@ +--- +title: "RenormCFG - ComfyUI Built-in Node Documentation" +description: "The RenormCFG node modifies the classifier-free guidance (CFG) process in diffusion models by applying conditional scaling and normalization. It adjusts the denoising process based on specified tim..." +sidebarTitle: "RenormCFG" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RenormCFG/en.md) + +The RenormCFG node modifies the classifier-free guidance (CFG) process in diffusion models by applying conditional scaling and normalization. It adjusts the denoising process based on specified timestep thresholds and renormalization factors to control the influence of conditional versus unconditional predictions during image generation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to apply renormalized CFG to | +| `cfg_trunc` | FLOAT | No | 0.0 - 100.0 | Timestep threshold for applying CFG scaling (default: 100.0) | +| `renorm_cfg` | FLOAT | No | 0.0 - 100.0 | Renormalization factor for controlling conditional guidance strength (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with renormalized CFG function applied | diff --git a/built-in-nodes/RepeatImageBatch.mdx b/built-in-nodes/RepeatImageBatch.mdx new file mode 100644 index 000000000..7161b7b28 --- /dev/null +++ b/built-in-nodes/RepeatImageBatch.mdx @@ -0,0 +1,21 @@ +--- +title: "RepeatImageBatch - ComfyUI Built-in Node Documentation" +description: "The RepeatImageBatch node is designed to replicate a given image a specified number of times, creating a batch of identical images. This functionality is useful for operations that require multiple..." +sidebarTitle: "RepeatImageBatch" +icon: "circle" +--- + +The RepeatImageBatch node is designed to replicate a given image a specified number of times, creating a batch of identical images. This functionality is useful for operations that require multiple instances of the same image, such as batch processing or data augmentation. + +## Inputs + +| Field | Data Type | Description | +|---------|-------------|-----------------------------------------------------------------------------| +| `image` | `IMAGE` | The 'image' parameter represents the image to be replicated. It is crucial for defining the content that will be duplicated across the batch. | +| `amount`| `INT` | The 'amount' parameter specifies the number of times the input image should be replicated. It directly influences the size of the output batch, allowing for flexible batch creation. | + +## Outputs + +| Field | Data Type | Description | +|-------|-------------|--------------------------------------------------------------------------| +| `image`| `IMAGE` | The output is a batch of images, each identical to the input image, replicated according to the specified 'amount'. | diff --git a/built-in-nodes/RepeatLatentBatch.mdx b/built-in-nodes/RepeatLatentBatch.mdx new file mode 100644 index 000000000..00130eb03 --- /dev/null +++ b/built-in-nodes/RepeatLatentBatch.mdx @@ -0,0 +1,21 @@ +--- +title: "RepeatLatentBatch - ComfyUI Built-in Node Documentation" +description: "The RepeatLatentBatch node is designed to replicate a given batch of latent representations a specified number of times, potentially including additional data like noise masks and batch indices. Th..." +sidebarTitle: "RepeatLatentBatch" +icon: "circle" +--- + +The RepeatLatentBatch node is designed to replicate a given batch of latent representations a specified number of times, potentially including additional data like noise masks and batch indices. This functionality is crucial for operations that require multiple instances of the same latent data, such as data augmentation or specific generative tasks. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `samples` | `LATENT` | The 'samples' parameter represents the latent representations to be replicated. It is essential for defining the data that will undergo repetition. | +| `amount` | `INT` | The 'amount' parameter specifies the number of times the input samples should be repeated. It directly influences the size of the output batch, thereby affecting the computational load and the diversity of the generated data. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The output is a modified version of the input latent representations, replicated according to the specified 'amount'. It may include replicated noise masks and adjusted batch indices, if applicable. | diff --git a/built-in-nodes/ReplaceText.mdx b/built-in-nodes/ReplaceText.mdx new file mode 100644 index 000000000..5c329ced5 --- /dev/null +++ b/built-in-nodes/ReplaceText.mdx @@ -0,0 +1,23 @@ +--- +title: "ReplaceText - ComfyUI Built-in Node Documentation" +description: "The Replace Text node performs a simple text substitution. It searches for a specified piece of text within the input and replaces every occurrence with a new piece of text. The operation is applie..." +sidebarTitle: "ReplaceText" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceText/en.md) + +The Replace Text node performs a simple text substitution. It searches for a specified piece of text within the input and replaces every occurrence with a new piece of text. The operation is applied to all text inputs provided to the node. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `text` | STRING | Yes | - | The text to process. | +| `find` | STRING | No | - | The text to find and replace (default: empty string). | +| `replace` | STRING | No | - | The text to replace the found text with (default: empty string). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `text` | STRING | The processed text with all occurrences of the `find` text replaced by the `replace` text. | diff --git a/built-in-nodes/ReplaceVideoLatentFrames.mdx b/built-in-nodes/ReplaceVideoLatentFrames.mdx new file mode 100644 index 000000000..4b2652145 --- /dev/null +++ b/built-in-nodes/ReplaceVideoLatentFrames.mdx @@ -0,0 +1,28 @@ +--- +title: "ReplaceVideoLatentFrames - ComfyUI Built-in Node Documentation" +description: "The ReplaceVideoLatentFrames node inserts frames from a source latent video into a destination latent video, starting at a specified frame index. If the source latent is not provided, the destinati..." +sidebarTitle: "ReplaceVideoLatentFrames" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/en.md) + +The ReplaceVideoLatentFrames node inserts frames from a source latent video into a destination latent video, starting at a specified frame index. If the source latent is not provided, the destination latent is returned unchanged. The node handles negative indexing and will issue a warning if the source frames do not fit within the destination. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `destination` | LATENT | Yes | - | The destination latent where frames will be replaced. | +| `source` | LATENT | No | - | The source latent providing frames to insert into the destination latent. If not provided, the destination latent is returned unchanged. | +| `index` | INT | No | -MAX_RESOLUTION to MAX_RESOLUTION | The starting latent frame index in the destination latent where the source latent frames will be placed. Negative values count from the end (default: 0). | + +**Constraints:** + +* The `index` must be within the bounds of the destination latent's frame count. If it is not, a warning is logged and the destination is returned unchanged. +* The source latent frames must fit within the destination latent frames starting from the specified `index`. If they do not, a warning is logged and the destination is returned unchanged. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | LATENT | The resulting latent video after the frame replacement operation. | diff --git a/built-in-nodes/Reroute.mdx b/built-in-nodes/Reroute.mdx new file mode 100644 index 000000000..b06738758 --- /dev/null +++ b/built-in-nodes/Reroute.mdx @@ -0,0 +1,19 @@ +--- +title: "Reroute - ComfyUI Built-in Node Documentation" +description: "Node Name: Reroute Node Node Purpose: Mainly used to organize the logic of overly long connection lines in the ComfyUI workflow." +sidebarTitle: "Reroute" +icon: "circle" +--- +Node Name: Reroute Node +Node Purpose: Mainly used to organize the logic of overly long connection lines in the ComfyUI workflow. + +## How to Use Reroute Nodes + +| Menu Options | Description | +| --- | --- | +| Show Type | Display the node's type property | +| Hide Type By Default | Hide the node's type property by default | +| Set Vertical | Set the node's wiring direction to vertical | +| Set Horizontal | Set the node's wiring direction to horizontal | + +When your wiring logic is too long and complex, and you want to tidy up the interface, you can insert a ```Reroute``` node between two connection points. The input and output of this node are not type-restricted, and the default style is horizontal. You can change the wiring direction to vertical through the right-click menu. diff --git a/built-in-nodes/RescaleCFG.mdx b/built-in-nodes/RescaleCFG.mdx new file mode 100644 index 000000000..e7d40123f --- /dev/null +++ b/built-in-nodes/RescaleCFG.mdx @@ -0,0 +1,21 @@ +--- +title: "RescaleCFG - ComfyUI Built-in Node Documentation" +description: "The RescaleCFG node is designed to adjust the conditioning and unconditioning scales of a model's output based on a specified multiplier, aiming to achieve a more balanced and controlled generation..." +sidebarTitle: "RescaleCFG" +icon: "circle" +--- + +The RescaleCFG node is designed to adjust the conditioning and unconditioning scales of a model's output based on a specified multiplier, aiming to achieve a more balanced and controlled generation process. It operates by rescaling the model's output to modify the influence of conditioned and unconditioned components, thereby potentially enhancing the model's performance or output quality. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model` | MODEL | The model parameter represents the generative model to be adjusted. It is crucial as the node applies a rescaling function to the model's output, directly influencing the generation process. | +| `multiplier` | `FLOAT` | The multiplier parameter controls the extent of rescaling applied to the model's output. It determines the balance between the original and rescaled components, affecting the final output's characteristics. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model` | MODEL | The modified model with adjusted conditioning and unconditioning scales. This model is expected to produce outputs with potentially enhanced characteristics due to the applied rescaling. | diff --git a/built-in-nodes/ResizeAndPadImage.mdx b/built-in-nodes/ResizeAndPadImage.mdx new file mode 100644 index 000000000..8622fc70b --- /dev/null +++ b/built-in-nodes/ResizeAndPadImage.mdx @@ -0,0 +1,25 @@ +--- +title: "ResizeAndPadImage - ComfyUI Built-in Node Documentation" +description: "The ResizeAndPadImage node resizes an image to fit within specified dimensions while maintaining its original aspect ratio. It scales the image down proportionally to fit within the target width an..." +sidebarTitle: "ResizeAndPadImage" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeAndPadImage/en.md) + +The ResizeAndPadImage node resizes an image to fit within specified dimensions while maintaining its original aspect ratio. It scales the image down proportionally to fit within the target width and height, then adds padding around the edges to fill any remaining space. The padding color and interpolation method can be customized to control the appearance of the padded areas and the quality of the resizing. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be resized and padded | +| `target_width` | INT | Yes | 1 to MAX_RESOLUTION | The desired width of the output image (default: 512) | +| `target_height` | INT | Yes | 1 to MAX_RESOLUTION | The desired height of the output image (default: 512) | +| `padding_color` | COMBO | Yes | "white"
"black" | The color to use for padding areas around the resized image | +| `interpolation` | COMBO | Yes | "area"
"bicubic"
"nearest-exact"
"bilinear"
"lanczos" | The interpolation method used for resizing the image | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The resized and padded output image | diff --git a/built-in-nodes/ResizeImageMaskNode.mdx b/built-in-nodes/ResizeImageMaskNode.mdx new file mode 100644 index 000000000..c6b603ed5 --- /dev/null +++ b/built-in-nodes/ResizeImageMaskNode.mdx @@ -0,0 +1,33 @@ +--- +title: "ResizeImageMaskNode - ComfyUI Built-in Node Documentation" +description: "The Resize Image/Mask node provides multiple methods to change the dimensions of an input image or mask. It can scale by a multiplier, set specific dimensions, match the size of another input, or a..." +sidebarTitle: "ResizeImageMaskNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImageMaskNode/en.md) + +The Resize Image/Mask node provides multiple methods to change the dimensions of an input image or mask. It can scale by a multiplier, set specific dimensions, match the size of another input, or adjust based on pixel count, using various interpolation methods for quality. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `input` | IMAGE or MASK | Yes | N/A | The image or mask to be resized. | +| `resize_type` | COMBO | Yes | `SCALE_BY`
`SCALE_DIMENSIONS`
`SCALE_LONGER_DIMENSION`
`SCALE_SHORTER_DIMENSION`
`SCALE_WIDTH`
`SCALE_HEIGHT`
`SCALE_TOTAL_PIXELS`
`MATCH_SIZE` | The method used to determine the new size. The required parameters change based on the selected type. | +| `multiplier` | FLOAT | No | 0.01 to 8.0 | The scaling factor. Required when `resize_type` is `SCALE_BY` (default: 1.00). | +| `width` | INT | No | 0 to 8192 | The target width in pixels. Required when `resize_type` is `SCALE_DIMENSIONS` or `SCALE_WIDTH` (default: 512). | +| `height` | INT | No | 0 to 8192 | The target height in pixels. Required when `resize_type` is `SCALE_DIMENSIONS` or `SCALE_HEIGHT` (default: 512). | +| `crop` | COMBO | No | `"disabled"`
`"center"` | The cropping method to apply when dimensions don't match the aspect ratio. Only available when `resize_type` is `SCALE_DIMENSIONS` or `MATCH_SIZE` (default: "center"). | +| `longer_size` | INT | No | 0 to 8192 | The target size for the longer side of the image. Required when `resize_type` is `SCALE_LONGER_DIMENSION` (default: 512). | +| `shorter_size` | INT | No | 0 to 8192 | The target size for the shorter side of the image. Required when `resize_type` is `SCALE_SHORTER_DIMENSION` (default: 512). | +| `megapixels` | FLOAT | No | 0.01 to 16.0 | The target total number of megapixels. Required when `resize_type` is `SCALE_TOTAL_PIXELS` (default: 1.0). | +| `match` | IMAGE or MASK | No | N/A | An image or mask whose dimensions the input will be resized to match. Required when `resize_type` is `MATCH_SIZE`. | +| `scale_method` | COMBO | Yes | `"nearest-exact"`
`"bilinear"`
`"area"`
`"bicubic"`
`"lanczos"` | The interpolation algorithm used for scaling (default: "area"). | + +**Note:** The `crop` parameter is only available and relevant when the `resize_type` is set to `SCALE_DIMENSIONS` or `MATCH_SIZE`. When using `SCALE_WIDTH` or `SCALE_HEIGHT`, the other dimension is automatically scaled to maintain the original aspect ratio. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `resized` | IMAGE or MASK | The resized image or mask, matching the data type of the input. | diff --git a/built-in-nodes/ResizeImagesByLongerEdge.mdx b/built-in-nodes/ResizeImagesByLongerEdge.mdx new file mode 100644 index 000000000..ff166f327 --- /dev/null +++ b/built-in-nodes/ResizeImagesByLongerEdge.mdx @@ -0,0 +1,22 @@ +--- +title: "ResizeImagesByLongerEdge - ComfyUI Built-in Node Documentation" +description: "The Resize Images by Longer Edge node resizes one or more images so that their longest side matches a specified target length. It automatically determines whether the width or height is longer and ..." +sidebarTitle: "ResizeImagesByLongerEdge" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/en.md) + +The Resize Images by Longer Edge node resizes one or more images so that their longest side matches a specified target length. It automatically determines whether the width or height is longer and scales the other dimension proportionally to preserve the original aspect ratio. This is useful for standardizing image sizes based on their largest dimension. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image or batch of images to be resized. | +| `longer_edge` | INT | No | 1 - 8192 | Target length for the longer edge. The shorter edge will be scaled proportionally. (default: 1024) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The resized image or batch of images. The output will have the same number of images as the input, with each one's longer edge matching the specified `longer_edge` length. | diff --git a/built-in-nodes/ResizeImagesByShorterEdge.mdx b/built-in-nodes/ResizeImagesByShorterEdge.mdx new file mode 100644 index 000000000..0db7f1a14 --- /dev/null +++ b/built-in-nodes/ResizeImagesByShorterEdge.mdx @@ -0,0 +1,22 @@ +--- +title: "ResizeImagesByShorterEdge - ComfyUI Built-in Node Documentation" +description: "This node resizes images by adjusting their dimensions so that the length of the shorter side matches a specified target value. It calculates new dimensions to maintain the original image's aspect ..." +sidebarTitle: "ResizeImagesByShorterEdge" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/en.md) + +This node resizes images by adjusting their dimensions so that the length of the shorter side matches a specified target value. It calculates new dimensions to maintain the original image's aspect ratio. The resized image is returned. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be resized. | +| `shorter_edge` | INT | No | 1 to 8192 | Target length for the shorter edge. (default: 512) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The resized image. | diff --git a/built-in-nodes/ResolutionBucket.mdx b/built-in-nodes/ResolutionBucket.mdx new file mode 100644 index 000000000..55359c8a6 --- /dev/null +++ b/built-in-nodes/ResolutionBucket.mdx @@ -0,0 +1,25 @@ +--- +title: "ResolutionBucket - ComfyUI Built-in Node Documentation" +description: "This node organizes a list of latent images and their corresponding conditioning data by their resolution. It groups together items that share the same height and width, creating separate batches f..." +sidebarTitle: "ResolutionBucket" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionBucket/en.md) + +This node organizes a list of latent images and their corresponding conditioning data by their resolution. It groups together items that share the same height and width, creating separate batches for each unique resolution. This process is useful for preparing data for efficient training, as it allows models to process multiple items of the same size together. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `latents` | LATENT | Yes | N/A | List of latent dicts to bucket by resolution. | +| `conditioning` | CONDITIONING | Yes | N/A | List of conditioning lists (must match latents length). | + +**Note:** The number of items in the `latents` list must exactly match the number of items in the `conditioning` list. Each latent dictionary can contain a batch of samples, and the corresponding conditioning list must contain a matching number of conditioning items for that batch. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `latents` | LATENT | List of batched latent dicts, one per resolution bucket. | +| `conditioning` | CONDITIONING | List of condition lists, one per resolution bucket. | diff --git a/built-in-nodes/Rodin3D_Detail.mdx b/built-in-nodes/Rodin3D_Detail.mdx new file mode 100644 index 000000000..6cbc39daa --- /dev/null +++ b/built-in-nodes/Rodin3D_Detail.mdx @@ -0,0 +1,24 @@ +--- +title: "Rodin3D_Detail - ComfyUI Built-in Node Documentation" +description: "The Rodin 3D Detail node generates detailed 3D assets using the Rodin API. It takes input images and processes them through the Rodin service to create high-quality 3D models with detailed geometry..." +sidebarTitle: "Rodin3D_Detail" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md) + +The Rodin 3D Detail node generates detailed 3D assets using the Rodin API. It takes input images and processes them through the Rodin service to create high-quality 3D models with detailed geometry and materials. The node handles the entire workflow from task creation to downloading the final 3D model file. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `Images` | IMAGE | Yes | - | Input images used for 3D model generation | +| `Seed` | INT | Yes | - | Random seed value for reproducible results | +| `Material_Type` | STRING | Yes | - | Type of material to apply to the 3D model | +| `Polygon_count` | STRING | Yes | - | Target polygon count for the generated 3D model | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `3D Model Path` | STRING | File path to the generated 3D model | diff --git a/built-in-nodes/Rodin3D_Gen2.mdx b/built-in-nodes/Rodin3D_Gen2.mdx new file mode 100644 index 000000000..dc9532978 --- /dev/null +++ b/built-in-nodes/Rodin3D_Gen2.mdx @@ -0,0 +1,25 @@ +--- +title: "Rodin3D_Gen2 - ComfyUI Built-in Node Documentation" +description: "The Rodin3D_Gen2 node generates 3D assets using the Rodin API. It takes input images and converts them into 3D models with various material types and polygon counts. The node handles the entire gen..." +sidebarTitle: "Rodin3D_Gen2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md) + +The Rodin3D_Gen2 node generates 3D assets using the Rodin API. It takes input images and converts them into 3D models with various material types and polygon counts. The node handles the entire generation process including task creation, status polling, and file downloading automatically. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `Images` | IMAGE | Yes | - | Input images to use for 3D model generation | +| `Seed` | INT | No | 0-65535 | Random seed value for generation (default: 0) | +| `Material_Type` | COMBO | No | "PBR"
"Shaded" | Type of material to apply to the 3D model (default: "PBR") | +| `Polygon_count` | COMBO | No | "4K-Quad"
"8K-Quad"
"18K-Quad"
"50K-Quad"
"2K-Triangle"
"20K-Triangle"
"150K-Triangle"
"500K-Triangle" | Target polygon count for the generated 3D model (default: "500K-Triangle") | +| `TAPose` | BOOLEAN | No | - | Whether to apply TAPose processing (default: False) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `3D Model Path` | STRING | File path to the generated 3D model | diff --git a/built-in-nodes/Rodin3D_Regular.mdx b/built-in-nodes/Rodin3D_Regular.mdx new file mode 100644 index 000000000..bd1b6feb1 --- /dev/null +++ b/built-in-nodes/Rodin3D_Regular.mdx @@ -0,0 +1,24 @@ +--- +title: "Rodin3D_Regular - ComfyUI Built-in Node Documentation" +description: "The Rodin 3D Regular node generates 3D assets using the Rodin API. It takes input images and processes them through the Rodin service to create 3D models. The node handles the entire workflow from ..." +sidebarTitle: "Rodin3D_Regular" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md) + +The Rodin 3D Regular node generates 3D assets using the Rodin API. It takes input images and processes them through the Rodin service to create 3D models. The node handles the entire workflow from task creation to downloading the final 3D model files. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `Images` | IMAGE | Yes | - | Input images used for 3D model generation | +| `Seed` | INT | Yes | - | Random seed value for reproducible results | +| `Material_Type` | STRING | Yes | - | Type of material to apply to the 3D model | +| `Polygon_count` | STRING | Yes | - | Target polygon count for the generated 3D model | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `3D Model Path` | STRING | File path to the generated 3D model | diff --git a/built-in-nodes/Rodin3D_Sketch.mdx b/built-in-nodes/Rodin3D_Sketch.mdx new file mode 100644 index 000000000..e9dd7a365 --- /dev/null +++ b/built-in-nodes/Rodin3D_Sketch.mdx @@ -0,0 +1,22 @@ +--- +title: "Rodin3D_Sketch - ComfyUI Built-in Node Documentation" +description: "This node generates 3D assets using the Rodin API. It takes input images and converts them into 3D models through an external service. The node handles the entire process from task creation to down..." +sidebarTitle: "Rodin3D_Sketch" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md) + +This node generates 3D assets using the Rodin API. It takes input images and converts them into 3D models through an external service. The node handles the entire process from task creation to downloading the final 3D model files. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `Images` | IMAGE | Yes | - | Input images to be converted into 3D models | +| `Seed` | INT | No | 0-65535 | Random seed value for generation (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `3D Model Path` | STRING | File path to the generated 3D model | diff --git a/built-in-nodes/Rodin3D_Smooth.mdx b/built-in-nodes/Rodin3D_Smooth.mdx new file mode 100644 index 000000000..35dbe2822 --- /dev/null +++ b/built-in-nodes/Rodin3D_Smooth.mdx @@ -0,0 +1,24 @@ +--- +title: "Rodin3D_Smooth - ComfyUI Built-in Node Documentation" +description: "The Rodin 3D Smooth node generates 3D assets using the Rodin API by processing input images and converting them into smooth 3D models. It takes multiple images as input and produces a downloadable ..." +sidebarTitle: "Rodin3D_Smooth" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md) + +The Rodin 3D Smooth node generates 3D assets using the Rodin API by processing input images and converting them into smooth 3D models. It takes multiple images as input and produces a downloadable 3D model file. The node handles the entire generation process including task creation, status polling, and file downloading automatically. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `Images` | IMAGE | Yes | - | Input images to use for 3D model generation | +| `Seed` | INT | Yes | - | Random seed value for generation consistency | +| `Material_Type` | STRING | Yes | - | Type of material to apply to the 3D model | +| `Polygon_count` | STRING | Yes | - | Target polygon count for the generated 3D model | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `3D Model Path` | STRING | File path to the downloaded 3D model | diff --git a/built-in-nodes/RunwayFirstLastFrameNode.mdx b/built-in-nodes/RunwayFirstLastFrameNode.mdx new file mode 100644 index 000000000..6a6e516c5 --- /dev/null +++ b/built-in-nodes/RunwayFirstLastFrameNode.mdx @@ -0,0 +1,33 @@ +--- +title: "RunwayFirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "The Runway First-Last-Frame to Video node generates videos by uploading first and last keyframes along with a text prompt. It creates smooth transitions between the provided start and end frames us..." +sidebarTitle: "RunwayFirstLastFrameNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md) + +The Runway First-Last-Frame to Video node generates videos by uploading first and last keyframes along with a text prompt. It creates smooth transitions between the provided start and end frames using Runway's Gen-3 model. This is particularly useful for complex transitions where the end frame differs significantly from the start frame. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text prompt for the generation (default: empty string) | +| `start_frame` | IMAGE | Yes | N/A | Start frame to be used for the video | +| `end_frame` | IMAGE | Yes | N/A | End frame to be used for the video. Supported for gen3a_turbo only. | +| `duration` | COMBO | Yes | Multiple options available | Video duration selection from available Duration options | +| `ratio` | COMBO | Yes | Multiple options available | Aspect ratio selection from available RunwayGen3aAspectRatio options | +| `seed` | INT | No | 0-4294967295 | Random seed for generation (default: 0) | + +**Parameter Constraints:** + +- The `prompt` must contain at least 1 character +- Both `start_frame` and `end_frame` must have maximum dimensions of 7999x7999 pixels +- Both `start_frame` and `end_frame` must have aspect ratios between 0.5 and 2.0 +- The `end_frame` parameter is only supported when using the gen3a_turbo model + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video transitioning between the start and end frames | diff --git a/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx b/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx new file mode 100644 index 000000000..fdb44990e --- /dev/null +++ b/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx @@ -0,0 +1,31 @@ +--- +title: "RunwayImageToVideoNodeGen3a - ComfyUI Built-in Node Documentation" +description: "The Runway Image to Video (Gen3a Turbo) node generates a video from a single starting frame using Runway's Gen3a Turbo model. It takes a text prompt and an initial image frame, then creates a video..." +sidebarTitle: "RunwayImageToVideoNodeGen3a" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md) + +The Runway Image to Video (Gen3a Turbo) node generates a video from a single starting frame using Runway's Gen3a Turbo model. It takes a text prompt and an initial image frame, then creates a video sequence based on the specified duration and aspect ratio. This node connects to Runway's API to process the generation remotely. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text prompt for the generation (default: "") | +| `start_frame` | IMAGE | Yes | N/A | Start frame to be used for the video | +| `duration` | COMBO | Yes | Multiple options available | Video duration selection from available options | +| `ratio` | COMBO | Yes | Multiple options available | Aspect ratio selection from available options | +| `seed` | INT | No | 0-4294967295 | Random seed for generation (default: 0) | + +**Parameter Constraints:** + +- The `start_frame` must have dimensions not exceeding 7999x7999 pixels +- The `start_frame` must have an aspect ratio between 0.5 and 2.0 +- The `prompt` must contain at least one character (cannot be empty) + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video sequence | diff --git a/built-in-nodes/RunwayImageToVideoNodeGen4.mdx b/built-in-nodes/RunwayImageToVideoNodeGen4.mdx new file mode 100644 index 000000000..b08fa4a6d --- /dev/null +++ b/built-in-nodes/RunwayImageToVideoNodeGen4.mdx @@ -0,0 +1,31 @@ +--- +title: "RunwayImageToVideoNodeGen4 - ComfyUI Built-in Node Documentation" +description: "The Runway Image to Video (Gen4 Turbo) node generates a video from a single starting frame using Runway's Gen4 Turbo model. It takes a text prompt and an initial image frame, then creates a video s..." +sidebarTitle: "RunwayImageToVideoNodeGen4" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md) + +The Runway Image to Video (Gen4 Turbo) node generates a video from a single starting frame using Runway's Gen4 Turbo model. It takes a text prompt and an initial image frame, then creates a video sequence based on the provided duration and aspect ratio settings. The node handles uploading the starting frame to Runway's API and returns the generated video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Text prompt for the generation (default: empty string) | +| `start_frame` | IMAGE | Yes | - | Start frame to be used for the video | +| `duration` | COMBO | Yes | Multiple options available | Video duration selection from available duration options | +| `ratio` | COMBO | Yes | Multiple options available | Aspect ratio selection from available Gen4 Turbo aspect ratio options | +| `seed` | INT | No | 0 to 4294967295 | Random seed for generation (default: 0) | + +**Parameter Constraints:** + +- The `start_frame` image must have dimensions not exceeding 7999x7999 pixels +- The `start_frame` image must have an aspect ratio between 0.5 and 2.0 +- The `prompt` must contain at least one character + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video based on the input frame and prompt | diff --git a/built-in-nodes/RunwayTextToImageNode.mdx b/built-in-nodes/RunwayTextToImageNode.mdx new file mode 100644 index 000000000..b36e6fc46 --- /dev/null +++ b/built-in-nodes/RunwayTextToImageNode.mdx @@ -0,0 +1,25 @@ +--- +title: "RunwayTextToImageNode - ComfyUI Built-in Node Documentation" +description: "The Runway Text to Image node generates images from text prompts using Runway's Gen 4 model. You can provide a text description and optionally include a reference image to guide the image generatio..." +sidebarTitle: "RunwayTextToImageNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md) + +The Runway Text to Image node generates images from text prompts using Runway's Gen 4 model. You can provide a text description and optionally include a reference image to guide the image generation process. The node handles the API communication and returns the generated image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Text prompt for the generation (default: "") | +| `ratio` | COMBO | Yes | "16:9"
"1:1"
"21:9"
"2:3"
"3:2"
"4:5"
"5:4"
"9:16"
"9:21" | Aspect ratio for the generated image | +| `reference_image` | IMAGE | No | - | Optional reference image to guide the generation | + +**Note:** The reference image must have dimensions not exceeding 7999x7999 pixels and an aspect ratio between 0.5 and 2.0. When a reference image is provided, it guides the image generation process. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The generated image based on the text prompt and optional reference image | diff --git a/built-in-nodes/SDTurboScheduler.mdx b/built-in-nodes/SDTurboScheduler.mdx new file mode 100644 index 000000000..d96d34acd --- /dev/null +++ b/built-in-nodes/SDTurboScheduler.mdx @@ -0,0 +1,22 @@ +--- +title: "SDTurboScheduler - ComfyUI Built-in Node Documentation" +description: "SDTurboScheduler is designed to generate a sequence of sigma values for image sampling, adjusting the sequence based on the denoise level and the number of steps specified. It leverages a specific ..." +sidebarTitle: "SDTurboScheduler" +icon: "circle" +--- + +SDTurboScheduler is designed to generate a sequence of sigma values for image sampling, adjusting the sequence based on the denoise level and the number of steps specified. It leverages a specific model's sampling capabilities to produce these sigma values, which are crucial for controlling the denoising process during image generation. + +## Inputs + +| Parameter | Data Type | Description | +| --- | --- | --- | +| `model` | `MODEL` | The model parameter specifies the generative model to be used for sigma value generation. It is crucial for determining the specific sampling behavior and capabilities of the scheduler. | +| `steps` | `INT` | The steps parameter determines the length of the sigma sequence to be generated, directly influencing the granularity of the denoising process. | +| `denoise` | `FLOAT` | The denoise parameter adjusts the starting point of the sigma sequence, allowing for finer control over the denoising level applied during image generation. | + +## Outputs + +| Parameter | Data Type | Description | +| --- | --- | --- | +| `sigmas` | `SIGMAS` | A sequence of sigma values generated based on the specified model, steps, and denoise level. These values are essential for controlling the denoising process in image generation. | diff --git a/built-in-nodes/SD_4XUpscale_Conditioning.mdx b/built-in-nodes/SD_4XUpscale_Conditioning.mdx new file mode 100644 index 000000000..320767fc0 --- /dev/null +++ b/built-in-nodes/SD_4XUpscale_Conditioning.mdx @@ -0,0 +1,27 @@ +--- +title: "SD_4XUpscale_Conditioning - ComfyUI Built-in Node Documentation" +description: "The SD_4XUpscale_Conditioning node prepares conditioning data for upscaling images using diffusion models. It takes input images and conditioning data, then applies scaling and noise augmentation t..." +sidebarTitle: "SD_4XUpscale_Conditioning" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/en.md) + +The SD_4XUpscale_Conditioning node prepares conditioning data for upscaling images using diffusion models. It takes input images and conditioning data, then applies scaling and noise augmentation to create modified conditioning that guides the upscaling process. The node outputs both positive and negative conditioning along with latent representations for the upscaled dimensions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | - | Input images to be upscaled | +| `positive` | CONDITIONING | Yes | - | Positive conditioning data that guides the generation toward desired content | +| `negative` | CONDITIONING | Yes | - | Negative conditioning data that steers the generation away from unwanted content | +| `scale_ratio` | FLOAT | No | 0.0 - 10.0 | Scaling factor applied to the input images (default: 4.0) | +| `noise_augmentation` | FLOAT | No | 0.0 - 1.0 | Amount of noise to add during the upscaling process (default: 0.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Modified positive conditioning with upscaling information applied | +| `negative` | CONDITIONING | Modified negative conditioning with upscaling information applied | +| `latent` | LATENT | Empty latent representation matching the upscaled dimensions | diff --git a/built-in-nodes/SV3D_Conditioning.mdx b/built-in-nodes/SV3D_Conditioning.mdx new file mode 100644 index 000000000..8dab9be6d --- /dev/null +++ b/built-in-nodes/SV3D_Conditioning.mdx @@ -0,0 +1,29 @@ +--- +title: "SV3D_Conditioning - ComfyUI Built-in Node Documentation" +description: "The SV3D_Conditioning node prepares conditioning data for 3D video generation using the SV3D model. It takes an initial image and processes it through CLIP vision and VAE encoders to create positiv..." +sidebarTitle: "SV3D_Conditioning" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SV3D_Conditioning/en.md) + +The SV3D_Conditioning node prepares conditioning data for 3D video generation using the SV3D model. It takes an initial image and processes it through CLIP vision and VAE encoders to create positive and negative conditioning, along with a latent representation. The node generates camera elevation and azimuth sequences for multi-frame video generation based on the specified number of video frames. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip_vision` | CLIP_VISION | Yes | - | The CLIP vision model used for encoding the input image | +| `init_image` | IMAGE | Yes | - | The initial image that serves as the starting point for 3D video generation | +| `vae` | VAE | Yes | - | The VAE model used for encoding the image into latent space | +| `width` | INT | No | 16 to MAX_RESOLUTION | The output width for the generated video frames (default: 576, must be divisible by 8) | +| `height` | INT | No | 16 to MAX_RESOLUTION | The output height for the generated video frames (default: 576, must be divisible by 8) | +| `video_frames` | INT | No | 1 to 4096 | The number of frames to generate for the video sequence (default: 21) | +| `elevation` | FLOAT | No | -90.0 to 90.0 | The camera elevation angle in degrees for the 3D view (default: 0.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The positive conditioning data containing image embeddings and camera parameters for generation | +| `negative` | CONDITIONING | The negative conditioning data with zeroed embeddings for contrastive generation | +| `latent` | LATENT | An empty latent tensor with dimensions matching the specified video frames and resolution | diff --git a/built-in-nodes/SVD_img2vid_Conditioning.mdx b/built-in-nodes/SVD_img2vid_Conditioning.mdx new file mode 100644 index 000000000..78d3eab04 --- /dev/null +++ b/built-in-nodes/SVD_img2vid_Conditioning.mdx @@ -0,0 +1,31 @@ +--- +title: "SVD_img2vid_Conditioning - ComfyUI Built-in Node Documentation" +description: "The SVD_img2vid_Conditioning node prepares conditioning data for video generation using Stable Video Diffusion. It takes an initial image and processes it through CLIP vision and VAE encoders to cr..." +sidebarTitle: "SVD_img2vid_Conditioning" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SVD_img2vid_Conditioning/en.md) + +The SVD_img2vid_Conditioning node prepares conditioning data for video generation using Stable Video Diffusion. It takes an initial image and processes it through CLIP vision and VAE encoders to create positive and negative conditioning pairs, along with an empty latent space for video generation. This node sets up the necessary parameters for controlling motion, frame rate, and augmentation levels in the generated video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip_vision` | CLIP_VISION | Yes | - | CLIP vision model for encoding the input image | +| `init_image` | IMAGE | Yes | - | Initial image to use as the starting point for video generation | +| `vae` | VAE | Yes | - | VAE model for encoding the image into latent space | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width (default: 1024, step: 8) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height (default: 576, step: 8) | +| `video_frames` | INT | Yes | 1 to 4096 | Number of frames to generate in the video (default: 14) | +| `motion_bucket_id` | INT | Yes | 1 to 1023 | Controls the amount of motion in the generated video (default: 127) | +| `fps` | INT | Yes | 1 to 1024 | Frames per second for the generated video (default: 6) | +| `augmentation_level` | FLOAT | Yes | 0.0 to 10.0 | Level of noise augmentation to apply to the input image (default: 0.0, step: 0.01) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Positive conditioning data containing image embeddings and video parameters | +| `negative` | CONDITIONING | Negative conditioning data with zeroed embeddings and video parameters | +| `latent` | LATENT | Empty latent space tensor ready for video generation | diff --git a/built-in-nodes/SamplerCustom.mdx b/built-in-nodes/SamplerCustom.mdx new file mode 100644 index 000000000..e141357fe --- /dev/null +++ b/built-in-nodes/SamplerCustom.mdx @@ -0,0 +1,29 @@ +--- +title: "SamplerCustom - ComfyUI Built-in Node Documentation" +description: "The SamplerCustom node is designed to provide a flexible and customizable sampling mechanism for various applications. It enables users to select and configure different sampling strategies tailore..." +sidebarTitle: "SamplerCustom" +icon: "circle" +--- + +The SamplerCustom node is designed to provide a flexible and customizable sampling mechanism for various applications. It enables users to select and configure different sampling strategies tailored to their specific needs, enhancing the adaptability and efficiency of the sampling process. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|--------------|-------------| +| `model` | `MODEL` | The 'model' input type specifies the model to be used for sampling, playing a crucial role in determining the sampling behavior and output. | +| `add_noise` | `BOOLEAN` | The 'add_noise' input type allows users to specify whether noise should be added to the sampling process, influencing the diversity and characteristics of the generated samples. | +| `noise_seed` | `INT` | The 'noise_seed' input type provides a seed for the noise generation, ensuring reproducibility and consistency in the sampling process when adding noise. | +| `cfg` | `FLOAT` | The 'cfg' input type sets the configuration for the sampling process, allowing for fine-tuning of the sampling parameters and behavior. | +| `positive` | `CONDITIONING` | The 'positive' input type represents positive conditioning information, guiding the sampling process towards generating samples that align with specified positive attributes. | +| `negative` | `CONDITIONING` | The 'negative' input type represents negative conditioning information, steering the sampling process away from generating samples that exhibit specified negative attributes. | +| `sampler` | `SAMPLER` | The 'sampler' input type selects the specific sampling strategy to be employed, directly impacting the nature and quality of the generated samples. | +| `sigmas` | `SIGMAS` | The 'sigmas' input type defines the noise levels to be used in the sampling process, affecting the exploration of the sample space and the diversity of the output. | +| `latent_image` | `LATENT` | The 'latent_image' input type provides an initial latent image for the sampling process, serving as a starting point for sample generation. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|--------------|-------------| +| `output` | `LATENT` | The 'output' represents the primary result of the sampling process, containing the generated samples. | +| `denoised_output` | `LATENT` | The 'denoised_output' represents the samples after a denoising process has been applied, potentially enhancing the clarity and quality of the generated samples. | diff --git a/built-in-nodes/SamplerCustomAdvanced.mdx b/built-in-nodes/SamplerCustomAdvanced.mdx new file mode 100644 index 000000000..b50ad0cbf --- /dev/null +++ b/built-in-nodes/SamplerCustomAdvanced.mdx @@ -0,0 +1,26 @@ +--- +title: "SamplerCustomAdvanced - ComfyUI Built-in Node Documentation" +description: "The SamplerCustomAdvanced node performs advanced latent space sampling using custom noise, guidance, and sampling configurations. It processes a latent image through a guided sampling process with ..." +sidebarTitle: "SamplerCustomAdvanced" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustomAdvanced/en.md) + +The SamplerCustomAdvanced node performs advanced latent space sampling using custom noise, guidance, and sampling configurations. It processes a latent image through a guided sampling process with customizable noise generation and sigma schedules, producing both the final sampled output and a denoised version when available. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `noise` | NOISE | Yes | - | The noise generator that provides the initial noise pattern and seed for the sampling process | +| `guider` | GUIDER | Yes | - | The guidance model that directs the sampling process toward desired outputs | +| `sampler` | SAMPLER | Yes | - | The sampling algorithm that defines how the latent space is traversed during generation | +| `sigmas` | SIGMAS | Yes | - | The sigma schedule that controls the noise levels throughout the sampling steps | +| `latent_image` | LATENT | Yes | - | The initial latent representation that serves as the starting point for sampling | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | LATENT | The final sampled latent representation after completing the sampling process | +| `denoised_output` | LATENT | A denoised version of the output when available, otherwise returns the same as the output | diff --git a/built-in-nodes/SamplerDPMAdaptative.mdx b/built-in-nodes/SamplerDPMAdaptative.mdx new file mode 100644 index 000000000..5db28129a --- /dev/null +++ b/built-in-nodes/SamplerDPMAdaptative.mdx @@ -0,0 +1,30 @@ +--- +title: "SamplerDPMAdaptative - ComfyUI Built-in Node Documentation" +description: "The SamplerDPMAdaptative node implements an adaptive DPM (Diffusion Probabilistic Model) sampler that automatically adjusts step sizes during the sampling process. It uses tolerance-based error con..." +sidebarTitle: "SamplerDPMAdaptative" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMAdaptative/en.md) + +The SamplerDPMAdaptative node implements an adaptive DPM (Diffusion Probabilistic Model) sampler that automatically adjusts step sizes during the sampling process. It uses tolerance-based error control to determine optimal step sizes, balancing computational efficiency with sampling accuracy. This adaptive approach helps maintain quality while potentially reducing the number of steps needed. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `order` | INT | Yes | 2-3 | The order of the sampler method (default: 3) | +| `rtol` | FLOAT | Yes | 0.0-100.0 | Relative tolerance for error control (default: 0.05) | +| `atol` | FLOAT | Yes | 0.0-100.0 | Absolute tolerance for error control (default: 0.0078) | +| `h_init` | FLOAT | Yes | 0.0-100.0 | Initial step size (default: 0.05) | +| `pcoeff` | FLOAT | Yes | 0.0-100.0 | Proportional coefficient for step size control (default: 0.0) | +| `icoeff` | FLOAT | Yes | 0.0-100.0 | Integral coefficient for step size control (default: 1.0) | +| `dcoeff` | FLOAT | Yes | 0.0-100.0 | Derivative coefficient for step size control (default: 0.0) | +| `accept_safety` | FLOAT | Yes | 0.0-100.0 | Safety factor for step acceptance (default: 0.81) | +| `eta` | FLOAT | Yes | 0.0-100.0 | Stochasticity parameter (default: 0.0) | +| `s_noise` | FLOAT | Yes | 0.0-100.0 | Noise scaling factor (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | Returns a configured DPM adaptive sampler instance | diff --git a/built-in-nodes/SamplerDPMPP_2M_SDE.mdx b/built-in-nodes/SamplerDPMPP_2M_SDE.mdx new file mode 100644 index 000000000..99c22f47d --- /dev/null +++ b/built-in-nodes/SamplerDPMPP_2M_SDE.mdx @@ -0,0 +1,24 @@ +--- +title: "SamplerDPMPP_2M_SDE - ComfyUI Built-in Node Documentation" +description: "The SamplerDPMPP_2M_SDE node creates a DPM++ 2M SDE sampler for diffusion models. This sampler uses second-order differential equation solvers with stochastic differential equations to generate sam..." +sidebarTitle: "SamplerDPMPP_2M_SDE" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/en.md) + +The SamplerDPMPP_2M_SDE node creates a DPM++ 2M SDE sampler for diffusion models. This sampler uses second-order differential equation solvers with stochastic differential equations to generate samples. It provides different solver types and noise handling options to control the sampling process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `solver_type` | STRING | Yes | `"midpoint"`
`"heun"` | The type of differential equation solver to use for the sampling process | +| `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the stochasticity of the sampling process (default: 1.0) | +| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | +| `noise_device` | STRING | Yes | `"gpu"`
`"cpu"` | The device where noise calculations are performed | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | A configured sampler object ready for use in the sampling pipeline | diff --git a/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx b/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx new file mode 100644 index 000000000..4b0306093 --- /dev/null +++ b/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx @@ -0,0 +1,22 @@ +--- +title: "SamplerDPMPP_2S_Ancestral - ComfyUI Built-in Node Documentation" +description: "The SamplerDPMPP_2S_Ancestral node creates a sampler that uses the DPM++ 2S Ancestral sampling method for generating images. This sampler combines deterministic and stochastic elements to produce v..." +sidebarTitle: "SamplerDPMPP_2S_Ancestral" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2S_Ancestral/en.md) + +The SamplerDPMPP_2S_Ancestral node creates a sampler that uses the DPM++ 2S Ancestral sampling method for generating images. This sampler combines deterministic and stochastic elements to produce varied results while maintaining some consistency. It allows you to control the randomness and noise levels during the sampling process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of stochastic noise added during sampling (default: 1.0) | +| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the scale of noise applied during the sampling process (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | Returns a configured sampler object that can be used in the sampling pipeline | diff --git a/built-in-nodes/SamplerDPMPP_3M_SDE.mdx b/built-in-nodes/SamplerDPMPP_3M_SDE.mdx new file mode 100644 index 000000000..c0c3bc53d --- /dev/null +++ b/built-in-nodes/SamplerDPMPP_3M_SDE.mdx @@ -0,0 +1,23 @@ +--- +title: "SamplerDPMPP_3M_SDE - ComfyUI Built-in Node Documentation" +description: "The SamplerDPMPP_3M_SDE node creates a DPM++ 3M SDE sampler for use in the sampling process. This sampler uses a third-order multistep stochastic differential equation method with configurable nois..." +sidebarTitle: "SamplerDPMPP_3M_SDE" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/en.md) + +The SamplerDPMPP_3M_SDE node creates a DPM++ 3M SDE sampler for use in the sampling process. This sampler uses a third-order multistep stochastic differential equation method with configurable noise parameters. The node allows you to choose whether noise calculations are performed on the GPU or CPU. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the stochasticity of the sampling process (default: 1.0) | +| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | +| `noise_device` | COMBO | Yes | "gpu"
"cpu" | Selects the device for noise calculations, either GPU or CPU | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | Returns a configured sampler object for use in sampling workflows | diff --git a/built-in-nodes/SamplerDPMPP_SDE.mdx b/built-in-nodes/SamplerDPMPP_SDE.mdx new file mode 100644 index 000000000..17cb05ee5 --- /dev/null +++ b/built-in-nodes/SamplerDPMPP_SDE.mdx @@ -0,0 +1,24 @@ +--- +title: "SamplerDPMPP_SDE - ComfyUI Built-in Node Documentation" +description: "The SamplerDPMPP_SDE node creates a DPM++ SDE (Stochastic Differential Equation) sampler for use in the sampling process. This sampler provides a stochastic sampling method with configurable noise ..." +sidebarTitle: "SamplerDPMPP_SDE" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/en.md) + +The SamplerDPMPP_SDE node creates a DPM++ SDE (Stochastic Differential Equation) sampler for use in the sampling process. This sampler provides a stochastic sampling method with configurable noise parameters and device selection. It returns a sampler object that can be used in the sampling pipeline. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the stochasticity of the sampling process (default: 1.0) | +| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | +| `r` | FLOAT | Yes | 0.0 - 100.0 | A parameter that influences the sampling behavior (default: 0.5) | +| `noise_device` | COMBO | Yes | "gpu"
"cpu" | Selects the device where noise calculations are performed | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | Returns a configured DPM++ SDE sampler object for use in sampling pipelines | diff --git a/built-in-nodes/SamplerDpmpp2mSde.mdx b/built-in-nodes/SamplerDpmpp2mSde.mdx new file mode 100644 index 000000000..8728587fb --- /dev/null +++ b/built-in-nodes/SamplerDpmpp2mSde.mdx @@ -0,0 +1,23 @@ +--- +title: "SamplerDpmpp2mSde - ComfyUI Built-in Node Documentation" +description: "This node is designed to generate a sampler for the DPMPP_2M_SDE model, allowing for the creation of samples based on specified solver types, noise levels, and computational device preferences. It ..." +sidebarTitle: "SamplerDpmpp2mSde" +icon: "circle" +--- + +This node is designed to generate a sampler for the DPMPP_2M_SDE model, allowing for the creation of samples based on specified solver types, noise levels, and computational device preferences. It abstracts the complexities of sampler configuration, providing a streamlined interface for generating samples with customized settings. + +## Inputs + +| Parameter | Data Type | Description | +|-----------------|-------------|-----------------------------------------------------------------------------| +| `solver_type` | COMBO[STRING] | Specifies the solver type to be used in the sampling process, offering options between 'midpoint' and 'heun'. This choice influences the numerical integration method applied during sampling. | +| `eta` | `FLOAT` | Determines the step size in the numerical integration, affecting the granularity of the sampling process. A higher value indicates a larger step size. | +| `s_noise` | `FLOAT` | Controls the level of noise introduced during the sampling process, influencing the variability of the generated samples. | +| `noise_device` | COMBO[STRING] | Indicates the computational device ('gpu' or 'cpu') on which the noise generation process is executed, affecting performance and efficiency. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------------|-------------|-----------------------------------------------------------------------------| +| `sampler` | `SAMPLER` | The output is a sampler configured according to the specified parameters, ready for generating samples. | diff --git a/built-in-nodes/SamplerDpmppSde.mdx b/built-in-nodes/SamplerDpmppSde.mdx new file mode 100644 index 000000000..036e7e90c --- /dev/null +++ b/built-in-nodes/SamplerDpmppSde.mdx @@ -0,0 +1,23 @@ +--- +title: "SamplerDpmppSde - ComfyUI Built-in Node Documentation" +description: "This node is designed to generate a sampler for the DPM++ SDE (Stochastic Differential Equation) model. It adapts to both CPU and GPU execution environments, optimizing the sampler's implementation..." +sidebarTitle: "SamplerDpmppSde" +icon: "circle" +--- + +This node is designed to generate a sampler for the DPM++ SDE (Stochastic Differential Equation) model. It adapts to both CPU and GPU execution environments, optimizing the sampler's implementation based on the available hardware. + +## Inputs + +| Parameter | Data Type | Description | +|----------------|-------------|-------------| +| `eta` | FLOAT | Specifies the step size for the SDE solver, influencing the granularity of the sampling process.| +| `s_noise` | FLOAT | Determines the level of noise to be applied during the sampling process, affecting the diversity of the generated samples.| +| `r` | FLOAT | Controls the ratio of noise reduction in the sampling process, impacting the clarity and quality of the generated samples.| +| `noise_device` | COMBO[STRING]| Selects the execution environment (CPU or GPU) for the sampler, optimizing performance based on available hardware.| + +## Outputs + +| Parameter | Data Type | Description | +|----------------|-------------|-------------| +| `sampler` | SAMPLER | The generated sampler configured with the specified parameters, ready for use in sampling operations. | diff --git a/built-in-nodes/SamplerER_SDE.mdx b/built-in-nodes/SamplerER_SDE.mdx new file mode 100644 index 000000000..99b1ef3b4 --- /dev/null +++ b/built-in-nodes/SamplerER_SDE.mdx @@ -0,0 +1,29 @@ +--- +title: "SamplerER_SDE - ComfyUI Built-in Node Documentation" +description: "The SamplerER_SDE node provides specialized sampling methods for diffusion models, offering different solver types including ER-SDE, Reverse-time SDE, and ODE approaches. It allows control over the..." +sidebarTitle: "SamplerER_SDE" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerER_SDE/en.md) + +The SamplerER_SDE node provides specialized sampling methods for diffusion models, offering different solver types including ER-SDE, Reverse-time SDE, and ODE approaches. It allows control over the stochastic behavior and computational stages of the sampling process. The node automatically adjusts parameters based on the selected solver type to ensure proper functionality. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `solver_type` | COMBO | Yes | "ER-SDE"
"Reverse-time SDE"
"ODE" | The type of solver to use for sampling. Determines the mathematical approach for the diffusion process. | +| `max_stage` | INT | Yes | 1-3 | The maximum number of stages for the sampling process (default: 3). Controls the computational complexity and quality. | +| `eta` | FLOAT | Yes | 0.0-100.0 | Stochastic strength of reverse-time SDE (default: 1.0). When eta=0, it reduces to deterministic ODE. This setting doesn't apply to ER-SDE solver type. | +| `s_noise` | FLOAT | Yes | 0.0-100.0 | Noise scaling factor for the sampling process (default: 1.0). Controls the amount of noise applied during sampling. | + +**Parameter Constraints:** + +- When `solver_type` is set to "ODE" or when using "Reverse-time SDE" with `eta`=0, both `eta` and `s_noise` are automatically set to 0 regardless of user input values. +- The `eta` parameter only affects "Reverse-time SDE" solver type and has no effect on "ER-SDE" solver type. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | A configured sampler object that can be used in the sampling pipeline with the specified solver settings. | diff --git a/built-in-nodes/SamplerEulerAncestral.mdx b/built-in-nodes/SamplerEulerAncestral.mdx new file mode 100644 index 000000000..4b9ed2af0 --- /dev/null +++ b/built-in-nodes/SamplerEulerAncestral.mdx @@ -0,0 +1,22 @@ +--- +title: "SamplerEulerAncestral - ComfyUI Built-in Node Documentation" +description: "The SamplerEulerAncestral node creates an Euler Ancestral sampler for generating images. This sampler uses a specific mathematical approach that combines Euler integration with ancestral sampling t..." +sidebarTitle: "SamplerEulerAncestral" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestral/en.md) + +The SamplerEulerAncestral node creates an Euler Ancestral sampler for generating images. This sampler uses a specific mathematical approach that combines Euler integration with ancestral sampling techniques to produce image variations. The node allows you to configure the sampling behavior by adjusting parameters that control the randomness and step size during the generation process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the step size and stochasticity of the sampling process (default: 1.0) | +| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | Returns a configured Euler Ancestral sampler that can be used in the sampling pipeline | diff --git a/built-in-nodes/SamplerEulerAncestralCFGPP.mdx b/built-in-nodes/SamplerEulerAncestralCFGPP.mdx new file mode 100644 index 000000000..12d7e771b --- /dev/null +++ b/built-in-nodes/SamplerEulerAncestralCFGPP.mdx @@ -0,0 +1,22 @@ +--- +title: "SamplerEulerAncestralCFGPP - ComfyUI Built-in Node Documentation" +description: "The SamplerEulerAncestralCFGPP node creates a specialized sampler for generating images using the Euler Ancestral method with classifier-free guidance. This sampler combines ancestral sampling tech..." +sidebarTitle: "SamplerEulerAncestralCFGPP" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/en.md) + +The SamplerEulerAncestralCFGPP node creates a specialized sampler for generating images using the Euler Ancestral method with classifier-free guidance. This sampler combines ancestral sampling techniques with guidance conditioning to produce diverse image variations while maintaining coherence. It allows fine-tuning of the sampling process through parameters that control noise and step size adjustments. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `eta` | FLOAT | Yes | 0.0 - 1.0 | Controls the step size during sampling, with higher values resulting in more aggressive updates (default: 1.0) | +| `s_noise` | FLOAT | Yes | 0.0 - 10.0 | Adjusts the amount of noise added during the sampling process (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | Returns a configured sampler object that can be used in the image generation pipeline | diff --git a/built-in-nodes/SamplerEulerCFGpp.mdx b/built-in-nodes/SamplerEulerCFGpp.mdx new file mode 100644 index 000000000..a241a92b0 --- /dev/null +++ b/built-in-nodes/SamplerEulerCFGpp.mdx @@ -0,0 +1,21 @@ +--- +title: "SamplerEulerCFGpp - ComfyUI Built-in Node Documentation" +description: "The SamplerEulerCFGpp node provides an Euler CFG++ sampling method for generating outputs. This node offers two different implementation versions of the Euler CFG++ sampler that can be selected bas..." +sidebarTitle: "SamplerEulerCFGpp" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerCFGpp/en.md) + +The SamplerEulerCFGpp node provides an Euler CFG++ sampling method for generating outputs. This node offers two different implementation versions of the Euler CFG++ sampler that can be selected based on user preference. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `version` | STRING | Yes | `"regular"`
`"alternative"` | The implementation version of the Euler CFG++ sampler to use | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | Returns a configured Euler CFG++ sampler instance | diff --git a/built-in-nodes/SamplerLCMUpscale.mdx b/built-in-nodes/SamplerLCMUpscale.mdx new file mode 100644 index 000000000..ab6073190 --- /dev/null +++ b/built-in-nodes/SamplerLCMUpscale.mdx @@ -0,0 +1,23 @@ +--- +title: "SamplerLCMUpscale - ComfyUI Built-in Node Documentation" +description: "The SamplerLCMUpscale node provides a specialized sampling method that combines Latent Consistency Model (LCM) sampling with image upscaling capabilities. It allows you to upscale images during the..." +sidebarTitle: "SamplerLCMUpscale" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCMUpscale/en.md) + +The SamplerLCMUpscale node provides a specialized sampling method that combines Latent Consistency Model (LCM) sampling with image upscaling capabilities. It allows you to upscale images during the sampling process using various interpolation methods, making it useful for generating higher resolution outputs while maintaining image quality. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `scale_ratio` | FLOAT | No | 0.1 - 20.0 | The scaling factor to apply during upscaling (default: 1.0) | +| `scale_steps` | INT | No | -1 - 1000 | The number of steps to use for upscaling process. Use -1 for automatic calculation (default: -1) | +| `upscale_method` | COMBO | Yes | "bislerp"
"nearest-exact"
"bilinear"
"area"
"bicubic" | The interpolation method used for upscaling the image | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | Returns a configured sampler object that can be used in the sampling pipeline | diff --git a/built-in-nodes/SamplerLMS.mdx b/built-in-nodes/SamplerLMS.mdx new file mode 100644 index 000000000..52cc5214a --- /dev/null +++ b/built-in-nodes/SamplerLMS.mdx @@ -0,0 +1,21 @@ +--- +title: "SamplerLMS - ComfyUI Built-in Node Documentation" +description: "The SamplerLMS node creates a Least Mean Squares (LMS) sampler for use in diffusion models. It generates a sampler object that can be used in the sampling process, allowing you to control the order..." +sidebarTitle: "SamplerLMS" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLMS/en.md) + +The SamplerLMS node creates a Least Mean Squares (LMS) sampler for use in diffusion models. It generates a sampler object that can be used in the sampling process, allowing you to control the order of the LMS algorithm for numerical stability and accuracy. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `order` | INT | Yes | 1 to 100 | The order parameter for the LMS sampler algorithm, which controls the numerical method's accuracy and stability (default: 4) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | A configured LMS sampler object that can be used in the sampling pipeline | diff --git a/built-in-nodes/SamplerSASolver.mdx b/built-in-nodes/SamplerSASolver.mdx new file mode 100644 index 000000000..110f056aa --- /dev/null +++ b/built-in-nodes/SamplerSASolver.mdx @@ -0,0 +1,29 @@ +--- +title: "SamplerSASolver - ComfyUI Built-in Node Documentation" +description: "The SamplerSASolver node implements a custom sampling algorithm for diffusion models. It uses a predictor-corrector approach with configurable order settings and stochastic differential equation (S..." +sidebarTitle: "SamplerSASolver" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSASolver/en.md) + +The SamplerSASolver node implements a custom sampling algorithm for diffusion models. It uses a predictor-corrector approach with configurable order settings and stochastic differential equation (SDE) parameters to generate samples from the input model. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to use for sampling | +| `eta` | FLOAT | Yes | 0.0 - 10.0 | Controls the step size scaling factor (default: 1.0) | +| `sde_start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting percentage for SDE sampling (default: 0.2) | +| `sde_end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending percentage for SDE sampling (default: 0.8) | +| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | +| `predictor_order` | INT | Yes | 1 - 6 | The order of the predictor component in the solver (default: 3) | +| `corrector_order` | INT | Yes | 0 - 6 | The order of the corrector component in the solver (default: 4) | +| `use_pece` | BOOLEAN | Yes | - | Enables or disables the PECE (Predict-Evaluate-Correct-Evaluate) method | +| `simple_order_2` | BOOLEAN | Yes | - | Enables or disables simplified second-order calculations | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | A configured sampler object that can be used with diffusion models | diff --git a/built-in-nodes/SamplerSEEDS2.mdx b/built-in-nodes/SamplerSEEDS2.mdx new file mode 100644 index 000000000..e1978cfb8 --- /dev/null +++ b/built-in-nodes/SamplerSEEDS2.mdx @@ -0,0 +1,24 @@ +--- +title: "SamplerSEEDS2 - ComfyUI Built-in Node Documentation" +description: "This node provides a configurable sampler for generating images. It implements the SEEDS-2 algorithm, which is a stochastic differential equation (SDE) solver. By adjusting its parameters, you can ..." +sidebarTitle: "SamplerSEEDS2" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSEEDS2/en.md) + +This node provides a configurable sampler for generating images. It implements the SEEDS-2 algorithm, which is a stochastic differential equation (SDE) solver. By adjusting its parameters, you can configure it to behave like several specific samplers, including `seeds_2`, `exp_heun_2_x0`, and `exp_heun_2_x0_sde`. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `solver_type` | COMBO | Yes | `"phi_1"`
`"phi_2"` | Selects the underlying solver algorithm for the sampler. | +| `eta` | FLOAT | No | 0.0 - 100.0 | Stochastic strength (default: 1.0). | +| `s_noise` | FLOAT | No | 0.0 - 100.0 | SDE noise multiplier (default: 1.0). | +| `r` | FLOAT | No | 0.01 - 1.0 | Relative step size for the intermediate stage (c2 node) (default: 0.5). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | A configured sampler object that can be passed to other sampling nodes. | diff --git a/built-in-nodes/SamplingPercentToSigma.mdx b/built-in-nodes/SamplingPercentToSigma.mdx new file mode 100644 index 000000000..01ed0da42 --- /dev/null +++ b/built-in-nodes/SamplingPercentToSigma.mdx @@ -0,0 +1,23 @@ +--- +title: "SamplingPercentToSigma - ComfyUI Built-in Node Documentation" +description: "The SamplingPercentToSigma node converts a sampling percentage value to a corresponding sigma value using the model's sampling parameters. It takes a percentage value between 0.0 and 1.0 and maps i..." +sidebarTitle: "SamplingPercentToSigma" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplingPercentToSigma/en.md) + +The SamplingPercentToSigma node converts a sampling percentage value to a corresponding sigma value using the model's sampling parameters. It takes a percentage value between 0.0 and 1.0 and maps it to the appropriate sigma value in the model's noise schedule, with options to return either the calculated sigma or the actual maximum/minimum sigma values at the boundaries. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model containing the sampling parameters used for conversion | +| `sampling_percent` | FLOAT | Yes | 0.0 to 1.0 | The sampling percentage to convert to sigma (default: 0.0) | +| `return_actual_sigma` | BOOLEAN | Yes | - | Return the actual sigma value instead of the value used for interval checks. This only affects results at 0.0 and 1.0. (default: False) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sigma_value` | FLOAT | The converted sigma value corresponding to the input sampling percentage | diff --git a/built-in-nodes/SaveAnimatedPNG.mdx b/built-in-nodes/SaveAnimatedPNG.mdx new file mode 100644 index 000000000..369112c02 --- /dev/null +++ b/built-in-nodes/SaveAnimatedPNG.mdx @@ -0,0 +1,23 @@ +--- +title: "SaveAnimatedPNG - ComfyUI Built-in Node Documentation" +description: "The SaveAnimatedPNG node is designed for creating and saving animated PNG images from a sequence of frames. It handles the assembly of individual image frames into a cohesive animation, allowing fo..." +sidebarTitle: "SaveAnimatedPNG" +icon: "circle" +--- + +The SaveAnimatedPNG node is designed for creating and saving animated PNG images from a sequence of frames. It handles the assembly of individual image frames into a cohesive animation, allowing for customization of frame duration, looping, and metadata inclusion. + +## Inputs + +| Field | Data Type | Description | +|-------------------|-------------|-------------------------------------------------------------------------------------| +| `images` | `IMAGE` | A list of images to be processed and saved as an animated PNG. Each image in the list represents a frame in the animation. | +| `filename_prefix` | `STRING` | Specifies the base name for the output file, which will be used as a prefix for the generated animated PNG files. | +| `fps` | `FLOAT` | The frames per second rate for the animation, controlling how quickly the frames are displayed. | +| `compress_level` | `INT` | The level of compression applied to the animated PNG files, affecting file size and image clarity. | + +## Outputs + +| Field | Data Type | Description | +|-------|-------------|-----------------------------------------------------------------------------------| +| `ui` | N/A | Provides a UI component displaying the generated animated PNG images and indicating whether the animation is single-frame or multi-frame. | diff --git a/built-in-nodes/SaveAnimatedWEBP.mdx b/built-in-nodes/SaveAnimatedWEBP.mdx new file mode 100644 index 000000000..58da34cfb --- /dev/null +++ b/built-in-nodes/SaveAnimatedWEBP.mdx @@ -0,0 +1,25 @@ +--- +title: "SaveAnimatedWEBP - ComfyUI Built-in Node Documentation" +description: "This node is designed for saving a sequence of images as an animated WEBP file. It handles the aggregation of individual frames into a cohesive animation, applying specified metadata, and optimizin..." +sidebarTitle: "SaveAnimatedWEBP" +icon: "circle" +--- + +This node is designed for saving a sequence of images as an animated WEBP file. It handles the aggregation of individual frames into a cohesive animation, applying specified metadata, and optimizing the output based on quality and compression settings. + +## Inputs + +| Field | Data Type | Description | +|-------------------|-------------|-------------------------------------------------------------------------------------| +| `images` | `IMAGE` | A list of images to be saved as frames in the animated WEBP. This parameter is essential for defining the visual content of the animation. | +| `filename_prefix` | `STRING` | Specifies the base name for the output file, which will be appended with a counter and the '.webp' extension. This parameter is crucial for identifying and organizing the saved files. | +| `fps` | `FLOAT` | The frames per second rate for the animation, influencing the playback speed. | +| `lossless` | `BOOLEAN` | A boolean indicating whether to use lossless compression, affecting the file size and quality of the animation. | +| `quality` | `INT` | A value between 0 and 100 that sets the compression quality level, with higher values resulting in better image quality but larger file sizes. | +| `method` | COMBO[STRING] | Specifies the compression method to use, which can impact the encoding speed and file size. | + +## Outputs + +| Field | Data Type | Description | +|-------|-------------|-----------------------------------------------------------------------------------| +| `ui` | N/A | Provides a UI component displaying the saved animated WEBP images along with their metadata, and indicates whether the animation is enabled. | diff --git a/built-in-nodes/SaveAudio.mdx b/built-in-nodes/SaveAudio.mdx new file mode 100644 index 000000000..a069ac434 --- /dev/null +++ b/built-in-nodes/SaveAudio.mdx @@ -0,0 +1,24 @@ +--- +title: "SaveAudio - ComfyUI Built-in Node Documentation" +description: "The SaveAudio node saves audio data to a file in FLAC format. It takes audio input and writes it to the specified output directory with the given filename prefix. The node automatically handles fil..." +sidebarTitle: "SaveAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudio/en.md) + +The SaveAudio node saves audio data to a file in FLAC format. It takes audio input and writes it to the specified output directory with the given filename prefix. The node automatically handles file naming and ensures the audio is properly saved for later use. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | - | The audio data to be saved | +| `filename_prefix` | STRING | No | - | The prefix for the output filename (default: "audio/ComfyUI") | + +*Note: The `prompt` and `extra_pnginfo` parameters are hidden and automatically handled by the system.* + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| *None* | - | This node does not return any output data but saves the audio file to the output directory | diff --git a/built-in-nodes/SaveAudioMP3.mdx b/built-in-nodes/SaveAudioMP3.mdx new file mode 100644 index 000000000..61ebeeb96 --- /dev/null +++ b/built-in-nodes/SaveAudioMP3.mdx @@ -0,0 +1,25 @@ +--- +title: "SaveAudioMP3 - ComfyUI Built-in Node Documentation" +description: "The SaveAudioMP3 node saves audio data as an MP3 file. It takes audio input and exports it to the specified output directory with customizable filename and quality settings. The node automatically ..." +sidebarTitle: "SaveAudioMP3" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioMP3/en.md) + +The SaveAudioMP3 node saves audio data as an MP3 file. It takes audio input and exports it to the specified output directory with customizable filename and quality settings. The node automatically handles file naming and format conversion to create a playable MP3 file. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | - | The audio data to be saved as an MP3 file | +| `filename_prefix` | STRING | No | - | The prefix for the output filename (default: "audio/ComfyUI") | +| `quality` | STRING | No | "V0"
"128k"
"320k" | The audio quality setting for the MP3 file (default: "V0") | +| `prompt` | PROMPT | No | - | Internal prompt data (automatically provided by the system) | +| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Additional PNG information (automatically provided by the system) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| *None* | - | This node does not return any output data, but saves the audio file to the output directory | diff --git a/built-in-nodes/SaveAudioOpus.mdx b/built-in-nodes/SaveAudioOpus.mdx new file mode 100644 index 000000000..4c7ecde4a --- /dev/null +++ b/built-in-nodes/SaveAudioOpus.mdx @@ -0,0 +1,23 @@ +--- +title: "SaveAudioOpus - ComfyUI Built-in Node Documentation" +description: "The SaveAudioOpus node saves audio data to an Opus format file. It takes audio input and exports it as a compressed Opus file with configurable quality settings. The node automatically handles file..." +sidebarTitle: "SaveAudioOpus" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioOpus/en.md) + +The SaveAudioOpus node saves audio data to an Opus format file. It takes audio input and exports it as a compressed Opus file with configurable quality settings. The node automatically handles file naming and saves the output to the designated output directory. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | - | The audio data to be saved as an Opus file | +| `filename_prefix` | STRING | No | - | The prefix for the output filename (default: "audio/ComfyUI") | +| `quality` | COMBO | No | "64k"
"96k"
"128k"
"192k"
"320k" | The audio quality setting for the Opus file (default: "128k") | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| - | - | This node does not return any output values. It saves the audio file to disk as its primary function. | diff --git a/built-in-nodes/SaveGLB.mdx b/built-in-nodes/SaveGLB.mdx new file mode 100644 index 000000000..ac55a8f74 --- /dev/null +++ b/built-in-nodes/SaveGLB.mdx @@ -0,0 +1,22 @@ +--- +title: "SaveGLB - ComfyUI Built-in Node Documentation" +description: "The SaveGLB node saves 3D mesh data as GLB files, which is a common format for 3D models. It takes mesh data as input and exports it to the output directory with the specified filename prefix. The ..." +sidebarTitle: "SaveGLB" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveGLB/en.md) + +The SaveGLB node saves 3D mesh data as GLB files, which is a common format for 3D models. It takes mesh data as input and exports it to the output directory with the specified filename prefix. The node can save multiple meshes if the input contains multiple mesh objects, and it automatically adds metadata to the files when metadata is enabled. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `mesh` | MESH | Yes | - | The 3D mesh data to be saved as a GLB file | +| `filename_prefix` | STRING | No | - | The prefix for the output filename (default: "mesh/ComfyUI") | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `ui` | UI | Displays the saved GLB files in the user interface with filename and subfolder information | diff --git a/built-in-nodes/SaveImage.mdx b/built-in-nodes/SaveImage.mdx new file mode 100644 index 000000000..c5455d53b --- /dev/null +++ b/built-in-nodes/SaveImage.mdx @@ -0,0 +1,22 @@ +--- +title: "SaveImage - ComfyUI Built-in Node Documentation" +description: "The SaveImage node saves the images it receives to your `ComfyUI/output` directory. It saves each image as a PNG file and can embed workflow metadata, such as the prompt, into the saved file for fu..." +sidebarTitle: "SaveImage" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImage/en.md) + +The SaveImage node saves the images it receives to your `ComfyUI/output` directory. It saves each image as a PNG file and can embed workflow metadata, such as the prompt, into the saved file for future reference. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | - | The images to save. | +| `filename_prefix` | STRING | Yes | - | The prefix for the file to save. This may include formatting information such as `%date:yyyy-MM-dd%` or `%Empty Latent Image.width%` to include values from nodes (default: "ComfyUI"). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `ui` | UI_RESULT | This node outputs a UI result containing a list of the saved images with their filenames and subfolders. It does not output data for connecting to other nodes. | diff --git a/built-in-nodes/SaveImageDataSetToFolder.mdx b/built-in-nodes/SaveImageDataSetToFolder.mdx new file mode 100644 index 000000000..036c524e0 --- /dev/null +++ b/built-in-nodes/SaveImageDataSetToFolder.mdx @@ -0,0 +1,23 @@ +--- +title: "SaveImageDataSetToFolder - ComfyUI Built-in Node Documentation" +description: "This node saves a list of images to a specified folder within ComfyUI's output directory. It takes multiple images as input and writes them to disk with a customizable filename prefix." +sidebarTitle: "SaveImageDataSetToFolder" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/en.md) + +This node saves a list of images to a specified folder within ComfyUI's output directory. It takes multiple images as input and writes them to disk with a customizable filename prefix. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | N/A | List of images to save. | +| `folder_name` | STRING | No | N/A | Name of the folder to save images to (inside output directory). The default value is "dataset". | +| `filename_prefix` | STRING | No | N/A | Prefix for saved image filenames. The default value is "image". | + +**Note:** The `images` input is a list, meaning it can receive and process multiple images at once. The `folder_name` and `filename_prefix` parameters are scalar values; if a list is connected, only the first value from that list will be used. + +## Outputs + +This node does not have any outputs. It is an output node that performs a save operation to the filesystem. diff --git a/built-in-nodes/SaveImageTextDataSetToFolder.mdx b/built-in-nodes/SaveImageTextDataSetToFolder.mdx new file mode 100644 index 000000000..b403add87 --- /dev/null +++ b/built-in-nodes/SaveImageTextDataSetToFolder.mdx @@ -0,0 +1,26 @@ +--- +title: "SaveImageTextDataSetToFolder - ComfyUI Built-in Node Documentation" +description: "The Save Image and Text Dataset to Folder node saves a list of images and their corresponding text captions to a specified folder within ComfyUI's output directory. For each image saved as a PNG fi..." +sidebarTitle: "SaveImageTextDataSetToFolder" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/en.md) + +The Save Image and Text Dataset to Folder node saves a list of images and their corresponding text captions to a specified folder within ComfyUI's output directory. For each image saved as a PNG file, a matching text file with the same base name is created to store its caption. This is useful for creating organized datasets of generated images and their descriptions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | - | List of images to save. | +| `texts` | STRING | Yes | - | List of text captions to save. | +| `folder_name` | STRING | No | - | Name of the folder to save images to (inside output directory). (default: "dataset") | +| `filename_prefix` | STRING | No | - | Prefix for saved image filenames. (default: "image") | + +**Note:** The `images` and `texts` inputs are lists. The node expects the number of text captions to match the number of images provided. Each caption will be saved in a `.txt` file corresponding to its paired image. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| - | - | This node does not have any outputs. It saves files directly to the filesystem. | diff --git a/built-in-nodes/SaveLatent.mdx b/built-in-nodes/SaveLatent.mdx new file mode 100644 index 000000000..7c9a93f13 --- /dev/null +++ b/built-in-nodes/SaveLatent.mdx @@ -0,0 +1,24 @@ +--- +title: "SaveLatent - ComfyUI Built-in Node Documentation" +description: "The SaveLatent node saves latent tensors to disk as files for later use or sharing. It takes latent samples and saves them to the output directory with optional metadata including prompt informatio..." +sidebarTitle: "SaveLatent" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLatent/en.md) + +The SaveLatent node saves latent tensors to disk as files for later use or sharing. It takes latent samples and saves them to the output directory with optional metadata including prompt information. The node automatically handles file naming and organization while preserving the latent data structure. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples` | LATENT | Yes | - | The latent samples to be saved to disk | +| `filename_prefix` | STRING | No | - | The prefix for the output filename (default: "latents/ComfyUI") | +| `prompt` | PROMPT | No | - | Prompt information to include in metadata (hidden parameter) | +| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Additional PNG information to include in metadata (hidden parameter) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `ui` | UI | Provides file location information for the saved latent in the ComfyUI interface | diff --git a/built-in-nodes/SaveLoRA.mdx b/built-in-nodes/SaveLoRA.mdx new file mode 100644 index 000000000..0b6cd93f6 --- /dev/null +++ b/built-in-nodes/SaveLoRA.mdx @@ -0,0 +1,25 @@ +--- +title: "SaveLoRA - ComfyUI Built-in Node Documentation" +description: "The SaveLoRA node saves a LoRA (Low-Rank Adaptation) model to a file. It takes a LoRA model as input and writes it to a `.safetensors` file in the output directory. You can specify a filename prefi..." +sidebarTitle: "SaveLoRA" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRA/en.md) + +The SaveLoRA node saves a LoRA (Low-Rank Adaptation) model to a file. It takes a LoRA model as input and writes it to a `.safetensors` file in the output directory. You can specify a filename prefix and an optional step count to be included in the final filename. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `lora` | MODEL | Yes | N/A | The LoRA model to save. Do not use the model with LoRA layers. | +| `prefix` | STRING | Yes | N/A | The prefix to use for the saved LoRA file (default: "loras/ComfyUI_trained_lora"). | +| `steps` | INT | No | N/A | Optional: The number of steps the LoRA has been trained for, used to name the saved file. | + +**Note:** The `lora` input must be a pure LoRA model. Do not provide a base model that has LoRA layers applied to it. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| *None* | N/A | This node does not output any data to the workflow. It is an output node that saves a file to disk. | diff --git a/built-in-nodes/SaveLoRANode.mdx b/built-in-nodes/SaveLoRANode.mdx new file mode 100644 index 000000000..6e8ff2042 --- /dev/null +++ b/built-in-nodes/SaveLoRANode.mdx @@ -0,0 +1,23 @@ +--- +title: "SaveLoRANode - ComfyUI Built-in Node Documentation" +description: "The SaveLoRA node saves LoRA (Low-Rank Adaptation) models to your output directory. It takes a LoRA model as input and creates a safetensors file with an automatically generated filename. You can c..." +sidebarTitle: "SaveLoRANode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRANode/en.md) + +The SaveLoRA node saves LoRA (Low-Rank Adaptation) models to your output directory. It takes a LoRA model as input and creates a safetensors file with an automatically generated filename. You can customize the filename prefix and optionally include the training step count in the filename for better organization. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `lora` | LORA_MODEL | Yes | - | The LoRA model to save. Do not use the model with LoRA layers. | +| `prefix` | STRING | Yes | - | The prefix to use for the saved LoRA file (default: "loras/ComfyUI_trained_lora"). | +| `steps` | INT | No | - | Optional: The number of steps the LoRA has been trained for, used to name the saved file. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| *None* | - | This node does not return any outputs but saves the LoRA model to the output directory. | diff --git a/built-in-nodes/SaveSVGNode.mdx b/built-in-nodes/SaveSVGNode.mdx new file mode 100644 index 000000000..96c0f655a --- /dev/null +++ b/built-in-nodes/SaveSVGNode.mdx @@ -0,0 +1,24 @@ +--- +title: "SaveSVGNode - ComfyUI Built-in Node Documentation" +description: "Save SVG files on disk. This node takes SVG data as input and saves it to your output directory with optional metadata embedding. The node automatically handles file naming with counter suffixes an..." +sidebarTitle: "SaveSVGNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveSVGNode/en.md) + +Save SVG files on disk. This node takes SVG data as input and saves it to your output directory with optional metadata embedding. The node automatically handles file naming with counter suffixes and can embed workflow prompt information directly into the SVG file. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `svg` | SVG | Yes | - | The SVG data to be saved to disk | +| `filename_prefix` | STRING | Yes | - | The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes. (default: "svg/ComfyUI") | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `ui` | DICT | Returns file information including filename, subfolder, and type for display in the ComfyUI interface | + +**Note:** This node automatically embeds workflow metadata (prompt and extra PNG information) into the SVG file when available. The metadata is inserted as a CDATA section within the SVG's metadata element. diff --git a/built-in-nodes/SaveTrainingDataset.mdx b/built-in-nodes/SaveTrainingDataset.mdx new file mode 100644 index 000000000..de8893006 --- /dev/null +++ b/built-in-nodes/SaveTrainingDataset.mdx @@ -0,0 +1,24 @@ +--- +title: "SaveTrainingDataset - ComfyUI Built-in Node Documentation" +description: "This node saves a prepared training dataset to your computer's hard drive. It takes encoded data, which includes image latents and their corresponding text conditioning, and organizes them into mul..." +sidebarTitle: "SaveTrainingDataset" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveTrainingDataset/en.md) + +This node saves a prepared training dataset to your computer's hard drive. It takes encoded data, which includes image latents and their corresponding text conditioning, and organizes them into multiple smaller files called shards for easier management. The node automatically creates a folder in your output directory and saves both the data files and a metadata file describing the dataset. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `latents` | LATENT | Yes | N/A | List of latent dicts from MakeTrainingDataset. | +| `conditioning` | CONDITIONING | Yes | N/A | List of conditioning lists from MakeTrainingDataset. | +| `folder_name` | STRING | No | N/A | Name of folder to save dataset (inside output directory). (default: "training_dataset") | +| `shard_size` | INT | No | 1 to 100000 | Number of samples per shard file. (default: 1000) | + +**Note:** The number of items in the `latents` list must exactly match the number of items in the `conditioning` list. The node will raise an error if these counts do not match. + +## Outputs + +This node does not produce any output data. Its function is to save files to your disk. diff --git a/built-in-nodes/SaveVideo.mdx b/built-in-nodes/SaveVideo.mdx new file mode 100644 index 000000000..23dc090df --- /dev/null +++ b/built-in-nodes/SaveVideo.mdx @@ -0,0 +1,24 @@ +--- +title: "SaveVideo - ComfyUI Built-in Node Documentation" +description: "The SaveVideo node saves input video content to your ComfyUI output directory. It allows you to specify the filename prefix, video format, and codec for the saved file. The node automatically handl..." +sidebarTitle: "SaveVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveVideo/en.md) + +The SaveVideo node saves input video content to your ComfyUI output directory. It allows you to specify the filename prefix, video format, and codec for the saved file. The node automatically handles file naming with counter increments and can include workflow metadata in the saved video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | - | The video to save. | +| `filename_prefix` | STRING | No | - | The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes (default: "video/ComfyUI"). | +| `format` | COMBO | No | Multiple options available | The format to save the video as (default: "auto"). | +| `codec` | COMBO | No | Multiple options available | The codec to use for the video (default: "auto"). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| *No outputs* | - | This node does not return any output data. | diff --git a/built-in-nodes/SaveWEBM.mdx b/built-in-nodes/SaveWEBM.mdx new file mode 100644 index 000000000..b7e26318b --- /dev/null +++ b/built-in-nodes/SaveWEBM.mdx @@ -0,0 +1,25 @@ +--- +title: "SaveWEBM - ComfyUI Built-in Node Documentation" +description: "The SaveWEBM node saves a sequence of images as a WEBM video file. It takes multiple input images and encodes them into a video using either VP9 or AV1 codec with configurable quality settings and ..." +sidebarTitle: "SaveWEBM" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveWEBM/en.md) + +The SaveWEBM node saves a sequence of images as a WEBM video file. It takes multiple input images and encodes them into a video using either VP9 or AV1 codec with configurable quality settings and frame rate. The resulting video file is saved to the output directory with metadata including prompt information. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | - | Sequence of input images to encode as video frames | +| `filename_prefix` | STRING | No | - | Prefix for the output filename (default: "ComfyUI") | +| `codec` | COMBO | Yes | "vp9"
"av1" | Video codec to use for encoding | +| `fps` | FLOAT | No | 0.01-1000.0 | Frame rate for the output video (default: 24.0) | +| `crf` | FLOAT | No | 0-63.0 | Quality setting where higher crf means lower quality with smaller file size, lower crf means higher quality with larger file size (default: 32.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `ui` | PREVIEW | Video preview showing the saved WEBM file | diff --git a/built-in-nodes/ScaleROPE.mdx b/built-in-nodes/ScaleROPE.mdx new file mode 100644 index 000000000..56d078b32 --- /dev/null +++ b/built-in-nodes/ScaleROPE.mdx @@ -0,0 +1,27 @@ +--- +title: "ScaleROPE - ComfyUI Built-in Node Documentation" +description: "The ScaleROPE node allows you to modify the Rotary Position Embedding (ROPE) of a model by applying separate scaling and shifting factors to its X, Y, and T (time) components. This is an advanced, ..." +sidebarTitle: "ScaleROPE" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ScaleROPE/en.md) + +The ScaleROPE node allows you to modify the Rotary Position Embedding (ROPE) of a model by applying separate scaling and shifting factors to its X, Y, and T (time) components. This is an advanced, experimental node used to adjust the model's positional encoding behavior. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model whose ROPE parameters will be modified. | +| `scale_x` | FLOAT | No | 0.0 - 100.0 | The scaling factor to apply to the X component of the ROPE (default: 1.0). | +| `shift_x` | FLOAT | No | -256.0 - 256.0 | The shift value to apply to the X component of the ROPE (default: 0.0). | +| `scale_y` | FLOAT | No | 0.0 - 100.0 | The scaling factor to apply to the Y component of the ROPE (default: 1.0). | +| `shift_y` | FLOAT | No | -256.0 - 256.0 | The shift value to apply to the Y component of the ROPE (default: 0.0). | +| `scale_t` | FLOAT | No | 0.0 - 100.0 | The scaling factor to apply to the T (time) component of the ROPE (default: 1.0). | +| `shift_t` | FLOAT | No | -256.0 - 256.0 | The shift value to apply to the T (time) component of the ROPE (default: 0.0). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The model with the new ROPE scaling and shifting parameters applied. | diff --git a/built-in-nodes/Sd4xupscaleConditioning.mdx b/built-in-nodes/Sd4xupscaleConditioning.mdx new file mode 100644 index 000000000..fb9cb6747 --- /dev/null +++ b/built-in-nodes/Sd4xupscaleConditioning.mdx @@ -0,0 +1,26 @@ +--- +title: "Sd4xupscaleConditioning - ComfyUI Built-in Node Documentation" +description: "This node specializes in enhancing the resolution of images through a 4x upscale process, incorporating conditioning elements to refine the output. It leverages diffusion techniques to upscale imag..." +sidebarTitle: "Sd4xupscaleConditioning" +icon: "circle" +--- + +This node specializes in enhancing the resolution of images through a 4x upscale process, incorporating conditioning elements to refine the output. It leverages diffusion techniques to upscale images while allowing for the adjustment of scale ratio and noise augmentation to fine-tune the enhancement process. + +## Inputs + +| Parameter | Comfy dtype | Description | +|----------------------|--------------------|-------------| +| `images` | `IMAGE` | The input images to be upscaled. This parameter is crucial as it directly influences the quality and resolution of the output images. | +| `positive` | `CONDITIONING` | Positive conditioning elements that guide the upscale process towards desired attributes or features in the output images. | +| `negative` | `CONDITIONING` | Negative conditioning elements that the upscale process should avoid, helping to steer the output away from undesired attributes or features. | +| `scale_ratio` | `FLOAT` | Determines the factor by which the image resolution is increased. A higher scale ratio results in a larger output image, allowing for greater detail and clarity. | +| `noise_augmentation` | `FLOAT` | Controls the level of noise augmentation applied during the upscale process. This can be used to introduce variability and improve the robustness of the output images. | + +## Outputs + +| Parameter | Data Type | Description | +|---------------|--------------|-------------| +| `positive` | `CONDITIONING` | The refined positive conditioning elements resulting from the upscale process. | +| `negative` | `CONDITIONING` | The refined negative conditioning elements resulting from the upscale process. | +| `latent` | `LATENT` | A latent representation generated during the upscale process, which can be utilized in further processing or model training. | diff --git a/built-in-nodes/SelfAttentionGuidance.mdx b/built-in-nodes/SelfAttentionGuidance.mdx new file mode 100644 index 000000000..c58ebb53e --- /dev/null +++ b/built-in-nodes/SelfAttentionGuidance.mdx @@ -0,0 +1,25 @@ +--- +title: "SelfAttentionGuidance - ComfyUI Built-in Node Documentation" +description: "The Self-Attention Guidance node applies guidance to diffusion models by modifying the attention mechanism during the sampling process. It captures attention scores from unconditional denoising ste..." +sidebarTitle: "SelfAttentionGuidance" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelfAttentionGuidance/en.md) + +The Self-Attention Guidance node applies guidance to diffusion models by modifying the attention mechanism during the sampling process. It captures attention scores from unconditional denoising steps and uses them to create blurred guidance maps that influence the final output. This technique helps guide the generation process by leveraging the model's own attention patterns. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to apply self-attention guidance to | +| `scale` | FLOAT | No | -2.0 to 5.0 | The strength of the self-attention guidance effect (default: 0.5) | +| `blur_sigma` | FLOAT | No | 0.0 to 10.0 | The amount of blur applied to create the guidance map (default: 2.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with self-attention guidance applied | + +**Note:** This node is currently experimental and has limitations with chunked batches. It can only save attention scores from one UNet call and may not work properly with larger batch sizes. diff --git a/built-in-nodes/SetClipHooks.mdx b/built-in-nodes/SetClipHooks.mdx new file mode 100644 index 000000000..2f1aa5f4b --- /dev/null +++ b/built-in-nodes/SetClipHooks.mdx @@ -0,0 +1,24 @@ +--- +title: "SetClipHooks - ComfyUI Built-in Node Documentation" +description: "The SetClipHooks node allows you to apply custom hooks to a CLIP model, enabling advanced modifications to its behavior. It can apply hooks to conditioning outputs and optionally enable clip schedu..." +sidebarTitle: "SetClipHooks" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetClipHooks/en.md) + +The SetClipHooks node allows you to apply custom hooks to a CLIP model, enabling advanced modifications to its behavior. It can apply hooks to conditioning outputs and optionally enable clip scheduling functionality. This node creates a cloned copy of the input CLIP model with the specified hook configurations applied. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | The CLIP model to apply hooks to | +| `apply_to_conds` | BOOLEAN | Yes | - | Whether to apply hooks to conditioning outputs (default: True) | +| `schedule_clip` | BOOLEAN | Yes | - | Whether to enable clip scheduling (default: False) | +| `hooks` | HOOKS | No | - | Optional hook group to apply to the CLIP model | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `clip` | CLIP | A cloned CLIP model with the specified hooks applied | diff --git a/built-in-nodes/SetFirstSigma.mdx b/built-in-nodes/SetFirstSigma.mdx new file mode 100644 index 000000000..c2110736b --- /dev/null +++ b/built-in-nodes/SetFirstSigma.mdx @@ -0,0 +1,22 @@ +--- +title: "SetFirstSigma - ComfyUI Built-in Node Documentation" +description: "The SetFirstSigma node modifies a sequence of sigma values by replacing the first sigma value in the sequence with a custom value. It takes an existing sigma sequence and a new sigma value as input..." +sidebarTitle: "SetFirstSigma" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetFirstSigma/en.md) + +The SetFirstSigma node modifies a sequence of sigma values by replacing the first sigma value in the sequence with a custom value. It takes an existing sigma sequence and a new sigma value as inputs, then returns a new sigma sequence where only the first element has been changed while keeping all other sigma values unchanged. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `sigmas` | SIGMAS | Yes | - | The input sequence of sigma values to be modified | +| `sigma` | FLOAT | Yes | 0.0 to 20000.0 | The new sigma value to set as the first element in the sequence (default: 136.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `sigmas` | SIGMAS | The modified sigma sequence with the first element replaced by the custom sigma value | diff --git a/built-in-nodes/SetHookKeyframes.mdx b/built-in-nodes/SetHookKeyframes.mdx new file mode 100644 index 000000000..171ebc7a6 --- /dev/null +++ b/built-in-nodes/SetHookKeyframes.mdx @@ -0,0 +1,22 @@ +--- +title: "SetHookKeyframes - ComfyUI Built-in Node Documentation" +description: "The Set Hook Keyframes node allows you to apply keyframe scheduling to existing hook groups. It takes a hook group and optionally applies keyframe timing information to control when different hooks..." +sidebarTitle: "SetHookKeyframes" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetHookKeyframes/en.md) + +The Set Hook Keyframes node allows you to apply keyframe scheduling to existing hook groups. It takes a hook group and optionally applies keyframe timing information to control when different hooks are executed during the generation process. When keyframes are provided, the node clones the hook group and sets the keyframe timing on all hooks within the group. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `hooks` | HOOKS | Yes | - | The hook group to which keyframe scheduling will be applied | +| `hook_kf` | HOOK_KEYFRAMES | No | - | Optional keyframe group containing timing information for hook execution | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `hooks` | HOOKS | The modified hook group with keyframe scheduling applied (cloned if keyframes were provided) | diff --git a/built-in-nodes/SetLatentNoiseMask.mdx b/built-in-nodes/SetLatentNoiseMask.mdx new file mode 100644 index 000000000..7117a86e1 --- /dev/null +++ b/built-in-nodes/SetLatentNoiseMask.mdx @@ -0,0 +1,21 @@ +--- +title: "SetLatentNoiseMask - ComfyUI Built-in Node Documentation" +description: "This node is designed to apply a noise mask to a set of latent samples. It modifies the input samples by integrating a specified mask, thereby altering their noise characteristics." +sidebarTitle: "SetLatentNoiseMask" +icon: "circle" +--- + +This node is designed to apply a noise mask to a set of latent samples. It modifies the input samples by integrating a specified mask, thereby altering their noise characteristics. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `samples` | `LATENT` | The latent samples to which the noise mask will be applied. This parameter is crucial for determining the base content that will be modified. | +| `mask` | `MASK` | The mask to be applied to the latent samples. It defines the areas and intensity of noise alteration within the samples. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The modified latent samples with the applied noise mask. | diff --git a/built-in-nodes/SetModelHooksOnCond.mdx b/built-in-nodes/SetModelHooksOnCond.mdx new file mode 100644 index 000000000..2dc3f344c --- /dev/null +++ b/built-in-nodes/SetModelHooksOnCond.mdx @@ -0,0 +1,22 @@ +--- +title: "SetModelHooksOnCond - ComfyUI Built-in Node Documentation" +description: "This node attaches custom hooks to conditioning data, allowing you to intercept and modify the conditioning process during model execution. It takes a set of hooks and applies them to the provided ..." +sidebarTitle: "SetModelHooksOnCond" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetModelHooksOnCond/en.md) + +This node attaches custom hooks to conditioning data, allowing you to intercept and modify the conditioning process during model execution. It takes a set of hooks and applies them to the provided conditioning data, enabling advanced customization of the text-to-image generation workflow. The modified conditioning with attached hooks is then returned for use in subsequent processing steps. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `conditioning` | CONDITIONING | Yes | - | The conditioning data to which hooks will be attached | +| `hooks` | HOOKS | Yes | - | The hook definitions that will be applied to the conditioning data | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `conditioning` | CONDITIONING | The modified conditioning data with hooks attached | diff --git a/built-in-nodes/SetUnionControlNetType.mdx b/built-in-nodes/SetUnionControlNetType.mdx new file mode 100644 index 000000000..35cd5ee0f --- /dev/null +++ b/built-in-nodes/SetUnionControlNetType.mdx @@ -0,0 +1,22 @@ +--- +title: "SetUnionControlNetType - ComfyUI Built-in Node Documentation" +description: "The SetUnionControlNetType node allows you to specify the type of control network to use for conditioning. It takes an existing control network and sets its control type based on your selection, cr..." +sidebarTitle: "SetUnionControlNetType" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetUnionControlNetType/en.md) + +The SetUnionControlNetType node allows you to specify the type of control network to use for conditioning. It takes an existing control network and sets its control type based on your selection, creating a modified copy of the control network with the specified type configuration. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `control_net` | CONTROL_NET | Yes | - | The control network to modify with a new type setting | +| `type` | STRING | Yes | `"auto"`
All available UNION_CONTROLNET_TYPES keys | The control network type to apply. Use "auto" for automatic type detection or select a specific control network type from the available options | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `control_net` | CONTROL_NET | The modified control network with the specified type setting applied | diff --git a/built-in-nodes/ShuffleDataset.mdx b/built-in-nodes/ShuffleDataset.mdx new file mode 100644 index 000000000..df34f3d59 --- /dev/null +++ b/built-in-nodes/ShuffleDataset.mdx @@ -0,0 +1,22 @@ +--- +title: "ShuffleDataset - ComfyUI Built-in Node Documentation" +description: "The Shuffle Dataset node takes a list of images and randomly changes their order. It uses a seed value to control the randomness, ensuring the same shuffle order can be reproduced. This is useful f..." +sidebarTitle: "ShuffleDataset" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleDataset/en.md) + +The Shuffle Dataset node takes a list of images and randomly changes their order. It uses a seed value to control the randomness, ensuring the same shuffle order can be reproduced. This is useful for randomizing the sequence of images in a dataset before processing. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | - | The list of images to be shuffled. | +| `seed` | INT | No | 0 to 18446744073709551615 | Random seed. A value of 0 will produce a different shuffle each time. (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `images` | IMAGE | The same list of images, but in a new, randomly shuffled order. | diff --git a/built-in-nodes/ShuffleImageTextDataset.mdx b/built-in-nodes/ShuffleImageTextDataset.mdx new file mode 100644 index 000000000..88cf2dc8a --- /dev/null +++ b/built-in-nodes/ShuffleImageTextDataset.mdx @@ -0,0 +1,26 @@ +--- +title: "ShuffleImageTextDataset - ComfyUI Built-in Node Documentation" +description: "This node shuffles a list of images and a list of texts together, keeping their pairings intact. It uses a random seed to determine the shuffle order, ensuring the same input lists will be shuffled..." +sidebarTitle: "ShuffleImageTextDataset" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleImageTextDataset/en.md) + +This node shuffles a list of images and a list of texts together, keeping their pairings intact. It uses a random seed to determine the shuffle order, ensuring the same input lists will be shuffled in the same way each time the seed is reused. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | - | List of images to shuffle. | +| `texts` | STRING | Yes | - | List of texts to shuffle. | +| `seed` | INT | No | 0 to 18446744073709551615 | Random seed. The shuffle order is determined by this value (default: 0). | + +**Note:** The `images` and `texts` inputs must be lists of the same length. The node will pair the first image with the first text, the second image with the second text, and so on, before shuffling these pairs together. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `images` | IMAGE | The shuffled list of images. | +| `texts` | STRING | The shuffled list of texts, maintaining their original pairings with the images. | diff --git a/built-in-nodes/SkipLayerGuidanceDiT.mdx b/built-in-nodes/SkipLayerGuidanceDiT.mdx new file mode 100644 index 000000000..3e23c01a3 --- /dev/null +++ b/built-in-nodes/SkipLayerGuidanceDiT.mdx @@ -0,0 +1,29 @@ +--- +title: "SkipLayerGuidanceDiT - ComfyUI Built-in Node Documentation" +description: "Enhances guidance towards detailed structure by using another set of CFG negative with skipped layers. This generic version of SkipLayerGuidance can be used on every DiT model and is inspired by Pe..." +sidebarTitle: "SkipLayerGuidanceDiT" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/en.md) + +Enhances guidance towards detailed structure by using another set of CFG negative with skipped layers. This generic version of SkipLayerGuidance can be used on every DiT model and is inspired by Perturbed Attention Guidance. The original experimental implementation was created for SD3. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply skip layer guidance to | +| `double_layers` | STRING | Yes | - | Comma-separated layer numbers for double blocks to skip (default: "7, 8, 9") | +| `single_layers` | STRING | Yes | - | Comma-separated layer numbers for single blocks to skip (default: "7, 8, 9") | +| `scale` | FLOAT | Yes | 0.0 - 10.0 | Guidance scale factor (default: 3.0) | +| `start_percent` | FLOAT | Yes | 0.0 - 1.0 | Starting percentage for guidance application (default: 0.01) | +| `end_percent` | FLOAT | Yes | 0.0 - 1.0 | Ending percentage for guidance application (default: 0.15) | +| `rescaling_scale` | FLOAT | Yes | 0.0 - 10.0 | Rescaling scale factor (default: 0.0) | + +**Note:** If both `double_layers` and `single_layers` are empty (contain no layer numbers), the node returns the original model without applying any guidance. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with skip layer guidance applied | diff --git a/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx b/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx new file mode 100644 index 000000000..ce96c5cd5 --- /dev/null +++ b/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx @@ -0,0 +1,27 @@ +--- +title: "SkipLayerGuidanceDiTSimple - ComfyUI Built-in Node Documentation" +description: "Simple version of the SkipLayerGuidanceDiT node that only modifies the unconditional pass during the denoising process. This node applies skip layer guidance to specific transformer layers in DiT (..." +sidebarTitle: "SkipLayerGuidanceDiTSimple" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/en.md) + +Simple version of the SkipLayerGuidanceDiT node that only modifies the unconditional pass during the denoising process. This node applies skip layer guidance to specific transformer layers in DiT (Diffusion Transformer) models by selectively skipping certain layers during the unconditional pass based on specified timing and layer parameters. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply skip layer guidance to | +| `double_layers` | STRING | Yes | - | Comma-separated list of double block layer indices to skip (default: "7, 8, 9") | +| `single_layers` | STRING | Yes | - | Comma-separated list of single block layer indices to skip (default: "7, 8, 9") | +| `start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting percentage of the denoising process when skip layer guidance begins (default: 0.0) | +| `end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending percentage of the denoising process when skip layer guidance stops (default: 1.0) | + +**Note:** Skip layer guidance is only applied when both `double_layers` and `single_layers` contain valid layer indices. If both are empty, the node returns the original model unchanged. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with skip layer guidance applied to the specified layers | diff --git a/built-in-nodes/SkipLayerGuidanceSD3.mdx b/built-in-nodes/SkipLayerGuidanceSD3.mdx new file mode 100644 index 000000000..97c6ce194 --- /dev/null +++ b/built-in-nodes/SkipLayerGuidanceSD3.mdx @@ -0,0 +1,25 @@ +--- +title: "SkipLayerGuidanceSD3 - ComfyUI Built-in Node Documentation" +description: "The SkipLayerGuidanceSD3 node enhances guidance towards detailed structure by applying an additional set of classifier-free guidance with skipped layers. This experimental implementation is inspire..." +sidebarTitle: "SkipLayerGuidanceSD3" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/en.md) + +The SkipLayerGuidanceSD3 node enhances guidance towards detailed structure by applying an additional set of classifier-free guidance with skipped layers. This experimental implementation is inspired by Perturbed Attention Guidance and works by selectively bypassing certain layers during the negative conditioning process to improve structural details in the generated output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply skip layer guidance to | +| `layers` | STRING | Yes | - | Comma-separated list of layer indices to skip (default: "7, 8, 9") | +| `scale` | FLOAT | Yes | 0.0 - 10.0 | The strength of the skip layer guidance effect (default: 3.0) | +| `start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting point of guidance application as a percentage of total steps (default: 0.01) | +| `end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending point of guidance application as a percentage of total steps (default: 0.15) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with skip layer guidance applied | diff --git a/built-in-nodes/SolidMask.mdx b/built-in-nodes/SolidMask.mdx new file mode 100644 index 000000000..04fe56b6b --- /dev/null +++ b/built-in-nodes/SolidMask.mdx @@ -0,0 +1,22 @@ +--- +title: "SolidMask - ComfyUI Built-in Node Documentation" +description: "The SolidMask node generates a uniform mask with a specified value across its entire area. It's designed to create masks of specific dimensions and intensity, useful in various image processing and..." +sidebarTitle: "SolidMask" +icon: "circle" +--- + +The SolidMask node generates a uniform mask with a specified value across its entire area. It's designed to create masks of specific dimensions and intensity, useful in various image processing and masking tasks. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `value` | FLOAT | Specifies the intensity value of the mask, affecting its overall appearance and utility in subsequent operations. | +| `width` | INT | Determines the width of the generated mask, directly influencing its size and aspect ratio. | +| `height` | INT | Sets the height of the generated mask, affecting its size and aspect ratio. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `mask` | MASK | Outputs a uniform mask with the specified dimensions and value. | diff --git a/built-in-nodes/SplitAudioChannels.mdx b/built-in-nodes/SplitAudioChannels.mdx new file mode 100644 index 000000000..40fc972cd --- /dev/null +++ b/built-in-nodes/SplitAudioChannels.mdx @@ -0,0 +1,24 @@ +--- +title: "SplitAudioChannels - ComfyUI Built-in Node Documentation" +description: "The SplitAudioChannels node separates stereo audio into individual left and right channels. It takes a stereo audio input with two channels and outputs two separate audio streams, one for the left ..." +sidebarTitle: "SplitAudioChannels" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitAudioChannels/en.md) + +The SplitAudioChannels node separates stereo audio into individual left and right channels. It takes a stereo audio input with two channels and outputs two separate audio streams, one for the left channel and one for the right channel. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | - | The stereo audio input to be separated into channels | + +**Note:** The input audio must have exactly two channels (stereo). The node will raise an error if the input audio has only one channel. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `left` | AUDIO | The separated left channel audio | +| `right` | AUDIO | The separated right channel audio | diff --git a/built-in-nodes/SplitImageWithAlpha.mdx b/built-in-nodes/SplitImageWithAlpha.mdx new file mode 100644 index 000000000..fca225afd --- /dev/null +++ b/built-in-nodes/SplitImageWithAlpha.mdx @@ -0,0 +1,21 @@ +--- +title: "SplitImageWithAlpha - ComfyUI Built-in Node Documentation" +description: "The SplitImageWithAlpha node is designed to separate the color and alpha components of an image. It processes an input image tensor, extracting the RGB channels as the color component and the alpha..." +sidebarTitle: "SplitImageWithAlpha" +icon: "circle" +--- + +The SplitImageWithAlpha node is designed to separate the color and alpha components of an image. It processes an input image tensor, extracting the RGB channels as the color component and the alpha channel as the transparency component, facilitating operations that require manipulation of these distinct image aspects. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The 'image' parameter represents the input image tensor from which the RGB and alpha channels are to be separated. It is crucial for the operation as it provides the source data for the split. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The 'image' output represents the separated RGB channels of the input image, providing the color component without the transparency information. | +| `mask` | `MASK` | The 'mask' output represents the separated alpha channel of the input image, providing the transparency information. | diff --git a/built-in-nodes/SplitSigmas.mdx b/built-in-nodes/SplitSigmas.mdx new file mode 100644 index 000000000..b7de9a460 --- /dev/null +++ b/built-in-nodes/SplitSigmas.mdx @@ -0,0 +1,21 @@ +--- +title: "SplitSigmas - ComfyUI Built-in Node Documentation" +description: "The SplitSigmas node is designed for dividing a sequence of sigma values into two parts based on a specified step. This functionality is crucial for operations that require different handling or pr..." +sidebarTitle: "SplitSigmas" +icon: "circle" +--- + +The SplitSigmas node is designed for dividing a sequence of sigma values into two parts based on a specified step. This functionality is crucial for operations that require different handling or processing of the initial and subsequent parts of the sigma sequence, enabling more flexible and targeted manipulation of these values. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `sigmas` | `SIGMAS` | The 'sigmas' parameter represents the sequence of sigma values to be split. It is essential for determining the division point and the resulting two sequences of sigma values, impacting the node's execution and results. | +| `step` | `INT` | The 'step' parameter specifies the index at which the sigma sequence should be split. It plays a critical role in defining the boundary between the two resulting sigma sequences, influencing the node's functionality and the characteristics of the output. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `sigmas` | `SIGMAS` | The node outputs two sequences of sigma values, each representing a part of the original sequence divided at the specified step. These outputs are crucial for subsequent operations that require differentiated handling of sigma values. | diff --git a/built-in-nodes/SplitSigmasDenoise.mdx b/built-in-nodes/SplitSigmasDenoise.mdx new file mode 100644 index 000000000..e1d6261e5 --- /dev/null +++ b/built-in-nodes/SplitSigmasDenoise.mdx @@ -0,0 +1,23 @@ +--- +title: "SplitSigmasDenoise - ComfyUI Built-in Node Documentation" +description: "The SplitSigmasDenoise node divides a sequence of sigma values into two parts based on a denoising strength parameter. It splits the input sigmas into high and low sigma sequences, where the split ..." +sidebarTitle: "SplitSigmasDenoise" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmasDenoise/en.md) + +The SplitSigmasDenoise node divides a sequence of sigma values into two parts based on a denoising strength parameter. It splits the input sigmas into high and low sigma sequences, where the split point is determined by multiplying the total steps by the denoise factor. This allows for separating the noise schedule into different intensity ranges for specialized processing. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `sigmas` | SIGMAS | Yes | - | The input sequence of sigma values representing the noise schedule | +| `denoise` | FLOAT | Yes | 0.0 - 1.0 | The denoising strength factor that determines where to split the sigma sequence (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `high_sigmas` | SIGMAS | The first portion of the sigma sequence containing higher sigma values | +| `low_sigmas` | SIGMAS | The second portion of the sigma sequence containing lower sigma values | diff --git a/built-in-nodes/StabilityAudioInpaint.mdx b/built-in-nodes/StabilityAudioInpaint.mdx new file mode 100644 index 000000000..4f4954def --- /dev/null +++ b/built-in-nodes/StabilityAudioInpaint.mdx @@ -0,0 +1,30 @@ +--- +title: "StabilityAudioInpaint - ComfyUI Built-in Node Documentation" +description: "Transforms part of an existing audio sample using text instructions. This node allows you to modify specific sections of audio by providing descriptive prompts, effectively \"inpainting\" or regenera..." +sidebarTitle: "StabilityAudioInpaint" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md) + +Transforms part of an existing audio sample using text instructions. This node allows you to modify specific sections of audio by providing descriptive prompts, effectively "inpainting" or regenerating selected portions while preserving the rest of the audio. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | "stable-audio-2.5"
| The AI model to use for audio inpainting. | +| `prompt` | STRING | Yes | | Text description guiding how the audio should be transformed (default: empty). | +| `audio` | AUDIO | Yes | | Input audio file to transform. Audio must be between 6 and 190 seconds long. | +| `duration` | INT | No | 1-190 | Controls the duration in seconds of the generated audio (default: 190). | +| `seed` | INT | No | 0-4294967294 | The random seed used for generation (default: 0). | +| `steps` | INT | No | 4-8 | Controls the number of sampling steps (default: 8). | +| `mask_start` | INT | No | 0-190 | Starting position in seconds for the audio section to transform (default: 30). | +| `mask_end` | INT | No | 0-190 | Ending position in seconds for the audio section to transform (default: 190). | + +**Note:** The `mask_end` value must be greater than the `mask_start` value. The input audio must be between 6 and 190 seconds in duration. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The transformed audio output with the specified section modified according to the prompt. | diff --git a/built-in-nodes/StabilityAudioToAudio.mdx b/built-in-nodes/StabilityAudioToAudio.mdx new file mode 100644 index 000000000..d0f523230 --- /dev/null +++ b/built-in-nodes/StabilityAudioToAudio.mdx @@ -0,0 +1,29 @@ +--- +title: "StabilityAudioToAudio - ComfyUI Built-in Node Documentation" +description: "Transforms existing audio samples into new high-quality compositions using text instructions. This node takes an input audio file and modifies it based on your text prompt to create new audio content." +sidebarTitle: "StabilityAudioToAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md) + +Transforms existing audio samples into new high-quality compositions using text instructions. This node takes an input audio file and modifies it based on your text prompt to create new audio content. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | "stable-audio-2.5"
| The AI model to use for audio transformation | +| `prompt` | STRING | Yes | | Text instructions describing how to transform the audio (default: empty) | +| `audio` | AUDIO | Yes | | Audio must be between 6 and 190 seconds long | +| `duration` | INT | No | 1-190 | Controls the duration in seconds of the generated audio (default: 190) | +| `seed` | INT | No | 0-4294967294 | The random seed used for generation (default: 0) | +| `steps` | INT | No | 4-8 | Controls the number of sampling steps (default: 8) | +| `strength` | FLOAT | No | 0.01-1.0 | Parameter controls how much influence the audio parameter has on the generated audio (default: 1.0) | + +**Note:** The input audio must be between 6 and 190 seconds in duration. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The transformed audio generated based on the input audio and text prompt | diff --git a/built-in-nodes/StabilityStableImageSD_3_5Node.mdx b/built-in-nodes/StabilityStableImageSD_3_5Node.mdx new file mode 100644 index 000000000..54c10ff62 --- /dev/null +++ b/built-in-nodes/StabilityStableImageSD_3_5Node.mdx @@ -0,0 +1,31 @@ +--- +title: "StabilityStableImageSD_3_5Node - ComfyUI Built-in Node Documentation" +description: "This node generates images synchronously using Stability AI's Stable Diffusion 3.5 model. It creates images based on text prompts and can also modify existing images when provided as input. The nod..." +sidebarTitle: "StabilityStableImageSD_3_5Node" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md) + +This node generates images synchronously using Stability AI's Stable Diffusion 3.5 model. It creates images based on text prompts and can also modify existing images when provided as input. The node supports various aspect ratios and style presets to customize the output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | +| `model` | COMBO | Yes | Multiple options available | The Stable Diffusion 3.5 model to use for generation. | +| `aspect_ratio` | COMBO | Yes | Multiple options available | Aspect ratio of generated image. (default: 1:1 ratio) | +| `style_preset` | COMBO | No | Multiple options available | Optional desired style of generated image. | +| `cfg_scale` | FLOAT | Yes | 1.0 to 10.0 | How strictly the diffusion process adheres to the prompt text (higher values keep your image closer to your prompt). (default: 4.0) | +| `seed` | INT | Yes | 0 to 4294967294 | The random seed used for creating the noise. (default: 0) | +| `image` | IMAGE | No | - | Optional input image for image-to-image generation. | +| `negative_prompt` | STRING | No | - | Keywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string) | +| `image_denoise` | FLOAT | No | 0.0 to 1.0 | Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all. (default: 0.5) | + +**Note:** When an `image` is provided, the node switches to image-to-image generation mode and the `aspect_ratio` parameter is automatically determined from the input image. When no `image` is provided, the `image_denoise` parameter is ignored. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The generated or modified image. | diff --git a/built-in-nodes/StabilityStableImageUltraNode.mdx b/built-in-nodes/StabilityStableImageUltraNode.mdx new file mode 100644 index 000000000..95aa79499 --- /dev/null +++ b/built-in-nodes/StabilityStableImageUltraNode.mdx @@ -0,0 +1,29 @@ +--- +title: "StabilityStableImageUltraNode - ComfyUI Built-in Node Documentation" +description: "Generates images synchronously based on prompt and resolution. This node creates images using Stability AI's Stable Image Ultra model, processing your text prompt and generating a corresponding ima..." +sidebarTitle: "StabilityStableImageUltraNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md) + +Generates images synchronously based on prompt and resolution. This node creates images using Stability AI's Stable Image Ultra model, processing your text prompt and generating a corresponding image with the specified aspect ratio and style. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. To control the weight of a given word use the format `(word:weight)`, where `word` is the word you'd like to control the weight of and `weight` is a value between 0 and 1. For example: `The sky was a crisp (blue:0.3) and (green:0.8)` would convey a sky that was blue and green, but more green than blue. | +| `aspect_ratio` | COMBO | Yes | Multiple options available | Aspect ratio of generated image. | +| `style_preset` | COMBO | No | Multiple options available | Optional desired style of generated image. | +| `seed` | INT | Yes | 0-4294967294 | The random seed used for creating the noise. | +| `image` | IMAGE | No | - | Optional input image. | +| `negative_prompt` | STRING | No | - | A blurb of text describing what you do not wish to see in the output image. This is an advanced feature. | +| `image_denoise` | FLOAT | No | 0.0-1.0 | Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all. Default: 0.5 | + +**Note:** When an input image is not provided, the `image_denoise` parameter is automatically disabled. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The generated image based on the input parameters. | diff --git a/built-in-nodes/StabilityTextToAudio.mdx b/built-in-nodes/StabilityTextToAudio.mdx new file mode 100644 index 000000000..3758089b8 --- /dev/null +++ b/built-in-nodes/StabilityTextToAudio.mdx @@ -0,0 +1,25 @@ +--- +title: "StabilityTextToAudio - ComfyUI Built-in Node Documentation" +description: "Generates high-quality music and sound effects from text descriptions. This node uses Stability AI's audio generation technology to create audio content based on your text prompts." +sidebarTitle: "StabilityTextToAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md) + +Generates high-quality music and sound effects from text descriptions. This node uses Stability AI's audio generation technology to create audio content based on your text prompts. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"stable-audio-2.5"` | The audio generation model to use (default: "stable-audio-2.5") | +| `prompt` | STRING | Yes | - | The text description used to generate audio content (default: empty string) | +| `duration` | INT | No | 1-190 | Controls the duration in seconds of the generated audio (default: 190) | +| `seed` | INT | No | 0-4294967294 | The random seed used for generation (default: 0) | +| `steps` | INT | No | 4-8 | Controls the number of sampling steps (default: 8) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The generated audio file based on the text prompt | diff --git a/built-in-nodes/StabilityUpscaleConservativeNode.mdx b/built-in-nodes/StabilityUpscaleConservativeNode.mdx new file mode 100644 index 000000000..2984ed17c --- /dev/null +++ b/built-in-nodes/StabilityUpscaleConservativeNode.mdx @@ -0,0 +1,25 @@ +--- +title: "StabilityUpscaleConservativeNode - ComfyUI Built-in Node Documentation" +description: "Upscale image with minimal alterations to 4K resolution. This node uses Stability AI's conservative upscaling to increase image resolution while preserving the original content and making only subt..." +sidebarTitle: "StabilityUpscaleConservativeNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md) + +Upscale image with minimal alterations to 4K resolution. This node uses Stability AI's conservative upscaling to increase image resolution while preserving the original content and making only subtle changes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be upscaled | +| `prompt` | STRING | Yes | - | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | +| `creativity` | FLOAT | Yes | 0.2-0.5 | Controls the likelihood of creating additional details not heavily conditioned by the init image. (default: 0.35) | +| `seed` | INT | Yes | 0-4294967294 | The random seed used for creating the noise. (default: 0) | +| `negative_prompt` | STRING | No | - | Keywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The upscaled image at 4K resolution | diff --git a/built-in-nodes/StabilityUpscaleCreativeNode.mdx b/built-in-nodes/StabilityUpscaleCreativeNode.mdx new file mode 100644 index 000000000..3cc921715 --- /dev/null +++ b/built-in-nodes/StabilityUpscaleCreativeNode.mdx @@ -0,0 +1,26 @@ +--- +title: "StabilityUpscaleCreativeNode - ComfyUI Built-in Node Documentation" +description: "Upscale image with minimal alterations to 4K resolution. This node uses Stability AI's creative upscaling technology to enhance image resolution while preserving the original content and adding sub..." +sidebarTitle: "StabilityUpscaleCreativeNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md) + +Upscale image with minimal alterations to 4K resolution. This node uses Stability AI's creative upscaling technology to enhance image resolution while preserving the original content and adding subtle creative details. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be upscaled | +| `prompt` | STRING | Yes | - | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | +| `creativity` | FLOAT | Yes | 0.1-0.5 | Controls the likelihood of creating additional details not heavily conditioned by the init image. (default: 0.3) | +| `style_preset` | COMBO | Yes | Multiple options available | Optional desired style of generated image. Options include various style presets from Stability AI. | +| `seed` | INT | Yes | 0-4294967294 | The random seed used for creating the noise. (default: 0) | +| `negative_prompt` | STRING | No | - | Keywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The upscaled image at 4K resolution | diff --git a/built-in-nodes/StabilityUpscaleFastNode.mdx b/built-in-nodes/StabilityUpscaleFastNode.mdx new file mode 100644 index 000000000..a4f1aa36c --- /dev/null +++ b/built-in-nodes/StabilityUpscaleFastNode.mdx @@ -0,0 +1,21 @@ +--- +title: "StabilityUpscaleFastNode - ComfyUI Built-in Node Documentation" +description: "Quickly upscales an image via Stability API call to 4x its original size. This node is specifically intended for upscaling low-quality or compressed images by sending them to Stability AI's fast up..." +sidebarTitle: "StabilityUpscaleFastNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md) + +Quickly upscales an image via Stability API call to 4x its original size. This node is specifically intended for upscaling low-quality or compressed images by sending them to Stability AI's fast upscaling service. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be upscaled | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The upscaled image returned from the Stability AI API | diff --git a/built-in-nodes/StableCascade_EmptyLatentImage.mdx b/built-in-nodes/StableCascade_EmptyLatentImage.mdx new file mode 100644 index 000000000..56d0362d4 --- /dev/null +++ b/built-in-nodes/StableCascade_EmptyLatentImage.mdx @@ -0,0 +1,25 @@ +--- +title: "StableCascade_EmptyLatentImage - ComfyUI Built-in Node Documentation" +description: "The StableCascade_EmptyLatentImage node creates empty latent tensors for Stable Cascade models. It generates two separate latent representations - one for stage C and another for stage B - with app..." +sidebarTitle: "StableCascade_EmptyLatentImage" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/en.md) + +The StableCascade_EmptyLatentImage node creates empty latent tensors for Stable Cascade models. It generates two separate latent representations - one for stage C and another for stage B - with appropriate dimensions based on the input resolution and compression settings. This node provides the starting point for the Stable Cascade generation pipeline. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 256 to MAX_RESOLUTION | The width of the output image in pixels (default: 1024, step: 8) | +| `height` | INT | Yes | 256 to MAX_RESOLUTION | The height of the output image in pixels (default: 1024, step: 8) | +| `compression` | INT | Yes | 4 to 128 | The compression factor that determines the latent dimensions for stage C (default: 42, step: 1) | +| `batch_size` | INT | No | 1 to 4096 | The number of latent samples to generate in a batch (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `stage_c` | LATENT | The stage C latent tensor with dimensions [batch_size, 16, height//compression, width//compression] | +| `stage_b` | LATENT | The stage B latent tensor with dimensions [batch_size, 4, height//4, width//4] | diff --git a/built-in-nodes/StableCascade_StageB_Conditioning.mdx b/built-in-nodes/StableCascade_StageB_Conditioning.mdx new file mode 100644 index 000000000..571e1fe40 --- /dev/null +++ b/built-in-nodes/StableCascade_StageB_Conditioning.mdx @@ -0,0 +1,22 @@ +--- +title: "StableCascade_StageB_Conditioning - ComfyUI Built-in Node Documentation" +description: "The StableCascade_StageB_Conditioning node prepares conditioning data for Stable Cascade Stage B generation by combining existing conditioning information with prior latent representations from Sta..." +sidebarTitle: "StableCascade_StageB_Conditioning" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/en.md) + +The StableCascade_StageB_Conditioning node prepares conditioning data for Stable Cascade Stage B generation by combining existing conditioning information with prior latent representations from Stage C. It modifies the conditioning data to include the latent samples from Stage C, enabling the generation process to leverage the prior information for more coherent outputs. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `conditioning` | CONDITIONING | Yes | - | The conditioning data to be modified with Stage C prior information | +| `stage_c` | LATENT | Yes | - | The latent representation from Stage C containing prior samples for conditioning | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The modified conditioning data with Stage C prior information integrated | diff --git a/built-in-nodes/StableCascade_StageC_VAEEncode.mdx b/built-in-nodes/StableCascade_StageC_VAEEncode.mdx new file mode 100644 index 000000000..b9507016e --- /dev/null +++ b/built-in-nodes/StableCascade_StageC_VAEEncode.mdx @@ -0,0 +1,24 @@ +--- +title: "StableCascade_StageC_VAEEncode - ComfyUI Built-in Node Documentation" +description: "The StableCascade_StageC_VAEEncode node processes images through a VAE encoder to generate latent representations for Stable Cascade models. It takes an input image and compresses it using the spec..." +sidebarTitle: "StableCascade_StageC_VAEEncode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/en.md) + +The StableCascade_StageC_VAEEncode node processes images through a VAE encoder to generate latent representations for Stable Cascade models. It takes an input image and compresses it using the specified VAE model, then outputs two latent representations: one for stage C and a placeholder for stage B. The compression parameter controls how much the image is scaled down before encoding. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be encoded into latent space | +| `vae` | VAE | Yes | - | The VAE model used for encoding the image | +| `compression` | INT | No | 4-128 | The compression factor applied to the image before encoding (default: 42) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `stage_c` | LATENT | The encoded latent representation for stage C of the Stable Cascade model | +| `stage_b` | LATENT | A placeholder latent representation for stage B (currently returns zeros) | diff --git a/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx b/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx new file mode 100644 index 000000000..79d83541a --- /dev/null +++ b/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx @@ -0,0 +1,24 @@ +--- +title: "StableCascade_SuperResolutionControlnet - ComfyUI Built-in Node Documentation" +description: "The StableCascade_SuperResolutionControlnet node prepares inputs for Stable Cascade super-resolution processing. It takes an input image and encodes it using a VAE to create controlnet input, while..." +sidebarTitle: "StableCascade_SuperResolutionControlnet" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/en.md) + +The StableCascade_SuperResolutionControlnet node prepares inputs for Stable Cascade super-resolution processing. It takes an input image and encodes it using a VAE to create controlnet input, while also generating placeholder latent representations for stage C and stage B of the Stable Cascade pipeline. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be processed for super-resolution | +| `vae` | VAE | Yes | - | The VAE model used to encode the input image | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `controlnet_input` | IMAGE | The encoded image representation suitable for controlnet input | +| `stage_c` | LATENT | Placeholder latent representation for stage C of Stable Cascade processing | +| `stage_b` | LATENT | Placeholder latent representation for stage B of Stable Cascade processing | diff --git a/built-in-nodes/StableZero123_Conditioning.mdx b/built-in-nodes/StableZero123_Conditioning.mdx new file mode 100644 index 000000000..cc418f3b8 --- /dev/null +++ b/built-in-nodes/StableZero123_Conditioning.mdx @@ -0,0 +1,32 @@ +--- +title: "StableZero123_Conditioning - ComfyUI Built-in Node Documentation" +description: "The StableZero123_Conditioning node processes an input image and camera angles to generate conditioning data and latent representations for 3D model generation. It uses a CLIP vision model to encod..." +sidebarTitle: "StableZero123_Conditioning" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning/en.md) + +The StableZero123_Conditioning node processes an input image and camera angles to generate conditioning data and latent representations for 3D model generation. It uses a CLIP vision model to encode the image features, combines them with camera embedding information based on elevation and azimuth angles, and produces positive and negative conditioning along with a latent representation for downstream 3D generation tasks. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip_vision` | CLIP_VISION | Yes | - | The CLIP vision model used to encode image features | +| `init_image` | IMAGE | Yes | - | The input image to be processed and encoded | +| `vae` | VAE | Yes | - | The VAE model used for encoding pixels to latent space | +| `width` | INT | No | 16 to MAX_RESOLUTION | Output width for the latent representation (default: 256, must be divisible by 8) | +| `height` | INT | No | 16 to MAX_RESOLUTION | Output height for the latent representation (default: 256, must be divisible by 8) | +| `batch_size` | INT | No | 1 to 4096 | Number of samples to generate in the batch (default: 1) | +| `elevation` | FLOAT | No | -180.0 to 180.0 | Camera elevation angle in degrees (default: 0.0) | +| `azimuth` | FLOAT | No | -180.0 to 180.0 | Camera azimuth angle in degrees (default: 0.0) | + +**Note:** The `width` and `height` parameters must be divisible by 8 as the node automatically divides them by 8 to create the latent representation dimensions. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Positive conditioning data combining image features and camera embeddings | +| `negative` | CONDITIONING | Negative conditioning data with zero-initialized features | +| `latent` | LATENT | Latent representation with dimensions [batch_size, 4, height//8, width//8] | diff --git a/built-in-nodes/StableZero123_Conditioning_Batched.mdx b/built-in-nodes/StableZero123_Conditioning_Batched.mdx new file mode 100644 index 000000000..bba8895b3 --- /dev/null +++ b/built-in-nodes/StableZero123_Conditioning_Batched.mdx @@ -0,0 +1,34 @@ +--- +title: "StableZero123_Conditioning_Batched - ComfyUI Built-in Node Documentation" +description: "The StableZero123_Conditioning_Batched node processes an input image and generates conditioning data for 3D model generation. It encodes the image using CLIP vision and VAE models, then creates cam..." +sidebarTitle: "StableZero123_Conditioning_Batched" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/en.md) + +The StableZero123_Conditioning_Batched node processes an input image and generates conditioning data for 3D model generation. It encodes the image using CLIP vision and VAE models, then creates camera embeddings based on elevation and azimuth angles to produce positive and negative conditioning along with latent representations for batch processing. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip_vision` | CLIP_VISION | Yes | - | The CLIP vision model used for encoding the input image | +| `init_image` | IMAGE | Yes | - | The initial input image to be processed and encoded | +| `vae` | VAE | Yes | - | The VAE model used for encoding image pixels into latent space | +| `width` | INT | No | 16 to MAX_RESOLUTION | The output width for the processed image (default: 256, must be divisible by 8) | +| `height` | INT | No | 16 to MAX_RESOLUTION | The output height for the processed image (default: 256, must be divisible by 8) | +| `batch_size` | INT | No | 1 to 4096 | The number of conditioning samples to generate in the batch (default: 1) | +| `elevation` | FLOAT | No | -180.0 to 180.0 | The initial camera elevation angle in degrees (default: 0.0) | +| `azimuth` | FLOAT | No | -180.0 to 180.0 | The initial camera azimuth angle in degrees (default: 0.0) | +| `elevation_batch_increment` | FLOAT | No | -180.0 to 180.0 | The amount to increment elevation for each batch item (default: 0.0) | +| `azimuth_batch_increment` | FLOAT | No | -180.0 to 180.0 | The amount to increment azimuth for each batch item (default: 0.0) | + +**Note:** The `width` and `height` parameters must be divisible by 8 as the node internally divides these dimensions by 8 for latent space generation. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The positive conditioning data containing image embeddings and camera parameters | +| `negative` | CONDITIONING | The negative conditioning data with zero-initialized embeddings | +| `latent` | LATENT | The latent representation of the processed image with batch indexing information | diff --git a/built-in-nodes/Stablezero123Conditioning.mdx b/built-in-nodes/Stablezero123Conditioning.mdx new file mode 100644 index 000000000..b0ec5da39 --- /dev/null +++ b/built-in-nodes/Stablezero123Conditioning.mdx @@ -0,0 +1,29 @@ +--- +title: "Stablezero123Conditioning - ComfyUI Built-in Node Documentation" +description: "This node is designed to process and condition data for use in StableZero123 models, focusing on preparing the input in a specific format that is compatible and optimized for these models." +sidebarTitle: "Stablezero123Conditioning" +icon: "circle" +--- + +This node is designed to process and condition data for use in StableZero123 models, focusing on preparing the input in a specific format that is compatible and optimized for these models. + +## Inputs + +| Parameter | Comfy dtype | Description | +|-----------------------|--------------------|-------------| +| `clip_vision` | `CLIP_VISION` | Processes visual data to align with the model's requirements, enhancing the model's understanding of visual context. | +| `init_image` | `IMAGE` | Serves as the initial image input for the model, setting the baseline for further image-based operations. | +| `vae` | `VAE` | Integrates variational autoencoder outputs, facilitating the model's ability to generate or modify images. | +| `width` | `INT` | Specifies the width of the output image, allowing for dynamic resizing according to model needs. | +| `height` | `INT` | Determines the height of the output image, enabling customization of the output dimensions. | +| `batch_size` | `INT` | Controls the number of images processed in a single batch, optimizing computational efficiency. | +| `elevation` | `FLOAT` | Adjusts the elevation angle for 3D model rendering, enhancing the model's spatial understanding. | +| `azimuth` | `FLOAT` | Modifies the azimuth angle for 3D model visualization, improving the model's perception of orientation. | + +## Outputs + +| Parameter | Data Type | Description | +|---------------|--------------|-------------| +| `positive` | `CONDITIONING` | Generates positive conditioning vectors, aiding in the model's positive feature reinforcement. | +| `negative` | `CONDITIONING` | Produces negative conditioning vectors, assisting in the model's avoidance of certain features. | +| `latent` | `LATENT` | Creates latent representations, facilitating deeper model insights into the data. | diff --git a/built-in-nodes/Stablezero123ConditioningBatched.mdx b/built-in-nodes/Stablezero123ConditioningBatched.mdx new file mode 100644 index 000000000..f5ab32775 --- /dev/null +++ b/built-in-nodes/Stablezero123ConditioningBatched.mdx @@ -0,0 +1,31 @@ +--- +title: "Stablezero123ConditioningBatched - ComfyUI Built-in Node Documentation" +description: "This node is designed to process conditioning information in a batched manner specifically tailored for the StableZero123 model. It focuses on efficiently handling multiple sets of conditioning dat..." +sidebarTitle: "Stablezero123ConditioningBatched" +icon: "circle" +--- + +This node is designed to process conditioning information in a batched manner specifically tailored for the StableZero123 model. It focuses on efficiently handling multiple sets of conditioning data simultaneously, optimizing the workflow for scenarios where batch processing is crucial. + +## Inputs + +| Parameter | Data Type | Description | +|----------------------|--------------|-------------| +| `clip_vision` | `CLIP_VISION` | The CLIP vision embeddings that provide visual context for the conditioning process. | +| `init_image` | `IMAGE` | The initial image to be conditioned upon, serving as a starting point for the generation process. | +| `vae` | `VAE` | The variational autoencoder used for encoding and decoding images in the conditioning process. | +| `width` | `INT` | The width of the output image. | +| `height` | `INT` | The height of the output image. | +| `batch_size` | `INT` | The number of conditioning sets to be processed in a single batch. | +| `elevation` | `FLOAT` | The elevation angle for 3D model conditioning, affecting the perspective of the generated image. | +| `azimuth` | `FLOAT` | The azimuth angle for 3D model conditioning, affecting the orientation of the generated image. | +| `elevation_batch_increment` | `FLOAT` | The incremental change in elevation angle across the batch, allowing for varied perspectives. | +| `azimuth_batch_increment` | `FLOAT` | The incremental change in azimuth angle across the batch, allowing for varied orientations. | + +## Outputs + +| Parameter | Data Type | Description | +|---------------|--------------|-------------| +| `positive` | `CONDITIONING` | The positive conditioning output, tailored for promoting certain features or aspects in the generated content. | +| `negative` | `CONDITIONING` | The negative conditioning output, tailored for demoting certain features or aspects in the generated content. | +| `latent` | `LATENT` | The latent representation derived from the conditioning process, ready for further processing or generation steps. | diff --git a/built-in-nodes/StringCompare.mdx b/built-in-nodes/StringCompare.mdx new file mode 100644 index 000000000..ad31c4376 --- /dev/null +++ b/built-in-nodes/StringCompare.mdx @@ -0,0 +1,24 @@ +--- +title: "StringCompare - ComfyUI Built-in Node Documentation" +description: "The StringCompare node compares two text strings using different comparison methods. It can check if one string starts with another, ends with another, or if both strings are exactly equal. The com..." +sidebarTitle: "StringCompare" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringCompare/en.md) + +The StringCompare node compares two text strings using different comparison methods. It can check if one string starts with another, ends with another, or if both strings are exactly equal. The comparison can be performed with or without considering letter case differences. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `string_a` | STRING | Yes | - | The first string to compare | +| `string_b` | STRING | Yes | - | The second string to compare against | +| `mode` | COMBO | Yes | "Starts With"
"Ends With"
"Equal" | The comparison method to use | +| `case_sensitive` | BOOLEAN | No | - | Whether to consider letter case during comparison (default: true) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | BOOLEAN | Returns true if the comparison condition is met, false otherwise | diff --git a/built-in-nodes/StringConcatenate.mdx b/built-in-nodes/StringConcatenate.mdx new file mode 100644 index 000000000..e6106a572 --- /dev/null +++ b/built-in-nodes/StringConcatenate.mdx @@ -0,0 +1,23 @@ +--- +title: "StringConcatenate - ComfyUI Built-in Node Documentation" +description: "The StringConcatenate node combines two text strings into one by joining them with a specified delimiter. It takes two input strings and a delimiter character or string, then outputs a single strin..." +sidebarTitle: "StringConcatenate" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringConcatenate/en.md) + +The StringConcatenate node combines two text strings into one by joining them with a specified delimiter. It takes two input strings and a delimiter character or string, then outputs a single string where the two inputs are connected with the delimiter placed between them. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `string_a` | STRING | Yes | - | The first text string to concatenate | +| `string_b` | STRING | Yes | - | The second text string to concatenate | +| `delimiter` | STRING | No | - | The character or string to insert between the two input strings (default: empty string) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The combined string with the delimiter inserted between string_a and string_b | diff --git a/built-in-nodes/StringContains.mdx b/built-in-nodes/StringContains.mdx new file mode 100644 index 000000000..7fdde3aed --- /dev/null +++ b/built-in-nodes/StringContains.mdx @@ -0,0 +1,23 @@ +--- +title: "StringContains - ComfyUI Built-in Node Documentation" +description: "The StringContains node checks if a given string contains a specified substring. It can perform this check with either case-sensitive or case-insensitive matching, returning a boolean result indica..." +sidebarTitle: "StringContains" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringContains/en.md) + +The StringContains node checks if a given string contains a specified substring. It can perform this check with either case-sensitive or case-insensitive matching, returning a boolean result indicating whether the substring was found within the main string. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `string` | STRING | Yes | - | The main text string to search within | +| `substring` | STRING | Yes | - | The text to search for within the main string | +| `case_sensitive` | BOOLEAN | No | - | Determines whether the search should be case-sensitive (default: true) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `contains` | BOOLEAN | Returns true if the substring is found in the string, false otherwise | diff --git a/built-in-nodes/StringLength.mdx b/built-in-nodes/StringLength.mdx new file mode 100644 index 000000000..d60e4f06d --- /dev/null +++ b/built-in-nodes/StringLength.mdx @@ -0,0 +1,21 @@ +--- +title: "StringLength - ComfyUI Built-in Node Documentation" +description: "The StringLength node calculates the number of characters in a text string. It takes any text input and returns the total count of characters, including spaces and punctuation. This is useful for m..." +sidebarTitle: "StringLength" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringLength/en.md) + +The StringLength node calculates the number of characters in a text string. It takes any text input and returns the total count of characters, including spaces and punctuation. This is useful for measuring text length or validating string size requirements. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `string` | STRING | Yes | N/A | The text string to measure the length of. Supports multiline input. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `length` | INT | The total number of characters in the input string, including spaces and special characters. | diff --git a/built-in-nodes/StringReplace.mdx b/built-in-nodes/StringReplace.mdx new file mode 100644 index 000000000..e524ca816 --- /dev/null +++ b/built-in-nodes/StringReplace.mdx @@ -0,0 +1,23 @@ +--- +title: "StringReplace - ComfyUI Built-in Node Documentation" +description: "The StringReplace node performs text replacement operations on input strings. It searches for a specified substring within the input text and replaces all occurrences with a different substring. Th..." +sidebarTitle: "StringReplace" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringReplace/en.md) + +The StringReplace node performs text replacement operations on input strings. It searches for a specified substring within the input text and replaces all occurrences with a different substring. This node returns the modified string with all replacements applied. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `string` | STRING | Yes | - | The input text string where replacements will be performed | +| `find` | STRING | Yes | - | The substring to search for within the input text | +| `replace` | STRING | Yes | - | The replacement text that will substitute all found occurrences | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The modified string with all occurrences of the find text replaced by the replace text | diff --git a/built-in-nodes/StringSubstring.mdx b/built-in-nodes/StringSubstring.mdx new file mode 100644 index 000000000..7cbfb0844 --- /dev/null +++ b/built-in-nodes/StringSubstring.mdx @@ -0,0 +1,23 @@ +--- +title: "StringSubstring - ComfyUI Built-in Node Documentation" +description: "The StringSubstring node extracts a portion of text from a larger string. It takes a starting position and ending position to define the section you want to extract, then returns the text between t..." +sidebarTitle: "StringSubstring" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringSubstring/en.md) + +The StringSubstring node extracts a portion of text from a larger string. It takes a starting position and ending position to define the section you want to extract, then returns the text between those two positions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `string` | STRING | Yes | - | The input text string to extract from | +| `start` | INT | Yes | - | The starting position index for the substring | +| `end` | INT | Yes | - | The ending position index for the substring | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The extracted substring from the input text | diff --git a/built-in-nodes/StringTrim.mdx b/built-in-nodes/StringTrim.mdx new file mode 100644 index 000000000..ddb0c1530 --- /dev/null +++ b/built-in-nodes/StringTrim.mdx @@ -0,0 +1,22 @@ +--- +title: "StringTrim - ComfyUI Built-in Node Documentation" +description: "The StringTrim node removes whitespace characters from the beginning, end, or both sides of a text string. You can choose to trim from the left side, right side, or both sides of the string. This i..." +sidebarTitle: "StringTrim" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringTrim/en.md) + +The StringTrim node removes whitespace characters from the beginning, end, or both sides of a text string. You can choose to trim from the left side, right side, or both sides of the string. This is useful for cleaning up text inputs by removing unwanted spaces, tabs, or newline characters. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `string` | STRING | Yes | - | The text string to process. Supports multiline input. | +| `mode` | COMBO | Yes | "Both"
"Left"
"Right" | Specifies which side(s) of the string to trim. "Both" removes whitespace from both ends, "Left" removes from the beginning only, "Right" removes from the end only. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The trimmed text string with whitespace removed according to the selected mode. | diff --git a/built-in-nodes/StripWhitespace.mdx b/built-in-nodes/StripWhitespace.mdx new file mode 100644 index 000000000..c39e37046 --- /dev/null +++ b/built-in-nodes/StripWhitespace.mdx @@ -0,0 +1,21 @@ +--- +title: "StripWhitespace - ComfyUI Built-in Node Documentation" +description: "This node removes any extra spaces, tabs, or newlines from the beginning and end of a text string. It takes a text input and returns a cleaned version with the leading and trailing whitespace trimm..." +sidebarTitle: "StripWhitespace" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StripWhitespace/en.md) + +This node removes any extra spaces, tabs, or newlines from the beginning and end of a text string. It takes a text input and returns a cleaned version with the leading and trailing whitespace trimmed off. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `text` | STRING | Yes | N/A | The text string from which to remove leading and trailing whitespace. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `text` | STRING | The processed text with all leading and trailing whitespace characters removed. | diff --git a/built-in-nodes/StyleModelApply.mdx b/built-in-nodes/StyleModelApply.mdx new file mode 100644 index 000000000..41e00a8dc --- /dev/null +++ b/built-in-nodes/StyleModelApply.mdx @@ -0,0 +1,24 @@ +--- +title: "StyleModelApply - ComfyUI Built-in Node Documentation" +description: "This node applies a style model to a given conditioning, enhancing or altering its style based on the output of a CLIP vision model. It integrates the style model's conditioning into the existing c..." +sidebarTitle: "StyleModelApply" +icon: "circle" +--- + +This node applies a style model to a given conditioning, enhancing or altering its style based on the output of a CLIP vision model. It integrates the style model's conditioning into the existing conditioning, allowing for a seamless blend of styles in the generation process. + +## Inputs + +### Required + +| Parameter | Comfy dtype | Description | +|-----------------------|-----------------------|-------------| +| `conditioning` | `CONDITIONING` | The original conditioning data to which the style model's conditioning will be applied. It's crucial for defining the base context or style that will be enhanced or altered. | +| `style_model` | `STYLE_MODEL` | The style model used to generate new conditioning based on the CLIP vision model's output. It plays a key role in defining the new style to be applied. | +| `clip_vision_output` | `CLIP_VISION_OUTPUT` | The output from a CLIP vision model, which is used by the style model to generate new conditioning. It provides the visual context necessary for style application. | + +## Outputs + +| Parameter | Comfy dtype | Description | +|----------------------|-----------------------|-------------| +| `conditioning` | `CONDITIONING` | The enhanced or altered conditioning, incorporating the style model's output. It represents the final, styled conditioning ready for further processing or generation. | diff --git a/built-in-nodes/StyleModelLoader.mdx b/built-in-nodes/StyleModelLoader.mdx new file mode 100644 index 000000000..570f0d493 --- /dev/null +++ b/built-in-nodes/StyleModelLoader.mdx @@ -0,0 +1,21 @@ +--- +title: "StyleModelLoader - ComfyUI Built-in Node Documentation" +description: "This node will detect models located in the `ComfyUI/models/style_models` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you ma..." +sidebarTitle: "StyleModelLoader" +icon: "circle" +--- +This node will detect models located in the `ComfyUI/models/style_models` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to **refresh the ComfyUI interface** to allow it to read the model files from the corresponding folder. + +The StyleModelLoader node is designed to load a style model from a specified path. It focuses on retrieving and initializing style models that can be used to apply specific artistic styles to images, thereby enabling the customization of visual outputs based on the loaded style model. + +## Inputs + +| Parameter Name | Comfy dtype | Python dtype | Description | +|---------------------|-----------------|--------------|---------------------------------------------------------------------------------------------------| +| `style_model_name` | COMBO[STRING] | `str` | Specifies the name of the style model to be loaded. This name is used to locate the model file within a predefined directory structure, allowing for the dynamic loading of different style models based on user input or application needs. | + +## Outputs + +| Parameter Name | Comfy dtype | Python dtype | Description | +|-----------------|---------------|--------------|---------------------------------------------------------------------------------------------------| +| `style_model` | `STYLE_MODEL` | `StyleModel` | Returns the loaded style model, ready for use in applying styles to images. This enables the dynamic customization of visual outputs by applying different artistic styles. | diff --git a/built-in-nodes/SvdImg2vidConditioning.mdx b/built-in-nodes/SvdImg2vidConditioning.mdx new file mode 100644 index 000000000..21c51d249 --- /dev/null +++ b/built-in-nodes/SvdImg2vidConditioning.mdx @@ -0,0 +1,30 @@ +--- +title: "SvdImg2vidConditioning - ComfyUI Built-in Node Documentation" +description: "This node is designed for generating conditioning data for video generation tasks, specifically tailored for use with SVD_img2vid models. It takes various inputs including initial images, video par..." +sidebarTitle: "SvdImg2vidConditioning" +icon: "circle" +--- + +This node is designed for generating conditioning data for video generation tasks, specifically tailored for use with SVD_img2vid models. It takes various inputs including initial images, video parameters, and a VAE model to produce conditioning data that can be used to guide the generation of video frames. + +## Inputs + +| Parameter | Comfy dtype | Description | +|----------------------|--------------------|-------------| +| `clip_vision` | `CLIP_VISION` | Represents the CLIP vision model used for encoding visual features from the initial image, playing a crucial role in understanding the content and context of the image for video generation. | +| `init_image` | `IMAGE` | The initial image from which the video will be generated, serving as the starting point for the video generation process. | +| `vae` | `VAE` | A Variational Autoencoder (VAE) model used for encoding the initial image into a latent space, facilitating the generation of coherent and continuous video frames. | +| `width` | `INT` | The desired width of the video frames to be generated, allowing for customization of the video's resolution. | +| `height` | `INT` | The desired height of the video frames, enabling control over the video's aspect ratio and resolution. | +| `video_frames` | `INT` | Specifies the number of frames to be generated for the video, determining the video's length. | +| `motion_bucket_id` | `INT` | An identifier for categorizing the type of motion to be applied in the video generation, aiding in the creation of dynamic and engaging videos. | +| `fps` | `INT` | The frames per second (fps) rate for the video, influencing the smoothness and realism of the generated video. | +| `augmentation_level` | `FLOAT` | A parameter controlling the level of augmentation applied to the initial image, affecting the diversity and variability of the generated video frames. | + +## Outputs + +| Parameter | Comfy dtype | Description | +|---------------|--------------------|-------------| +| `positive` | `CONDITIONING` | The positive conditioning data, consisting of encoded features and parameters for guiding the video generation process in a desired direction. | +| `negative` | `CONDITIONING` | The negative conditioning data, providing a contrast to the positive conditioning, which can be used to avoid certain patterns or features in the generated video. | +| `latent` | `LATENT` | Latent representations generated for each frame of the video, serving as a foundational component for the video generation process. | diff --git a/built-in-nodes/T5TokenizerOptions.mdx b/built-in-nodes/T5TokenizerOptions.mdx new file mode 100644 index 000000000..d768d542e --- /dev/null +++ b/built-in-nodes/T5TokenizerOptions.mdx @@ -0,0 +1,23 @@ +--- +title: "T5TokenizerOptions - ComfyUI Built-in Node Documentation" +description: "The T5TokenizerOptions node allows you to configure tokenizer settings for various T5 model types. It sets minimum padding and minimum length parameters for multiple T5 model variants including t5x..." +sidebarTitle: "T5TokenizerOptions" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/T5TokenizerOptions/en.md) + +The T5TokenizerOptions node allows you to configure tokenizer settings for various T5 model types. It sets minimum padding and minimum length parameters for multiple T5 model variants including t5xxl, pile_t5xl, t5base, mt5xl, and umt5xxl. The node takes a CLIP input and returns a modified CLIP with the specified tokenizer options applied. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | The CLIP model to configure tokenizer options for | +| `min_padding` | INT | No | 0-10000 | Minimum padding value to set for all T5 model types (default: 0) | +| `min_length` | INT | No | 0-10000 | Minimum length value to set for all T5 model types (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | CLIP | The modified CLIP model with updated tokenizer options applied to all T5 variants | diff --git a/built-in-nodes/TCFG.mdx b/built-in-nodes/TCFG.mdx new file mode 100644 index 000000000..264101d74 --- /dev/null +++ b/built-in-nodes/TCFG.mdx @@ -0,0 +1,21 @@ +--- +title: "TCFG - ComfyUI Built-in Node Documentation" +description: "TCFG (Tangential Damping CFG) implements a guidance technique that refines the unconditional (negative) predictions to better align with the conditional (positive) predictions. This method improves..." +sidebarTitle: "TCFG" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TCFG/en.md) + +TCFG (Tangential Damping CFG) implements a guidance technique that refines the unconditional (negative) predictions to better align with the conditional (positive) predictions. This method improves output quality by applying tangential damping to the unconditional guidance, based on the research paper referenced as 2503.18137. The node modifies the model's sampling behavior by adjusting how unconditional predictions are processed during the classifier-free guidance process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply tangential damping CFG to | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `patched_model` | MODEL | The modified model with tangential damping CFG applied | diff --git a/built-in-nodes/TemporalScoreRescaling.mdx b/built-in-nodes/TemporalScoreRescaling.mdx new file mode 100644 index 000000000..73c89435e --- /dev/null +++ b/built-in-nodes/TemporalScoreRescaling.mdx @@ -0,0 +1,23 @@ +--- +title: "TemporalScoreRescaling - ComfyUI Built-in Node Documentation" +description: "This node applies Temporal Score Rescaling (TSR) to a diffusion model. It modifies the model's sampling behavior by rescaling the predicted noise or score during the denoising process, which can st..." +sidebarTitle: "TemporalScoreRescaling" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TemporalScoreRescaling/en.md) + +This node applies Temporal Score Rescaling (TSR) to a diffusion model. It modifies the model's sampling behavior by rescaling the predicted noise or score during the denoising process, which can steer the diversity of the generated output. This is implemented as a post-CFG (Classifier-Free Guidance) function. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to be patched with the TSR function. | +| `tsr_k` | FLOAT | No | 0.01 - 100.0 | Controls the rescaling strength. Lower k produces more detailed results; higher k produces smoother results in image generation. Setting k = 1 disables rescaling. (default: 0.95) | +| `tsr_sigma` | FLOAT | No | 0.01 - 100.0 | Controls how early rescaling takes effect. Larger values take effect earlier. (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `patched_model` | MODEL | The input model, now patched with the Temporal Score Rescaling function applied to its sampling process. | diff --git a/built-in-nodes/Tencent3DPartNode.mdx b/built-in-nodes/Tencent3DPartNode.mdx new file mode 100644 index 000000000..769368927 --- /dev/null +++ b/built-in-nodes/Tencent3DPartNode.mdx @@ -0,0 +1,24 @@ +--- +title: "Tencent3DPartNode - ComfyUI Built-in Node Documentation" +description: "This node uses the Tencent Hunyuan3D API to automatically analyze a 3D model and generate or identify its components based on its structure. It processes the model and returns a new FBX file." +sidebarTitle: "Tencent3DPartNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md) + +This node uses the Tencent Hunyuan3D API to automatically analyze a 3D model and generate or identify its components based on its structure. It processes the model and returns a new FBX file. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_3d` | FILE3D | Yes | FBX, Any | The 3D model to process. The model should be in FBX format and have less than 30000 faces. | +| `seed` | INT | No | 0 to 2147483647 | A seed value to control whether the node should re-run. The results are non-deterministic regardless of the seed value. (default: 0) | + +**Note:** The `model_3d` input only supports files in the FBX format. If a different 3D file format is provided, the node will raise an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `FBX` | FILE3DFBX | The processed 3D model, returned as an FBX file. | diff --git a/built-in-nodes/Tencent3DTextureEditNode.mdx b/built-in-nodes/Tencent3DTextureEditNode.mdx new file mode 100644 index 000000000..941a9bf2a --- /dev/null +++ b/built-in-nodes/Tencent3DTextureEditNode.mdx @@ -0,0 +1,26 @@ +--- +title: "Tencent3DTextureEditNode - ComfyUI Built-in Node Documentation" +description: "This node uses the Tencent Hunyuan3D API to edit the textures of a 3D model. You provide a 3D model and a text description of the desired changes, and the node returns a new version of the model wi..." +sidebarTitle: "Tencent3DTextureEditNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md) + +This node uses the Tencent Hunyuan3D API to edit the textures of a 3D model. You provide a 3D model and a text description of the desired changes, and the node returns a new version of the model with its textures redrawn according to your prompt. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_3d` | FILE3D | Yes | FBX, Any | 3D model in FBX format. Model should have less than 100000 faces. | +| `prompt` | STRING | Yes | | Describes texture editing. Supports up to 1024 UTF-8 characters. | +| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | + +**Note:** The `model_3d` input must be a file in the FBX format. Other 3D file formats are not supported by this node. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `GLB` | FILE3D | The processed 3D model in GLB format. | +| `FBX` | FILE3D | The processed 3D model in FBX format. | diff --git a/built-in-nodes/TencentImageToModelNode.mdx b/built-in-nodes/TencentImageToModelNode.mdx new file mode 100644 index 000000000..978438dca --- /dev/null +++ b/built-in-nodes/TencentImageToModelNode.mdx @@ -0,0 +1,34 @@ +--- +title: "TencentImageToModelNode - ComfyUI Built-in Node Documentation" +description: "This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from one or more input images. It processes the images, sends them to the API, and returns the generated 3D model files in GLB and ..." +sidebarTitle: "TencentImageToModelNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md) + +This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from one or more input images. It processes the images, sends them to the API, and returns the generated 3D model files in GLB and OBJ formats. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"3.0"`
`"3.1"` | The version of the Hunyuan3D model to use. The LowPoly option is unavailable for the `3.1` model. | +| `image` | IMAGE | Yes | - | The primary input image used to generate the 3D model. | +| `image_left` | IMAGE | No | - | An optional image of the object's left side for multi-view generation. | +| `image_right` | IMAGE | No | - | An optional image of the object's right side for multi-view generation. | +| `image_back` | IMAGE | No | - | An optional image of the object's back side for multi-view generation. | +| `face_count` | INT | Yes | 40000 - 1500000 | The target number of faces for the generated 3D model (default: 500000). | +| `generate_type` | DYNAMICCOMBO | Yes | `"Normal"`
`"LowPoly"`
`"Geometry"` | The type of 3D model to generate. Selecting an option reveals additional related parameters. | +| `generate_type.pbr` | BOOLEAN | No | - | Enables Physically Based Rendering (PBR) material generation. This parameter is only visible when `generate_type` is set to "Normal" or "LowPoly" (default: False). | +| `generate_type.polygon_type` | COMBO | No | `"triangle"`
`"quadrilateral"` | The type of polygon to use for the mesh. This parameter is only visible when `generate_type` is set to "LowPoly". | +| `seed` | INT | Yes | 0 - 2147483647 | A seed value for the generation process. Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | + +**Note:** All input images must have a minimum width and height of 128 pixels. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | A legacy output for backward compatibility. | +| `GLB` | FILE3DGLB | The generated 3D model in the GLB (Binary GL Transmission Format) file format. | +| `OBJ` | FILE3DOBJ | The generated 3D model in the OBJ (Wavefront) file format. | diff --git a/built-in-nodes/TencentModelTo3DUVNode.mdx b/built-in-nodes/TencentModelTo3DUVNode.mdx new file mode 100644 index 000000000..fff94acf1 --- /dev/null +++ b/built-in-nodes/TencentModelTo3DUVNode.mdx @@ -0,0 +1,24 @@ +--- +title: "TencentModelTo3DUVNode - ComfyUI Built-in Node Documentation" +description: "This node uses the Tencent Hunyuan3D API to perform UV unfolding on a 3D model. It takes a 3D model file as input, sends it to the API for processing, and returns the processed model in OBJ and FBX..." +sidebarTitle: "TencentModelTo3DUVNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md) + +This node uses the Tencent Hunyuan3D API to perform UV unfolding on a 3D model. It takes a 3D model file as input, sends it to the API for processing, and returns the processed model in OBJ and FBX formats along with a generated UV texture image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_3d` | FILE3D | Yes | GLB
OBJ
FBX | Input 3D model (GLB, OBJ, or FBX). The model must have less than 30000 faces. | +| `seed` | INT | No | 0 to 2147483647 | A seed value (default: 1). This controls whether the node should re-run, but results are non-deterministic regardless of the seed value. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `OBJ` | FILE3D | The processed 3D model file in OBJ format. | +| `FBX` | FILE3D | The processed 3D model file in FBX format. | +| `Image` | IMAGE | The generated UV texture image. | diff --git a/built-in-nodes/TencentTextToModelNode.mdx b/built-in-nodes/TencentTextToModelNode.mdx new file mode 100644 index 000000000..95297e7d9 --- /dev/null +++ b/built-in-nodes/TencentTextToModelNode.mdx @@ -0,0 +1,31 @@ +--- +title: "TencentTextToModelNode - ComfyUI Built-in Node Documentation" +description: "This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from a text description. It sends a request to create a generation task, polls for the result, and downloads the final model files ..." +sidebarTitle: "TencentTextToModelNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md) + +This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from a text description. It sends a request to create a generation task, polls for the result, and downloads the final model files in GLB and OBJ formats. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"3.0"`
`"3.1"` | The version of the Hunyuan3D model to use. The LowPoly option is unavailable for the `3.1` model. | +| `prompt` | STRING | Yes | - | The text description of the 3D model to generate. Supports up to 1024 characters. | +| `face_count` | INT | Yes | 40000 - 1500000 | The target number of faces for the generated 3D model. Default: 500000. | +| `generate_type` | DYNAMICCOMBO | Yes | `"Normal"`
`"LowPoly"`
`"Geometry"` | The type of 3D model to generate. The available options and their associated parameters are:
- **Normal**: Generates a standard model. Includes a `pbr` parameter (default: `False`).
- **LowPoly**: Generates a low-polygon model. Includes `polygon_type` (`"triangle"` or `"quadrilateral"`) and `pbr` (default: `False`) parameters.
- **Geometry**: Generates a geometry-only model. | +| `seed` | INT | No | 0 - 2147483647 | A seed value for the generation. Results are non-deterministic regardless of seed. Setting a new seed controls whether the node should re-run. Default: 0. | + +**Note:** The `generate_type` parameter is dynamic. Selecting `"LowPoly"` will reveal additional inputs for `polygon_type` and `pbr`. Selecting `"Normal"` will reveal an input for `pbr`. Selecting `"Geometry"` will not reveal any additional inputs. + +**Constraint:** The `"LowPoly"` generate type cannot be used with the `"3.1"` model. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | A legacy output for backward compatibility. | +| `GLB` | FILE3DGLB | The generated 3D model in the GLB file format. | +| `OBJ` | FILE3DOBJ | The generated 3D model in the OBJ file format. | diff --git a/built-in-nodes/TerminalLog.mdx b/built-in-nodes/TerminalLog.mdx new file mode 100644 index 000000000..0aa333a14 --- /dev/null +++ b/built-in-nodes/TerminalLog.mdx @@ -0,0 +1,8 @@ +--- +title: "TerminalLog - ComfyUI Built-in Node Documentation" +description: "Terminal Log (Manager) node is primarily used to display the running information of ComfyUI in the terminal within the ComfyUI interface. To use it, you need to set the `mode` to **logging** mode. ..." +sidebarTitle: "TerminalLog" +icon: "circle" +--- +Terminal Log (Manager) node is primarily used to display the running information of ComfyUI in the terminal within the ComfyUI interface. To use it, you need to set the `mode` to **logging** mode. This will allow it to record corresponding log information during the image generation task. If the `mode` is set to **stop** mode, it will not record log information. +When you access and use ComfyUI via remote connections or local area network connections, Terminal Log (Manager) node becomes particularly useful. It allows you to directly view error messages from the CMD within the ComfyUI interface, making it easier to understand the current status of ComfyUI's operation. diff --git a/built-in-nodes/TextEncodeAceStepAudio.mdx b/built-in-nodes/TextEncodeAceStepAudio.mdx new file mode 100644 index 000000000..361a0a6ab --- /dev/null +++ b/built-in-nodes/TextEncodeAceStepAudio.mdx @@ -0,0 +1,24 @@ +--- +title: "TextEncodeAceStepAudio - ComfyUI Built-in Node Documentation" +description: "The TextEncodeAceStepAudio node processes text inputs for audio conditioning by combining tags and lyrics into tokens, then encoding them with adjustable lyrics strength. It takes a CLIP model alon..." +sidebarTitle: "TextEncodeAceStepAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/en.md) + +The TextEncodeAceStepAudio node processes text inputs for audio conditioning by combining tags and lyrics into tokens, then encoding them with adjustable lyrics strength. It takes a CLIP model along with text descriptions and lyrics, tokenizes them together, and generates conditioning data suitable for audio generation tasks. The node allows fine-tuning the influence of lyrics through a strength parameter that controls their impact on the final output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | The CLIP model used for tokenization and encoding | +| `tags` | STRING | Yes | - | Text tags or descriptions for audio conditioning (supports multiline input and dynamic prompts) | +| `lyrics` | STRING | Yes | - | Lyrics text for audio conditioning (supports multiline input and dynamic prompts) | +| `lyrics_strength` | FLOAT | No | 0.0 - 10.0 | Controls the strength of lyrics influence on the conditioning output (default: 1.0, step: 0.01) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `conditioning` | CONDITIONING | The encoded conditioning data containing processed text tokens with applied lyrics strength | diff --git a/built-in-nodes/TextEncodeAceStepAudio1.5.mdx b/built-in-nodes/TextEncodeAceStepAudio1.5.mdx new file mode 100644 index 000000000..aebf2e778 --- /dev/null +++ b/built-in-nodes/TextEncodeAceStepAudio1.5.mdx @@ -0,0 +1,34 @@ +--- +title: "TextEncodeAceStepAudio1.5 - ComfyUI Built-in Node Documentation" +description: "The TextEncodeAceStepAudio1.5 node prepares text and audio-related metadata for use with the AceStepAudio 1.5 model. It takes descriptive tags, lyrics, and musical parameters, then uses a CLIP mode..." +sidebarTitle: "TextEncodeAceStepAudio1.5" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/en.md) + +The TextEncodeAceStepAudio1.5 node prepares text and audio-related metadata for use with the AceStepAudio 1.5 model. It takes descriptive tags, lyrics, and musical parameters, then uses a CLIP model to convert them into a conditioning format suitable for audio generation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | N/A | The CLIP model used to tokenize and encode the input text. | +| `tags` | STRING | Yes | N/A | Descriptive tags for the audio, such as genre, mood, or instruments. Supports multiline input and dynamic prompts. | +| `lyrics` | STRING | Yes | N/A | The lyrics for the audio track. Supports multiline input and dynamic prompts. | +| `seed` | INT | No | 0 to 18446744073709551615 | A random seed value for reproducible generation. Has a control_after_generate widget. Default: 0. | +| `bpm` | INT | No | 10 to 300 | The beats per minute (BPM) for the generated audio. Default: 120. | +| `duration` | FLOAT | No | 0.0 to 2000.0 | The desired duration of the audio in seconds. Default: 120.0. | +| `timesignature` | COMBO | No | `"2"`
`"3"`
`"4"`
`"6"` | The musical time signature. | +| `language` | COMBO | No | `"en"`
`"ja"`
`"zh"`
`"es"`
`"de"`
`"fr"`
`"pt"`
`"ru"`
`"it"`
`"nl"`
`"pl"`
`"tr"`
`"vi"`
`"cs"`
`"fa"`
`"id"`
`"ko"`
`"uk"`
`"hu"`
`"ar"`
`"sv"`
`"ro"`
`"el"` | The language of the input text. | +| `keyscale` | COMBO | No | `"C major"`
`"C minor"`
`"C# major"`
`"C# minor"`
`"Db major"`
`"Db minor"`
`"D major"`
`"D minor"`
`"D# major"`
`"D# minor"`
`"Eb major"`
`"Eb minor"`
`"E major"`
`"E minor"`
`"F major"`
`"F minor"`
`"F# major"`
`"F# minor"`
`"Gb major"`
`"Gb minor"`
`"G major"`
`"G minor"`
`"G# major"`
`"G# minor"`
`"Ab major"`
`"Ab minor"`
`"A major"`
`"A minor"`
`"A# major"`
`"A# minor"`
`"Bb major"`
`"Bb minor"`
`"B major"`
`"B minor"` | The musical key and scale (major or minor). | +| `generate_audio_codes` | BOOLEAN | No | N/A | Enable the LLM that generates audio codes. This can be slow but will increase the quality of the generated audio. Turn this off if you are giving the model an audio reference. Default: True. | +| `cfg_scale` | FLOAT | No | 0.0 to 100.0 | The classifier-free guidance scale. Higher values make the output more closely follow the prompt. Default: 2.0. | +| `temperature` | FLOAT | No | 0.0 to 2.0 | A sampling temperature. Lower values make the output more deterministic. Default: 0.85. | +| `top_p` | FLOAT | No | 0.0 to 2000.0 | The nucleus sampling probability (top-p). Default: 0.9. | +| `top_k` | INT | No | 0 to 100 | The number of highest probability tokens to consider (top-k). Default: 0. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The conditioning data, which contains the encoded text and audio parameters for the AceStepAudio 1.5 model. | diff --git a/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx b/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx new file mode 100644 index 000000000..94d3bc6d5 --- /dev/null +++ b/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx @@ -0,0 +1,24 @@ +--- +title: "TextEncodeHunyuanVideo_ImageToVideo - ComfyUI Built-in Node Documentation" +description: "The TextEncodeHunyuanVideo_ImageToVideo node creates conditioning data for video generation by combining text prompts with image embeddings. It uses a CLIP model to process both the text input and ..." +sidebarTitle: "TextEncodeHunyuanVideo_ImageToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/en.md) + +The TextEncodeHunyuanVideo_ImageToVideo node creates conditioning data for video generation by combining text prompts with image embeddings. It uses a CLIP model to process both the text input and visual information from a CLIP vision output, then generates tokens that blend these two sources according to the specified image interleave setting. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | The CLIP model used for tokenization and encoding | +| `clip_vision_output` | CLIP_VISION_OUTPUT | Yes | - | The visual embeddings from a CLIP vision model that provide image context | +| `prompt` | STRING | Yes | - | The text description to guide the video generation, supports multiline input and dynamic prompts | +| `image_interleave` | INT | Yes | 1-512 | How much the image influences things vs the text prompt. Higher number means more influence from the text prompt. (default: 2) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The conditioning data that combines text and image information for video generation | diff --git a/built-in-nodes/TextEncodeQwenImageEdit.mdx b/built-in-nodes/TextEncodeQwenImageEdit.mdx new file mode 100644 index 000000000..15adab335 --- /dev/null +++ b/built-in-nodes/TextEncodeQwenImageEdit.mdx @@ -0,0 +1,26 @@ +--- +title: "TextEncodeQwenImageEdit - ComfyUI Built-in Node Documentation" +description: "The TextEncodeQwenImageEdit node processes text prompts and optional images to generate conditioning data for image generation or editing. It uses a CLIP model to tokenize the input and can optiona..." +sidebarTitle: "TextEncodeQwenImageEdit" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/en.md) + +The TextEncodeQwenImageEdit node processes text prompts and optional images to generate conditioning data for image generation or editing. It uses a CLIP model to tokenize the input and can optionally encode reference images using a VAE to create reference latents. When an image is provided, it automatically resizes the image to maintain consistent processing dimensions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | The CLIP model used for text and image tokenization | +| `prompt` | STRING | Yes | - | Text prompt for conditioning generation, supports multiline input and dynamic prompts | +| `vae` | VAE | No | - | Optional VAE model for encoding reference images into latents | +| `image` | IMAGE | No | - | Optional input image for reference or editing purposes | + +**Note:** When both `image` and `vae` are provided, the node encodes the image into reference latents and attaches them to the conditioning output. The image is automatically resized to maintain a consistent processing scale of approximately 1024x1024 pixels. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | Conditioning data containing text tokens and optional reference latents for image generation | diff --git a/built-in-nodes/TextEncodeQwenImageEditPlus.mdx b/built-in-nodes/TextEncodeQwenImageEditPlus.mdx new file mode 100644 index 000000000..18373ede6 --- /dev/null +++ b/built-in-nodes/TextEncodeQwenImageEditPlus.mdx @@ -0,0 +1,28 @@ +--- +title: "TextEncodeQwenImageEditPlus - ComfyUI Built-in Node Documentation" +description: "The TextEncodeQwenImageEditPlus node processes text prompts and optional images to generate conditioning data for image generation or editing tasks. It uses a specialized template to analyze input ..." +sidebarTitle: "TextEncodeQwenImageEditPlus" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/en.md) + +The TextEncodeQwenImageEditPlus node processes text prompts and optional images to generate conditioning data for image generation or editing tasks. It uses a specialized template to analyze input images and understand how text instructions should modify them, then encodes this information for use in subsequent generation steps. The node can handle up to three input images and optionally generate reference latents when a VAE is provided. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | The CLIP model used for tokenization and encoding | +| `prompt` | STRING | Yes | - | Text instruction describing the desired image modification (supports multiline input and dynamic prompts) | +| `vae` | VAE | No | - | Optional VAE model for generating reference latents from input images | +| `image1` | IMAGE | No | - | First optional input image for analysis and modification | +| `image2` | IMAGE | No | - | Second optional input image for analysis and modification | +| `image3` | IMAGE | No | - | Third optional input image for analysis and modification | + +**Note:** When a VAE is provided, the node generates reference latents from all input images. The node can process up to three images simultaneously, and images are automatically resized to appropriate dimensions for processing. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | Encoded conditioning data containing text tokens and optional reference latents for image generation | diff --git a/built-in-nodes/TextEncodeZImageOmni.mdx b/built-in-nodes/TextEncodeZImageOmni.mdx new file mode 100644 index 000000000..c972548ab --- /dev/null +++ b/built-in-nodes/TextEncodeZImageOmni.mdx @@ -0,0 +1,30 @@ +--- +title: "TextEncodeZImageOmni - ComfyUI Built-in Node Documentation" +description: "The TextEncodeZImageOmni node is an advanced conditioning node that encodes a text prompt along with optional reference images into a conditioning format suitable for image generation models. It ca..." +sidebarTitle: "TextEncodeZImageOmni" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeZImageOmni/en.md) + +The TextEncodeZImageOmni node is an advanced conditioning node that encodes a text prompt along with optional reference images into a conditioning format suitable for image generation models. It can process up to three images, optionally encoding them with a vision encoder and/or a VAE to produce reference latents, and integrates these visual references with the text prompt using a specific template structure. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | | The CLIP model used for tokenizing and encoding the text prompt. | +| `image_encoder` | CLIPVision | No | | An optional vision encoder model. If provided, it will be used to encode the input images, and the resulting embeddings will be added to the conditioning. | +| `prompt` | STRING | Yes | | The text prompt to be encoded. This field supports multiline input and dynamic prompts. | +| `auto_resize_images` | BOOLEAN | No | | When enabled (default: True), input images will be automatically resized based on their pixel area before being passed to the VAE for encoding. | +| `vae` | VAE | No | | An optional VAE model. If provided, it will be used to encode the input images into latent representations, which are added to the conditioning as reference latents. | +| `image1` | IMAGE | No | | The first optional reference image. | +| `image2` | IMAGE | No | | The second optional reference image. | +| `image3` | IMAGE | No | | The third optional reference image. | + +**Note:** The node can accept a maximum of three images (`image1`, `image2`, `image3`). The `image_encoder` and `vae` inputs are only utilized if at least one image is provided. When `auto_resize_images` is True and a `vae` is connected, images are resized to have a total pixel area close to 1024x1024 before encoding. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The final conditioning output, which contains the encoded text prompt and may include encoded image embeddings and/or reference latents if images were provided. | diff --git a/built-in-nodes/TextGenerate.mdx b/built-in-nodes/TextGenerate.mdx new file mode 100644 index 000000000..bfec83120 --- /dev/null +++ b/built-in-nodes/TextGenerate.mdx @@ -0,0 +1,33 @@ +--- +title: "TextGenerate - ComfyUI Built-in Node Documentation" +description: "The TextGenerate node uses a CLIP model to create text based on a user's prompt. It can optionally use an image as a visual reference to guide the text generation. You can control the length of the..." +sidebarTitle: "TextGenerate" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerate/en.md) + +The TextGenerate node uses a CLIP model to create text based on a user's prompt. It can optionally use an image as a visual reference to guide the text generation. You can control the length of the output and choose whether to use random sampling with various settings or to generate text without sampling. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | N/A | The CLIP model used for tokenizing the prompt and generating text. | +| `prompt` | STRING | Yes | N/A | The text prompt that guides the generation. This field supports multiple lines and dynamic prompts. The default value is an empty string. | +| `image` | IMAGE | No | N/A | An optional image that can be used alongside the text prompt to influence the generated text. | +| `max_length` | INT | Yes | 1 to 2048 | The maximum number of tokens the model will generate. The default value is 256. | +| `sampling_mode` | COMBO | Yes | `"on"`
`"off"` | Controls whether random sampling is used during text generation. When set to "on", additional parameters for controlling the sampling become available. The default is "on". | +| `temperature` | FLOAT | No | 0.01 to 2.0 | Controls the randomness of the output. Lower values make the output more predictable, higher values make it more creative. This parameter is only available when `sampling_mode` is "on". The default value is 0.7. | +| `top_k` | INT | No | 0 to 1000 | Limits the sampling pool to the top K most likely next tokens. A value of 0 disables this filter. This parameter is only available when `sampling_mode` is "on". The default value is 64. | +| `top_p` | FLOAT | No | 0.0 to 1.0 | Uses nucleus sampling, limiting choices to tokens whose cumulative probability is less than this value. This parameter is only available when `sampling_mode` is "on". The default value is 0.95. | +| `min_p` | FLOAT | No | 0.0 to 1.0 | Sets a minimum probability threshold for tokens to be considered. This parameter is only available when `sampling_mode` is "on". The default value is 0.05. | +| `repetition_penalty` | FLOAT | No | 0.0 to 5.0 | Penalizes tokens that have already been generated to reduce repetition. A value of 1.0 applies no penalty. This parameter is only available when `sampling_mode` is "on". The default value is 1.05. | +| `seed` | INT | No | 0 to 18446744073709551615 | A number used to initialize the random number generator for reproducible results when sampling is "on". The default value is 0. | + +**Note:** The parameters `temperature`, `top_k`, `top_p`, `min_p`, `repetition_penalty`, and `seed` are only active and visible in the node interface when the `sampling_mode` is set to "on". + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `generated_text` | STRING | The text generated by the model based on the input prompt and optional image. | diff --git a/built-in-nodes/TextGenerateLTX2Prompt.mdx b/built-in-nodes/TextGenerateLTX2Prompt.mdx new file mode 100644 index 000000000..7b66d6907 --- /dev/null +++ b/built-in-nodes/TextGenerateLTX2Prompt.mdx @@ -0,0 +1,27 @@ +--- +title: "TextGenerateLTX2Prompt - ComfyUI Built-in Node Documentation" +description: "The TextGenerateLTX2Prompt node is a specialized version of a text generation node. It takes a user's text prompt and automatically formats it with specific system instructions before sending it to..." +sidebarTitle: "TextGenerateLTX2Prompt" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/en.md) + +The TextGenerateLTX2Prompt node is a specialized version of a text generation node. It takes a user's text prompt and automatically formats it with specific system instructions before sending it to a language model for enhancement or completion. The node can operate in two modes: text-only or with an image reference, using different system prompts for each case. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | | The CLIP model used for text encoding. | +| `prompt` | STRING | Yes | | The raw text input from the user that will be enhanced or completed. | +| `max_length` | INT | Yes | | The maximum number of tokens the language model is allowed to generate. | +| `sampling_mode` | COMBO | Yes | `"greedy"`
`"top_k"`
`"top_p"`
`"temperature"` | The sampling strategy used to select the next token during text generation. | +| `image` | IMAGE | No | | An optional input image. When provided, the node uses a different system prompt that includes a placeholder for image context. | + +**Note:** The behavior of the node changes based on the presence of the `image` input. If an image is provided, the generated prompt will be formatted for an image-to-video task. If no image is provided, the formatting will be for a text-to-video task. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The enhanced or completed text string generated by the language model. | diff --git a/built-in-nodes/TextToLowercase.mdx b/built-in-nodes/TextToLowercase.mdx new file mode 100644 index 000000000..f1c594a71 --- /dev/null +++ b/built-in-nodes/TextToLowercase.mdx @@ -0,0 +1,21 @@ +--- +title: "TextToLowercase - ComfyUI Built-in Node Documentation" +description: "The Text to Lowercase node takes a text string as input and converts all of its characters to lowercase. It is a simple utility for standardizing text case." +sidebarTitle: "TextToLowercase" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToLowercase/en.md) + +The Text to Lowercase node takes a text string as input and converts all of its characters to lowercase. It is a simple utility for standardizing text case. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `text` | STRING | Yes | Any text string | The text string to be converted to lowercase. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `text` | STRING | The input text with all characters converted to lowercase. | diff --git a/built-in-nodes/TextToUppercase.mdx b/built-in-nodes/TextToUppercase.mdx new file mode 100644 index 000000000..80cad25dd --- /dev/null +++ b/built-in-nodes/TextToUppercase.mdx @@ -0,0 +1,21 @@ +--- +title: "TextToUppercase - ComfyUI Built-in Node Documentation" +description: "The Text to Uppercase node takes a text input and converts all of its characters to uppercase. It is a simple text processing utility that modifies the case of the provided string." +sidebarTitle: "TextToUppercase" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToUppercase/en.md) + +The Text to Uppercase node takes a text input and converts all of its characters to uppercase. It is a simple text processing utility that modifies the case of the provided string. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `text` | STRING | Yes | N/A | The text string to be converted to uppercase. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `text` | STRING | The resulting text with all characters converted to uppercase. | diff --git a/built-in-nodes/ThresholdMask.mdx b/built-in-nodes/ThresholdMask.mdx new file mode 100644 index 000000000..2b4f9202f --- /dev/null +++ b/built-in-nodes/ThresholdMask.mdx @@ -0,0 +1,22 @@ +--- +title: "ThresholdMask - ComfyUI Built-in Node Documentation" +description: "The ThresholdMask node converts a mask to a binary mask by applying a threshold value. It compares each pixel in the input mask against the specified threshold value and creates a new mask where pi..." +sidebarTitle: "ThresholdMask" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ThresholdMask/en.md) + +The ThresholdMask node converts a mask to a binary mask by applying a threshold value. It compares each pixel in the input mask against the specified threshold value and creates a new mask where pixels above the threshold become 1 (white) and pixels below or equal to the threshold become 0 (black). + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `mask` | MASK | Yes | - | The input mask to be processed | +| `value` | FLOAT | Yes | 0.0 - 1.0 | The threshold value for binarization (default: 0.5) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `mask` | MASK | The resulting binary mask after thresholding | diff --git a/built-in-nodes/TomePatchModel.mdx b/built-in-nodes/TomePatchModel.mdx new file mode 100644 index 000000000..e81b37d23 --- /dev/null +++ b/built-in-nodes/TomePatchModel.mdx @@ -0,0 +1,22 @@ +--- +title: "TomePatchModel - ComfyUI Built-in Node Documentation" +description: "The TomePatchModel node applies Token Merging (ToMe) to a diffusion model to reduce computational requirements during inference. It works by selectively merging similar tokens in the attention mech..." +sidebarTitle: "TomePatchModel" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TomePatchModel/en.md) + +The TomePatchModel node applies Token Merging (ToMe) to a diffusion model to reduce computational requirements during inference. It works by selectively merging similar tokens in the attention mechanism, allowing the model to process fewer tokens while maintaining image quality. This technique helps speed up generation without significant quality loss. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to apply token merging to | +| `ratio` | FLOAT | No | 0.0 - 1.0 | The ratio of tokens to merge (default: 0.3) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with token merging applied | diff --git a/built-in-nodes/TopazImageEnhance.mdx b/built-in-nodes/TopazImageEnhance.mdx new file mode 100644 index 000000000..5f9b030f0 --- /dev/null +++ b/built-in-nodes/TopazImageEnhance.mdx @@ -0,0 +1,35 @@ +--- +title: "TopazImageEnhance - ComfyUI Built-in Node Documentation" +description: "The Topaz Image Enhance node provides industry-standard upscaling and image enhancement. It processes a single input image using a cloud-based AI model to improve quality, detail, and resolution. T..." +sidebarTitle: "TopazImageEnhance" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazImageEnhance/en.md) + +The Topaz Image Enhance node provides industry-standard upscaling and image enhancement. It processes a single input image using a cloud-based AI model to improve quality, detail, and resolution. The node offers fine-grained control over the enhancement process, including options for creative guidance, subject focus, and facial preservation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"Reimagine"` | The AI model to use for image enhancement. | +| `image` | IMAGE | Yes | - | The input image to be enhanced. Only one image is supported. | +| `prompt` | STRING | No | - | An optional text prompt for creative upscaling guidance (default: empty). | +| `subject_detection` | COMBO | No | `"All"`
`"Foreground"`
`"Background"` | Controls which part of the image the enhancement focuses on (default: "All"). | +| `face_enhancement` | BOOLEAN | No | - | Enable to enhance faces if they are present in the image (default: True). | +| `face_enhancement_creativity` | FLOAT | No | 0.0 - 1.0 | Sets the creativity level for face enhancement (default: 0.0). | +| `face_enhancement_strength` | FLOAT | No | 0.0 - 1.0 | Controls how sharp enhanced faces are relative to the background (default: 1.0). | +| `crop_to_fill` | BOOLEAN | No | - | By default, the image is letterboxed when the output aspect ratio differs. Enable to crop the image to fill the output dimensions instead (default: False). | +| `output_width` | INT | No | 0 - 32000 | The desired width of the output image. A value of 0 means it will be calculated automatically, usually based on the original size or the `output_height` if specified (default: 0). | +| `output_height` | INT | No | 0 - 32000 | The desired height of the output image. A value of 0 means it will be calculated automatically, usually based on the original size or the `output_width` if specified (default: 0). | +| `creativity` | INT | No | 1 - 9 | Controls the overall creativity level of the enhancement (default: 3). | +| `face_preservation` | BOOLEAN | No | - | Preserve the facial identity of subjects in the image (default: True). | +| `color_preservation` | BOOLEAN | No | - | Preserve the original colors of the input image (default: True). | + +**Note:** This node can only process a single input image. Providing a batch of multiple images will result in an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The enhanced output image. | diff --git a/built-in-nodes/TopazVideoEnhance.mdx b/built-in-nodes/TopazVideoEnhance.mdx new file mode 100644 index 000000000..570fe5fe7 --- /dev/null +++ b/built-in-nodes/TopazVideoEnhance.mdx @@ -0,0 +1,34 @@ +--- +title: "TopazVideoEnhance - ComfyUI Built-in Node Documentation" +description: "The Topaz Video Enhance node uses an external API to improve video quality. It can upscale video resolution, increase frame rate through interpolation, and apply compression. The node processes an ..." +sidebarTitle: "TopazVideoEnhance" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md) + +The Topaz Video Enhance node uses an external API to improve video quality. It can upscale video resolution, increase frame rate through interpolation, and apply compression. The node processes an input MP4 video and returns an enhanced version based on the selected settings. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | - | The input video file to be enhanced. | +| `upscaler_enabled` | BOOLEAN | Yes | - | Enables or disables the video upscaling feature (default: True). | +| `upscaler_model` | COMBO | Yes | `"Proteus v3"`
`"Artemis v13"`
`"Artemis v14"`
`"Artemis v15"`
`"Gaia v6"`
`"Theia v3"`
`"Starlight (Astra) Creative"`
`"Starlight (Astra) Optimized"`
`"Starlight (Astra) Balanced"`
`"Starlight (Astra) Quality"`
`"Starlight (Astra) Speed"` | The AI model used for upscaling the video. | +| `upscaler_resolution` | COMBO | Yes | `"FullHD (1080p)"`
`"4K (2160p)"` | The target resolution for the upscaled video. | +| `upscaler_creativity` | COMBO | No | `"low"`
`"middle"`
`"high"` | Creativity level (applies only to Starlight (Astra) Creative). (default: "low") | +| `interpolation_enabled` | BOOLEAN | No | - | Enables or disables the frame interpolation feature (default: False). | +| `interpolation_model` | COMBO | No | `"apo-8"` | The model used for frame interpolation (default: "apo-8"). | +| `interpolation_slowmo` | INT | No | 1 to 16 | Slow-motion factor applied to the input video. For example, 2 makes the output twice as slow and doubles the duration. (default: 1) | +| `interpolation_frame_rate` | INT | No | 15 to 240 | Output frame rate. (default: 60) | +| `interpolation_duplicate` | BOOLEAN | No | - | Analyze the input for duplicate frames and remove them. (default: False) | +| `interpolation_duplicate_threshold` | FLOAT | No | 0.001 to 0.1 | Detection sensitivity for duplicate frames. (default: 0.01) | +| `dynamic_compression_level` | COMBO | No | `"Low"`
`"Mid"`
`"High"` | CQP level. (default: "Low") | + +**Note:** At least one enhancement feature must be enabled. The node will raise an error if both `upscaler_enabled` and `interpolation_enabled` are set to `False`. The input video must be in MP4 format. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The enhanced output video file. | diff --git a/built-in-nodes/TorchCompileModel.mdx b/built-in-nodes/TorchCompileModel.mdx new file mode 100644 index 000000000..f0eb4d89f --- /dev/null +++ b/built-in-nodes/TorchCompileModel.mdx @@ -0,0 +1,22 @@ +--- +title: "TorchCompileModel - ComfyUI Built-in Node Documentation" +description: "The TorchCompileModel node applies PyTorch compilation to a model to optimize its performance. It creates a copy of the input model and wraps it with PyTorch's compilation functionality using the s..." +sidebarTitle: "TorchCompileModel" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TorchCompileModel/en.md) + +The TorchCompileModel node applies PyTorch compilation to a model to optimize its performance. It creates a copy of the input model and wraps it with PyTorch's compilation functionality using the specified backend. This can improve the model's execution speed during inference. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to be compiled and optimized | +| `backend` | STRING | Yes | "inductor"
"cudagraphs" | The PyTorch compilation backend to use for optimization | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The compiled model with PyTorch compilation applied | diff --git a/built-in-nodes/TrainLoraNode.mdx b/built-in-nodes/TrainLoraNode.mdx new file mode 100644 index 000000000..a564f5206 --- /dev/null +++ b/built-in-nodes/TrainLoraNode.mdx @@ -0,0 +1,41 @@ +--- +title: "TrainLoraNode - ComfyUI Built-in Node Documentation" +description: "The TrainLoraNode creates and trains a LoRA (Low-Rank Adaptation) model on a diffusion model using provided latents and conditioning data. It allows you to fine-tune a model with custom training pa..." +sidebarTitle: "TrainLoraNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrainLoraNode/en.md) + +The TrainLoraNode creates and trains a LoRA (Low-Rank Adaptation) model on a diffusion model using provided latents and conditioning data. It allows you to fine-tune a model with custom training parameters, optimizers, and loss functions. The node outputs the trained model with LoRA applied, the LoRA weights, training loss metrics, and the total training steps completed. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to train the LoRA on. | +| `latents` | LATENT | Yes | - | The Latents to use for training, serve as dataset/input of the model. | +| `positive` | CONDITIONING | Yes | - | The positive conditioning to use for training. | +| `batch_size` | INT | Yes | 1-10000 | The batch size to use for training (default: 1). | +| `grad_accumulation_steps` | INT | Yes | 1-1024 | The number of gradient accumulation steps to use for training (default: 1). | +| `steps` | INT | Yes | 1-100000 | The number of steps to train the LoRA for (default: 16). | +| `learning_rate` | FLOAT | Yes | 0.0000001-1.0 | The learning rate to use for training (default: 0.0005). | +| `rank` | INT | Yes | 1-128 | The rank of the LoRA layers (default: 8). | +| `optimizer` | COMBO | Yes | "AdamW"
"Adam"
"SGD"
"RMSprop" | The optimizer to use for training (default: "AdamW"). | +| `loss_function` | COMBO | Yes | "MSE"
"L1"
"Huber"
"SmoothL1" | The loss function to use for training (default: "MSE"). | +| `seed` | INT | Yes | 0-18446744073709551615 | The seed to use for training (used in generator for LoRA weight initialization and noise sampling) (default: 0). | +| `training_dtype` | COMBO | Yes | "bf16"
"fp32" | The dtype to use for training (default: "bf16"). | +| `lora_dtype` | COMBO | Yes | "bf16"
"fp32" | The dtype to use for lora (default: "bf16"). | +| `algorithm` | COMBO | Yes | Multiple options available | The algorithm to use for training. | +| `gradient_checkpointing` | BOOLEAN | Yes | - | Use gradient checkpointing for training (default: True). | +| `existing_lora` | COMBO | Yes | Multiple options available | The existing LoRA to append to. Set to None for new LoRA (default: "[None]"). | + +**Note:** The number of positive conditioning inputs must match the number of latent images. If only one positive conditioning is provided with multiple images, it will be automatically repeated for all images. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_with_lora` | MODEL | The original model with the trained LoRA applied. | +| `lora` | LORA_MODEL | The trained LoRA weights that can be saved or applied to other models. | +| `loss` | LOSS_MAP | A dictionary containing the training loss values over time. | +| `steps` | INT | The total number of training steps completed (including any previous steps from existing LoRA). | diff --git a/built-in-nodes/TrimAudioDuration.mdx b/built-in-nodes/TrimAudioDuration.mdx new file mode 100644 index 000000000..a728057ce --- /dev/null +++ b/built-in-nodes/TrimAudioDuration.mdx @@ -0,0 +1,25 @@ +--- +title: "TrimAudioDuration - ComfyUI Built-in Node Documentation" +description: "The TrimAudioDuration node allows you to cut a specific time segment from an audio file. You can specify when to start the trim and how long the resulting audio clip should be. The node works by co..." +sidebarTitle: "TrimAudioDuration" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimAudioDuration/en.md) + +The TrimAudioDuration node allows you to cut a specific time segment from an audio file. You can specify when to start the trim and how long the resulting audio clip should be. The node works by converting time values to audio frame positions and extracting the corresponding portion of the audio waveform. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | - | The audio input to be trimmed | +| `start_index` | FLOAT | Yes | -0xffffffffffffffff to 0xffffffffffffffff | Start time in seconds, can be negative to count from the end (supports sub-seconds). Default: 0.0 | +| `duration` | FLOAT | Yes | 0.0 to 0xffffffffffffffff | Duration in seconds. Default: 60.0 | + +**Note:** The start time must be less than the end time and within the audio length. Negative start values count backwards from the end of the audio. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The trimmed audio segment with the specified start time and duration | diff --git a/built-in-nodes/TrimVideoLatent.mdx b/built-in-nodes/TrimVideoLatent.mdx new file mode 100644 index 000000000..3bb07957d --- /dev/null +++ b/built-in-nodes/TrimVideoLatent.mdx @@ -0,0 +1,22 @@ +--- +title: "TrimVideoLatent - ComfyUI Built-in Node Documentation" +description: "The TrimVideoLatent node removes frames from the beginning of a video latent representation. It takes a latent video sample and trims off a specified number of frames from the start, returning the ..." +sidebarTitle: "TrimVideoLatent" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimVideoLatent/en.md) + +The TrimVideoLatent node removes frames from the beginning of a video latent representation. It takes a latent video sample and trims off a specified number of frames from the start, returning the remaining portion of the video. This allows you to shorten video sequences by removing the initial frames. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples` | LATENT | Yes | - | The input latent video representation containing the video frames to be trimmed | +| `trim_amount` | INT | No | 0 to 99999 | The number of frames to remove from the beginning of the video (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | LATENT | The trimmed latent video representation with the specified number of frames removed from the beginning | diff --git a/built-in-nodes/TripleCLIPLoader.mdx b/built-in-nodes/TripleCLIPLoader.mdx new file mode 100644 index 000000000..b2f6a7e00 --- /dev/null +++ b/built-in-nodes/TripleCLIPLoader.mdx @@ -0,0 +1,25 @@ +--- +title: "TripleCLIPLoader - ComfyUI Built-in Node Documentation" +description: "The TripleCLIPLoader node loads three different text encoder models simultaneously and combines them into a single CLIP model. This is useful for advanced text encoding scenarios where multiple tex..." +sidebarTitle: "TripleCLIPLoader" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripleCLIPLoader/en.md) + +The TripleCLIPLoader node loads three different text encoder models simultaneously and combines them into a single CLIP model. This is useful for advanced text encoding scenarios where multiple text encoders are needed, such as in SD3 workflows that require clip-l, clip-g, and t5 models working together. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip_name1` | STRING | Yes | Multiple options available | The first text encoder model to load from the available text encoders | +| `clip_name2` | STRING | Yes | Multiple options available | The second text encoder model to load from the available text encoders | +| `clip_name3` | STRING | Yes | Multiple options available | The third text encoder model to load from the available text encoders | + +**Note:** All three text encoder parameters must be selected from the available text encoder models in your system. The node will load all three models and combine them into a single CLIP model for processing. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CLIP` | CLIP | A combined CLIP model containing all three loaded text encoders | diff --git a/built-in-nodes/TripoConversionNode.mdx b/built-in-nodes/TripoConversionNode.mdx new file mode 100644 index 000000000..42279dab1 --- /dev/null +++ b/built-in-nodes/TripoConversionNode.mdx @@ -0,0 +1,28 @@ +--- +title: "TripoConversionNode - ComfyUI Built-in Node Documentation" +description: "The TripoConversionNode converts 3D models between different file formats using the Tripo API. It takes a task ID from a previous Tripo operation and converts the resulting model to your desired fo..." +sidebarTitle: "TripoConversionNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoConversionNode/en.md) + +The TripoConversionNode converts 3D models between different file formats using the Tripo API. It takes a task ID from a previous Tripo operation and converts the resulting model to your desired format with various export options. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `original_model_task_id` | MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID | Yes | MODEL_TASK_ID
RIG_TASK_ID
RETARGET_TASK_ID | The task ID from a previous Tripo operation (model generation, rigging, or retargeting) | +| `format` | COMBO | Yes | GLTF
USDZ
FBX
OBJ
STL
3MF | The target file format for the converted 3D model | +| `quad` | BOOLEAN | No | True/False | Whether to convert triangles to quads (default: False) | +| `face_limit` | INT | No | -1 to 500000 | Maximum number of faces in the output model, use -1 for no limit (default: -1) | +| `texture_size` | INT | No | 128 to 4096 | Size of output textures in pixels (default: 4096) | +| `texture_format` | COMBO | No | BMP
DPX
HDR
JPEG
OPEN_EXR
PNG
TARGA
TIFF
WEBP | Format for exported textures (default: JPEG) | + +**Note:** The `original_model_task_id` must be a valid task ID from a previous Tripo operation (model generation, rigging, or retargeting). + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| *No named outputs* | - | This node processes the conversion asynchronously and returns the result through the Tripo API system | diff --git a/built-in-nodes/TripoImageToModelNode.mdx b/built-in-nodes/TripoImageToModelNode.mdx new file mode 100644 index 000000000..05330d5c7 --- /dev/null +++ b/built-in-nodes/TripoImageToModelNode.mdx @@ -0,0 +1,35 @@ +--- +title: "TripoImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Generates 3D models synchronously based on a single image using Tripo's API. This node takes an input image and converts it into a 3D model with various customization options for texture, quality, ..." +sidebarTitle: "TripoImageToModelNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md) + +Generates 3D models synchronously based on a single image using Tripo's API. This node takes an input image and converts it into a 3D model with various customization options for texture, quality, and model properties. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | Input image used to generate the 3D model | +| `model_version` | COMBO | No | Multiple options available | The version of the Tripo model to use for generation | +| `style` | COMBO | No | Multiple options available | Style setting for the generated model (default: "None") | +| `texture` | BOOLEAN | No | - | Whether to generate textures for the model (default: True) | +| `pbr` | BOOLEAN | No | - | Whether to use Physically Based Rendering (default: True) | +| `model_seed` | INT | No | - | Random seed for model generation (default: 42) | +| `orientation` | COMBO | No | Multiple options available | Orientation setting for the generated model | +| `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) | +| `texture_quality` | COMBO | No | "standard"
"detailed" | Quality level for texture generation (default: "standard") | +| `texture_alignment` | COMBO | No | "original_image"
"geometry" | Alignment method for texture mapping (default: "original_image") | +| `face_limit` | INT | No | -1 to 500000 | Maximum number of faces in the generated model, -1 for no limit (default: -1) | +| `quad` | BOOLEAN | No | - | Whether to use quadrilateral faces instead of triangles (default: False) | + +**Note:** The `image` parameter is required and must be provided for the node to function. If no image is provided, the node will raise a RuntimeError. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The generated 3D model file | +| `model task_id` | MODEL_TASK_ID | The task ID for tracking the model generation process | diff --git a/built-in-nodes/TripoMultiviewToModelNode.mdx b/built-in-nodes/TripoMultiviewToModelNode.mdx new file mode 100644 index 000000000..28546ccbc --- /dev/null +++ b/built-in-nodes/TripoMultiviewToModelNode.mdx @@ -0,0 +1,37 @@ +--- +title: "TripoMultiviewToModelNode - ComfyUI Built-in Node Documentation" +description: "This node generates 3D models synchronously using Tripo's API by processing up to four images showing different views of an object. It requires a front image and at least one additional view (left,..." +sidebarTitle: "TripoMultiviewToModelNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md) + +This node generates 3D models synchronously using Tripo's API by processing up to four images showing different views of an object. It requires a front image and at least one additional view (left, back, or right) to create a complete 3D model with texture and material options. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | Front view image of the object (required) | +| `image_left` | IMAGE | No | - | Left view image of the object | +| `image_back` | IMAGE | No | - | Back view image of the object | +| `image_right` | IMAGE | No | - | Right view image of the object | +| `model_version` | COMBO | No | Multiple options available | Tripo model version to use for generation | +| `orientation` | COMBO | No | Multiple options available | Orientation setting for the 3D model | +| `texture` | BOOLEAN | No | - | Whether to generate textures for the model (default: True) | +| `pbr` | BOOLEAN | No | - | Whether to generate PBR (Physically Based Rendering) materials (default: True) | +| `model_seed` | INT | No | - | Random seed for model generation (default: 42) | +| `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) | +| `texture_quality` | COMBO | No | "standard"
"detailed" | Quality level for texture generation (default: "standard") | +| `texture_alignment` | COMBO | No | "original_image"
"geometry" | Method for aligning textures to the model (default: "original_image") | +| `face_limit` | INT | No | -1 to 500000 | Maximum number of faces in the generated model, -1 for no limit (default: -1) | +| `quad` | BOOLEAN | No | - | Whether to generate quad-based geometry instead of triangles (default: False) | + +**Note:** The front image (`image`) is always required. At least one additional view image (`image_left`, `image_back`, or `image_right`) must be provided for multiview processing. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | File path or identifier for the generated 3D model | +| `model task_id` | MODEL_TASK_ID | Task identifier for tracking the model generation process | diff --git a/built-in-nodes/TripoRefineNode.mdx b/built-in-nodes/TripoRefineNode.mdx new file mode 100644 index 000000000..ed71c82c9 --- /dev/null +++ b/built-in-nodes/TripoRefineNode.mdx @@ -0,0 +1,27 @@ +--- +title: "TripoRefineNode - ComfyUI Built-in Node Documentation" +description: "The TripoRefineNode refines draft 3D models created specifically by v1.4 Tripo models. It takes a model task ID and processes it through the Tripo API to generate an improved version of the model. ..." +sidebarTitle: "TripoRefineNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/en.md) + +The TripoRefineNode refines draft 3D models created specifically by v1.4 Tripo models. It takes a model task ID and processes it through the Tripo API to generate an improved version of the model. This node is designed to work exclusively with draft models produced by Tripo v1.4 models. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_task_id` | MODEL_TASK_ID | Yes | - | Must be a v1.4 Tripo model | +| `auth_token` | AUTH_TOKEN_COMFY_ORG | No | - | Authentication token for Comfy.org API | +| `comfy_api_key` | API_KEY_COMFY_ORG | No | - | API key for Comfy.org services | +| `unique_id` | UNIQUE_ID | No | - | Unique identifier for the operation | + +**Note:** This node only accepts draft models created by Tripo v1.4 models. Using models from other versions may result in errors. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The file path or reference to the refined model | +| `model task_id` | MODEL_TASK_ID | The task identifier for the refined model operation | diff --git a/built-in-nodes/TripoRetargetNode.mdx b/built-in-nodes/TripoRetargetNode.mdx new file mode 100644 index 000000000..9fa02a31d --- /dev/null +++ b/built-in-nodes/TripoRetargetNode.mdx @@ -0,0 +1,26 @@ +--- +title: "TripoRetargetNode - ComfyUI Built-in Node Documentation" +description: "The TripoRetargetNode applies predefined animations to 3D character models by retargeting motion data. It takes a previously processed 3D model and applies one of several preset animations, generat..." +sidebarTitle: "TripoRetargetNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRetargetNode/en.md) + +The TripoRetargetNode applies predefined animations to 3D character models by retargeting motion data. It takes a previously processed 3D model and applies one of several preset animations, generating an animated 3D model file as output. The node communicates with the Tripo API to process the animation retargeting operation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `original_model_task_id` | RIG_TASK_ID | Yes | - | The task ID of the previously processed 3D model to apply animation to | +| `animation` | STRING | Yes | "preset:idle"
"preset:walk"
"preset:climb"
"preset:jump"
"preset:slash"
"preset:shoot"
"preset:hurt"
"preset:fall"
"preset:turn" | The animation preset to apply to the 3D model | +| `auth_token` | AUTH_TOKEN_COMFY_ORG | No | - | Authentication token for Comfy.org API access | +| `comfy_api_key` | API_KEY_COMFY_ORG | No | - | API key for Comfy.org service access | +| `unique_id` | UNIQUE_ID | No | - | Unique identifier for tracking the operation | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The generated animated 3D model file | +| `retarget task_id` | RETARGET_TASK_ID | The task ID for tracking the retargeting operation | diff --git a/built-in-nodes/TripoRigNode.mdx b/built-in-nodes/TripoRigNode.mdx new file mode 100644 index 000000000..6740bd6d5 --- /dev/null +++ b/built-in-nodes/TripoRigNode.mdx @@ -0,0 +1,25 @@ +--- +title: "TripoRigNode - ComfyUI Built-in Node Documentation" +description: "The TripoRigNode generates a rigged 3D model from an original model task ID. It sends a request to the Tripo API to create an animated rig in GLB format using the Tripo specification, then polls th..." +sidebarTitle: "TripoRigNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRigNode/en.md) + +The TripoRigNode generates a rigged 3D model from an original model task ID. It sends a request to the Tripo API to create an animated rig in GLB format using the Tripo specification, then polls the API until the rig generation task is complete. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `original_model_task_id` | MODEL_TASK_ID | Yes | - | The task ID of the original 3D model to be rigged | +| `auth_token` | AUTH_TOKEN_COMFY_ORG | No | - | Authentication token for Comfy.org API access | +| `comfy_api_key` | API_KEY_COMFY_ORG | No | - | API key for Comfy.org service authentication | +| `unique_id` | UNIQUE_ID | No | - | Unique identifier for tracking the operation | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The generated rigged 3D model file | +| `rig task_id` | RIG_TASK_ID | The task ID for tracking the rig generation process | diff --git a/built-in-nodes/TripoTextToModelNode.mdx b/built-in-nodes/TripoTextToModelNode.mdx new file mode 100644 index 000000000..164fbff67 --- /dev/null +++ b/built-in-nodes/TripoTextToModelNode.mdx @@ -0,0 +1,35 @@ +--- +title: "TripoTextToModelNode - ComfyUI Built-in Node Documentation" +description: "Generates 3D models synchronously based on a text prompt using Tripo's API. This node takes a text description and creates a 3D model with optional texture and material properties." +sidebarTitle: "TripoTextToModelNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md) + +Generates 3D models synchronously based on a text prompt using Tripo's API. This node takes a text description and creates a 3D model with optional texture and material properties. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Text description for generating the 3D model (multiline input) | +| `negative_prompt` | STRING | No | - | Text description of what to avoid in the generated model (multiline input) | +| `model_version` | COMBO | No | Multiple options available | The version of the Tripo model to use for generation | +| `style` | COMBO | No | Multiple options available | Style setting for the generated model (default: "None") | +| `texture` | BOOLEAN | No | - | Whether to generate textures for the model (default: True) | +| `pbr` | BOOLEAN | No | - | Whether to generate PBR (Physically Based Rendering) materials (default: True) | +| `image_seed` | INT | No | - | Random seed for image generation (default: 42) | +| `model_seed` | INT | No | - | Random seed for model generation (default: 42) | +| `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) | +| `texture_quality` | COMBO | No | "standard"
"detailed" | Quality level for texture generation (default: "standard") | +| `face_limit` | INT | No | -1 to 500000 | Maximum number of faces in the generated model, -1 for no limit (default: -1) | +| `quad` | BOOLEAN | No | - | Whether to generate quad-based geometry instead of triangles (default: False) | + +**Note:** The `prompt` parameter is required and cannot be empty. If no prompt is provided, the node will raise an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The generated 3D model file | +| `model task_id` | MODEL_TASK_ID | The unique task identifier for the model generation process | diff --git a/built-in-nodes/TripoTextureNode.mdx b/built-in-nodes/TripoTextureNode.mdx new file mode 100644 index 000000000..bbcfd6700 --- /dev/null +++ b/built-in-nodes/TripoTextureNode.mdx @@ -0,0 +1,29 @@ +--- +title: "TripoTextureNode - ComfyUI Built-in Node Documentation" +description: "The TripoTextureNode generates textured 3D models using the Tripo API. It takes a model task ID and applies texture generation with various options including PBR materials, texture quality settings..." +sidebarTitle: "TripoTextureNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextureNode/en.md) + +The TripoTextureNode generates textured 3D models using the Tripo API. It takes a model task ID and applies texture generation with various options including PBR materials, texture quality settings, and alignment methods. The node communicates with the Tripo API to process the texture generation request and returns the resulting model file and task ID. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_task_id` | MODEL_TASK_ID | Yes | - | The task ID of the model to apply textures to | +| `texture` | BOOLEAN | No | - | Whether to generate textures (default: True) | +| `pbr` | BOOLEAN | No | - | Whether to generate PBR (Physically Based Rendering) materials (default: True) | +| `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) | +| `texture_quality` | COMBO | No | "standard"
"detailed" | Quality level for texture generation (default: "standard") | +| `texture_alignment` | COMBO | No | "original_image"
"geometry" | Method for aligning textures (default: "original_image") | + +*Note: This node requires authentication tokens and API keys which are automatically handled by the system.* + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The generated model file with applied textures | +| `model task_id` | MODEL_TASK_ID | The task ID for tracking the texture generation process | diff --git a/built-in-nodes/TruncateText.mdx b/built-in-nodes/TruncateText.mdx new file mode 100644 index 000000000..6e9ed3cc4 --- /dev/null +++ b/built-in-nodes/TruncateText.mdx @@ -0,0 +1,22 @@ +--- +title: "TruncateText - ComfyUI Built-in Node Documentation" +description: "This node shortens text by cutting it off at a specified maximum length. It takes any input text and returns only the first part, up to the number of characters you set. It is a simple way to ensur..." +sidebarTitle: "TruncateText" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TruncateText/en.md) + +This node shortens text by cutting it off at a specified maximum length. It takes any input text and returns only the first part, up to the number of characters you set. It is a simple way to ensure text does not exceed a certain size. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `text` | STRING | Yes | N/A | The text string to be truncated. | +| `max_length` | INT | No | 1 to 10000 | Maximum text length. The text will be cut off after this many characters (default: 77). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `string` | STRING | The truncated text, containing only the first `max_length` characters from the input. | diff --git a/built-in-nodes/UNETLoader.mdx b/built-in-nodes/UNETLoader.mdx new file mode 100644 index 000000000..67113d22a --- /dev/null +++ b/built-in-nodes/UNETLoader.mdx @@ -0,0 +1,23 @@ +--- +title: "UNETLoader - ComfyUI Built-in Node Documentation" +description: "The UNETLoader node is designed for loading U-Net models by name, facilitating the use of pre-trained U-Net architectures within the system." +sidebarTitle: "UNETLoader" +icon: "circle" +--- + +The UNETLoader node is designed for loading U-Net models by name, facilitating the use of pre-trained U-Net architectures within the system. + +This node will detect models located in the `ComfyUI/models/diffusion_models` folder. + +## Inputs + +| Parameter | Data Type | Description | +|-------------|--------------|-------------| +| `unet_name` | COMBO[STRING] | Specifies the name of the U-Net model to be loaded. This name is used to locate the model within a predefined directory structure, enabling the dynamic loading of different U-Net models. | +| `weight_dtype` | ... | 🚧 fp8_e4m3fn fp9_e5m2 | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model` | MODEL | Returns the loaded U-Net model, allowing it to be utilized for further processing or inference within the system. | diff --git a/built-in-nodes/UNetCrossAttentionMultiply.mdx b/built-in-nodes/UNetCrossAttentionMultiply.mdx new file mode 100644 index 000000000..b8cd27ea5 --- /dev/null +++ b/built-in-nodes/UNetCrossAttentionMultiply.mdx @@ -0,0 +1,25 @@ +--- +title: "UNetCrossAttentionMultiply - ComfyUI Built-in Node Documentation" +description: "The UNetCrossAttentionMultiply node applies multiplication factors to the cross-attention mechanism in a UNet model. It allows you to scale the query, key, value, and output components of the cross..." +sidebarTitle: "UNetCrossAttentionMultiply" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/en.md) + +The UNetCrossAttentionMultiply node applies multiplication factors to the cross-attention mechanism in a UNet model. It allows you to scale the query, key, value, and output components of the cross-attention layers to experiment with different attention behaviors and effects. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The UNet model to modify with attention scaling factors | +| `q` | FLOAT | No | 0.0 - 10.0 | Scaling factor for query components in cross-attention (default: 1.0) | +| `k` | FLOAT | No | 0.0 - 10.0 | Scaling factor for key components in cross-attention (default: 1.0) | +| `v` | FLOAT | No | 0.0 - 10.0 | Scaling factor for value components in cross-attention (default: 1.0) | +| `out` | FLOAT | No | 0.0 - 10.0 | Scaling factor for output components in cross-attention (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified UNet model with scaled cross-attention components | diff --git a/built-in-nodes/UNetSelfAttentionMultiply.mdx b/built-in-nodes/UNetSelfAttentionMultiply.mdx new file mode 100644 index 000000000..100fd1761 --- /dev/null +++ b/built-in-nodes/UNetSelfAttentionMultiply.mdx @@ -0,0 +1,25 @@ +--- +title: "UNetSelfAttentionMultiply - ComfyUI Built-in Node Documentation" +description: "The UNetSelfAttentionMultiply node applies multiplication factors to the query, key, value, and output components of the self-attention mechanism in a UNet model. It allows you to scale different p..." +sidebarTitle: "UNetSelfAttentionMultiply" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/en.md) + +The UNetSelfAttentionMultiply node applies multiplication factors to the query, key, value, and output components of the self-attention mechanism in a UNet model. It allows you to scale different parts of the attention computation to experiment with how attention weights affect the model's behavior. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The UNet model to modify with attention scaling factors | +| `q` | FLOAT | No | 0.0 - 10.0 | Multiplication factor for query component (default: 1.0) | +| `k` | FLOAT | No | 0.0 - 10.0 | Multiplication factor for key component (default: 1.0) | +| `v` | FLOAT | No | 0.0 - 10.0 | Multiplication factor for value component (default: 1.0) | +| `out` | FLOAT | No | 0.0 - 10.0 | Multiplication factor for output component (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MODEL` | MODEL | The modified UNet model with scaled attention components | diff --git a/built-in-nodes/UNetTemporalAttentionMultiply.mdx b/built-in-nodes/UNetTemporalAttentionMultiply.mdx new file mode 100644 index 000000000..0392f475e --- /dev/null +++ b/built-in-nodes/UNetTemporalAttentionMultiply.mdx @@ -0,0 +1,25 @@ +--- +title: "UNetTemporalAttentionMultiply - ComfyUI Built-in Node Documentation" +description: "The UNetTemporalAttentionMultiply node applies multiplication factors to different types of attention mechanisms in a temporal UNet model. It modifies the model by adjusting the weights of self-att..." +sidebarTitle: "UNetTemporalAttentionMultiply" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/en.md) + +The UNetTemporalAttentionMultiply node applies multiplication factors to different types of attention mechanisms in a temporal UNet model. It modifies the model by adjusting the weights of self-attention and cross-attention layers, distinguishing between structural and temporal components. This allows fine-tuning of how much influence each attention type has on the model's output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The input model to modify with attention multipliers | +| `self_structural` | FLOAT | No | 0.0 - 10.0 | Multiplier for self-attention structural components (default: 1.0) | +| `self_temporal` | FLOAT | No | 0.0 - 10.0 | Multiplier for self-attention temporal components (default: 1.0) | +| `cross_structural` | FLOAT | No | 0.0 - 10.0 | Multiplier for cross-attention structural components (default: 1.0) | +| `cross_temporal` | FLOAT | No | 0.0 - 10.0 | Multiplier for cross-attention temporal components (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with adjusted attention weights | diff --git a/built-in-nodes/USOStyleReference.mdx b/built-in-nodes/USOStyleReference.mdx new file mode 100644 index 000000000..69b90cf51 --- /dev/null +++ b/built-in-nodes/USOStyleReference.mdx @@ -0,0 +1,23 @@ +--- +title: "USOStyleReference - ComfyUI Built-in Node Documentation" +description: "The USOStyleReference node applies style reference patches to models using encoded image features from CLIP vision output. It creates a modified version of the input model by incorporating style in..." +sidebarTitle: "USOStyleReference" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/USOStyleReference/en.md) + +The USOStyleReference node applies style reference patches to models using encoded image features from CLIP vision output. It creates a modified version of the input model by incorporating style information extracted from visual inputs, enabling style transfer or reference-based generation capabilities. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The base model to apply the style reference patch to | +| `model_patch` | MODEL_PATCH | Yes | - | The model patch containing style reference information | +| `clip_vision_output` | CLIP_VISION_OUTPUT | Yes | - | The encoded visual features extracted from CLIP vision processing | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with applied style reference patches | diff --git a/built-in-nodes/UpscaleModelLoader.mdx b/built-in-nodes/UpscaleModelLoader.mdx new file mode 100644 index 000000000..d554df414 --- /dev/null +++ b/built-in-nodes/UpscaleModelLoader.mdx @@ -0,0 +1,21 @@ +--- +title: "UpscaleModelLoader - ComfyUI Built-in Node Documentation" +description: "This node will detect models located in the `ComfyUI/models/upscale_models` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you ..." +sidebarTitle: "UpscaleModelLoader" +icon: "circle" +--- +This node will detect models located in the `ComfyUI/models/upscale_models` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to **refresh the ComfyUI interface** to allow it to read the model files from the corresponding folder. + +The UpscaleModelLoader node is designed for loading upscale models from a specified directory. It facilitates the retrieval and preparation of upscale models for image upscaling tasks, ensuring that the models are correctly loaded and configured for evaluation. + +## Inputs + +| Field | Comfy dtype | Description | +|----------------|-------------------|-----------------------------------------------------------------------------------| +| `model_name` | `COMBO[STRING]` | Specifies the name of the upscale model to be loaded, identifying and retrieving the correct model file from the upscale models directory. | + +## Outputs + +| Field | Comfy dtype | Description | +|-------------------|---------------------|--------------------------------------------------------------------------| +| `upscale_model` | `UPSCALE_MODEL` | Returns the loaded and prepared upscale model, ready for use in image upscaling tasks. | diff --git a/built-in-nodes/VAEDecode.mdx b/built-in-nodes/VAEDecode.mdx new file mode 100644 index 000000000..9227c5fac --- /dev/null +++ b/built-in-nodes/VAEDecode.mdx @@ -0,0 +1,21 @@ +--- +title: "VAEDecode - ComfyUI Built-in Node Documentation" +description: "The VAEDecode node is designed for decoding latent representations into images using a specified Variational Autoencoder (VAE). It serves the purpose of generating images from compressed data repre..." +sidebarTitle: "VAEDecode" +icon: "circle" +--- + +The VAEDecode node is designed for decoding latent representations into images using a specified Variational Autoencoder (VAE). It serves the purpose of generating images from compressed data representations, facilitating the reconstruction of images from their latent space encodings. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `samples` | `LATENT` | The 'samples' parameter represents the latent representations to be decoded into images. It is crucial for the decoding process as it provides the compressed data from which the images are reconstructed. | +| `vae` | VAE | The 'vae' parameter specifies the Variational Autoencoder model to be used for decoding the latent representations into images. It is essential for determining the decoding mechanism and the quality of the reconstructed images. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `image` | `IMAGE` | The output is an image reconstructed from the provided latent representation using the specified VAE model. | diff --git a/built-in-nodes/VAEDecodeAudio.mdx b/built-in-nodes/VAEDecodeAudio.mdx new file mode 100644 index 000000000..2dff8f9eb --- /dev/null +++ b/built-in-nodes/VAEDecodeAudio.mdx @@ -0,0 +1,22 @@ +--- +title: "VAEDecodeAudio - ComfyUI Built-in Node Documentation" +description: "The VAEDecodeAudio node converts latent representations back into audio waveforms using a Variational Autoencoder. It takes encoded audio samples and processes them through the VAE to reconstruct t..." +sidebarTitle: "VAEDecodeAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudio/en.md) + +The VAEDecodeAudio node converts latent representations back into audio waveforms using a Variational Autoencoder. It takes encoded audio samples and processes them through the VAE to reconstruct the original audio, applying normalization to ensure consistent output levels. The resulting audio is returned with a standard sample rate of 44100 Hz. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples` | LATENT | Yes | - | The encoded audio samples in latent space that will be decoded back to audio waveform | +| `vae` | VAE | Yes | - | The Variational Autoencoder model used to decode the latent samples into audio | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `AUDIO` | AUDIO | The decoded audio waveform with normalized volume and 44100 Hz sample rate | diff --git a/built-in-nodes/VAEDecodeAudioTiled.mdx b/built-in-nodes/VAEDecodeAudioTiled.mdx new file mode 100644 index 000000000..20c4cd7f1 --- /dev/null +++ b/built-in-nodes/VAEDecodeAudioTiled.mdx @@ -0,0 +1,24 @@ +--- +title: "VAEDecodeAudioTiled - ComfyUI Built-in Node Documentation" +description: "This node converts a compressed audio representation (latent samples) back into an audio waveform using a Variational Autoencoder (VAE). It processes the data in smaller, overlapping sections (tile..." +sidebarTitle: "VAEDecodeAudioTiled" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/en.md) + +This node converts a compressed audio representation (latent samples) back into an audio waveform using a Variational Autoencoder (VAE). It processes the data in smaller, overlapping sections (tiles) to manage memory usage, making it suitable for handling longer audio sequences. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples` | LATENT | Yes | N/A | The compressed latent representation of the audio to be decoded. | +| `vae` | VAE | Yes | N/A | The Variational Autoencoder model used to perform the decoding. | +| `tile_size` | INT | No | 32 to 8192 | The size of each processing tile. The audio is decoded in sections of this length to conserve memory (default: 512). | +| `overlap` | INT | No | 0 to 1024 | The number of samples that adjacent tiles overlap. This helps to reduce artifacts at the boundaries between tiles (default: 64). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | AUDIO | The decoded audio waveform. | diff --git a/built-in-nodes/VAEDecodeHunyuan3D.mdx b/built-in-nodes/VAEDecodeHunyuan3D.mdx new file mode 100644 index 000000000..cb2dc1e33 --- /dev/null +++ b/built-in-nodes/VAEDecodeHunyuan3D.mdx @@ -0,0 +1,24 @@ +--- +title: "VAEDecodeHunyuan3D - ComfyUI Built-in Node Documentation" +description: "The VAEDecodeHunyuan3D node converts latent representations into 3D voxel data using a VAE decoder. It processes the latent samples through the VAE model with configurable chunking and resolution s..." +sidebarTitle: "VAEDecodeHunyuan3D" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/en.md) + +The VAEDecodeHunyuan3D node converts latent representations into 3D voxel data using a VAE decoder. It processes the latent samples through the VAE model with configurable chunking and resolution settings to generate volumetric data suitable for 3D applications. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples` | LATENT | Yes | - | The latent representation to be decoded into 3D voxel data | +| `vae` | VAE | Yes | - | The VAE model used for decoding the latent samples | +| `num_chunks` | INT | Yes | 1000-500000 | The number of chunks to split the processing into for memory management (default: 8000) | +| `octree_resolution` | INT | Yes | 16-512 | The resolution of the octree structure used for 3D voxel generation (default: 256) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `voxels` | VOXEL | The generated 3D voxel data from the decoded latent representation | diff --git a/built-in-nodes/VAEDecodeTiled.mdx b/built-in-nodes/VAEDecodeTiled.mdx new file mode 100644 index 000000000..74a6aa8d7 --- /dev/null +++ b/built-in-nodes/VAEDecodeTiled.mdx @@ -0,0 +1,28 @@ +--- +title: "VAEDecodeTiled - ComfyUI Built-in Node Documentation" +description: "The VAEDecodeTiled node decodes latent representations into images using a tiled approach to handle large images efficiently. It processes the input in smaller tiles to manage memory usage while ma..." +sidebarTitle: "VAEDecodeTiled" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeTiled/en.md) + +The VAEDecodeTiled node decodes latent representations into images using a tiled approach to handle large images efficiently. It processes the input in smaller tiles to manage memory usage while maintaining image quality. The node also supports video VAEs by processing temporal frames in chunks with overlap for smooth transitions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `samples` | LATENT | Yes | - | The latent representation to be decoded into images | +| `vae` | VAE | Yes | - | The VAE model used for decoding the latent samples | +| `tile_size` | INT | Yes | 64-4096 (step: 32) | The size of each tile for processing (default: 512) | +| `overlap` | INT | Yes | 0-4096 (step: 32) | The amount of overlap between adjacent tiles (default: 64) | +| `temporal_size` | INT | Yes | 8-4096 (step: 4) | Only used for video VAEs: Amount of frames to decode at a time (default: 64) | +| `temporal_overlap` | INT | Yes | 4-4096 (step: 4) | Only used for video VAEs: Amount of frames to overlap (default: 8) | + +**Note:** The node automatically adjusts overlap values if they exceed practical limits. If `tile_size` is less than 4 times the `overlap`, the overlap is reduced to one quarter of the tile size. Similarly, if `temporal_size` is less than twice the `temporal_overlap`, the temporal overlap is halved. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The decoded image or images generated from the latent representation | diff --git a/built-in-nodes/VAEEncode.mdx b/built-in-nodes/VAEEncode.mdx new file mode 100644 index 000000000..03c649d01 --- /dev/null +++ b/built-in-nodes/VAEEncode.mdx @@ -0,0 +1,21 @@ +--- +title: "VAEEncode - ComfyUI Built-in Node Documentation" +description: "This node is designed for encoding images into a latent space representation using a specified VAE model. It abstracts the complexity of the encoding process, providing a straightforward way to tra..." +sidebarTitle: "VAEEncode" +icon: "circle" +--- + +This node is designed for encoding images into a latent space representation using a specified VAE model. It abstracts the complexity of the encoding process, providing a straightforward way to transform images into their latent representations. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `pixels` | `IMAGE` | The 'pixels' parameter represents the image data to be encoded into the latent space. It plays a crucial role in determining the output latent representation by serving as the direct input for the encoding process. | +| `vae` | VAE | The 'vae' parameter specifies the Variational Autoencoder model to be used for encoding the image data into latent space. It is essential for defining the encoding mechanism and characteristics of the generated latent representation. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The output is a latent space representation of the input image, encapsulating its essential features in a compressed form. | diff --git a/built-in-nodes/VAEEncodeAudio.mdx b/built-in-nodes/VAEEncodeAudio.mdx new file mode 100644 index 000000000..07f2d3d31 --- /dev/null +++ b/built-in-nodes/VAEEncodeAudio.mdx @@ -0,0 +1,24 @@ +--- +title: "VAEEncodeAudio - ComfyUI Built-in Node Documentation" +description: "The VAEEncodeAudio node converts audio data into a latent representation using a Variational Autoencoder (VAE). It takes audio input and processes it through the VAE to generate compressed latent s..." +sidebarTitle: "VAEEncodeAudio" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeAudio/en.md) + +The VAEEncodeAudio node converts audio data into a latent representation using a Variational Autoencoder (VAE). It takes audio input and processes it through the VAE to generate compressed latent samples that can be used for further audio generation or manipulation tasks. The node automatically resamples audio to 44100 Hz if needed before encoding. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | - | The audio data to encode, containing waveform and sample rate information | +| `vae` | VAE | Yes | - | The Variational Autoencoder model used to encode the audio into latent space | + +**Note:** The audio input is automatically resampled to 44100 Hz if the original sample rate differs from this value. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `LATENT` | LATENT | The encoded audio representation in latent space, containing compressed samples | diff --git a/built-in-nodes/VAEEncodeForInpaint.mdx b/built-in-nodes/VAEEncodeForInpaint.mdx new file mode 100644 index 000000000..c98457a4e --- /dev/null +++ b/built-in-nodes/VAEEncodeForInpaint.mdx @@ -0,0 +1,23 @@ +--- +title: "VAEEncodeForInpaint - ComfyUI Built-in Node Documentation" +description: "This node is designed for encoding images into a latent representation suitable for inpainting tasks, incorporating additional preprocessing steps to adjust the input image and mask for optimal enc..." +sidebarTitle: "VAEEncodeForInpaint" +icon: "circle" +--- + +This node is designed for encoding images into a latent representation suitable for inpainting tasks, incorporating additional preprocessing steps to adjust the input image and mask for optimal encoding by the VAE model. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `pixels` | `IMAGE` | The input image to be encoded. This image undergoes preprocessing and resizing to match the VAE model's expected input dimensions before encoding. | +| `vae` | VAE | The VAE model used for encoding the image into its latent representation. It plays a crucial role in the transformation process, determining the quality and characteristics of the output latent space. | +| `mask` | `MASK` | A mask indicating the regions of the input image to be inpainted. It is used to modify the image before encoding, ensuring that the VAE focuses on the relevant areas. | +| `grow_mask_by` | `INT` | Specifies how much to expand the inpainting mask to ensure seamless transitions in the latent space. A larger value increases the area affected by inpainting. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `latent` | `LATENT` | The output includes the encoded latent representation of the image and a noise mask, both crucial for subsequent inpainting tasks. | diff --git a/built-in-nodes/VAEEncodeTiled.mdx b/built-in-nodes/VAEEncodeTiled.mdx new file mode 100644 index 000000000..ba03570e0 --- /dev/null +++ b/built-in-nodes/VAEEncodeTiled.mdx @@ -0,0 +1,28 @@ +--- +title: "VAEEncodeTiled - ComfyUI Built-in Node Documentation" +description: "The VAEEncodeTiled node processes images by breaking them into smaller tiles and encoding them using a Variational Autoencoder. This tiled approach allows handling of large images that might otherw..." +sidebarTitle: "VAEEncodeTiled" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeTiled/en.md) + +The VAEEncodeTiled node processes images by breaking them into smaller tiles and encoding them using a Variational Autoencoder. This tiled approach allows handling of large images that might otherwise exceed memory limitations. The node supports both image and video VAEs, with separate tiling controls for spatial and temporal dimensions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `pixels` | IMAGE | Yes | - | The input image data to be encoded | +| `vae` | VAE | Yes | - | The Variational Autoencoder model used for encoding | +| `tile_size` | INT | Yes | 64-4096 (step: 64) | The size of each tile for spatial processing (default: 512) | +| `overlap` | INT | Yes | 0-4096 (step: 32) | The amount of overlap between adjacent tiles (default: 64) | +| `temporal_size` | INT | Yes | 8-4096 (step: 4) | Only used for video VAEs: Amount of frames to encode at a time (default: 64) | +| `temporal_overlap` | INT | Yes | 4-4096 (step: 4) | Only used for video VAEs: Amount of frames to overlap (default: 8) | + +**Note:** The `temporal_size` and `temporal_overlap` parameters are only relevant when using video VAEs and have no effect on standard image VAEs. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `LATENT` | LATENT | The encoded latent representation of the input image | diff --git a/built-in-nodes/VAELoader.mdx b/built-in-nodes/VAELoader.mdx new file mode 100644 index 000000000..2d01a460a --- /dev/null +++ b/built-in-nodes/VAELoader.mdx @@ -0,0 +1,21 @@ +--- +title: "VAELoader - ComfyUI Built-in Node Documentation" +description: "This node will detect models located in the `ComfyUI/models/vae` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to..." +sidebarTitle: "VAELoader" +icon: "circle" +--- +This node will detect models located in the `ComfyUI/models/vae` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to **refresh the ComfyUI interface** to allow it to read the model files from the corresponding folder. + +The VAELoader node is designed for loading Variational Autoencoder (VAE) models, specifically tailored to handle both standard and approximate VAEs. It supports loading VAEs by name, including specialized handling for 'taesd' and 'taesdxl' models, and dynamically adjusts based on the VAE's specific configuration. + +## Inputs + +| Field | Comfy dtype | Description | +|---------|-------------------|-----------------------------------------------------------------------------------------------| +| `vae_name` | `COMBO[STRING]` | Specifies the name of the VAE to be loaded, determining which VAE model is fetched and loaded, with support for a range of predefined VAE names including 'taesd' and 'taesdxl'. | + +## Outputs + +| Field | Data Type | Description | +|-------|-------------|--------------------------------------------------------------------------| +| `vae` | `VAE` | Returns the loaded VAE model, ready for further operations such as encoding or decoding. The output is a model object encapsulating the loaded model's state. | diff --git a/built-in-nodes/VAESave.mdx b/built-in-nodes/VAESave.mdx new file mode 100644 index 000000000..7532889f9 --- /dev/null +++ b/built-in-nodes/VAESave.mdx @@ -0,0 +1,19 @@ +--- +title: "VAESave - ComfyUI Built-in Node Documentation" +description: "The VAESave node is designed for saving VAE models along with their metadata, including prompts and additional PNG information, to a specified output directory. It encapsulates the functionality to..." +sidebarTitle: "VAESave" +icon: "circle" +--- + +The VAESave node is designed for saving VAE models along with their metadata, including prompts and additional PNG information, to a specified output directory. It encapsulates the functionality to serialize the model state and associated information into a file, facilitating the preservation and sharing of trained models. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `vae` | VAE | The VAE model to be saved. This parameter is crucial as it represents the model whose state is to be serialized and stored. | +| `filename_prefix` | STRING | A prefix for the filename under which the model and its metadata will be saved. This allows for organized storage and easy retrieval of models. | + +## Outputs + +The node doesn't have output types. diff --git a/built-in-nodes/VPScheduler.mdx b/built-in-nodes/VPScheduler.mdx new file mode 100644 index 000000000..19f02ed2d --- /dev/null +++ b/built-in-nodes/VPScheduler.mdx @@ -0,0 +1,23 @@ +--- +title: "VPScheduler - ComfyUI Built-in Node Documentation" +description: "The VPScheduler node is designed to generate a sequence of noise levels (sigmas) based on the Variance Preserving (VP) scheduling method. This sequence is crucial for guiding the denoising process ..." +sidebarTitle: "VPScheduler" +icon: "circle" +--- + +The VPScheduler node is designed to generate a sequence of noise levels (sigmas) based on the Variance Preserving (VP) scheduling method. This sequence is crucial for guiding the denoising process in diffusion models, allowing for controlled generation of images or other data types. + +## Inputs + +| Parameter | Data Type | Description | +|-------------|-------------|--------------------------------------------------------------------------------------------------------------------------------------------------| +| `steps` | INT | Specifies the number of steps in the diffusion process, affecting the granularity of the generated noise levels. | +| `beta_d` | FLOAT | Determines the overall noise level distribution, influencing the variance of the generated noise levels. | +| `beta_min` | FLOAT | Sets the minimum boundary for the noise level, ensuring the noise does not fall below a certain threshold. | +| `eps_s` | FLOAT | Adjusts the starting epsilon value, fine-tuning the initial noise level in the diffusion process. | + +## Outputs + +| Parameter | Data Type | Description | +|-------------|-------------|-----------------------------------------------------------------------------------------------| +| `sigmas` | SIGMAS | A sequence of noise levels (sigmas) generated based on the VP scheduling method, used to guide the denoising process in diffusion models. | diff --git a/built-in-nodes/Veo3FirstLastFrameNode.mdx b/built-in-nodes/Veo3FirstLastFrameNode.mdx new file mode 100644 index 000000000..11b316b75 --- /dev/null +++ b/built-in-nodes/Veo3FirstLastFrameNode.mdx @@ -0,0 +1,30 @@ +--- +title: "Veo3FirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "The Veo3FirstLastFrameNode uses Google's Veo 3 model to generate a video. It creates a video based on a text prompt, using a provided first and last frame to guide the start and end of the sequence." +sidebarTitle: "Veo3FirstLastFrameNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md) + +The Veo3FirstLastFrameNode uses Google's Veo 3 model to generate a video. It creates a video based on a text prompt, using a provided first and last frame to guide the start and end of the sequence. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text description of the video (default: empty string). | +| `negative_prompt` | STRING | No | N/A | Negative text prompt to guide what to avoid in the video (default: empty string). | +| `resolution` | COMBO | Yes | `"720p"`
`"1080p"` | The resolution of the output video. | +| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"` | Aspect ratio of the output video (default: "16:9"). | +| `duration` | INT | No | 4 to 8 | Duration of the output video in seconds (default: 8). | +| `seed` | INT | No | 0 to 4294967295 | Seed for video generation (default: 0). | +| `first_frame` | IMAGE | Yes | N/A | The start frame for the video. | +| `last_frame` | IMAGE | Yes | N/A | The end frame for the video. | +| `model` | COMBO | No | `"veo-3.1-generate"`
`"veo-3.1-fast-generate"` | The specific Veo 3 model to use for generation (default: "veo-3.1-fast-generate"). | +| `generate_audio` | BOOLEAN | No | N/A | Generate audio for the video (default: True). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | diff --git a/built-in-nodes/Veo3VideoGenerationNode.mdx b/built-in-nodes/Veo3VideoGenerationNode.mdx new file mode 100644 index 000000000..bc9a7483d --- /dev/null +++ b/built-in-nodes/Veo3VideoGenerationNode.mdx @@ -0,0 +1,32 @@ +--- +title: "Veo3VideoGenerationNode - ComfyUI Built-in Node Documentation" +description: "Generates videos from text prompts using Google's Veo 3 API. This node supports two Veo 3 models: veo-3.0-generate-001 and veo-3.0-fast-generate-001. It extends the base Veo node with Veo 3 specifi..." +sidebarTitle: "Veo3VideoGenerationNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md) + +Generates videos from text prompts using Google's Veo 3 API. This node supports two Veo 3 models: veo-3.0-generate-001 and veo-3.0-fast-generate-001. It extends the base Veo node with Veo 3 specific features including audio generation and a fixed 8-second duration. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Text description of the video (default: "") | +| `aspect_ratio` | COMBO | Yes | "16:9"
"9:16" | Aspect ratio of the output video (default: "16:9") | +| `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid in the video (default: "") | +| `duration_seconds` | INT | No | 8-8 | Duration of the output video in seconds (Veo 3 only supports 8 seconds) (default: 8) | +| `enhance_prompt` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True) | +| `person_generation` | COMBO | No | "ALLOW"
"BLOCK" | Whether to allow generating people in the video (default: "ALLOW") | +| `seed` | INT | No | 0-4294967295 | Seed for video generation (0 for random) (default: 0) | +| `image` | IMAGE | No | - | Optional reference image to guide video generation | +| `model` | COMBO | No | "veo-3.0-generate-001"
"veo-3.0-fast-generate-001" | Veo 3 model to use for video generation (default: "veo-3.0-generate-001") | +| `generate_audio` | BOOLEAN | No | - | Generate audio for the video. Supported by all Veo 3 models. (default: False) | + +**Note:** The `duration_seconds` parameter is fixed at 8 seconds for all Veo 3 models and cannot be changed. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file | diff --git a/built-in-nodes/VeoVideoGenerationNode.mdx b/built-in-nodes/VeoVideoGenerationNode.mdx new file mode 100644 index 000000000..3a9afccf0 --- /dev/null +++ b/built-in-nodes/VeoVideoGenerationNode.mdx @@ -0,0 +1,31 @@ +--- +title: "VeoVideoGenerationNode - ComfyUI Built-in Node Documentation" +description: "Generates videos from text prompts using Google's Veo API. This node can create videos from text descriptions and optional image inputs, with control over parameters like aspect ratio, duration, an..." +sidebarTitle: "VeoVideoGenerationNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md) + +Generates videos from text prompts using Google's Veo API. This node can create videos from text descriptions and optional image inputs, with control over parameters like aspect ratio, duration, and more. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | - | Text description of the video (default: empty) | +| `aspect_ratio` | COMBO | Yes | "16:9"
"9:16" | Aspect ratio of the output video (default: "16:9") | +| `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid in the video (default: empty) | +| `duration_seconds` | INT | No | 5-8 | Duration of the output video in seconds (default: 5) | +| `enhance_prompt` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True) | +| `person_generation` | COMBO | No | "ALLOW"
"BLOCK" | Whether to allow generating people in the video (default: "ALLOW") | +| `seed` | INT | No | 0-4294967295 | Seed for video generation (0 for random) (default: 0) | +| `image` | IMAGE | No | - | Optional reference image to guide video generation | +| `model` | COMBO | No | "veo-2.0-generate-001" | Veo 2 model to use for video generation (default: "veo-2.0-generate-001") | + +**Note:** The `generate_audio` parameter is only available for Veo 3.0 models and is automatically handled by the node based on the selected model. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file | diff --git a/built-in-nodes/Video Slice.mdx b/built-in-nodes/Video Slice.mdx new file mode 100644 index 000000000..9719951b6 --- /dev/null +++ b/built-in-nodes/Video Slice.mdx @@ -0,0 +1,24 @@ +--- +title: "Video Slice - ComfyUI Built-in Node Documentation" +description: "The Video Slice node allows you to extract a specific segment from a video. You can define a start time and a duration to trim the video, or simply skip the beginning frames. If the requested durat..." +sidebarTitle: "Video Slice" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Video%20Slice/en.md) + +The Video Slice node allows you to extract a specific segment from a video. You can define a start time and a duration to trim the video, or simply skip the beginning frames. If the requested duration is longer than the remaining video, the node can either return what's available or raise an error. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | - | The input video to be sliced. | +| `start_time` | FLOAT | No | -1e5 to 1e5 | The start time in seconds from which to begin the slice. A negative value will skip frames from the beginning of the video. (default: 0.0) | +| `duration` | FLOAT | No | 0.0 and above | The length of the slice in seconds. A value of 0.0 means the node will return all video from the start time to the end. (default: 0.0) | +| `strict_duration` | BOOLEAN | No | - | If set to True, the node will raise an error if the requested duration cannot be met (e.g., if the slice would go beyond the end of the video). If False, it will return the available video up to the end. (default: False) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The trimmed video segment. | diff --git a/built-in-nodes/VideoLinearCFGGuidance.mdx b/built-in-nodes/VideoLinearCFGGuidance.mdx new file mode 100644 index 000000000..b471ffd7d --- /dev/null +++ b/built-in-nodes/VideoLinearCFGGuidance.mdx @@ -0,0 +1,21 @@ +--- +title: "VideoLinearCFGGuidance - ComfyUI Built-in Node Documentation" +description: "The VideoLinearCFGGuidance node applies a linear conditioning guidance scale to a video model, adjusting the influence of conditioned and unconditioned components over a specified range. This enabl..." +sidebarTitle: "VideoLinearCFGGuidance" +icon: "circle" +--- + +The VideoLinearCFGGuidance node applies a linear conditioning guidance scale to a video model, adjusting the influence of conditioned and unconditioned components over a specified range. This enables dynamic control over the generation process, allowing for fine-tuning of the model's output based on the desired level of conditioning. + +## Inputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model` | MODEL | The model parameter represents the video model to which the linear CFG guidance will be applied. It is crucial for defining the base model that will be modified with the guidance scale. | +| `min_cfg` | `FLOAT` | The min_cfg parameter specifies the minimum conditioning guidance scale to be applied, serving as the starting point for the linear scale adjustment. It plays a key role in determining the lower bound of the guidance scale, influencing the model's output. | + +## Outputs + +| Parameter | Data Type | Description | +|-----------|-------------|-------------| +| `model` | MODEL | The output is a modified version of the input model, with the linear CFG guidance scale applied. This adjusted model is capable of generating outputs with varying degrees of conditioning, based on the specified guidance scale. | diff --git a/built-in-nodes/VideoTriangleCFGGuidance.mdx b/built-in-nodes/VideoTriangleCFGGuidance.mdx new file mode 100644 index 000000000..140eb9293 --- /dev/null +++ b/built-in-nodes/VideoTriangleCFGGuidance.mdx @@ -0,0 +1,22 @@ +--- +title: "VideoTriangleCFGGuidance - ComfyUI Built-in Node Documentation" +description: "The VideoTriangleCFGGuidance node applies a triangular classifier-free guidance scaling pattern to video models. It modifies the conditioning scale over time using a triangular wave function that o..." +sidebarTitle: "VideoTriangleCFGGuidance" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/en.md) + +The VideoTriangleCFGGuidance node applies a triangular classifier-free guidance scaling pattern to video models. It modifies the conditioning scale over time using a triangular wave function that oscillates between the minimum CFG value and the original conditioning scale. This creates a dynamic guidance pattern that can help improve video generation consistency and quality. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The video model to apply triangular CFG guidance to | +| `min_cfg` | FLOAT | Yes | 0.0 - 100.0 | The minimum CFG scale value for the triangular pattern (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with triangular CFG guidance applied | diff --git a/built-in-nodes/Vidu2ImageToVideoNode.mdx b/built-in-nodes/Vidu2ImageToVideoNode.mdx new file mode 100644 index 000000000..3ddbc6cc5 --- /dev/null +++ b/built-in-nodes/Vidu2ImageToVideoNode.mdx @@ -0,0 +1,33 @@ +--- +title: "Vidu2ImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "The Vidu2 Image-to-Video Generation node creates a video sequence starting from a single input image. It uses a specified Vidu2 model to animate the scene based on an optional text prompt, controll..." +sidebarTitle: "Vidu2ImageToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md) + +The Vidu2 Image-to-Video Generation node creates a video sequence starting from a single input image. It uses a specified Vidu2 model to animate the scene based on an optional text prompt, controlling the video's length, resolution, and the intensity of motion. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` | The Vidu2 model to use for video generation. Different models offer varying speed and quality trade-offs. | +| `image` | IMAGE | Yes | - | An image to be used as the start frame of the generated video. Only one image is allowed. | +| `prompt` | STRING | No | - | An optional text prompt for video generation (max 2000 characters). Default is an empty string. | +| `duration` | INT | Yes | 1 to 10 | The length of the generated video in seconds. Default is 5. | +| `seed` | INT | No | 0 to 2147483647 | A seed value for random number generation to ensure reproducible results. Default is 1. | +| `resolution` | COMBO | Yes | `"720p"`
`"1080p"` | The output resolution of the generated video. | +| `movement_amplitude` | COMBO | Yes | `"auto"`
`"small"`
`"medium"`
`"large"` | The movement amplitude of objects in the frame. | + +**Constraints:** + +* The `image` input must contain exactly one image. +* The input image's aspect ratio must be between 1:4 and 4:1. +* The `prompt` text is limited to a maximum of 2000 characters. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | diff --git a/built-in-nodes/Vidu2ReferenceVideoNode.mdx b/built-in-nodes/Vidu2ReferenceVideoNode.mdx new file mode 100644 index 000000000..8958a38ca --- /dev/null +++ b/built-in-nodes/Vidu2ReferenceVideoNode.mdx @@ -0,0 +1,37 @@ +--- +title: "Vidu2ReferenceVideoNode - ComfyUI Built-in Node Documentation" +description: "The Vidu2 Reference-to-Video Generation node creates a video from a text prompt and multiple reference images. You can define up to seven subjects, each with its own set of reference images, and re..." +sidebarTitle: "Vidu2ReferenceVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md) + +The Vidu2 Reference-to-Video Generation node creates a video from a text prompt and multiple reference images. You can define up to seven subjects, each with its own set of reference images, and reference them in the prompt using `@subject{subject_id}`. The node generates a video with configurable duration, aspect ratio, and movement. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"viduq2"` | The AI model to use for video generation. | +| `subjects` | AUTOGROW | Yes | N/A | For each subject, provide up to 3 reference images (7 images total across all subjects). Reference them in prompts via `@subject{subject_id}`. | +| `prompt` | STRING | Yes | N/A | The text description used to guide the video generation. When the `audio` parameter is enabled, the video will include generated speech and background music based on this prompt. | +| `audio` | BOOLEAN | No | N/A | When enabled, the video will contain generated speech and background music based on the prompt (default: `False`). | +| `duration` | INT | No | 1 to 10 | The length of the generated video in seconds (default: `5`). | +| `seed` | INT | No | 0 to 2147483647 | A number used to control the randomness of the generation for reproducible results (default: `1`). | +| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"4:3"`
`"3:4"`
`"1:1"` | The shape of the video frame. | +| `resolution` | COMBO | No | `"720p"`
`"1080p"` | The pixel resolution of the output video. | +| `movement_amplitude` | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | Controls the movement amplitude of objects in the frame. | + +**Constraints:** + +* The `prompt` must be between 1 and 2000 characters long. +* You can define multiple subjects, but the total number of reference images across all subjects must not exceed 7. +* Each individual subject can have a maximum of 3 reference images. +* Each reference image must have a width-to-height ratio between 1:4 and 4:1. +* Each reference image must be at least 128 pixels in both width and height. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | diff --git a/built-in-nodes/Vidu2StartEndToVideoNode.mdx b/built-in-nodes/Vidu2StartEndToVideoNode.mdx new file mode 100644 index 000000000..ec508b528 --- /dev/null +++ b/built-in-nodes/Vidu2StartEndToVideoNode.mdx @@ -0,0 +1,30 @@ +--- +title: "Vidu2StartEndToVideoNode - ComfyUI Built-in Node Documentation" +description: "This node generates a video by interpolating between a provided start frame and an end frame, guided by a text prompt. It uses a specified Vidu model to create a smooth transition between the two i..." +sidebarTitle: "Vidu2StartEndToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md) + +This node generates a video by interpolating between a provided start frame and an end frame, guided by a text prompt. It uses a specified Vidu model to create a smooth transition between the two images over a set duration. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` | The Vidu model to use for video generation. | +| `first_frame` | IMAGE | Yes | - | The starting image for the video sequence. Only a single image is allowed. | +| `end_frame` | IMAGE | Yes | - | The ending image for the video sequence. Only a single image is allowed. | +| `prompt` | STRING | Yes | - | A text description guiding the video generation (maximum 2000 characters). | +| `duration` | INT | No | 2 to 8 | The length of the generated video in seconds (default: 5). | +| `seed` | INT | No | 0 to 2147483647 | A number used to initialize the random generation for reproducible results (default: 1). | +| `resolution` | COMBO | No | `"720p"`
`"1080p"` | The output resolution of the generated video. | +| `movement_amplitude` | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | The movement amplitude of objects in the frame. | + +**Note:** The `first_frame` and `end_frame` images must have similar aspect ratios. The node will validate that their aspect ratios are within a relative range of 0.8 to 1.25. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | diff --git a/built-in-nodes/Vidu2TextToVideoNode.mdx b/built-in-nodes/Vidu2TextToVideoNode.mdx new file mode 100644 index 000000000..d6a3e46e3 --- /dev/null +++ b/built-in-nodes/Vidu2TextToVideoNode.mdx @@ -0,0 +1,27 @@ +--- +title: "Vidu2TextToVideoNode - ComfyUI Built-in Node Documentation" +description: "The Vidu2 Text-to-Video Generation node creates a video from a text description. It connects to an external API to generate video content based on your prompt, allowing you to control the video's l..." +sidebarTitle: "Vidu2TextToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md) + +The Vidu2 Text-to-Video Generation node creates a video from a text description. It connects to an external API to generate video content based on your prompt, allowing you to control the video's length, visual style, and format. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"viduq2"` | The AI model to use for video generation. Currently, only one model is available. | +| `prompt` | STRING | Yes | - | A textual description for video generation, with a maximum length of 2000 characters. | +| `duration` | INT | No | 1 to 10 | The length of the generated video in seconds. The value can be adjusted using a slider (default: 5). | +| `seed` | INT | No | 0 to 2147483647 | A number used to control the randomness of the generation, allowing for reproducible results. It can be controlled after generation (default: 1). | +| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | The proportional relationship between the video's width and height. | +| `resolution` | COMBO | No | `"720p"`
`"1080p"` | The pixel dimensions of the generated video. | +| `background_music` | BOOLEAN | No | - | Whether to add background music to the generated video (default: False). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | diff --git a/built-in-nodes/Vidu3ImageToVideoNode.mdx b/built-in-nodes/Vidu3ImageToVideoNode.mdx new file mode 100644 index 000000000..9ab41cfee --- /dev/null +++ b/built-in-nodes/Vidu3ImageToVideoNode.mdx @@ -0,0 +1,29 @@ +--- +title: "Vidu3ImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "The Vidu Q3 Image-to-Video Generation node creates a video sequence starting from an input image. It uses the Vidu Q3 Pro model to animate the image, optionally guided by a text prompt, and outputs..." +sidebarTitle: "Vidu3ImageToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md) + +The Vidu Q3 Image-to-Video Generation node creates a video sequence starting from an input image. It uses the Vidu Q3 Pro model to animate the image, optionally guided by a text prompt, and outputs a video file. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"viduq3-pro"` | Model to use for video generation. | +| `model.resolution` | COMBO | Yes | `"720p"`
`"1080p"`
`"2K"` | Resolution of the output video. | +| `model.duration` | INT | Yes | 1 to 16 | Duration of the output video in seconds (default: 5). | +| `model.audio` | BOOLEAN | Yes | `True` / `False` | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). | +| `image` | IMAGE | Yes | - | An image to be used as the start frame of the generated video. | +| `prompt` | STRING | No | - | An optional text prompt for video generation (max 2000 characters) (default: empty). | +| `seed` | INT | No | 0 to 2147483647 | A seed value for controlling the randomness of the generation (default: 1). | + +**Note:** The `image` must have an aspect ratio between 1:4 and 4:1 (portrait to landscape). The `prompt` is optional but cannot exceed 2000 characters. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | diff --git a/built-in-nodes/Vidu3StartEndToVideoNode.mdx b/built-in-nodes/Vidu3StartEndToVideoNode.mdx new file mode 100644 index 000000000..082dc6721 --- /dev/null +++ b/built-in-nodes/Vidu3StartEndToVideoNode.mdx @@ -0,0 +1,30 @@ +--- +title: "Vidu3StartEndToVideoNode - ComfyUI Built-in Node Documentation" +description: "This node generates a video by interpolating between a provided start frame and an end frame, guided by a text prompt. It uses the Vidu Q3 model to create a seamless transition between the two imag..." +sidebarTitle: "Vidu3StartEndToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md) + +This node generates a video by interpolating between a provided start frame and an end frame, guided by a text prompt. It uses the Vidu Q3 model to create a seamless transition between the two images, producing a video of a specified duration and resolution. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"viduq3-pro"`
`"viduq3-turbo"` | The model to use for video generation. Selecting an option reveals additional configuration parameters for `resolution`, `duration`, and `audio`. | +| `model.resolution` | COMBO | Yes | `"720p"`
`"1080p"` | Resolution of the output video. This parameter is revealed after selecting a `model`. | +| `model.duration` | INT | Yes | 1 to 16 | Duration of the output video in seconds (default: 5). This parameter is revealed after selecting a `model`. | +| `model.audio` | BOOLEAN | Yes | `True` / `False` | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). This parameter is revealed after selecting a `model`. | +| `first_frame` | IMAGE | Yes | - | The starting image for the video sequence. | +| `end_frame` | IMAGE | Yes | - | The ending image for the video sequence. | +| `prompt` | STRING | Yes | - | A text description guiding the video generation (maximum 2000 characters). | +| `seed` | INT | No | 0 to 2147483647 | A seed value for controlling the randomness of the generation (default: 1). | + +**Note:** The `first_frame` and `end_frame` images should have similar aspect ratios for optimal results. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The generated video file. | diff --git a/built-in-nodes/Vidu3TextToVideoNode.mdx b/built-in-nodes/Vidu3TextToVideoNode.mdx new file mode 100644 index 000000000..b13b4da79 --- /dev/null +++ b/built-in-nodes/Vidu3TextToVideoNode.mdx @@ -0,0 +1,29 @@ +--- +title: "Vidu3TextToVideoNode - ComfyUI Built-in Node Documentation" +description: "The Vidu Q3 Text-to-Video Generation node creates a video from a text description. It uses the Vidu Q3 Pro model to generate video content based on your prompt, allowing you to control the video's ..." +sidebarTitle: "Vidu3TextToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md) + +The Vidu Q3 Text-to-Video Generation node creates a video from a text description. It uses the Vidu Q3 Pro model to generate video content based on your prompt, allowing you to control the video's length, resolution, and aspect ratio. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"viduq3-pro"` | Model to use for video generation. Selecting this option reveals additional configuration parameters for aspect ratio, resolution, duration, and audio. | +| `model.aspect_ratio` | COMBO | Yes* | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | The aspect ratio of the output video. This parameter is revealed when the `model` is selected. | +| `model.resolution` | COMBO | Yes* | `"720p"`
`"1080p"` | Resolution of the output video. This parameter is revealed when the `model` is selected. | +| `model.duration` | INT | Yes* | 1 to 16 | Duration of the output video in seconds (default: 5). This parameter is revealed when the `model` is selected. | +| `model.audio` | BOOLEAN | Yes* | True/False | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). This parameter is revealed when the `model` is selected. | +| `prompt` | STRING | Yes | N/A | A textual description for video generation, with a maximum length of 2000 characters. | +| `seed` | INT | No | 0 to 2147483647 | A seed value for controlling the randomness of the generation (default: 1). | + +*Note: The parameters `aspect_ratio`, `resolution`, `duration`, and `audio` are required once the `model` is selected, as they are part of its configuration. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The generated video file. | diff --git a/built-in-nodes/ViduExtendVideoNode.mdx b/built-in-nodes/ViduExtendVideoNode.mdx new file mode 100644 index 000000000..9bac2bfc6 --- /dev/null +++ b/built-in-nodes/ViduExtendVideoNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ViduExtendVideoNode - ComfyUI Built-in Node Documentation" +description: "The ViduExtendVideoNode generates additional frames to extend the length of an existing video. It uses a specified AI model to create a seamless continuation based on the source video and an option..." +sidebarTitle: "ViduExtendVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md) + +The ViduExtendVideoNode generates additional frames to extend the length of an existing video. It uses a specified AI model to create a seamless continuation based on the source video and an optional text prompt. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"viduq2-pro"`
`"viduq2-turbo"` | The AI model to use for video extension. Selecting a model reveals its specific duration and resolution settings. | +| `model.duration` | INT | Yes | 1 to 7 | The duration of the extended video in seconds (default: 4). This setting appears after selecting a model. | +| `model.resolution` | COMBO | Yes | `"720p"`
`"1080p"` | The resolution of the output video. This setting appears after selecting a model. | +| `video` | VIDEO | Yes | - | The source video to extend. | +| `prompt` | STRING | No | - | An optional text prompt to guide the content of the extended video (max 2000 characters, default: empty). | +| `seed` | INT | No | 0 to 2147483647 | A seed value for controlling the randomness of the generation (default: 1). | +| `end_frame` | IMAGE | No | - | An optional image to use as the target end frame for the extension. If provided, its aspect ratio must be between 1:4 and 4:1, and its dimensions must be at least 128x128 pixels. | + +**Note:** The source `video` must have a duration between 4 and 55 seconds. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The newly generated video file containing the extended footage. | diff --git a/built-in-nodes/ViduImageToVideoNode.mdx b/built-in-nodes/ViduImageToVideoNode.mdx new file mode 100644 index 000000000..c65f511de --- /dev/null +++ b/built-in-nodes/ViduImageToVideoNode.mdx @@ -0,0 +1,32 @@ +--- +title: "ViduImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "The Vidu Image To Video Generation node creates videos from a starting image and an optional text description. It uses AI models to generate video content that extends from the provided image frame..." +sidebarTitle: "ViduImageToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md) + +The Vidu Image To Video Generation node creates videos from a starting image and an optional text description. It uses AI models to generate video content that extends from the provided image frame. The node sends the image and parameters to an external service and returns the generated video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `vidu_q1`
*Other VideoModelName options* | Model name (default: vidu_q1) | +| `image` | IMAGE | Yes | - | An image to be used as the start frame of the generated video | +| `prompt` | STRING | No | - | A textual description for video generation (default: empty) | +| `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5, fixed at 5 seconds) | +| `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) | +| `resolution` | COMBO | No | `r_1080p`
*Other Resolution options* | Supported values may vary by model & duration (default: r_1080p) | +| `movement_amplitude` | COMBO | No | `auto`
*Other MovementAmplitude options* | The movement amplitude of objects in the frame (default: auto) | + +**Constraints:** + +- Only one input image is allowed (cannot process multiple images) +- The input image must have an aspect ratio between 1:4 and 4:1 + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video output | diff --git a/built-in-nodes/ViduMultiFrameVideoNode.mdx b/built-in-nodes/ViduMultiFrameVideoNode.mdx new file mode 100644 index 000000000..97397fd78 --- /dev/null +++ b/built-in-nodes/ViduMultiFrameVideoNode.mdx @@ -0,0 +1,32 @@ +--- +title: "ViduMultiFrameVideoNode - ComfyUI Built-in Node Documentation" +description: "This node generates a video by creating transitions between multiple keyframes. It starts from an initial image and animates through a sequence of user-defined end images and prompts, producing a s..." +sidebarTitle: "ViduMultiFrameVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md) + +This node generates a video by creating transitions between multiple keyframes. It starts from an initial image and animates through a sequence of user-defined end images and prompts, producing a single video file as output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +| :--- | :--- | :--- | :--- | :--- | +| `model` | COMBO | Yes | `"viduq2-pro"`
`"viduq2-turbo"` | The Vidu model to use for video generation. | +| `start_image` | IMAGE | Yes | - | The starting frame image. Aspect ratio must be between 1:4 and 4:1. | +| `seed` | INT | No | 0 to 2147483647 | A seed value for random number generation to ensure reproducible results (default: 1). | +| `resolution` | COMBO | Yes | `"720p"`
`"1080p"` | The resolution of the output video. | +| `frames` | DYNAMICCOMBO | Yes | `"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` | Number of keyframe transitions (2-9). Selecting a value dynamically reveals the required inputs for each frame. | + +**Frame Inputs (Dynamically Revealed):** +When you select a value for `frames` (e.g., "3"), the node will show a corresponding set of required inputs for each transition. For each frame `i` from 1 to the selected number, you must provide: + +* `end_image{i}` (IMAGE): The target image for this transition. Aspect ratio must be between 1:4 and 4:1. +* `prompt{i}` (STRING): A text description guiding the transition to this frame (maximum 2000 characters). +* `duration{i}` (INT): The duration in seconds for this specific transition segment. + +## Outputs + +| Output Name | Data Type | Description | +| :--- | :--- | :--- | +| `output` | VIDEO | The generated video file containing all the animated transitions. | diff --git a/built-in-nodes/ViduReferenceVideoNode.mdx b/built-in-nodes/ViduReferenceVideoNode.mdx new file mode 100644 index 000000000..63bb4664a --- /dev/null +++ b/built-in-nodes/ViduReferenceVideoNode.mdx @@ -0,0 +1,36 @@ +--- +title: "ViduReferenceVideoNode - ComfyUI Built-in Node Documentation" +description: "The Vidu Reference Video Node generates videos from multiple reference images and a text prompt. It uses AI models to create consistent video content based on the provided images and description. T..." +sidebarTitle: "ViduReferenceVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md) + +The Vidu Reference Video Node generates videos from multiple reference images and a text prompt. It uses AI models to create consistent video content based on the provided images and description. The node supports various video settings including duration, aspect ratio, resolution, and movement control. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"vidu_q1"` | Model name for video generation (default: "vidu_q1") | +| `images` | IMAGE | Yes | - | Images to use as references to generate a video with consistent subjects (maximum 7 images) | +| `prompt` | STRING | Yes | - | A textual description for video generation | +| `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5) | +| `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) | +| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | The aspect ratio of the output video (default: "16:9") | +| `resolution` | COMBO | No | `"480p"`
`"720p"`
`"1080p"`
`"1440p"`
`"2160p"` | Supported values may vary by model & duration (default: "1080p") | +| `movement_amplitude` | COMBO | No | `"auto"`
`"low"`
`"medium"`
`"high"` | The movement amplitude of objects in the frame (default: "auto") | + +**Constraints and Limitations:** + +- The `prompt` field is required and cannot be empty +- Maximum of 7 images allowed for reference +- Each image must have an aspect ratio between 1:4 and 4:1 +- Each image must have minimum dimensions of 128x128 pixels +- Duration is fixed at 5 seconds + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video based on the reference images and prompt | diff --git a/built-in-nodes/ViduStartEndToVideoNode.mdx b/built-in-nodes/ViduStartEndToVideoNode.mdx new file mode 100644 index 000000000..4d73af2cb --- /dev/null +++ b/built-in-nodes/ViduStartEndToVideoNode.mdx @@ -0,0 +1,30 @@ +--- +title: "ViduStartEndToVideoNode - ComfyUI Built-in Node Documentation" +description: "The Vidu Start End To Video Generation node creates a video by generating frames between a starting frame and an ending frame. It uses a text prompt to guide the video generation process and suppor..." +sidebarTitle: "ViduStartEndToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md) + +The Vidu Start End To Video Generation node creates a video by generating frames between a starting frame and an ending frame. It uses a text prompt to guide the video generation process and supports various video models with different resolution and movement settings. The node validates that the start and end frames have compatible aspect ratios before processing. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"vidu_q1"`
[Other model values from VideoModelName enum] | Model name (default: "vidu_q1") | +| `first_frame` | IMAGE | Yes | - | Start frame | +| `end_frame` | IMAGE | Yes | - | End frame | +| `prompt` | STRING | No | - | A textual description for video generation | +| `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5, fixed at 5 seconds) | +| `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) | +| `resolution` | COMBO | No | `"1080p"`
[Other resolution values from Resolution enum] | Supported values may vary by model & duration (default: "1080p") | +| `movement_amplitude` | COMBO | No | `"auto"`
[Other movement amplitude values from MovementAmplitude enum] | The movement amplitude of objects in the frame (default: "auto") | + +**Note:** The start and end frames must have compatible aspect ratios (validated with min_rel=0.8, max_rel=1.25 ratio tolerance). + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file | diff --git a/built-in-nodes/ViduTextToVideoNode.mdx b/built-in-nodes/ViduTextToVideoNode.mdx new file mode 100644 index 000000000..2f0736918 --- /dev/null +++ b/built-in-nodes/ViduTextToVideoNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ViduTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "The Vidu Text To Video Generation node creates videos from text descriptions. It uses various video generation models to transform your text prompts into video content with customizable settings fo..." +sidebarTitle: "ViduTextToVideoNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md) + +The Vidu Text To Video Generation node creates videos from text descriptions. It uses various video generation models to transform your text prompts into video content with customizable settings for duration, aspect ratio, and visual style. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `vidu_q1`
*Other VideoModelName options* | Model name (default: vidu_q1) | +| `prompt` | STRING | Yes | - | A textual description for video generation | +| `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5) | +| `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) | +| `aspect_ratio` | COMBO | No | `r_16_9`
*Other AspectRatio options* | The aspect ratio of the output video (default: r_16_9) | +| `resolution` | COMBO | No | `r_1080p`
*Other Resolution options* | Supported values may vary by model & duration (default: r_1080p) | +| `movement_amplitude` | COMBO | No | `auto`
*Other MovementAmplitude options* | The movement amplitude of objects in the frame (default: auto) | + +**Note:** The `prompt` field is required and cannot be empty. The `duration` parameter is currently fixed at 5 seconds. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video based on the text prompt | diff --git a/built-in-nodes/VoxelToMesh.mdx b/built-in-nodes/VoxelToMesh.mdx new file mode 100644 index 000000000..233d355e5 --- /dev/null +++ b/built-in-nodes/VoxelToMesh.mdx @@ -0,0 +1,23 @@ +--- +title: "VoxelToMesh - ComfyUI Built-in Node Documentation" +description: "The VoxelToMesh node converts 3D voxel data into mesh geometry using different algorithms. It processes voxel grids and generates vertices and faces that form a 3D mesh representation. The node sup..." +sidebarTitle: "VoxelToMesh" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMesh/en.md) + +The VoxelToMesh node converts 3D voxel data into mesh geometry using different algorithms. It processes voxel grids and generates vertices and faces that form a 3D mesh representation. The node supports multiple conversion algorithms and allows adjusting the threshold value to control the surface extraction. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `voxel` | VOXEL | Yes | - | The input voxel data to convert to mesh geometry | +| `algorithm` | COMBO | Yes | "surface net"
"basic" | The algorithm used for mesh conversion from voxel data | +| `threshold` | FLOAT | Yes | -1.0 to 1.0 | The threshold value for surface extraction (default: 0.6) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MESH` | MESH | The generated 3D mesh containing vertices and faces | diff --git a/built-in-nodes/VoxelToMeshBasic.mdx b/built-in-nodes/VoxelToMeshBasic.mdx new file mode 100644 index 000000000..bff2b4822 --- /dev/null +++ b/built-in-nodes/VoxelToMeshBasic.mdx @@ -0,0 +1,22 @@ +--- +title: "VoxelToMeshBasic - ComfyUI Built-in Node Documentation" +description: "The VoxelToMeshBasic node converts 3D voxel data into mesh geometry. It processes voxel volumes by applying a threshold value to determine which parts of the volume become solid surfaces in the res..." +sidebarTitle: "VoxelToMeshBasic" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMeshBasic/en.md) + +The VoxelToMeshBasic node converts 3D voxel data into mesh geometry. It processes voxel volumes by applying a threshold value to determine which parts of the volume become solid surfaces in the resulting mesh. The node outputs a complete mesh structure with vertices and faces that can be used for 3D rendering and modeling. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `voxel` | VOXEL | Yes | - | The 3D voxel data to convert into a mesh | +| `threshold` | FLOAT | Yes | -1.0 to 1.0 | The threshold value used to determine which voxels become part of the mesh surface (default: 0.6) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MESH` | MESH | The generated 3D mesh containing vertices and faces | diff --git a/built-in-nodes/Wan22FunControlToVideo.mdx b/built-in-nodes/Wan22FunControlToVideo.mdx new file mode 100644 index 000000000..7bf86f1c4 --- /dev/null +++ b/built-in-nodes/Wan22FunControlToVideo.mdx @@ -0,0 +1,33 @@ +--- +title: "Wan22FunControlToVideo - ComfyUI Built-in Node Documentation" +description: "The Wan22FunControlToVideo node prepares conditioning and latent representations for video generation using the Wan video model architecture. It processes positive and negative conditioning inputs ..." +sidebarTitle: "Wan22FunControlToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22FunControlToVideo/en.md) + +The Wan22FunControlToVideo node prepares conditioning and latent representations for video generation using the Wan video model architecture. It processes positive and negative conditioning inputs along with optional reference images and control videos to create the necessary latent space representations for video synthesis. The node handles spatial scaling and temporal dimensions to generate appropriate conditioning data for video models. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning input for guiding the video generation | +| `negative` | CONDITIONING | Yes | - | Negative conditioning input for guiding the video generation | +| `vae` | VAE | Yes | - | VAE model used for encoding images to latent space | +| `width` | INT | No | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | +| `height` | INT | No | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | +| `length` | INT | No | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | +| `batch_size` | INT | No | 1 to 4096 | Number of video sequences to generate (default: 1) | +| `ref_image` | IMAGE | No | - | Optional reference image for providing visual guidance | +| `control_video` | IMAGE | No | - | Optional control video for guiding the generation process | + +**Note:** The `length` parameter is processed in chunks of 4 frames, and the node automatically handles temporal scaling for the latent space. When `ref_image` is provided, it influences the conditioning through reference latents. When `control_video` is provided, it directly affects the concat latent representation used in conditioning. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Modified positive conditioning with video-specific latent data | +| `negative` | CONDITIONING | Modified negative conditioning with video-specific latent data | +| `latent` | LATENT | Empty latent tensor with appropriate dimensions for video generation | diff --git a/built-in-nodes/Wan22ImageToVideoLatent.mdx b/built-in-nodes/Wan22ImageToVideoLatent.mdx new file mode 100644 index 000000000..caf4601f0 --- /dev/null +++ b/built-in-nodes/Wan22ImageToVideoLatent.mdx @@ -0,0 +1,29 @@ +--- +title: "Wan22ImageToVideoLatent - ComfyUI Built-in Node Documentation" +description: "The Wan22ImageToVideoLatent node creates video latent representations from images. It generates a blank video latent space with specified dimensions and can optionally encode a starting image seque..." +sidebarTitle: "Wan22ImageToVideoLatent" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/en.md) + +The Wan22ImageToVideoLatent node creates video latent representations from images. It generates a blank video latent space with specified dimensions and can optionally encode a starting image sequence into the beginning frames. When a start image is provided, it encodes the image into the latent space and creates a corresponding noise mask for the inpainted regions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `vae` | VAE | Yes | - | The VAE model used for encoding images into latent space | +| `width` | INT | No | 32 to MAX_RESOLUTION | The width of the output video in pixels (default: 1280, step: 32) | +| `height` | INT | No | 32 to MAX_RESOLUTION | The height of the output video in pixels (default: 704, step: 32) | +| `length` | INT | No | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 49, step: 4) | +| `batch_size` | INT | No | 1 to 4096 | The number of batches to generate (default: 1) | +| `start_image` | IMAGE | No | - | Optional starting image sequence to encode into the video latent | + +**Note:** When `start_image` is provided, the node encodes the image sequence into the beginning frames of the latent space and generates a corresponding noise mask. The width and height parameters must be divisible by 16 for proper latent space dimensions. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `samples` | LATENT | The generated video latent representation | +| `noise_mask` | LATENT | The noise mask indicating which regions should be denoised during generation | diff --git a/built-in-nodes/WanAnimateToVideo.mdx b/built-in-nodes/WanAnimateToVideo.mdx new file mode 100644 index 000000000..a164a2bfd --- /dev/null +++ b/built-in-nodes/WanAnimateToVideo.mdx @@ -0,0 +1,50 @@ +--- +title: "WanAnimateToVideo - ComfyUI Built-in Node Documentation" +description: "The WanAnimateToVideo node generates video content by combining multiple conditioning inputs including pose references, facial expressions, and background elements. It processes various video input..." +sidebarTitle: "WanAnimateToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanAnimateToVideo/en.md) + +The WanAnimateToVideo node generates video content by combining multiple conditioning inputs including pose references, facial expressions, and background elements. It processes various video inputs to create coherent animated sequences while maintaining temporal consistency across frames. The node handles latent space operations and can extend existing videos by continuing motion patterns. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning for guiding the generation towards desired content | +| `negative` | CONDITIONING | Yes | - | Negative conditioning for steering the generation away from unwanted content | +| `vae` | VAE | Yes | - | VAE model used for encoding and decoding image data | +| `width` | INT | No | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | +| `height` | INT | No | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | +| `length` | INT | No | 1 to MAX_RESOLUTION | Number of frames to generate (default: 77, step: 4) | +| `batch_size` | INT | No | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | +| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision model output for additional conditioning | +| `reference_image` | IMAGE | No | - | Reference image used as starting point for generation | +| `face_video` | IMAGE | No | - | Video input providing facial expression guidance | +| `pose_video` | IMAGE | No | - | Video input providing pose and motion guidance | +| `continue_motion_max_frames` | INT | No | 1 to MAX_RESOLUTION | Maximum number of frames to continue from previous motion (default: 5, step: 4) | +| `background_video` | IMAGE | No | - | Background video to composite with generated content | +| `character_mask` | MASK | No | - | Mask defining character regions for selective processing | +| `continue_motion` | IMAGE | No | - | Previous motion sequence to continue from for temporal consistency | +| `video_frame_offset` | INT | No | 0 to MAX_RESOLUTION | The amount of frames to seek in all the input videos. Used for generating longer videos by chunk. Connect to the video_frame_offset output of the previous node for extending a video. (default: 0, step: 1) | + +**Parameter Constraints:** + +- When `pose_video` is provided and `trim_to_pose_video` logic is active, the output length will be adjusted to match the pose video duration +- `face_video` is automatically resized to 512x512 resolution when processed +- `continue_motion` frames are limited by `continue_motion_max_frames` parameter +- Input videos (`face_video`, `pose_video`, `background_video`, `character_mask`) are offset by `video_frame_offset` before processing +- If `character_mask` contains only one frame, it will be repeated across all frames +- When `clip_vision_output` is provided, it's applied to both positive and negative conditioning + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Modified positive conditioning with additional video context | +| `negative` | CONDITIONING | Modified negative conditioning with additional video context | +| `latent` | LATENT | Generated video content in latent space format | +| `trim_latent` | INT | Latent space trimming information for downstream processing | +| `trim_image` | INT | Image space trimming information for reference motion frames | +| `video_frame_offset` | INT | Updated frame offset for continuing video generation in chunks | diff --git a/built-in-nodes/WanCameraEmbedding.mdx b/built-in-nodes/WanCameraEmbedding.mdx new file mode 100644 index 000000000..f6bbb79ae --- /dev/null +++ b/built-in-nodes/WanCameraEmbedding.mdx @@ -0,0 +1,32 @@ +--- +title: "WanCameraEmbedding - ComfyUI Built-in Node Documentation" +description: "The WanCameraEmbedding node generates camera trajectory embeddings using Plücker embeddings based on camera motion parameters. It creates a sequence of camera poses that simulate different camera m..." +sidebarTitle: "WanCameraEmbedding" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraEmbedding/en.md) + +The WanCameraEmbedding node generates camera trajectory embeddings using Plücker embeddings based on camera motion parameters. It creates a sequence of camera poses that simulate different camera movements and converts them into embedding tensors suitable for video generation pipelines. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `camera_pose` | COMBO | Yes | "Static"
"Pan Up"
"Pan Down"
"Pan Left"
"Pan Right"
"Zoom In"
"Zoom Out"
"Anti Clockwise (ACW)"
"ClockWise (CW)" | The type of camera movement to simulate (default: "Static") | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the output in pixels (default: 832, step: 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the output in pixels (default: 480, step: 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | The length of the camera trajectory sequence (default: 81, step: 4) | +| `speed` | FLOAT | No | 0.0 to 10.0 | The speed of the camera movement (default: 1.0, step: 0.1) | +| `fx` | FLOAT | No | 0.0 to 1.0 | The focal length x parameter (default: 0.5, step: 0.000000001) | +| `fy` | FLOAT | No | 0.0 to 1.0 | The focal length y parameter (default: 0.5, step: 0.000000001) | +| `cx` | FLOAT | No | 0.0 to 1.0 | The principal point x coordinate (default: 0.5, step: 0.01) | +| `cy` | FLOAT | No | 0.0 to 1.0 | The principal point y coordinate (default: 0.5, step: 0.01) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `camera_embedding` | TENSOR | The generated camera embedding tensor containing the trajectory sequence | +| `width` | INT | The width value that was used for processing | +| `height` | INT | The height value that was used for processing | +| `length` | INT | The length value that was used for processing | diff --git a/built-in-nodes/WanCameraImageToVideo.mdx b/built-in-nodes/WanCameraImageToVideo.mdx new file mode 100644 index 000000000..0d32adbb5 --- /dev/null +++ b/built-in-nodes/WanCameraImageToVideo.mdx @@ -0,0 +1,34 @@ +--- +title: "WanCameraImageToVideo - ComfyUI Built-in Node Documentation" +description: "The WanCameraImageToVideo node converts images to video sequences by generating latent representations for video generation. It processes conditioning inputs and optional starting images to create ..." +sidebarTitle: "WanCameraImageToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraImageToVideo/en.md) + +The WanCameraImageToVideo node converts images to video sequences by generating latent representations for video generation. It processes conditioning inputs and optional starting images to create video latents that can be used with video models. The node supports camera conditions and clip vision outputs for enhanced video generation control. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning prompts for video generation | +| `negative` | CONDITIONING | Yes | - | Negative conditioning prompts to avoid in video generation | +| `vae` | VAE | Yes | - | VAE model for encoding images to latent space | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | +| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision output for additional conditioning | +| `start_image` | IMAGE | No | - | Optional starting image to initialize the video sequence | +| `camera_conditions` | WAN_CAMERA_EMBEDDING | No | - | Optional camera embedding conditions for video generation | + +**Note:** When `start_image` is provided, the node uses it to initialize the video sequence and applies masking to blend the starting frames with generated content. The `camera_conditions` and `clip_vision_output` parameters are optional but when provided, they modify the conditioning for both positive and negative prompts. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Modified positive conditioning with applied camera conditions and clip vision outputs | +| `negative` | CONDITIONING | Modified negative conditioning with applied camera conditions and clip vision outputs | +| `latent` | LATENT | Generated video latent representation for use with video models | diff --git a/built-in-nodes/WanContextWindowsManual.mdx b/built-in-nodes/WanContextWindowsManual.mdx new file mode 100644 index 000000000..d82d63e4d --- /dev/null +++ b/built-in-nodes/WanContextWindowsManual.mdx @@ -0,0 +1,29 @@ +--- +title: "WanContextWindowsManual - ComfyUI Built-in Node Documentation" +description: "The WAN Context Windows (Manual) node allows you to manually configure context windows for WAN-like models with 2-dimensional processing. It applies custom context window settings during sampling b..." +sidebarTitle: "WanContextWindowsManual" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanContextWindowsManual/en.md) + +The WAN Context Windows (Manual) node allows you to manually configure context windows for WAN-like models with 2-dimensional processing. It applies custom context window settings during sampling by specifying the window length, overlap, scheduling method, and fusion technique. This gives you precise control over how the model processes information across different context regions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply context windows to during sampling. | +| `context_length` | INT | Yes | 1 to 1048576 | The length of the context window (default: 81). | +| `context_overlap` | INT | Yes | 0 to 1048576 | The overlap of the context window (default: 30). | +| `context_schedule` | COMBO | Yes | "static_standard"
"uniform_standard"
"uniform_looped"
"batched" | The stride of the context window. | +| `context_stride` | INT | Yes | 1 to 1048576 | The stride of the context window; only applicable to uniform schedules (default: 1). | +| `closed_loop` | BOOLEAN | Yes | - | Whether to close the context window loop; only applicable to looped schedules (default: False). | +| `fuse_method` | COMBO | Yes | "pyramid" | The method to use to fuse the context windows (default: "pyramid"). | + +**Note:** The `context_stride` parameter only affects uniform schedules, and `closed_loop` only applies to looped schedules. The context length and overlap values are automatically adjusted to ensure minimum valid values during processing. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The model with the applied context window configuration. | diff --git a/built-in-nodes/WanFirstLastFrameToVideo.mdx b/built-in-nodes/WanFirstLastFrameToVideo.mdx new file mode 100644 index 000000000..7a48acc4f --- /dev/null +++ b/built-in-nodes/WanFirstLastFrameToVideo.mdx @@ -0,0 +1,35 @@ +--- +title: "WanFirstLastFrameToVideo - ComfyUI Built-in Node Documentation" +description: "The WanFirstLastFrameToVideo node creates video conditioning by combining start and end frames with text prompts. It generates a latent representation for video generation by encoding the first and..." +sidebarTitle: "WanFirstLastFrameToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/en.md) + +The WanFirstLastFrameToVideo node creates video conditioning by combining start and end frames with text prompts. It generates a latent representation for video generation by encoding the first and last frames, applying masks to guide the generation process, and incorporating CLIP vision features when available. This node prepares both positive and negative conditioning for video models to generate coherent sequences between specified start and end points. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive text conditioning for guiding the video generation | +| `negative` | CONDITIONING | Yes | - | Negative text conditioning for guiding the video generation | +| `vae` | VAE | Yes | - | VAE model used for encoding images to latent space | +| `width` | INT | No | 16 to MAX_RESOLUTION | Output video width (default: 832, step: 16) | +| `height` | INT | No | 16 to MAX_RESOLUTION | Output video height (default: 480, step: 16) | +| `length` | INT | No | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | +| `batch_size` | INT | No | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | +| `clip_vision_start_image` | CLIP_VISION_OUTPUT | No | - | CLIP vision features extracted from the start image | +| `clip_vision_end_image` | CLIP_VISION_OUTPUT | No | - | CLIP vision features extracted from the end image | +| `start_image` | IMAGE | No | - | Starting frame image for the video sequence | +| `end_image` | IMAGE | No | - | Ending frame image for the video sequence | + +**Note:** When both `start_image` and `end_image` are provided, the node creates a video sequence that transitions between these two frames. The `clip_vision_start_image` and `clip_vision_end_image` parameters are optional but when provided, their CLIP vision features are concatenated and applied to both positive and negative conditioning. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Positive conditioning with applied video frame encoding and CLIP vision features | +| `negative` | CONDITIONING | Negative conditioning with applied video frame encoding and CLIP vision features | +| `latent` | LATENT | Empty latent tensor with dimensions matching the specified video parameters | diff --git a/built-in-nodes/WanFunControlToVideo.mdx b/built-in-nodes/WanFunControlToVideo.mdx new file mode 100644 index 000000000..c3746b8c8 --- /dev/null +++ b/built-in-nodes/WanFunControlToVideo.mdx @@ -0,0 +1,38 @@ +--- +title: "WanFunControlToVideo - ComfyUI Built-in Node Documentation" +description: "This node was added to support the Alibaba Wan Fun Control model for video generation, and was added after [this commit](https://github.com/comfyanonymous/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc..." +sidebarTitle: "WanFunControlToVideo" +icon: "circle" +--- +This node was added to support the Alibaba Wan Fun Control model for video generation, and was added after [this commit](https://github.com/comfyanonymous/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82). + +- **Purpose:** Prepare the conditioning information needed for video generation, using the Wan 2.1 Fun Control model. + +The WanFunControlToVideo node is a ComfyUI addition designed to support Wan Fun Control models for video generation, aimed at utilizing WanFun control for video creation. + +This node serves as a preparation point for essential conditioning information and initializes the center point of the latent space, guiding the subsequent video generation process using the Wan 2.1 Fun model. The node's name clearly indicates its function: it accepts various inputs and converts them into a format suitable for controlling video generation within the WanFun framework. + +The node's position in the ComfyUI node hierarchy indicates that it operates in the early stages of the video generation pipeline, focusing on manipulating conditioning signals before actual sampling or decoding of video frames. + +## Inputs + +| Parameter Name | Required | Data Type | Description | Default Value | +|:-------------------|:---------|:-------------------|:-------------------------------------------------------------|:-------------| +| positive | Yes | CONDITIONING | Standard ComfyUI positive conditioning data, typically from a "CLIP Text Encode" node. The positive prompt describes the content, subject matter, and artistic style that the user envisions for the generated video. | N/A | +| negative | Yes | CONDITIONING | Standard ComfyUI negative conditioning data, typically generated by a "CLIP Text Encode" node. The negative prompt specifies elements, styles, or artifacts that the user wants to avoid in the generated video. | N/A | +| vae | Yes | VAE | Requires a VAE (Variational Autoencoder) model compatible with the Wan 2.1 Fun model family, used for encoding and decoding image/video data. | N/A | +| width | Yes | INT | The desired width of output video frames in pixels, with a default value of 832, minimum value of 16, maximum value determined by nodes.MAX_RESOLUTION, and a step size of 16. | 832 | +| height | Yes | INT | The desired height of output video frames in pixels, with a default value of 480, minimum value of 16, maximum value determined by nodes.MAX_RESOLUTION, and a step size of 16. | 480 | +| length | Yes | INT | The total number of frames in the generated video, with a default value of 81, minimum value of 1, maximum value determined by nodes.MAX_RESOLUTION, and a step size of 4. | 81 | +| batch_size | Yes | INT | The number of videos generated in a single batch, with a default value of 1, minimum value of 1, and maximum value of 4096. | 1 | +| clip_vision_output | No | CLIP_VISION_OUTPUT | (Optional) Visual features extracted by a CLIP vision model, allowing for visual style and content guidance. | None | +| start_image | No | IMAGE | (Optional) An initial image that influences the beginning of the generated video. | None | +| control_video | No | IMAGE | (Optional) Allows users to provide a preprocessed ControlNet reference video that will guide the motion and potential structure of the generated video.| None | + +## Outputs + +| Parameter Name | Data Type | Description | +|:-------------------|:-------------------|:-------------------------------------------------------------| +| positive | CONDITIONING | Provides enhanced positive conditioning data, including encoded start_image and control_video. | +| negative | CONDITIONING | Provides negative conditioning data that has also been enhanced, containing the same concat_latent_image. | +| latent | LATENT | A dictionary containing an empty latent tensor with the key "samples". | diff --git a/built-in-nodes/WanFunInpaintToVideo.mdx b/built-in-nodes/WanFunInpaintToVideo.mdx new file mode 100644 index 000000000..356103d19 --- /dev/null +++ b/built-in-nodes/WanFunInpaintToVideo.mdx @@ -0,0 +1,32 @@ +--- +title: "WanFunInpaintToVideo - ComfyUI Built-in Node Documentation" +description: "The WanFunInpaintToVideo node creates video sequences by inpainting between start and end images. It takes positive and negative conditioning along with optional frame images to generate video late..." +sidebarTitle: "WanFunInpaintToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunInpaintToVideo/en.md) + +The WanFunInpaintToVideo node creates video sequences by inpainting between start and end images. It takes positive and negative conditioning along with optional frame images to generate video latents. The node handles video generation with configurable dimensions and length parameters. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning prompts for video generation | +| `negative` | CONDITIONING | Yes | - | Negative conditioning prompts to avoid in video generation | +| `vae` | VAE | Yes | - | VAE model for encoding/decoding operations | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate in a batch (default: 1) | +| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision output for additional conditioning | +| `start_image` | IMAGE | No | - | Optional starting frame image for video generation | +| `end_image` | IMAGE | No | - | Optional ending frame image for video generation | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Processed positive conditioning output | +| `negative` | CONDITIONING | Processed negative conditioning output | +| `latent` | LATENT | Generated video latent representation | diff --git a/built-in-nodes/WanHuMoImageToVideo.mdx b/built-in-nodes/WanHuMoImageToVideo.mdx new file mode 100644 index 000000000..194d93a36 --- /dev/null +++ b/built-in-nodes/WanHuMoImageToVideo.mdx @@ -0,0 +1,33 @@ +--- +title: "WanHuMoImageToVideo - ComfyUI Built-in Node Documentation" +description: "The WanHuMoImageToVideo node converts images to video sequences by generating latent representations for video frames. It processes conditioning inputs and can incorporate reference images and audi..." +sidebarTitle: "WanHuMoImageToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanHuMoImageToVideo/en.md) + +The WanHuMoImageToVideo node converts images to video sequences by generating latent representations for video frames. It processes conditioning inputs and can incorporate reference images and audio embeddings to influence the video generation. The node outputs modified conditioning data and latent representations suitable for video synthesis. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning input that guides the video generation toward desired content | +| `negative` | CONDITIONING | Yes | - | Negative conditioning input that steers the video generation away from unwanted content | +| `vae` | VAE | Yes | - | VAE model used for encoding reference images into latent space | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Width of the output video frames in pixels (default: 832, must be divisible by 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Height of the output video frames in pixels (default: 480, must be divisible by 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the generated video sequence (default: 97) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of video sequences to generate simultaneously (default: 1) | +| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio encoding data that can influence video generation based on audio content | +| `ref_image` | IMAGE | No | - | Optional reference image used to guide the video generation style and content | + +**Note:** When a reference image is provided, it gets encoded and added to both positive and negative conditioning. When audio encoder output is provided, it gets processed and incorporated into the conditioning data. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Modified positive conditioning with reference image and/or audio embeddings incorporated | +| `negative` | CONDITIONING | Modified negative conditioning with reference image and/or audio embeddings incorporated | +| `latent` | LATENT | Generated latent representation containing the video sequence data | diff --git a/built-in-nodes/WanImageToImageApi.mdx b/built-in-nodes/WanImageToImageApi.mdx new file mode 100644 index 000000000..a8bfb0ebc --- /dev/null +++ b/built-in-nodes/WanImageToImageApi.mdx @@ -0,0 +1,28 @@ +--- +title: "WanImageToImageApi - ComfyUI Built-in Node Documentation" +description: "The Wan Image to Image node generates an image from one or two input images and a text prompt. It transforms your input images based on the description you provide, creating a new image that mainta..." +sidebarTitle: "WanImageToImageApi" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToImageApi/en.md) + +The Wan Image to Image node generates an image from one or two input images and a text prompt. It transforms your input images based on the description you provide, creating a new image that maintains the aspect ratio of your original input. The output image is fixed at 1.6 megapixels regardless of the input size. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | "wan2.5-i2i-preview" | Model to use (default: "wan2.5-i2i-preview"). | +| `image` | IMAGE | Yes | - | Single-image editing or multi-image fusion, maximum 2 images. | +| `prompt` | STRING | Yes | - | Prompt used to describe the elements and visual features, supports English/Chinese (default: empty). | +| `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid (default: empty). | +| `seed` | INT | No | 0 to 2147483647 | Seed to use for generation (default: 0). | +| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the result (default: true). | + +**Note:** This node accepts exactly 1 or 2 input images. If you provide more than 2 images or no images at all, the node will return an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The generated image based on the input images and text prompts. | diff --git a/built-in-nodes/WanImageToVideo.mdx b/built-in-nodes/WanImageToVideo.mdx new file mode 100644 index 000000000..9449d1109 --- /dev/null +++ b/built-in-nodes/WanImageToVideo.mdx @@ -0,0 +1,33 @@ +--- +title: "WanImageToVideo - ComfyUI Built-in Node Documentation" +description: "The WanImageToVideo node prepares conditioning and latent representations for video generation tasks. It creates an empty latent space for video generation and can optionally incorporate starting i..." +sidebarTitle: "WanImageToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideo/en.md) + +The WanImageToVideo node prepares conditioning and latent representations for video generation tasks. It creates an empty latent space for video generation and can optionally incorporate starting images and CLIP vision outputs to guide the video generation process. The node modifies both positive and negative conditioning inputs based on the provided image and vision data. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning input for guiding the generation | +| `negative` | CONDITIONING | Yes | - | Negative conditioning input for guiding the generation | +| `vae` | VAE | Yes | - | VAE model for encoding images to latent space | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Width of the output video (default: 832, step: 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Height of the output video (default: 480, step: 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video (default: 81, step: 4) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate in a batch (default: 1) | +| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision output for additional conditioning | +| `start_image` | IMAGE | No | - | Optional starting image to initialize the video generation | + +**Note:** When `start_image` is provided, the node encodes the image sequence and applies masking to the conditioning inputs. The `clip_vision_output` parameter, when provided, adds vision-based conditioning to both positive and negative inputs. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Modified positive conditioning with image and vision data incorporated | +| `negative` | CONDITIONING | Modified negative conditioning with image and vision data incorporated | +| `latent` | LATENT | Empty latent space tensor ready for video generation | diff --git a/built-in-nodes/WanImageToVideoApi.mdx b/built-in-nodes/WanImageToVideoApi.mdx new file mode 100644 index 000000000..c15af436e --- /dev/null +++ b/built-in-nodes/WanImageToVideoApi.mdx @@ -0,0 +1,37 @@ +--- +title: "WanImageToVideoApi - ComfyUI Built-in Node Documentation" +description: "The Wan Image to Video node generates video content starting from a single input image and a text prompt. It creates video sequences by extending the initial frame according to the provided descrip..." +sidebarTitle: "WanImageToVideoApi" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md) + +The Wan Image to Video node generates video content starting from a single input image and a text prompt. It creates video sequences by extending the initial frame according to the provided description, with options to control video quality, duration, and audio integration. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | "wan2.5-i2v-preview"
"wan2.5-i2v-preview" | Model to use (default: "wan2.5-i2v-preview") | +| `image` | IMAGE | Yes | - | Input image that serves as the first frame for video generation | +| `prompt` | STRING | Yes | - | Prompt used to describe the elements and visual features, supports English/Chinese (default: empty) | +| `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid (default: empty) | +| `resolution` | COMBO | No | "480P"
"720P"
"1080P" | Video resolution quality (default: "480P") | +| `duration` | INT | No | 5-10 | Available durations: 5 and 10 seconds (default: 5) | +| `audio` | AUDIO | No | - | Audio must contain a clear, loud voice, without extraneous noise, background music | +| `seed` | INT | No | 0-2147483647 | Seed to use for generation (default: 0) | +| `generate_audio` | BOOLEAN | No | - | If there is no audio input, generate audio automatically (default: False) | +| `prompt_extend` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True) | +| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the result (default: True) | + +**Constraints:** + +- Exactly one input image is required for video generation +- Duration parameter only accepts values of 5 or 10 seconds +- When audio is provided, it must be between 3.0 and 29.0 seconds in duration + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | Generated video based on the input image and prompt | diff --git a/built-in-nodes/WanInfiniteTalkToVideo.mdx b/built-in-nodes/WanInfiniteTalkToVideo.mdx new file mode 100644 index 000000000..9b0f00a83 --- /dev/null +++ b/built-in-nodes/WanInfiniteTalkToVideo.mdx @@ -0,0 +1,49 @@ +--- +title: "WanInfiniteTalkToVideo - ComfyUI Built-in Node Documentation" +description: "The WanInfiniteTalkToVideo node generates video sequences from audio input. It uses a video diffusion model, conditioned on audio features extracted from one or two speakers, to produce a latent re..." +sidebarTitle: "WanInfiniteTalkToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/en.md) + +The WanInfiniteTalkToVideo node generates video sequences from audio input. It uses a video diffusion model, conditioned on audio features extracted from one or two speakers, to produce a latent representation of a talking head video. The node can generate a new sequence or extend an existing one using previous frames for motion context. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `mode` | COMBO | Yes | `"single_speaker"`
`"two_speakers"` | The audio input mode. `"single_speaker"` uses one audio input. `"two_speakers"` enables inputs for a second speaker and corresponding masks. | +| `model` | MODEL | Yes | - | The base video diffusion model. | +| `model_patch` | MODELPATCH | Yes | - | The model patch containing audio projection layers. | +| `positive` | CONDITIONING | Yes | - | The positive conditioning to guide the generation. | +| `negative` | CONDITIONING | Yes | - | The negative conditioning to guide the generation. | +| `vae` | VAE | Yes | - | The VAE used for encoding images to and from the latent space. | +| `width` | INT | No | 16 - MAX_RESOLUTION | The width of the output video in pixels. Must be divisible by 16. (default: 832) | +| `height` | INT | No | 16 - MAX_RESOLUTION | The height of the output video in pixels. Must be divisible by 16. (default: 480) | +| `length` | INT | No | 1 - MAX_RESOLUTION | The number of frames to generate. (default: 81) | +| `clip_vision_output` | CLIPVISIONOUTPUT | No | - | Optional CLIP vision output for additional conditioning. | +| `start_image` | IMAGE | No | - | An optional starting image to initialize the video sequence. | +| `audio_encoder_output_1` | AUDIOENCODEROUTPUT | Yes | - | The primary audio encoder output containing features for the first speaker. | +| `motion_frame_count` | INT | No | 1 - 33 | Number of previous frames to use as motion context when extending a sequence. (default: 9) | +| `audio_scale` | FLOAT | No | -10.0 - 10.0 | A scaling factor applied to the audio conditioning. (default: 1.0) | +| `previous_frames` | IMAGE | No | - | Optional previous video frames to extend from. | +| `audio_encoder_output_2` | AUDIOENCODEROUTPUT | No | - | The second audio encoder output. Required when `mode` is set to `"two_speakers"`. | +| `mask_1` | MASK | No | - | Mask for the first speaker, required if using two audio inputs. | +| `mask_2` | MASK | No | - | Mask for the second speaker, required if using two audio inputs. | + +**Parameter Constraints:** + +* When `mode` is set to `"two_speakers"`, the parameters `audio_encoder_output_2`, `mask_1`, and `mask_2` become required. +* If `audio_encoder_output_2` is provided, both `mask_1` and `mask_2` must also be provided. +* If `mask_1` and `mask_2` are provided, `audio_encoder_output_2` must also be provided. +* If `previous_frames` is provided, it must contain at least as many frames as specified by `motion_frame_count`. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The patched model with audio conditioning applied. | +| `positive` | CONDITIONING | The positive conditioning, potentially modified with additional context (e.g., start image, CLIP vision). | +| `negative` | CONDITIONING | The negative conditioning, potentially modified with additional context. | +| `latent` | LATENT | The generated video sequence in latent space. | +| `trim_image` | INT | The number of frames from the start of the motion context that should be trimmed when extending a sequence. | diff --git a/built-in-nodes/WanMoveConcatTrack.mdx b/built-in-nodes/WanMoveConcatTrack.mdx new file mode 100644 index 000000000..07bedabbe --- /dev/null +++ b/built-in-nodes/WanMoveConcatTrack.mdx @@ -0,0 +1,22 @@ +--- +title: "WanMoveConcatTrack - ComfyUI Built-in Node Documentation" +description: "The WanMoveConcatTrack node combines two sets of motion tracking data into a single, longer sequence. It works by joining the track paths and visibility masks from the input tracks along their resp..." +sidebarTitle: "WanMoveConcatTrack" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveConcatTrack/en.md) + +The WanMoveConcatTrack node combines two sets of motion tracking data into a single, longer sequence. It works by joining the track paths and visibility masks from the input tracks along their respective dimensions. If only one track input is provided, it simply passes that data through unchanged. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `tracks_1` | TRACKS | Yes | | The first set of motion tracking data to be concatenated. | +| `tracks_2` | TRACKS | No | | An optional second set of motion tracking data. If not provided, `tracks_1` is passed directly to the output. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `tracks` | TRACKS | The concatenated motion tracking data, containing the combined `track_path` and `track_visibility` from the inputs. | diff --git a/built-in-nodes/WanMoveTrackToVideo.mdx b/built-in-nodes/WanMoveTrackToVideo.mdx new file mode 100644 index 000000000..b0b40a005 --- /dev/null +++ b/built-in-nodes/WanMoveTrackToVideo.mdx @@ -0,0 +1,35 @@ +--- +title: "WanMoveTrackToVideo - ComfyUI Built-in Node Documentation" +description: "The WanMoveTrackToVideo node prepares conditioning and latent space data for video generation, incorporating optional motion tracking information. It encodes a starting image sequence into a latent..." +sidebarTitle: "WanMoveTrackToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTrackToVideo/en.md) + +The WanMoveTrackToVideo node prepares conditioning and latent space data for video generation, incorporating optional motion tracking information. It encodes a starting image sequence into a latent representation and can blend in positional data from object tracks to guide the motion in the generated video. The node outputs modified positive and negative conditioning along with an empty latent tensor ready for a video model. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The positive conditioning input to be modified. | +| `negative` | CONDITIONING | Yes | - | The negative conditioning input to be modified. | +| `vae` | VAE | Yes | - | The VAE model used to encode the starting image into the latent space. | +| `tracks` | TRACKS | No | - | Optional motion tracking data containing object paths. | +| `strength` | FLOAT | No | 0.0 - 100.0 | Strength of the track conditioning. (default: 1.0) | +| `width` | INT | No | 16 - MAX_RESOLUTION | The width of the output video. Must be divisible by 16. (default: 832) | +| `height` | INT | No | 16 - MAX_RESOLUTION | The height of the output video. Must be divisible by 16. (default: 480) | +| `length` | INT | No | 1 - MAX_RESOLUTION | The number of frames in the video sequence. (default: 81) | +| `batch_size` | INT | No | 1 - 4096 | The batch size for the latent output. (default: 1) | +| `start_image` | IMAGE | Yes | - | The starting image or image sequence to encode. | +| `clip_vision_output` | CLIPVISIONOUTPUT | No | - | Optional CLIP vision model output to add to the conditioning. | + +**Note:** The `strength` parameter only has an effect when `tracks` are provided. If `tracks` are not provided or `strength` is 0.0, the track conditioning is not applied. The `start_image` is used to create a latent image and mask for the conditioning; if it is not provided, the node only passes through the conditioning and outputs an empty latent. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The modified positive conditioning, potentially containing `concat_latent_image`, `concat_mask`, and `clip_vision_output`. | +| `negative` | CONDITIONING | The modified negative conditioning, potentially containing `concat_latent_image`, `concat_mask`, and `clip_vision_output`. | +| `latent` | LATENT | An empty latent tensor with dimensions shaped by the `batch_size`, `length`, `height`, and `width` inputs. | diff --git a/built-in-nodes/WanMoveTracksFromCoords.mdx b/built-in-nodes/WanMoveTracksFromCoords.mdx new file mode 100644 index 000000000..efd6ca60f --- /dev/null +++ b/built-in-nodes/WanMoveTracksFromCoords.mdx @@ -0,0 +1,25 @@ +--- +title: "WanMoveTracksFromCoords - ComfyUI Built-in Node Documentation" +description: "The WanMoveTracksFromCoords node creates a set of motion tracks from a list of coordinate points. It converts a JSON-formatted string of coordinates into a tensor format that can be used by other v..." +sidebarTitle: "WanMoveTracksFromCoords" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/en.md) + +The WanMoveTracksFromCoords node creates a set of motion tracks from a list of coordinate points. It converts a JSON-formatted string of coordinates into a tensor format that can be used by other video processing nodes, and can optionally apply a mask to control the visibility of tracks over time. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `track_coords` | STRING | Yes | N/A | A JSON-formatted string containing the coordinate data for the tracks. The default value is an empty list (`"[]"`). | +| `track_mask` | MASK | No | N/A | An optional mask. When provided, the node uses it to determine the visibility of each track per frame. | + +**Note:** The `track_coords` input expects a specific JSON structure. It should be a list of tracks, where each track is a list of frames, and each frame is an object with `x` and `y` coordinates. The number of frames must be consistent across all tracks. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `tracks` | TRACKS | The generated track data, containing the path coordinates and visibility information for each track. | +| `track_length` | INT | The total number of frames in the generated tracks. | diff --git a/built-in-nodes/WanMoveVisualizeTracks.mdx b/built-in-nodes/WanMoveVisualizeTracks.mdx new file mode 100644 index 000000000..23c581a5d --- /dev/null +++ b/built-in-nodes/WanMoveVisualizeTracks.mdx @@ -0,0 +1,28 @@ +--- +title: "WanMoveVisualizeTracks - ComfyUI Built-in Node Documentation" +description: "The WanMoveVisualizeTracks node overlays motion tracking data onto a sequence of images or video frames. It draws visual representations of tracked points, including their movement paths and curren..." +sidebarTitle: "WanMoveVisualizeTracks" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/en.md) + +The WanMoveVisualizeTracks node overlays motion tracking data onto a sequence of images or video frames. It draws visual representations of tracked points, including their movement paths and current positions, making the motion data visible and easier to analyze. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | - | The sequence of input images or video frames to visualize the tracks on. | +| `tracks` | TRACKS | No | - | The motion tracking data containing point paths and visibility information. If not provided, the input images are passed through unchanged. | +| `line_resolution` | INT | Yes | 1 - 1024 | The number of previous frames to use when drawing the trailing path line for each track (default: 24). | +| `circle_size` | INT | Yes | 1 - 128 | The size of the circle drawn at the current position of each track (default: 12). | +| `opacity` | FLOAT | Yes | 0.0 - 1.0 | The opacity of the drawn track overlays (default: 0.75). | +| `line_width` | INT | Yes | 1 - 128 | The width of the lines used to draw the track paths (default: 16). | + +**Note:** If the number of input images does not match the number of frames in the provided `tracks` data, the image sequence will be repeated to match the track length. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The sequence of images with the motion tracking data visualized as overlays. If no `tracks` were provided, the original input images are returned. | diff --git a/built-in-nodes/WanPhantomSubjectToVideo.mdx b/built-in-nodes/WanPhantomSubjectToVideo.mdx new file mode 100644 index 000000000..6e4a6b13f --- /dev/null +++ b/built-in-nodes/WanPhantomSubjectToVideo.mdx @@ -0,0 +1,33 @@ +--- +title: "WanPhantomSubjectToVideo - ComfyUI Built-in Node Documentation" +description: "The WanPhantomSubjectToVideo node generates video content by processing conditioning inputs and optional reference images. It creates latent representations for video generation and can incorporate..." +sidebarTitle: "WanPhantomSubjectToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/en.md) + +The WanPhantomSubjectToVideo node generates video content by processing conditioning inputs and optional reference images. It creates latent representations for video generation and can incorporate visual guidance from input images when provided. The node prepares conditioning data with time-dimensional concatenation for video models and outputs modified conditioning along with generated latent video data. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning input for guiding video generation | +| `negative` | CONDITIONING | Yes | - | Negative conditioning input to avoid certain characteristics | +| `vae` | VAE | Yes | - | VAE model for encoding images when provided | +| `width` | INT | No | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, must be divisible by 16) | +| `height` | INT | No | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, must be divisible by 16) | +| `length` | INT | No | 1 to MAX_RESOLUTION | Number of frames in the generated video (default: 81, must be divisible by 4) | +| `batch_size` | INT | No | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | +| `images` | IMAGE | No | - | Optional reference images for time-dimensional conditioning | + +**Note:** When `images` are provided, they are automatically upscaled to match the specified `width` and `height`, and only the first `length` frames are used for processing. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Modified positive conditioning with time-dimensional concatenation when images are provided | +| `negative_text` | CONDITIONING | Modified negative conditioning with time-dimensional concatenation when images are provided | +| `negative_img_text` | CONDITIONING | Negative conditioning with zeroed time-dimensional concatenation when images are provided | +| `latent` | LATENT | Generated latent video representation with specified dimensions and length | diff --git a/built-in-nodes/WanReferenceVideoApi.mdx b/built-in-nodes/WanReferenceVideoApi.mdx new file mode 100644 index 000000000..bc80ae498 --- /dev/null +++ b/built-in-nodes/WanReferenceVideoApi.mdx @@ -0,0 +1,34 @@ +--- +title: "WanReferenceVideoApi - ComfyUI Built-in Node Documentation" +description: "The Wan Reference to Video node uses the visual appearance and voice from one or more input reference videos, along with a text prompt, to generate a new video. It maintains consistency with the ch..." +sidebarTitle: "WanReferenceVideoApi" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md) + +The Wan Reference to Video node uses the visual appearance and voice from one or more input reference videos, along with a text prompt, to generate a new video. It maintains consistency with the characters from the reference material while creating new content based on your description. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"wan2.6-r2v"` | The specific AI model to use for video generation. | +| `prompt` | STRING | Yes | - | A description of the elements and visual features for the new video. Supports English and Chinese. Use identifiers like `character1` and `character2` to refer to the characters from the reference videos. | +| `negative_prompt` | STRING | No | - | A description of elements or features to avoid in the generated video. | +| `reference_videos` | AUTOGROW | Yes | - | A list of video inputs used as references for character appearance and voice. You must provide at least one video. Each video can be assigned a name like `character1`, `character2`, or `character3`. | +| `size` | COMBO | Yes | `"720p: 1:1 (960x960)"`
`"720p: 16:9 (1280x720)"`
`"720p: 9:16 (720x1280)"`
`"720p: 4:3 (1088x832)"`
`"720p: 3:4 (832x1088)"`
`"1080p: 1:1 (1440x1440)"`
`"1080p: 16:9 (1920x1080)"`
`"1080p: 9:16 (1080x1920)"`
`"1080p: 4:3 (1632x1248)"`
`"1080p: 3:4 (1248x1632)"` | The resolution and aspect ratio for the output video. | +| `duration` | INT | Yes | 5 to 10 | The length of the generated video in seconds. The value must be a multiple of 5 (default: 5). | +| `seed` | INT | No | 0 to 2147483647 | A random seed value for reproducible results. A value of 0 will generate a random seed. | +| `shot_type` | COMBO | Yes | `"single"`
`"multi"` | Specifies whether the generated video is a single continuous shot or contains multiple shots with cuts. | +| `watermark` | BOOLEAN | No | - | When enabled, an AI-generated watermark is added to the final video (default: False). | + +**Constraints:** + +* Each video provided in `reference_videos` must be between 2 and 30 seconds in duration. +* The `duration` parameter is limited to specific values (5 or 10 seconds). + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The newly generated video file. | diff --git a/built-in-nodes/WanSoundImageToVideo.mdx b/built-in-nodes/WanSoundImageToVideo.mdx new file mode 100644 index 000000000..ebdab0f0f --- /dev/null +++ b/built-in-nodes/WanSoundImageToVideo.mdx @@ -0,0 +1,33 @@ +--- +title: "WanSoundImageToVideo - ComfyUI Built-in Node Documentation" +description: "The WanSoundImageToVideo node generates video content from images with optional audio conditioning. It takes positive and negative conditioning prompts along with a VAE model to create video latent..." +sidebarTitle: "WanSoundImageToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideo/en.md) + +The WanSoundImageToVideo node generates video content from images with optional audio conditioning. It takes positive and negative conditioning prompts along with a VAE model to create video latents, and can incorporate reference images, audio encoding, control videos, and motion references to guide the video generation process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning prompts that guide what content should appear in the generated video | +| `negative` | CONDITIONING | Yes | - | Negative conditioning prompts that specify what content should be avoided in the generated video | +| `vae` | VAE | Yes | - | VAE model used for encoding and decoding the video latent representations | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Width of the output video in pixels (default: 832, must be divisible by 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Height of the output video in pixels (default: 480, must be divisible by 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the generated video (default: 77, must be divisible by 4) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | +| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio encoding that can influence the video generation based on sound characteristics | +| `ref_image` | IMAGE | No | - | Optional reference image that provides visual guidance for the video content | +| `control_video` | IMAGE | No | - | Optional control video that guides the motion and structure of the generated video | +| `ref_motion` | IMAGE | No | - | Optional motion reference that provides guidance for movement patterns in the video | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Processed positive conditioning that has been modified for video generation | +| `negative` | CONDITIONING | Processed negative conditioning that has been modified for video generation | +| `latent` | LATENT | Generated video representation in latent space that can be decoded into final video frames | diff --git a/built-in-nodes/WanSoundImageToVideoExtend.mdx b/built-in-nodes/WanSoundImageToVideoExtend.mdx new file mode 100644 index 000000000..161f9d900 --- /dev/null +++ b/built-in-nodes/WanSoundImageToVideoExtend.mdx @@ -0,0 +1,30 @@ +--- +title: "WanSoundImageToVideoExtend - ComfyUI Built-in Node Documentation" +description: "The WanSoundImageToVideoExtend node extends image-to-video generation by incorporating audio conditioning and reference images. It takes positive and negative conditioning along with video latent d..." +sidebarTitle: "WanSoundImageToVideoExtend" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/en.md) + +The WanSoundImageToVideoExtend node extends image-to-video generation by incorporating audio conditioning and reference images. It takes positive and negative conditioning along with video latent data and optional audio embeddings to generate extended video sequences. The node processes these inputs to create coherent video outputs that can be synchronized with audio cues. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning prompts that guide what the video should include | +| `negative` | CONDITIONING | Yes | - | Negative conditioning prompts that specify what the video should avoid | +| `vae` | VAE | Yes | - | Variational Autoencoder used for encoding and decoding video frames | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames to generate for the video sequence (default: 77, step: 4) | +| `video_latent` | LATENT | Yes | - | Initial video latent representation that serves as the starting point for extension | +| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio embeddings that can influence video generation based on sound characteristics | +| `ref_image` | IMAGE | No | - | Optional reference image that provides visual guidance for the video generation | +| `control_video` | IMAGE | No | - | Optional control video that can guide the motion and style of the generated video | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Processed positive conditioning with video context applied | +| `negative` | CONDITIONING | Processed negative conditioning with video context applied | +| `latent` | LATENT | Generated video latent representation containing the extended video sequence | diff --git a/built-in-nodes/WanTextToImageApi.mdx b/built-in-nodes/WanTextToImageApi.mdx new file mode 100644 index 000000000..f01f2a1dc --- /dev/null +++ b/built-in-nodes/WanTextToImageApi.mdx @@ -0,0 +1,28 @@ +--- +title: "WanTextToImageApi - ComfyUI Built-in Node Documentation" +description: "The Wan Text to Image node generates images based on text descriptions. It uses AI models to create visual content from written prompts, supporting both English and Chinese text input. The node pro..." +sidebarTitle: "WanTextToImageApi" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToImageApi/en.md) + +The Wan Text to Image node generates images based on text descriptions. It uses AI models to create visual content from written prompts, supporting both English and Chinese text input. The node provides various controls to adjust the output image size, quality, and style preferences. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | "wan2.5-t2i-preview" | Model to use (default: "wan2.5-t2i-preview") | +| `prompt` | STRING | Yes | - | Prompt used to describe the elements and visual features, supports English/Chinese (default: empty) | +| `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid (default: empty) | +| `width` | INT | No | 768-1440 | Image width in pixels (default: 1024, step: 32) | +| `height` | INT | No | 768-1440 | Image height in pixels (default: 1024, step: 32) | +| `seed` | INT | No | 0-2147483647 | Seed to use for generation (default: 0) | +| `prompt_extend` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True) | +| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the result (default: True) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | The generated image based on the text prompt | diff --git a/built-in-nodes/WanTextToVideoApi.mdx b/built-in-nodes/WanTextToVideoApi.mdx new file mode 100644 index 000000000..c2e9e041b --- /dev/null +++ b/built-in-nodes/WanTextToVideoApi.mdx @@ -0,0 +1,32 @@ +--- +title: "WanTextToVideoApi - ComfyUI Built-in Node Documentation" +description: "The Wan Text to Video node generates video content based on text descriptions. It uses AI models to create videos from prompts and supports various video sizes, durations, and optional audio inputs..." +sidebarTitle: "WanTextToVideoApi" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md) + +The Wan Text to Video node generates video content based on text descriptions. It uses AI models to create videos from prompts and supports various video sizes, durations, and optional audio inputs. The node can automatically generate audio when needed and provides options for prompt enhancement and watermarking. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | "wan2.5-t2v-preview" | Model to use (default: "wan2.5-t2v-preview") | +| `prompt` | STRING | Yes | - | Prompt used to describe the elements and visual features, supports English/Chinese (default: "") | +| `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid (default: "") | +| `size` | COMBO | No | "480p: 1:1 (624x624)"
"480p: 16:9 (832x480)"
"480p: 9:16 (480x832)"
"720p: 1:1 (960x960)"
"720p: 16:9 (1280x720)"
"720p: 9:16 (720x1280)"
"720p: 4:3 (1088x832)"
"720p: 3:4 (832x1088)"
"1080p: 1:1 (1440x1440)"
"1080p: 16:9 (1920x1080)"
"1080p: 9:16 (1080x1920)"
"1080p: 4:3 (1632x1248)"
"1080p: 3:4 (1248x1632)" | Video resolution and aspect ratio (default: "480p: 1:1 (624x624)") | +| `duration` | INT | No | 5-10 | Available durations: 5 and 10 seconds (default: 5) | +| `audio` | AUDIO | No | - | Audio must contain a clear, loud voice, without extraneous noise, background music | +| `seed` | INT | No | 0-2147483647 | Seed to use for generation (default: 0) | +| `generate_audio` | BOOLEAN | No | - | If there is no audio input, generate audio automatically (default: False) | +| `prompt_extend` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True) | +| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the result (default: True) | + +**Note:** The `duration` parameter only accepts values of 5 or 10 seconds, as these are the available durations. When providing audio input, it must be between 3.0 and 29.0 seconds in duration and contain clear voice without background noise or music. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video based on the input parameters | diff --git a/built-in-nodes/WanTrackToVideo.mdx b/built-in-nodes/WanTrackToVideo.mdx new file mode 100644 index 000000000..689e7b957 --- /dev/null +++ b/built-in-nodes/WanTrackToVideo.mdx @@ -0,0 +1,36 @@ +--- +title: "WanTrackToVideo - ComfyUI Built-in Node Documentation" +description: "The WanTrackToVideo node converts motion tracking data into video sequences by processing track points and generating corresponding video frames. It takes tracking coordinates as input and produces..." +sidebarTitle: "WanTrackToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTrackToVideo/en.md) + +The WanTrackToVideo node converts motion tracking data into video sequences by processing track points and generating corresponding video frames. It takes tracking coordinates as input and produces video conditioning and latent representations that can be used for video generation. When no tracks are provided, it falls back to standard image-to-video conversion. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning for video generation | +| `negative` | CONDITIONING | Yes | - | Negative conditioning for video generation | +| `vae` | VAE | Yes | - | VAE model for encoding and decoding | +| `tracks` | STRING | Yes | - | JSON-formatted tracking data as a multiline string (default: "[]") | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the output video (default: 81, step: 4) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | +| `temperature` | FLOAT | Yes | 1.0 to 1000.0 | Temperature parameter for motion patching (default: 220.0, step: 0.1) | +| `topk` | INT | Yes | 1 to 10 | Top-k value for motion patching (default: 2) | +| `start_image` | IMAGE | No | - | Starting image for video generation | +| `clip_vision_output` | CLIPVISIONOUTPUT | No | - | CLIP vision output for additional conditioning | + +**Note:** When `tracks` contains valid tracking data, the node processes motion tracks to generate video. When `tracks` is empty, it switches to standard image-to-video mode. If `start_image` is provided, it initializes the first frame of the video sequence. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Positive conditioning with motion track information applied | +| `negative` | CONDITIONING | Negative conditioning with motion track information applied | +| `latent` | LATENT | Generated video latent representation | diff --git a/built-in-nodes/WanVaceToVideo.mdx b/built-in-nodes/WanVaceToVideo.mdx new file mode 100644 index 000000000..b9a75c24f --- /dev/null +++ b/built-in-nodes/WanVaceToVideo.mdx @@ -0,0 +1,36 @@ +--- +title: "WanVaceToVideo - ComfyUI Built-in Node Documentation" +description: "The WanVaceToVideo node processes video conditioning data for video generation models. It takes positive and negative conditioning inputs along with video control data and prepares latent represent..." +sidebarTitle: "WanVaceToVideo" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanVaceToVideo/en.md) + +The WanVaceToVideo node processes video conditioning data for video generation models. It takes positive and negative conditioning inputs along with video control data and prepares latent representations for video generation. The node handles video upscaling, masking, and VAE encoding to create the appropriate conditioning structure for video models. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | Positive conditioning input for guiding the generation | +| `negative` | CONDITIONING | Yes | - | Negative conditioning input for guiding the generation | +| `vae` | VAE | Yes | - | VAE model used for encoding images and video frames | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video (default: 81, step: 4) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | +| `strength` | FLOAT | Yes | 0.0 to 1000.0 | Control strength for video conditioning (default: 1.0, step: 0.01) | +| `control_video` | IMAGE | No | - | Optional input video for control conditioning | +| `control_masks` | MASK | No | - | Optional masks for controlling which parts of the video to modify | +| `reference_image` | IMAGE | No | - | Optional reference image for additional conditioning | + +**Note:** When `control_video` is provided, it will be upscaled to match the specified width and height. If `control_masks` are provided, they must match the dimensions of the control video. The `reference_image` is encoded through the VAE and prepended to the latent sequence when provided. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | Positive conditioning with video control data applied | +| `negative` | CONDITIONING | Negative conditioning with video control data applied | +| `latent` | LATENT | Empty latent tensor ready for video generation | +| `trim_latent` | INT | Number of latent frames to trim when reference image is used | diff --git a/built-in-nodes/WavespeedFlashVSRNode.mdx b/built-in-nodes/WavespeedFlashVSRNode.mdx new file mode 100644 index 000000000..e03467d41 --- /dev/null +++ b/built-in-nodes/WavespeedFlashVSRNode.mdx @@ -0,0 +1,27 @@ +--- +title: "WavespeedFlashVSRNode - ComfyUI Built-in Node Documentation" +description: "The WavespeedFlashVSRNode is a fast, high-quality video upscaler that boosts the resolution and restores clarity for low-resolution or blurry footage. It processes a video input and outputs a new v..." +sidebarTitle: "WavespeedFlashVSRNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md) + +The WavespeedFlashVSRNode is a fast, high-quality video upscaler that boosts the resolution and restores clarity for low-resolution or blurry footage. It processes a video input and outputs a new video at a user-selected higher resolution. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | N/A | The input video file to be upscaled. | +| `target_resolution` | STRING | Yes | `"720p"`
`"1080p"`
`"2K"`
`"4K"` | The desired resolution for the upscaled output video. | + +**Input Constraints:** + +* The input `video` file must be in the MP4 container format. +* The duration of the input `video` must be between 5 seconds and 10 minutes (600 seconds). + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The upscaled video file at the selected target resolution. | diff --git a/built-in-nodes/WavespeedImageUpscaleNode.mdx b/built-in-nodes/WavespeedImageUpscaleNode.mdx new file mode 100644 index 000000000..f50b01735 --- /dev/null +++ b/built-in-nodes/WavespeedImageUpscaleNode.mdx @@ -0,0 +1,25 @@ +--- +title: "WavespeedImageUpscaleNode - ComfyUI Built-in Node Documentation" +description: "The WaveSpeed Image Upscale node uses an external AI service to increase the resolution and quality of an image. It takes a single input photo and upscales it to a higher target resolution, such as..." +sidebarTitle: "WavespeedImageUpscaleNode" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md) + +The WaveSpeed Image Upscale node uses an external AI service to increase the resolution and quality of an image. It takes a single input photo and upscales it to a higher target resolution, such as 2K, 4K, or 8K, producing a sharper and more detailed result. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | STRING | Yes | `"SeedVR2"`
`"Ultimate"` | The AI model to use for upscaling. "SeedVR2" and "Ultimate" offer different quality and pricing tiers. | +| `image` | IMAGE | Yes | | The input image to be upscaled. | +| `target_resolution` | STRING | Yes | `"2K"`
`"4K"`
`"8K"` | The desired output resolution for the upscaled image. | + +**Note:** This node requires exactly one input image. Providing a batch of images will result in an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The upscaled, high-resolution output image. | diff --git a/built-in-nodes/WebcamCapture.mdx b/built-in-nodes/WebcamCapture.mdx new file mode 100644 index 000000000..f4b943843 --- /dev/null +++ b/built-in-nodes/WebcamCapture.mdx @@ -0,0 +1,26 @@ +--- +title: "WebcamCapture - ComfyUI Built-in Node Documentation" +description: "The WebcamCapture node captures images from a webcam device and converts them into a format that can be used within ComfyUI workflows. It inherits from the LoadImage node and provides options to co..." +sidebarTitle: "WebcamCapture" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WebcamCapture/en.md) + +The WebcamCapture node captures images from a webcam device and converts them into a format that can be used within ComfyUI workflows. It inherits from the LoadImage node and provides options to control the capture dimensions and timing. When enabled, the node can capture new images each time the workflow queue is processed. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | WEBCAM | Yes | - | The webcam input source to capture images from | +| `width` | INT | No | 0 to MAX_RESOLUTION | The desired width for the captured image (default: 0, uses webcam's native resolution) | +| `height` | INT | No | 0 to MAX_RESOLUTION | The desired height for the captured image (default: 0, uses webcam's native resolution) | +| `capture_on_queue` | BOOLEAN | No | - | When enabled, captures a new image each time the workflow queue is processed (default: True) | + +**Note:** When both `width` and `height` are set to 0, the node uses the webcam's native resolution. Setting either dimension to a non-zero value will resize the captured image accordingly. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The captured webcam image converted to ComfyUI's image format | diff --git a/built-in-nodes/ZImageFunControlnet.mdx b/built-in-nodes/ZImageFunControlnet.mdx new file mode 100644 index 000000000..727222d7c --- /dev/null +++ b/built-in-nodes/ZImageFunControlnet.mdx @@ -0,0 +1,31 @@ +--- +title: "ZImageFunControlnet - ComfyUI Built-in Node Documentation" +description: "The ZImageFunControlnet node applies a specialized control network to influence the image generation or editing process. It uses a base model, a model patch, and a VAE, allowing you to adjust the s..." +sidebarTitle: "ZImageFunControlnet" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ZImageFunControlnet/en.md) + +The ZImageFunControlnet node applies a specialized control network to influence the image generation or editing process. It uses a base model, a model patch, and a VAE, allowing you to adjust the strength of the control effect. This node can work with a base image, an inpainting image, and a mask for more targeted edits. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The base model used for the generation process. | +| `model_patch` | MODEL_PATCH | Yes | - | A specialized patch model that applies the control network's guidance. | +| `vae` | VAE | Yes | - | The Variational Autoencoder used for encoding and decoding images. | +| `strength` | FLOAT | Yes | -10.0 to 10.0 | The strength of the control network's influence. Positive values apply the effect, while negative values can invert it (default: 1.0). | +| `image` | IMAGE | No | - | An optional base image to guide the generation process. | +| `inpaint_image` | IMAGE | No | - | An optional image used specifically for inpainting areas defined by a mask. | +| `mask` | MASK | No | - | An optional mask that defines which areas of an image should be edited or inpainted. | + +**Note:** The `inpaint_image` parameter is typically used in conjunction with a `mask` to specify the content for inpainting. The node's behavior may change based on which optional inputs are provided (e.g., using `image` for guidance or using `image`, `mask`, and `inpaint_image` for inpainting). + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The model with the control network patch applied, ready for use in a sampling pipeline. | +| `positive` | CONDITIONING | The positive conditioning, potentially modified by the control network inputs. | +| `negative` | CONDITIONING | The negative conditioning, potentially modified by the control network inputs. | diff --git a/built-in-nodes/unCLIPCheckpointLoader.mdx b/built-in-nodes/unCLIPCheckpointLoader.mdx new file mode 100644 index 000000000..413f74138 --- /dev/null +++ b/built-in-nodes/unCLIPCheckpointLoader.mdx @@ -0,0 +1,24 @@ +--- +title: "unCLIPCheckpointLoader - ComfyUI Built-in Node Documentation" +description: "This node will detect models located in the `ComfyUI/models/checkpoints` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may..." +sidebarTitle: "unCLIPCheckpointLoader" +icon: "circle" +--- +This node will detect models located in the `ComfyUI/models/checkpoints` folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to **refresh the ComfyUI interface** to allow it to read the model files from the corresponding folder. + +The unCLIPCheckpointLoader node is designed for loading checkpoints specifically tailored for unCLIP models. It facilitates the retrieval and initialization of models, CLIP vision modules, and VAEs from a specified checkpoint, streamlining the setup process for further operations or analyses. + +## Inputs + +| Field | Comfy dtype | Description | +|------------|-------------------|-----------------------------------------------------------------------------------| +| `ckpt_name`| `COMBO[STRING]` | Specifies the name of the checkpoint to be loaded, identifying and retrieving the correct checkpoint file from a predefined directory, determining the initialization of models and configurations. | + +## Outputs + +| Field | Comfy dtype | Description | Python dtype | +|-------------|---------------|--------------------------------------------------------------------------|---------------------| +| `model` | `MODEL` | Represents the primary model loaded from the checkpoint. | `torch.nn.Module` | +| `clip` | `CLIP` | Represents the CLIP module loaded from the checkpoint, if available. | `torch.nn.Module` | +| `vae` | `VAE` | Represents the VAE module loaded from the checkpoint, if available. | `torch.nn.Module` | +| `clip_vision`| `CLIP_VISION` | Represents the CLIP vision module loaded from the checkpoint, if available.| `torch.nn.Module` | diff --git a/built-in-nodes/unCLIPConditioning.mdx b/built-in-nodes/unCLIPConditioning.mdx new file mode 100644 index 000000000..9b06ad5e4 --- /dev/null +++ b/built-in-nodes/unCLIPConditioning.mdx @@ -0,0 +1,23 @@ +--- +title: "unCLIPConditioning - ComfyUI Built-in Node Documentation" +description: "This node is designed to integrate CLIP vision outputs into the conditioning process, adjusting the influence of these outputs based on specified strength and noise augmentation parameters. It enri..." +sidebarTitle: "unCLIPConditioning" +icon: "circle" +--- + +This node is designed to integrate CLIP vision outputs into the conditioning process, adjusting the influence of these outputs based on specified strength and noise augmentation parameters. It enriches the conditioning with visual context, enhancing the generation process. + +## Inputs + +| Parameter | Comfy dtype | Description | +|------------------------|------------------------|-------------| +| `conditioning` | `CONDITIONING` | The base conditioning data to which the CLIP vision outputs are to be added, serving as the foundation for further modifications. | +| `clip_vision_output` | `CLIP_VISION_OUTPUT` | The output from a CLIP vision model, providing visual context that is integrated into the conditioning. | +| `strength` | `FLOAT` | Determines the intensity of the CLIP vision output's influence on the conditioning. | +| `noise_augmentation` | `FLOAT` | Specifies the level of noise augmentation to apply to the CLIP vision output before integrating it into the conditioning. | + +## Outputs + +| Parameter | Comfy dtype | Description | +|-----------------------|------------------------|-------------| +| `conditioning` | `CONDITIONING` | The enriched conditioning data, now containing integrated CLIP vision outputs with applied strength and noise augmentation. | diff --git a/built-in-nodes/wanBlockSwap.mdx b/built-in-nodes/wanBlockSwap.mdx new file mode 100644 index 000000000..0789a288b --- /dev/null +++ b/built-in-nodes/wanBlockSwap.mdx @@ -0,0 +1,21 @@ +--- +title: "wanBlockSwap - ComfyUI Built-in Node Documentation" +description: "This node is deprecated and serves no function. It accepts a model as input and returns the same model unchanged. The description \"NOP\" indicates it performs no operation." +sidebarTitle: "wanBlockSwap" +icon: "circle" +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/wanBlockSwap/en.md) + +This node is deprecated and serves no function. It accepts a model as input and returns the same model unchanged. The description "NOP" indicates it performs no operation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | | The model to pass through the node. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The same model that was provided as input, unchanged. | diff --git a/docs.json b/docs.json index eb7911698..3a3976617 100644 --- a/docs.json +++ b/docs.json @@ -44,7 +44,10 @@ { "group": "Comfy Cloud", "icon": "cloud", - "pages": ["get_started/cloud", "cloud/import-models"] + "pages": [ + "get_started/cloud", + "cloud/import-models" + ] }, "installation/install_custom_node", "get_started/first_generation" @@ -178,7 +181,9 @@ }, { "group": "Ovis", - "pages": ["tutorials/image/ovis/ovis-image"] + "pages": [ + "tutorials/image/ovis/ovis-image" + ] }, { "group": "NewBie-image", @@ -192,7 +197,9 @@ }, { "group": "3D", - "pages": ["tutorials/3d/hunyuan3D-2"] + "pages": [ + "tutorials/3d/hunyuan3D-2" + ] }, { "group": "Video", @@ -396,128 +403,263 @@ { "tab": "Built-in Nodes", "pages": [ - "built-in-nodes/overview", - { - "group": "conditioning", - "pages": [ - "built-in-nodes/ClipSetLastLayer", - "built-in-nodes/ClipTextEncode", - "built-in-nodes/ClipVisionEncode", - { - "group": "Video Models", - "pages": [ - "built-in-nodes/conditioning/video-models/wan-vace-to-video" - ] - } - ] - }, - { - "group": "Image", - "pages": ["built-in-nodes/Canny"] - }, { - "group": "Loader", + "group": "3D", "pages": [ - "built-in-nodes/CheckpointLoaderSimple", - "built-in-nodes/ClipLoader", - "built-in-nodes/ClipVisionLoader" + "built-in-nodes/EmptyLatentHunyuan3Dv2", + "built-in-nodes/Hunyuan3Dv2Conditioning", + "built-in-nodes/Hunyuan3Dv2ConditioningMultiView", + "built-in-nodes/Load3D", + "built-in-nodes/Preview3D", + "built-in-nodes/SaveGLB", + "built-in-nodes/VoxelToMesh", + "built-in-nodes/VoxelToMeshBasic" ] }, { - "group": "Latent", - "pages": ["built-in-nodes/latent/video/trim-video-latent"] - }, - { - "group": "Advanced", + "group": "API Node", "pages": [ - "built-in-nodes/ClipMergeSimple", - "built-in-nodes/ClipSave", { - "group": "Conditioning", + "group": "3D", "pages": [ - "built-in-nodes/ClipTextEncodeFlux", - "built-in-nodes/ClipTextEncodeHunyuanDit", - "built-in-nodes/ClipTextEncodeSdxl", - "built-in-nodes/ClipTextEncodeSdxlRefiner" + { + "group": "Meshy", + "pages": [ + "built-in-nodes/MeshyAnimateModelNode", + "built-in-nodes/MeshyImageToModelNode", + "built-in-nodes/MeshyMultiImageToModelNode", + "built-in-nodes/MeshyRefineNode", + "built-in-nodes/MeshyRigModelNode", + "built-in-nodes/MeshyTextToModelNode", + "built-in-nodes/MeshyTextureNode" + ] + }, + { + "group": "Rodin", + "pages": [ + "built-in-nodes/Rodin3D_Detail", + "built-in-nodes/Rodin3D_Gen2", + "built-in-nodes/Rodin3D_Regular", + "built-in-nodes/Rodin3D_Sketch", + "built-in-nodes/Rodin3D_Smooth" + ] + }, + { + "group": "Tencent", + "pages": [ + "built-in-nodes/Tencent3DPartNode", + "built-in-nodes/Tencent3DTextureEditNode", + "built-in-nodes/TencentImageToModelNode", + "built-in-nodes/TencentModelTo3DUVNode", + "built-in-nodes/TencentTextToModelNode" + ] + }, + { + "group": "Tripo", + "pages": [ + "built-in-nodes/TripoConversionNode", + "built-in-nodes/TripoImageToModelNode", + "built-in-nodes/TripoMultiviewToModelNode", + "built-in-nodes/TripoRefineNode", + "built-in-nodes/TripoRetargetNode", + "built-in-nodes/TripoRigNode", + "built-in-nodes/TripoTextToModelNode", + "built-in-nodes/TripoTextureNode" + ] + } ] - } - ] - }, - { - "group": "Sampling", - "pages": [ - "built-in-nodes/sampling/ksampler", + }, { - "group": "Custom Sampling", - "pages": ["built-in-nodes/BasicScheduler"] - } - ] - }, - { - "group": "3D", - "pages": ["built-in-nodes/Load3D"] - }, - { - "group": "Partner Node", - "pages": [ + "group": "Audio", + "pages": [ + { + "group": "Elevenlabs", + "pages": [ + "built-in-nodes/ElevenLabsAudioIsolation", + "built-in-nodes/ElevenLabsInstantVoiceClone", + "built-in-nodes/ElevenLabsSpeechToSpeech", + "built-in-nodes/ElevenLabsSpeechToText", + "built-in-nodes/ElevenLabsTextToDialogue", + "built-in-nodes/ElevenLabsTextToSoundEffects", + "built-in-nodes/ElevenLabsTextToSpeech", + "built-in-nodes/ElevenLabsVoiceSelector" + ] + }, + { + "group": "Stability Ai", + "pages": [ + "built-in-nodes/StabilityAudioInpaint", + "built-in-nodes/StabilityAudioToAudio" + ] + } + ] + }, { "group": "Image", "pages": [ { - "group": "BFL", + "group": "Bfl", "pages": [ - "built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image" + "built-in-nodes/FluxProExpandNode", + "built-in-nodes/FluxProFillNode", + "built-in-nodes/FluxProUltraImageNode" + ] + }, + { + "group": "Bria", + "pages": [ + "built-in-nodes/BriaImageEditNode", + "built-in-nodes/BriaRemoveImageBackground" + ] + }, + { + "group": "Bytedance", + "pages": [ + "built-in-nodes/ByteDanceImageNode", + "built-in-nodes/ByteDanceSeedreamNode" + ] + }, + { + "group": "Gemini", + "pages": [ + "built-in-nodes/GeminiImage", + "built-in-nodes/GeminiImage2Node", + "built-in-nodes/GeminiImageNode" + ] + }, + { + "group": "Grok", + "pages": [ + "built-in-nodes/GrokImageEditNode", + "built-in-nodes/GrokImageNode" + ] + }, + { + "group": "Hitpaw", + "pages": [ + "built-in-nodes/HitPawGeneralImageEnhance" + ] + }, + { + "group": "Ideogram", + "pages": [ + "built-in-nodes/IdeogramV1", + "built-in-nodes/IdeogramV2", + "built-in-nodes/IdeogramV3" + ] + }, + { + "group": "Kling", + "pages": [ + "built-in-nodes/KlingImageGenerationNode", + "built-in-nodes/KlingOmniProImageNode", + "built-in-nodes/KlingVirtualTryOnNode" ] }, { "group": "Luma", "pages": [ - "built-in-nodes/partner-node/image/luma/luma-reference", - "built-in-nodes/partner-node/image/luma/luma-text-to-image", - "built-in-nodes/partner-node/image/luma/luma-image-to-image" + "built-in-nodes/LumaConceptsNode", + "built-in-nodes/LumaImageModifyNode", + "built-in-nodes/LumaReferenceNode" + ] + }, + { + "group": "Magnific", + "pages": [ + "built-in-nodes/MagnificImageRelightNode", + "built-in-nodes/MagnificImageSkinEnhancerNode", + "built-in-nodes/MagnificImageStyleTransferNode", + "built-in-nodes/MagnificImageUpscalerCreativeNode", + "built-in-nodes/MagnificImageUpscalerPreciseV2Node" + ] + }, + { + "group": "Openai", + "pages": [ + "built-in-nodes/OpenAIDalle2", + "built-in-nodes/OpenAIDalle3", + "built-in-nodes/OpenAIGPTImage1" ] }, { "group": "Recraft", "pages": [ - "built-in-nodes/partner-node/image/recraft/save-svg", - "built-in-nodes/partner-node/image/recraft/recraft-style-realistic-image", - "built-in-nodes/partner-node/image/recraft/recraft-text-to-vector", - "built-in-nodes/partner-node/image/recraft/recraft-creative-upscale", - "built-in-nodes/partner-node/image/recraft/recraft-image-to-image", - "built-in-nodes/partner-node/image/recraft/recraft-crisp-upscale", - "built-in-nodes/partner-node/image/recraft/recraft-color-rgb", - "built-in-nodes/partner-node/image/recraft/recraft-text-to-image", - "built-in-nodes/partner-node/image/recraft/recraft-image-inpainting", - "built-in-nodes/partner-node/image/recraft/recraft-vectorize-image", - "built-in-nodes/partner-node/image/recraft/recraft-style-digital-illustration", - "built-in-nodes/partner-node/image/recraft/recraft-remove-background", - "built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster", - "built-in-nodes/partner-node/image/recraft/recraft-controls", - "built-in-nodes/partner-node/image/recraft/recraft-replace-background" + "built-in-nodes/RecraftColorRGB", + "built-in-nodes/RecraftControls", + "built-in-nodes/RecraftCreateStyleNode", + "built-in-nodes/RecraftCreativeUpscaleNode", + "built-in-nodes/RecraftCrispUpscaleNode", + "built-in-nodes/RecraftImageInpaintingNode", + "built-in-nodes/RecraftImageToImageNode", + "built-in-nodes/RecraftRemoveBackgroundNode", + "built-in-nodes/RecraftReplaceBackgroundNode", + "built-in-nodes/RecraftStyleV3DigitalIllustration", + "built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", + "built-in-nodes/RecraftStyleV3LogoRaster", + "built-in-nodes/RecraftStyleV3RealisticImage", + "built-in-nodes/RecraftStyleV3VectorIllustrationNode", + "built-in-nodes/RecraftTextToImageNode", + "built-in-nodes/RecraftTextToVectorNode", + "built-in-nodes/RecraftV4TextToImageNode", + "built-in-nodes/RecraftV4TextToVectorNode", + "built-in-nodes/RecraftVectorizeImageNode" ] }, { - "group": "Ideogram", + "group": "Runway", "pages": [ - "built-in-nodes/partner-node/image/ideogram/ideogram-v2", - "built-in-nodes/partner-node/image/ideogram/ideogram-v3", - "built-in-nodes/partner-node/image/ideogram/ideogram-v1" + "built-in-nodes/RunwayTextToImageNode" ] }, { - "group": "Stability AI", + "group": "Stability Ai", "pages": [ - "built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra", - "built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image" + "built-in-nodes/StabilityStableImageSD_3_5Node", + "built-in-nodes/StabilityStableImageUltraNode", + "built-in-nodes/StabilityTextToAudio", + "built-in-nodes/StabilityUpscaleConservativeNode", + "built-in-nodes/StabilityUpscaleCreativeNode", + "built-in-nodes/StabilityUpscaleFastNode" ] }, { - "group": "OpenAI", + "group": "Topaz", "pages": [ - "built-in-nodes/partner-node/image/openai/openai-gpt-image1", - "built-in-nodes/partner-node/image/openai/openai-dalle2", - "built-in-nodes/partner-node/image/openai/openai-dalle3" + "built-in-nodes/TopazImageEnhance" + ] + }, + { + "group": "Wan", + "pages": [ + "built-in-nodes/WanImageToImageApi", + "built-in-nodes/WanTextToImageApi" + ] + }, + { + "group": "Wavespeed", + "pages": [ + "built-in-nodes/WavespeedImageUpscaleNode" + ] + } + ] + }, + { + "group": "Text", + "pages": [ + { + "group": "Gemini", + "pages": [ + "built-in-nodes/GeminiInputFiles", + "built-in-nodes/GeminiNode" + ] + }, + { + "group": "Openai", + "pages": [ + "built-in-nodes/OpenAIChatConfig", + "built-in-nodes/OpenAIChatNode", + "built-in-nodes/OpenAIInputFiles" ] } ] @@ -526,73 +668,892 @@ "group": "Video", "pages": [ { - "group": "Google", + "group": "Bria", "pages": [ - "built-in-nodes/partner-node/video/google/google-veo2-video" + "built-in-nodes/BriaRemoveVideoBackground" + ] + }, + { + "group": "Bytedance", + "pages": [ + "built-in-nodes/ByteDanceFirstLastFrameNode", + "built-in-nodes/ByteDanceImageReferenceNode", + "built-in-nodes/ByteDanceImageToVideoNode", + "built-in-nodes/ByteDanceTextToVideoNode" + ] + }, + { + "group": "Grok", + "pages": [ + "built-in-nodes/GrokVideoEditNode", + "built-in-nodes/GrokVideoNode" + ] + }, + { + "group": "Hitpaw", + "pages": [ + "built-in-nodes/HitPawVideoEnhance" ] }, { "group": "Kling", "pages": [ - "built-in-nodes/partner-node/video/kwai_vgi/kling-camera-controls", - "built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video", - "built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", - "built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video", - "built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video", - "built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v" + "built-in-nodes/KlingCameraControlI2VNode", + "built-in-nodes/KlingCameraControlT2VNode", + "built-in-nodes/KlingCameraControls", + "built-in-nodes/KlingDualCharacterVideoEffectNode", + "built-in-nodes/KlingFirstLastFrameNode", + "built-in-nodes/KlingImage2VideoNode", + "built-in-nodes/KlingImageToVideoWithAudio", + "built-in-nodes/KlingLipSyncAudioToVideoNode", + "built-in-nodes/KlingLipSyncTextToVideoNode", + "built-in-nodes/KlingMotionControl", + "built-in-nodes/KlingOmniProEditVideoNode", + "built-in-nodes/KlingOmniProFirstLastFrameNode", + "built-in-nodes/KlingOmniProImageToVideoNode", + "built-in-nodes/KlingOmniProTextToVideoNode", + "built-in-nodes/KlingOmniProVideoToVideoNode", + "built-in-nodes/KlingSingleImageVideoEffectNode", + "built-in-nodes/KlingStartEndFrameNode", + "built-in-nodes/KlingTextToVideoNode", + "built-in-nodes/KlingTextToVideoWithAudio", + "built-in-nodes/KlingVideoExtendNode", + "built-in-nodes/KlingVideoNode" + ] + }, + { + "group": "Ltxv", + "pages": [ + "built-in-nodes/LtxvApiImageToVideo", + "built-in-nodes/LtxvApiTextToVideo" ] }, { "group": "Luma", "pages": [ - "built-in-nodes/partner-node/video/luma/luma-text-to-video", - "built-in-nodes/partner-node/video/luma/luma-image-to-video", - "built-in-nodes/partner-node/video/luma/luma-concepts" + "built-in-nodes/LumaImageNode", + "built-in-nodes/LumaImageToVideoNode", + "built-in-nodes/LumaVideoNode" ] }, { - "group": "MiniMax", + "group": "Minimax", "pages": [ - "built-in-nodes/partner-node/video/minimax/minimax-image-to-video", - "built-in-nodes/partner-node/video/minimax/minimax-text-to-video" + "built-in-nodes/MinimaxHailuoVideoNode", + "built-in-nodes/MinimaxImageToVideoNode", + "built-in-nodes/MinimaxSubjectToVideoNode", + "built-in-nodes/MinimaxTextToVideoNode" ] }, { - "group": "Pika", + "group": "Moonvalley Marey", "pages": [ - "built-in-nodes/partner-node/video/pika/pika-text-to-video", - "built-in-nodes/partner-node/video/pika/pika-scenes", - "built-in-nodes/partner-node/video/pika/pika-image-to-video" + "built-in-nodes/MoonvalleyImg2VideoNode", + "built-in-nodes/MoonvalleyTxt2VideoNode", + "built-in-nodes/MoonvalleyVideo2VideoNode" ] }, { - "group": "PixVerse", + "group": "Pixverse", "pages": [ - "built-in-nodes/partner-node/video/pixverse/pixverse-template", - "built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", - "built-in-nodes/partner-node/video/pixverse/pixverse-transition-video", - "built-in-nodes/partner-node/video/pixverse/pixverse-image-to-video" + "built-in-nodes/PixverseImageToVideoNode", + "built-in-nodes/PixverseTemplateNode", + "built-in-nodes/PixverseTextToVideoNode", + "built-in-nodes/PixverseTransitionVideoNode" + ] + }, + { + "group": "Runway", + "pages": [ + "built-in-nodes/RunwayFirstLastFrameNode", + "built-in-nodes/RunwayImageToVideoNodeGen3a", + "built-in-nodes/RunwayImageToVideoNodeGen4" + ] + }, + { + "group": "Sora", + "pages": [ + "built-in-nodes/OpenAIVideoSora2" + ] + }, + { + "group": "Topaz", + "pages": [ + "built-in-nodes/TopazVideoEnhance" + ] + }, + { + "group": "Veo", + "pages": [ + "built-in-nodes/Veo3FirstLastFrameNode", + "built-in-nodes/Veo3VideoGenerationNode", + "built-in-nodes/VeoVideoGenerationNode" + ] + }, + { + "group": "Vidu", + "pages": [ + "built-in-nodes/Vidu2ImageToVideoNode", + "built-in-nodes/Vidu2ReferenceVideoNode", + "built-in-nodes/Vidu2StartEndToVideoNode", + "built-in-nodes/Vidu2TextToVideoNode", + "built-in-nodes/Vidu3ImageToVideoNode", + "built-in-nodes/Vidu3StartEndToVideoNode", + "built-in-nodes/Vidu3TextToVideoNode", + "built-in-nodes/ViduExtendVideoNode", + "built-in-nodes/ViduImageToVideoNode", + "built-in-nodes/ViduMultiFrameVideoNode", + "built-in-nodes/ViduReferenceVideoNode", + "built-in-nodes/ViduStartEndToVideoNode", + "built-in-nodes/ViduTextToVideoNode" + ] + }, + { + "group": "Wan", + "pages": [ + "built-in-nodes/WanImageToVideoApi", + "built-in-nodes/WanReferenceVideoApi", + "built-in-nodes/WanTextToVideoApi" + ] + }, + { + "group": "Wavespeed", + "pages": [ + "built-in-nodes/WavespeedFlashVSRNode" ] } ] } ] - } - ] - }, - { - "tab": "Development", - "pages": [ - "development/overview", + }, { - "group": "ComfyUI Server", - "icon": "code", + "group": "Advanced", "pages": [ - "development/comfyui-server/comms_overview", - "development/comfyui-server/comms_messages", - "development/comfyui-server/comms_routes", - "development/comfyui-server/execution_model_inversion_guide", - "development/comfyui-server/api-key-integration" + { + "group": "Conditioning", + "pages": [ + "built-in-nodes/ClipTextEncodeFlux", + "built-in-nodes/ClipTextEncodeHunyuanDit", + "built-in-nodes/ClipTextEncodeSdxl", + "built-in-nodes/ClipTextEncodeSdxlRefiner" + ] + }, + "built-in-nodes/AddNoise", + "built-in-nodes/ByteDanceImageEditNode", + "built-in-nodes/CLIPAdd", + "built-in-nodes/CLIPAttentionMultiply", + "built-in-nodes/CLIPMergeAdd", + "built-in-nodes/CLIPMergeSimple", + "built-in-nodes/CLIPMergeSubtract", + "built-in-nodes/CLIPSave", + "built-in-nodes/CLIPSubtract", + "built-in-nodes/CaseConverter", + "built-in-nodes/CheckpointSave", + "built-in-nodes/ClipMergeSimple", + "built-in-nodes/ClipSave", + "built-in-nodes/ColorToRGBInt", + "built-in-nodes/CombineHooks", + "built-in-nodes/CombineHooksEight", + "built-in-nodes/CombineHooksFour", + "built-in-nodes/ConditioningSetDefaultAndCombine", + "built-in-nodes/ConditioningSetProperties", + "built-in-nodes/ConditioningSetPropertiesAndCombine", + "built-in-nodes/ConditioningTimestepsRange", + "built-in-nodes/CreateHookKeyframe", + "built-in-nodes/CreateHookKeyframesFromFloats", + "built-in-nodes/CreateHookKeyframesInterpolated", + "built-in-nodes/CreateHookLora", + "built-in-nodes/CreateHookLoraModelOnly", + "built-in-nodes/CreateHookModelAsLora", + "built-in-nodes/CreateHookModelAsLoraModelOnly", + "built-in-nodes/CustomCombo", + "built-in-nodes/DCTestNode", + "built-in-nodes/DeprecatedCheckpointLoader", + "built-in-nodes/DeprecatedDiffusersLoader", + "built-in-nodes/DifferentialDiffusion", + "built-in-nodes/EasyCache", + "built-in-nodes/FluxProCannyNode", + "built-in-nodes/FluxProDepthNode", + "built-in-nodes/FluxProImageNode", + "built-in-nodes/FreSca", + "built-in-nodes/HunyuanVideo15SuperResolution", + "built-in-nodes/ImageFromBatch", + "built-in-nodes/ImageOnlyCheckpointSave", + "built-in-nodes/LTXVScheduler", + "built-in-nodes/LatentAdd", + "built-in-nodes/LatentApplyOperationCFG", + "built-in-nodes/LatentBatch", + "built-in-nodes/LatentBlend", + "built-in-nodes/LatentConcat", + "built-in-nodes/LatentCut", + "built-in-nodes/LatentCutToBatch", + "built-in-nodes/LatentInterpolate", + "built-in-nodes/LatentMultiply", + "built-in-nodes/LatentOperationSharpen", + "built-in-nodes/LatentOperationTonemapReinhard", + "built-in-nodes/LatentSubtract", + "built-in-nodes/LazyCache", + "built-in-nodes/Load3DAnimation", + "built-in-nodes/LoadImageSetFromFolderNode", + "built-in-nodes/LoadImageSetNode", + "built-in-nodes/LoadImageTextSetFromFolderNode", + "built-in-nodes/LoadLatent", + "built-in-nodes/LoraSave", + "built-in-nodes/Mahiro", + "built-in-nodes/ManualSigmas", + "built-in-nodes/MarkdownNote", + "built-in-nodes/ModelComputeDtype", + "built-in-nodes/ModelMergeAdd", + "built-in-nodes/ModelMergeAuraflow", + "built-in-nodes/ModelMergeBlocks", + "built-in-nodes/ModelMergeCosmos14B", + "built-in-nodes/ModelMergeCosmos7B", + "built-in-nodes/ModelMergeCosmosPredict2_14B", + "built-in-nodes/ModelMergeCosmosPredict2_2B", + "built-in-nodes/ModelMergeFlux1", + "built-in-nodes/ModelMergeLTXV", + "built-in-nodes/ModelMergeMochiPreview", + "built-in-nodes/ModelMergeQwenImage", + "built-in-nodes/ModelMergeSD1", + "built-in-nodes/ModelMergeSD35_Large", + "built-in-nodes/ModelMergeSD3_2B", + "built-in-nodes/ModelMergeSDXL", + "built-in-nodes/ModelMergeSimple", + "built-in-nodes/ModelMergeSubtract", + "built-in-nodes/ModelMergeWAN2_1", + "built-in-nodes/ModelSamplingAuraFlow", + "built-in-nodes/ModelSamplingContinuousEDM", + "built-in-nodes/ModelSamplingContinuousV", + "built-in-nodes/ModelSamplingDiscrete", + "built-in-nodes/ModelSamplingFlux", + "built-in-nodes/ModelSamplingSD3", + "built-in-nodes/ModelSamplingStableCascade", + "built-in-nodes/ModelSave", + "built-in-nodes/Note", + "built-in-nodes/PairConditioningCombine", + "built-in-nodes/PairConditioningSetDefaultAndCombine", + "built-in-nodes/PairConditioningSetProperties", + "built-in-nodes/PairConditioningSetPropertiesAndCombine", + "built-in-nodes/PerpNeg", + "built-in-nodes/PerpNegGuider", + "built-in-nodes/PhotoMakerEncode", + "built-in-nodes/PhotoMakerLoader", + "built-in-nodes/PikaImageToVideoNode2_2", + "built-in-nodes/PikaScenesV2_2", + "built-in-nodes/PikaStartEndFrameNode2_2", + "built-in-nodes/PikaTextToVideoNode2_2", + "built-in-nodes/Pikadditions", + "built-in-nodes/Pikaffects", + "built-in-nodes/Pikaswaps", + "built-in-nodes/Preview3DAnimation", + "built-in-nodes/PreviewAny", + "built-in-nodes/PrimitiveBoolean", + "built-in-nodes/PrimitiveFloat", + "built-in-nodes/PrimitiveInt", + "built-in-nodes/PrimitiveString", + "built-in-nodes/PrimitiveStringMultiline", + "built-in-nodes/RegexExtract", + "built-in-nodes/RegexMatch", + "built-in-nodes/RegexReplace", + "built-in-nodes/RenormCFG", + "built-in-nodes/ReplaceVideoLatentFrames", + "built-in-nodes/Reroute", + "built-in-nodes/RescaleCFG", + "built-in-nodes/SamplerDpmpp2mSde", + "built-in-nodes/SamplerDpmppSde", + "built-in-nodes/SaveLatent", + "built-in-nodes/SaveLoRANode", + "built-in-nodes/Sd4xupscaleConditioning", + "built-in-nodes/SelfAttentionGuidance", + "built-in-nodes/SetClipHooks", + "built-in-nodes/SetHookKeyframes", + "built-in-nodes/SetModelHooksOnCond", + "built-in-nodes/Stablezero123Conditioning", + "built-in-nodes/Stablezero123ConditioningBatched", + "built-in-nodes/StringCompare", + "built-in-nodes/StringConcatenate", + "built-in-nodes/StringContains", + "built-in-nodes/StringLength", + "built-in-nodes/StringReplace", + "built-in-nodes/StringSubstring", + "built-in-nodes/StringTrim", + "built-in-nodes/SvdImg2vidConditioning", + "built-in-nodes/TerminalLog", + "built-in-nodes/TorchCompileModel", + "built-in-nodes/UNetCrossAttentionMultiply", + "built-in-nodes/UNetSelfAttentionMultiply", + "built-in-nodes/UNetTemporalAttentionMultiply", + "built-in-nodes/VAEDecodeTiled", + "built-in-nodes/VAEEncodeTiled", + "built-in-nodes/VAESave", + "built-in-nodes/wanBlockSwap" + ] + }, + { + "group": "Audio", + "pages": [ + "built-in-nodes/AudioAdjustVolume", + "built-in-nodes/AudioConcat", + "built-in-nodes/AudioEqualizer3Band", + "built-in-nodes/AudioMerge", + "built-in-nodes/ConditioningStableAudio", + "built-in-nodes/EmptyAceStep1.5LatentAudio", + "built-in-nodes/EmptyAceStepLatentAudio", + "built-in-nodes/EmptyAudio", + "built-in-nodes/EmptyLatentAudio", + "built-in-nodes/JoinAudioChannels", + "built-in-nodes/LTXVAudioVAEDecode", + "built-in-nodes/LTXVAudioVAEEncode", + "built-in-nodes/LTXVAudioVAELoader", + "built-in-nodes/LTXVEmptyLatentAudio", + "built-in-nodes/LoadAudio", + "built-in-nodes/PreviewAudio", + "built-in-nodes/RecordAudio", + "built-in-nodes/ReferenceTimbreAudio", + "built-in-nodes/SaveAudio", + "built-in-nodes/SaveAudioMP3", + "built-in-nodes/SaveAudioOpus", + "built-in-nodes/SplitAudioChannels", + "built-in-nodes/TrimAudioDuration", + "built-in-nodes/VAEDecodeAudio", + "built-in-nodes/VAEDecodeAudioTiled", + "built-in-nodes/VAEEncodeAudio" + ] + }, + { + "group": "Camera", + "pages": [ + "built-in-nodes/WanCameraEmbedding" + ] + }, + { + "group": "Context", + "pages": [ + "built-in-nodes/ContextWindowsManual", + "built-in-nodes/WanContextWindowsManual" + ] + }, + { + "group": "Image", + "pages": [ + "built-in-nodes/AddTextPrefix", + "built-in-nodes/AddTextSuffix", + "built-in-nodes/AdjustBrightness", + "built-in-nodes/AdjustContrast", + "built-in-nodes/BatchImagesNode", + "built-in-nodes/BatchLatentsNode", + "built-in-nodes/BatchMasksNode", + "built-in-nodes/Canny", + "built-in-nodes/CenterCropImages", + "built-in-nodes/CreateVideo", + "built-in-nodes/EmptyImage", + "built-in-nodes/GLSLShader", + "built-in-nodes/GetImageSize", + "built-in-nodes/GetVideoComponents", + "built-in-nodes/ImageAddNoise", + "built-in-nodes/ImageBatch", + "built-in-nodes/ImageBlend", + "built-in-nodes/ImageBlur", + "built-in-nodes/ImageCompare", + "built-in-nodes/ImageDeduplication", + "built-in-nodes/ImageFlip", + "built-in-nodes/ImageGrid", + "built-in-nodes/ImageInvert", + "built-in-nodes/ImagePadForOutpaint", + "built-in-nodes/ImageQuantize", + "built-in-nodes/ImageRGBToYUV", + "built-in-nodes/ImageRotate", + "built-in-nodes/ImageScale", + "built-in-nodes/ImageScaleBy", + "built-in-nodes/ImageScaleToTotalPixels", + "built-in-nodes/ImageSharpen", + "built-in-nodes/ImageStitch", + "built-in-nodes/ImageToMask", + "built-in-nodes/ImageYUVToRGB", + "built-in-nodes/LTXVConcatAVLatent", + "built-in-nodes/LTXVPreprocess", + "built-in-nodes/LoadImage", + "built-in-nodes/LoadImageDataSetFromFolder", + "built-in-nodes/LoadImageOutput", + "built-in-nodes/LoadImageTextDataSetFromFolder", + "built-in-nodes/LoadTrainingDataset", + "built-in-nodes/LoadVideo", + "built-in-nodes/LoraLoader", + "built-in-nodes/LoraLoaderModelOnly", + "built-in-nodes/MakeTrainingDataset", + "built-in-nodes/MaskToImage", + "built-in-nodes/MergeImageLists", + "built-in-nodes/MergeTextLists", + "built-in-nodes/Morphology", + "built-in-nodes/NormalizeImages", + "built-in-nodes/PreviewImage", + "built-in-nodes/RandomCropImages", + "built-in-nodes/RebatchImages", + "built-in-nodes/ReplaceText", + "built-in-nodes/ResizeImagesByLongerEdge", + "built-in-nodes/ResizeImagesByShorterEdge", + "built-in-nodes/ResolutionBucket", + "built-in-nodes/SaveAnimatedPNG", + "built-in-nodes/SaveAnimatedWEBP", + "built-in-nodes/SaveImage", + "built-in-nodes/SaveImageDataSetToFolder", + "built-in-nodes/SaveImageTextDataSetToFolder", + "built-in-nodes/SaveTrainingDataset", + "built-in-nodes/SaveVideo", + "built-in-nodes/SaveWEBM", + "built-in-nodes/ShuffleDataset", + "built-in-nodes/ShuffleImageTextDataset", + "built-in-nodes/StripWhitespace", + "built-in-nodes/TextToLowercase", + "built-in-nodes/TextToUppercase", + "built-in-nodes/TruncateText", + "built-in-nodes/Video Slice", + "built-in-nodes/WebcamCapture" + ] + }, + { + "group": "Latent", + "pages": [ + "built-in-nodes/CLIPTextEncodeSD3", + "built-in-nodes/ChromaRadianceOptions", + "built-in-nodes/CosmosImageToVideoLatent", + "built-in-nodes/EmptyChromaRadianceLatentImage", + "built-in-nodes/EmptyCosmosLatentVideo", + "built-in-nodes/EmptyHunyuanImageLatent", + "built-in-nodes/EmptyLTXVLatentVideo", + "built-in-nodes/EmptyLatentImage", + "built-in-nodes/EmptyMochiLatentVideo", + "built-in-nodes/EmptyQwenImageLayeredLatentImage", + "built-in-nodes/FluxDisableGuidance", + "built-in-nodes/HunyuanRefinerLatent", + "built-in-nodes/HunyuanVideo15ImageToVideo", + "built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", + "built-in-nodes/ImageCompositeMasked", + "built-in-nodes/LTXVImgToVideo", + "built-in-nodes/LTXVLatentUpsampler", + "built-in-nodes/LTXVSeparateAVLatent", + "built-in-nodes/LatentApplyOperation", + "built-in-nodes/LatentBatchSeedBehavior", + "built-in-nodes/LatentComposite", + "built-in-nodes/LatentCompositeMasked", + "built-in-nodes/LatentFromBatch", + "built-in-nodes/LatentUpscale", + "built-in-nodes/LatentUpscaleBy", + "built-in-nodes/RebatchLatents", + "built-in-nodes/RepeatLatentBatch", + "built-in-nodes/SetLatentNoiseMask", + "built-in-nodes/StableCascade_EmptyLatentImage", + "built-in-nodes/StableCascade_StageB_Conditioning", + "built-in-nodes/StableCascade_StageC_VAEEncode", + "built-in-nodes/StableCascade_SuperResolutionControlnet", + "built-in-nodes/TrimVideoLatent", + "built-in-nodes/VAEDecode", + "built-in-nodes/VAEEncode", + "built-in-nodes/VAEEncodeForInpaint", + "built-in-nodes/WanCameraImageToVideo", + "built-in-nodes/latent/video/trim-video-latent" + ] + }, + { + "group": "Loader", + "pages": [ + "built-in-nodes/AudioEncoderEncode", + "built-in-nodes/AudioEncoderLoader", + "built-in-nodes/CLIPLoader", + "built-in-nodes/CLIPTextEncodeHiDream", + "built-in-nodes/CLIPVisionLoader", + "built-in-nodes/CheckpointLoader", + "built-in-nodes/CheckpointLoaderSimple", + "built-in-nodes/ClipLoader", + "built-in-nodes/ClipVisionLoader", + "built-in-nodes/ControlNetLoader", + "built-in-nodes/DiffControlNetLoader", + "built-in-nodes/DiffusersLoader", + "built-in-nodes/DualCLIPLoader", + "built-in-nodes/EmptySD3LatentImage", + "built-in-nodes/GLIGENLoader", + "built-in-nodes/HypernetworkLoader", + "built-in-nodes/ImageOnlyCheckpointLoader", + "built-in-nodes/ImageUpscaleWithModel", + "built-in-nodes/LTXAVTextEncoderLoader", + "built-in-nodes/LatentUpscaleModelLoader", + "built-in-nodes/LoraLoaderBypass", + "built-in-nodes/LoraLoaderBypassModelOnly", + "built-in-nodes/LoraModelLoader", + "built-in-nodes/LossGraphNode", + "built-in-nodes/ModelPatchLoader", + "built-in-nodes/QuadrupleCLIPLoader", + "built-in-nodes/QwenImageDiffsynthControlnet", + "built-in-nodes/SaveLoRA", + "built-in-nodes/StyleModelLoader", + "built-in-nodes/TripleCLIPLoader", + "built-in-nodes/UNETLoader", + "built-in-nodes/UpscaleModelLoader", + "built-in-nodes/VAELoader", + "built-in-nodes/ZImageFunControlnet", + "built-in-nodes/unCLIPCheckpointLoader" + ] + }, + { + "group": "Logic", + "pages": [ + "built-in-nodes/AutogrowNamesTestNode", + "built-in-nodes/AutogrowPrefixTestNode", + "built-in-nodes/ComboOptionTestNode", + "built-in-nodes/ComfySoftSwitchNode", + "built-in-nodes/ComfySwitchNode", + "built-in-nodes/ConvertStringToComboNode", + "built-in-nodes/CreateList", + "built-in-nodes/InvertBooleanNode" + ] + }, + { + "group": "Mask", + "pages": [ + "built-in-nodes/BatchImagesMasksLatentsNode", + "built-in-nodes/CropMask", + "built-in-nodes/FeatherMask", + "built-in-nodes/GrowMask", + "built-in-nodes/ImageColorToMask", + "built-in-nodes/InvertMask", + "built-in-nodes/JoinImageWithAlpha", + "built-in-nodes/LoadImageMask", + "built-in-nodes/MaskComposite", + "built-in-nodes/MaskPreview", + "built-in-nodes/PorterDuffImageComposite", + "built-in-nodes/SolidMask", + "built-in-nodes/SplitImageWithAlpha", + "built-in-nodes/ThresholdMask" + ] + }, + { + "group": "Partner Node", + "pages": [ + { + "group": "Image", + "pages": [ + { + "group": "BFL", + "pages": [ + "built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image" + ] + }, + { + "group": "Ideogram", + "pages": [ + "built-in-nodes/partner-node/image/ideogram/ideogram-v1", + "built-in-nodes/partner-node/image/ideogram/ideogram-v2", + "built-in-nodes/partner-node/image/ideogram/ideogram-v3" + ] + }, + { + "group": "Luma", + "pages": [ + "built-in-nodes/partner-node/image/luma/luma-image-to-image", + "built-in-nodes/partner-node/image/luma/luma-reference", + "built-in-nodes/partner-node/image/luma/luma-text-to-image" + ] + }, + { + "group": "OpenAI", + "pages": [ + "built-in-nodes/partner-node/image/openai/openai-dalle2", + "built-in-nodes/partner-node/image/openai/openai-dalle3", + "built-in-nodes/partner-node/image/openai/openai-gpt-image1" + ] + }, + { + "group": "Recraft", + "pages": [ + "built-in-nodes/partner-node/image/recraft/recraft-color-rgb", + "built-in-nodes/partner-node/image/recraft/recraft-controls", + "built-in-nodes/partner-node/image/recraft/recraft-creative-upscale", + "built-in-nodes/partner-node/image/recraft/recraft-crisp-upscale", + "built-in-nodes/partner-node/image/recraft/recraft-image-inpainting", + "built-in-nodes/partner-node/image/recraft/recraft-image-to-image", + "built-in-nodes/partner-node/image/recraft/recraft-remove-background", + "built-in-nodes/partner-node/image/recraft/recraft-replace-background", + "built-in-nodes/partner-node/image/recraft/recraft-style-digital-illustration", + "built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster", + "built-in-nodes/partner-node/image/recraft/recraft-style-realistic-image", + "built-in-nodes/partner-node/image/recraft/recraft-text-to-image", + "built-in-nodes/partner-node/image/recraft/recraft-text-to-vector", + "built-in-nodes/partner-node/image/recraft/recraft-vectorize-image", + "built-in-nodes/partner-node/image/recraft/save-svg" + ] + }, + { + "group": "Stability AI", + "pages": [ + "built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image", + "built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra" + ] + } + ] + }, + { + "group": "Video", + "pages": [ + { + "group": "Google", + "pages": [ + "built-in-nodes/partner-node/video/google/google-veo2-video" + ] + }, + { + "group": "Kling", + "pages": [ + "built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", + "built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v", + "built-in-nodes/partner-node/video/kwai_vgi/kling-camera-controls", + "built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video", + "built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video", + "built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video" + ] + }, + { + "group": "Luma", + "pages": [ + "built-in-nodes/partner-node/video/luma/luma-concepts", + "built-in-nodes/partner-node/video/luma/luma-image-to-video", + "built-in-nodes/partner-node/video/luma/luma-text-to-video" + ] + }, + { + "group": "MiniMax", + "pages": [ + "built-in-nodes/partner-node/video/minimax/minimax-image-to-video", + "built-in-nodes/partner-node/video/minimax/minimax-text-to-video" + ] + }, + { + "group": "Pika", + "pages": [ + "built-in-nodes/partner-node/video/pika/pika-image-to-video", + "built-in-nodes/partner-node/video/pika/pika-scenes", + "built-in-nodes/partner-node/video/pika/pika-text-to-video" + ] + }, + { + "group": "PixVerse", + "pages": [ + "built-in-nodes/partner-node/video/pixverse/pixverse-image-to-video", + "built-in-nodes/partner-node/video/pixverse/pixverse-template", + "built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", + "built-in-nodes/partner-node/video/pixverse/pixverse-transition-video" + ] + } + ] + } + ] + }, + { + "group": "Sampling", + "pages": [ + "built-in-nodes/APG", + "built-in-nodes/AlignYourStepsScheduler", + "built-in-nodes/BasicGuider", + "built-in-nodes/BasicScheduler", + "built-in-nodes/BetaSamplingScheduler", + "built-in-nodes/CFGGuider", + "built-in-nodes/CFGNorm", + "built-in-nodes/CFGZeroStar", + "built-in-nodes/DisableNoise", + "built-in-nodes/DualCFGGuider", + "built-in-nodes/Epsilon Scaling", + "built-in-nodes/EpsilonScaling", + "built-in-nodes/ExponentialScheduler", + "built-in-nodes/ExtendIntermediateSigmas", + "built-in-nodes/FlipSigmas", + "built-in-nodes/FreeU", + "built-in-nodes/FreeU_V2", + "built-in-nodes/GITSScheduler", + "built-in-nodes/HyperTile", + "built-in-nodes/KSampler", + "built-in-nodes/KSamplerAdvanced", + "built-in-nodes/KSamplerSelect", + "built-in-nodes/KarrasScheduler", + "built-in-nodes/LaplaceScheduler", + "built-in-nodes/NAGuidance", + "built-in-nodes/OptimalStepsScheduler", + "built-in-nodes/PatchModelAddDownscale", + "built-in-nodes/PerturbedAttentionGuidance", + "built-in-nodes/PolyexponentialScheduler", + "built-in-nodes/RandomNoise", + "built-in-nodes/SDTurboScheduler", + "built-in-nodes/SamplerCustom", + "built-in-nodes/SamplerCustomAdvanced", + "built-in-nodes/SamplerDPMAdaptative", + "built-in-nodes/SamplerDPMPP_2M_SDE", + "built-in-nodes/SamplerDPMPP_2S_Ancestral", + "built-in-nodes/SamplerDPMPP_3M_SDE", + "built-in-nodes/SamplerDPMPP_SDE", + "built-in-nodes/SamplerER_SDE", + "built-in-nodes/SamplerEulerAncestral", + "built-in-nodes/SamplerEulerAncestralCFGPP", + "built-in-nodes/SamplerEulerCFGpp", + "built-in-nodes/SamplerLCMUpscale", + "built-in-nodes/SamplerLMS", + "built-in-nodes/SamplerSASolver", + "built-in-nodes/SamplerSEEDS2", + "built-in-nodes/SamplingPercentToSigma", + "built-in-nodes/ScaleROPE", + "built-in-nodes/SetFirstSigma", + "built-in-nodes/SkipLayerGuidanceDiT", + "built-in-nodes/SkipLayerGuidanceDiTSimple", + "built-in-nodes/SkipLayerGuidanceSD3", + "built-in-nodes/SplitSigmas", + "built-in-nodes/SplitSigmasDenoise", + "built-in-nodes/TCFG", + "built-in-nodes/TemporalScoreRescaling", + "built-in-nodes/TomePatchModel", + "built-in-nodes/USOStyleReference", + "built-in-nodes/VPScheduler", + "built-in-nodes/VideoLinearCFGGuidance", + "built-in-nodes/VideoTriangleCFGGuidance", + "built-in-nodes/sampling/ksampler" + ] + }, + { + "group": "Textgen", + "pages": [ + "built-in-nodes/TextGenerate", + "built-in-nodes/TextGenerateLTX2Prompt" + ] + }, + { + "group": "Training", + "pages": [ + "built-in-nodes/TrainLoraNode" + ] + }, + { + "group": "Transform", + "pages": [ + "built-in-nodes/ImageCrop", + "built-in-nodes/ImageCropV2", + "built-in-nodes/ImageScaleToMaxDimension", + "built-in-nodes/LatentCrop", + "built-in-nodes/LatentFlip", + "built-in-nodes/LatentRotate", + "built-in-nodes/PrimitiveBoundingBox", + "built-in-nodes/RepeatImageBatch", + "built-in-nodes/ResizeAndPadImage", + "built-in-nodes/ResizeImageMaskNode", + "built-in-nodes/SaveSVGNode" + ] + }, + "built-in-nodes/overview", + { + "group": "conditioning", + "pages": [ + { + "group": "Video Models", + "pages": [ + "built-in-nodes/conditioning/video-models/wan-vace-to-video" + ] + }, + "built-in-nodes/CLIPSetLastLayer", + "built-in-nodes/CLIPTextEncode", + "built-in-nodes/CLIPTextEncodeControlnet", + "built-in-nodes/CLIPTextEncodeFlux", + "built-in-nodes/CLIPTextEncodeHunyuanDiT", + "built-in-nodes/CLIPTextEncodeKandinsky5", + "built-in-nodes/CLIPTextEncodeLumina2", + "built-in-nodes/CLIPTextEncodePixArtAlpha", + "built-in-nodes/CLIPTextEncodeSDXL", + "built-in-nodes/CLIPTextEncodeSDXLRefiner", + "built-in-nodes/CLIPVisionEncode", + "built-in-nodes/ClipSetLastLayer", + "built-in-nodes/ClipTextEncode", + "built-in-nodes/ClipVisionEncode", + "built-in-nodes/ConditioningAverage", + "built-in-nodes/ConditioningCombine", + "built-in-nodes/ConditioningConcat", + "built-in-nodes/ConditioningSetArea", + "built-in-nodes/ConditioningSetAreaPercentage", + "built-in-nodes/ConditioningSetAreaPercentageVideo", + "built-in-nodes/ConditioningSetAreaStrength", + "built-in-nodes/ConditioningSetMask", + "built-in-nodes/ConditioningSetTimestepRange", + "built-in-nodes/ConditioningZeroOut", + "built-in-nodes/ControlNetApply", + "built-in-nodes/ControlNetApplyAdvanced", + "built-in-nodes/ControlNetApplySD3", + "built-in-nodes/ControlNetInpaintingAliMamaApply", + "built-in-nodes/CosmosPredict2ImageToVideoLatent", + "built-in-nodes/EmptyFlux2LatentImage", + "built-in-nodes/EmptyHunyuanLatentVideo", + "built-in-nodes/EmptyHunyuanVideo15Latent", + "built-in-nodes/Flux2Scheduler", + "built-in-nodes/FluxGuidance", + "built-in-nodes/FluxKontextImageScale", + "built-in-nodes/FluxKontextMultiReferenceLatentMethod", + "built-in-nodes/GLIGENTextBoxApply", + "built-in-nodes/GenerateTracks", + "built-in-nodes/HunyuanImageToVideo", + "built-in-nodes/InpaintModelConditioning", + "built-in-nodes/InstructPixToPixConditioning", + "built-in-nodes/Kandinsky5ImageToVideo", + "built-in-nodes/LTXVAddGuide", + "built-in-nodes/LTXVConditioning", + "built-in-nodes/LTXVCropGuides", + "built-in-nodes/LTXVImgToVideoInplace", + "built-in-nodes/LotusConditioning", + "built-in-nodes/ModelSamplingLTXV", + "built-in-nodes/NormalizeVideoLatentStart", + "built-in-nodes/ReferenceLatent", + "built-in-nodes/SD_4XUpscale_Conditioning", + "built-in-nodes/SV3D_Conditioning", + "built-in-nodes/SVD_img2vid_Conditioning", + "built-in-nodes/SetUnionControlNetType", + "built-in-nodes/StableZero123_Conditioning", + "built-in-nodes/StableZero123_Conditioning_Batched", + "built-in-nodes/StyleModelApply", + "built-in-nodes/T5TokenizerOptions", + "built-in-nodes/TextEncodeAceStepAudio", + "built-in-nodes/TextEncodeAceStepAudio1.5", + "built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo", + "built-in-nodes/TextEncodeQwenImageEdit", + "built-in-nodes/TextEncodeQwenImageEditPlus", + "built-in-nodes/TextEncodeZImageOmni", + "built-in-nodes/VAEDecodeHunyuan3D", + "built-in-nodes/Wan22FunControlToVideo", + "built-in-nodes/Wan22ImageToVideoLatent", + "built-in-nodes/WanAnimateToVideo", + "built-in-nodes/WanFirstLastFrameToVideo", + "built-in-nodes/WanFunControlToVideo", + "built-in-nodes/WanFunInpaintToVideo", + "built-in-nodes/WanHuMoImageToVideo", + "built-in-nodes/WanImageToVideo", + "built-in-nodes/WanInfiniteTalkToVideo", + "built-in-nodes/WanMoveConcatTrack", + "built-in-nodes/WanMoveTrackToVideo", + "built-in-nodes/WanMoveTracksFromCoords", + "built-in-nodes/WanMoveVisualizeTracks", + "built-in-nodes/WanPhantomSubjectToVideo", + "built-in-nodes/WanSoundImageToVideo", + "built-in-nodes/WanSoundImageToVideoExtend", + "built-in-nodes/WanTrackToVideo", + "built-in-nodes/WanVaceToVideo", + "built-in-nodes/unCLIPConditioning" + ] + } + ] + }, + { + "tab": "Development", + "pages": [ + "development/overview", + { + "group": "ComfyUI Server", + "icon": "code", + "pages": [ + "development/comfyui-server/comms_overview", + "development/comfyui-server/comms_messages", + "development/comfyui-server/comms_routes", + "development/comfyui-server/execution_model_inversion_guide", + "development/comfyui-server/api-key-integration" ] }, { @@ -678,11 +1639,17 @@ "pages": [ { "group": "Workflow JSON", - "pages": ["specs/workflow_json", "specs/workflow_json_0.4"] + "pages": [ + "specs/workflow_json", + "specs/workflow_json_0.4" + ] }, { "group": "Node Definitions", - "pages": ["specs/nodedef_json", "specs/nodedef_json_1_0"] + "pages": [ + "specs/nodedef_json", + "specs/nodedef_json_1_0" + ] } ] } @@ -737,7 +1704,10 @@ }, { "group": "Community", - "pages": ["community/contributing", "community/links"] + "pages": [ + "community/contributing", + "community/links" + ] } ] }, @@ -785,7 +1755,10 @@ { "group": "Comfy Cloud", "icon": "cloud", - "pages": ["zh-CN/get_started/cloud", "zh-CN/cloud/import-models"] + "pages": [ + "zh-CN/get_started/cloud", + "zh-CN/cloud/import-models" + ] }, "zh-CN/installation/install_custom_node", "zh-CN/get_started/first_generation" @@ -912,7 +1885,9 @@ }, { "group": "Ovis", - "pages": ["zh-CN/tutorials/image/ovis/ovis-image"] + "pages": [ + "zh-CN/tutorials/image/ovis/ovis-image" + ] }, { "group": "HiDream", @@ -933,7 +1908,9 @@ }, { "group": "3D", - "pages": ["zh-CN/tutorials/3d/hunyuan3D-2"] + "pages": [ + "zh-CN/tutorials/3d/hunyuan3D-2" + ] }, { "group": "视频", @@ -970,7 +1947,6 @@ } ] }, - { "group": "腾讯混元", "pages": [ @@ -1005,320 +1981,1274 @@ ] }, { - "group": "Utility", + "group": "Utility", + "pages": [ + "zh-CN/tutorials/utility/preprocessors", + "zh-CN/tutorials/utility/frame-interpolation", + "zh-CN/tutorials/utility/image-upscale", + "zh-CN/tutorials/utility/video-upscale" + ] + }, + { + "group": "合作伙伴节点", + "pages": [ + "zh-CN/tutorials/partner-nodes/overview", + "zh-CN/tutorials/partner-nodes/faq", + "zh-CN/tutorials/partner-nodes/pricing", + { + "group": "Black Forest Labs", + "pages": [ + "zh-CN/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", + "zh-CN/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" + ] + }, + { + "group": "ByteDance", + "pages": [ + "zh-CN/tutorials/partner-nodes/bytedance/seedream-5-lite" + ] + }, + { + "group": "Google", + "pages": [ + "zh-CN/tutorials/partner-nodes/google/gemini", + "zh-CN/tutorials/partner-nodes/google/nano-banana-pro" + ] + }, + { + "group": "Stability AI", + "pages": [ + "zh-CN/tutorials/partner-nodes/stability-ai/stable-image-ultra", + "zh-CN/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", + "zh-CN/tutorials/partner-nodes/stability-ai/stable-audio" + ] + }, + { + "group": "Ideogram", + "pages": [ + "zh-CN/tutorials/partner-nodes/ideogram/ideogram-v3" + ] + }, + { + "group": "Luma", + "pages": [ + "zh-CN/tutorials/partner-nodes/luma/luma-text-to-image", + "zh-CN/tutorials/partner-nodes/luma/luma-image-to-image", + "zh-CN/tutorials/partner-nodes/luma/luma-text-to-video", + "zh-CN/tutorials/partner-nodes/luma/luma-image-to-video" + ] + }, + { + "group": "Moonvalley", + "pages": [ + "zh-CN/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" + ] + }, + { + "group": "OpenAI", + "pages": [ + "zh-CN/tutorials/partner-nodes/openai/gpt-image-1", + "zh-CN/tutorials/partner-nodes/openai/dall-e-2", + "zh-CN/tutorials/partner-nodes/openai/dall-e-3", + "zh-CN/tutorials/partner-nodes/openai/chat" + ] + }, + { + "group": "Recraft", + "pages": [ + "zh-CN/tutorials/partner-nodes/recraft/recraft-v4", + "zh-CN/tutorials/partner-nodes/recraft/recraft-text-to-image" + ] + }, + { + "group": "Kling", + "pages": [ + "zh-CN/tutorials/partner-nodes/kling/kling-3-0", + "zh-CN/tutorials/partner-nodes/kling/kling-motion-control" + ] + }, + { + "group": "Runway", + "pages": [ + "zh-CN/tutorials/partner-nodes/runway/image-generation", + "zh-CN/tutorials/partner-nodes/runway/video-generation" + ] + }, + { + "group": "Rodin", + "pages": [ + "zh-CN/tutorials/partner-nodes/rodin/model-generation" + ] + }, + { + "group": "Tripo", + "pages": [ + "zh-CN/tutorials/partner-nodes/tripo/model-generation" + ] + }, + { + "group": "Hunyuan 3D", + "pages": [ + "zh-CN/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" + ] + }, + { + "group": "Meshy", + "pages": [ + "zh-CN/tutorials/partner-nodes/meshy/meshy-6" + ] + }, + { + "group": "Bria", + "pages": [ + "zh-CN/tutorials/partner-nodes/bria/fibo" + ] + } + ] + } + ] + }, + "changelog/index" + ] + }, + { + "tab": "内置节点", + "pages": [ + { + "group": "3D", + "pages": [ + "zh-CN/built-in-nodes/EmptyLatentHunyuan3Dv2", + "zh-CN/built-in-nodes/Hunyuan3Dv2Conditioning", + "zh-CN/built-in-nodes/Hunyuan3Dv2ConditioningMultiView", + "zh-CN/built-in-nodes/Load3D", + "zh-CN/built-in-nodes/Preview3D", + "zh-CN/built-in-nodes/SaveGLB", + "zh-CN/built-in-nodes/VoxelToMesh", + "zh-CN/built-in-nodes/VoxelToMeshBasic" + ] + }, + { + "group": "API Node", + "pages": [ + { + "group": "3D", + "pages": [ + { + "group": "Meshy", + "pages": [ + "zh-CN/built-in-nodes/MeshyAnimateModelNode", + "zh-CN/built-in-nodes/MeshyImageToModelNode", + "zh-CN/built-in-nodes/MeshyMultiImageToModelNode", + "zh-CN/built-in-nodes/MeshyRefineNode", + "zh-CN/built-in-nodes/MeshyRigModelNode", + "zh-CN/built-in-nodes/MeshyTextToModelNode", + "zh-CN/built-in-nodes/MeshyTextureNode" + ] + }, + { + "group": "Rodin", + "pages": [ + "zh-CN/built-in-nodes/Rodin3D_Detail", + "zh-CN/built-in-nodes/Rodin3D_Gen2", + "zh-CN/built-in-nodes/Rodin3D_Regular", + "zh-CN/built-in-nodes/Rodin3D_Sketch", + "zh-CN/built-in-nodes/Rodin3D_Smooth" + ] + }, + { + "group": "Tencent", + "pages": [ + "zh-CN/built-in-nodes/Tencent3DPartNode", + "zh-CN/built-in-nodes/Tencent3DTextureEditNode", + "zh-CN/built-in-nodes/TencentImageToModelNode", + "zh-CN/built-in-nodes/TencentModelTo3DUVNode", + "zh-CN/built-in-nodes/TencentTextToModelNode" + ] + }, + { + "group": "Tripo", + "pages": [ + "zh-CN/built-in-nodes/TripoConversionNode", + "zh-CN/built-in-nodes/TripoImageToModelNode", + "zh-CN/built-in-nodes/TripoMultiviewToModelNode", + "zh-CN/built-in-nodes/TripoRefineNode", + "zh-CN/built-in-nodes/TripoRetargetNode", + "zh-CN/built-in-nodes/TripoRigNode", + "zh-CN/built-in-nodes/TripoTextToModelNode", + "zh-CN/built-in-nodes/TripoTextureNode" + ] + } + ] + }, + { + "group": "Audio", + "pages": [ + { + "group": "Elevenlabs", + "pages": [ + "zh-CN/built-in-nodes/ElevenLabsAudioIsolation", + "zh-CN/built-in-nodes/ElevenLabsInstantVoiceClone", + "zh-CN/built-in-nodes/ElevenLabsSpeechToSpeech", + "zh-CN/built-in-nodes/ElevenLabsSpeechToText", + "zh-CN/built-in-nodes/ElevenLabsTextToDialogue", + "zh-CN/built-in-nodes/ElevenLabsTextToSoundEffects", + "zh-CN/built-in-nodes/ElevenLabsTextToSpeech", + "zh-CN/built-in-nodes/ElevenLabsVoiceSelector" + ] + }, + { + "group": "Stability Ai", + "pages": [ + "zh-CN/built-in-nodes/StabilityAudioInpaint", + "zh-CN/built-in-nodes/StabilityAudioToAudio" + ] + } + ] + }, + { + "group": "Image", + "pages": [ + { + "group": "Bfl", + "pages": [ + "zh-CN/built-in-nodes/FluxProExpandNode", + "zh-CN/built-in-nodes/FluxProFillNode", + "zh-CN/built-in-nodes/FluxProUltraImageNode" + ] + }, + { + "group": "Bria", + "pages": [ + "zh-CN/built-in-nodes/BriaImageEditNode", + "zh-CN/built-in-nodes/BriaRemoveImageBackground" + ] + }, + { + "group": "Bytedance", + "pages": [ + "zh-CN/built-in-nodes/ByteDanceImageNode", + "zh-CN/built-in-nodes/ByteDanceSeedreamNode" + ] + }, + { + "group": "Gemini", + "pages": [ + "zh-CN/built-in-nodes/GeminiImage", + "zh-CN/built-in-nodes/GeminiImage2Node", + "zh-CN/built-in-nodes/GeminiImageNode" + ] + }, + { + "group": "Grok", + "pages": [ + "zh-CN/built-in-nodes/GrokImageEditNode", + "zh-CN/built-in-nodes/GrokImageNode" + ] + }, + { + "group": "Hitpaw", + "pages": [ + "zh-CN/built-in-nodes/HitPawGeneralImageEnhance" + ] + }, + { + "group": "Ideogram", + "pages": [ + "zh-CN/built-in-nodes/IdeogramV1", + "zh-CN/built-in-nodes/IdeogramV2", + "zh-CN/built-in-nodes/IdeogramV3" + ] + }, + { + "group": "Kling", + "pages": [ + "zh-CN/built-in-nodes/KlingImageGenerationNode", + "zh-CN/built-in-nodes/KlingOmniProImageNode", + "zh-CN/built-in-nodes/KlingVirtualTryOnNode" + ] + }, + { + "group": "Luma", + "pages": [ + "zh-CN/built-in-nodes/LumaConceptsNode", + "zh-CN/built-in-nodes/LumaImageModifyNode", + "zh-CN/built-in-nodes/LumaReferenceNode" + ] + }, + { + "group": "Magnific", + "pages": [ + "zh-CN/built-in-nodes/MagnificImageRelightNode", + "zh-CN/built-in-nodes/MagnificImageSkinEnhancerNode", + "zh-CN/built-in-nodes/MagnificImageStyleTransferNode", + "zh-CN/built-in-nodes/MagnificImageUpscalerCreativeNode", + "zh-CN/built-in-nodes/MagnificImageUpscalerPreciseV2Node" + ] + }, + { + "group": "Openai", + "pages": [ + "zh-CN/built-in-nodes/OpenAIDalle2", + "zh-CN/built-in-nodes/OpenAIDalle3", + "zh-CN/built-in-nodes/OpenAIGPTImage1" + ] + }, + { + "group": "Recraft", + "pages": [ + "zh-CN/built-in-nodes/RecraftColorRGB", + "zh-CN/built-in-nodes/RecraftControls", + "zh-CN/built-in-nodes/RecraftCreateStyleNode", + "zh-CN/built-in-nodes/RecraftCreativeUpscaleNode", + "zh-CN/built-in-nodes/RecraftCrispUpscaleNode", + "zh-CN/built-in-nodes/RecraftImageInpaintingNode", + "zh-CN/built-in-nodes/RecraftImageToImageNode", + "zh-CN/built-in-nodes/RecraftRemoveBackgroundNode", + "zh-CN/built-in-nodes/RecraftReplaceBackgroundNode", + "zh-CN/built-in-nodes/RecraftStyleV3DigitalIllustration", + "zh-CN/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", + "zh-CN/built-in-nodes/RecraftStyleV3LogoRaster", + "zh-CN/built-in-nodes/RecraftStyleV3RealisticImage", + "zh-CN/built-in-nodes/RecraftStyleV3VectorIllustrationNode", + "zh-CN/built-in-nodes/RecraftTextToImageNode", + "zh-CN/built-in-nodes/RecraftTextToVectorNode", + "zh-CN/built-in-nodes/RecraftV4TextToImageNode", + "zh-CN/built-in-nodes/RecraftV4TextToVectorNode", + "zh-CN/built-in-nodes/RecraftVectorizeImageNode" + ] + }, + { + "group": "Runway", + "pages": [ + "zh-CN/built-in-nodes/RunwayTextToImageNode" + ] + }, + { + "group": "Stability Ai", + "pages": [ + "zh-CN/built-in-nodes/StabilityStableImageSD_3_5Node", + "zh-CN/built-in-nodes/StabilityStableImageUltraNode", + "zh-CN/built-in-nodes/StabilityTextToAudio", + "zh-CN/built-in-nodes/StabilityUpscaleConservativeNode", + "zh-CN/built-in-nodes/StabilityUpscaleCreativeNode", + "zh-CN/built-in-nodes/StabilityUpscaleFastNode" + ] + }, + { + "group": "Topaz", + "pages": [ + "zh-CN/built-in-nodes/TopazImageEnhance" + ] + }, + { + "group": "Wan", + "pages": [ + "zh-CN/built-in-nodes/WanImageToImageApi", + "zh-CN/built-in-nodes/WanTextToImageApi" + ] + }, + { + "group": "Wavespeed", + "pages": [ + "zh-CN/built-in-nodes/WavespeedImageUpscaleNode" + ] + } + ] + }, + { + "group": "Text", "pages": [ - "zh-CN/tutorials/utility/preprocessors", - "zh-CN/tutorials/utility/frame-interpolation", - "zh-CN/tutorials/utility/image-upscale", - "zh-CN/tutorials/utility/video-upscale" + { + "group": "Gemini", + "pages": [ + "zh-CN/built-in-nodes/GeminiInputFiles", + "zh-CN/built-in-nodes/GeminiNode" + ] + }, + { + "group": "Openai", + "pages": [ + "zh-CN/built-in-nodes/OpenAIChatConfig", + "zh-CN/built-in-nodes/OpenAIChatNode", + "zh-CN/built-in-nodes/OpenAIInputFiles" + ] + } ] }, { - "group": "合作伙伴节点", + "group": "Video", "pages": [ - "zh-CN/tutorials/partner-nodes/overview", - "zh-CN/tutorials/partner-nodes/faq", - "zh-CN/tutorials/partner-nodes/pricing", { - "group": "Black Forest Labs", + "group": "Bria", "pages": [ - "zh-CN/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", - "zh-CN/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" + "zh-CN/built-in-nodes/BriaRemoveVideoBackground" ] }, { - "group": "ByteDance", + "group": "Bytedance", "pages": [ - "zh-CN/tutorials/partner-nodes/bytedance/seedream-5-lite" + "zh-CN/built-in-nodes/ByteDanceFirstLastFrameNode", + "zh-CN/built-in-nodes/ByteDanceImageReferenceNode", + "zh-CN/built-in-nodes/ByteDanceImageToVideoNode", + "zh-CN/built-in-nodes/ByteDanceTextToVideoNode" ] }, { - "group": "Google", + "group": "Grok", "pages": [ - "zh-CN/tutorials/partner-nodes/google/gemini", - "zh-CN/tutorials/partner-nodes/google/nano-banana-pro" + "zh-CN/built-in-nodes/GrokVideoEditNode", + "zh-CN/built-in-nodes/GrokVideoNode" ] }, { - "group": "Stability AI", + "group": "Hitpaw", "pages": [ - "zh-CN/tutorials/partner-nodes/stability-ai/stable-image-ultra", - "zh-CN/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", - "zh-CN/tutorials/partner-nodes/stability-ai/stable-audio" + "zh-CN/built-in-nodes/HitPawVideoEnhance" ] }, { - "group": "Ideogram", + "group": "Kling", "pages": [ - "zh-CN/tutorials/partner-nodes/ideogram/ideogram-v3" + "zh-CN/built-in-nodes/KlingCameraControlI2VNode", + "zh-CN/built-in-nodes/KlingCameraControlT2VNode", + "zh-CN/built-in-nodes/KlingCameraControls", + "zh-CN/built-in-nodes/KlingDualCharacterVideoEffectNode", + "zh-CN/built-in-nodes/KlingFirstLastFrameNode", + "zh-CN/built-in-nodes/KlingImage2VideoNode", + "zh-CN/built-in-nodes/KlingImageToVideoWithAudio", + "zh-CN/built-in-nodes/KlingLipSyncAudioToVideoNode", + "zh-CN/built-in-nodes/KlingLipSyncTextToVideoNode", + "zh-CN/built-in-nodes/KlingMotionControl", + "zh-CN/built-in-nodes/KlingOmniProEditVideoNode", + "zh-CN/built-in-nodes/KlingOmniProFirstLastFrameNode", + "zh-CN/built-in-nodes/KlingOmniProImageToVideoNode", + "zh-CN/built-in-nodes/KlingOmniProTextToVideoNode", + "zh-CN/built-in-nodes/KlingOmniProVideoToVideoNode", + "zh-CN/built-in-nodes/KlingSingleImageVideoEffectNode", + "zh-CN/built-in-nodes/KlingStartEndFrameNode", + "zh-CN/built-in-nodes/KlingTextToVideoNode", + "zh-CN/built-in-nodes/KlingTextToVideoWithAudio", + "zh-CN/built-in-nodes/KlingVideoExtendNode", + "zh-CN/built-in-nodes/KlingVideoNode" ] }, { - "group": "Luma", + "group": "Ltxv", "pages": [ - "zh-CN/tutorials/partner-nodes/luma/luma-text-to-image", - "zh-CN/tutorials/partner-nodes/luma/luma-image-to-image", - "zh-CN/tutorials/partner-nodes/luma/luma-text-to-video", - "zh-CN/tutorials/partner-nodes/luma/luma-image-to-video" + "zh-CN/built-in-nodes/LtxvApiImageToVideo", + "zh-CN/built-in-nodes/LtxvApiTextToVideo" ] }, { - "group": "Moonvalley", + "group": "Luma", "pages": [ - "zh-CN/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" + "zh-CN/built-in-nodes/LumaImageNode", + "zh-CN/built-in-nodes/LumaImageToVideoNode", + "zh-CN/built-in-nodes/LumaVideoNode" ] }, { - "group": "OpenAI", + "group": "Minimax", "pages": [ - "zh-CN/tutorials/partner-nodes/openai/gpt-image-1", - "zh-CN/tutorials/partner-nodes/openai/dall-e-2", - "zh-CN/tutorials/partner-nodes/openai/dall-e-3", - "zh-CN/tutorials/partner-nodes/openai/chat" + "zh-CN/built-in-nodes/MinimaxHailuoVideoNode", + "zh-CN/built-in-nodes/MinimaxImageToVideoNode", + "zh-CN/built-in-nodes/MinimaxSubjectToVideoNode", + "zh-CN/built-in-nodes/MinimaxTextToVideoNode" ] }, { - "group": "Recraft", + "group": "Moonvalley Marey", "pages": [ - "zh-CN/tutorials/partner-nodes/recraft/recraft-v4", - "zh-CN/tutorials/partner-nodes/recraft/recraft-text-to-image" + "zh-CN/built-in-nodes/MoonvalleyImg2VideoNode", + "zh-CN/built-in-nodes/MoonvalleyTxt2VideoNode", + "zh-CN/built-in-nodes/MoonvalleyVideo2VideoNode" ] }, { - "group": "Kling", + "group": "Pixverse", "pages": [ - "zh-CN/tutorials/partner-nodes/kling/kling-3-0", - "zh-CN/tutorials/partner-nodes/kling/kling-motion-control" + "zh-CN/built-in-nodes/PixverseImageToVideoNode", + "zh-CN/built-in-nodes/PixverseTemplateNode", + "zh-CN/built-in-nodes/PixverseTextToVideoNode", + "zh-CN/built-in-nodes/PixverseTransitionVideoNode" ] }, { "group": "Runway", "pages": [ - "zh-CN/tutorials/partner-nodes/runway/image-generation", - "zh-CN/tutorials/partner-nodes/runway/video-generation" + "zh-CN/built-in-nodes/RunwayFirstLastFrameNode", + "zh-CN/built-in-nodes/RunwayImageToVideoNodeGen3a", + "zh-CN/built-in-nodes/RunwayImageToVideoNodeGen4" ] }, { - "group": "Rodin", + "group": "Sora", "pages": [ - "zh-CN/tutorials/partner-nodes/rodin/model-generation" + "zh-CN/built-in-nodes/OpenAIVideoSora2" ] }, { - "group": "Tripo", + "group": "Topaz", "pages": [ - "zh-CN/tutorials/partner-nodes/tripo/model-generation" + "zh-CN/built-in-nodes/TopazVideoEnhance" ] }, { - "group": "Hunyuan 3D", + "group": "Veo", "pages": [ - "zh-CN/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" + "zh-CN/built-in-nodes/Veo3FirstLastFrameNode", + "zh-CN/built-in-nodes/Veo3VideoGenerationNode", + "zh-CN/built-in-nodes/VeoVideoGenerationNode" ] }, { - "group": "Meshy", + "group": "Vidu", "pages": [ - "zh-CN/tutorials/partner-nodes/meshy/meshy-6" + "zh-CN/built-in-nodes/Vidu2ImageToVideoNode", + "zh-CN/built-in-nodes/Vidu2ReferenceVideoNode", + "zh-CN/built-in-nodes/Vidu2StartEndToVideoNode", + "zh-CN/built-in-nodes/Vidu2TextToVideoNode", + "zh-CN/built-in-nodes/Vidu3ImageToVideoNode", + "zh-CN/built-in-nodes/Vidu3StartEndToVideoNode", + "zh-CN/built-in-nodes/Vidu3TextToVideoNode", + "zh-CN/built-in-nodes/ViduExtendVideoNode", + "zh-CN/built-in-nodes/ViduImageToVideoNode", + "zh-CN/built-in-nodes/ViduMultiFrameVideoNode", + "zh-CN/built-in-nodes/ViduReferenceVideoNode", + "zh-CN/built-in-nodes/ViduStartEndToVideoNode", + "zh-CN/built-in-nodes/ViduTextToVideoNode" ] }, { - "group": "Bria", + "group": "Wan", "pages": [ - "zh-CN/tutorials/partner-nodes/bria/fibo" + "zh-CN/built-in-nodes/WanImageToVideoApi", + "zh-CN/built-in-nodes/WanReferenceVideoApi", + "zh-CN/built-in-nodes/WanTextToVideoApi" + ] + }, + { + "group": "Wavespeed", + "pages": [ + "zh-CN/built-in-nodes/WavespeedFlashVSRNode" ] } ] } ] }, - "changelog/index" - ] - }, - { - "tab": "内置节点", - "pages": [ - "zh-CN/built-in-nodes/overview", { - "group": "条件", + "group": "Audio", "pages": [ - "zh-CN/built-in-nodes/ClipSetLastLayer", - "zh-CN/built-in-nodes/ClipTextEncode", - "zh-CN/built-in-nodes/ClipVisionEncode", - { - "group": "视频模型", - "pages": [ - "zh-CN/built-in-nodes/conditioning/video-models/wan-vace-to-video" - ] - } + "zh-CN/built-in-nodes/AudioAdjustVolume", + "zh-CN/built-in-nodes/AudioConcat", + "zh-CN/built-in-nodes/AudioEqualizer3Band", + "zh-CN/built-in-nodes/AudioMerge", + "zh-CN/built-in-nodes/ConditioningStableAudio", + "zh-CN/built-in-nodes/EmptyAceStep1.5LatentAudio", + "zh-CN/built-in-nodes/EmptyAceStepLatentAudio", + "zh-CN/built-in-nodes/EmptyAudio", + "zh-CN/built-in-nodes/EmptyLatentAudio", + "zh-CN/built-in-nodes/JoinAudioChannels", + "zh-CN/built-in-nodes/LTXVAudioVAEDecode", + "zh-CN/built-in-nodes/LTXVAudioVAEEncode", + "zh-CN/built-in-nodes/LTXVAudioVAELoader", + "zh-CN/built-in-nodes/LTXVEmptyLatentAudio", + "zh-CN/built-in-nodes/LoadAudio", + "zh-CN/built-in-nodes/PreviewAudio", + "zh-CN/built-in-nodes/RecordAudio", + "zh-CN/built-in-nodes/ReferenceTimbreAudio", + "zh-CN/built-in-nodes/SaveAudio", + "zh-CN/built-in-nodes/SaveAudioMP3", + "zh-CN/built-in-nodes/SaveAudioOpus", + "zh-CN/built-in-nodes/SplitAudioChannels", + "zh-CN/built-in-nodes/TrimAudioDuration", + "zh-CN/built-in-nodes/VAEDecodeAudio", + "zh-CN/built-in-nodes/VAEDecodeAudioTiled", + "zh-CN/built-in-nodes/VAEEncodeAudio" ] }, { - "group": "图像", - "pages": ["zh-CN/built-in-nodes/Canny"] + "group": "Camera", + "pages": [ + "zh-CN/built-in-nodes/WanCameraEmbedding" + ] }, { - "group": "加载器", + "group": "Context", "pages": [ - "zh-CN/built-in-nodes/CheckpointLoaderSimple", - "zh-CN/built-in-nodes/ClipLoader", - "zh-CN/built-in-nodes/ClipVisionLoader" + "zh-CN/built-in-nodes/ContextWindowsManual", + "zh-CN/built-in-nodes/WanContextWindowsManual" ] }, { - "group": "潜变量", - "pages": ["zh-CN/built-in-nodes/latent/video/trim-video-latent"] + "group": "Logic", + "pages": [ + "zh-CN/built-in-nodes/AutogrowNamesTestNode", + "zh-CN/built-in-nodes/AutogrowPrefixTestNode", + "zh-CN/built-in-nodes/ComboOptionTestNode", + "zh-CN/built-in-nodes/ComfySoftSwitchNode", + "zh-CN/built-in-nodes/ComfySwitchNode", + "zh-CN/built-in-nodes/ConvertStringToComboNode", + "zh-CN/built-in-nodes/CreateList", + "zh-CN/built-in-nodes/InvertBooleanNode" + ] }, { - "group": "高级", + "group": "Mask", "pages": [ - "zh-CN/built-in-nodes/ClipMergeSimple", - "zh-CN/built-in-nodes/ClipSave", - { - "group": "条件", - "pages": [ - "zh-CN/built-in-nodes/ClipTextEncodeFlux", - "zh-CN/built-in-nodes/ClipTextEncodeHunyuanDit", - "zh-CN/built-in-nodes/ClipTextEncodeSdxl", - "zh-CN/built-in-nodes/ClipTextEncodeSdxlRefiner" - ] - } + "zh-CN/built-in-nodes/BatchImagesMasksLatentsNode", + "zh-CN/built-in-nodes/CropMask", + "zh-CN/built-in-nodes/FeatherMask", + "zh-CN/built-in-nodes/GrowMask", + "zh-CN/built-in-nodes/ImageColorToMask", + "zh-CN/built-in-nodes/InvertMask", + "zh-CN/built-in-nodes/JoinImageWithAlpha", + "zh-CN/built-in-nodes/LoadImageMask", + "zh-CN/built-in-nodes/MaskComposite", + "zh-CN/built-in-nodes/MaskPreview", + "zh-CN/built-in-nodes/PorterDuffImageComposite", + "zh-CN/built-in-nodes/SolidMask", + "zh-CN/built-in-nodes/SplitImageWithAlpha", + "zh-CN/built-in-nodes/ThresholdMask" ] }, { - "group": "采样", + "group": "Textgen", "pages": [ - "zh-CN/built-in-nodes/sampling/ksampler", - { - "group": "自定义采样", - "pages": ["zh-CN/built-in-nodes/BasicScheduler"] - } + "zh-CN/built-in-nodes/TextGenerate", + "zh-CN/built-in-nodes/TextGenerateLTX2Prompt" ] }, { - "group": "3D", - "pages": ["zh-CN/built-in-nodes/Load3D"] + "group": "Training", + "pages": [ + "zh-CN/built-in-nodes/TrainLoraNode" + ] + }, + { + "group": "Transform", + "pages": [ + "zh-CN/built-in-nodes/ImageCrop", + "zh-CN/built-in-nodes/ImageCropV2", + "zh-CN/built-in-nodes/ImageScaleToMaxDimension", + "zh-CN/built-in-nodes/LatentCrop", + "zh-CN/built-in-nodes/LatentFlip", + "zh-CN/built-in-nodes/LatentRotate", + "zh-CN/built-in-nodes/PrimitiveBoundingBox", + "zh-CN/built-in-nodes/RepeatImageBatch", + "zh-CN/built-in-nodes/ResizeAndPadImage", + "zh-CN/built-in-nodes/ResizeImageMaskNode", + "zh-CN/built-in-nodes/SaveSVGNode" + ] + }, + "zh-CN/built-in-nodes/overview", + { + "group": "加载器", + "pages": [ + "zh-CN/built-in-nodes/AudioEncoderEncode", + "zh-CN/built-in-nodes/AudioEncoderLoader", + "zh-CN/built-in-nodes/CLIPLoader", + "zh-CN/built-in-nodes/CLIPTextEncodeHiDream", + "zh-CN/built-in-nodes/CLIPVisionLoader", + "zh-CN/built-in-nodes/CheckpointLoader", + "zh-CN/built-in-nodes/CheckpointLoaderSimple", + "zh-CN/built-in-nodes/ClipLoader", + "zh-CN/built-in-nodes/ClipVisionLoader", + "zh-CN/built-in-nodes/ControlNetLoader", + "zh-CN/built-in-nodes/DiffControlNetLoader", + "zh-CN/built-in-nodes/DiffusersLoader", + "zh-CN/built-in-nodes/DualCLIPLoader", + "zh-CN/built-in-nodes/EmptySD3LatentImage", + "zh-CN/built-in-nodes/GLIGENLoader", + "zh-CN/built-in-nodes/HypernetworkLoader", + "zh-CN/built-in-nodes/ImageOnlyCheckpointLoader", + "zh-CN/built-in-nodes/ImageUpscaleWithModel", + "zh-CN/built-in-nodes/LTXAVTextEncoderLoader", + "zh-CN/built-in-nodes/LatentUpscaleModelLoader", + "zh-CN/built-in-nodes/LoraLoaderBypass", + "zh-CN/built-in-nodes/LoraLoaderBypassModelOnly", + "zh-CN/built-in-nodes/LoraModelLoader", + "zh-CN/built-in-nodes/LossGraphNode", + "zh-CN/built-in-nodes/ModelPatchLoader", + "zh-CN/built-in-nodes/QuadrupleCLIPLoader", + "zh-CN/built-in-nodes/QwenImageDiffsynthControlnet", + "zh-CN/built-in-nodes/SaveLoRA", + "zh-CN/built-in-nodes/StyleModelLoader", + "zh-CN/built-in-nodes/TripleCLIPLoader", + "zh-CN/built-in-nodes/UNETLoader", + "zh-CN/built-in-nodes/UpscaleModelLoader", + "zh-CN/built-in-nodes/VAELoader", + "zh-CN/built-in-nodes/ZImageFunControlnet", + "zh-CN/built-in-nodes/unCLIPCheckpointLoader" + ] }, { "group": "合作伙伴节点", "pages": [ { - "group": "图像", + "group": "Video", "pages": [ { - "group": "BFL", + "group": "Google", "pages": [ - "zh-CN/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image" + "zh-CN/built-in-nodes/partner-node/video/google/google-veo2-video" ] }, { - "group": "Luma", + "group": "Kling", "pages": [ - "zh-CN/built-in-nodes/partner-node/image/luma/luma-reference", - "zh-CN/built-in-nodes/partner-node/image/luma/luma-text-to-image", - "zh-CN/built-in-nodes/partner-node/image/luma/luma-image-to-image" + "zh-CN/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", + "zh-CN/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v", + "zh-CN/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-controls", + "zh-CN/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video", + "zh-CN/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video", + "zh-CN/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video" ] }, { - "group": "Recraft", + "group": "Luma", "pages": [ - "zh-CN/built-in-nodes/partner-node/image/recraft/save-svg", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-style-realistic-image", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-text-to-vector", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-creative-upscale", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-image-to-image", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-crisp-upscale", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-color-rgb", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-text-to-image", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-image-inpainting", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-vectorize-image", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-style-digital-illustration", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-remove-background", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-controls", - "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-replace-background" + "zh-CN/built-in-nodes/partner-node/video/luma/luma-concepts", + "zh-CN/built-in-nodes/partner-node/video/luma/luma-image-to-video", + "zh-CN/built-in-nodes/partner-node/video/luma/luma-text-to-video" ] }, { - "group": "Ideogram", + "group": "MiniMax", "pages": [ - "zh-CN/built-in-nodes/partner-node/image/ideogram/ideogram-v2", - "zh-CN/built-in-nodes/partner-node/image/ideogram/ideogram-v3", - "zh-CN/built-in-nodes/partner-node/image/ideogram/ideogram-v1" + "zh-CN/built-in-nodes/partner-node/video/minimax/minimax-image-to-video", + "zh-CN/built-in-nodes/partner-node/video/minimax/minimax-text-to-video" ] }, { - "group": "Stability AI", + "group": "Pika", "pages": [ - "zh-CN/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra", - "zh-CN/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image" + "zh-CN/built-in-nodes/partner-node/video/pika/pika-image-to-video", + "zh-CN/built-in-nodes/partner-node/video/pika/pika-scenes", + "zh-CN/built-in-nodes/partner-node/video/pika/pika-text-to-video" ] }, { - "group": "OpenAI", + "group": "PixVerse", "pages": [ - "zh-CN/built-in-nodes/partner-node/image/openai/openai-gpt-image1", - "zh-CN/built-in-nodes/partner-node/image/openai/openai-dalle2", - "zh-CN/built-in-nodes/partner-node/image/openai/openai-dalle3" + "zh-CN/built-in-nodes/partner-node/video/pixverse/pixverse-image-to-video", + "zh-CN/built-in-nodes/partner-node/video/pixverse/pixverse-template", + "zh-CN/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", + "zh-CN/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video" ] } ] }, { - "group": "Video", + "group": "图像", "pages": [ { - "group": "MiniMax", + "group": "BFL", "pages": [ - "zh-CN/built-in-nodes/partner-node/video/minimax/minimax-image-to-video", - "zh-CN/built-in-nodes/partner-node/video/minimax/minimax-text-to-video" + "zh-CN/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image" ] }, { - "group": "Google", + "group": "Ideogram", "pages": [ - "zh-CN/built-in-nodes/partner-node/video/google/google-veo2-video" + "zh-CN/built-in-nodes/partner-node/image/ideogram/ideogram-v1", + "zh-CN/built-in-nodes/partner-node/image/ideogram/ideogram-v2", + "zh-CN/built-in-nodes/partner-node/image/ideogram/ideogram-v3" ] }, { - "group": "Kling", + "group": "Luma", "pages": [ - "zh-CN/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-controls", - "zh-CN/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video", - "zh-CN/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", - "zh-CN/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video", - "zh-CN/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video", - "zh-CN/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v" + "zh-CN/built-in-nodes/partner-node/image/luma/luma-image-to-image", + "zh-CN/built-in-nodes/partner-node/image/luma/luma-reference", + "zh-CN/built-in-nodes/partner-node/image/luma/luma-text-to-image" ] }, { - "group": "Luma", + "group": "OpenAI", "pages": [ - "zh-CN/built-in-nodes/partner-node/video/luma/luma-text-to-video", - "zh-CN/built-in-nodes/partner-node/video/luma/luma-image-to-video", - "zh-CN/built-in-nodes/partner-node/video/luma/luma-concepts" + "zh-CN/built-in-nodes/partner-node/image/openai/openai-dalle2", + "zh-CN/built-in-nodes/partner-node/image/openai/openai-dalle3", + "zh-CN/built-in-nodes/partner-node/image/openai/openai-gpt-image1" ] }, { - "group": "Pika", + "group": "Recraft", "pages": [ - "zh-CN/built-in-nodes/partner-node/video/pika/pika-text-to-video", - "zh-CN/built-in-nodes/partner-node/video/pika/pika-scenes", - "zh-CN/built-in-nodes/partner-node/video/pika/pika-image-to-video" + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-color-rgb", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-controls", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-creative-upscale", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-crisp-upscale", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-image-inpainting", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-image-to-image", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-remove-background", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-replace-background", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-style-digital-illustration", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-style-realistic-image", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-text-to-image", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-text-to-vector", + "zh-CN/built-in-nodes/partner-node/image/recraft/recraft-vectorize-image", + "zh-CN/built-in-nodes/partner-node/image/recraft/save-svg" ] }, { - "group": "PixVerse", + "group": "Stability AI", "pages": [ - "zh-CN/built-in-nodes/partner-node/video/pixverse/pixverse-template", - "zh-CN/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", - "zh-CN/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video", - "zh-CN/built-in-nodes/partner-node/video/pixverse/pixverse-image-to-video" + "zh-CN/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image", + "zh-CN/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra" ] } ] } ] + }, + { + "group": "图像", + "pages": [ + "zh-CN/built-in-nodes/AddTextPrefix", + "zh-CN/built-in-nodes/AddTextSuffix", + "zh-CN/built-in-nodes/AdjustBrightness", + "zh-CN/built-in-nodes/AdjustContrast", + "zh-CN/built-in-nodes/BatchImagesNode", + "zh-CN/built-in-nodes/BatchLatentsNode", + "zh-CN/built-in-nodes/BatchMasksNode", + "zh-CN/built-in-nodes/Canny", + "zh-CN/built-in-nodes/CenterCropImages", + "zh-CN/built-in-nodes/CreateVideo", + "zh-CN/built-in-nodes/EmptyImage", + "zh-CN/built-in-nodes/GLSLShader", + "zh-CN/built-in-nodes/GetImageSize", + "zh-CN/built-in-nodes/GetVideoComponents", + "zh-CN/built-in-nodes/ImageAddNoise", + "zh-CN/built-in-nodes/ImageBatch", + "zh-CN/built-in-nodes/ImageBlend", + "zh-CN/built-in-nodes/ImageBlur", + "zh-CN/built-in-nodes/ImageCompare", + "zh-CN/built-in-nodes/ImageDeduplication", + "zh-CN/built-in-nodes/ImageFlip", + "zh-CN/built-in-nodes/ImageGrid", + "zh-CN/built-in-nodes/ImageInvert", + "zh-CN/built-in-nodes/ImagePadForOutpaint", + "zh-CN/built-in-nodes/ImageQuantize", + "zh-CN/built-in-nodes/ImageRGBToYUV", + "zh-CN/built-in-nodes/ImageRotate", + "zh-CN/built-in-nodes/ImageScale", + "zh-CN/built-in-nodes/ImageScaleBy", + "zh-CN/built-in-nodes/ImageScaleToTotalPixels", + "zh-CN/built-in-nodes/ImageSharpen", + "zh-CN/built-in-nodes/ImageStitch", + "zh-CN/built-in-nodes/ImageToMask", + "zh-CN/built-in-nodes/ImageYUVToRGB", + "zh-CN/built-in-nodes/LTXVConcatAVLatent", + "zh-CN/built-in-nodes/LTXVPreprocess", + "zh-CN/built-in-nodes/LoadImage", + "zh-CN/built-in-nodes/LoadImageDataSetFromFolder", + "zh-CN/built-in-nodes/LoadImageOutput", + "zh-CN/built-in-nodes/LoadImageTextDataSetFromFolder", + "zh-CN/built-in-nodes/LoadTrainingDataset", + "zh-CN/built-in-nodes/LoadVideo", + "zh-CN/built-in-nodes/LoraLoader", + "zh-CN/built-in-nodes/LoraLoaderModelOnly", + "zh-CN/built-in-nodes/MakeTrainingDataset", + "zh-CN/built-in-nodes/MaskToImage", + "zh-CN/built-in-nodes/MergeImageLists", + "zh-CN/built-in-nodes/MergeTextLists", + "zh-CN/built-in-nodes/Morphology", + "zh-CN/built-in-nodes/NormalizeImages", + "zh-CN/built-in-nodes/PreviewImage", + "zh-CN/built-in-nodes/RandomCropImages", + "zh-CN/built-in-nodes/RebatchImages", + "zh-CN/built-in-nodes/ReplaceText", + "zh-CN/built-in-nodes/ResizeImagesByLongerEdge", + "zh-CN/built-in-nodes/ResizeImagesByShorterEdge", + "zh-CN/built-in-nodes/ResolutionBucket", + "zh-CN/built-in-nodes/SaveAnimatedPNG", + "zh-CN/built-in-nodes/SaveAnimatedWEBP", + "zh-CN/built-in-nodes/SaveImage", + "zh-CN/built-in-nodes/SaveImageDataSetToFolder", + "zh-CN/built-in-nodes/SaveImageTextDataSetToFolder", + "zh-CN/built-in-nodes/SaveTrainingDataset", + "zh-CN/built-in-nodes/SaveVideo", + "zh-CN/built-in-nodes/SaveWEBM", + "zh-CN/built-in-nodes/ShuffleDataset", + "zh-CN/built-in-nodes/ShuffleImageTextDataset", + "zh-CN/built-in-nodes/StripWhitespace", + "zh-CN/built-in-nodes/TextToLowercase", + "zh-CN/built-in-nodes/TextToUppercase", + "zh-CN/built-in-nodes/TruncateText", + "zh-CN/built-in-nodes/Video Slice", + "zh-CN/built-in-nodes/WebcamCapture" + ] + }, + { + "group": "条件", + "pages": [ + "zh-CN/built-in-nodes/CLIPSetLastLayer", + "zh-CN/built-in-nodes/CLIPTextEncode", + "zh-CN/built-in-nodes/CLIPTextEncodeControlnet", + "zh-CN/built-in-nodes/CLIPTextEncodeFlux", + "zh-CN/built-in-nodes/CLIPTextEncodeHunyuanDiT", + "zh-CN/built-in-nodes/CLIPTextEncodeKandinsky5", + "zh-CN/built-in-nodes/CLIPTextEncodeLumina2", + "zh-CN/built-in-nodes/CLIPTextEncodePixArtAlpha", + "zh-CN/built-in-nodes/CLIPTextEncodeSDXL", + "zh-CN/built-in-nodes/CLIPTextEncodeSDXLRefiner", + "zh-CN/built-in-nodes/CLIPVisionEncode", + "zh-CN/built-in-nodes/ClipSetLastLayer", + "zh-CN/built-in-nodes/ClipTextEncode", + "zh-CN/built-in-nodes/ClipVisionEncode", + "zh-CN/built-in-nodes/ConditioningAverage", + "zh-CN/built-in-nodes/ConditioningCombine", + "zh-CN/built-in-nodes/ConditioningConcat", + "zh-CN/built-in-nodes/ConditioningSetArea", + "zh-CN/built-in-nodes/ConditioningSetAreaPercentage", + "zh-CN/built-in-nodes/ConditioningSetAreaPercentageVideo", + "zh-CN/built-in-nodes/ConditioningSetAreaStrength", + "zh-CN/built-in-nodes/ConditioningSetMask", + "zh-CN/built-in-nodes/ConditioningSetTimestepRange", + "zh-CN/built-in-nodes/ConditioningZeroOut", + "zh-CN/built-in-nodes/ControlNetApply", + "zh-CN/built-in-nodes/ControlNetApplyAdvanced", + "zh-CN/built-in-nodes/ControlNetApplySD3", + "zh-CN/built-in-nodes/ControlNetInpaintingAliMamaApply", + "zh-CN/built-in-nodes/CosmosPredict2ImageToVideoLatent", + "zh-CN/built-in-nodes/EmptyFlux2LatentImage", + "zh-CN/built-in-nodes/EmptyHunyuanLatentVideo", + "zh-CN/built-in-nodes/EmptyHunyuanVideo15Latent", + "zh-CN/built-in-nodes/Flux2Scheduler", + "zh-CN/built-in-nodes/FluxGuidance", + "zh-CN/built-in-nodes/FluxKontextImageScale", + "zh-CN/built-in-nodes/FluxKontextMultiReferenceLatentMethod", + "zh-CN/built-in-nodes/GLIGENTextBoxApply", + "zh-CN/built-in-nodes/GenerateTracks", + "zh-CN/built-in-nodes/HunyuanImageToVideo", + "zh-CN/built-in-nodes/InpaintModelConditioning", + "zh-CN/built-in-nodes/InstructPixToPixConditioning", + "zh-CN/built-in-nodes/Kandinsky5ImageToVideo", + "zh-CN/built-in-nodes/LTXVAddGuide", + "zh-CN/built-in-nodes/LTXVConditioning", + "zh-CN/built-in-nodes/LTXVCropGuides", + "zh-CN/built-in-nodes/LTXVImgToVideoInplace", + "zh-CN/built-in-nodes/LotusConditioning", + "zh-CN/built-in-nodes/ModelSamplingLTXV", + "zh-CN/built-in-nodes/NormalizeVideoLatentStart", + "zh-CN/built-in-nodes/ReferenceLatent", + "zh-CN/built-in-nodes/SD_4XUpscale_Conditioning", + "zh-CN/built-in-nodes/SV3D_Conditioning", + "zh-CN/built-in-nodes/SVD_img2vid_Conditioning", + "zh-CN/built-in-nodes/SetUnionControlNetType", + "zh-CN/built-in-nodes/StableZero123_Conditioning", + "zh-CN/built-in-nodes/StableZero123_Conditioning_Batched", + "zh-CN/built-in-nodes/StyleModelApply", + "zh-CN/built-in-nodes/T5TokenizerOptions", + "zh-CN/built-in-nodes/TextEncodeAceStepAudio", + "zh-CN/built-in-nodes/TextEncodeAceStepAudio1.5", + "zh-CN/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo", + "zh-CN/built-in-nodes/TextEncodeQwenImageEdit", + "zh-CN/built-in-nodes/TextEncodeQwenImageEditPlus", + "zh-CN/built-in-nodes/TextEncodeZImageOmni", + "zh-CN/built-in-nodes/VAEDecodeHunyuan3D", + "zh-CN/built-in-nodes/Wan22FunControlToVideo", + "zh-CN/built-in-nodes/Wan22ImageToVideoLatent", + "zh-CN/built-in-nodes/WanAnimateToVideo", + "zh-CN/built-in-nodes/WanFirstLastFrameToVideo", + "zh-CN/built-in-nodes/WanFunControlToVideo", + "zh-CN/built-in-nodes/WanFunInpaintToVideo", + "zh-CN/built-in-nodes/WanHuMoImageToVideo", + "zh-CN/built-in-nodes/WanImageToVideo", + "zh-CN/built-in-nodes/WanInfiniteTalkToVideo", + "zh-CN/built-in-nodes/WanMoveConcatTrack", + "zh-CN/built-in-nodes/WanMoveTrackToVideo", + "zh-CN/built-in-nodes/WanMoveTracksFromCoords", + "zh-CN/built-in-nodes/WanMoveVisualizeTracks", + "zh-CN/built-in-nodes/WanPhantomSubjectToVideo", + "zh-CN/built-in-nodes/WanSoundImageToVideo", + "zh-CN/built-in-nodes/WanSoundImageToVideoExtend", + "zh-CN/built-in-nodes/WanTrackToVideo", + "zh-CN/built-in-nodes/WanVaceToVideo", + "zh-CN/built-in-nodes/unCLIPConditioning", + { + "group": "视频模型", + "pages": [ + "zh-CN/built-in-nodes/conditioning/video-models/wan-vace-to-video" + ] + } + ] + }, + { + "group": "潜变量", + "pages": [ + "zh-CN/built-in-nodes/CLIPTextEncodeSD3", + "zh-CN/built-in-nodes/ChromaRadianceOptions", + "zh-CN/built-in-nodes/CosmosImageToVideoLatent", + "zh-CN/built-in-nodes/EmptyChromaRadianceLatentImage", + "zh-CN/built-in-nodes/EmptyCosmosLatentVideo", + "zh-CN/built-in-nodes/EmptyHunyuanImageLatent", + "zh-CN/built-in-nodes/EmptyLTXVLatentVideo", + "zh-CN/built-in-nodes/EmptyLatentImage", + "zh-CN/built-in-nodes/EmptyMochiLatentVideo", + "zh-CN/built-in-nodes/EmptyQwenImageLayeredLatentImage", + "zh-CN/built-in-nodes/FluxDisableGuidance", + "zh-CN/built-in-nodes/HunyuanRefinerLatent", + "zh-CN/built-in-nodes/HunyuanVideo15ImageToVideo", + "zh-CN/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", + "zh-CN/built-in-nodes/ImageCompositeMasked", + "zh-CN/built-in-nodes/LTXVImgToVideo", + "zh-CN/built-in-nodes/LTXVLatentUpsampler", + "zh-CN/built-in-nodes/LTXVSeparateAVLatent", + "zh-CN/built-in-nodes/LatentApplyOperation", + "zh-CN/built-in-nodes/LatentBatchSeedBehavior", + "zh-CN/built-in-nodes/LatentComposite", + "zh-CN/built-in-nodes/LatentCompositeMasked", + "zh-CN/built-in-nodes/LatentFromBatch", + "zh-CN/built-in-nodes/LatentUpscale", + "zh-CN/built-in-nodes/LatentUpscaleBy", + "zh-CN/built-in-nodes/RebatchLatents", + "zh-CN/built-in-nodes/RepeatLatentBatch", + "zh-CN/built-in-nodes/SetLatentNoiseMask", + "zh-CN/built-in-nodes/StableCascade_EmptyLatentImage", + "zh-CN/built-in-nodes/StableCascade_StageB_Conditioning", + "zh-CN/built-in-nodes/StableCascade_StageC_VAEEncode", + "zh-CN/built-in-nodes/StableCascade_SuperResolutionControlnet", + "zh-CN/built-in-nodes/TrimVideoLatent", + "zh-CN/built-in-nodes/VAEDecode", + "zh-CN/built-in-nodes/VAEEncode", + "zh-CN/built-in-nodes/VAEEncodeForInpaint", + "zh-CN/built-in-nodes/WanCameraImageToVideo", + "zh-CN/built-in-nodes/latent/video/trim-video-latent" + ] + }, + { + "group": "采样", + "pages": [ + "zh-CN/built-in-nodes/APG", + "zh-CN/built-in-nodes/AlignYourStepsScheduler", + "zh-CN/built-in-nodes/BasicGuider", + "zh-CN/built-in-nodes/BasicScheduler", + "zh-CN/built-in-nodes/BetaSamplingScheduler", + "zh-CN/built-in-nodes/CFGGuider", + "zh-CN/built-in-nodes/CFGNorm", + "zh-CN/built-in-nodes/CFGZeroStar", + "zh-CN/built-in-nodes/DisableNoise", + "zh-CN/built-in-nodes/DualCFGGuider", + "zh-CN/built-in-nodes/Epsilon Scaling", + "zh-CN/built-in-nodes/EpsilonScaling", + "zh-CN/built-in-nodes/ExponentialScheduler", + "zh-CN/built-in-nodes/ExtendIntermediateSigmas", + "zh-CN/built-in-nodes/FlipSigmas", + "zh-CN/built-in-nodes/FreeU", + "zh-CN/built-in-nodes/FreeU_V2", + "zh-CN/built-in-nodes/GITSScheduler", + "zh-CN/built-in-nodes/HyperTile", + "zh-CN/built-in-nodes/KSampler", + "zh-CN/built-in-nodes/KSamplerAdvanced", + "zh-CN/built-in-nodes/KSamplerSelect", + "zh-CN/built-in-nodes/KarrasScheduler", + "zh-CN/built-in-nodes/LaplaceScheduler", + "zh-CN/built-in-nodes/NAGuidance", + "zh-CN/built-in-nodes/OptimalStepsScheduler", + "zh-CN/built-in-nodes/PatchModelAddDownscale", + "zh-CN/built-in-nodes/PerturbedAttentionGuidance", + "zh-CN/built-in-nodes/PolyexponentialScheduler", + "zh-CN/built-in-nodes/RandomNoise", + "zh-CN/built-in-nodes/SDTurboScheduler", + "zh-CN/built-in-nodes/SamplerCustom", + "zh-CN/built-in-nodes/SamplerCustomAdvanced", + "zh-CN/built-in-nodes/SamplerDPMAdaptative", + "zh-CN/built-in-nodes/SamplerDPMPP_2M_SDE", + "zh-CN/built-in-nodes/SamplerDPMPP_2S_Ancestral", + "zh-CN/built-in-nodes/SamplerDPMPP_3M_SDE", + "zh-CN/built-in-nodes/SamplerDPMPP_SDE", + "zh-CN/built-in-nodes/SamplerER_SDE", + "zh-CN/built-in-nodes/SamplerEulerAncestral", + "zh-CN/built-in-nodes/SamplerEulerAncestralCFGPP", + "zh-CN/built-in-nodes/SamplerEulerCFGpp", + "zh-CN/built-in-nodes/SamplerLCMUpscale", + "zh-CN/built-in-nodes/SamplerLMS", + "zh-CN/built-in-nodes/SamplerSASolver", + "zh-CN/built-in-nodes/SamplerSEEDS2", + "zh-CN/built-in-nodes/SamplingPercentToSigma", + "zh-CN/built-in-nodes/ScaleROPE", + "zh-CN/built-in-nodes/SetFirstSigma", + "zh-CN/built-in-nodes/SkipLayerGuidanceDiT", + "zh-CN/built-in-nodes/SkipLayerGuidanceDiTSimple", + "zh-CN/built-in-nodes/SkipLayerGuidanceSD3", + "zh-CN/built-in-nodes/SplitSigmas", + "zh-CN/built-in-nodes/SplitSigmasDenoise", + "zh-CN/built-in-nodes/TCFG", + "zh-CN/built-in-nodes/TemporalScoreRescaling", + "zh-CN/built-in-nodes/TomePatchModel", + "zh-CN/built-in-nodes/USOStyleReference", + "zh-CN/built-in-nodes/VPScheduler", + "zh-CN/built-in-nodes/VideoLinearCFGGuidance", + "zh-CN/built-in-nodes/VideoTriangleCFGGuidance", + "zh-CN/built-in-nodes/sampling/ksampler" + ] + }, + { + "group": "高级", + "pages": [ + "zh-CN/built-in-nodes/AddNoise", + "zh-CN/built-in-nodes/ByteDanceImageEditNode", + "zh-CN/built-in-nodes/CLIPAdd", + "zh-CN/built-in-nodes/CLIPAttentionMultiply", + "zh-CN/built-in-nodes/CLIPMergeAdd", + "zh-CN/built-in-nodes/CLIPMergeSimple", + "zh-CN/built-in-nodes/CLIPMergeSubtract", + "zh-CN/built-in-nodes/CLIPSave", + "zh-CN/built-in-nodes/CLIPSubtract", + "zh-CN/built-in-nodes/CaseConverter", + "zh-CN/built-in-nodes/CheckpointSave", + "zh-CN/built-in-nodes/ClipMergeSimple", + "zh-CN/built-in-nodes/ClipSave", + "zh-CN/built-in-nodes/ColorToRGBInt", + "zh-CN/built-in-nodes/CombineHooks", + "zh-CN/built-in-nodes/CombineHooksEight", + "zh-CN/built-in-nodes/CombineHooksFour", + "zh-CN/built-in-nodes/ConditioningSetDefaultAndCombine", + "zh-CN/built-in-nodes/ConditioningSetProperties", + "zh-CN/built-in-nodes/ConditioningSetPropertiesAndCombine", + "zh-CN/built-in-nodes/ConditioningTimestepsRange", + "zh-CN/built-in-nodes/CreateHookKeyframe", + "zh-CN/built-in-nodes/CreateHookKeyframesFromFloats", + "zh-CN/built-in-nodes/CreateHookKeyframesInterpolated", + "zh-CN/built-in-nodes/CreateHookLora", + "zh-CN/built-in-nodes/CreateHookLoraModelOnly", + "zh-CN/built-in-nodes/CreateHookModelAsLora", + "zh-CN/built-in-nodes/CreateHookModelAsLoraModelOnly", + "zh-CN/built-in-nodes/CustomCombo", + "zh-CN/built-in-nodes/DCTestNode", + "zh-CN/built-in-nodes/DeprecatedCheckpointLoader", + "zh-CN/built-in-nodes/DeprecatedDiffusersLoader", + "zh-CN/built-in-nodes/DifferentialDiffusion", + "zh-CN/built-in-nodes/EasyCache", + "zh-CN/built-in-nodes/FluxProCannyNode", + "zh-CN/built-in-nodes/FluxProDepthNode", + "zh-CN/built-in-nodes/FluxProImageNode", + "zh-CN/built-in-nodes/FreSca", + "zh-CN/built-in-nodes/HunyuanVideo15SuperResolution", + "zh-CN/built-in-nodes/ImageFromBatch", + "zh-CN/built-in-nodes/ImageOnlyCheckpointSave", + "zh-CN/built-in-nodes/LTXVScheduler", + "zh-CN/built-in-nodes/LatentAdd", + "zh-CN/built-in-nodes/LatentApplyOperationCFG", + "zh-CN/built-in-nodes/LatentBatch", + "zh-CN/built-in-nodes/LatentBlend", + "zh-CN/built-in-nodes/LatentConcat", + "zh-CN/built-in-nodes/LatentCut", + "zh-CN/built-in-nodes/LatentCutToBatch", + "zh-CN/built-in-nodes/LatentInterpolate", + "zh-CN/built-in-nodes/LatentMultiply", + "zh-CN/built-in-nodes/LatentOperationSharpen", + "zh-CN/built-in-nodes/LatentOperationTonemapReinhard", + "zh-CN/built-in-nodes/LatentSubtract", + "zh-CN/built-in-nodes/LazyCache", + "zh-CN/built-in-nodes/Load3DAnimation", + "zh-CN/built-in-nodes/LoadImageSetFromFolderNode", + "zh-CN/built-in-nodes/LoadImageSetNode", + "zh-CN/built-in-nodes/LoadImageTextSetFromFolderNode", + "zh-CN/built-in-nodes/LoadLatent", + "zh-CN/built-in-nodes/LoraSave", + "zh-CN/built-in-nodes/Mahiro", + "zh-CN/built-in-nodes/ManualSigmas", + "zh-CN/built-in-nodes/MarkdownNote", + "zh-CN/built-in-nodes/ModelComputeDtype", + "zh-CN/built-in-nodes/ModelMergeAdd", + "zh-CN/built-in-nodes/ModelMergeAuraflow", + "zh-CN/built-in-nodes/ModelMergeBlocks", + "zh-CN/built-in-nodes/ModelMergeCosmos14B", + "zh-CN/built-in-nodes/ModelMergeCosmos7B", + "zh-CN/built-in-nodes/ModelMergeCosmosPredict2_14B", + "zh-CN/built-in-nodes/ModelMergeCosmosPredict2_2B", + "zh-CN/built-in-nodes/ModelMergeFlux1", + "zh-CN/built-in-nodes/ModelMergeLTXV", + "zh-CN/built-in-nodes/ModelMergeMochiPreview", + "zh-CN/built-in-nodes/ModelMergeQwenImage", + "zh-CN/built-in-nodes/ModelMergeSD1", + "zh-CN/built-in-nodes/ModelMergeSD35_Large", + "zh-CN/built-in-nodes/ModelMergeSD3_2B", + "zh-CN/built-in-nodes/ModelMergeSDXL", + "zh-CN/built-in-nodes/ModelMergeSimple", + "zh-CN/built-in-nodes/ModelMergeSubtract", + "zh-CN/built-in-nodes/ModelMergeWAN2_1", + "zh-CN/built-in-nodes/ModelSamplingAuraFlow", + "zh-CN/built-in-nodes/ModelSamplingContinuousEDM", + "zh-CN/built-in-nodes/ModelSamplingContinuousV", + "zh-CN/built-in-nodes/ModelSamplingDiscrete", + "zh-CN/built-in-nodes/ModelSamplingFlux", + "zh-CN/built-in-nodes/ModelSamplingSD3", + "zh-CN/built-in-nodes/ModelSamplingStableCascade", + "zh-CN/built-in-nodes/ModelSave", + "zh-CN/built-in-nodes/Note", + "zh-CN/built-in-nodes/PairConditioningCombine", + "zh-CN/built-in-nodes/PairConditioningSetDefaultAndCombine", + "zh-CN/built-in-nodes/PairConditioningSetProperties", + "zh-CN/built-in-nodes/PairConditioningSetPropertiesAndCombine", + "zh-CN/built-in-nodes/PerpNeg", + "zh-CN/built-in-nodes/PerpNegGuider", + "zh-CN/built-in-nodes/PhotoMakerEncode", + "zh-CN/built-in-nodes/PhotoMakerLoader", + "zh-CN/built-in-nodes/PikaImageToVideoNode2_2", + "zh-CN/built-in-nodes/PikaScenesV2_2", + "zh-CN/built-in-nodes/PikaStartEndFrameNode2_2", + "zh-CN/built-in-nodes/PikaTextToVideoNode2_2", + "zh-CN/built-in-nodes/Pikadditions", + "zh-CN/built-in-nodes/Pikaffects", + "zh-CN/built-in-nodes/Pikaswaps", + "zh-CN/built-in-nodes/Preview3DAnimation", + "zh-CN/built-in-nodes/PreviewAny", + "zh-CN/built-in-nodes/PrimitiveBoolean", + "zh-CN/built-in-nodes/PrimitiveFloat", + "zh-CN/built-in-nodes/PrimitiveInt", + "zh-CN/built-in-nodes/PrimitiveString", + "zh-CN/built-in-nodes/PrimitiveStringMultiline", + "zh-CN/built-in-nodes/RegexExtract", + "zh-CN/built-in-nodes/RegexMatch", + "zh-CN/built-in-nodes/RegexReplace", + "zh-CN/built-in-nodes/RenormCFG", + "zh-CN/built-in-nodes/ReplaceVideoLatentFrames", + "zh-CN/built-in-nodes/Reroute", + "zh-CN/built-in-nodes/RescaleCFG", + "zh-CN/built-in-nodes/SamplerDpmpp2mSde", + "zh-CN/built-in-nodes/SamplerDpmppSde", + "zh-CN/built-in-nodes/SaveLatent", + "zh-CN/built-in-nodes/SaveLoRANode", + "zh-CN/built-in-nodes/Sd4xupscaleConditioning", + "zh-CN/built-in-nodes/SelfAttentionGuidance", + "zh-CN/built-in-nodes/SetClipHooks", + "zh-CN/built-in-nodes/SetHookKeyframes", + "zh-CN/built-in-nodes/SetModelHooksOnCond", + "zh-CN/built-in-nodes/Stablezero123Conditioning", + "zh-CN/built-in-nodes/Stablezero123ConditioningBatched", + "zh-CN/built-in-nodes/StringCompare", + "zh-CN/built-in-nodes/StringConcatenate", + "zh-CN/built-in-nodes/StringContains", + "zh-CN/built-in-nodes/StringLength", + "zh-CN/built-in-nodes/StringReplace", + "zh-CN/built-in-nodes/StringSubstring", + "zh-CN/built-in-nodes/StringTrim", + "zh-CN/built-in-nodes/SvdImg2vidConditioning", + "zh-CN/built-in-nodes/TerminalLog", + "zh-CN/built-in-nodes/TorchCompileModel", + "zh-CN/built-in-nodes/UNetCrossAttentionMultiply", + "zh-CN/built-in-nodes/UNetSelfAttentionMultiply", + "zh-CN/built-in-nodes/UNetTemporalAttentionMultiply", + "zh-CN/built-in-nodes/VAEDecodeTiled", + "zh-CN/built-in-nodes/VAEEncodeTiled", + "zh-CN/built-in-nodes/VAESave", + "zh-CN/built-in-nodes/wanBlockSwap", + { + "group": "条件", + "pages": [ + "zh-CN/built-in-nodes/ClipTextEncodeFlux", + "zh-CN/built-in-nodes/ClipTextEncodeHunyuanDit", + "zh-CN/built-in-nodes/ClipTextEncodeSdxl", + "zh-CN/built-in-nodes/ClipTextEncodeSdxlRefiner" + ] + } + ] } ] }, @@ -1595,7 +3525,12 @@ ] }, "contextual": { - "options": ["copy", "view", "chatgpt", "claude"] + "options": [ + "copy", + "view", + "chatgpt", + "claude" + ] }, "integrations": { "ga4": { @@ -1692,4 +3627,4 @@ "destination": "/zh-CN/custom-nodes/backend/expansion" } ] -} +} \ No newline at end of file diff --git a/images/built-in-nodes/ConditioningAverage/example.webp 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