Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
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Updated
Dec 16, 2025 - Python
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
Inpaint Anything extension performs stable diffusion inpainting on a browser UI using masks from Segment Anything.
Colab notebook for Stable Diffusion Hyper-SDXL.
Inpaint Anything performs stable diffusion inpainting on a browser UI using masks from Segment Anything.
Dreambooth implementation based on Stable Diffusion with minimal code.
[CVPR'25-Demo] Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".
🤗 Unofficial huggingface/diffusers-based implementation of the paper "Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis".
A simple web application that lets you replace any part of an image with an image generated based on your description.
A fine-tuned model based on Stable Diffusion to create images in the style of Midjourney
Quantized stable-diffusion cutting down memory 75%, testing in streamlit, deploying in container
🤗 HuggingFace Diffusers Flax TPU and PyTorch GPU for Colab
Dreambooth for colab
Morpheus is an open-source project that offers a creative and innovative platform for generating stunning artworks using image editing and stable diffusion models.
Diffusers API in OCaml
Easily create your own AI avatar images!
A Gradio-based web application for performing image editing tasks using the FireRed-Image-Edit-1.0 model with accelerated 4-step inference. Supports single and multi-image editing through natural language prompts.
Toolchain for creating custom datasets and training Stable Diffusion (1.x, 2.x, XL) models and LoRAs
Collection of OSS models that are containerized into a serving container
Implementation of Paint-with-words with Stable Diffusion using diffusers pipeline: method from eDiff-I that let you generate image from text-labeled segmentation map.
This is a repo providing same stable diffusion experiments, regarding textual inversion task and captioning task
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