database-fork/AnimateDiff-Lightning.yaml at preview · Language-Technology-Assessment/database-fork · GitHub

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---
# Thank you for contributing!
# In filling out this yaml file, please follow the criteria as described here:
# https://osai-index.eu/contribute

# You're free to build on this work and reuse the data. It is licensed under CC-BY 4.0, with the
# stipulation that attribution should come in the form of a link to https://osai-index.eu/
# and a citation to the peer-reviewed paper in which the dataset & criteria were published:

# Liesenfeld, A. and Dingemanse, M., 2024. Rethinking open source generative AI: open-washing and the EU AI Act. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (pp. 1774-1787).

# Organization tags:
# - National origin: China
# - Contributor type: Non-academic (Company)

system:
    name: AnimateDiff-Lightning
    link: https://huggingface.co/ByteDance/AnimateDiff-Lightning
    type: video
    performanceclass: limited
    basemodelname: AnimateDiff-SD1.5-v2
    endmodelname: AnimateDiff-Lightning
    endmodellicense: CreativeML Open RAIL-M
    releasedate: 2024-03
    notes: Video generation model using progressive adversarial diffusion distillation. Distilled from various models.

org:
    name: ByteDance
    link: https://www.bytedance.com/
    notes: ByteDance, the parent company of TikTok.

# availability:
datasources_basemodel:
    class: partial
    link: https://arxiv.org/pdf/2307.04725
    notes: Paper mentions WebVid-10M as one base dataset. A great deal of synthetic data was used, which is not released.

datasources_endmodel:
    class: partial
    link: https://arxiv.org/pdf/2403.12706
    notes: Paper mentions WebVid-10M as one base dataset. A great deal of synthetic data was used, which is not released.

weights_basemodel:
    class: open
    link: https://huggingface.co/guoyww/animatediff
    notes: Weights made available on HuggingFace.

weights_endmodel:
    class: open
    link: https://huggingface.co/ByteDance/AnimateDiff-Lightning
    notes: Weights made available on HuggingFace.

trainingcode:
    class: closed
    link:
    notes: No training code found.

# documentation:
code:
    class: closed
    link:
    notes: No training code, so no documentation.

hardware_architecture:
    class: open
    link: https://arxiv.org/pdf/2403.12706
    notes: Hardware architecture described in paper.

preprint:
    class: open
    link: https://arxiv.org/pdf/2403.12706
    notes: Preprint available on arXiv.

paper:
    class: closed
    link:
    notes: No peer-reviewed paper found.

modelcard:
    class: partial
    link: https://huggingface.co/ByteDance/AnimateDiff-Lightning
    notes: Model card primarily contains information on usage and model architecture. No information provided on training and fine-tuning.

datasheet:
    class: closed
    link:
    notes: No datasheet found.

# access:
package:
    class: open
    link: https://huggingface.co/ByteDance/AnimateDiff-Lightning#comfyui-usage
    notes: ComfyUI workflow for model available.

api:
    class: open
    link: https://huggingface.co/spaces/ByteDance/AnimateDiff-Lightning
    notes: HuggingFace space containing model available.
    metaprompts:

licenses:
    class: closed
    link: https://huggingface.co/ByteDance/AnimateDiff-Lightning
    notes: Model released under CreativeML-OpenRAIL-M, not an OSI-approved license.