database-fork/DynamiCrafter.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: Academic (Individual)

system:
    name: DynamiCrafter
    link: https://huggingface.co/Doubiiu/DynamiCrafter_1024
    type: video
    performanceclass: limited
    basemodelname: Stable-Diffusion-2-Base
    endmodelname: DynamiCrafter-1024
    endmodellicense: Apache-2.0
    releasedate: 2024-02
    notes: (Text-)Image-to-Video model (16 frames).

org:
    name: CUHK and Tencent
    link: ["https://www.cuhk.edu.hk/english/index.html", "https://ailab.tencent.com/ailab/en/index/"]
    notes: Chinese University of Hong Kong, an educational institution, and Tencent, a Chinese conglomerate.

# availability:
datasources_basemodel:
    class: open
    link: https://laion.ai/blog/laion-5b/
    notes: Trained on a subset of LAION-5B, an openly available dataset.

datasources_endmodel:
    class: closed
    link:
    notes: "WebVid-10M mentioned in paper"

weights_basemodel:
    class: open
    link: https://huggingface.co/stabilityai/stable-diffusion-2-base
    notes: Weights available through HuggingFace.

weights_endmodel:
    class: open
    link: https://huggingface.co/Doubiiu/DynamiCrafter_1024/tree/main
    notes:

trainingcode:
    class: partial
    link: https://github.com/Doubiiu/DynamiCrafter
    notes:

# documentation:
code:
    class: partial
    link: https://github.com/Doubiiu/DynamiCrafter
    notes:

hardware_architecture:
    class: partial
    link:
    notes:

preprint:
    class: open
    link: https://arxiv.org/abs/2310.12190
    notes:

paper:
    class: open
    link: https://dl.acm.org/doi/abs/10.1007/978-3-031-72952-2_23
    notes:

modelcard:
    class: open
    link: https://huggingface.co/Doubiiu/DynamiCrafter_1024
    notes:

datasheet:
    class: partial
    link: https://arxiv.org/pdf/2210.08402
    notes: Data collection procedures for LAION are outlined in a corresponding paper. No datasheet found for end model.

# access:
package:
    class: open
    link: https://github.com/kijai/ComfyUI-DynamiCrafterWrapper
    notes: ComfyUI workflow for model available.

api:
    class: closed
    link:
    notes:
    metaprompts:

licenses:
    class: closed
    link:
    notes: unspecified