database-fork/AltDiffusion.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 (Research institution)

system:
    name: AltDiffusion
    link: https://huggingface.co/BAAI/AltDiffusion
    type: image
    performanceclass: limited
    basemodelname: Stable-Diffusion-2-Base
    endmodelname: AltDiffusion
    endmodellicense: CreativeML Open RAIL-M
    releasedate: 2022-12
    notes: Early multilingual text-to-image model.

org:
    name: Beijing Academy of Artificial Intelligence
    link: https://www.baai.ac.cn/en/
    notes: Chinese non-profit AI lab.

# 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: open
    link: ["https://laion.ai/blog/laion-5b/", "https://data.baai.ac.cn/details/WuDaoCorporaText"]
    notes: Fine-tuned on LAION and WuDao. Both ostensibly publicly available.

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/BAAI/AltDiffusion
    notes: Weights available through HuggingFace.

trainingcode:
    class: open
    link: https://github.com/superhero-7/AltDiffusion
    notes: GitHub available containing training code.

# documentation:
code:
    class: partial
    link: https://github.com/superhero-7/AltDiffusion/
    notes: Code sparsely documented in Chinese.

hardware_architecture:
    class: open
    link: https://arxiv.org/pdf/2308.09991
    notes: Hardware architecture outlined in preprint.

preprint:
    class: open
    link: https://arxiv.org/pdf/2308.09991
    notes: Preprint available through arXiv.

paper:
    class: open
    link: https://dl.acm.org/doi/10.1609/aaai.v38i7.28487
    notes: Paper published in ACM.

modelcard:
    class: partial
    link: https://huggingface.co/BAAI/AltDiffusion
    notes: Model card primarily contains information about inference, examples, and licensing information.

datasheet:
    class: partial
    link: ["https://arxiv.org/pdf/2210.08402", "https://github.com/BAAI-WuDao/Data"]
    notes: Data collection procedures for LAION are outlined in a corresponding paper. The WuDao dataset is only sparsely documented, primarily in Chinese.

# access:
package:
    class: closed
    link:
    notes: No package found. Model available through diffusers.

api:
    class: closed
    link: https://huggingface.co/spaces/BAAI/AltDiffusion
    notes: HuggingFace space exists, however displays a runtime error.
    metaprompts:

licenses:
    class: closed
    link: https://huggingface.co/BAAI/AltDiffusion#%E8%AE%B8%E5%8F%AFlicense
    notes: CreativeML Open RAIL-M License. Not an OSI-approved license.