database-fork/PixArt.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: International
# - Contributor type: Academic (Research community)

system:
    name: PixArt
    link: https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS
    type: image
    performanceclass: full
    basemodelname: PixArt-Sigma-XL-2-1024-MS
    endmodelname: PixArt-Sigma-XL-2-1024-MS
    endmodellicense: CreativeML Open RAIL++-M License
    releasedate: 2024-04
    notes: Weak-to-strong-trained model (higher quality data incorporated later) for text-to-image generation.

org:
    name: PixArt-Alpha
    link: https://huggingface.co/PixArt-alpha
    notes: Collaboration between Huawei's Noah's Ark Lab and two Chinese universities.

# availability:
datasources_basemodel:
    class: closed
    link:
    notes: Internal dataset, apparantly undisclosed.

datasources_endmodel:
    class: closed
    link:
    notes:

weights_basemodel:
    class: open
    link: https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS
    notes: Weights made available through HuggingFace.

weights_endmodel:
    class: open
    link: https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS
    notes: Weights made available through HuggingFace.

trainingcode:
    class: open
    link: https://github.com/PixArt-alpha/PixArt-sigma
    notes: Training code made available on GitHub.

# documentation:
code:
    class: partial
    link: https://github.com/PixArt-alpha/PixArt-sigma
    notes: Training code usage documented in README, no documentation in training code itself.

hardware_architecture:
    class: open
    link: https://arxiv.org/pdf/2403.04692
    notes: Architecture described in paper.

preprint:
    class: open
    link: https://arxiv.org/pdf/2403.04692
    notes: Preprint made available on arXiv.

paper:
    class: partial
    link: https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/04633.pdf
    notes: Paper published as conference paper.

modelcard:
    class: partial
    link: https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS
    notes: Model card provides surface-level information, refers to GitHub and paper for further information.

datasheet:
    class: closed
    link:
    notes:

# access:
package:
    class: closed
    link:
    notes: No package found.

api:
    class: open
    link: https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS
    notes: Inference API available through HuggingFace.
    metaprompts:

licenses:
    class: closed
    link: https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS#model-description
    notes: CreativeML Open RAIL++-M License. Not an OSI-approved license.