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Sayak Paul

Works on diffusion models at Hugging Face and is a listed author of the Diffusers library

Sayak Paul works on diffusion models at Hugging Face, according to Paul's homepage and GitHub profile. Paul is one of the listed authors of Diffusers, Hugging Face's Apache-2.0 library that provides pretrained diffusion models across modalities and a modular toolbox for inference and training. Paul's site lists recent research on probabilistic alignment in video generation models and an ECCV 2026 tutorial, organized by Paul, on post-training diffusion models.1234

Work

  • DiffusersOpen-source code

    Listed among the authors in the Diffusers README citation and in the repository's CITATION.cff, which describes the library as a modular toolbox for diffusion models and gives the license as Apache-2.0.34

    Project page (external site: github.com)

This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.

Sources · reviewed Oct 13, 2026

  1. 1.
    Sayak Paul — homepage (external site: sayak.dev)

    Sayak Paul · Official page · accessed Oct 13, 2026

  2. 2.
    sayakpaul (Sayak Paul) on GitHub (external site: github.com)

    GitHub · Official page · accessed Oct 13, 2026

  3. 3.
    huggingface/diffusers README (citation) (external site: github.com)

    Hugging Face (GitHub repository) · Repository · accessed Oct 13, 2026

  4. 4.
    huggingface/diffusers CITATION.cff (authors, abstract, license Apache-2.0) (external site: github.com)

    Hugging Face (GitHub repository) · Repository · accessed Oct 13, 2026

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