Independent project. Not a U.S. government website.

Support our project (opens Buy Me a Coffee)
USASI
SoftwareFramework

Diffusers

Diffusers is a framework maintained by Hugging Face12, version 0.40.0. Its source code is public1 under the Apache License 2.03.

Diffusers is Hugging Face's open-source PyTorch library for pretrained diffusion models that generate images, video, and audio. It is organized around the DiffusionPipeline API, with interchangeable noise schedulers and model components, and supports adapters such as LoRA. Version 0.40.0 (August 2026) removed JAX/Flax support.1426

Last reviewedEntry updated Documented release Unknown

Availability and license

Overall availability

Public

Source code on GitHub under the Apache License 2.0; installable from PyPI with pip or uv, or from the community-maintained conda-forge package.135

Availability fact review: not separately recorded

Availability is separate from permission: read the license before using or redistributing.

Component reuse rights

A readable or downloadable component is not automatically reusable. These indicators concern recorded license evidence, not system certification.
weights
Unknown — no complete fact-level rights review
code
Unknown — no complete fact-level rights review
data
Unknown — no complete fact-level rights review
documentation
Unknown — no complete fact-level rights review

No complete system-rights review is recorded for this release.

Public materials checklist

Items for a framework under USASI rubric v0.2. Unknown means unassessed or insufficient evidence.
Public materials checklist for Diffusers
ItemStatusNotes and evidence
Source codeIs the source code publicly readable?Public1
DocumentationIs user documentation published?Public45
InstallationAre installation instructions or packages publicly available?PublicDocumented installation with pip or uv (diffusers[torch] extra), from conda-forge, from source, and as an editable install.52
Supported platformsAre supported operating systems or hardware documented?PublicThe installation guide states Diffusers is tested with PyTorch 2.6+ and documents a setup for NVIDIA ARM64 devices; the README links a guide for Apple silicon. The v0.40.0 release notes describe tensor-parallel support for CUDA and AWS Neuron.526
Release statusAre versioned releases published?PublicVersioned releases are published on GitHub; v0.40.0 was published on 2026-08-20.6

What it is useful for

Running inference with diffusion pipelines in a few lines of code, assembling custom diffusion systems from models and schedulers, and training or fine-tuning diffusion models. The documentation also describes memory-saving options such as offloading and quantization.24

Run and use notes

Documented facts only. No hardware or performance claims are made without a cited source and stated assumptions.
  • The installation guide states that Diffusers sends telemetry (library versions, the requested model or pipeline class, and the Hub checkpoint path) when loading from the Hub, not for local files, and that it can be turned off with HF_HUB_DISABLE_TELEMETRY=1. Offline use is possible with HF_HUB_OFFLINE=1 once files are cached.5

Organization context

In the news

Dated, sourced updates in this catalog's news that mention this entry.
  1. · Release

    Diffusers 0.41.0 adds a Qwen-Image 2.1 pipeline and deprecates ONNX support

    On October 6, 2026 Hugging Face published Diffusers 0.41.0 on GitHub. The release notes say it adds Qwen-Image 2.1, with text-to-image generation, image editing, native transparency, and LoRA training, and introduces tensor-parallel checkpoint loading in which each rank reads its own slice of sharded weights. The notes deprecate ONNX support in favor of Optimum and remove previously deprecated APIs, including the LuminaText2ImgPipeline and Lumina2Text2ImgPipeline aliases. They also say minor releases will now be coordinated around new model integrations, as in Transformers. Qwen-Image 2.1 is a third-party model and is not a catalog entry; the notes do not state its license.

U.S. eligibility

Project eligibility rests on documented governing or maintaining entities, not on contributors.

Eligible · basis: U.S.-governed project

Diffusers is developed in Hugging Face's GitHub organization, and its README carries a HuggingFace Team copyright notice. Hugging Face's terms of service identify Hugging Face, Inc., a Delaware corporation, as the provider of its services, under New York law and courts, and its privacy policy states that the company and its servers are located in the United States (the French entity is named as its EU main establishment). See the hugging-face organization record for the full dual-country assessment.1278

Assessed Sep 29, 2026

Sources

  1. 1.
    huggingface/diffusers (external site: github.com)

    Hugging Face · Repository · accessed Sep 29, 2026

  2. 2.
    Diffusers README (external site: raw.githubusercontent.com)

    Hugging Face · Documentation · accessed Sep 29, 2026

  3. 3.
    Diffusers LICENSE (external site: raw.githubusercontent.com)

    Hugging Face · License · accessed Sep 29, 2026

  4. 4.
    Diffusers documentation (external site: huggingface.co)

    Hugging Face · Documentation · accessed Sep 29, 2026

  5. 5.
    Installation (Diffusers documentation) (external site: huggingface.co)

    Hugging Face · Documentation · accessed Sep 29, 2026

  6. 6.
    Diffusers 0.40.0: New pipelines, tensor-parallel support, improved CLI, and more (external site: github.com)

    Hugging Face · Release notes · published Aug 20, 2026 · accessed Sep 29, 2026

  7. 7.
    Terms of Service (external site: huggingface.co)

    Hugging Face · Official page · accessed Sep 29, 2026

  8. 8.
    Hugging Face Privacy Policy (external site: huggingface.co)

    Hugging Face · Official page · accessed Sep 29, 2026

Share or cite this page

Cite this page

APA style

USASI. (2026, September 29). Diffusers. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/diffusers/

BibTeX

@misc{usasi_diffusers,
  author = {{USASI}},
  title = {Diffusers},
  year = {2026},
  month = sep,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/diffusers/}},
  note = {United States of America Superintelligence. Last updated 2026-09-29}
}

The date is when this page was last updated. Add the date you read it if your style needs one.

For maintainers: a “Listed in USASI” badge

Listed in the USASI catalogLinks to this page. It says the entry is listed, not endorsed or rated. About the badge

Markdown (for a README)

[![Listed in the USASI catalog](https://unitedstatesofamericasuperintelligence.com/badges/listed.svg)](https://unitedstatesofamericasuperintelligence.com/open/diffusers/)

HTML

<a href="https://unitedstatesofamericasuperintelligence.com/open/diffusers/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/listed.svg" alt="Listed in the USASI catalog" height="20"></a>

Support Us

Help keep USASI useful.

Optional. No USASI account required. Payment takes place on the linked provider’s website (Buy Me a Coffee).

About supporting this project