diffusers
by huggingface · author: The Hugging Face team
Conventions and task skills for contributing to diffusers
What diffusers does, in the publisher's words
🤗 Diffusers is the go-to library for state-of-the-art pretrained diffusion models for generating images, audio, and even 3D structures of molecules. Whether you're looking for a simple inference solution or training your own diffusion models, 🤗 Diffusers is a modular toolbox that supports both. Our library is designed with a focus on usability over performance, simple over easy, and customizability over abstractions.
🤗 Diffusers offers three core components:
- State-of-the-art diffusion pipelines that can be run in inference with just a few lines of code.
- Interchangeable noise schedulers for different diffusion speeds and output quality.
- Pretrained models that can be used as building blocks, and combined with schedulers, for creating your own end-to-end diffusion systems.
From the project README, punctuation lightly normalized · Open the README on GitHub
- Skills
- 4
- MCP servers
- 0
- Stars
- 34,648
- License
- Apache-2.0
- Repo created
- 2022-05-30
- Last pushed
- 2026-10-02
- Publisher type
- Organization
- Version
- n/a
Links
Skills · 4
- custom-blocks
- Use when the user has written (or wants to write) a `ModularPipelineBlocks` subclass in a local Python file and needs to package it into a Hub-uploadable directory. Covers the workflow from a single `block.py` file to a published custom-block repo that consumers can load via `ModularPipeline.from_p…
- diffusers-cli
- Use when the user wants to run a diffusers pipeline from a terminal (one-off generation, batch jobs, smoke-testing a new model), run on HF Sandbox hardware via `--remote`, introspect a pipeline's input schema before calling it, or attach a LoRA at inference time. Prefer this over writing ad-hoc Pyt…
- model-integration
- Use when adding a new model or pipeline to diffusers, setting up file structure for a new model, converting a pipeline to modular format, or converting weights for a new version of an already-supported model.
- self-review
- Use before opening a PR, or whenever asked to self-review a diffusers contribution. Applies the same rubric as the `@claude` CI (checks the diff against references/review-rules.md, traces call paths for dead code). Reports findings grouped by severity, flagging what to fix before submitting (blocki…
Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.
Category
Code Review & Quality. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.
Keywords
diffusers · diffusion-models · contributing
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