# huggingface/diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

Repository: https://github.com/huggingface/diffusion-models-class
Canonical: https://ross.abutalabs.com/products/diffusion-models-class
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Last push: 2026-05-26T10:32:05+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 84, release rhythm 35, longevity 100
- inputs: {"age_days": 1420, "days_push": 99, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4358, forks 497 (observed 2026-08-28T04:08:46.520910+00:00)

## What it is
A free open-source course from Hugging Face teaching the theory and practice of diffusion models using the Diffusers library and PyTorch. It consists of Jupyter notebook units covering training diffusion models from scratch, fine-tuning, Stable Diffusion, and conditional generation.

## Use cases
- learn how diffusion models work
- train a diffusion model from scratch
- fine-tune stable diffusion on my own images
- generate images with the diffusers library
- understand guidance and conditional generation
- build a custom diffusion model pipeline
- free course on generative AI image models

## When to choose
- you want a structured, hands-on introduction to diffusion models with notebooks
- you already know Python and basic PyTorch deep learning
- you want to learn the Hugging Face Diffusers library
- you prefer free community-supported learning materials

## When to avoid
- you need production-ready diffusion model code rather than educational notebooks
- you are a complete beginner without Python or deep learning basics
- you need up-to-date coverage of the newest diffusion research beyond the course syllabus

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, image-processing, audio-processing
- domain: deep-learning, machine-learning, artificial-intelligence, tutorials
- platform: python, cross-platform
- tags: diffusion-models, stable-diffusion, diffusers, pytorch, jupyter-notebooks, free-course, generative-ai, text-to-image, gpu

## Member repositories
- huggingface/diffusion-models-class (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:46.520910+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:21:28.575374+00:00, confidence not recorded.
  - readme: https://github.com/huggingface/diffusion-models-class (fetched 2026-08-28T04:08:46.520910+00:00, sha 6f45a2cb75e3)
- Data as of 2026-08-30T08:39:29.467469+00:00.