Hugging Face Diffusion Models Course

The Hugging Face Diffusion Models Course provides course materials for studying diffusion theory and image generation.

github.com/huggingface/diffusion-models-class
Hugging Face Diffusion Models Course homepage screenshot

About Hugging Face Diffusion Models Course

The Hugging Face Diffusion Models Course is a set of open course materials for studying diffusion theory and image generation. The materials are hosted as a GitHub repository. The course covers the theory behind diffusion models and shows how to generate images and audio with the Diffusers library. Each unit pairs background theory with one or more hands-on notebooks.

The course is organized into units. The published units cover an introduction to diffusion models, fine-tuning and guidance, and Stable Diffusion. A further unit on advanced techniques is listed as to be confirmed. The course requires good Python skills and basic knowledge of deep learning and PyTorch. Free introductory resources are linked for these prerequisites. Some details, such as competitions and the unit schedule, are still marked as to be determined. Pushing custom models and pipelines to the Hugging Face Hub requires a free account.

Key features

  • Theory of diffusion models with background material in each unit
  • Image and audio generation using the Diffusers library
  • Training diffusion models from scratch in hands-on notebooks
  • Fine-tuning existing diffusion models on new datasets
  • Conditional generation and guidance topics
  • Building custom diffusion model pipelines
Best for: Learners who already have Python and basic deep learning and PyTorch skills and want a hands-on, code-based introduction to diffusion models.
Good for
  • The course FAQ states that the class is free.
  • The materials are open source under the Apache-2.0 license.
  • Each unit combines theory with one or more hands-on notebooks.
Watch out for
  • Good Python skills and basic deep learning and PyTorch knowledge are required.
  • Some units and details, including the January 2023 unit and competitions, are marked as to be confirmed or to be determined.
  • Pushing custom models and pipelines to the Hugging Face Hub requires a free account.

Hugging Face Diffusion Models Course at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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Hugging Face Diffusion Models Course FAQ

Is this class free?
Yes. The course FAQ states that the class is totally free.
Do I need a Hugging Face account to follow the course?
Not to follow the course itself. An account, which is free, is needed to push custom models and pipelines to the Hugging Face Hub.
What is the format of the class?
The course will have at least four units. Each unit includes theory and background along with one or more hands-on notebooks. Some units also suggest projects.
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