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

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
- 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.
- 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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