Hugging Face Diffusion Models Course
FreePython materials for the online course on diffusion models by [@huggingface](https://github.com/huggingface).
FreeFree tier
About Hugging Face Diffusion Models Course
This free, open-source course from Hugging Face provides comprehensive materials for learning diffusion models. Participants study the underlying theory, learn to generate images and audio using the 🤗 Diffusers library, train diffusion models from scratch, fine-tune existing models on new datasets, explore conditional generation and guidance, and create custom diffusion model pipelines. The course includes hands-on Jupyter notebooks, a structured syllabus with at least four units, and community support via Discord. Prerequisites include good Python skills and basic deep learning knowledge with PyTorch.
Key Features
Study the theory behind diffusion models
Generate images and audio using the 🤗 Diffusers library
Train diffusion models from scratch
Fine-tune existing diffusion models on new datasets
Explore conditional generation and guidance
Create custom diffusion model pipelines
Access hands-on Jupyter notebooks for each unit
Join community discussions on Discord
Free and open-source with Apache-2.0 license
Pros & Cons
Pros
- Completely free to access and use
- Hands-on notebooks with practical exercises
- Covers both theory and implementation
- Uses the popular 🤗 Diffusers library
- Active community support on Discord
- Open-source with permissive Apache-2.0 license
Cons
- Requires prior knowledge of Python and deep learning with PyTorch
- Course content still under development (some units marked TBC)
- Training diffusion models may require significant GPU resources
- Limited to foundational topics initially (4 units)
Best For
Learning diffusion models for image and audio generationBuilding custom diffusion model pipelinesFine-tuning pre-trained diffusion models on personal datasetsEducational resource for deep learning and generative AI coursesResearch and experimentation with advanced diffusion techniques
FAQ
Do I need a Hugging Face account to follow the course?
Yes, to push custom models and pipelines to the hub you need a free Hugging Face account.
What is the format of the class?
The course consists of at least 4 units, each with theory and background alongside one or more hands-on notebooks. Additional units on topics like diffusion for audio are planned.