Hugging Face Diffusion Models Course

Overview

This repository provides Jupyter Notebook materials for the Hugging Face Diffusion Models Course. It teaches how to build, train, and deploy diffusion models using the Hugging Face ecosystem. The course covers key concepts like denoising, sampling, and model architectures through hands-on exercises.

Best for

Best for
Developers and researchers who want a hands-on introduction to diffusion models

Use cases

• Learning to implement diffusion models from scratch
• Following structured tutorials for training and sampling
• Experimenting with pretrained diffusion pipelines

Notes

This repository provides Jupyter Notebook materials for the Hugging Face Diffusion Models Course. It teaches how to build, train, and deploy diffusion models using the Hugging Face ecosystem. The course covers key concepts like denoising, sampling, and model architectures through hands-on exercises.

4,323 stars on GitHub. Last updated 2026-05-26. Licensed Apache-2.0.

Use cases

• Learning to implement diffusion models from scratch
• Following structured tutorials for training and sampling
• Experimenting with pretrained diffusion pipelines

Pros

• Practical coding examples in Jupyter notebooks
• Backed by Hugging Face’s active community and documentation
• Open source with frequent updates and clear explanations

Cons

• Requires familiarity with Python and PyTorch
• Not a production-ready tool, focuses on education
• Some notebooks may depend on evolving library versions

Indexed from awesome-generative-ai and enriched against its public facts.