#
Hugging Face Diffusion Models Course

In this free course, you will:

- 👩‍🎓 Study the theory behind diffusion models
- 🧨 Learn how to generate images and audio with the popular 🤗 Diffusers library
- 🏋️‍♂️ Train your own diffusion models from scratch
- 📻 Fine-tune existing diffusion models on new datasets
- 🗺 Explore conditional generation and guidance
- 🧑‍🔬 Create your own custom diffusion model pipelines

Register via the signup form and then join us on Discord to get the conversations started. Instructions on how to join specific categories/channels are here.

##
Syllabus

📆 Publishing date | 📘 Unit | 👩‍💻 Hands-on
--- | --- | ---
November 28, 2022 | An Introduction to Diffusion Models | Introduction to Diffusers and Diffusion Models From Scratch
December 12, 2022 | Fine-Tuning and Guidance | Fine-Tuning a Diffusion Model on New Data and Adding Guidance
December 21, 2022 | Stable Diffusion | Exploring a Powerful Text-Conditioned Latent Diffusion Model
January 2023 (TBC) | Doing More with Diffusion | Advanced Techniques to Take Diffusion Further

More information coming soon!

##
Prerequisites

- Good skills in Python 🐍
- Basics in Deep Learning and Pytorch

If it’s not the case yet, you can check these free resources:

- Python: https://www.udacity.com/course/introduction-to-python—ud1110
- Intro to Deep Learning with PyTorch: https://www.udacity.com/course/deep-learning-pytorch—ud188
- PyTorch in 60 min: https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html

##
FAQ

Is this class free?

Yes, totally free 🥳.

Do I need to have a Hugging Face account to follow the course?

Yes, to push your custom models and pipelines to the hub, you need an account (it’s free) 🤗.

You can create one here 👉 https://huggingface.co/join

What’s the format of the class?

The course will consist of at least 4 Units. More will be added as time goes on, on topics like diffusion for audio.

Each unit consists of some theory and background alongside one or more hands-on notebooks. Some units will also contain suggested projects and we’ll have competitions and swag for the best pipelines and demos (more details TDB).

##
🌎 Languages and translations

Members of the 🤗 community have begun translating the course! We’re planning to host this course on the Hugging Face website, so if you’re interested in contributing a translation, we recommend waiting until we’ve formatted the English content in it’s final form.

Language | Authors
--- | ---
Chinese | @darcula1993 @XhrLeokk @SuSung-boy @Hoi2022
Japanese | @eltociear @nazuki155
Korean | @deep-diver

< > Update on GitHub