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

Syllabus

📆 Publishing date	📘 Unit	👩‍💻 Hands-on
TBA	An Introduction to Diffusion Models	Introduction to Diffusers and Diffusion Models From Scratch
TBA	Fine-Tuning and Guidance	Fine-Tuning a Diffusion Model on New Data and Adding Guidance
TBA	Stable Diffusion Intro	Exploring a Powerful Text-Conditioned Latent Diffusion Model
TBA	Stable Diffusion Deep Dive	Fine-Tuning, Sampling Tricks and Custom Pipelines

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 60min: 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 alongisde 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).