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.
| 📆 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!
- 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
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).