diffusion-course/pr_113/en/README.md

# Hugging Face Diffusion Models Course

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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](https://huggingface.us17.list-manage.com/subscribe?u=7f57e683fa28b51bfc493d048&id=ef963b4162)** and then join us on **[Discord](https://discord.gg/aYka4Yhff9)** to get the conversations started. Instructions on how to join specific categories/channels **[are here.](https://discord.com/channels/879548962464493619/1014509271255367701)**

## Syllabus

| 📆 Publishing date  | 📘 Unit           | 👩‍💻 Hands-on |
|---------------|----------------------------------------------------------|----------------------------------------------------------------------------------------------------------|
| November 28, 2022  | [An Introduction to Diffusion Models](https://github.com/huggingface/diffusion-models-class/tree/main/unit1)| Introduction to Diffusers and Diffusion Models From Scratch |
| December 12, 2022  | [Fine-Tuning and Guidance](https://github.com/huggingface/diffusion-models-class/tree/main/unit2) | Fine-Tuning a Diffusion Model on New Data and Adding Guidance |
| December 21, 2022  | [Stable Diffusion](https://github.com/huggingface/diffusion-models-class/tree/main/unit3) | Exploring a Powerful Text-Conditioned Latent Diffusion Model |
| January 2023 (TBC)  | [Doing More with Diffusion](https://github.com/huggingface/diffusion-models-class/tree/main/unit4) | 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](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](https://huggingface.co/), 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](https://github.com/darcula1993/diffusion-models-class-CN/blob/main/README_CN.md)     | [@darcula1993](https://github.com/darcula1993) [@XhrLeokk](https://github.com/XhrLeokk) [@SuSung-boy](https://github.com/SuSung-boy) [@Hoi2022](https://github.com/Hoi2022)|
| [Japanese](https://github.com/eltociear/diffusion-models-class-JA/blob/main/README_JA.md)     | [@eltociear](https://github.com/eltociear) [@nazuki155](https://github.com/nazuki155)|
| [Korean](https://github.com/deep-diver/diffusion-models-class/blob/main/README_KR.md)     | [@deep-diver](https://github.com/deep-diver)