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https://github.com/huggingface/diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
https://github.com/huggingface/diffusion-models-class
Last synced: about 22 hours ago
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Materials for the Hugging Face Diffusion Models Course
- Host: GitHub
- URL: https://github.com/huggingface/diffusion-models-class
- Owner: huggingface
- License: apache-2.0
- Created: 2022-10-13T09:13:48.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-19T15:58:21.000Z (4 months ago)
- Last Synced: 2024-12-04T12:06:33.322Z (8 days ago)
- Language: Jupyter Notebook
- Size: 124 MB
- Stars: 3,691
- Watchers: 96
- Forks: 395
- Open Issues: 20
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-generative-ai - Hugging Face Diffusion Models Course - Python materials for the online course on diffusion models by [@huggingface](https://github.com/huggingface). (Image / Stable Diffusion resources)
- awesome-generative-ai - Hugging Face Diffusion Models Course - Online course materials on diffusion models by [@huggingface](https://github.com/huggingface). (Stable Diffusion Resources)
- awesome-ai-tools - Hugging Face Diffusion Models Course - Python materials for the online course on diffusion models by [@huggingface](https://github.com/huggingface). (Image / Stable Diffusion resources)
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README
# Hugging Face Diffusion Models Course
[](https://github.com/huggingface/diffusion-models-class/blob/main/LICENSE)
[](https://github.com/dhakalnirajan/diffusion-models-class)
[](https://jupyter.org/try)
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)