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Hugging Face Diffusion Models Course

License   GitHub forks   Made with Jupyter   PyTorch

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:

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).

🌎 Languages and translations

Members of the 🤗 community have begin 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

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