huggingface/diffusion-models-class
A free course by Hugging Face covering the theory, implementation, and training of diffusion models for image and audio generation.
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This repository contains Jupyter Notebook-based course materials teaching diffusion models from theory to practice. Students learn to generate images and audio using the Hugging Face Diffusers library, train custom diffusion models from scratch, and fine-tune existing models on new datasets. The course covers conditional generation, guidance techniques, and building custom diffusion pipelines.
Frequently asked
- What is huggingface/diffusion-models-class?
- A free course by Hugging Face covering the theory, implementation, and training of diffusion models for image and audio generation.
- Is diffusion-models-class open source?
- Yes — huggingface/diffusion-models-class is open source, released under the Apache-2.0 license.
- What language is diffusion-models-class written in?
- huggingface/diffusion-models-class is primarily written in Jupyter Notebook.
- How popular is diffusion-models-class?
- huggingface/diffusion-models-class has 4.3k stars on GitHub.
- Where can I find diffusion-models-class?
- huggingface/diffusion-models-class is on GitHub at https://github.com/huggingface/diffusion-models-class.