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FreeHugging Face Diffusion Models Course
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The course pairs the theory of diffusion models with hands-on work using the Diffusers library. It moves from building a diffusion model from scratch, to fine-tuning existing ones, and then to conditional generation and guidance.
Good Python and a grounding in deep learning and PyTorch are expected. Each unit combines a theory section with reading resources and two notebooks, so expect to move between papers and code.
In this free course, you will:
Prerequisites
This course requires a good level in Python and a grounding in deep learning and Pytorch.
What is the syllabus?
The course consists in four units. Each unit is made up of a theory section, which also lists resources/papers, and two notebooks. More specifically, we have:
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