In the problem sets, we use the library introduced in the first lecture (github.com/yuanchenyang...) to train diffusion models on custom data, as well as using pretrained models as building blocks for a variety of downstream tasks (see examples above).
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github.com
GitHub - yuanchenyang/smalldiffusion: Simple and readable code for training and sampling from diffusion models
Simple and readable code for training and sampling from diffusion models - yuanchenyang/smalldiffusion
