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This project is a from-scratch implementation of diffusion model training in C++/CUDA. Inspired by Andrej Karpathy's [llm.c](https://github.com/karpathy/llm.c). The implementation is based on the U-Net architecture in the paper [Diffusion Models Beat GANs on Image Synthesis](https://arxiv.org/abs/2105.05233).
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#Train it
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## Training
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You can train it on the images from the ImageNet 64x64 dataset via
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