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I have reimplemented Stable Diffusion 3.5 from scratch in pure PyTorch
A reimplementation of Stable Diffusion 3.5 in pure PyTorch - yousef-rafat/miniDiffusion
miniDiffusion is a reimplementation of the Stable Diffusion 3.5 model in pure PyTorch with minimal dependencies. It's made with the mindset of having the least amount of code necessary to recreate Stable Diffusion 3.5 from scratch, with only ~2800 spanning from VAE to DiT to the Train and Dataset scripts. Multi-Modal Diffusion Transformer Model Flow-Matching Euler Scheduler Logit-Normal Sampling Joint Attention
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