Reimplementation of Stable Diffusion 3.5 in PyTorch for Educational Purposes
By
yousef_g
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Summary
miniDiffusion is a reimplementation of the Stable Diffusion 3.5 model in pure PyTorch with minimal dependencies, designed for educational and experimental purposes. It aims to recreate Stable Diffusion 3.5 with minimal code.
Key quotes
· 3 pulledIt's made with the mindset of having the least amount of code necessary to recreate Stable Diffusion 3.5 from scratch.
The main Stable Diffusion model code is located in dit.py, dit_components.py, and attention.py.
miniDiffusion is designed for educational, experimenting, and hacking purposes.
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