miniDiffusion is a streamlined PyTorch implementation of Stable Diffusion 3.5, built for educational and experimental purposes. It features minimal code and dependencies, including core components like VAE, CLIP, and T5 Text Encoders. The project aims to recreate Stable Diffusion functionality while maintaining simplicity.