Shypd.aiThe largest open index of AI toolsminiDiffusion is an open-source image generation tool that reimplements Stable Diffusion 3.5 in pure PyTorch. It is designed for educational, experimenting, and hacking purposes, focusing on minimal code.
Trending
Also listed in
About
miniDiffusion is a reimplementation of the Stable Diffusion 3.5 model, built entirely in pure PyTorch with a focus on minimal dependencies. This tool is specifically designed for educational, experimental, and hacking purposes, aiming to recreate Stable Diffusion 3.5 from scratch with the least amount of code necessary. The project encompasses approximately 2800 lines of code, covering components from VAE to DiT, as well as training and dataset scripts. Key features include implementations of VAE, CLIP, and T5 Text Encoders, Byte-Pair & Unigram tokenizers, the Multi-Modal Diffusion Transformer Model, Flow-Matching Euler Scheduler, Logit-Normal Sampling, and Joint Attention. It also provides scripts for training and inference for SD3.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
