# Stable Diffusion - Automatic *Heavily opinionated custom fork of* ![](docs/screenshot.jpg)
## Notes Fork is as close as up-to-date with origin as time allows All code changes are merged upstream whenever possible Fork does differ in few things: - Different start script > ./automatic.sh - Drops compatibility with `python` **3.7** and requires **3.10** - If you're using **PyTorch 2.0** models will be auto-compiled and optimized on load Using `max-tune` - Updated **Python** libraries to latest known compatible versions e.g. `accelerate`, `transformers`, `numpy`, etc. - Includes opinionated **System** and **Options** configuration e.g. `samplers`, `upscalers`, etc. - Includes reskinned **UI** Black and orange dark theme with fixed width options panels and larger previews - Includes **SD2** configuration files - Ships with additional **extensions** e.g. `System Info` - Uses simplified folder structure e.g. `/train`, `/outputs/*` - Modified training templates Only Python library which is not auto-updated is `PyTorch` itself as that is very system specific I'm currently using **PyTorch 2.0-nightly** compiled with **CUDA 11.8** and with **Triton** optimizations: > pip3 install --pre torch torchvision torchaudio torchtriton --extra-index-url https://download.pytorch.org/whl/nightly/cu118 > pip show torch > 2.0.0.dev20230111+cu118
## Docs - **TBD**: Currently hosted in - [Original WIKI](wiki) - [Original README](docs/README.md) - [Original Feature Showcase](docs/feature-showcase)