Stable Diffusion - Automatic

Heavily opinionated custom fork of https://github.com/AUTOMATIC1111/stable-diffusion-webui

Notes

Fork is as close as up-to-date with origin as time allows
All code changes are merged upstream whenever possible

Fork adds extra functionality:

• Ships with additional extensions
  e.g. System Info, Steps Animation, etc.
• Ships with set of CLI tools that rely on SD API for execution:
  e.g. generate, train, bench, etc.
  Full list

Fork does differ in few things:

• Different start script

  ./automatic.sh

• Drops compatibility with python 3.7 and requires 3.10
• 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
• 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 --force pip show torch
2.0.0.dev20230113+cu118

• Fork is compatible with regular PyTorch 1.13,
  But if you're using PyTorch 2.0 models will be auto-compiled and optimized on load using max-tune

Docs

Everything is in Wiki
Except my current TODO