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:

• New skin and UI layout
• 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

Simplified start script: automatic.sh
Existing webui.sh/webui.bat still exist for backward compatibility, fresh installs to auto-install dependencies, etc.

./automatic.sh

• Start in default mode with optimizations enabled
  Additionally print environment info during startup
  Example:

  Version: c07487a Tue Jan 24 08:04:31 2023 -0500
  Platform: Ubuntu 22.04.1 LTS 5.15.79.1-microsoft-standard-WSL2 x86_64
  Python 3.10.6
  Torch: 2.0.0.dev20230118+cu118 CUDA: 11.8 cuDNN: 8700 GPU: NVIDIA GeForce RTX 3060 Arch: (8, 6)
  

./automatic.sh public

• Start with listen on public IP with authentication enabled

./automatic.sh clean

• Start with all optimizations disabled
  Use this for troubleshooting

./automatic.sh install

• Install dependencies and refresh extensions

Install

1. Install PyTorch first
2. Clone and initialize repository

git clone --depth 1 https://github.com/vladmandic/automatic
cd automatic
git submodule update --init --recursive

3. Install dependencies

./automatic.sh install

Differences

Fork does differ in few things:

• Drops compatibility with python 3.7 and requires 3.9
• 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
For some Torch optimizations notes, see Wiki

Fork is compatible with regular PyTorch 1.13 as well as pre-release of PyTorch 2.0
See Wiki for Torch optimization notes

Scripts

This repository comes with a large collection of scripts that can be used to process inputs, train, generate, and benchmark models

As well as number of auxiliary scripts that do not rely on WebUI, but can be used for end-to-end solutions such as extract frames from videos, etc.

For full details see Docs

Docs

• Scripts are in Scripts
• Everything else is in Wiki
• Except my current TODO