Stable Diffusion - Automatic

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

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

The idea behind the fork is to enable latest technologies and advances in text-to-image generation
Sometimes this is not the same as "as simple as possible to use"
If you are looking an amazing simple-to-use Stable Diffusion tool, I'd suggest InvokeAI specifically due to its automated installer and ease of use

Follow Development updates for daily updates on new features/fixes

Notes

Fork does differ in few things

• New installer
• Advanced CUDA tuning
  Available in UI Settings
• Advanced environment tuning
• Optimized startup and models lazy-loading
• Built-in performance profiler
• Updated libraries to latest known compatible versions
• Includes opinionated System and Options configuration
• Does not rely on Accelerate as it only affects distributed systems
  Gradio web server will be initialized much earlier which model load is done in the background
  Faster model loading plus ability to fallback on corrupt models
• Uses simplified folder structure
  e.g. /train, /outputs/*, /models/*, etc.
• Enhanced training templates
• Built-in LoRA, LyCORIS, Custom Diffusion, Dreambooth training
• Majority of settings configurable via UI without the need for command line flags
  e.g, cross-optimization methods, system folders, etc.
• New logger
• New error and exception handlers

Optimizations

• Optimized for Torch 2.0
• Runs with SDP memory attention enabled by default if supported by system
  Note: xFormers and other cross-optimization methods are still available
• Auto-adjust parameters when running on CPU or CUDA
  Note: AMD and M1 platforms are supported, but without out-of-the-box optimizations

Integrated Extensions

Hand-picked list of extensions that are deeply integrated into core workflows:

• System Info
• ControlNet
• Image Browser
• LORA (both training and inference)
• LyCORIS (both training and inference)
• Model Converter
• CLiP Interrogator
• Dynamic Thresholding
• Steps Animation
• Seed Travel
• Multi-Diffusion Upscaler

User Interface

• Includes updated UI: reskinned and reorganized
  Black and orange dark theme with fixed width options panels and larger previews
• Includes support for Gradio themes
  Settings -> User interface -> UI theme
  Link to themes list & previews: https://huggingface.co/spaces/gradio/theme-gallery

Removed

• Drops compatibility with older versions of python and requires 3.9 or 3.10
• Drops localizations

Integrated CLI/API tools

Fork adds extra functionality:

• New skin and UI layout
• Ships with set of CLI tools that rely on SD API for execution:
  e.g. generate, train, bench, etc.
  Full list

Install

1. Install first:
   Python & Git
2. If you have nVidia GPU, install nVidia CUDA toolkit:
   https://developer.nvidia.com/cuda-downloads
3. Clone repository
   git clone https://github.com/vladmandic/automatic

Run

Run desired startup script to install dependencies and extensions and start server:

• webui.bat and webui.sh:
  Platform specific wrapper scripts For Windows, Linux and OSX
  Starts launch.py in a Python virtual environment (venv)
  Note: Server can run without virtual environment, but it is recommended to use it to avoid library version conflicts with other applications
  If you're unsure which launcher to use, this is the one you want
• launch.py:
  Main startup script
  Can be used directly to start server in a manually activated venv or to run server without venv
• setup.py:
  Main installer, used by launch.py
  Can also be used directly to update repository or extensions
  If running manually, make sure to activate venv first (if used)
• webui.py:
  Main server script

Any of the above scripts can be used with --help to display detailed usage information and available parameters
For example:

webui.bat --help

Full startup sequence is logged in setup.log, so if you encounter any issues, please check it first

Update

The launcher can perform automatic update of main repository, requirements, extensions and submodules:

• Main repository:
  Update is not performed by default, enable with --upgrade flag
• Requirements:
  Check is performed on each startup and missing requirements are auto-installed
  Can be skipped with --skip-requirements flag
• Extensions and submodules:
  Update is performed on each startup and installer for each extension is started
  Can be skipped with --skip-extensions flag
• Quick mode: Automatically enabled if timestamp of last sucessful setup is newer than actual repository version or version of newest extension

Other

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