New error and exception handlers
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.
Does not rely on Accelerate as it only affects distributed systems
Optimized startup
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
Includes SD2 configuration files
Uses simplified folder structure
e.g. /train, /outputs/*, /models/*, etc.
Enhanced training templates
Built-in LoRA, LyCORIS, Custom Diffusion, Dreambooth training

User Interface

Includes updated UI: reskinned and reorganized
Black and orange dark theme with fixed width options panels and larger previews

Optimizations

Optimized for Torch 2.0
Runs with SDP memory attention enabled by default if supported by system
Fallback to XFormers if SDP is not supported
If either SDP or XFormers are not supported, falls back to usual cmd line arguments

Removed

Drops compatibility with python 3.7 and requires 3.9
Recommended is Python 3.10
Note that Python 3.11 or 3.12 are NOT supported
Drops localizations
Drops automated tests

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

Integrated Extensions

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

Note: Extensions are automatically updated to latest version on install

Start Script

Simplified start script: automatic.sh
Existing webui.sh/webui.bat scripts still exist for backward compatibility

./automatic.sh

Start in default mode with optimizations enabled

  Stable Diffusion server: optimized
  Version: a4d00060 Sun Mar 26 10:28:05 2023 -0400
  Repository: https://github.com/vladmandic/automatic
  Platform: Ubuntu 22.04.2 LTS 5.15.90.1-microsoft-standard-WSL2 x86_64
  Installing requirements for Web UI
  Launching Web UI with arguments: --cors-allow-origins=http://127.0.0.1:7860 --ckpt models/v1-5-pruned-emaonly.safetensors
  Torch 2.0.0+cu118 CUDA 11.8 cuDNN 8700
  GPU NVIDIA GeForce RTX 3060 VRAM 12288 Arch (8, 6) Cores 28
  Running on local URL:  http://127.0.0.1:7860
  Loading weights: models/v1-5-pruned-emaonly.safetensors ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/4.3 GB -:--:--
  Creating model from config: /home/vlado/dev/automatic/configs/v1-inference.yaml
  DiffusionWrapper has 859.52 M params.
  Loading weights: models/VAE/vae-ft-mse-840000-ema-pruned.ckpt ━━━━━━━━━━━━━━━━━━━━━━━ 0.0/334.7 MB -:--:--
  Applying scaled dot product cross attention optimization.
  Textual inversion embeddings loaded(2): ti-mia, ti-vlado
  Model loaded in 1.6s (load weights: 0.1s, create model: 0.3s, apply weights: 0.4s, load vae: 0.3s, device move: 0.5s).
  Startup time: 11.8s (import torch: 1.7s, import libraries: 1.0s, list models: 1.9s, load scripts: 1.0s, create ui: 4.4s, load checkpoint: 1.7s).
  Progress 6.55it/s ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00 0:00:04

./automatic.sh clean

Start with all optimizations disabled
Use this for troubleshooting

./automatic.sh install

Installs and updates to latest supported version:

Dependencies
Fixed sub-repositories
Extensions
Sub-modules

Does not update main repository

./automatic.sh update

Updates the main repository to the latest version
Recommended to run install after update to update dependencies as they may have changed

./automatic.sh help

Print all available options

./automatic.sh public

Start with listen on public IP with authentication enabled

Install

Install Python, Git
Install PyTorch See Wiki for details or TL;DR below
Clone and initialize repository

git clone https://github.com/vladmandic/automatic
cd automatic
./automatic.sh install

  SD server: install
  Version: 56f779a9 Sat Feb 25 14:04:19 2023 -0500
  Repository: https://github.com/vladmandic/automatic
  Last Merge: Sun Feb 19 10:11:25 2023 -0500 Merge pull request #37 from AUTOMATIC1111/master
  Installing general requirements
  Installing versioned requirements
  Installing requirements for Web UI
  Updating submodules
  Updating extensions
  Updating wiki
  Detached repos
  Local changes

Note: If you're not using automatic.sh launcher, install dependencies manually:

pip -r requirements.txt pip -r requirements_versions.txt

Other

Torch

Only Python library which is not auto-updated is PyTorch itself as that is very system specific
Fork is compatible with regular PyTorch 1.13, PyTorch 2.0 as well as pre-releases of PyTorch 2.1
TL;DR: Install PyTorch 2.0.0 compiled with CUDA 11.8:

pip install torch torchaudio torchvision triton --force --extra-index-url https://download.pytorch.org/whl/cu118

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