This project started as a fork from Automatic1111 WebUI and it grew significantly since then, but although it diverged considerably, any substantial features to original work is ported to this repository as well.

All Individual features are not listed here, instead check Changelog for full list of changes.

• Optimized backend with latest torch developments
  Including built-in support for torch.compile
• Support for diffusers as well as standard ldm backend
  Support for diffusers includes multiple models other than standard Stable Diffusion
  such as SD-XL, Kandinsky, DeepFloyd IF (and many more in the near future)
• Fully multiplatform with platform specific autodetection and tuning performed on install
• Improved prompt parser
• Enhanced Lora/Locon/Lyco code supporting latest trends in training
• Built-in queue management
• Advanced metadata caching and handling to speed up operations
• Enterprise level logging and hardened API
• Modern localization and hints engine
• Broad compatibility with extisting extensions ecosystem and new extensions manager
• Built in installer with automatic updates and dependency management
• Modernized UI (still based on Gradio) with theme support

• nVidia GPUs using CUDA libraries on both Windows and Linux
• AMD GPUs using ROCm libraries on Linux
  Support will be extended to Windows once AMD releases ROCm for Windows
• Any GPU compatibile with DirectX on Windows using DirectML libraries
  This includes support for AMD GPUs that are not supported by native ROCm libraries
• Intel Arc GPUs using Intel OneAPI Ipex/XPU libraries
• Apple M1/M2 on OSX using built-in support in Torch with MPS optimizations

1. Install first:
   Python & Git
2. Clone repository
   git clone https://github.com/vladmandic/automatic
3. Run launcher
   webui.bat or webui.sh:
   • Platform specific wrapper scripts For Windows, Linux and OSX
   • Starts sdnext.py in a Python virtual environment (venv)
   • Uses install.py to handle all actual requirements and dependencies

• Common Installation Errors
• Q&A Discussions

• Server can run without virtual environment,
  but it is recommended to use it to avoid library version conflicts with other applications
• nVidia/CUDA and AMD/ROCm are auto-detected is present and available,
  but for any other use case specify required parameter explicitly or wrong packages may be installed
  as installer will assume CPU-only environment.
• Full startup sequence is logged in sdnext.log, so if you encounter any issues, please check it first.

Below is partial list of all available parameters, run webui --help for the full list:

Setup options:
  --use-ipex                       Use Intel OneAPI XPU backend, default: False
  --use-directml                   Use DirectML if no compatible GPU is detected, default: False
  --use-cuda                       Force use nVidia CUDA backend, default: False
  --use-rocm                       Force use AMD ROCm backend, default: False
  --skip-update                    Skip update of extensions and submodules, default: False
  --skip-requirements              Skips checking and installing requirements, default: False
  --skip-extensions                Skips running individual extension installers, default: False
  --skip-git                       Skips running all GIT operations, default: False
  --skip-torch                     Skips running Torch checks, default: False
  --reinstall                      Force reinstallation of all requirements, default: False
  --debug                          Run installer with debug logging, default: False
  --reset                          Reset main repository to latest version, default: False
  --upgrade                        Upgrade main repository to latest version, default: False
  --safe                           Run in safe mode with no user extensions

SD.Next comes with several extensions pre-installed:

• Dyanmic Thresholding
• ControlNet
• Agent Scheduler
• Multi-Diffusion Tiled Diffusion and VAE
• LyCORIS
• Image Browser
• CLiP Interrogator
• Rembg Background Removal

• To avoid having this repo rely just on me, I'd love to have additional maintainers with full admin rights. If you're interested, ping me!
• In addition to general cross-platform code, desire is to have a lead for each of the main platforms. This should be fully cross-platform, but I would really love to have additional contibutors and/or maintainers to join and help lead the efforts on different platforms.

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.

General goals:

• Cross-platform
  • Create uniform experience while automatically managing any platform specific differences
• Performance
  • Enable best possible performance on all platforms
• Ease-of-Use
  • Automatically handle all requirements, dependencies, flags regardless of platform
  • Integrate all best options for uniform out-of-the-box experience without the need to tweak anything manually
• Look-and-Feel
  • Create modern, intuitive and clean UI
• Up-to-Date
  • Keep code up to date with latest advanced in text-to-image generation

• Main credit goes to Automatic1111 WebUI
• Additional credits are listed in Credits
• Licenses for modules are listed in Licenses

• Wiki
• ReadMe
• ToDo
• Changelog
• CLI Tools