SD.Next

Stable Diffusion implementation with advanced features

Docs | Discord | Changelog

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.

Top-10 Differentiators

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

Platform 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

Install

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 Problems

• Common Installation Errors
• Q&A Discussions

Installation Notes

• 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

Notes

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

Collab

• 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.

Goals

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

Credits

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

Docs

• Wiki
• ReadMe
• ToDo
• Changelog
• CLI Tools