# SD.Next
**Stable Diffusion implementation with advanced features**
[](https://github.com/sponsors/vladmandic)
[](https://discord.gg/VjvR2tabEX)
### [Wiki](https://github.com/vladmandic/automatic/wiki) | [Discord](https://discord.gg/VjvR2tabEX) | [Changelog](CHANGELOG.md)
This project started as a fork from [Automatic1111 WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-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-13 Features (10 wasn't enough)
All Individual features are not listed here, instead check [ChangeLog](CHANGELOG.md) for full list of changes.
- Optimized processing with latest **torch** developments
Including built-in support for `torch.compile`
- Support for multiple backends!
**original** and **diffusers**
<<<<<<< HEAD
<<<<<<< HEAD
- Support for multiple diffusion models!
Stable Diffusion, SD-XL, Kandinsky, DeepFloyd IF, etc.
- Fully multiplatform with platform specific autodetection and tuning performed on install
Windows / Linux / MacOS with CPU / nVidia / AMD / Intel / DirectML
- 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 existing extensions ecosystem and new extensions manager
- Built in installer with automatic updates and dependency management
- Modernized UI (still based on Gradio) with theme support
=======
- Support for multiple diffusion models!
Stable Diffusion, SD-XL, Kandinsky, DeepFloyd IF, etc.
- Fully multiplatform with platform specific autodetection and tuning performed on install
Windows / Linux / MacOS with CPU / nVidia / AMD / IntelArc / DirectML
- 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 existing extensions ecosystem and new extensions manager
- Built in installer with automatic updates and dependency management
- Modernized UI (still based on Gradio) with theme support
>>>>>>> 26aee894 (Add pre-commit.)
=======
- Support for multiple diffusion models!
Stable Diffusion, SD-XL, Kandinsky, DeepFloyd IF, etc.
- Fully multiplatform with platform specific autodetection and tuning performed on install
Windows / Linux / MacOS with CPU / nVidia / AMD / Intel / DirectML
- 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 existing extensions ecosystem and new extensions manager
- Built in installer with automatic updates and dependency management
- Modernized UI (still based on Gradio) with theme support
>>>>>>> 75d5f19f (Exclude *.md from trailing-whitespace hook.)
## Backend support
**SD.Next** supports two main backends: *Original* and *Diffusers* which can be switched on-the-fly:
- **Original**: Based on [LDM](https://github.com/Stability-AI/stablediffusion) reference implementation and significantly expanded on by [A1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
This is the default backend and it is fully compatible with all existing functionality and extensions
- **Diffusers**: Based on new [Huggingface Diffusers](https://huggingface.co/docs/diffusers/index) implementation
It is also the only backend that supports **Stable Diffusion XL** model
See [wiki article](https://github.com/vladmandic/automatic/wiki/Diffusers) for more information
## Model support
Additional models will be added as they become available and there is public interest in them
- Stable Diffusion 1.x and 2.x including all variants
- Stable Diffusion XL
- Kandinsky 2.1 and 2.2
- DeepFloyd IF
- UniDiffusion
- SD-Distilled (all variants)
## 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
- *Intel Arc* GPUs using **OneAPI** with *IPEX XPU* libraries on both *Windows and Linux*
- 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* GPUs using **OpenVINO** libraries on both *Windows and Linux*
- *Apple M1/M2* on *OSX* using built-in support in Torch with **MPS** optimizations
## Install & Run
- [Step-by-step install guide](https://github.com/vladmandic/automatic/wiki/Installation)
- [Advanced install notes](https://github.com/vladmandic/automatic/wiki/Advanced-Install)
### Installation Notes
- [Common installation errors](https://github.com/vladmandic/automatic/discussions/1627)
- [FAQ](https://github.com/vladmandic/automatic/discussions/1011)
- Server can run without virtual environment,
but it is recommended to use it to avoid library version conflicts with other applications
- **nVidia/CUDA** / **AMD/ROCm** / **Intel/OneAPI** are auto-detected if 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
### Run
Once SD.Next is installed, simply run `webui.bat` (*Windows*) or `webui.sh` (*Linux or MacOS*)
Below is partial list of all available parameters, run `webui --help` for the full list:
Setup options:
--use-directml Use DirectML if no compatible GPU is detected, default: False
--use-openvino Use Intel OpenVINO backend, default: False
--use-ipex Force use Intel OneAPI XPU backend, 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:
- [ControlNet](https://github.com/Mikubill/sd-webui-controlnet)
- [Agent Scheduler](https://github.com/ArtVentureX/sd-webui-agent-scheduler)
- [Multi-Diffusion Tiled Diffusion and VAE](https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111)
- [LyCORIS](https://github.com/KohakuBlueleaf/a1111-sd-webui-lycoris)
- [Image Browser](https://github.com/AlUlkesh/stable-diffusion-webui-images-browser)
- [CLiP Interrogator](https://github.com/pharmapsychotic/clip-interrogator-ext)
- [Rembg Background Removal](https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg)
### **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 contributors 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](https://invoke-ai.github.io/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](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
- Additional credits are listed in [Credits](https://github.com/AUTOMATIC1111/stable-diffusion-webui/#credits)
- Licenses for modules are listed in [Licenses](html/licenses.html)
### **Docs**
- [Wiki](https://github.com/vladmandic/automatic/wiki)
- [ReadMe](README.md)
- [ToDo](TODO.md)
- [ChangeLog](CHANGELOG.md)
- [CLI Tools](cli/README.md)
### **Sponsors**
