SD.Next: All-in-one WebUI for AI generative image and video creation

Docs | Wiki | Discord | Changelog

• Documentation
• SD.Next Features
• Model support
• Platform support
• Getting started

All individual features are not listed here, instead check ChangeLog for full list of changes

• Fully localized: ▹ English | Chinese | Russian | Spanish | German | French | Italian | Portuguese | Japanese | Korean
• Multiple UIs!
  ▹ Standard | Modern
• Multiple diffusion models!
• Built-in Control for Text, Image, Batch and Video processing!
• Multiplatform!
  ▹ Windows | Linux | MacOS | nVidia CUDA | AMD ROCm | Intel Arc / IPEX XPU | DirectML | OpenVINO | ONNX+Olive | ZLUDA
• Platform specific autodetection and tuning performed on install
• Optimized processing with latest torch developments with built-in support for model compile and quantize
  Compile backends: Triton | StableFast | DeepCache | OneDiff | TeaCache | etc.
  Quantization methods: SDNQ | BitsAndBytes | Optimum-Quanto | TorchAO
• Interrogate/Captioning with 150+ OpenCLiP models and 20+ built-in VLMs
• Built-in queue management
• Built in installer with automatic updates and dependency management
• Mobile compatible

Main interface using StandardUI:

Main interface using ModernUI:

For screenshots and informations on other available themes, see Themes

SD.Next supports broad range of models: supported models and model specs

• 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 compatible with DirectX on Windows using DirectML libraries
  This includes support for AMD GPUs that are not supported by native ROCm libraries
• Any GPU or device compatible with OpenVINO libraries on both Windows and Linux
• Apple M1/M2 on OSX using built-in support in Torch with MPS optimizations
• ONNX/Olive
• AMD GPUs on Windows using ZLUDA libraries

Plus Docker container receipes for: CUDA, ROCm, Intel IPEX and OpenVINO

• Get started with SD.Next by following the installation instructions
• For more details, check out advanced installation guide
• List and explanation of command line arguments
• Install walkthrough video

Please see Contributing for details on how to contribute to this project
And for any question, reach out on Discord or open an issue or discussion

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

• OSS Stats

If you're unsure how to use a feature, best place to start is Docs and if its not there,
check ChangeLog for when feature was first introduced as it will always have a short note on how to use it