All individual features are not listed here, instead check ChangeLog for full list of changes
- Multiple backends!
▹ Diffusers | Original - Multiple UIs!
▹ Standard | Modern - Multiple diffusion models!
▹ Stable Diffusion 1.5/2.1/XL/3.0/3.5 | LCM | Lightning | Segmind | Kandinsky | Pixart-α | Pixart-Σ | Stable Cascade | FLUX.1 | AuraFlow | Würstchen | Alpha Lumina | Kwai Kolors | aMUSEd | DeepFloyd IF | UniDiffusion | SD-Distilled | BLiP Diffusion | KOALA | SDXS | Hyper-SD | HunyuanDiT | CogView | OmniGen | Meissonic | etc. - Built-in Control for Text, Image, Batch and video processing!
▹ ControlNet | ControlNet XS | Control LLLite | T2I Adapters | IP Adapters - Multiplatform!
▹ Windows | Linux | MacOS with CPU | nVidia | AMD | IntelArc/IPEX | DirectML | OpenVINO | ONNX+Olive | ZLUDA - Platform specific autodetection and tuning performed on install
- Optimized processing with latest
torchdevelopments with built-in support fortorch.compile
and multiple compile backends: Triton, ZLUDA, StableFast, DeepCache, OpenVINO, NNCF, IPEX, OneDiff - Improved prompt parser
- Enhanced Lora/LoCon/Lyco code supporting latest trends in training
- Built-in queue management
- Enterprise level logging and hardened API
- Built in installer with automatic updates and dependency management
- Modernized UI with theme support and number of built-in themes (dark and light)
- Mobile compatible
Main interface using StandardUI:
Main interface using ModernUI:
For screenshots and informations on other available themes, see Themes Wiki
Additional models will be added as they become available and there is public interest in them
See models overview for details on each model, including their architecture, complexity and other info
- RunwayML Stable Diffusion 1.x and 2.x (all variants)
- StabilityAI Stable Diffusion XL
- StabilityAI Stable Diffusion
- Stable Diffusion 3.x 3.0 Medium, 3.5 Medium, 3.5 Large, 3.5 Large Turbo
- StabilityAI Stable Video Diffusion Base, XT 1.0, XT 1.1
- StabilityAI Stable Cascade Full and Lite
- Black Forest Labs FLUX.1 Dev, Schnell
- AuraFlow
- AlphaVLLM Lumina-Next-SFT
- Playground AI v1, v2 256, v2 512, v2 1024 and latest v2.5
- Tencent HunyuanDiT
- OmniGen
- Meissonic
- Kwai Kolors
- CogView 3+
- LCM: Latent Consistency Models
- aMUSEd 256 and 512
- Segmind Vega
- Segmind SSD-1B
- Segmind SegMoE SD and SD-XL
- Segmind SD Distilled (all variants)
- Kandinsky 2.1 and 2.2 and latest 3.0
- PixArt-α XL 2 Medium and Large
- PixArt-Σ
- Warp Wuerstchen
- Tsinghua UniDiffusion
- DeepFloyd IF Medium and Large
- ModelScope T2V
- BLIP-Diffusion
- KOALA 700M
- VGen
- SDXS
- Hyper-SD
Also supported are modifiers such as:
- LCM, Turbo and Lightning (adversarial diffusion distillation) networks
- All LoRA types such as LoCon, LyCORIS, HADA, IA3, Lokr, OFT
- IP-Adapters for SD 1.5 and SD-XL
- InstantID, FaceSwap, FaceID, PhotoMerge
- AnimateDiff for SD 1.5
- MuLAN multi-language 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 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
SD.Next supports two main backends: Diffusers and Original:
- Diffusers: Based on new Huggingface Diffusers implementation
Supports all models listed below
This backend is set as default for new installations
See wiki article for more information - Original: Based on LDM reference implementation and significantly expanded on by A1111
This backend and is fully compatible with most existing functionality and extensions written for A1111 SDWebUI
Supports SD 1.x and SD 2.x models
All other model types such as SD-XL, LCM, Stable Cascade, PixArt, Playground, Segmind, Kandinsky, etc. require backend Diffusers
IP Adapters:
Color grading:
InstantID:
Important
- Loading any model other than standard SD 1.x / SD 2.x requires use of backend Diffusers
- Loading any other models using Original backend is not supported
- Loading manually download model
.safetensorsfiles is supported for specified models only (typically SD 1.x / SD 2.x / SD-XL models only) - For all other model types, use backend Diffusers and use built in Model downloader or
select model from Networks -> Models -> Reference list in which case it will be auto-downloaded and loaded
- Step-by-step install guide
- Advanced install notes
- Video: install and use
- Common installation errors
- FAQ
Tip
- If you can't run SD.Next locally, try cloud deployment using RunDiffusion!
- Server can run with or without virtual environment,
Recommended to useVENVto avoid library version conflicts with other applications - nVidia/CUDA / AMD/ROCm / Intel/OneAPI are auto-detected if present and available,
For any other use case such as DirectML, ONNX/Olive, OpenVINO 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
Once SD.Next is installed, simply run webui.ps1 or webui.bat (Windows) or webui.sh (Linux or MacOS)
For list of available command line options, run webui --help for the full & up-to-date list
Tip
All command line options can also be set via env variable
For example --debug is same as set SD_DEBUG=true
Tip
If you don't want to use built-in venv support and prefer to run SD.Next in your own environment such as Docker container, Conda environment or any other virtual environment, you can skip venv create/activate and launch SD.Next directly using python launch.py (command line flags noted above still apply).
SD.Next comes with broad quantization support, including support for BitsAndBytes, Optimum.Quanto, TorchAO, NNCF and GGUF See Quantization Wiki
SD.Next comes with built-in control for all types of text2image, image2image, video2video and batch processing
Control interface:
Control processors:
Masking:
SD.Next comes with several extensions pre-installed:
- We'd love to have additional maintainers (with comes with full repo rights). If you're interested, ping us!
- 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 we'd really love to have additional contributors and/or maintainers to join and help lead the efforts on different platforms
- Main credit goes to Automatic1111 WebUI for original codebase
- Additional credits are listed in Credits
- Licenses for modules are listed in Licenses
If you're unsure how to use a feature, best place to start is Wiki 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
