https://github.com/vladmandic/sdnext
SD.Next: All-in-one for AI generative image
https://github.com/vladmandic/sdnext
a1111-webui ai-art automatic1111 diffusers generative-art img2img sdnext stable-diffusion stable-diffusion-ai stable-diffusion-webui txt2img
Last synced: 1 day ago
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SD.Next: All-in-one for AI generative image
- Host: GitHub
- URL: https://github.com/vladmandic/sdnext
- Owner: vladmandic
- License: agpl-3.0
- Created: 2022-12-24T20:59:11.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2025-04-12T15:37:39.000Z (2 days ago)
- Last Synced: 2025-04-12T18:32:12.551Z (2 days ago)
- Topics: a1111-webui, ai-art, automatic1111, diffusers, generative-art, img2img, sdnext, stable-diffusion, stable-diffusion-ai, stable-diffusion-webui, txt2img
- Language: Python
- Homepage: https://vladmandic.github.io/sdnext-docs/
- Size: 65.6 MB
- Stars: 6,183
- Watchers: 62
- Forks: 469
- Open Issues: 71
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING
- Funding: .github/FUNDING.yml
- License: LICENSE.txt
- Code of conduct: CODE_OF_CONDUCT
- Citation: CITATION.cff
- Security: SECURITY.md
Awesome Lists containing this project
- definitive-opensource - SD.Next - in-one for AI generative image | `SelfHost` | **6.2k** | (Table of Contents / AI Image GUI)
README
![]()
**Image Diffusion implementation with advanced features**


[](https://discord.gg/VjvR2tabEX)
[](https://github.com/sponsors/vladmandic)[Docs](https://vladmandic.github.io/sdnext-docs/) | [Wiki](https://github.com/vladmandic/sdnext/wiki) | [Discord](https://discord.gg/VjvR2tabEX) | [Changelog](CHANGELOG.md)
## Table of contents
- [Documentation](https://vladmandic.github.io/sdnext-docs/)
- [SD.Next Features](#sdnext-features)
- [Model support](#model-support)
- [Platform support](#platform-support)
- [Getting started](#getting-started)## SD.Next Features
All individual features are not listed here, instead check [ChangeLog](CHANGELOG.md) for full list of changes
- Fully localized:
▹ **English | Chinese | Russian | Spanish | German | French | Italian | Portuguese | Japanese | Korean**
- Multiple UIs!
▹ **Standard | Modern**
- Multiple [diffusion models](https://vladmandic.github.io/sdnext-docs/Model-Support/)!
- Built-in Control for Text, Image, Batch and video processing!
- Multiplatform!
▹ **Windows | Linux | MacOS | nVidia | AMD | IntelArc/IPEX | 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, quantize and compress
Compile backends: *Triton | StableFast | DeepCache | OneDiff | TeaCache | etc.*
Quantization and compression methods: *BitsAndBytes | TorchAO | Optimum-Quanto | NNCF*
- **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](https://vladmandic.github.io/sdnext-docs/Themes/)
## Model support
SD.Next supports broad range of models: [supported models](https://vladmandic.github.io/sdnext-docs/Model-Support/) and [model specs](https://vladmandic.github.io/sdnext-docs/Models/)
## 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 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** librariesPlus Docker container receipes for: [CUDA, ROCm, Intel IPEX and OpenVINO](https://vladmandic.github.io/sdnext-docs/Docker/)
## Getting started
- Get started with **SD.Next** by following the [installation instructions](https://vladmandic.github.io/sdnext-docs/Installation/)
- For more details, check out [advanced installation](https://vladmandic.github.io/sdnext-docs/Advanced-Install/) guide
- List and explanation of [command line arguments](https://vladmandic.github.io/sdnext-docs/CLI-Arguments/)
- Install walkthrough [video](https://www.youtube.com/watch?v=nWTnTyFTuAs)> [!TIP]
> And for platform specific information, check out
> [WSL](https://vladmandic.github.io/sdnext-docs/WSL/) | [Intel Arc](https://vladmandic.github.io/sdnext-docs/Intel-ARC/) | [DirectML](https://vladmandic.github.io/sdnext-docs/DirectML/) | [OpenVINO](https://vladmandic.github.io/sdnext-docs/OpenVINO/) | [ONNX & Olive](https://vladmandic.github.io/sdnext-docs/ONNX-Runtime/) | [ZLUDA](https://vladmandic.github.io/sdnext-docs/ZLUDA/) | [AMD ROCm](https://vladmandic.github.io/sdnext-docs/AMD-ROCm/) | [MacOS](https://vladmandic.github.io/sdnext-docs/MacOS-Python/) | [nVidia](https://vladmandic.github.io/sdnext-docs/nVidia/) | [Docker](https://vladmandic.github.io/sdnext-docs/Docker/)> [!WARNING]
> If you run into issues, check out [troubleshooting](https://vladmandic.github.io/sdnext-docs/Troubleshooting/) and [debugging](https://vladmandic.github.io/sdnext-docs/Debug/) guides### Contributing
Please see [Contributing](CONTRIBUTING) for details on how to contribute to this project
And for any question, reach out on [Discord](https://discord.gg/VjvR2tabEX) or open an [issue](https://github.com/vladmandic/sdnext/issues) or [discussion](https://github.com/vladmandic/sdnext/discussions)### Credits
- Main credit goes to [Automatic1111 WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) for the original codebase
- Additional credits are listed in [Credits](https://github.com/AUTOMATIC1111/stable-diffusion-webui/#credits)
- Licenses for modules are listed in [Licenses](html/licenses.html)### Evolution
- [OSS Stats](https://ossinsight.io/analyze/vladmandic/sdnext#overview)
### Docs
If you're unsure how to use a feature, best place to start is [Docs](https://vladmandic.github.io/sdnext-docs/) and if its not there,
check [ChangeLog](https://vladmandic.github.io/sdnext-docs/CHANGELOG/) for when feature was first introduced as it will always have a short note on how to use it