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For screenshots and informations on other available themes, see [Themes Wiki](https://github.com/vladmandic/automatic/wiki/Themes)
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<br>
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## Backend support
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**SD.Next** supports two main backends: *Original* and *Diffusers*:
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**SD.Next** supports two main backends: *Diffusers* and *Original*:
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-**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)
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This is the default backend and it is fully compatible with all existing functionality and extensions
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Supports **SD 1.x** and **SD 2.x** models
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All other model types such as *SD-XL, LCM, PixArt, Segmind, Kandinsky, etc.* require backend **Diffusers**
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-**Diffusers**: Based on new [Huggingface Diffusers](https://huggingface.co/docs/diffusers/index) implementation
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Supports *original* SD models as well as *all* models listed below
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This backend is set as default for new installations
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See [wiki article](https://github.com/vladmandic/automatic/wiki/Diffusers) for more information
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-**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)
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This backend and is fully compatible with most existing functionality and extensions written for *A1111 SDWebUI*
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Supports **SD 1.x** and **SD 2.x** models
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All other model types such as *SD-XL, LCM, PixArt, Segmind, Kandinsky, etc.* require backend **Diffusers**
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## Control
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**SD.Next** comes with built-in control for all types of text2image, image2image, video2video and batch processing
> - Loading any model other than standard SD 1.x / SD 2.x requires use of backend **Diffusers**
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This includes support for AMD GPUs that are not supported by native ROCm libraries
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- Any GPU or device compatible with **OpenVINO** libraries on both *Windows and Linux*
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-*Apple M1/M2* on *OSX* using built-in support in Torch with **MPS** optimizations
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-*ONNX/Olive*(experimental)
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-*ONNX/Olive*
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## Install
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@@ -143,7 +167,6 @@ Below is partial list of all available parameters, run `webui --help` for the fu
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--docs Mount Gradio docs at /docs, default: False
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--no-hashing Disable hashing of checkpoints, default: False
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--no-metadata Disable reading of metadata from models, default: False
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--no-download Disable download of default model, default: False
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--backend {original,diffusers} force model pipeline type
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Setup options:
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- In addition to general cross-platform code, desire is to have a lead for each of the main platforms.
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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.
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### **Goals**
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This project started as a fork from [Automatic1111 WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui/) and it grew significantly since then,
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but although it diverged considerably, any substantial features to original work is ported to this repository as well.
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The idea behind the fork is to enable latest technologies and advances in text-to-image generation.
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*Sometimes this is not the same as "as simple as possible to use".*
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General goals:
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- Multi-model
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- Enable usage of as many as possible txt2img and img2img generative models
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- Cross-platform
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- Create uniform experience while automatically managing any platform specific differences
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- Performance
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- Enable best possible performance on all platforms
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- Ease-of-Use
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- Automatically handle all requirements, dependencies, flags regardless of platform
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- Integrate all best options for uniform out-of-the-box experience without the need to tweak anything manually
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- Look-and-Feel
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- Create modern, intuitive and clean UI
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- Up-to-Date
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- Keep code up to date with latest advanced in text-to-image generation
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## Credits
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### **Credits**
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- Main credit goes to [Automatic1111 WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
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- Additional credits are listed in [Credits](https://github.com/AUTOMATIC1111/stable-diffusion-webui/#credits)
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- Licenses for modules are listed in [Licenses](html/licenses.html)
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