mirror of https://github.com/vladmandic/automatic
114 lines
6.3 KiB
Markdown
114 lines
6.3 KiB
Markdown
<div align="center">
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<img src="https://github.com/vladmandic/automatic/raw/master/html/logo-transparent.png" width=200 alt="SD.Next">
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**Image Diffusion implementation with advanced features**
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[](https://discord.gg/VjvR2tabEX)
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[](https://github.com/sponsors/vladmandic)
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[Docs](https://vladmandic.github.io/sdnext-docs/) | [Wiki](https://github.com/vladmandic/automatic/wiki) | [Discord](https://discord.gg/VjvR2tabEX) | [Changelog](CHANGELOG.md)
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</div>
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</br>
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## Table of contents
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- [Documentation](https://vladmandic.github.io/sdnext-docs/)
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- [SD.Next Features](#sdnext-features)
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- [Model support](#model-support) and [Specifications]()
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- [Platform support](#platform-support)
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- [Getting started](#getting-started)
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## SD.Next Features
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All individual features are not listed here, instead check [ChangeLog](CHANGELOG.md) for full list of changes
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- Multiple UIs!
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▹ **Standard | Modern**
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- Multiple [diffusion models](https://vladmandic.github.io/sdnext-docs/Model-Support/)!
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- Built-in Control for Text, Image, Batch and video processing!
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- Multiplatform!
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▹ **Windows | Linux | MacOS | nVidia | AMD | IntelArc/IPEX | DirectML | OpenVINO | ONNX+Olive | ZLUDA**
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- Platform specific autodetection and tuning performed on install
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- Optimized processing with latest `torch` developments with built-in support for model compile, quantize and compress
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Compile backends: *Triton | StableFast | DeepCache | OneDiff*
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Quantization and compression methods: *BitsAndBytes | TorchAO | Optimum-Quanto | NNCF*
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- Built-in queue management
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- Built in installer with automatic updates and dependency management
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- Mobile compatible
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<br>
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*Main interface using **StandardUI***:
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*Main interface using **ModernUI***:
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For screenshots and informations on other available themes, see [Themes](https://vladmandic.github.io/sdnext-docs/Themes/)
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<br>
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## Model support
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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/)
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## Platform support
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- *nVidia* GPUs using **CUDA** libraries on both *Windows and Linux*
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- *AMD* GPUs using **ROCm** libraries on *Linux*
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Support will be extended to *Windows* once AMD releases ROCm for Windows
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- *Intel Arc* GPUs using **OneAPI** with *IPEX XPU* libraries on both *Windows and Linux*
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- Any GPU compatible with *DirectX* on *Windows* using **DirectML** libraries
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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*
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- *AMD* GPUs on Windows using **ZLUDA** libraries
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## Getting started
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- Get started with **SD.Next** by following the [installation instructions](https://vladmandic.github.io/sdnext-docs/Installation/)
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- For more details, check out [advanced installation](https://vladmandic.github.io/sdnext-docs/Advanced-Install/) guide
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- List and explanation of [command line arguments](https://vladmandic.github.io/sdnext-docs/CLI-Arguments/)
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- Install walkthrough [video](https://www.youtube.com/watch?v=nWTnTyFTuAs)
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> [!TIP]
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> And for platform specific information, check out
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> [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/)
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> [!WARNING]
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> 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
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### Credits
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- Main credit goes to [Automatic1111 WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) for the original codebase
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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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### Evolution
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<a href="https://star-history.com/#vladmandic/automatic&Date">
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<picture width=640>
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<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=vladmandic/automatic&type=Date&theme=dark" />
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<img src="https://api.star-history.com/svg?repos=vladmandic/automatic&type=Date" alt="starts" width="320">
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</picture>
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</a>
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- [OSS Stats](https://ossinsight.io/analyze/vladmandic/automatic#overview)
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### Docs
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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,
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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
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### Sponsors
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<div align="center">
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<!-- sponsors --><a href="https://github.com/allangrant"><img src="https://github.com/allangrant.png" width="60px" alt="Allan Grant" /></a><a href="https://github.com/BrentOzar"><img src="https://github.com/BrentOzar.png" width="60px" alt="Brent Ozar" /></a><a href="https://github.com/mantzaris"><img src="https://github.com/mantzaris.png" width="60px" alt="a.v.mantzaris" /></a><a href="https://github.com/CurseWave"><img src="https://github.com/CurseWave.png" width="60px" alt="" /></a><a href="https://github.com/smlbiobot"><img src="https://github.com/smlbiobot.png" width="60px" alt="SML (See-ming Lee)" /></a><!-- sponsors -->
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</div>
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<br>
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