mirror of https://github.com/vladmandic/automatic
179 lines
8.7 KiB
Markdown
179 lines
8.7 KiB
Markdown
<div align="center">
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# SD.Next
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**Stable Diffusion implementation with advanced features**
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<br>
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[](https://github.com/sponsors/vladmandic)
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[](https://discord.gg/VjvR2tabEX)
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### [Wiki](https://github.com/vladmandic/automatic/wiki) | [Discord](https://discord.gg/VjvR2tabEX) | [Changelog](CHANGELOG.md)
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</div>
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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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## Top-10 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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- Optimized processing with latest **torch** developments
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Including built-in support for `torch.compile`
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- Support for multiple backends!
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**original** and **diffusers**
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- Support for multiple diffusion models!
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Stable Diffusion, SD-XL, Kandinsky, DeepFloyd IF, etc.
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- Fully multiplatform with platform specific autodetection and tuning performed on install
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Windows / Linux / MacOS with CPU / nVidia / AMD / IntelArc / DirectML
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- Improved prompt parser
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- Enhanced *Lora*/*Locon*/*Lyco* code supporting latest trends in training
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- Built-in queue management
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- Advanced metadata caching and handling to speed up operations
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- Enterprise level logging and hardened API
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- Modern localization and hints engine
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- Broad compatibility with extisting extensions ecosystem and new extensions manager
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- Built in installer with automatic updates and dependency management
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- Modernized UI (still based on Gradio) with theme support
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## Backend support
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**SD.Next** supports two main backends: *Original* and *Diffusers* which can be switched on-the-fly:
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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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- **Diffusers**: Based on new [Huggingface Diffusers](https://huggingface.co/docs/diffusers/index) implementation
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It is also the only backend that supports **Stable Diffusion XL** model
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Support for legacy workflows and extensions is limited, but its being expanded
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See [wiki article](https://github.com/vladmandic/automatic/wiki/Diffusers) for more information
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## Model support
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Additional models will be added as they become available and there is public interest in them
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- Stable Diffusion 1.x and 2.x including all variants
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- Stable Diffusion XL
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- Kandinsky 2.1
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- DeepFloyd IF
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- UniDiffusion
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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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- Any GPU compatibile 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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- *Intel Arc* GPUs using *Intel OneAPI* **Ipex/XPU** libraries
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- *Apple M1/M2* on *OSX* using built-in support in Torch with **MPS** optimizations
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## Install
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1. Install first:
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**Python** & **Git**
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2. Clone repository
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`git clone https://github.com/vladmandic/automatic`
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3. Run launcher
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`webui.bat` or `webui.sh`:
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- Platform specific wrapper scripts For Windows, Linux and OSX
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- Starts `launch.py` in a Python virtual environment (`venv`)
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- Uses `install.py` to handle all actual requirements and dependencies
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### Common Problems
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- [Common Installation Errors](https://github.com/vladmandic/automatic/discussions/1627)
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- [Q&A Discussions](https://github.com/vladmandic/automatic/discussions/1011)
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### Installation Notes
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- Server can run without virtual environment,
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but it is recommended to use it to avoid library version conflicts with other applications
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- **nVidia/CUDA** and **AMD/ROCm** are auto-detected is present and available,
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but for any other use case specify required parameter explicitly or wrong packages may be installed
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as installer will assume CPU-only environment
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- Full startup sequence is logged in `sdnext.log`, so if you encounter any issues, please check it first
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Below is partial list of all available parameters, run `webui --help` for the full list:
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Setup options:
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--use-ipex Use Intel OneAPI XPU backend, default: False
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--use-directml Use DirectML if no compatible GPU is detected, default: False
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--use-cuda Force use nVidia CUDA backend, default: False
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--use-rocm Force use AMD ROCm backend, default: False
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--skip-update Skip update of extensions and submodules, default: False
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--skip-requirements Skips checking and installing requirements, default: False
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--skip-extensions Skips running individual extension installers, default: False
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--skip-git Skips running all GIT operations, default: False
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--skip-torch Skips running Torch checks, default: False
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--reinstall Force reinstallation of all requirements, default: False
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--debug Run installer with debug logging, default: False
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--reset Reset main repository to latest version, default: False
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--upgrade Upgrade main repository to latest version, default: False
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--safe Run in safe mode with no user extensions
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<br><br>
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## Notes
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### **Extensions**
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SD.Next comes with several extensions pre-installed:
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- [Dynamic Thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding)
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- [ControlNet](https://github.com/Mikubill/sd-webui-controlnet)
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- [Agent Scheduler](https://github.com/ArtVentureX/sd-webui-agent-scheduler)
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- [Multi-Diffusion Tiled Diffusion and VAE](https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111)
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- [LyCORIS](https://github.com/KohakuBlueleaf/a1111-sd-webui-lycoris)
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- [Image Browser](https://github.com/AlUlkesh/stable-diffusion-webui-images-browser)
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- [CLiP Interrogator](https://github.com/pharmapsychotic/clip-interrogator-ext)
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- [Rembg Background Removal](https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg)
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### **Collab**
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- To avoid having this repo rely just on me, I'd love to have additional maintainers with full admin rights. If you're interested, ping me!
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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 I would really love to have additional contibutors and/or maintainers to join and help lead the efforts on different platforms.
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### **Goals**
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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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If you are looking an amazing simple-to-use Stable Diffusion tool, I'd suggest [InvokeAI](https://invoke-ai.github.io/InvokeAI/) specifically due to its automated installer and ease of use.
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General goals:
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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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- 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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### **Docs**
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- [Wiki](https://github.com/vladmandic/automatic/wiki)
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- [ReadMe](README.md)
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- [ToDo](TODO.md)
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- [ChangeLog](CHANGELOG.md)
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- [CLI Tools](cli/README.md)
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<br>
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