Merge pull request #1729 from BinaryQuantumSoul/master

README improvements
This commit is contained in:
Vladimir Mandic
2023-07-17 12:33:45 -04:00
committed by GitHub
+9 -12
View File
@@ -9,10 +9,9 @@
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### [Docs](README.md#docs) | [Discord](https://discord.gg/VjvR2tabEX) | [Changelog](CHANGELOG.md)
### [Wiki](https://github.com/vladmandic/automatic/wiki) | [Discord](https://discord.gg/VjvR2tabEX) | [Changelog](CHANGELOG.md)
</div>
@@ -22,11 +21,9 @@ This project started as a fork from [Automatic1111 WebUI](https://github.com/AUT
All Individual features are not listed here, instead check [Changelog](CHANGELOG.md) for full list of changes.
- Optimized backend with latest **torch** developments
Including built-in support for `torch.compile`
- Support for `diffusers` as well as standard `ldm` backend
Support for diffusers includes multiple models other than standard **Stable Diffusion**
such as **SD-XL**, **Kandinsky**, **DeepFloyd IF** (and many more in the near future)
- Optimized backend with latest **torch** developments. Including built-in support for `torch.compile`
- Support for `diffusers` as well as standard `ldm` backend.
Support for diffusers includes multiple models other than standard **Stable Diffusion** such as **SD-XL**, **Kandinsky**, **DeepFloyd IF** (and many more in the near future)
- Fully multiplatform with platform specific autodetection and tuning performed on install
- Improved prompt parser
- Enhanced Lora/Locon/Lyco code supporting latest trends in training
@@ -41,9 +38,9 @@ All Individual features are not listed here, instead check [Changelog](CHANGELOG
## Platform support
- *nVidia* GPUs using **CUDA** libraries on both *Windows and Linux*
- *AMD* GPUs using **ROCm** libraries on *Linux*
- *AMD* GPUs using **ROCm** libraries on *Linux*.
Support will be extended to *Windows* once AMD releases ROCm for Windows
- Any GPU compatibile with *DirectX* on *Windows* using **DirectML** libraries
- Any GPU compatibile with *DirectX* on *Windows* using **DirectML** libraries.
This includes support for AMD GPUs that are not supported by native ROCm libraries
- *Intel Arc* GPUs using *Intel OneAPI* **Ipex/XPU** libraries
- *Apple M1/M2* on *OSX* using built-in support in Torch with **MPS** optimizations
@@ -69,7 +66,7 @@ All Individual features are not listed here, instead check [Changelog](CHANGELOG
### Installation Notes
- Server can run without virtual environment,
but it is recommended to use it to avoid library version conflicts with other applications
but it is recommended to use it to avoid library version conflicts with other applications.
- **nVidia/CUDA** and **AMD/ROCm** are auto-detected is present and available,
but for any other use case specify required parameter explicitly or wrong packages may be installed
as installer will assume CPU-only environment.
@@ -101,7 +98,7 @@ Below is partial list of all available parameters, run `webui --help` for the fu
SD.Next comes with several extensions pre-installed:
- [Dyanmic Thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding)
- [Dynamic Thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding)
- [ControlNet](https://github.com/Mikubill/sd-webui-controlnet)
- [Agent Scheduler](https://github.com/ArtVentureX/sd-webui-agent-scheduler)
- [Multi-Diffusion Tiled Diffusion and VAE](https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111)
@@ -149,7 +146,7 @@ General goals:
- [Wiki](https://github.com/vladmandic/automatic/wiki)
- [ReadMe](README.md)
- [ToDo](TODO.md)
- [Changelog](CHANGELOG.md)
- [ChangeLog](CHANGELOG.md)
- [CLI Tools](cli/README.md)
<br>