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update readme
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@@ -23,7 +23,7 @@ Fork adds extra functionality:
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- [ControlNet](https://github.com/Mikubill/sd-webui-controlnet)
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- [Image Browser](https://github.com/AlUlkesh/stable-diffusion-webui-images-browser)
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- [LORA](https://github.com/kohya-ss/sd-scripts) (both training and inference)
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- [LoCon](https://github.com/KohakuBlueleaf/LoCon) (both training and inference)
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- [LyCORIS](https://github.com/KohakuBlueleaf/LyCORIS) (both training and inference)
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- [Model Converter](https://github.com/Akegarasu/sd-webui-model-converter)
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- [CLiP Interrogator](https://github.com/pharmapsychotic/clip-interrogator-ext)
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- [Dynamic Thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding)
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@@ -128,10 +128,9 @@ Fork does differ in few things:
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- Built-in `LoRA`, `LyCORIS`, `Custom Diffusion`, `Dreambooth` training
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Only Python library which is not auto-updated is `PyTorch` itself as that is very system specific
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For some Torch optimizations notes, see Wiki
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Fork is compatible with regular **PyTorch 1.13** as well as pre-release of **PyTorch 2.0**
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See [Wiki](https://github.com/vladmandic/automatic/wiki) for **Torch** optimization notes
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Fork is compatible with regular **PyTorch 1.13** as well as pre-releases of **PyTorch** **2.0** and **2.1**
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See [Wiki](https://github.com/vladmandic/automatic/wiki/Torch-Optimizations) for **Torch** optimization notes
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<br>
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