update readme

This commit is contained in:
Vladimir Mandic
2023-03-11 12:19:34 -05:00
parent 116dfaaaad
commit 11f472a9f7
+3 -4
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@@ -23,7 +23,7 @@ Fork adds extra functionality:
- [ControlNet](https://github.com/Mikubill/sd-webui-controlnet)
- [Image Browser](https://github.com/AlUlkesh/stable-diffusion-webui-images-browser)
- [LORA](https://github.com/kohya-ss/sd-scripts) (both training and inference)
- [LoCon](https://github.com/KohakuBlueleaf/LoCon) (both training and inference)
- [LyCORIS](https://github.com/KohakuBlueleaf/LyCORIS) (both training and inference)
- [Model Converter](https://github.com/Akegarasu/sd-webui-model-converter)
- [CLiP Interrogator](https://github.com/pharmapsychotic/clip-interrogator-ext)
- [Dynamic Thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding)
@@ -128,10 +128,9 @@ Fork does differ in few things:
- Built-in `LoRA`, `LyCORIS`, `Custom Diffusion`, `Dreambooth` training
Only Python library which is not auto-updated is `PyTorch` itself as that is very system specific
For some Torch optimizations notes, see Wiki
Fork is compatible with regular **PyTorch 1.13** as well as pre-release of **PyTorch 2.0**
See [Wiki](https://github.com/vladmandic/automatic/wiki) for **Torch** optimization notes
Fork is compatible with regular **PyTorch 1.13** as well as pre-releases of **PyTorch** **2.0** and **2.1**
See [Wiki](https://github.com/vladmandic/automatic/wiki/Torch-Optimizations) for **Torch** optimization notes
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