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https://github.com/vladmandic/automatic
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@@ -87,8 +87,7 @@ Start with listen on public IP with authentication enabled
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1. Install `Python`, `Git`
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2. Install `PyTorch` and `Xformers`
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See [Wiki](wiki/Torch%20Optimizations.md) for details
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If you don't want to use `xformers`, edit `automatic.sh` as they are enabled by default
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See [Wiki](wiki/Torch%20Optimizations.md) for details or TL;DR below
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3. Clone and initialize repository
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> git clone https://github.com/vladmandic/automatic
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@@ -143,9 +142,16 @@ Optimizations:
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- Fallback to `XFormers` if SDP is not supported
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- If either `SDP` or `XFormers` are not supported, falls back to usual cmd line arguments
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## Torch
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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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Fork is compatible with regular **PyTorch 1.13**, **PyTorch 2.0** as well as pre-releases of **PyTorch** **2.1**
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TL;DR: Install **PyTorch 2.0.0** compiled with **CUDA 11.8**:
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> pip install torch torchaudio torchvision triton --force --extra-index-url https://download.pytorch.org/whl/cu118
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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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Submodule wiki updated: bcc06480a9...febb4552bc
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