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Update README.md for Intel Arc GPUs setup using official Pytorch #3

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Expand Up @@ -190,25 +190,18 @@ This is the command to install the nightly with ROCm 6.3 which might have some p

### Intel GPUs (Windows and Linux)

(Option 1) Intel Arc GPU users can install native PyTorch with torch.xpu support using pip (currently available in PyTorch nightly builds). More information can be found [here](https://pytorch.org/docs/main/notes/get_start_xpu.html)
(Option 1) Intel Arc GPU users can install native PyTorch with torch.xpu support using pip. More information can be found [here](https://pytorch.org/docs/main/notes/get_start_xpu.html)

1. To install PyTorch nightly, use the following command:
1. To install PyTorch xpu, use the following command:

```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/xpu```
```pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/xpu```

2. Launch ComfyUI by running `python main.py`


(Option 2) Alternatively, Intel GPUs supported by Intel Extension for PyTorch (IPEX) can leverage IPEX for improved performance.

1. For Intel® Arc™ A-Series Graphics utilizing IPEX, create a conda environment and use the commands below:

```
conda install libuv
pip install torch==2.3.1.post0+cxx11.abi torchvision==0.18.1.post0+cxx11.abi torchaudio==2.3.1.post0+cxx11.abi intel-extension-for-pytorch==2.3.110.post0+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/ --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
```

For other supported Intel GPUs with IPEX, visit [Installation](https://intel.github.io/intel-extension-for-pytorch/index.html#installation?platform=gpu) for more information.
1. visit [Installation](https://intel.github.io/intel-extension-for-pytorch/index.html#installation?platform=gpu) for more information.

Additional discussion and help can be found [here](https://github.com/comfyanonymous/ComfyUI/discussions/476).

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