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qiacheng authored Dec 16, 2024
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### Intel GPUs (Windows and Linux)

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 (currently available in PyTorch nightly builds). More information can be found [here](https://pytorch.org/docs/main/notes/get_start_xpu.html)

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

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

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


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

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

```
conda install libuv
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