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(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)
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1. To install PyTorch nightly, use the following command:
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.
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Additional discussion and help can be found [here](https://github.com/comfyanonymous/ComfyUI/discussions/476).
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### NVIDIA
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Nvidia users should install stable pytorch using this command:
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### Others:
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#### Intel GPUs
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Intel GPU support is available for all Intel GPUs supported by Intel's Extension for Pytorch (IPEX) with the support requirements listed in the [Installation](https://intel.github.io/intel-extension-for-pytorch/index.html#installation?platform=gpu) page. Choose your platform and method of install and follow the instructions. The steps are as follows:
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1. Start by installing the drivers or kernel listed or newer in the Installation page of IPEX linked above for Windows and Linux if needed.
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1. Follow the instructions to install [Intel's oneAPI Basekit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html) for your platform.
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1. Install the packages for IPEX using the instructions provided in the Installation page for your platform.
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1. Follow the [ComfyUI manual installation](#manual-install-windows-linux) instructions for Windows and Linux and run ComfyUI normally as described above after everything is installed.
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Additional discussion and help can be found [here](https://github.com/comfyanonymous/ComfyUI/discussions/476).
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#### Apple Mac silicon
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You can install ComfyUI in Apple Mac silicon (M1 or M2) with any recent macOS version.
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### Which GPU should I buy for this?
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[See this page for some recommendations](https://github.com/comfyanonymous/ComfyUI/wiki/Which-GPU-should-I-buy-for-ComfyUI)
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