Update README.md

This commit is contained in:
Qiacheng Li 2024-12-15 16:17:10 -08:00 committed by GitHub
parent 4109d3f831
commit cf60f9c907
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194

View File

@ -151,18 +151,18 @@ This is the command to install the nightly with ROCm 6.2 which might have some p
### 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