xinyun/ComfyUI
1
0
Fork 0
mirror of https://git.datalinker.icu/comfyanonymous/ComfyUI synced 2026-10-12 21:47:02 +08:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
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
1 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
README.md
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) ### 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``` ```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 conda install libuv