diff --git a/README.md b/README.md index e4cff01a9..fa99a8cbe 100644 --- a/README.md +++ b/README.md @@ -39,7 +39,7 @@ ComfyUI lets you design and execute advanced stable diffusion pipelines using a ## Get Started #### [Desktop Application](https://www.comfy.org/download) -- The easiest way to get started. +- The easiest way to get started. - Available on Windows & macOS. #### [Windows Portable Package](#installing) @@ -211,27 +211,19 @@ This is the command to install the nightly with ROCm 6.4 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) - -1. To install PyTorch nightly, use the following command: +(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 xpu, use the following command: + +```pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/xpu``` + +This is the command to install the Pytorch xpu nightly which might have some performance improvements: ```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/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. - -Additional discussion and help can be found [here](https://github.com/comfyanonymous/ComfyUI/discussions/476). +1. visit [Installation](https://intel.github.io/intel-extension-for-pytorch/index.html#installation?platform=gpu) for more information. ### NVIDIA @@ -352,7 +344,7 @@ Generate a self-signed certificate (not appropriate for shared/production use) a Use `--tls-keyfile key.pem --tls-certfile cert.pem` to enable TLS/SSL, the app will now be accessible with `https://...` instead of `http://...`. -> Note: Windows users can use [alexisrolland/docker-openssl](https://github.com/alexisrolland/docker-openssl) or one of the [3rd party binary distributions](https://wiki.openssl.org/index.php/Binaries) to run the command example above. +> Note: Windows users can use [alexisrolland/docker-openssl](https://github.com/alexisrolland/docker-openssl) or one of the [3rd party binary distributions](https://wiki.openssl.org/index.php/Binaries) to run the command example above.

If you use a container, note that the volume mount `-v` can be a relative path so `... -v ".\:/openssl-certs" ...` would create the key & cert files in the current directory of your command prompt or powershell terminal. ## Support and dev channel