From e4050bc80952792a9e65f3c584fc3d180ab08293 Mon Sep 17 00:00:00 2001 From: RedsAnalysis Date: Mon, 17 Mar 2025 12:49:32 -0400 Subject: [PATCH] Made changes to README --- README.md | 40 ++++++++++++++++++++++------------------ 1 file changed, 22 insertions(+), 18 deletions(-) diff --git a/README.md b/README.md index c8fc6037..164cb943 100644 --- a/README.md +++ b/README.md @@ -235,24 +235,6 @@ Install the dependencies by opening your terminal inside the ComfyUI folder and: After this you should have everything installed and can proceed to running ComfyUI. -### DOCKER - NVIDIA - -This uses the base image nvidia/cuda:12.6.3-cudnn-runtime-ubuntu24.04 and stable torch version from https://download.pytorch.org/whl/cu126. - -After cloning the repo, run the following command once in bash terminal to build the docker image: - -```chmod +x docker-build.sh``` - -```./docker-build.sh``` - -After you docker image is built, you can launch ComfyUI by running the following command: - -```docker-compose up``` - -To stop the container, run: - -```docker-compose down``` - ### Others: #### Apple Mac silicon @@ -287,6 +269,28 @@ For models compatible with Cambricon Extension for PyTorch (torch_mlu). Here's a 2. Next, install the PyTorch(torch_mlu) following the instructions on the [Installation](https://www.cambricon.com/docs/sdk_1.15.0/cambricon_pytorch_1.17.0/user_guide_1.9/index.html) 3. Launch ComfyUI by running `python main.py` +### DOCKER + +This uses the base image nvidia/cuda:12.6.3-cudnn-runtime-ubuntu24.04 and stable torch version from https://download.pytorch.org/whl/cu126. + +After cloning the repo, run the following command once in bash terminal to build the docker image: + +```chmod +x docker-build.sh``` + +```./docker-build.sh``` + +It will prompt you to select you GPU and the pytorch version you want to install. PS use latest for RTX 5000 seriers cards. + +Use ``` 1 or 2 ```, to make your selection. + +After you docker image is built, you can launch ComfyUI by running the following command: + +```docker-compose up``` + +To stop the container, run: + +```docker-compose down``` + # Running ```python main.py```