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@ -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```