## Manual Install on Linux with NVIDIA GPU

#### Clone the repo

```
git clone git@github.com:comfyanonymous/ComfyUI.git
```

#### Install dependencies

Make sure you have cuda12+ installed.

Follow instruction on [NVIDIA's website](https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=Debian&target_version=11&target_type=deb_local)

```
wget https://developer.download.nvidia.com/compute/cuda/12.6.1/local_installers/cuda-repo-debian11-12-6-local_12.6.1-560.35.03-1_amd64.deb
```

```
sudo dpkg -i cuda-repo-debian11-12-6-local_12.6.1-560.35.03-1_amd64.deb
```

```
sudo cp /var/cuda-repo-debian11-12-6-local/cuda-*-keyring.gpg /usr/share/keyrings/
```

```
sudo add-apt-repository contrib
```

```
sudo apt-get update
```

```
sudo apt-get -y install cuda-toolkit-12-6
```

And install the driver

```
sudo apt-get install -y cuda-drivers
```


[Install Miniconda](https://docs.anaconda.com/free/miniconda/index.html#latest-miniconda-installer-links). This will help you install the correct versions of Python and other libraries needed by ComfyUI.

Create an environment with Conda.

```
conda create -n comfyenv
```

And activate it

```
conda activate comfyenv
```

Install python dependencies

```
conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
```


https://docs.comfy.org/get_started/introduction


https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors

https://github.com/Fannovel16/comfyui_controlnet_aux

https://github.com/ltdrdata/ComfyUI-Manager

https://comfyanonymous.github.io/ComfyUI_examples/controlnet/

https://github.com/WASasquatch/comfyui-plugins

https://github.com/JasonS09/comfy_controlnet_preprocessors

https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/tree/main

https://huggingface.co/Comfy-Org/flux1-schnell/tree/main

https://huggingface.co/gradjitta/flux.1-schnell-nf4/tree/main



https://huggingface.co/monster-labs/control_v1p_sd15_qrcode_monster/tree/main

https://www.youtube.com/watch?v=7PpYsaAoYF8