ComfyUI WebUI Dockerfile with Nvidia support, installing ComfyUI from GitHub.
Also installs ComfyUI Manager to simplify integration of additional custom nodes.

The "run directory" contains HF, ComfyUI and venv.
The "basedir" contains input, output and custom_nodes.

The ComfyUI "Manager" is installed to simplify integration of additional custom nodes and their updates.
The "Manager" is also used to update ComfyUI to more recent versions.

All those folders will be created with the WANTED_UID and WANTED_GID parameters (by default using Unraid's default of 99:100) allowing the end-user to place directly into the folders their checkpoints, unet, lora and other required models.

The container comes with no weights/models; you need to obtain those and install them in the proper directories under the mount you have selected for the "run directory".

Output files will be placed into the basedir/output folder within the "basedir" directory.

Please see https://github.com/mmartial/ComfyUI-Nvidia-Docker for further details.

• Recommending setting USE_UV to true to use uv instead of pip
• See details about "latest" tag
• See details about "First time use" (and the "bottle" workflow), noting that Unraid's default YOUR_BASE_DIRECTORY should be /mnt/user/appdata/comfyui-nvidia/basedir
• GTX 10xx users should use the ubuntu22_cuda12.6.3-latest tag and check the README.md for recommendations on how to run the container.
• RTX 50xx (Blackwell) users should use at minimum ubuntu24_cuda12.8-latest tag.

Note:

• The container requires the Nvidia Driver plugin to be installed on your Unraid server. Usually that plugin will get you access to a CUDA driver with support for the latest tag available for this container.
• This is a WebUI for the ComfyUI Stable Diffusion tool with a Docker image of usually over 4GB.
• The container will take a while to start up, as it needs to download the ComfyUI Stable Diffusion tool and install its dependencies, usually adding another 5GB of downloaded content in the venv folder
• The original Docker image is from Nvidia, as such it is governed by the NVIDIA Deep Learning Container License.
• There are multiple version of the base image available, please select the one that fits your needs best. The name of the tag is the Ubuntu version followed by the CUDA version. Latest is set to point to the most recent combination as it should include the most recent software updates. For the complete list of supported versions, please see the GitHub repository