![]() The list of Mods available for this image (if any) as well as universal mods that can be applied to any one of our images can be accessed via the dynamic badges above. We publish various Docker Mods to enable additional functionality within the containers. Uid=1000(dockeruser) gid=1000(dockergroup) groups=1000(dockergroup) Docker Mods You can set any environment variable from a file by using a special prepend FILE_. movies, /tv, etc.Įnvironment variables from files (Docker secrets) This can grow very large, 50gb+ is likely for a large collection. Keep in mind that the claim tokens expire within 4 minutes. Optionally you can obtain a claim token from and input here. Set whether to update plex or not - see Application Setup section. Specify a timezone to use, see this list. ![]() For example, -p 8080:80 would expose port 80 from inside the container to be accessible from the host's IP on port 8080 outside the container. These parameters are separated by a colon and indicate : respectively. docker-compose (recommended, click here for more info)Ĭontainer images are configured using parameters passed at runtime (such as those above). Here are some example snippets to help you get started creating a container. NVIDIA automatically mounts the GPU and drivers from your host into the plex docker. Once nvidia-docker is installed on your host you will need to re/create the docker container with the nvidia container runtime -runtime=nvidia and add an environment variable -e NVIDIA_VISIBLE_DEVICES=all (can also be set to a specific gpu's UUID, this can be discovered by running nvidia-smi -query-gpu=gpu_name,gpu_uuid -format=csv ). We automatically add the necessary environment variable that will utilise all the features available on a GPU on the host. Hardware acceleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here: We will automatically ensure the abc user inside of the container has the proper permissions to access this device. Hardware acceleration users for Intel Quicksync will need to mount their /dev/dri video device inside of the container by passing the following command when running or creating the container:
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