This is a super basic noVNC build using supervisor to serve Prusaslicer in your favorite web browser. This was primarily built for users using the [popular unraid NAS software](https://unraid.net), to allow them to quickly hop in a browser, slice, and upload their favorite 3D prints.
A lot of this was branched off of dmagyar's awesome [prusaslicer-vnc-docker](https://hub.docker.com/r/dmagyar/prusaslicer-vnc-docker/) project, but I found it to be a bit complex for my needs and thought this approach would simplify things a lot.
If you're using unraid, open your Docker page and under `Template repositories`, add `https://github.com/helfrichmichael/unraid-templates` and save it. You should then be able to Add Container for prusaslicer-novnc. For unraid, the template will default to 6080 for the noVNC web instance.
To run this image, you can run the following command: `docker run --detach --volume=prusaslicer-novnc-data:/configs/ --volume=prusaslicer-novnc-prints:/prints/ -p 8080:8080 -e SSL_CERT_FILE="/etc/ssl/certs/ca-certificates.crt"
This will bind `/configs/` in the container to a local volume on my machine named `prusaslicer-novnc-data`. Additionally it will bind `/prints/` in the container to `superslicer-novnc-prints` locally on my machine, it will bind port `8080` to `8080`, and finally, it will provide an environment variable to keep Prusaslicer happy by providing an `SSL_CERT_FILE`.
To use a VNC viewer with the container, the default port for TurobVNC is 5900. You can add this port by adding `-p 5900:5900` to your command to start the container to open this port for access. See note below about ports related to `VNC_PORT` environment variable.
Like other Docker containers, you can pass your Nvidia GPU into the container using the `NVIDIA_VISIBLE_DEVICES` and `NVIDIA_DRIVER_CAPABILITIES` envs. You can define these using the value of `all` or by providing more narrow and specific values. This has only been tested on Nvidia GPUs.
In unraid you can set these values during set up, **additionally, please add the "Extra Parameters" with `--runtime=nvidia` to ensure the GPU passes through**. For containers outside of unraid, you can set this by adding the following params or similar `-e NVIDIA_DRIVER_CAPABILITIES="all" NVIDIA_VISIBLE_DEVICES="all"`. If using Docker Compose, uncomment the enviroment variables in the relevant docker-compose.yaml file.
In addition to the information above, to enable **Hardware 3D acceleration** (which helps with visualizing complex models and sliced layers), you must set an environment variable. You can do this by either adding `-e ENABLEHWGPU=true` to the `docker run` command or including `- ENABLEHWGPU=true` in your Docker Compose configuration.
Once enabled and started you can verify the GPU is being used by running `nvidia-smi -l` on the HOST machine and you should see `/slic3r/slic3r-dist/bin/prusa-slicer` as process using the GPU.
-`SUPD_LOGLEVEL=INFO`: Specifies the log level for supervisord. Set to `TRACE` to see output for various commands helps if you are debugging something. See superviosrd manual for possible levels.
-`VNC_PORT=5900`: Defines the port for the VNC server, allowing direct connections using a VNC client. Note that the `DISPLAY` number is added to the port number (e.g., if your display is :1, the VNC port accepting connections will be `5901`).
<ahref="https://www.buymeacoffee.com/helfrichmichael"target="_blank"><imgsrc="https://cdn.buymeacoffee.com/buttons/default-orange.png"alt="Buy Me A Coffee"height="41"width="174"></a>
