This container is targetted toward NVIDIA hardware (tested with NVIDIA) to run OrcaSlicer in a web browser with GPU-accelerated OpenGL. It is a fork of the prusaslicer-novnc project (https://github.com/helfrichmichael/prusaslicer-novnc), modified to replace PrusaSlicer with OrcaSlicer.
There is already a linuxserver.io repo, but I couldn't get hardware-accelerated GPU rendering working. I had already invested the time into this, and didn't feel like doing it again. It seems pretty niche at the moment. So I will maintain this as long as I use Orcaslicer and they maintain their AppImage distribution. I may end up discontinuing mainttaing this repo.
To run this image, you can run the following command:
docker run --detach \
--volume=orcaslicer-novnc-data:/configs/ \
--volume=orcaslicer-novnc-prints:/prints/ \
-p 8080:8080 \
-e SSL_CERT_FILE="/etc/ssl/certs/ca-certificates.crt" \
--name=orcaslicer-novnc \
ghcr.io/vajonam/orcaslicer-novnc:latest
This will bind /configs/ in the container to a local volume on my machine named orcaslicer-novnc-data. Additionally it will bind /prints/ in the container to orcaslicer-novnc-prints locally on your machine, it will bind port 8080 to 8080, and finally, it will provide an environment variable to keep orcaslicer happy by providing an SSL_CERT_FILE.
To use the pre-built image, simply clone this repository or copy docker-compose.yml and run docker compose up -d.
To build a new image, clone this repository and run docker compose up -f docker-compose.build.yml --build -d
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/squashfs-root/bin/orca-slicer as process using the GPU.
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.161.07 Driver Version: 535.161.07 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
.. removed for brevity ..
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| 0 N/A N/A 4129827 G /slic3r/squashfs-root/bin/orca-slicer 262MiB |
+---------------------------------------------------------------------------------------+
*some information above was edited for privacy
The GL Version on the System Information screen inside the slicer should also show, the GPU model and driver version
Below are the default values for various environment variables:
DISPLAY=:0: Sets the DISPLAY variable (usually left as 0).PUID=1000: default UID, allows the Process UID to be set.PGID=1000: default GID, allows the Process GID to be set.SUPD_LOGLEVEL=INFO: Specifies the log level for supervisord. Set toTRACEto see output for various commands helps if you are debugging something. See superviosrd manual for possible levels.ENABLEHWGPU=: Enables HW 3D acceleration. Default isfalseto maintain backward compatability.VGL_DISPLAY=egl: Advanced setting to target specific cards if you have multiple GPUs.NOVNC_PORT=8080: Sets the port for the noVNC HTML5/web interface.VNC_RESOLUTION=1280x800: Defines the resolution of the VNC server.VNC_PASSWORD=: Defaults to no VNC password, but you can add one here.VNC_PORT=5900: Defines the port for the VNC server, allowing direct connections using a VNC client. Note that theDISPLAYnumber is added to the port number (e.g., if your display is :1, the VNC port accepting connections will be5901).