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Merge branch 'feature/virtualgl-support' of https://github.com/vajonam/prusaslicer-novnc into pr/15

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Mike Helfrich 2024-04-04 13:46:58 -04:00
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@ -38,6 +38,32 @@ In unraid you can set these values during set up. For containers outside of unra
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.
```
+---------------------------------------------------------------------------------------+
| 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/slic3r-dist/bin/prusa-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
<img src="https://github.com/vajonam/prusaslicer-novnc/assets/152501/250c93f5-e550-42f9-8cce-b942c93ef61e" width="300" />
### Other Environment Variables
Below are the default values for various environment variables: