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fix: more doco
Signed-off-by: vajonam <152501+vajonam@users.noreply.github.com>
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README.md
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README.md
@ -38,6 +38,35 @@ In unraid you can set these values during set up. For containers outside of unra
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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.
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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.
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```
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+---------------------------------------------------------------------------------------+
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| NVIDIA-SMI 535.161.07 Driver Version: 535.161.07 CUDA Version: 12.2 |
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|-----------------------------------------+----------------------+----------------------+
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| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
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| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
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| | | MIG M. |
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|=========================================+======================+======================|
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| 0 NVIDIA GeForce GTX 1050 Ti Off | 00000000:0F:00.0 On | N/A |
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| 36% 58C P0 N/A / 72W | 588MiB / 4096MiB | 2% Default |
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| | | N/A |
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+-----------------------------------------+----------------------+----------------------+
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+---------------------------------------------------------------------------------------+
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| Processes: |
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| GPU GI CI PID Type Process name GPU Memory |
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| ID ID Usage |
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|=======================================================================================|
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| 0 N/A N/A 4129827 G /slic3r/slic3r-dist/bin/prusa-slicer 262MiB |
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+---------------------------------------------------------------------------------------+
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*some information above was edited for privacy
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```
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### Other Environment Variables
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Below are the default values for various environment variables:
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