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12 changes: 5 additions & 7 deletions docs/windows_11_trainer_install.md
Original file line number Diff line number Diff line change
Expand Up @@ -11,10 +11,8 @@ Note: This tutorial assume you have a suitable GPU and CUDA already setup.
6. pyenv global 3.10.11
7. pyenv version
8. python -c "import sys; print(sys.executable)"
9. cd $env:USERPROFILE
10. cd Desktop
11. pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 --index-url https://download.pytorch.org/whl/cu117
12. pip install root-painter-trainer
13. start-trainer
14. You will be prompted to input the RootPainter Sync directory. You can just type root_painter_sync and press enter.
15. The trainer should now be running and it should tell you your batch size (should be above 0) and if the GPU is available or not (It should say True).
9. pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 --index-url https://download.pytorch.org/whl/cu117
10. pip install root-painter-trainer
11. start-trainer
12. You will be prompted to input the RootPainter Sync directory. You can just type root_painter_sync and press enter.
13. The trainer should now be running and it should tell you your batch size (should be above 0) and if the GPU is available or not (It should say True).
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