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Update windows_11_trainer_install.md
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docs/windows_11_trainer_install.md

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@@ -11,10 +11,8 @@ Note: This tutorial assume you have a suitable GPU and CUDA already setup.
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6. pyenv global 3.10.11
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7. pyenv version
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8. python -c "import sys; print(sys.executable)"
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9. cd $env:USERPROFILE
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10. cd Desktop
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11. pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 --index-url https://download.pytorch.org/whl/cu117
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12. pip install root-painter-trainer
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13. start-trainer
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14. You will be prompted to input the RootPainter Sync directory. You can just type root_painter_sync and press enter.
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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).
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9. pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 --index-url https://download.pytorch.org/whl/cu117
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10. pip install root-painter-trainer
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11. start-trainer
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12. You will be prompted to input the RootPainter Sync directory. You can just type root_painter_sync and press enter.
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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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