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RTX 5060 Ti (Blackwell) installation fails completely - multiple dependency and code errors #3

@flybers

Description

@flybers

RTX 5060 Ti (Blackwell) - Installer completely broken

My rig: AMD 7800X3D, 32GB DDR5 @6800MT/s, MSI Ventus x3 RTX 5060ti 16GB VRAM

Problem Summary

The one-click installer fails completely for an RTX 5060 Ti (Blackwell) GPU on Windows 11, requiring numerous manual fixes.

Steps Taken

  1. Ran Wan2GP_OneClick_Installer.bat as Administrator on a clean Windows 11 system.
  2. Script completed without critical errors but the final launch failed.

Specific Issues Encountered

  1. Incorrect PyTorch Version: The script detected my RTX 5060 Ti but installed PyTorch 2.6.0+cu124. This version does not support the Blackwell sm_120 architecture, causing an immediate error. The fix was to manually install torch==2.10.0+cu130.

  2. Missing Core Dependencies: After fixing PyTorch, the application crashed with multiple ModuleNotFoundError for packages that should have been installed. I had to manually install:

    • easydict
    • ftfy
    • loguru
    • librosa
    • av
    • ...and several others.
  3. smplfitter Build Failure: The installation of smplfitter (and its dependency chumpy) fails to build entirely:

ERROR: Failed to build 'chumpy' when getting requirements to build wheel

This completely blocks the installation process and required manually commenting out the import in multiperson_model.py as a workaround.

  1. Runtime Code Error (quant_router): After fixing the above, launching the app resulted in a NameError because quant_router was not defined in wgp.py. This required manually editing the source code to comment out the offending lines.

Environment

  • GPU: NVIDIA GeForce RTX 5060 Ti
  • OS: Windows 11 Pro (Build 10.0.26200)
  • Driver: 596.36

Conclusion

The one-click installer fails to work for the RTX 50-series (Blackwell) GPUs. It requires deep manual intervention to fix PyTorch versions, install missing dependencies, and patch code errors. The smplfitter/chumpy build error is a critical blocker for any standard user.

Suggested fix: Update the GPU detection logic to identify RTX 50-series cards (compute capability sm_120) and install PyTorch 2.10.0+cu130 instead of 2.6.0+cu124.

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