Fresh Install: Stability Matrix + Stable Diffusion WebUI Forge Neo - PyTorch error ??

[csanii123]

I followed these steps:

1. Installed Stability Matrix v2.15.8 -> no issues
2. Ran Stability Matrix and installed Stable Diffusion WebUI Forge Neo -> no issues
3. Started Stable Diffusion and in the console it gave a PyTorch version error for my gfx card but the error doesn't make sense to me as it tells me I need to change the PyTorch version to v12.6 but says the existing version supports versions between 12 and 13 ???

Please note that Stable Diffusion does start in the browser but since PyTorch can't see my gfx card properly it doesn't really allow me to do anything.

Am I misunderstanding the error message or is there a bug in the error code given ?
Any help to fix the issue would be much appreciated.

EXTRACT FROM CONSOLE
Python 3.13.12 (main, Feb 3 2026, 22:53:26) [MSC v.1944 64 bit (AMD64)] Version: neo Launching Web UI with arguments: --skip-python-version-check --gradio-allowed-path 'J:\LLM_Directory\Images' J:\LLM_Directory\Packages\forge-neo\venv\Lib\site-packages\torch\cuda_init_.py:371: UserWarning: Found GPU0 NVIDIA GeForce GTX 1070 Ti which is of compute capability (CC) 6.1. The following list shows the CCs this version of PyTorch was built for and the hardware CCs it supports:
• 7.5 which supports hardware CC >=7.5,<8.0
• 8.0 which supports hardware CC >=8.0,<9.0 except {8.7}
• 8.6 which supports hardware CC >=8.6,<9.0 except {8.7}
• 9.0 which supports hardware CC >=9.0,<10.0
• 10.0 which supports hardware CC >=10.0,<11.0 except {10.1}
• 12.0 which supports hardware CC >=12.0,<13.0 Please follow the instructions at https://pytorch.org/get-started/locally/ to install a PyTorch release that supports one of these CUDA versions: 12.6 warn_unsupported_code(d, device_cc, code_ccs) J:\LLM_Directory\Packages\forge-neo\venv\Lib\site-packages\torch\cuda_init.py:489: UserWarning: NVIDIA GeForce GTX 1070 Ti with CUDA capability sm_61 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm_75 sm_80 sm_86 sm_90 sm_100 sm_120. If you want to use the NVIDIA GeForce GTX 1070 Ti GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

[csanii123]

Solution posted at: [https://github.com//issues/1648]