--skip-torch-cuda- error first install
Conda was installed already, and in path.Since it was previously installed it’s causing problems.When installing Anaconda, you have the option to “Add Anaconda to my PATH environment variable.” This is not recommended because the add to PATH option appends Anaconda to PATH. When the installer appends to PATH, it does not call the activation scripts.The error starts like this running webui.bat for first time:AssertionError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check^ following these instructions didn’t solve it.“Warning:This Python interpreter is in a conda environment, but the environment hasnot been activated.  Libraries may fail to load.  To activate this environmentplease seeManaging environments — conda 23.10.1.dev62 documentation”So in the Conda directory, Conda/Envs is empty.Instructions are to:To activate an environment: # # # # conda activate myenvReplace myenv with the environment name or directory path.cd C:\Users\user\anaconda3conda create --name newenvconda activate newenv(newenv) C:\Users\user\anaconda3>^ this worked.So I launch webui.bat again   ( keeping the “–skip-torch-cuda-test” argument in webui-user.bat)The same error…AssertionError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this checkI tryC:\Users\user\anaconda3>conda activate pythonCould not find conda environment: pythonYou can list all discoverable environments withconda info --envs.conda info --envs showsConda environments:
base                     C:\Users\user\anaconda3
newenv                *  C:\Users\user\anaconda3\envs\newenvI try changing environment variables (anaconda exists in user path)add some dirs to sys path and user pathe.g.    C:\Users\user\anaconda3\envs\newenvTo no avail.By the way, Torch is installed already in E:\ai\stable-diffusion-webui\venv\More of a complete traceback:Command: "E:\ai\stable-diffusion-webui\venv\Scripts\python.exe" -c "import torch; assert torch.cuda.is_available(), 'Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'"
Error code: 1
stdout: <empty>
stderr: E:\ai\stable-diffusion-webui\venv\lib\site-packages\torch\cuda\__init__.py:83: UserWarning: CUDA initialization: CUDA driver initialization failed, you might not have a CUDA gpu. (Triggered internally at  C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\c10\cuda\CUDAFunctions.cpp:109.)
  return torch._C._cuda_getDeviceCount() > 0Error persists. How could I “start again” and avoid these errors?Any ideas I will try as I am unskilled in this domain.Please help