Commands I have tried:python -m streamdiffusion.tools.install-tensorrt
Error generated by the above command:
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com, https://pypi.nvidia.comCollecting tensorrt-bindings Downloading tensorrt-bindings-9.2.0.post12.dev5.tar.gz (6.8 kB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error× python setup.py egg_info did not run successfully.│ exit code: 1╰─> [16 lines of output] Traceback (most recent call last): File "<string>", line 2, in <module> File "<pip-setuptools-caller>", line 34, in <module> File "C:\Users\Owner\AppData\Local\Temp\pip-install-b73tmy1x\tensorrt-bindings_53f09f435d4542748e4e8641602be581\setup.py", line 137, in <module> raise RuntimeError(open("ERROR.txt", "r").read()) RuntimeError: ########################################################################################### The package you are trying to install is only a placeholder project on PyPI.org repository. This package is hosted on NVIDIA Python Package Index. This package can be installed as: ``` $ pip install --no-cache-dir --extra-index-url https://pypi.nvidia.com tensorrt-bindings ``` ########################################################################################### [end of output] note: This error originates from a subprocess, and is likely not a problem with pip.error: metadata-generation-failed× Encountered error while generating package metadata.╰─> See above for output.note: This is an issue with the package mentioned above, not pip.hint: See above for details.I am doing this without the venv virtual environment.I tried to use TensorRT to generate images faster, but got this error.There is also a conventional code called pipe.enable_xformers_memory_efficient_attention().Using this, there are no major problems with the code.However, it will slow down the generation speed.
Can someone please tell me how to solve this error?
