huchukatoandDevin
1427bdef9f
- Auto-install now only installs the matching TensorRT wheels instead of the multi-GB cuda-toolkit package from PyPI. - Use a single pip install -r call per requirements file for faster dependency resolution and better cache reuse. - Add install-success/failure markers to avoid repeating the install on every ComfyUI startup. - Fix pyproject.toml Repository and PublisherId to point to huchukato/ComfyUI-RIFE-TensorRT-Auto. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
14 lines
581 B
Plaintext
14 lines
581 B
Plaintext
# CUDA 13 specific TensorRT packages (RTX 50 series, CUDA 13.x)
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#
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# NOTE: cuda-toolkit is NOT installed via pip. Install the NVIDIA CUDA Toolkit separately if needed.
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# The node will auto-detect CUDA 13 and install these packages automatically.
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#
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# Use this file ONLY if auto-installation fails or for manual setup.
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# Installation order for MANUAL setup only:
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# 1. pip install -r requirements.txt (base dependencies)
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# 2. pip install -r requirements_cu13.txt (CUDA 13 specific TensorRT)
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#
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tensorrt_cu13==10.15.1.29
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tensorrt_cu13_bindings==10.15.1.29
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tensorrt_cu13_libs==10.15.1.29
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