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>
15 lines
426 B
TOML
15 lines
426 B
TOML
[project]
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name = "ComfyUI_RIFE_TensorRT_Auto"
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description = "Ultra fast frame interpolation using RIFE with TensorRT with Automatic downloading"
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version = "1.1.1"
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license = { file = "LICENSE" }
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[project.urls]
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Repository = "https://github.com/huchukato/ComfyUI-RIFE-TensorRT-Auto"
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# Used by Comfy Registry https://comfyregistry.org
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[tool.comfy]
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PublisherId = "huchukato"
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DisplayName = "ComfyUI_RIFE_TensorRT_Auto"
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Icon = ""
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