Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
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Route ComfyUI Save As Script and workflow export tasks into the CLI and Web UI sub-skills.
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See how to installReview the instructions the agent will receive before you install.
Use this router for the repository that turns ComfyUI node graphs into runnable Python and adds the in-UI Save As Script extension command.
references/install-and-setup.md when the user asks how to install, expose, or run the extension.references/api-reference.md when you need exact public class, function, or module names.references/configuration.md when the question is about COMFYUI_PATH, default filenames, queue size, or generated-script runtime switches.references/troubleshooting.md for shared failure modes before you route into a sub-skill.references/repo-provenance.md if you need to check freshness or source state.references/repo-routing-metadata.json if you need the router placement metadata for import.cli-exportGo to sub-skills/cli-export/SKILL.md when the task is about any of these:
workflow_api.json or another API-format workflow into Pythonpython -m comfyui_to_python or the legacy comfyui_to_python.py wrapper--input_file, --output_file, or --queue_sizetorch, or model filesCOMFYUI_PATH, No module named 'torch', custom-node import, or generated-script runtime failuresweb-ui-extensionGo to sub-skills/web-ui-extension/SKILL.md when the task is about any of these:
__init__.py, the /saveasscript route, or the frontend menu commandextra_model_paths.yaml, symlinks, or ComfyUI/custom_nodes discoveryworkflow_api.py filenameblack is required by the exporter path.COMFYUI_PATH is the primary runtime locator when ComfyUI is not already discoverable from the current working directory.No reviews yet. Tell others what you thought.
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Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
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Guide 3DDFA Python inference, geometry rendering, training/evaluation, and optional C++ ONNX workflows for 3D dense face alignment.
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Routes 3DDFA_V2 face-alignment setup, still-image demos, video tracking, and ONNX benchmarking workflows.
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Operate AB3DMOT 3D multi-object tracking workflows for KITTI and nuScenes data, tracking, evaluation, and visualization.
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Use Hugging Face Accelerate for PyTorch training-loop migration, distributed launch/configuration, DeepSpeed/FSDP/TPU backend setup, big-model inference/offload, checkpointing, tracking, and troubleshooting.
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Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.
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