Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
日本語の概要は準備中です。原文の説明を表示しています。
Route ComfyUI Save As Script and workflow export tasks into the CLI and Web UI sub-skills.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
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.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
日本語の概要は準備中です。原文の説明を表示しています。
Guide 3DDFA Python inference, geometry rendering, training/evaluation, and optional C++ ONNX workflows for 3D dense face alignment.
日本語の概要は準備中です。原文の説明を表示しています。
Routes 3DDFA_V2 face-alignment setup, still-image demos, video tracking, and ONNX benchmarking workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Operate AB3DMOT 3D multi-object tracking workflows for KITTI and nuScenes data, tracking, evaluation, and visualization.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.
日本語の概要は準備中です。原文の説明を表示しています。