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Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
30 lines
937 B
Python
30 lines
937 B
Python
from .src.comfymath.convert import NODE_CLASS_MAPPINGS as convert_NCM
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from .src.comfymath.bool import NODE_CLASS_MAPPINGS as bool_NCM
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from .src.comfymath.int import NODE_CLASS_MAPPINGS as int_NCM
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from .src.comfymath.float import NODE_CLASS_MAPPINGS as float_NCM
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from .src.comfymath.number import NODE_CLASS_MAPPINGS as number_NCM
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from .src.comfymath.vec import NODE_CLASS_MAPPINGS as vec_NCM
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from .src.comfymath.control import NODE_CLASS_MAPPINGS as control_NCM
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from .src.comfymath.graphics import NODE_CLASS_MAPPINGS as graphics_NCM
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NODE_CLASS_MAPPINGS = {
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**convert_NCM,
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**bool_NCM,
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**int_NCM,
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**float_NCM,
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**number_NCM,
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**vec_NCM,
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**control_NCM,
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**graphics_NCM,
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}
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def remove_cm_prefix(node_mapping: str) -> str:
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if node_mapping.startswith("CM_"):
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return node_mapping[3:]
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return node_mapping
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NODE_DISPLAY_NAME_MAPPINGS = {key: remove_cm_prefix(key) for key in NODE_CLASS_MAPPINGS}
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