Joseph IbrahimandClaude Opus 4.5
7e15bf0e2c
CONDUIT - Non-linear inference optimizer for ComfyUI. Nodes: - ConduitCore: DAG workflow optimization - ConduitPool: 4-tier VRAM temperature system - ConduitGate: Dynamic FP32/FP16/FP8 routing - ConduitPath: Speculative multi-branch generation - ConduitSeal: Checksum-verified caching - ConduitSense: Auto workflow detection - ConduitApply: Apply optimization configs Features: - 2-3x speedup potential - RTX 40 series FP8 support - Predictive model preloading Licensed under Apache 2.0 with patent protection. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
29 lines
951 B
Python
29 lines
951 B
Python
# CONDUIT - ComfyUI Inference Optimizer
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# "Optimize the flow of your inference"
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#
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# A production-ready optimization system for ComfyUI
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# Implements non-linear, non-binary optimization strategies
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# Import configuration/planning nodes
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from .conduit_nodes import (
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NODE_CLASS_MAPPINGS as CONFIG_NODE_MAPPINGS,
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NODE_DISPLAY_NAME_MAPPINGS as CONFIG_DISPLAY_MAPPINGS
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)
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# Import functional/sampling nodes
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from .conduit_functional import (
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NODE_CLASS_MAPPINGS as FUNC_NODE_MAPPINGS,
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NODE_DISPLAY_NAME_MAPPINGS as FUNC_DISPLAY_MAPPINGS
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)
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# Merge all node mappings
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NODE_CLASS_MAPPINGS = {**CONFIG_NODE_MAPPINGS, **FUNC_NODE_MAPPINGS}
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NODE_DISPLAY_NAME_MAPPINGS = {**CONFIG_DISPLAY_MAPPINGS, **FUNC_DISPLAY_MAPPINGS}
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__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS']
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__version__ = "1.1.0"
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__author__ = "Conduit Labs"
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# Print loaded nodes
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print(f"[CONDUIT] v{__version__} loaded: {len(NODE_CLASS_MAPPINGS)} optimization nodes")
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