FunPackNVFP4ModelLoader quantizes an existing bf16/fp16 checkpoint to NVFP4 at load time as a pure state-dict transform: selected 2D Linears are re-serialized in ComfyUI core's quantized-checkpoint format (packed fp4 weights + fp8-e4m3 block scales + fp32 tensor scale + per-layer comfy_quant metadata) and handed to the stock loading path. Core's MixedPrecisionOps then does everything: real FP4 tensor-core GEMMs on sm_100+ (sm_120 incl.), dynamic activation scales (no calibration pass), per-layer LoRA fallback, and dequant emulation on older GPUs. No custom forward, no monkeypatching. Zone-aware precision map for the joint AV transformer: default scope quantizes only video-branch Linears (attn1/attn2/ff) of the middle blocks; the audio branch, the audio<->video cross-modal bridges, the first/last N blocks, and all non-matmul weights stay full precision. Scopes widen to +cross-modal, all blocks, and all 2D layers for experimentation. Tests drive the REAL comfy.quant_ops/comfy.ops via comfy_kitchen's eager backend on CPU: scope selection, serialized-format contract, prefix handling, refusal of pre-quantized checkpoints, and a load+forward roundtrip through MixedPrecisionOps on both the NVFP4 and emulation paths. The Movie Editor Models modal picks the node up automatically as a Unet/Diffusion Model candidate (object_info-driven). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
139 lines
5.6 KiB
Python
139 lines
5.6 KiB
Python
# ComfyUI-FunPack/__init__.py
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if __package__:
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from .conditioning import (
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FunPackAdvisorLLM,
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FunPackConditioningAdjust,
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FunPackLorebookEnhancer,
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FunPackPromptCombiner,
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FunPackPromptEnhancer,
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FunPackSaveRefinementLatent,
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FunPackStoryWriter,
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FunPackStudio,
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FunPackVideoRefinerV2,
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)
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from .image_processing import (
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FunPackClipVisionOutputCombine,
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FunPackContinueVideo,
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FunPackStoryMemKeyframeExtractor,
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FunPackStoryMemLastFrameExtractor,
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FunPackVideoStitch,
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)
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from .model_management import FunPackApplyLoraWeights, FunPackLoraLoader
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from .nvfp4_patch import FunPackNVFP4ModelLoader
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from .samplers import FunPackHybridEuler2SSampler, FunPackDistilledFlowSampler, FunPackLTXAVSceneChainSampler
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from .templates import FunPackRefinementKeyLoader
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try:
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from . import batch_training # noqa: F401 registers /funpack/batch/* routes
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except Exception as _e:
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print(f"[FunPack] batch_training routes unavailable: {_e}")
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try:
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from .movie_editor import server as _movie_editor_server # noqa: F401 registers /funpack/movie/* routes
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except Exception as _e:
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print(f"[FunPack] Movie Editor routes unavailable: {_e}")
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else:
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# Standalone tests may not have the full ComfyUI/CUDA runtime loaded.
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from conditioning import (
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FunPackAdvisorLLM,
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FunPackConditioningAdjust,
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FunPackLorebookEnhancer,
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FunPackPromptCombiner,
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FunPackPromptEnhancer,
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FunPackSaveRefinementLatent,
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FunPackStoryWriter,
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FunPackStudio,
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FunPackVideoRefinerV2,
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)
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try:
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from image_processing import (
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FunPackClipVisionOutputCombine,
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FunPackContinueVideo,
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FunPackStoryMemKeyframeExtractor,
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FunPackStoryMemLastFrameExtractor,
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FunPackVideoStitch,
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)
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except Exception:
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FunPackClipVisionOutputCombine = None
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FunPackContinueVideo = None
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FunPackStoryMemKeyframeExtractor = None
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FunPackStoryMemLastFrameExtractor = None
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FunPackVideoStitch = None
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try:
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from model_management import FunPackApplyLoraWeights, FunPackLoraLoader
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except Exception:
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FunPackApplyLoraWeights = None
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FunPackLoraLoader = None
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try:
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from nvfp4_patch import FunPackNVFP4ModelLoader
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except Exception:
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FunPackNVFP4ModelLoader = None
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try:
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from samplers import FunPackHybridEuler2SSampler, FunPackDistilledFlowSampler, FunPackLTXAVSceneChainSampler
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except Exception:
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FunPackHybridEuler2SSampler = None
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FunPackDistilledFlowSampler = None
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FunPackLTXAVSceneChainSampler = None
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try:
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from templates import FunPackRefinementKeyLoader
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except Exception:
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FunPackRefinementKeyLoader = None
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WEB_DIRECTORY = "./web"
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NODE_CLASS_MAPPINGS = {
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"FunPackAdvisorLLM": FunPackAdvisorLLM,
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"FunPackConditioningAdjust": FunPackConditioningAdjust,
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"FunPackStudio": FunPackStudio,
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"FunPackPromptCombiner": FunPackPromptCombiner,
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"FunPackStoryMemKeyframeExtractor": FunPackStoryMemKeyframeExtractor,
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"FunPackStoryMemLastFrameExtractor": FunPackStoryMemLastFrameExtractor,
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"FunPackPromptEnhancer": FunPackPromptEnhancer,
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"FunPackStoryWriter": FunPackStoryWriter,
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"FunPackVideoStitch": FunPackVideoStitch,
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"FunPackClipVisionOutputCombine": FunPackClipVisionOutputCombine,
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"FunPackContinueVideo": FunPackContinueVideo,
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"FunPackLorebookEnhancer": FunPackLorebookEnhancer,
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"FunPackVideoRefinerV2": FunPackVideoRefinerV2,
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"FunPackSaveRefinementLatent": FunPackSaveRefinementLatent,
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"FunPackHybridEuler2SSampler": FunPackHybridEuler2SSampler,
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"FunPackDistilledFlowSampler": FunPackDistilledFlowSampler,
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"FunPackLTXAVSceneChainSampler": FunPackLTXAVSceneChainSampler,
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"FunPackApplyLoraWeights": FunPackApplyLoraWeights,
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"FunPackLoraLoader": FunPackLoraLoader,
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"FunPackNVFP4ModelLoader": FunPackNVFP4ModelLoader,
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"FunPackRefinementKeyLoader": FunPackRefinementKeyLoader,
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}
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NODE_CLASS_MAPPINGS = {name: cls for name, cls in NODE_CLASS_MAPPINGS.items() if cls is not None}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"FunPackAdvisorLLM": "FunPack Advisor LLM",
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"FunPackConditioningAdjust": "FunPack Conditioning Adjust",
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"FunPackStudio": "FunPack Studio",
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"FunPackPromptCombiner": "FunPack Prompt Combiner",
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"FunPackStoryMemKeyframeExtractor": "FunPack StoryMem Keyframe Extractor",
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"FunPackStoryMemLastFrameExtractor": "FunPack StoryMem Last Frame Extractor",
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"FunPackPromptEnhancer": "FunPack Prompt Enhancer (Standalone)",
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"FunPackStoryWriter": "FunPack Story Writer",
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"FunPackVideoStitch": "FunPack Video Stitch",
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"FunPackClipVisionOutputCombine": "FunPack CLIP Vision Output Combine",
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"FunPackContinueVideo": "FunPack Continue Video",
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"FunPackLorebookEnhancer": "FunPack Lorebook Enhancer",
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"FunPackVideoRefinerV2": "FunPack Video Refiner V2",
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"FunPackSaveRefinementLatent": "FunPack Save Refinement Latent",
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"FunPackHybridEuler2SSampler": "FunPack Hybrid Euler 2S Sampler",
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"FunPackDistilledFlowSampler": "FunPack Distilled Flow Sampler",
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"FunPackLTXAVSceneChainSampler": "FunPack LTXAV Scene Chain Sampler",
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"FunPackApplyLoraWeights": "FunPack Apply LoRA Weights",
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"FunPackLoraLoader": "FunPack LoRA Loader",
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"FunPackNVFP4ModelLoader": "FunPack NVFP4 Model Loader (Experimental)",
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"FunPackRefinementKeyLoader": "FunPack Refinement Key Loader",
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}
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__all__ = [
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"NODE_CLASS_MAPPINGS",
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"NODE_DISPLAY_NAME_MAPPINGS",
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"WEB_DIRECTORY",
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]
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