70 lines
2.2 KiB
Python
70 lines
2.2 KiB
Python
from __future__ import annotations
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from .comfyui_spectrum import FluxSpectrumPatcher, SpectrumConfig
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class SpectrumApplyFlux:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"model": ("MODEL",),
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"enabled": ("BOOLEAN", {"default": True}),
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"blend_weight": ("FLOAT", {"default": 0.50, "min": 0.0, "max": 1.0, "step": 0.01}),
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"degree": ("INT", {"default": 4, "min": 1, "max": 16, "step": 1}),
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"ridge_lambda": ("FLOAT", {"default": 0.10, "min": 0.0, "max": 10.0, "step": 0.01}),
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"window_size": ("FLOAT", {"default": 2.0, "min": 1.0, "max": 16.0, "step": 0.05}),
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"flex_window": ("FLOAT", {"default": 0.75, "min": 0.0, "max": 8.0, "step": 0.05}),
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"warmup_steps": ("INT", {"default": 5, "min": 0, "max": 32, "step": 1}),
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"tail_actual_steps": ("INT", {"default": 3, "min": 0, "max": 32, "step": 1}),
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"max_history": ("INT", {"default": 32, "min": 8, "max": 512, "step": 1}),
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"debug": ("BOOLEAN", {"default": False}),
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}
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}
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RETURN_TYPES = ("MODEL",)
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RETURN_NAMES = ("model",)
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FUNCTION = "apply"
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CATEGORY = "sampling/spectrum"
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def apply(
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self,
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model,
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enabled,
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blend_weight,
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degree,
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ridge_lambda,
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window_size,
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flex_window,
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warmup_steps,
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tail_actual_steps,
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max_history,
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debug,
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):
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if not enabled:
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return (model,)
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cfg = SpectrumConfig(
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enabled=bool(enabled),
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backend="flux",
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blend_weight=float(blend_weight),
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degree=int(degree),
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ridge_lambda=float(ridge_lambda),
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window_size=float(window_size),
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flex_window=float(flex_window),
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warmup_steps=int(warmup_steps),
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tail_actual_steps=int(tail_actual_steps),
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max_history=int(max_history),
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debug=bool(debug),
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).validate()
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return (FluxSpectrumPatcher.patch(model, cfg),)
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NODE_CLASS_MAPPINGS = {
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"SpectrumApplyFlux": SpectrumApplyFlux,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"SpectrumApplyFlux": "Spectrum Apply Flux",
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}
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