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'''
https://github.com/Zehong-Ma/MagCache
'''

from comfy.ldm.modules.diffusionmodules.openaimodel import forward_timestep_embed, timestep_embedding, th, apply_control
import comfy.patcher_extension
import json

def linear_interpolate(data: dict, num: float, scale: float) -> float:
    if not data:

laksjdjf

import numpy as np
import pandas as pd
import gradio as gr

HUNYUAN_VIDEO_DEFAULT = [
    "Hunyuan Video 544p",
    "1.0, 1.06971, 1.29073, 1.11245, 1.09596, 1.05233, 1.01415, 1.05672, 1.00848, 1.03632, 1.02974, 1.00984, 1.03028, 1.00681, 1.06614, 1.05022, 1.02592, 1.01776, 1.02985, 1.00726, 1.03727, 1.01502, 1.00992, 1.03371, 0.9976, 1.02742, 1.0093, 1.01869, 1.00815, 1.01461, 1.01152, 1.03082, 1.0061, 1.02162, 1.01999, 0.99063, 1.01186, 1.0217, 0.99947, 1.01711, 0.9904, 1.00258, 1.00878, 0.97039, 0.97686, 0.94315, 0.97728, 0.91154, 0.86139, 0.76592",
    50,
    0.24,
    -0.01,

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from typing_extensions import override
from comfy_api.latest import ComfyExtension, io
import comfy

class Noise_ReferenceAlign:
    def __init__(self, seed, reference_latents, strength):
        self.seed = seed
        self.reference_latents = reference_latents
        self.strength = strength

laksjdjf

from typing_extensions import override
from comfy_api.latest import ComfyExtension, io
import torch

class QwenImageScaleRope(io.ComfyNode):
    @classmethod
    def define_schema(cls):
        return io.Schema(
            node_id="QwenImageScaleRope",
            category="_for_testing",

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import node_helpers
import comfy.utils
import math
from typing_extensions import override
from comfy_api.latest import ComfyExtension, io
from comfy.patcher_extension import WrappersMP
import torch

class TextEncodeQwenImageEditPlusFixPixelShift(io.ComfyNode):
    @classmethod