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nodes.py
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import math
import random
import hashlib
import numpy as np
from comfy_extras.nodes_model_merging import ModelMergeBlocks
from comfy.model_detection import count_blocks
def bounce_ease_in_out(t):
if t < 0.5:
return 0.5 * (1 - math.cos(t * math.pi))
else:
return 0.5 * (1 + math.cos((t - 0.5) * math.pi))
def bounce_ease_in(t):
return 1 - bounce_ease_out(1 - t)
def bounce_ease_out(t):
if t < 4 / 11.0:
return (121 * t * t) / 16.0
elif t < 8 / 11.0:
return (363 / 40.0 * t * t) - (99 / 10.0 * t) + 17 / 5.0
elif t < 9 / 10.0:
return (4356 / 361.0 * t * t) - (35442 / 1805.0 * t) + 16061 / 1805.0
else:
return (54 / 5.0 * t * t) - (513 / 25.0 * t) + 268 / 25.0
def back_ease_in(t):
s = 1.70158
return t * t * ((s + 1) * t - s)
def back_ease_out(t):
s = 1.70158
t -= 1
return t * t * ((s + 1) * t + s) + 1
def complex_sine(t, dip_percentage=0.2):
sine_value = math.sin(t * math.pi * 2)
if 0.5 - dip_percentage < sine_value < 0.5 + dip_percentage:
return 1 - sine_value
return sine_value
def cubic_ease_in(t):
return t * t * t
def cubic_ease_out(t):
t -= 1
return t * t * t + 1
def random_scale_blocked(seed=None):
if seed:
random.seed(seed)
center_values = [ random.random(), random.random(), random.random() ]
presets = []
input_blocks = 12
middle_blocks = 3
out_blocks = 12
for i in range(25):
if i < input_blocks:
if i == 5:
center_value = center_values[0]
t = 0.5
else:
center_value = center_values[0]
t = i / 5
elif i < input_blocks + middle_blocks:
if i == 12:
center_value = center_values[1]
t = 0.5
else:
center_value = center_values[1]
t = (i - 6) / 5
else:
if i == 21:
center_value = center_values[2]
t = 0.5
else:
center_value = center_values[2]
t = (i - 15) / 5
value = center_value + (random.random() - 0.5) * (1 - abs(2 * t - 1))
presets.append(value)
return presets
def sawtooth_wave(t, segments=2, reverse=False):
segment_length = 1 / segments
segment_index = int(t / segment_length)
t_in_segment = (t - segment_index * segment_length) / segment_length
if segment_index % 2 == 0:
return t_in_segment * segments if not reverse else 1 - t_in_segment * segments
else:
return 1 - t_in_segment * segments if not reverse else t_in_segment * segments
def square_sine_wave(t):
return 1 if math.sin(t * math.pi * 2) >= 0 else 0
def exp_decay(x):
return 1.0 / (1.0 + np.exp(x))
def exp_growth(x):
return 1.0 - (1.0 / (1.0 + np.exp(x)))
def get_presets(exponent=1.0, seed=None):
if seed:
random.seed(seed)
presets = {
"ALL_A": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
"ALL_B": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
"BACK_EASE_IN": [back_ease_in(i / 24) for i in range(25)],
"BACK_EASE_OUT": [back_ease_out(i / 24) for i in range(25)],
"BOUNCE_EASE_IN": [bounce_ease_in(i / 24) for i in range(25)],
"BOUNCE_EASE_IN_OUT": [bounce_ease_in_out(i / 24) for i in range(25)],
"BOUNCE_EASE_OUT": [bounce_ease_out(i / 24) for i in range(25)],
"COSINE (MIRRORED)": [0, 0.00427756931309475, 0.0170370868554659, 0.0380602337443566, 0.0669872981077808, 0.103323329854383, 0.146446609406726, 0.19561928549564, 0.25, 0.308658283817455, 0.37059047744874, 0.434736903889974, 0.5, 0.565263096110026, 0.62940952255126, 0.691341716182545, 0.75, 0.804380714504361, 0.853553390593274, 0.896676670145618, 0.933012701892219, 0.961939766255643, 0.982962913144534, 0.995722430686905, 1],
"COSINE": [1, 0.995722430686905, 0.982962913144534, 0.961939766255643, 0.933012701892219, 0.896676670145617, 0.853553390593274, 0.80438071450436, 0.75, 0.691341716182545, 0.62940952255126, 0.565263096110026, 0.5, 0.434736903889974, 0.37059047744874, 0.308658283817455, 0.25, 0.195619285495639, 0.146446609406726, 0.103323329854382, 0.0669872981077805, 0.0380602337443566, 0.0170370868554658, 0.00427756931309475, 0],
"CUBIC_EASE_IN": [cubic_ease_in(i / 24) for i in range(25)],
"CUBIC_EASE_OUT": [cubic_ease_out(i / 24) for i in range(25)],
"CUBIC_HERMITE (APPROXIMATE - MIRRORED)": [1, 0.842423804012346, 0.71508487654321, 0.615234375, 0.540123456790123, 0.487003279320988, 0.453125, 0.435739776234568, 0.432098765432099, 0.439453125, 0.455054012345679, 0.476152584876543, 0.5, 0.523847415123457, 0.544945987654321, 0.560546875, 0.567901234567901, 0.564260223765432, 0.546875, 0.512996720679013, 0.459876543209876, 0.384765625, 0.28491512345679, 0.157576195987653, 0],
"CUBIC_HERMITE (APPROXIMATE)": [0, 0.157576195987654, 0.28491512345679, 0.384765625, 0.459876543209877, 0.512996720679012, 0.546875, 0.564260223765432, 0.567901234567901, 0.560546875, 0.544945987654321, 0.523847415123457, 0.5, 0.476152584876543, 0.455054012345679, 0.439453125, 0.432098765432099, 0.435739776234568, 0.453125, 0.487003279320987, 0.540123456790124, 0.615234375, 0.71508487654321, 0.842423804012347, 1],
"CUBIC_HERMITE (MIRRORED)": [1, 0.800968123070988, 0.674238040123457, 0.575358072916667, 0.501543209876543, 0.450008439429012, 0.41796875, 0.402639130015432, 0.401234567901235, 0.410970052083333, 0.429060570987654, 0.452721113040124, 0.479166666666667, 0.50561222029321, 0.529272762345679, 0.54736328125, 0.557098765432099, 0.555694203317901, 0.540364583333333, 0.508324893904322, 0.456790123456789, 0.382975260416667, 0.284095293209876, 0.157365210262345, 0],
"CUBIC_HERMITE": [0, 0.199031876929012, 0.325761959876543, 0.424641927083333, 0.498456790123457, 0.549991560570988, 0.58203125, 0.597360869984568, 0.598765432098765, 0.589029947916667, 0.570939429012346, 0.547278886959876, 0.520833333333333, 0.49438777970679, 0.470727237654321, 0.45263671875, 0.442901234567901, 0.444305796682099, 0.459635416666667, 0.491675106095678, 0.543209876543211, 0.617024739583333, 0.715904706790124, 0.842634789737655, 1],
"DROP_OFF_IN": [0.5 if i < 20 else 0.0 for i in range(25)],
"DROP_OFF_OUT": [0.0 if i < 5 else 0.5 for i in range(25)],
"EXP_DECAY": [math.exp(-i * 0.5) for i in range(25)],
"EXP_DECAY (CLAMPED)": [exp_decay(-i * 0.5) for i in range(25)],
"EXP_GROWTH": [exp_growth(i * 0.5) for i in range(25)],
"FLAT_25": [0.25] * 25,
"FLAT_75": [0.75] * 25,
"GRAD_A": [0, 0.0833333333, 0.1666666667, 0.25, 0.3333333333, 0.4166666667, 0.5, 0.5833333333, 0.6666666667, 0.75, 0.8333333333, 0.9166666667, 1.0, 0.9166666667, 0.8333333333, 0.75, 0.6666666667, 0.5833333333, 0.5, 0.4166666667, 0.3333333333, 0.25, 0.1666666667, 0.0833333333, 0],
"GRAD_V": [1, 0.9166666667, 0.8333333333, 0.75, 0.6666666667, 0.5833333333, 0.5, 0.4166666667, 0.3333333333, 0.25, 0.1666666667, 0.0833333333, 0, 0.0833333333, 0.1666666667, 0.25, 0.3333333333, 0.4166666667, 0.5, 0.5833333333, 0.6666666667, 0.75, 0.8333333333, 0.9166666667, 1.0],
"GRAD_A (SMOOTH)": [1 / (1 + math.exp(exponent * (i / (25/2) - 1))) for i in range(25)],
"GRAD_V (SMOOTH)": [1 / (1 + math.exp(-exponent * (i / (25/2) - 1))) for i in range(25)],
"LINEAR_IN": [i/24 for i in range(25)],
"LINEAR_OUT": [(24-i)/24 for i in range(25)],
"LOG_IN": [math.log(1 + i) / math.log(26) for i in range(25)],
"LOG_OUT": [1 - math.log(1 + i) / math.log(26) for i in range(25)],
"MID12_50": [0, 0, 0, 0, 0, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0, 0, 0, 0, 0, 0],
"OUT07": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1],
"OUT12": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
"OUT12_5": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
"RANDOM": [random.random() for _ in range(25)],
"RANDOM (SCALE BLOCKED)": random_scale_blocked(seed),
"RING08_5": [0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0],
"RING08_SOFT": [0, 0, 0, 0, 0, 0.5, 1, 1, 1, 0.5, 0, 0, 0, 0, 0, 0.5, 1, 1, 1, 0.5, 0, 0, 0, 0, 0],
"RING10_3": [0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0],
"RING10_5": [0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0],
"SINE_WAVE (ALT)": [math.sin(i * math.pi / 12) for i in range(25)],
"SINE_WAVE (COMPLEX)": [complex_sine(i / 24) for i in range(25)],
"SINE_WAVE": [square_sine_wave(i / 24) for i in range(25)],
"SMOOTHSTEP (MIRRORED)": [1, 0.994936342592593, 0.980324074074074, 0.95703125, 0.925925925925926, 0.887876157407407, 0.84375, 0.794415509259259, 0.740740740740741, 0.68359375, 0.623842592592593, 0.562355324074074, 0.5, 0.437644675925926, 0.376157407407408, 0.31640625, 0.259259259259259, 0.205584490740741, 0.15625, 0.112123842592592, 0.0740740740740742, 0.0429687499999996, 0.0196759259259258, 0.00506365740740744, 0],
"SMOOTHSTEP": [0, 0.00506365740740741, 0.0196759259259259, 0.04296875, 0.0740740740740741, 0.112123842592593, 0.15625, 0.205584490740741, 0.259259259259259, 0.31640625, 0.376157407407407, 0.437644675925926, 0.5, 0.562355324074074, 0.623842592592592, 0.68359375, 0.740740740740741, 0.794415509259259, 0.84375, 0.887876157407408, 0.925925925925926, 0.95703125, 0.980324074074074, 0.994936342592593, 1],
"SMOOTHSTEP*2 (MIRRORED)": [1, 0.989872685185185, 0.960648148148148, 0.9140625, 0.851851851851852, 0.775752314814815, 0.6875, 0.588831018518519, 0.481481481481481, 0.3671875, 0.247685185185185, 0.124710648148148, 0.0, 0.124710648148148, 0.247685185185185, 0.3671875, 0.481481481481481, 0.588831018518519, 0.6875, 0.775752314814816, 0.851851851851852, 0.9140625, 0.960648148148149, 0.989872685185185, 1],
"SMOOTHSTEP*2": [0, 0.0101273148148148, 0.0393518518518519, 0.0859375, 0.148148148148148, 0.224247685185185, 0.3125, 0.411168981481482, 0.518518518518519, 0.6328125, 0.752314814814815, 0.875289351851852, 1.0, 0.875289351851852, 0.752314814814815, 0.6328125, 0.518518518518519, 0.411168981481481, 0.3125, 0.224247685185184, 0.148148148148148, 0.0859375, 0.0393518518518512, 0.0101273148148153, 0],
"SMOOTHSTEP*3 (MIRRORED)": [1, 0.984809027777778, 0.940972222222222, 0.87109375, 0.777777777777778, 0.663628472222222, 0.53125, 0.383246527777778, 0.222222222222222, 0.05078125, 0.128472222222222, 0.312934027777778, 0.5, 0.687065972222222, 0.871527777777778, 0.94921875, 0.777777777777778, 0.616753472222222, 0.46875, 0.336371527777777, 0.222222222222222, 0.12890625, 0.0590277777777777, 0.0151909722222232, 0],
"SMOOTHSTEP*3": [0, 0.0151909722222222, 0.0590277777777778, 0.12890625, 0.222222222222222, 0.336371527777778, 0.46875, 0.616753472222222, 0.777777777777778, 0.94921875, 0.871527777777778, 0.687065972222222, 0.5, 0.312934027777778, 0.128472222222222, 0.0507812500000004, 0.222222222222222, 0.383246527777778, 0.53125, 0.663628472222223, 0.777777777777778, 0.87109375, 0.940972222222222, 0.984809027777777, 1],
"SMOOTHSTEP*4 (MIRRORED)": [1, 0.97974537037037, 0.921296296296296, 0.828125, 0.703703703703704, 0.55150462962963, 0.375, 0.177662037037037, 0.0370370370370372, 0.265625, 0.50462962962963, 0.750578703703704, 1.0, 0.750578703703704, 0.504629629629629, 0.265624999999999, 0.0370370370370372, 0.177662037037038, 0.375, 0.551504629629631, 0.703703703703703, 0.828125, 0.921296296296298, 0.979745370370369, 1],
"SMOOTHSTEP*4": [0, 0.0202546296296296, 0.0787037037037037, 0.171875, 0.296296296296296, 0.44849537037037, 0.625, 0.822337962962963, 0.962962962962963, 0.734375, 0.49537037037037, 0.249421296296296, 0.0, 0.249421296296296, 0.495370370370371, 0.734375000000001, 0.962962962962963, 0.822337962962962, 0.625, 0.448495370370369, 0.296296296296297, 0.171875, 0.0787037037037024, 0.0202546296296307, 0],
"SMOOTHSTEP/2 (MIRRORED)": [1, 0.980324074074074, 0.925925925925926, 0.84375, 0.740740740740741, 0.623842592592593, 0.5, 0.376157407407407, 0.259259259259259, 0.15625, 0.0740740740740742, 0.0196759259259256, 0.0, 0.0196759259259256, 0.0740740740740742, 0.15625, 0.259259259259259, 0.376157407407407, 0.5, 0.623842592592593, 0.740740740740741, 0.84375, 0.925925925925926, 0.980324074074074, 1],
"SMOOTHSTEP/2": [0, 0.0196759259259259, 0.0740740740740741, 0.15625, 0.259259259259259, 0.376157407407407, 0.5, 0.623842592592593, 0.740740740740741, 0.84375, 0.925925925925926, 0.980324074074074, 1.0, 0.980324074074074, 0.925925925925926, 0.84375, 0.740740740740741, 0.623842592592593, 0.5, 0.376157407407407, 0.259259259259259, 0.15625, 0.0740740740740741, 0.0196759259259259, 0],
"SMOOTHSTEP/3 (MIRRORED)": [1, 0.95703125, 0.84375, 0.68359375, 0.5, 0.31640625, 0.15625, 0.04296875, 0.0, 0.04296875, 0.15625, 0.31640625, 0.5, 0.68359375, 0.84375, 0.95703125, 1.0, 0.95703125, 0.84375, 0.68359375, 0.5, 0.31640625, 0.15625, 0.04296875, 0],
"SMOOTHSTEP/3": [0, 0.04296875, 0.15625, 0.31640625, 0.5, 0.68359375, 0.84375, 0.95703125, 1.0, 0.95703125, 0.84375, 0.68359375, 0.5, 0.31640625, 0.15625, 0.04296875, 0.0, 0.04296875, 0.15625, 0.31640625, 0.5, 0.68359375, 0.84375, 0.95703125, 1],
"SMOOTHSTEP/4 (MIRRORED)": [1, 0.925925925925926, 0.740740740740741, 0.5, 0.259259259259259, 0.0740740740740742, 0.0, 0.0740740740740742, 0.259259259259259, 0.5, 0.740740740740741, 0.925925925925926, 1.0, 0.925925925925926, 0.740740740740741, 0.5, 0.259259259259259, 0.0740740740740742, 0.0, 0.0740740740740742, 0.259259259259259, 0.5, 0.740740740740741, 0.925925925925926, 1],
"SMOOTHSTEP/4": [0, 0.0740740740740741, 0.259259259259259, 0.5, 0.740740740740741, 0.925925925925926, 1.0, 0.925925925925926, 0.740740740740741, 0.5, 0.259259259259259, 0.0740740740740741, 0.0, 0.0740740740740741, 0.259259259259259, 0.5, 0.740740740740741, 0.925925925925926, 1.0, 0.925925925925926, 0.740740740740741, 0.5, 0.259259259259259, 0.0740740740740741, 0],
"SPIKE": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0],
"WRAP08": [1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1],
"WRAP12": [1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1],
"WRAP14": [1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1],
"WRAP16": [1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1],
"ZIGZAG": [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0],
}
for segments in range(2, 5):
name = f"SAWTOOTH*{segments}"
name_mirror = f"SAWTOOTH*{segments} (MIRRORED)"
presets[name] = [sawtooth_wave(i / 24, segments) for i in range(25)]
presets[name_mirror] = [sawtooth_wave(i / 24, segments, True) for i in range(25)]
presets = dict(sorted(presets.items()))
return presets
class Preset_Model_Merge:
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"model1": ("MODEL",),
"model2": ("MODEL",),
"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
"time_embed.": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
"label_emb.": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
"preset": (list(get_presets().keys()),),
"preset_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}),
},
"hidden": {
"unique_id": "UNIQUE_ID",
}
}
@classmethod
def IS_CHANGED(cls, **kwargs):
try:
print("Checking change state...")
if kwargs['preset'] in ["RANDOM", "RANDOM (SCALE BLOCKD)"]:
print("IS_CHANGED == True")
return float("NaN")
else:
print("IS_CHANGED == False")
sha256_hash = hashlib.sha256()
sha256_hash.update(kwargs['preset'].encode('utf-8'))
return sha256_hash.digest().hex()
except Exception as e:
print(e)
RETURN_TYPES = ("MODEL",)
FUNCTION = "merge"
CATEGORY = "advanced/model_merging"
def merge(self, model1, model2, seed, preset, preset_strength, unique_id, **kwargs):
ratios = get_presets(1.0, seed)
ratios_values = [val * preset_strength for val in ratios[preset]]
block_types = ["input_blocks", "middle_block", "output_blocks"]
block_results = {block_type: [] for block_type in block_types}
num_blocks = [12, 1, 12]
for block_type, num in zip(block_types, num_blocks):
if num > 1:
for i in range(num):
ratio_key = "{}.{}.".format(block_type, i)
kwargs[ratio_key] = ratios_values.pop(0)
block_results[block_type].append(kwargs[ratio_key])
elif num == 1:
ratio_key = "{}.".format(block_type)
kwargs[ratio_key] = ratios_values.pop(0)
block_results[block_type].append(kwargs[ratio_key])
print(f"ModelPresetMerge {unique_id} Preset Mode: {preset}")
for block_name, block_results in block_results.items():
print(f"{block_name} Ratio{'s' if block_name != 'middle_block' else ''}: {', '.join(map(str, block_results))}")
bm = ModelMergeBlocks()
model = bm.merge(model1, model2, **kwargs)
return (model[0],)