# Copyright (c) 2025-2026 DeepBeepMeep - part of WanGP, WanGP Community License 2.0 (see LICENSE.txt) # thanks Comfyui for the rgb factors (https://github.com/comfyanonymous/ComfyUI/blob/master/comfy/latent_formats.py) (if not explictly computed by DeepBeepMeep as indicated) def get_rgb_factors(model_family, model_type = None, sub_family = None): if model_family in ["wan", "qwen"]: if model_type =="ti2v_2_2": latent_channels = 48 latent_dimensions = 3 latent_rgb_factors = [ [ 0.0119, 0.0103, 0.0046], [-0.1062, -0.0504, 0.0165], [ 0.0140, 0.0409, 0.0491], [-0.0813, -0.0677, 0.0607], [ 0.0656, 0.0851, 0.0808], [ 0.0264, 0.0463, 0.0912], [ 0.0295, 0.0326, 0.0590], [-0.0244, -0.0270, 0.0025], [ 0.0443, -0.0102, 0.0288], [-0.0465, -0.0090, -0.0205], [ 0.0359, 0.0236, 0.0082], [-0.0776, 0.0854, 0.1048], [ 0.0564, 0.0264, 0.0561], [ 0.0006, 0.0594, 0.0418], [-0.0319, -0.0542, -0.0637], [-0.0268, 0.0024, 0.0260], [ 0.0539, 0.0265, 0.0358], [-0.0359, -0.0312, -0.0287], [-0.0285, -0.1032, -0.1237], [ 0.1041, 0.0537, 0.0622], [-0.0086, -0.0374, -0.0051], [ 0.0390, 0.0670, 0.2863], [ 0.0069, 0.0144, 0.0082], [ 0.0006, -0.0167, 0.0079], [ 0.0313, -0.0574, -0.0232], [-0.1454, -0.0902, -0.0481], [ 0.0714, 0.0827, 0.0447], [-0.0304, -0.0574, -0.0196], [ 0.0401, 0.0384, 0.0204], [-0.0758, -0.0297, -0.0014], [ 0.0568, 0.1307, 0.1372], [-0.0055, -0.0310, -0.0380], [ 0.0239, -0.0305, 0.0325], [-0.0663, -0.0673, -0.0140], [-0.0416, -0.0047, -0.0023], [ 0.0166, 0.0112, -0.0093], [-0.0211, 0.0011, 0.0331], [ 0.1833, 0.1466, 0.2250], [-0.0368, 0.0370, 0.0295], [-0.3441, -0.3543, -0.2008], [-0.0479, -0.0489, -0.0420], [-0.0660, -0.0153, 0.0800], [-0.0101, 0.0068, 0.0156], [-0.0690, -0.0452, -0.0927], [-0.0145, 0.0041, 0.0015], [ 0.0421, 0.0451, 0.0373], [ 0.0504, -0.0483, -0.0356], [-0.0837, 0.0168, 0.0055] ] else: latent_channels = 16 latent_dimensions = 3 latent_rgb_factors = [ [-0.1299, -0.1692, 0.2932], [ 0.0671, 0.0406, 0.0442], [ 0.3568, 0.2548, 0.1747], [ 0.0372, 0.2344, 0.1420], [ 0.0313, 0.0189, -0.0328], [ 0.0296, -0.0956, -0.0665], [-0.3477, -0.4059, -0.2925], [ 0.0166, 0.1902, 0.1975], [-0.0412, 0.0267, -0.1364], [-0.1293, 0.0740, 0.1636], [ 0.0680, 0.3019, 0.1128], [ 0.0032, 0.0581, 0.0639], [-0.1251, 0.0927, 0.1699], [ 0.0060, -0.0633, 0.0005], [ 0.3477, 0.2275, 0.2950], [ 0.1984, 0.0913, 0.1861] ] latent_rgb_factors_bias = [-0.1835, -0.0868, -0.3360] # latent_rgb_factors_bias = [0.0259, -0.0192, -0.0761] elif model_family =="flux": if sub_family =="flux2": # computed by your very own Deep Beep Meep latent_rgb_factors = [ [0.017027, 0.008257, 0.004624], [0.026682, 0.029259, 0.060114], [-0.009869, 0.020518, 0.060890], [0.226466, 0.296887, 0.368866], [0.015064, -0.014507, -0.028432], [0.001710, -0.004815, -0.022213], [-0.018906, 0.049969, -0.008771], [0.010261, 0.012761, 0.017796], [-0.349602, -0.272936, -0.182633], [-0.031123, -0.042880, -0.043945], [-0.008367, -0.001142, -0.001056], [0.036070, -0.005392, -0.069563], [-0.003169, 0.013091, 0.029921], [-0.008074, -0.009231, -0.010962], [0.008431, 0.015439, 0.015267], [-0.066895, -0.005198, 0.011012], [0.012917, 0.009686, 0.012514], [-0.001605, -0.000442, 0.002637], [0.012599, 0.011981, 0.014867], [0.068052, -0.003048, -0.001778], [-0.002239, 0.003910, 0.009552], [0.010798, 0.000513, -0.002564], [0.013768, 0.016439, 0.016339], [-0.004254, 0.003370, 0.012017], [-0.048989, -0.029049, -0.032899], [-0.009327, -0.010332, -0.004374], [0.007945, -0.008562, -0.006007], [-0.002106, -0.018114, -0.029735], [-0.039313, -0.046827, -0.048615], [-0.005774, 0.016549, 0.031351], [0.005425, 0.001212, -0.003960], [-0.009495, -0.028664, -0.039440], ] latent_rgb_factors_bias = [-0.039388, -0.063196, -0.118529] else: scale_factor = 0.3611 shift_factor = 0.1159 latent_rgb_factors =[ [-0.0346, 0.0244, 0.0681], [ 0.0034, 0.0210, 0.0687], [ 0.0275, -0.0668, -0.0433], [-0.0174, 0.0160, 0.0617], [ 0.0859, 0.0721, 0.0329], [ 0.0004, 0.0383, 0.0115], [ 0.0405, 0.0861, 0.0915], [-0.0236, -0.0185, -0.0259], [-0.0245, 0.0250, 0.1180], [ 0.1008, 0.0755, -0.0421], [-0.0515, 0.0201, 0.0011], [ 0.0428, -0.0012, -0.0036], [ 0.0817, 0.0765, 0.0749], [-0.1264, -0.0522, -0.1103], [-0.0280, -0.0881, -0.0499], [-0.1262, -0.0982, -0.0778] ] latent_rgb_factors_bias = [-0.0329, -0.0718, -0.0851] elif model_family == "ltx2": # computed by your very own Deep Beep Meep if model_type == "ltx2_22B": ltx2_22b_rgb_factors = [ [-0.002637, -0.022435, -0.014525], [-0.000040, 0.002258, -0.002773], [0.017013, 0.019457, 0.019020], [0.003543, -0.003552, -0.007818], [-0.009536, -0.003874, 0.004383], [0.004008, -0.006709, -0.004319], [-0.036751, -0.043466, -0.048329], [-0.096575, -0.064235, -0.062143], [0.011298, 0.014851, 0.011954], [-0.010023, -0.009218, -0.020513], [-0.008272, -0.008638, -0.006964], [-0.020323, -0.015916, -0.013125], [-0.000465, -0.000317, -0.008137], [-0.016116, -0.018386, -0.020579], [-0.006978, -0.000909, 0.007134], [0.016408, 0.007682, 0.002734], [-0.005839, -0.000587, 0.012418], [-0.004253, 0.000283, 0.000204], [0.011091, 0.012431, 0.020362], [-0.010974, -0.013548, -0.007926], [0.008863, -0.002148, -0.014016], [-0.001360, 0.001420, 0.000509], [-0.011228, -0.010231, 0.003795], [-0.003145, -0.012330, -0.000278], [-0.004863, 0.006857, 0.019429], [-0.001873, -0.009766, -0.000230], [-0.012370, -0.005718, -0.009533], [-0.012286, -0.001246, 0.006019], [0.004865, -0.002002, -0.004165], [-0.004346, -0.005383, -0.004504], [-0.002492, 0.004697, 0.002858], [-0.002394, 0.000685, 0.005236], [0.007604, 0.007468, 0.009615], [-0.000106, -0.003317, -0.000438], [0.024229, 0.025679, 0.025601], [0.008970, 0.005995, 0.006451], [0.000735, 0.001644, 0.001438], [-0.000723, -0.003181, -0.005735], [-0.007293, -0.006387, -0.004542], [0.006823, 0.004482, 0.005263], [-0.003291, 0.002319, 0.000601], [-0.019049, -0.022004, -0.015870], [-0.005866, -0.006257, -0.004923], [-0.008179, -0.005068, -0.012506], [0.016921, 0.010924, 0.008665], [0.016727, 0.006363, 0.019086], [0.007689, 0.009421, 0.006278], [0.000311, 0.004294, 0.002340], [-0.008876, -0.010579, -0.007904], [-0.004933, -0.004116, -0.003897], [-0.007960, -0.007913, -0.005858], [0.033702, 0.029980, 0.023054], [0.003681, 0.000736, 0.001179], [0.011194, 0.009676, 0.008584], [-0.006748, -0.008025, -0.012712], [0.003629, 0.008801, 0.024646], [-0.005553, -0.003534, 0.000868], [0.018373, 0.026107, 0.048515], [-0.018188, -0.016738, -0.011824], [-0.005569, -0.002895, -0.000267], [0.024878, 0.022724, 0.020622], [-0.003171, -0.003368, -0.007122], [0.016151, 0.019179, 0.016925], [-0.020461, -0.016825, 0.005923], [-0.010058, 0.008644, 0.006714], [-0.030223, -0.028451, -0.028098], [-0.012519, -0.010286, -0.010658], [-0.002638, -0.002010, 0.005868], [0.009401, 0.010221, 0.013040], [-0.004573, -0.005399, -0.002189], [0.005468, 0.008426, 0.007985], [0.004175, 0.001259, 0.002328], [-0.008226, 0.031092, 0.034302], [-0.002707, 0.000329, -0.000929], [-0.017879, -0.011023, -0.008185], [-0.154098, -0.149095, -0.114443], [-0.011193, -0.010340, -0.010992], [0.008415, 0.009909, 0.006711], [0.010234, 0.006162, -0.000474], [-0.003913, -0.004917, 0.004581], [0.009658, -0.004839, -0.002031], [0.000503, -0.001236, -0.002399], [0.045968, 0.025765, 0.022633], [-0.015219, -0.026419, -0.025316], [-0.008027, -0.001555, 0.004266], [0.002060, -0.000470, -0.000015], [0.017509, 0.020194, 0.006590], [0.030655, 0.015133, -0.001706], [0.005769, 0.002032, -0.001164], [-0.011608, -0.002177, -0.000190], [-0.006229, -0.005444, -0.003577], [0.000107, 0.005813, -0.001181], [-0.014333, -0.017095, 0.004329], [0.020339, 0.016295, 0.015720], [0.019904, 0.013839, 0.007771], [0.008964, 0.009021, 0.008781], [-0.004733, 0.014352, 0.008170], [-0.082997, -0.146227, -0.177141], [-0.004424, 0.004261, -0.002953], [0.002149, 0.005867, 0.009992], [0.009515, 0.016390, 0.019565], [0.002039, -0.008968, -0.009913], [-0.007031, -0.003982, 0.000093], [0.068442, 0.075373, 0.051207], [0.011794, 0.007765, -0.000760], [0.001684, -0.003199, 0.009644], [-0.003405, -0.004217, -0.006650], [-0.015646, -0.006160, -0.000201], [-0.060917, -0.058964, -0.050211], [-0.001947, -0.003689, 0.002990], [0.018446, 0.000534, -0.040772], [-0.001858, 0.008965, 0.015008], [-0.045379, -0.037718, -0.035154], [-0.000329, 0.007689, 0.000036], [-0.016536, -0.021012, -0.004650], [0.018388, 0.023352, 0.016103], [-0.086596, -0.074310, -0.078423], [0.009143, 0.008548, 0.004895], [0.002656, 0.002964, -0.000803], [-0.008501, -0.008217, -0.001661], [0.006445, -0.003139, -0.008694], [0.023101, 0.035471, 0.040335], [0.005615, 0.007732, 0.007626], [-0.017656, -0.014044, -0.009303], [-0.004839, -0.003358, -0.000664], [-0.007193, -0.005399, -0.008577], [-0.031276, -0.034591, -0.036400], [-0.008987, -0.015887, -0.013977] ] ltx2_22b_rgb_factors_bias = [-0.219173, -0.292845, -0.314850] return ltx2_22b_rgb_factors, ltx2_22b_rgb_factors_bias # LTX2_RGB_FACTORS_START latent_rgb_factors = [ [0.034942, 0.025665, 0.019890], [-0.010039, -0.003935, -0.004114], [0.012398, -0.009390, 0.002166], [0.021493, 0.004525, -0.001346], [0.007121, 0.021149, 0.006106], [0.009438, 0.013676, 0.003909], [-0.012689, -0.017296, -0.011732], [-0.010145, -0.008827, -0.040893], [-0.000609, 0.002179, 0.004511], [0.017091, 0.010640, 0.000340], [-0.009421, -0.006105, 0.000176], [-0.005993, -0.002687, 0.003946], [0.014557, 0.021932, 0.020061], [0.008345, 0.001006, -0.004580], [0.034493, 0.018170, 0.023638], [-0.001190, 0.003468, 0.012947], [-0.002343, -0.012411, -0.011100], [-0.011259, -0.000162, -0.005704], [0.035304, 0.037420, 0.045084], [-0.002184, -0.026547, -0.019204], [0.011548, 0.006255, 0.012846], [-0.000233, -0.002465, -0.004693], [-0.034094, -0.021138, -0.005063], [-0.000989, -0.000375, 0.002170], [0.007333, 0.015489, 0.024374], [0.006371, -0.018043, -0.031470], [-0.029347, -0.027023, -0.016491], [-0.001422, -0.006893, -0.001695], [0.005795, 0.005987, 0.007621], [-0.003406, 0.002260, 0.000005], [0.029885, 0.015924, 0.013307], [0.010122, 0.005565, 0.003611], [0.010770, 0.001935, 0.003951], [0.000247, 0.007556, -0.000721], [0.003422, 0.002761, 0.002203], [-0.000763, -0.001199, 0.002576], [0.013336, 0.018443, 0.022138], [-0.011958, -0.026991, -0.033736], [0.000398, -0.005840, -0.001664], [0.001106, 0.001808, -0.001595], [-0.003785, 0.003479, -0.001016], [0.015053, 0.015471, 0.013186], [0.008358, 0.007849, 0.018877], [0.005239, -0.003565, -0.034033], [-0.055078, -0.052277, -0.043015], [-0.004671, -0.017110, -0.012464], [-0.007845, -0.001926, -0.000054], [0.063222, 0.078728, 0.058501], [-0.021986, -0.016549, -0.020792], [0.000084, -0.003974, -0.002621], [-0.008120, -0.009763, -0.020849], [0.008795, 0.008390, 0.004435], [0.003783, -0.002978, -0.003743], [0.013151, -0.004677, -0.001796], [0.002784, 0.000578, 0.012341], [0.032561, 0.018570, 0.015776], [-0.018336, -0.014570, 0.001422], [-0.016377, -0.004534, -0.008379], [-0.018032, -0.018326, -0.016427], [0.011842, 0.012533, 0.018174], [-0.007721, -0.007604, -0.009647], [0.010696, 0.002887, 0.012046], [-0.022643, -0.029499, -0.022168], [-0.004399, -0.003200, -0.001333], [0.077523, 0.061106, 0.040685], [0.016623, 0.018785, 0.015607], [0.005365, 0.004560, -0.008725], [0.001207, -0.001362, 0.001578], [0.019177, 0.030301, 0.023738], [0.000936, 0.001365, 0.005611], [0.015523, 0.008943, 0.012178], [-0.026548, -0.002319, 0.008205], [0.015405, -0.008554, -0.012774], [-0.002702, 0.012692, 0.004927], [-0.001287, -0.004590, -0.003223], [0.008966, 0.009299, 0.005486], [-0.016937, -0.008969, -0.014726], [0.005981, 0.006354, -0.006855], [0.009750, 0.006882, 0.007736], [0.001820, 0.004259, 0.012132], [0.012835, 0.012450, 0.011795], [0.003041, 0.010194, 0.013934], [-0.016527, -0.032534, -0.030963], [-0.015136, -0.007481, -0.009911], [0.030708, 0.021832, 0.025773], [-0.008353, -0.012020, -0.008660], [0.018777, 0.017951, 0.006013], [-0.006846, -0.006453, -0.005759], [0.017944, 0.016239, 0.017806], [-0.009166, -0.004829, 0.002145], [0.011764, 0.010028, 0.008942], [0.015022, -0.016713, -0.031551], [-0.103677, -0.102297, -0.093770], [-0.006865, -0.003216, -0.002682], [-0.007705, 0.001121, -0.012102], [0.015788, -0.003327, 0.006230], [-0.005562, -0.009712, -0.008889], [0.006411, 0.011945, 0.014182], [-0.003523, -0.003832, -0.008597], [-0.002705, -0.007006, -0.002440], [0.010826, 0.021793, 0.019520], [0.021403, 0.017133, 0.011349], [-0.020997, -0.001073, -0.013768], [-0.004439, 0.005850, 0.001262], [0.008814, 0.004013, 0.004906], [0.008196, 0.005846, 0.007751], [0.000102, 0.001182, 0.005504], [-0.007416, -0.009051, -0.006597], [0.039224, 0.052929, 0.060699], [0.006937, 0.009651, 0.004330], [-0.013241, -0.008414, -0.010154], [-0.021549, 0.012296, 0.043766], [0.009432, -0.007242, 0.003204], [-0.038648, -0.035801, -0.032508], [0.009745, 0.013935, 0.012653], [-0.024403, -0.018949, -0.025871], [-0.002547, -0.010403, -0.004686], [-0.000516, 0.000137, 0.000241], [-0.001571, -0.000162, -0.010227], [-0.023109, -0.024477, -0.019911], [-0.003461, -0.001731, -0.004959], [0.001869, 0.002194, 0.001378], [-0.011800, -0.001712, -0.004228], [-0.019423, -0.002752, 0.007851], [-0.000403, -0.011006, -0.011421], [0.000448, -0.002081, -0.002759], [-0.004389, -0.005971, -0.034043], [-0.013471, -0.013140, -0.013874], ] latent_rgb_factors_bias = [-0.048359, -0.119311, -0.188382] # LTX2_RGB_FACTORS_END elif model_family == "ltxv": # computed by your very own Deep Beep Meep latent_channels = 128 latent_dimensions = 3 latent_rgb_factors = [ [0.035582, 0.025241, 0.019059], [-0.011088, -0.004560, -0.005371], [0.007245, -0.014716, -0.001559], [0.020083, 0.002775, -0.002997], [0.008828, 0.023831, 0.011037], [0.008272, 0.012256, 0.003322], [-0.015408, -0.019657, -0.013805], [-0.012167, -0.010744, -0.040915], [-0.000306, 0.002370, 0.005182], [0.014412, 0.007726, -0.001534], [-0.008717, -0.006287, 0.000956], [-0.006908, -0.004871, 0.001747], [0.013476, 0.019110, 0.016148], [0.006494, -0.002371, -0.006191], [0.034034, 0.018516, 0.023265], [-0.001736, 0.003750, 0.013429], [-0.001662, -0.011720, -0.010040], [-0.013817, -0.002600, -0.006292], [0.034908, 0.034661, 0.041437], [-0.003544, -0.027082, -0.021179], [0.014436, 0.008519, 0.014859], [0.000617, -0.001874, -0.004648], [-0.034923, -0.020644, -0.003953], [-0.003528, -0.001817, 0.000409], [0.007435, 0.016008, 0.024745], [0.008246, -0.015555, -0.030704], [-0.029761, -0.025874, -0.016636], [-0.001359, -0.006993, -0.002812], [0.006954, 0.006185, 0.006284], [-0.004145, 0.002543, 0.000443], [0.026397, 0.011885, 0.011944], [0.011959, 0.006476, 0.004567], [0.011958, 0.003278, 0.005483], [0.000880, 0.006825, -0.000239], [0.003066, 0.002158, 0.001152], [-0.000697, -0.000912, 0.003622], [0.015179, 0.019700, 0.021853], [-0.015571, -0.030838, -0.036792], [0.000705, -0.005045, -0.000780], [0.000676, 0.001296, -0.003527], [-0.005033, 0.002671, -0.001989], [0.014950, 0.013809, 0.011505], [0.004975, 0.004733, 0.017948], [-0.000495, -0.009110, -0.037703], [-0.054368, -0.052336, -0.044666], [-0.003123, -0.015530, -0.011048], [-0.006658, -0.000507, 0.001055], [0.066555, 0.083396, 0.061881], [-0.023717, -0.018802, -0.022264], [-0.001998, -0.006345, -0.004872], [-0.005142, -0.007320, -0.019123], [0.008872, 0.007865, 0.004287], [0.002672, -0.002818, -0.002681], [0.011259, -0.006732, -0.001830], [0.003965, 0.002713, 0.013869], [0.035881, 0.021339, 0.019710], [-0.020165, -0.015751, 0.000726], [-0.016233, -0.004130, -0.008461], [-0.019038, -0.019087, -0.016846], [0.010145, 0.011604, 0.018285], [-0.009972, -0.009455, -0.010444], [0.007420, 0.001248, 0.010543], [-0.017763, -0.024588, -0.018310], [-0.005316, -0.003467, -0.001688], [0.075308, 0.060410, 0.042607], [0.016281, 0.018724, 0.015634], [0.003319, 0.002911, -0.012188], [0.002586, -0.000781, 0.002897], [0.019921, 0.031291, 0.023804], [0.000507, 0.000265, 0.006217], [0.015093, 0.009080, 0.012170], [-0.027553, -0.002317, 0.008801], [0.019748, -0.006231, -0.010628], [-0.000992, 0.014483, 0.006747], [-0.005176, -0.006966, -0.006231], [0.009369, 0.009001, 0.006080], [-0.019502, -0.010986, -0.016263], [0.009622, 0.011231, -0.003507], [0.011710, 0.007743, 0.007796], [0.001709, 0.003981, 0.012354], [0.013475, 0.012501, 0.013031], [0.000135, 0.005721, 0.011183], [-0.017884, -0.031334, -0.028284], [-0.015754, -0.007742, -0.011511], [0.030132, 0.022401, 0.024860], [-0.007276, -0.012084, -0.009154], [0.019716, 0.018651, 0.006074], [-0.006242, -0.005683, -0.005029], [0.019383, 0.016312, 0.017580], [-0.010341, -0.004952, 0.002420], [0.011134, 0.009569, 0.008515], [0.019734, -0.012654, -0.028811], [-0.099568, -0.099130, -0.092332], [-0.008051, -0.004986, -0.003922], [-0.014421, -0.004248, -0.015386], [0.015564, -0.004664, 0.006721], [-0.006878, -0.010097, -0.009609], [0.006329, 0.012266, 0.013791], [-0.004897, -0.006628, -0.011967], [-0.006143, -0.009694, -0.002289], [0.012134, 0.022289, 0.017772], [0.022571, 0.017612, 0.010859], [-0.021120, -0.001161, -0.012361], [-0.005513, 0.005725, 0.002040], [0.009246, 0.004407, 0.005687], [0.008619, 0.006166, 0.007369], [-0.001817, 0.000493, 0.005933], [-0.009593, -0.011080, -0.008062], [0.045089, 0.058717, 0.064705], [0.007387, 0.010615, 0.004683], [-0.014032, -0.009903, -0.011561], [-0.017529, 0.012640, 0.041473], [0.007375, -0.007793, 0.001781], [-0.042459, -0.038817, -0.034248], [0.009118, 0.012473, 0.011103], [-0.024234, -0.019062, -0.029192], [-0.003629, -0.011813, -0.005117], [-0.001368, -0.000385, 0.000487], [-0.001570, -0.000605, -0.012106], [-0.023129, -0.023683, -0.020173], [-0.002227, -0.000535, -0.003988], [0.001467, 0.001789, 0.001113], [-0.010948, -0.000490, -0.003436], [-0.018422, -0.001083, 0.008414], [-0.001576, -0.009604, -0.008839], [-0.000041, -0.001356, -0.001524], [-0.004037, -0.006747, -0.034852], [-0.014760, -0.015261, -0.015292] ] latent_rgb_factors_bias = [-0.063785, -0.133025, -0.195400] elif model_family == "minimax_h3": # computed by your very own Deep Beep Meep from 1,000 images latent_rgb_factors = [ [-0.152104, -0.232543, -0.224404], [0.139305, 0.183498, 0.102793], [0.200355, 0.102748, -0.014897], [0.205527, 0.060373, -0.223634], [0.074193, 0.143338, -0.056514], [0.118000, 0.103517, -0.028515], [0.087893, 0.075594, 0.083708], [0.082730, 0.091851, 0.066146], [0.046948, 0.062517, 0.070342], [0.372102, 0.297104, 0.314785], [-0.119610, -0.122069, -0.075437], [-0.091787, -0.068970, -0.008514], [0.032219, 0.024462, 0.053078], [-0.000277, 0.025318, 0.015307], [0.029826, 0.048534, 0.071107], [-0.028803, -0.041618, -0.063091], [0.008493, 0.006525, -0.003508], [-0.045912, -0.048118, -0.039270], [-0.039653, -0.045122, -0.054826], [0.090955, 0.084697, 0.097391], [0.007149, 0.005895, 0.005149], [-0.013688, -0.014178, -0.019584], [0.001140, 0.019586, 0.020279], [-0.018252, -0.017087, -0.007325], ] latent_rgb_factors_bias = [0.167441, 0.103166, 0.056984] elif model_family == "hy_nomas": # DCAE-V f32t4c32 latents (32 channels, 32x32 pixels each), fitted by least squares on Hy-Nomas worlds decoded by their PixelUMM # decoder: each latent pixel against the mean colour of its block over its frames (held-out worlds: 24-26 dB, R2 0.89-0.93) latent_rgb_factors = [ [-0.001305, -0.003934, -0.003416], [0.030049, 0.033974, -0.021279], [0.009490, 0.008824, 0.004844], [-0.089237, -0.075216, -0.058071], [-0.007706, -0.007909, -0.007644], [0.017030, -0.005389, -0.012167], [-0.047035, 0.004371, 0.030514], [0.008234, 0.002001, 0.000005], [0.003452, 0.001047, 0.011431], [0.002461, 0.006801, 0.005709], [0.004870, 0.001384, -0.009544], [-0.003279, 0.000851, -0.011035], [-0.002352, -0.009428, -0.017630], [-0.003416, -0.006034, -0.013516], [-0.005867, 0.006938, 0.018326], [-0.000396, -0.005040, -0.001870], [-0.024936, 0.000775, 0.007254], [-0.004131, 0.003116, 0.008529], [-0.011987, -0.006813, -0.003632], [-0.004857, -0.005347, -0.007637], [-0.005021, -0.009352, -0.005734], [0.009045, -0.006280, -0.036261], [0.001953, 0.023468, 0.037670], [-0.000589, 0.000826, 0.006767], [0.006130, 0.000334, 0.013487], [-0.010123, -0.019218, -0.002843], [-0.009326, -0.005935, -0.002657], [0.102360, 0.110647, 0.142978], [0.000403, -0.011504, 0.011122], [-0.008269, -0.003906, -0.008176], [-0.005628, 0.000857, 0.006439], [0.007549, -0.000051, -0.016011], ] latent_rgb_factors_bias = [-0.098010, -0.156972, -0.186147] elif model_family == "hunyuan": if sub_family == "hunyuan1.5": # computed by your very own Deep Beep Meep latent_rgb_factors = [ [0.031652, -0.021645, -0.006670], [-0.015073, -0.012539, -0.013397], [0.004683, 0.014850, 0.000513], [-0.012478, -0.008691, 0.017885], [0.046208, 0.069739, 0.062120], [0.006511, 0.006715, -0.049985], [0.025992, 0.025690, 0.015917], [0.013518, 0.002994, 0.019133], [0.035577, -0.028987, -0.005096], [-0.006799, -0.000338, 0.004619], [-0.003666, -0.004885, -0.008002], [-0.032795, -0.022699, -0.001088], [0.039256, 0.051807, 0.054762], [0.011453, 0.010160, -0.039282], [0.020320, 0.015219, 0.013882], [-0.014381, -0.029567, -0.014211], [0.036559, -0.021804, -0.009747], [-0.010908, -0.018426, -0.017130], [0.011040, 0.028708, 0.020362], [-0.007885, -0.009209, 0.015580], [0.042282, 0.056767, 0.048389], [0.018727, 0.026872, -0.022482], [0.016667, 0.023371, 0.022561], [-0.016530, -0.026502, -0.005821], [0.056069, -0.012952, 0.000057], [-0.001732, 0.000677, -0.002098], [0.015616, 0.027786, 0.024835], [-0.002916, 0.003586, 0.016754], [0.046222, 0.049560, 0.044939], [0.004627, 0.002370, -0.040525], [-0.001537, 0.004215, 0.007437], [0.001337, 0.001811, 0.022117], ] latent_rgb_factors_bias = [0.106222, 0.041891, -0.005932] else: latent_channels = 16 latent_dimensions = 3 scale_factor = 0.476986 latent_rgb_factors = [ [-0.0395, -0.0331, 0.0445], [ 0.0696, 0.0795, 0.0518], [ 0.0135, -0.0945, -0.0282], [ 0.0108, -0.0250, -0.0765], [-0.0209, 0.0032, 0.0224], [-0.0804, -0.0254, -0.0639], [-0.0991, 0.0271, -0.0669], [-0.0646, -0.0422, -0.0400], [-0.0696, -0.0595, -0.0894], [-0.0799, -0.0208, -0.0375], [ 0.1166, 0.1627, 0.0962], [ 0.1165, 0.0432, 0.0407], [-0.2315, -0.1920, -0.1355], [-0.0270, 0.0401, -0.0821], [-0.0616, -0.0997, -0.0727], [ 0.0249, -0.0469, -0.1703] ] latent_rgb_factors_bias = [ 0.0259, -0.0192, -0.0761] else: latent_rgb_factors_bias = latent_rgb_factors = None return latent_rgb_factors, latent_rgb_factors_bias