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https://git.datalinker.icu/comfyanonymous/ComfyUI
synced 2026-09-13 14:07:09 +08:00
Merge branch 'master' into patch_hooks
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commit
4fdfe2f704
@ -109,8 +109,7 @@ def load_clipvision_from_sd(sd, prefix="", convert_keys=False):
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keys = list(sd.keys())
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for k in keys:
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if k not in u:
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t = sd.pop(k)
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del t
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sd.pop(k)
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return clip
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def load(ckpt_path):
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@ -1,5 +1,4 @@
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import torch
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import math
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def calc_mantissa(abs_x, exponent, normal_mask, MANTISSA_BITS, EXPONENT_BIAS, generator=None):
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mantissa_scaled = torch.where(
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@ -31,11 +31,13 @@ class SDXL(LatentFormat):
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def __init__(self):
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self.latent_rgb_factors = [
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# R G B
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[ 0.3920, 0.4054, 0.4549],
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[-0.2634, -0.0196, 0.0653],
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[ 0.0568, 0.1687, -0.0755],
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[-0.3112, -0.2359, -0.2076]
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[ 0.3651, 0.4232, 0.4341],
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[-0.2533, -0.0042, 0.1068],
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[ 0.1076, 0.1111, -0.0362],
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[-0.3165, -0.2492, -0.2188]
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]
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self.latent_rgb_factors_bias = [ 0.1084, -0.0175, -0.0011]
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self.taesd_decoder_name = "taesdxl_decoder"
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class SDXL_Playground_2_5(LatentFormat):
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@ -147,23 +149,24 @@ class Flux(SD3):
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self.scale_factor = 0.3611
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self.shift_factor = 0.1159
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self.latent_rgb_factors =[
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[-0.0404, 0.0159, 0.0609],
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[ 0.0043, 0.0298, 0.0850],
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[ 0.0328, -0.0749, -0.0503],
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[-0.0245, 0.0085, 0.0549],
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[ 0.0966, 0.0894, 0.0530],
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[ 0.0035, 0.0399, 0.0123],
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[ 0.0583, 0.1184, 0.1262],
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[-0.0191, -0.0206, -0.0306],
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[-0.0324, 0.0055, 0.1001],
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[ 0.0955, 0.0659, -0.0545],
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[-0.0504, 0.0231, -0.0013],
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[ 0.0500, -0.0008, -0.0088],
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[ 0.0982, 0.0941, 0.0976],
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[-0.1233, -0.0280, -0.0897],
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[-0.0005, -0.0530, -0.0020],
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[-0.1273, -0.0932, -0.0680]
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[-0.0346, 0.0244, 0.0681],
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[ 0.0034, 0.0210, 0.0687],
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[ 0.0275, -0.0668, -0.0433],
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[-0.0174, 0.0160, 0.0617],
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[ 0.0859, 0.0721, 0.0329],
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[ 0.0004, 0.0383, 0.0115],
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[ 0.0405, 0.0861, 0.0915],
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[-0.0236, -0.0185, -0.0259],
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[-0.0245, 0.0250, 0.1180],
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[ 0.1008, 0.0755, -0.0421],
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[-0.0515, 0.0201, 0.0011],
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[ 0.0428, -0.0012, -0.0036],
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[ 0.0817, 0.0765, 0.0749],
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[-0.1264, -0.0522, -0.1103],
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[-0.0280, -0.0881, -0.0499],
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[-0.1262, -0.0982, -0.0778]
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]
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self.latent_rgb_factors_bias = [-0.0329, -0.0718, -0.0851]
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self.taesd_decoder_name = "taef1_decoder"
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def process_in(self, latent):
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@ -29,7 +29,6 @@ import comfy.text_encoders.long_clipl
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import comfy.model_patcher
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import comfy.lora
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import comfy.t2i_adapter.adapter
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import comfy.supported_models_base
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import comfy.taesd.taesd
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def load_lora_for_models(model, clip, lora, strength_model, strength_clip):
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@ -37,6 +37,7 @@ class SaveImageWebsocket:
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return {}
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@classmethod
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def IS_CHANGED(s, images):
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return time.time()
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