remove sample_error_enhancer
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@@ -18,7 +18,6 @@ modules_path = os.path.join(os.path.dirname(__file__), "modules")
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sys.path.append(modules_path)
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import impact.config
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import impact.sample_error_enhancer
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print(f"### Loading: ComfyUI-Impact-Pack ({impact.config.version})")
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# Core
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@@ -1,7 +1,7 @@
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import configparser
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import os
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version_code = [8, 8, 2]
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version_code = [8, 8, 3]
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version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
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dependency_version = 24
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@@ -1,25 +0,0 @@
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import comfy.sample
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import traceback
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original_sample = comfy.sample.sample
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def informative_sample(*args, **kwargs):
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try:
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return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.
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except RuntimeError as e:
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is_model_mix_issue = False
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try:
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if 'mat1 and mat2 shapes cannot be multiplied' in e.args[0]:
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if 'torch.nn.functional.linear' in traceback.format_exc().strip().split('\n')[-3]:
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is_model_mix_issue = True
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except:
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pass
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if is_model_mix_issue:
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raise RuntimeError("\n\n#### It seems that models and clips are mixed and interconnected between SDXL Base, SDXL Refiner, SD1.x, and SD2.x. Please verify. ####\n\n")
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else:
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raise e
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comfy.sample.sample = informative_sample
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+1
-1
@@ -1,7 +1,7 @@
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[project]
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name = "comfyui-impact-pack"
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description = "This node pack offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler."
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version = "8.8.2"
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version = "8.8.3"
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license = { file = "LICENSE.txt" }
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dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]
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