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Update comfy_extras/nodes_seedvr.py
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@ -268,8 +268,8 @@ class SeedVR2PostProcessing(io.ComfyNode):
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category="image/upscaling",
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category="image/upscaling",
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description="Align the generated image with the original resized image and apply color correction.",
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description="Align the generated image with the original resized image and apply color correction.",
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inputs=[
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inputs=[
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io.Image.Input("images", tooltip="The decoded upscaled image to color-correct."),
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io.Image.Input("images", tooltip="The generated image to process."),
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io.Image.Input("original_resized_images", tooltip="The original resized (pre-pad) image used as the geometry and color reference."),
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io.Image.Input("original_resized_images", tooltip="The original resized image before pre-processing, used as reference."),
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io.Combo.Input("color_correction_method", options=["lab", "wavelet", "adain", "none"], default="lab", tooltip="How to match the output's color to the original. lab: transfer color in CIELAB space, preserving detail (most faithful). wavelet: transfer low-frequency color, keeping upscaled high-frequency detail. adain: match per-channel mean/std (fastest, global tint). none: skip color transfer (geometry alignment only)."),
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io.Combo.Input("color_correction_method", options=["lab", "wavelet", "adain", "none"], default="lab", tooltip="How to match the output's color to the original. lab: transfer color in CIELAB space, preserving detail (most faithful). wavelet: transfer low-frequency color, keeping upscaled high-frequency detail. adain: match per-channel mean/std (fastest, global tint). none: skip color transfer (geometry alignment only)."),
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],
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],
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outputs=[io.Image.Output(display_name="images")],
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outputs=[io.Image.Output(display_name="images")],
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