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Adapts input image colors to match a reference image for harmonized color palettes in digital art.
The LayerColor: ColorAdapter node is designed to adapt the color scheme of an input image to match that of a reference image. This node is particularly useful for AI artists looking to harmonize the color palette of their artwork with another image, ensuring a cohesive and visually appealing result. By leveraging advanced image processing techniques, the ColorAdapter node seamlessly blends the colors from the reference image into the target image, allowing for creative and consistent color adjustments. This node is essential for tasks that require precise color matching and blending, enhancing the overall aesthetic quality of your digital art.
This parameter represents the target image that you want to adjust. The node will apply the color scheme from the reference image to this target image. The input should be an image tensor.
This parameter is the reference image whose color scheme will be used to adjust the target image. The node will extract the color information from this image and apply it to the target image. The input should be an image tensor.
This parameter controls the opacity level of the color adaptation effect. It determines how strongly the colors from the reference image are applied to the target image. The value ranges from 0 to 100, with a default value of 75. A higher value means a stronger color adaptation effect, while a lower value results in a more subtle effect.
The output is the adjusted image with the color scheme adapted from the reference image. This image tensor reflects the blending of the target image's original colors with those of the reference image, based on the specified opacity level.
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