ComfyUI Node: 🔧 Image Color Match

🔧 Image Color Match+:

The ImageColorMatch+ node is designed to adjust the colors of an image to match the colors of a reference image. This node is particularly useful for AI artists who want to ensure color consistency across different images or to apply a specific color palette from one image to another. By leveraging advanced color space transformations, the node can accurately map the colors from the reference image to the target image, resulting in a visually cohesive output. This process can enhance the aesthetic appeal of your artwork by harmonizing the color schemes, making it an essential tool for image processing and manipulation.

🔧 Image Color Match+ Input Parameters:

image

This parameter represents the target image whose colors you want to adjust. The image should be in a standard format and will be processed to match the colors of the reference image. The quality and resolution of the input image can impact the final result, so using high-quality images is recommended.

reference_image

This parameter is the reference image whose color palette will be used to adjust the target image. The reference image provides the color information that will be mapped onto the target image. Ensure that the reference image has the desired color characteristics you want to apply to the target image.

color_space

This parameter specifies the color space in which the color matching will be performed. Options include "LAB", "YCbCr", "LUV", "YUV", and "XYZ". Each color space has its own characteristics and can affect the outcome of the color matching process. The default value is "LAB", which is commonly used for color adjustments due to its perceptual uniformity.

🔧 Image Color Match+ Output Parameters:

IMAGE

The output parameter is the adjusted image with colors matched to the reference image. This image will have the same dimensions and format as the input image but with a color palette that closely resembles the reference image. The output image can be used directly in your artwork or further processed as needed.

🔧 Image Color Match+ Usage Tips:

• For best results, use high-quality images for both the target and reference images to ensure accurate color matching.
• Experiment with different color spaces to see which one provides the best results for your specific images. The "LAB" color space is a good starting point.
• Use images with similar lighting conditions to achieve more natural-looking color adjustments.

🔧 Image Color Match+ Common Errors and Solutions:

ValueError: Mismatched image dimensions

• Explanation: This error occurs when the target image and the reference image have different dimensions.
• Solution: Ensure that both images have the same dimensions before using the node. You can resize one of the images to match the other.

TypeError: Unsupported color space

• Explanation: This error occurs when an unsupported color space is specified.
• Solution: Check the color space parameter and ensure it is one of the supported options: "LAB", "YCbCr", "LUV", "YUV", or "XYZ".

RuntimeError: Image processing failed

• Explanation: This error can occur due to various reasons such as corrupted image files or insufficient memory.
• Solution: Verify that the input images are not corrupted and that your system has enough memory to process the images. Try using smaller images if the problem persists.