ComfyUI Node: LayerColor: ColorBalance

LayerColor: ColorBalance:

The LayerColor: ColorBalance node is designed to adjust the color balance of an image by manipulating the levels of cyan-red, magenta-green, and yellow-blue. This node is particularly useful for fine-tuning the color tones in your images, allowing you to achieve the desired visual effect. By adjusting these color channels, you can correct color imbalances, enhance specific hues, and create a more visually appealing image. The node processes each image layer individually, ensuring that the adjustments are applied consistently across the entire image. This makes it an essential tool for AI artists looking to refine the color quality of their digital artwork.

LayerColor: ColorBalance Input Parameters:

cyan_red

The cyan_red parameter controls the balance between cyan and red colors in the image. Adjusting this parameter will shift the color tones towards either cyan or red, depending on the value set. This can help correct color casts or enhance specific color tones in the image. The parameter typically ranges from -100 to 100, with 0 being the default value, representing no change.

magenta_green

The magenta_green parameter adjusts the balance between magenta and green colors. By modifying this parameter, you can shift the color tones towards magenta or green, which can be useful for correcting color imbalances or achieving a specific artistic effect. The parameter usually ranges from -100 to 100, with 0 as the default value, indicating no adjustment.

yellow_blue

The yellow_blue parameter influences the balance between yellow and blue colors in the image. Adjusting this parameter will shift the color tones towards either yellow or blue, allowing for precise color correction or enhancement. The parameter generally ranges from -100 to 100, with 0 being the default value, meaning no change.

LayerColor: ColorBalance Output Parameters:

balanced_image

The balanced_image output parameter provides the image after the color balance adjustments have been applied. This output is a tensor that represents the processed image, with the color tones adjusted according to the specified input parameters. The balanced image will have improved color quality and visual appeal, making it ready for further processing or final use.

LayerColor: ColorBalance Usage Tips:

• To achieve a natural look, start with small adjustments to the cyan_red, magenta_green, and yellow_blue parameters and gradually increase the values until the desired effect is achieved.
• Use the cyan_red parameter to correct images with a red or cyan color cast, which is common in photos taken under certain lighting conditions.
• Adjust the magenta_green parameter to enhance skin tones or correct greenish tints in portraits.
• Utilize the yellow_blue parameter to balance images with a yellow or blue color cast, often seen in outdoor or underwater photography.

LayerColor: ColorBalance Common Errors and Solutions:

"Invalid image format"

• Explanation: This error occurs when the input image is not in a supported format.
• Solution: Ensure that the input image is in a valid format such as RGB or RGBA.

"Parameter out of range"

• Explanation: This error happens when one of the input parameters is set outside the acceptable range.
• Solution: Verify that the cyan_red, magenta_green, and yellow_blue parameters are within the range of -100 to 100.

"Image processing failed"

• Explanation: This error indicates a failure during the image processing stage.
• Solution: Check the input image and parameters for any inconsistencies and try again. If the problem persists, consider restarting the application or checking for software updates.