ComfyUI Node: LayerColor: Levels

LayerColor: Levels:

The LayerColor: Levels node is designed to provide precise control over the tonal range and color balance of an image. This node allows you to adjust the black, white, and gray points of an image, which can significantly enhance the visual quality and contrast. By manipulating these points, you can correct exposure issues, improve the overall brightness and contrast, and achieve a more balanced and visually appealing image. The node is particularly useful for fine-tuning images to meet specific artistic or technical requirements, making it an essential tool for AI artists looking to refine their work.

LayerColor: Levels Input Parameters:

image

This parameter accepts the image you want to process. The image should be in a compatible format that the node can handle.

channel

This parameter allows you to select the color channel you want to adjust. Options include "RGB", "red", "green", and "blue". Adjusting individual channels can help you correct color imbalances or achieve specific color effects.

black_point

This integer parameter sets the black point of the image. The black point is the darkest part of the image, and adjusting it can help you enhance the contrast. The value ranges from 0 to 255, with a default of 0. Increasing this value will make more of the image appear black.

white_point

This integer parameter sets the white point of the image. The white point is the brightest part of the image, and adjusting it can help you enhance the contrast. The value ranges from 0 to 255, with a default of 255. Decreasing this value will make more of the image appear white.

gray_point

This float parameter sets the gray point of the image, which affects the midtones. Adjusting the gray point can help you fine-tune the brightness and contrast of the midtones. The value ranges from 0.01 to 9.99, with a default of 1.

output_black_point

This integer parameter sets the output black point, which determines the darkest value in the output image. The value ranges from 0 to 255, with a default of 0. Adjusting this can help you control the depth of the shadows in the final image.

output_white_point

This integer parameter sets the output white point, which determines the brightest value in the output image. The value ranges from 0 to 255, with a default of 255. Adjusting this can help you control the brightness of the highlights in the final image.

LayerColor: Levels Output Parameters:

image

The output is the processed image with the adjusted levels. This image will have enhanced contrast and color balance based on the input parameters you have set. The adjustments can help improve the visual quality and meet specific artistic or technical requirements.

LayerColor: Levels Usage Tips:

• Use the black_point and white_point sliders to quickly enhance the contrast of your image by setting the darkest and brightest points.
• Adjust the gray_point to fine-tune the midtones, which can help in achieving a balanced exposure.
• Experiment with individual color channels (red, green, blue) to correct color imbalances or to create specific color effects.
• Use the output_black_point and output_white_point to control the final appearance of shadows and highlights, ensuring that the image does not lose detail in these areas.

LayerColor: Levels Common Errors and Solutions:

Image not displaying correctly

• Explanation: This could be due to incorrect settings of the black, white, or gray points.
• Solution: Reset the points to their default values and adjust them gradually to see the effect on the image.

Color imbalance after adjustment

• Explanation: Adjusting individual color channels can sometimes lead to an unintended color cast.
• Solution: Ensure that you are making balanced adjustments across all channels or reset the channels to their default values and start over.

Image appears too dark or too bright

• Explanation: The black point or white point might be set too aggressively.
• Solution: Adjust the black and white points to more moderate values and observe the changes in the image.

Midtones not adjusting as expected

• Explanation: The gray point might be set incorrectly.
• Solution: Adjust the gray point slider to see how it affects the midtones and find a balanced setting.