◎ Radiance Grade:
RadianceGrade is a professional color grading node designed to enhance your images by adjusting various color parameters. It allows you to fine-tune the visual aesthetics of your images through per-channel adjustments of Lift, Gamma, Gain, and Offset, as well as overall Contrast, Pivot, and Saturation. This node is particularly beneficial for achieving precise color correction and creative color grading, making it an essential tool for AI artists looking to refine their visual outputs. By leveraging JSON preset loading and matching capabilities, RadianceGrade offers a flexible and powerful approach to color grading, enabling you to apply consistent color styles across different images or match the color statistics of a source image to a reference image.
◎ Radiance Grade Input Parameters:
image
The image parameter is the input image that you want to apply the color grading to. It should be in RGB format, as the grading process requires at least three color channels. If the image has only one channel, it will be automatically broadcasted to RGB. This parameter is crucial as it serves as the base for all subsequent color adjustments.
lift_r, lift_g, lift_b
These parameters control the lift adjustment for the red, green, and blue channels, respectively. Lift affects the shadows of the image, allowing you to brighten or darken the darkest parts. The default value is 0.0, with no specific minimum or maximum, but typically values range from -1.0 to 1.0.
gamma_r, gamma_g, gamma_b
These parameters adjust the gamma for the red, green, and blue channels. Gamma affects the midtones of the image, providing a way to adjust the brightness without affecting the shadows and highlights too much. The default value is 1.0, with a typical range from 0.1 to 3.0.
gain_r, gain_g, gain_b
These parameters control the gain adjustment for the red, green, and blue channels. Gain affects the highlights, allowing you to increase or decrease the brightness of the lightest parts of the image. The default value is 1.0, with a typical range from 0.0 to 2.0.
offset_r, offset_g, offset_b
These parameters adjust the offset for the red, green, and blue channels. Offset provides a linear adjustment across the entire image, shifting all pixel values up or down. The default value is 0.0, with no specific minimum or maximum, but typically values range from -1.0 to 1.0.
contrast
The contrast parameter adjusts the overall contrast of the image, affecting the difference between the darkest and lightest parts. The default value is 1.0, with a typical range from 0.0 to 2.0.
pivot
The pivot parameter determines the point around which contrast adjustments are made. It is a value between 0.0 and 1.0, with a default of 0.5, representing the midpoint of the tonal range.
saturation
The saturation parameter adjusts the intensity of the colors in the image. A value of 1.0 means no change, while values greater than 1.0 increase saturation and values less than 1.0 decrease it. The typical range is from 0.0 to 2.0.
preset
This parameter allows you to select a predefined set of grading adjustments. If set to "None (Custom)," no preset is applied. Otherwise, it applies the selected preset's adjustments to the image.
preset_strength
This parameter controls the strength of the applied preset, allowing you to blend between the custom adjustments and the preset. The default value is 0.0, with a range from 0.0 to 1.0.
reference_image
The reference_image parameter is used for matching the color statistics of the input image to a reference image. This is particularly useful for achieving consistent color grading across different images.
match_strength
This parameter controls the strength of the color matching process when a reference image is provided. The default value is 0.0, with a range from 0.0 to 1.0.
◎ Radiance Grade Output Parameters:
graded_image
The graded_image is the output image after applying the color grading adjustments. It reflects all the changes made through the input parameters, providing a visually enhanced version of the input image.
grade_info
The grade_info is a JSON string that contains all the grading parameters applied to the image. This information can be used to replicate the same grading on other images or for documentation purposes.
◎ Radiance Grade Usage Tips:
- Experiment with the Lift, Gamma, and Gain parameters to achieve the desired balance between shadows, midtones, and highlights.
- Use the preset and preset_strength parameters to quickly apply and adjust predefined color styles.
- Utilize the reference_image and match_strength parameters to ensure consistent color grading across a series of images.
◎ Radiance Grade Common Errors and Solutions:
Image has <number> channel(s), expected >= 3. Grading requires RGB input.
- Explanation: This error occurs when the input image does not have at least three color channels, which are required for RGB grading.
- Solution: Ensure that your input image is in RGB format. If it has only one channel, consider converting it to RGB by repeating the channel across the three RGB channels.
Failed to load preset file: <error_message>
- Explanation: This error indicates that there was an issue loading the preset file, possibly due to a file not found or a JSON parsing error.
- Solution: Verify that the preset file path is correct and that the file is a valid JSON format. Check for any syntax errors in the JSON file.
