ComfyUI Node: HDR Effects (SuperBeasts.AI)

HDR Effects (SuperBeasts.AI):

The HDR Effects (SuperBeasts.AI) node is designed to enhance the dynamic range and visual appeal of your images by applying High Dynamic Range (HDR) techniques. This node processes your images to bring out more detail in both the shadows and highlights, creating a more balanced and vibrant look. By converting the image to the LAB color space, it ensures better color preservation while making adjustments. The node allows you to fine-tune various parameters such as shadow intensity, highlight intensity, gamma correction, contrast, and color enhancement, giving you precise control over the final output. This makes it an invaluable tool for AI artists looking to improve the quality and depth of their images.

HDR Effects (SuperBeasts.AI) Input Parameters:

hdr_intensity

The hdr_intensity parameter controls the overall strength of the HDR effect applied to the image. A higher value will result in a more pronounced HDR effect, enhancing both shadows and highlights. The value ranges from 0 to 1, with a default value of 0.5.

shadow_intensity

The shadow_intensity parameter adjusts the depth of the shadows in the image. Increasing this value will darken the shadows more, adding depth and contrast. The value ranges from 0 to 1, with a default value of 0.25.

highlight_intensity

The highlight_intensity parameter controls the brightness of the highlights in the image. A higher value will make the highlights brighter, adding more detail to the lighter areas. The value ranges from 0 to 1, with a default value of 0.75.

gamma_intensity

The gamma_intensity parameter applies gamma correction to the image, affecting the overall brightness and contrast. Adjusting this value can help in fine-tuning the image's tonal balance. The value ranges from 0 to 1, with a default value of 0.25.

contrast

The contrast parameter enhances the contrast of the image, making the dark areas darker and the light areas lighter. This can add more depth and definition to the image. The value ranges from 0 to 1, with a default value of 0.1.

enhance_color

The enhance_color parameter boosts the color saturation of the image, making the colors more vivid and vibrant. This can make the image more visually appealing. The value ranges from 0 to 1, with a default value of 0.25.

HDR Effects (SuperBeasts.AI) Output Parameters:

adjusted_image

The adjusted_image parameter is the final output image after applying all the HDR effects and adjustments. This image will have enhanced dynamic range, better contrast, and more vibrant colors, making it more visually appealing and detailed.

HDR Effects (SuperBeasts.AI) Usage Tips:

• Experiment with different hdr_intensity values to find the right balance for your image. Higher values can create a more dramatic effect, while lower values offer a subtler enhancement.
• Use the shadow_intensity and highlight_intensity parameters to fine-tune the details in the dark and light areas of your image. This can help in bringing out hidden details and improving overall image quality.
• Adjust the gamma_intensity to correct any overexposure or underexposure issues in your image. This can help in achieving a more balanced tonal range.
• Enhance the contrast and color saturation to make your image more vibrant and visually appealing. Be cautious with these settings to avoid over-processing the image.

HDR Effects (SuperBeasts.AI) Common Errors and Solutions:

Image conversion error

• Explanation: This error occurs when there is an issue converting the image between different color profiles.
• Solution: Ensure that the image is in a compatible format and that the necessary color profiles (sRGB and LAB) are available.

Parameter out of range

• Explanation: This error occurs when one of the input parameters is set outside its valid range.
• Solution: Check the input parameters and ensure they are within the specified ranges. For example, hdr_intensity, shadow_intensity, highlight_intensity, gamma_intensity, contrast, and enhance_color should all be between 0 and 1.

Image processing error

• Explanation: This error occurs during the image processing steps, such as adjusting shadows or highlights.
• Solution: Verify that the input image is not corrupted and that all necessary libraries and dependencies are correctly installed. If the problem persists, try using a different image to see if the issue is specific to the original image.