ComfyUI Node: Exposure Fusion

Exposure Fusion:

HDRExposureFusion is a powerful node designed to merge multiple images with different exposures into a single high dynamic range (HDR) image. This process, known as exposure fusion, enhances the details and colors in the final image by combining the best-exposed parts of each input image. The node leverages advanced algorithms to ensure that the resulting image captures a wide range of luminance levels, providing a more realistic and visually appealing output. This is particularly useful for AI artists looking to create images with enhanced depth and detail, making their artwork stand out with vibrant and balanced lighting.

Exposure Fusion Input Parameters:

image_a

This is the primary input image for the HDR exposure fusion process. It serves as the base image to which other optional images will be compared and merged. The quality and exposure of this image significantly impact the final HDR result.

image_b

This is an optional secondary input image that can be used to enhance the HDR effect. When provided, it will be merged with the primary image to capture a broader range of exposures. If not provided, the node will only use the primary image.

image_c

This is another optional input image that can be included in the HDR fusion process. Adding this image allows for even more detailed exposure blending, resulting in a richer HDR image. It is not required but can improve the final output.

image_d

This is an additional optional input image for the HDR fusion process. Including this image can further enhance the dynamic range and detail of the final HDR image. Like the other optional images, it is not mandatory but can contribute to a better result.

Exposure Fusion Output Parameters:

IMAGE

The output is a single HDR image that combines the best-exposed parts of all the input images. This image will have enhanced details, colors, and a wider range of luminance levels, making it more visually appealing and realistic. The output is in the form of a tensor that can be further processed or used directly in your AI art projects.

Exposure Fusion Usage Tips:

• To achieve the best results, use images with significantly different exposure levels. This will allow the node to capture a wider range of details and luminance.
• Ensure that all input images have the same resolution and batch size to avoid errors and achieve a seamless HDR fusion.
• Experiment with different combinations of input images to see how varying exposures affect the final HDR image. This can help you find the perfect balance for your specific project.

Exposure Fusion Common Errors and Solutions:

Batch size mismatch!

• Explanation: This error occurs when the input images do not have the same batch size, which is required for the HDR fusion process.
• Solution: Ensure that all input images have the same batch size before feeding them into the node. You can resize or crop the images to match their dimensions.

Input image is None

• Explanation: This error happens when one of the optional input images (image_b, image_c, or image_d) is not provided or is set to None.
• Solution: If you intend to use optional images, make sure they are correctly loaded and passed to the node. If not, ensure that the primary image (image_a) is sufficient for your needs.