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Facilitates comparing before and after images, saving results with specified compression level for easy review.
The ComparingTwoFrames_
node is designed to facilitate the comparison of two images, typically referred to as the "before" and "after" images. This node is particularly useful for visualizing changes or differences between two frames, which can be essential in various creative and analytical processes. By leveraging this node, you can save the compared images with a specified compression level, making it easier to manage and review the results. The primary goal of this node is to provide a streamlined and efficient way to compare images, ensuring that any modifications or transformations are clearly documented and easily accessible.
The before_image
parameter represents the initial image or set of images that you want to compare against the "after" image. This parameter is crucial as it serves as the baseline for the comparison. The images should be in a compatible format and will be processed to highlight any differences when compared to the "after" images. There are no specific minimum or maximum values for this parameter, but it is essential to ensure that the images are of high quality to achieve accurate comparisons.
The after_image
parameter is the image or set of images that you want to compare with the "before" image. This parameter is essential for identifying changes or differences that have occurred. Similar to the before_image
parameter, the images should be in a compatible format and of high quality to ensure precise comparisons. The node will process these images and save the results, highlighting any modifications or transformations.
This node does not have explicit output parameters defined in the RETURN_TYPES. However, the primary output is the saved images that result from the comparison process. These images are stored in a specified directory with a filename prefix and compression level, making it easy to access and review the results.
before_image
and after_image
are of high quality and in a compatible format to achieve accurate comparisons.© Copyright 2024 RunComfy. All Rights Reserved.