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Efficiently splits horizontally concatenated composite images into two separate images for individual processing or analysis.
The tri3d-composite-image-splitter
node is designed to efficiently split a composite image, which is horizontally concatenated, into two separate images. This node is particularly useful when dealing with images that have been combined side-by-side and need to be processed or analyzed individually. By automating the splitting process, it saves time and effort, allowing you to focus on creative tasks rather than manual image editing. The node leverages image processing techniques to ensure that the split is precise, maintaining the quality and integrity of the original images. This functionality is essential for workflows that require individual image manipulation or analysis after initial composite creation.
The images
parameter is a required input that accepts a list of composite images. Each image in the list should be a horizontally concatenated image that you wish to split into two separate parts. The function of this parameter is to provide the node with the necessary data to perform the splitting operation. The impact of this parameter on the node's execution is significant, as it determines the images that will be processed and split. There are no specific minimum, maximum, or default values for this parameter, as it is dependent on the images you provide. However, it is important to ensure that the images are in a compatible format and are horizontally concatenated for the node to function correctly.
The image1
output parameter represents the first half of the split composite image. This output is crucial as it provides you with the left portion of the original composite image, allowing for further processing or analysis. The interpretation of this output is straightforward: it is the left side of the image that was originally part of a horizontally concatenated pair.
The image2
output parameter represents the second half of the split composite image. This output is equally important as it provides you with the right portion of the original composite image. Like image1
, this output allows for further processing or analysis of the right side of the image that was part of the original composite.
images
parameter are correctly formatted and horizontally concatenated to achieve accurate splitting results.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.