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Concatenate two images into a single batch for streamlined processing in AI workflows.
The Image Batch node is designed to combine two images into a single batch, making it easier to process multiple images simultaneously. This node is particularly useful for AI artists who need to handle multiple images in their workflows, such as for batch processing or comparative analysis. By ensuring that the images are of the same dimensions, the node facilitates seamless concatenation, thus streamlining the image processing pipeline. The primary function of this node is to concatenate two images along the batch dimension, ensuring they are compatible in size, which is crucial for subsequent operations that require uniform image dimensions.
This parameter represents the first image to be included in the batch. It is essential that this image is provided, as it serves as the reference for the dimensions to which the second image will be adjusted if necessary. The image should be in a compatible format that the node can process.
This parameter represents the second image to be included in the batch. If the dimensions of this image do not match those of the first image, it will be resized to ensure compatibility. This resizing is done using a bilinear interpolation method, which helps maintain the quality of the image during the resizing process.
The output is a single batch of images, concatenated along the batch dimension. This batch can then be used for further processing in other nodes or operations that require multiple images. The output ensures that both images are of the same dimensions, facilitating smooth and error-free processing in subsequent steps.
image1
and image2
parameters are supplied with valid images.© Copyright 2024 RunComfy. All Rights Reserved.