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Combine multiple images into a batch, resize to match first image, streamline batch processing workflows.
The ImageBatchOneOrMore
node is designed to facilitate the combination of multiple images into a single batch. This node is particularly useful when you need to process several images simultaneously, ensuring they are all resized to match the dimensions of the first image in the batch. By leveraging this node, you can streamline workflows that require batch processing of images, such as applying the same filter or transformation to multiple images at once. The node intelligently handles optional images, resizing them as necessary to maintain consistency across the batch, thus simplifying the process and saving you time.
This is the primary image that serves as the reference for the batch. All other images will be resized to match the dimensions of this image if necessary. This parameter is required and must be provided for the node to function.
This is an optional secondary image that can be included in the batch. If provided, it will be resized to match the dimensions of image1
if they differ. If not provided, the batch will proceed without this image.
This is an optional tertiary image that can be included in the batch. If provided, it will be resized to match the dimensions of image1
if they differ. If not provided, the batch will proceed without this image.
This is an optional fourth image that can be included in the batch. If provided, it will be resized to match the dimensions of image1
if they differ. If not provided, the batch will proceed without this image.
This is an optional fifth image that can be included in the batch. If provided, it will be resized to match the dimensions of image1
if they differ. If not provided, the batch will proceed without this image.
This is an optional sixth image that can be included in the batch. If provided, it will be resized to match the dimensions of image1
if they differ. If not provided, the batch will proceed without this image.
The output is a single batch of images concatenated along the batch dimension. This batch will include image1
and any of the optional images (image2
to image6
) that were provided. All images in the batch will have consistent dimensions, matching those of image1
.
image1
is the largest image in terms of dimensions if you want to avoid unnecessary upscaling of other images.image1
.image1
.image1
) is not provided.image1
parameter, as it is required for the node to function.© Copyright 2024 RunComfy. All Rights Reserved.