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Convert batch images to individual images for easy processing and manipulation.
The easy imageBatchToImageList
node is designed to simplify the process of converting a batch of images into a list of individual images. This node is particularly useful when you have a collection of images grouped together in a single batch and you need to process or manipulate each image separately. By breaking down the batch into a list, you can apply different operations to each image independently, enhancing your workflow flexibility and efficiency. This node is essential for AI artists who often work with multiple images and need a straightforward way to handle them individually without manually separating them.
This parameter represents the batch of images that you want to convert into a list. The input should be a tensor containing multiple images stacked together. Each image in the batch should have the same dimensions (height, width, and channels). The node will take this batch and split it into individual images, making it easier to process each one separately. There are no specific minimum, maximum, or default values for this parameter, but it is crucial that the images in the batch are consistent in size and format.
The output of this node is a list of individual images extracted from the input batch. Each image in the list retains the original dimensions and format from the batch. This output allows you to handle each image separately, enabling more granular control over your image processing tasks. The list format makes it easy to iterate over the images and apply different operations to each one as needed.
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