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Combine multiple images into a single batch for streamlined processing and compatibility.
The ImageListToImageBatch
node is designed to streamline the process of combining multiple images into a single batch. This is particularly useful when you have a list of individual images that you want to process together as a batch. The node ensures that all images in the list are compatible in terms of dimensions, automatically resizing them if necessary, and then concatenates them along the batch dimension. This functionality is essential for tasks that require batch processing, such as applying the same transformation or model inference to multiple images simultaneously. By using this node, you can efficiently manage and manipulate image data, saving time and effort in your workflow.
The images
parameter expects a list of images that you want to combine into a single batch. Each image in the list should be in the same format, but they can have different dimensions. The node will automatically resize images to match the dimensions of the first image in the list, ensuring compatibility. This parameter is crucial as it determines the input data that will be processed and combined. There are no specific minimum, maximum, or default values for this parameter, but it should contain at least one image to function correctly.
The output parameter IMAGE
is a single batch of images created by concatenating the input images along the batch dimension. This batch can then be used for further processing or analysis. The output is significant because it allows you to handle multiple images as a single entity, facilitating batch operations and improving efficiency in tasks that require processing multiple images simultaneously.
ValueError: Expected input images to have the same dimensions
TypeError: Input images must be a list
[image1, image2, image3]
.RuntimeError: Concatenation failed due to incompatible image formats
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