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Efficiently select specific images from batches with control over direction and count for focused processing.
The Pick From Batch (mtb) node is designed to help you select a specific number of images from a batch, either from the start or the end of the batch. This can be particularly useful when you are working with large sets of images and need to focus on a subset for further processing or analysis. By allowing you to specify the direction and count of images to pick, this node provides flexibility and control over your image selection process, ensuring that you can efficiently manage and utilize your image batches.
This parameter represents the batch of images from which you want to pick a subset. The batch is typically a tensor containing multiple images. The function of this parameter is to provide the source data for the node to operate on. There are no specific minimum or maximum values for this parameter, as it depends on the size of your image batch.
This parameter allows you to specify the direction from which to pick the images in the batch. The options are "start" and "end", with the default value being "start". If you choose "start", the node will pick images from the beginning of the batch. If you choose "end", it will pick images from the end of the batch. This parameter impacts the subset of images that will be selected based on your preference.
This parameter defines the number of images you want to pick from the batch. The default value is 1. The function of this parameter is to limit the number of images selected, ensuring that you do not exceed the available number of images in the batch. The node will automatically adjust the count if it exceeds the batch size, ensuring that you only get the available images.
The output parameter is a tensor containing the selected subset of images from the batch. The function of this output is to provide you with the specific images you requested, either from the start or end of the batch, based on the count you specified. This allows you to use these selected images for further processing or analysis in your workflow.
from_direction
parameter to "start" and specify the desired count
.from_direction
parameter to "end" and specify the desired count
.count
parameter does not exceed the total number of images in the batch to avoid warnings and ensure smooth operation.<count>
images, but only <batch_size>
are available.count
exceeds the number of images available in the batch.count
parameter to be less than or equal to the total number of images in the batch. The node will automatically limit the count to the available number of images, but it is good practice to set it correctly to avoid warnings.© Copyright 2024 RunComfy. All Rights Reserved.