Visit ComfyUI Online for ready-to-use ComfyUI environment
Select specific images from batch based on criteria for efficient image batch management.
The FS: Pick Image From Batch node is designed to help you select specific images from a batch of images based on various criteria. This node is particularly useful when working with large sets of images and you need to extract a subset for further processing or analysis. By allowing you to specify parameters such as the starting index and the number of images to select, this node provides a flexible and efficient way to manage and manipulate image batches. Whether you are working on image generation, editing, or any other AI art project, this node can streamline your workflow by automating the selection process.
This parameter represents the batch of images from which you want to select specific images. The images should be in a format that the node can process, typically as a tensor or a list of image arrays.
The seed parameter is an integer that sets the random seed for selecting images. This ensures that the selection process can be replicated if needed. The default value is 0.
The start_index parameter determines the starting point in the batch from which images will be selected. If set to -1, a random starting index will be chosen. The value ranges from -1 to 32, with a default of -1.
This parameter specifies the number of images to select from the batch. It ensures that you can control the size of the subset you are working with. The value ranges from 1 to 32, with a default of 1.
The output is a subset of the original batch of images, selected based on the specified input parameters. This allows you to work with a more manageable set of images for your specific needs.
© Copyright 2024 RunComfy. All Rights Reserved.