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Efficiently filter and select specific images from a batch based on indices, saving time and computational resources.
The Select Image Indices node is designed to allow you to selectively choose specific images from a batch of images based on their indices. This node is particularly useful when you have a large set of images and you only want to process or analyze a subset of them. By specifying the indices of the images you are interested in, you can efficiently filter out the unnecessary images and focus on the ones that matter. This can save computational resources and time, especially when dealing with high-resolution images or large datasets. The node supports both individual indices and ranges, providing flexibility in how you select the images.
This parameter expects a tensor containing the batch of images from which you want to select specific images. The images should be in a 4-dimensional tensor format, typically representing the batch size, channels, height, and width. The function of this parameter is to provide the source images that will be filtered based on the specified indices. There are no minimum or maximum values for this parameter, but it should be a valid tensor of images.
This parameter is a string that specifies the indices of the images you want to select. The indices can be provided as individual numbers separated by commas (e.g., "0,2,4") or as ranges using a colon (e.g., "1:3" to select indices 1, 2, and 3). You can also combine individual indices and ranges (e.g., "0,2:4"). The function of this parameter is to define which images from the batch should be selected. There are no default values, and the string should be formatted correctly to avoid errors.
The output parameter is a tensor containing the selected images based on the specified indices. If no valid indices are provided, the output will be the original batch of images. The function of this parameter is to return the filtered set of images that match the specified indices, allowing you to proceed with further processing or analysis on this subset.
selected_indexes
string is correctly formatted to avoid errors. Use commas for individual indices and colons for ranges.selected_indexes
string to select a complex subset of images efficiently.selected_indexes
string is not correctly formatted.selected_indexes
string are out of the range of the batch size.selected_indexes
string did not match any valid indices, resulting in no images being selected.selected_indexes
string to ensure they match the desired images. If necessary, adjust the indices to select the correct images.© Copyright 2024 RunComfy. All Rights Reserved.