ComfyUI Node: Pick Image From Batches (FS)

Pick Image From Batches (FS):

The FS: Pick Image From Batches node is designed to help you select specific images from a collection of image batches. This node is particularly useful when you have multiple batches of images and need to extract a subset of images based on certain criteria. By providing a seed for randomization, a starting index, and the number of images to select, this node allows for flexible and controlled image selection. This can be beneficial for tasks such as data augmentation, creating diverse training datasets, or simply organizing and managing large collections of images. The node ensures that the selected images are returned in a consistent format, making it easier to integrate with other nodes and processes in your workflow.

Pick Image From Batches (FS) Input Parameters:

seed

The seed parameter is an integer that sets the seed for random number generation. This ensures that the selection process can be replicated if needed. The default value is 0, and it can be set to any integer value. Using the same seed value will result in the same selection of images, which is useful for reproducibility.

start_index

The start_index parameter is an integer that specifies the starting index from which images will be selected within each batch. If set to -1, a random starting index will be chosen. The default value is -1, with a minimum value of -1 and a maximum value of 32. This parameter allows you to control where the selection process begins within each batch.

select_amount

The select_amount parameter is an integer that determines the number of images to select from each batch. The default value is 1, with a minimum value of 1 and a maximum value of 32. This parameter allows you to specify how many images you want to extract, providing flexibility in the size of the selected subset.

Pick Image From Batches (FS) Output Parameters:

IMAGE

The output parameter IMAGE is a tensor containing the selected images from the batches. This output is crucial as it provides the subset of images that you specified through the input parameters. The selected images are returned in a consistent format, making them easy to use in subsequent nodes or processes.

Pick Image From Batches (FS) Usage Tips:

• To ensure reproducibility, use a fixed seed value when you need to select the same subset of images multiple times.
• If you want to select images randomly, set the start_index to -1. - Adjust the select_amount parameter based on the size of your batches and the number of images you need for your task.

Pick Image From Batches (FS) Common Errors and Solutions:

IndexError: index out of range

• Explanation: This error occurs when the start_index is set to a value greater than the number of images in the batch.
• Solution: Ensure that the start_index is within the valid range of indices for the batch. If unsure, set start_index to -1 to select a random starting index.

ValueError: select_amount exceeds batch size

• Explanation: This error occurs when the select_amount is greater than the number of images available in the batch.
• Solution: Adjust the select_amount to be less than or equal to the number of images in the batch. If you need to select all images, set select_amount to the batch size.