ComfyUI Node: ImageBatchToList

ImageBatchToList:

The ImageBatchToList node is designed to convert a batch of images into a list format, making it easier to handle and process individual images within a batch. This node is particularly useful when you need to perform operations on each image separately or when you want to re-organize the batch into smaller groups. By transforming the batch into a list, you gain more flexibility in manipulating and processing the images, which can be beneficial for various image processing tasks and workflows.

ImageBatchToList Input Parameters:

images

This parameter accepts a batch of images that you want to convert into a list. The batch should be in the form of a tensor where the first dimension represents the number of images in the batch. Each image in the batch should have the same dimensions. The node will take this batch and split it into individual images, which will then be returned as a list. There are no specific minimum, maximum, or default values for this parameter, but it is essential that the input is a valid batch of images.

ImageBatchToList Output Parameters:

images

The output is a list of images extracted from the input batch. Each image in the list retains the original dimensions and properties from the batch. This list format allows for more granular control and manipulation of each image, enabling you to apply different operations or transformations to individual images as needed.

ImageBatchToList Usage Tips:

• Use this node when you need to apply different processing steps to each image in a batch individually.
• Combine this node with other nodes that operate on single images to create more complex image processing pipelines.
• Ensure that the input batch of images has consistent dimensions to avoid errors during the conversion process.

ImageBatchToList Common Errors and Solutions:

Input batch dimensions mismatch

• Explanation: This error occurs when the images in the input batch have different dimensions.
• Solution: Ensure that all images in the batch have the same dimensions before passing them to the ImageBatchToList node.

Invalid input type

• Explanation: This error occurs when the input is not a valid batch of images.
• Solution: Verify that the input is a tensor representing a batch of images and that it conforms to the expected format.