ComfyUI Node: Image batch to Image List

Image batch to Image List:

The ImpactImageBatchToImageList node is designed to convert a batch of images into a list of individual images. This node is particularly useful when you need to process or manipulate each image separately after they have been batched together. By transforming a batch into a list, you can apply different operations to each image independently, enhancing flexibility and control in your image processing workflow. This node is essential for scenarios where subsequent operations require individual images rather than a combined batch, ensuring that each image can be handled with precision and tailored adjustments.

Image batch to Image List Input Parameters:

image

The image parameter expects a batch of images as input. This batch is typically a multi-dimensional tensor where the first dimension represents the number of images in the batch. The node will split this batch into individual images, making it easier to process each one separately. There are no specific minimum or maximum values for this parameter, but it should be a valid image batch tensor.

Image batch to Image List Output Parameters:

IMAGE

The output is a list of images, where each image is extracted from the input batch. This list allows you to handle each image individually, providing greater flexibility for subsequent image processing tasks. Each image in the list retains its original dimensions and properties, ensuring that no data is lost during the conversion process.

Image batch to Image List Usage Tips:

• Use this node when you need to apply different operations to each image in a batch. By converting the batch into a list, you can process each image independently.
• This node is particularly useful in workflows where subsequent nodes or operations require individual images rather than a combined batch.

Image batch to Image List Common Errors and Solutions:

Invalid image batch input

• Explanation: The input provided is not a valid image batch tensor.
• Solution: Ensure that the input is a correctly formatted batch of images, typically a multi-dimensional tensor where the first dimension represents the number of images.

Empty image batch

• Explanation: The input image batch is empty, meaning it contains no images.
• Solution: Provide a non-empty batch of images as input to ensure the node can process and convert them into a list.