ComfyUI Node: Image List To Image Batch

Image List To Image Batch:

The easy imageListToImageBatch node is designed to streamline the process of combining multiple images into a single batch. This node is particularly useful for AI artists who need to process or manipulate several images simultaneously. By converting a list of individual images into a cohesive batch, it simplifies workflows and enhances efficiency. The node ensures that all images in the batch have consistent dimensions, automatically resizing any images that do not match the size of the first image in the list. This resizing is done using a high-quality interpolation method to maintain image integrity. The primary goal of this node is to facilitate batch processing, making it easier to apply transformations, filters, or other operations to multiple images at once.

Image List To Image Batch Input Parameters:

images

The images parameter accepts a list of images that you want to combine into a single batch. Each image in the list should be in the format recognized by the node, typically a tensor or array representing the image data. The node will automatically handle resizing of images to ensure they all have the same dimensions, using a high-quality interpolation method if necessary. This parameter is essential for the node to function, as it provides the raw image data that will be processed and combined. There are no specific minimum or maximum values for this parameter, but it is important to ensure that the images are compatible in terms of format and type.

Image List To Image Batch Output Parameters:

IMAGE

The output parameter IMAGE represents the combined batch of images. This output is a single tensor or array that contains all the input images stacked together along a new dimension. The resulting batch can then be used for further processing, such as applying filters, transformations, or feeding into a neural network for training or inference. The output ensures that all images in the batch have consistent dimensions, making it easier to handle and manipulate them as a group.

Image List To Image Batch Usage Tips:

• Ensure that all images in the input list are in the same format and type to avoid compatibility issues.
• Use this node to prepare batches of images for training machine learning models, as it simplifies the process of handling multiple images.
• If you have images of different sizes, rely on the node's automatic resizing feature to standardize dimensions, ensuring smooth batch processing.

Image List To Image Batch Common Errors and Solutions:

"Input images must be in the same format"

• Explanation: This error occurs when the images in the input list are not in the same format or type.
• Solution: Ensure that all images are converted to the same format before passing them to the node.

"Image dimensions do not match"

• Explanation: This error happens when the images have different dimensions and the node is unable to resize them properly.
• Solution: Check the dimensions of your images and ensure they are compatible. If necessary, manually resize the images to have the same dimensions before using the node.

"Invalid image data"

• Explanation: This error indicates that the input images contain invalid or corrupted data.
• Solution: Verify the integrity of your image files and ensure they are correctly loaded into the node. Re-load or re-process the images if needed.