ComfyUI Node: Make Image Batch

Make Image Batch:

The Make Image Batch node is designed to streamline the process of creating a batch of images from multiple individual images or existing batches. This node is particularly useful for AI artists who need to manage and manipulate multiple images simultaneously, allowing for efficient batch processing. By combining several images into a single batch, you can apply consistent transformations, enhancements, or other operations across all images in the batch, ensuring uniformity and saving time. The primary function of this node is to concatenate the provided images along the batch dimension, making it easier to handle and process them as a collective group.

Make Image Batch Input Parameters:

image1

This is the primary image input and is required for the node to function. It serves as the base image to which other images will be appended. The image should be in a compatible format that the node can process.

image2

This is an optional image input. If provided, this image will be concatenated to image1 along the batch dimension. This allows you to add more images to the batch, expanding the set of images to be processed together.

image3

This is an optional image input. Similar to image2, if provided, this image will be concatenated to the existing batch of images. This further increases the number of images in the batch.

image4

This is an optional image input. If provided, this image will be concatenated to the current batch, allowing for even more images to be included in the batch processing.

image5

This is an optional image input. If provided, this image will be concatenated to the batch, adding to the total number of images being processed.

image6

This is an optional image input. If provided, this image will be concatenated to the batch, further expanding the batch size.

Make Image Batch Output Parameters:

IMAGE

The output is a single batch of images, concatenated along the batch dimension. This batch can then be used for further processing, transformations, or analysis. The output maintains the individual properties of each input image but combines them into a single tensor for streamlined handling.

Make Image Batch Usage Tips:

• Ensure that all input images have the same dimensions and format to avoid errors during concatenation.
• Use this node to prepare a batch of images for consistent processing, such as applying the same filter or transformation to all images in the batch.
• Take advantage of the optional inputs to include up to six images in a single batch, making it easier to manage multiple images simultaneously.

Make Image Batch Common Errors and Solutions:

Dimension mismatch error

• Explanation: This error occurs when the input images have different dimensions or formats, making it impossible to concatenate them along the batch dimension.
• Solution: Ensure that all input images have the same dimensions and format before using the Make Image Batch node.

Missing required input error

• Explanation: This error occurs when the required image1 input is not provided.
• Solution: Always provide a valid image for the image1 input to ensure the node functions correctly.

Unsupported image format error

• Explanation: This error occurs when an input image is in an unsupported format.
• Solution: Convert the input images to a supported format before using the Make Image Batch node.