ComfyUI Node: Image Batch

Image Batch:

The Zuellni Image Batch node is designed to combine two images into a single batch, facilitating the simultaneous processing of multiple images. This node is particularly useful for AI artists who need to handle multiple images in a streamlined manner, ensuring that both images are compatible in terms of dimensions before merging them. By leveraging this node, you can efficiently manage and process image pairs, enhancing your workflow and productivity in image manipulation tasks.

Image Batch Input Parameters:

image1

This parameter represents the first image to be included in the batch. It is essential that this image is provided in a compatible format, typically as a tensor. The dimensions of this image will be used as a reference to ensure that the second image is resized appropriately if necessary. This ensures that both images can be seamlessly combined into a single batch.

image2

This parameter represents the second image to be included in the batch. Similar to the first image, it should be provided in a compatible format. If the dimensions of this image do not match those of the first image, it will be automatically resized using bilinear interpolation to match the dimensions of the first image. This resizing ensures that both images can be combined without any issues.

Image Batch Output Parameters:

IMAGE

The output of this node is a single batch containing both input images. This batch is represented as a tensor, where the images are concatenated along the batch dimension. This output can then be used for further processing or analysis, allowing you to handle multiple images simultaneously in a consistent and efficient manner.

Image Batch Usage Tips:

• Ensure that both input images are in a compatible format and have similar dimensions to minimize the need for resizing and to maintain image quality.
• Use this node when you need to process multiple images together, such as for batch processing in neural networks or other image analysis tasks.
• If you encounter issues with image dimensions, consider pre-processing your images to ensure they are of the same size before using this node.

Image Batch Common Errors and Solutions:

Image dimension mismatch

• Explanation: This error occurs when the dimensions of the two input images do not match, and the second image cannot be resized appropriately.
• Solution: Ensure that both input images have similar dimensions or pre-process the images to match their sizes before using the node.

Invalid image format

• Explanation: This error occurs when the input images are not provided in a compatible format, such as a tensor.
• Solution: Convert your images to the appropriate tensor format before using this node to avoid format compatibility issues.