ComfyUI Node: Image Batch Multi

Image Batch Multi:

The ImageBatchMulti node is designed to streamline the process of creating an image batch from multiple individual images. This node is particularly useful when you need to combine several images into a single batch for further processing or analysis. By specifying the number of images you want to include, you can dynamically adjust the node's input parameters to accommodate your needs. This flexibility allows you to efficiently manage and manipulate multiple images, making it an essential tool for AI artists who work with large sets of images. The primary goal of this node is to simplify the creation of image batches, ensuring that you can easily combine images without needing to manually handle each one.

Image Batch Multi Input Parameters:

inputcount

The inputcount parameter determines the number of images you want to include in the batch. It allows you to set the number of input slots dynamically, ranging from a minimum of 2 to a maximum of 1000 images. The default value is set to 2. Adjusting this parameter will update the node to accept the specified number of images, making it easier to manage large sets of images without manually adding each one.

image_1

The image_1 parameter is the first image to be included in the batch. This parameter accepts an image input and serves as the initial image in the batch creation process. The quality and dimensions of this image will influence the subsequent images added to the batch.

image_2

The image_2 parameter is the second image to be included in the batch. Similar to image_1, this parameter accepts an image input and is combined with the first image to start forming the batch. The node will continue to add more images based on the inputcount parameter.

Image Batch Multi Output Parameters:

images

The images output parameter provides the combined batch of images. This output is a single tensor that contains all the images specified by the input parameters. The batch can then be used for further processing, analysis, or manipulation in your AI art projects. The combined batch ensures that all images are organized in a single, manageable format.

Image Batch Multi Usage Tips:

• To efficiently create a large batch of images, set the inputcount parameter to the desired number of images before connecting your image inputs. This will automatically update the node to accept the specified number of images.
• Ensure that all images have similar dimensions and quality to avoid inconsistencies in the batch. If necessary, preprocess your images to match their sizes before combining them using this node.

Image Batch Multi Common Errors and Solutions:

"KeyError: 'image_X'"

• Explanation: This error occurs when the specified image input (e.g., image_3, image_4, etc.) is not provided, but the inputcount parameter is set to include it.
• Solution: Ensure that you provide all the required image inputs as specified by the inputcount parameter. If inputcount is set to 5, make sure you have image_1, image_2, image_3, image_4, and image_5 connected.

"ValueError: Input images must have the same dimensions"

• Explanation: This error occurs when the input images have different dimensions, which prevents them from being combined into a single batch.
• Solution: Preprocess your images to ensure they all have the same dimensions before using the ImageBatchMulti node. You can use image resizing tools or nodes to standardize the dimensions of your images.