ComfyUI  >  Nodes  >  ComfyUI Easy Use >  imageSplitList

ComfyUI Node: imageSplitList

Class Name

easy imageSplitList

Category
EasyUse/Image
Author
yolain (Account age: 1341 days)
Extension
ComfyUI Easy Use
Latest Updated
6/25/2024
Github Stars
0.5K

How to Install ComfyUI Easy Use

Install this extension via the ComfyUI Manager by searching for  ComfyUI Easy Use
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI Easy Use in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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imageSplitList Description

Split list of images based on criteria for segmented processing, saving time and ensuring consistency.

imageSplitList:

The easy imageSplitList node is designed to split a list of images into multiple sublists based on specific criteria. This node is particularly useful when you need to organize or process images in smaller groups, making it easier to handle large batches of images. The node intelligently divides the images into three sublists if the total number of images is divisible by three, or into two sublists if divisible by two. This functionality is beneficial for tasks that require segmented image processing, such as batch editing, analysis, or training machine learning models. By automating the splitting process, the easy imageSplitList node saves time and ensures consistency in how images are grouped.

imageSplitList Input Parameters:

images

This parameter accepts a list of images that you want to split. The images should be in a format recognized by the node, typically as tensors or arrays. The function of this parameter is to provide the node with the data it needs to perform the splitting operation. There are no specific minimum or maximum values for this parameter, but the list should contain at least one image for the node to function correctly.

imageSplitList Output Parameters:

images

The output consists of three sublists of images. The first sublist contains images that are positioned at indices divisible by three, the second sublist contains images at indices that leave a remainder of one when divided by three, and the third sublist contains images at indices that leave a remainder of two when divided by three. If the total number of images is divisible by two but not by three, the node will split the images into two sublists instead. This output is crucial for further processing or analysis, as it organizes the images into manageable groups.

imageSplitList Usage Tips:

  • To optimize the node's performance, ensure that the list of images you provide is well-organized and free of duplicates.
  • Use this node in conjunction with other image processing nodes to streamline workflows that require segmented image handling.

imageSplitList Common Errors and Solutions:

"Input list is empty"

  • Explanation: This error occurs when the input list of images is empty.
  • Solution: Ensure that the input list contains at least one image before running the node.

"Unsupported image format"

  • Explanation: This error occurs when the images in the input list are in an unsupported format.
  • Solution: Convert the images to a supported format, such as tensors or arrays, before providing them to the node.

imageSplitList Related Nodes

Go back to the extension to check out more related nodes.
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