ComfyUI Node: Get Image Count 🎥🅥🅗🅢

Get Image Count 🎥🅥🅗🅢:

The VHS_GetImageCount node is designed to provide you with the total number of images in a given batch. This node is particularly useful when working with large sets of images, as it allows you to quickly and efficiently determine the size of your image dataset. By using this node, you can streamline your workflow, ensuring that you have accurate information about the number of images you are working with, which can be crucial for tasks such as batch processing, image analysis, and more. The node operates by analyzing the input tensor of images and returning the count, making it an essential tool for managing and organizing your image data.

Get Image Count 🎥🅥🅗🅢 Input Parameters:

images

This parameter represents the batch of images that you want to count. The input should be a tensor containing the images. The node will analyze this tensor to determine the total number of images. There are no specific minimum, maximum, or default values for this parameter, as it simply takes the tensor of images you provide.

Get Image Count 🎥🅥🅗🅢 Output Parameters:

count

This output parameter provides the total number of images in the input tensor. The count is returned as an integer, representing the number of images. This information is crucial for understanding the size of your dataset and for further processing steps that may depend on the number of images.

Get Image Count 🎥🅥🅗🅢 Usage Tips:

• Ensure that the input tensor of images is correctly formatted and contains the images you want to count.
• Use this node to verify the size of your image dataset before performing batch processing or other operations that depend on the number of images.
• Combine this node with other nodes in the Video Helper Suite to create efficient workflows for managing and processing large sets of images.

Get Image Count 🎥🅥🅗🅢 Common Errors and Solutions:

Input tensor is empty

• Explanation: The input tensor provided to the node does not contain any images.
• Solution: Verify that the input tensor is correctly populated with images before passing it to the node.

Invalid input type

• Explanation: The input provided is not a tensor of images.
• Solution: Ensure that the input is a tensor containing images. Check the format and type of the input data to confirm it is compatible with the node's requirements.