ComfyUI Node: Select Every Nth Image 🎥🅥🅗🅢

Select Every Nth Image 🎥🅥🅗🅢:

The VHS_SelectEveryNthImage node is designed to help you efficiently manage and process large batches of images by selecting every nth image from a given set. This can be particularly useful when working with video frames or any sequence of images where you need to reduce the number of images for further processing or analysis. By allowing you to skip a specified number of initial images and then select every nth image, this node provides a flexible and powerful way to downsample your image data, making it easier to handle and analyze. This can be especially beneficial in scenarios where you are dealing with high-resolution images or long video sequences, as it helps to reduce computational load and focus on the most relevant frames.

Select Every Nth Image 🎥🅥🅗🅢 Input Parameters:

images

This parameter expects a tensor of images that you want to process. The images should be in a format compatible with the node's operations, typically as a batch of images in a tensor format.

select_every_nth

This integer parameter determines the interval at which images are selected from the batch. For example, if set to 2, every second image will be selected. The default value is 1, meaning every image is selected. The minimum value is 1, and there is no specified maximum value, but it should be within the range of the total number of images.

skip_first_images

This integer parameter specifies the number of initial images to skip before starting the selection process. For example, if set to 3, the first three images in the batch will be skipped, and the selection will start from the fourth image. The default value is 0, meaning no images are skipped. The minimum value is 0, and there is no specified maximum value, but it should be within the range of the total number of images.

Select Every Nth Image 🎥🅥🅗🅢 Output Parameters:

IMAGE

This output is a tensor containing the selected images based on the select_every_nth and skip_first_images parameters. It provides a downsampled batch of images that can be used for further processing or analysis.

count

This integer output represents the number of images that were selected and returned in the IMAGE output. It gives you a quick reference to the size of the resulting image batch.

Select Every Nth Image 🎥🅥🅗🅢 Usage Tips:

• To reduce the computational load when processing long video sequences, set the select_every_nth parameter to a higher value to select fewer frames.
• Use the skip_first_images parameter to bypass irrelevant initial frames, such as introductory or transitional frames in a video.
• Combine this node with other image processing nodes to create a streamlined workflow for handling large batches of images efficiently.

Select Every Nth Image 🎥🅥🅗🅢 Common Errors and Solutions:

"IndexError: index out of range"

• Explanation: This error occurs when the skip_first_images or select_every_nth parameters are set to values that exceed the number of available images in the batch.
• Solution: Ensure that the values for skip_first_images and select_every_nth are within the range of the total number of images in the batch. Adjust these parameters accordingly to avoid exceeding the batch size.

"TypeError: expected Tensor as input"

• Explanation: This error occurs when the input provided to the images parameter is not in the expected tensor format.
• Solution: Verify that the input to the images parameter is a tensor of images. Convert your image data to the appropriate tensor format before passing it to the node.