ComfyUI Node: 📱 CR Thumbnail Preview

📱 CR Thumbnail Preview:

The CR Thumbnail Preview node is designed to generate thumbnail previews of images, making it easier for you to visualize and manage multiple images at a glance. This node resizes and outlines images, then arranges them into a grid format, which can be particularly useful for creating image galleries or preview panels. By providing a quick and efficient way to create thumbnails, this node helps streamline your workflow, allowing you to focus on the creative aspects of your projects. The node also supports sending the generated thumbnails to a server for real-time preview, enhancing its utility in collaborative environments.

📱 CR Thumbnail Preview Input Parameters:

image

This parameter accepts a list of images that you want to generate thumbnails for. Each image in the list is processed individually to create a thumbnail. The images should be in tensor format, which is a common format used in AI and machine learning applications.

rescale_factor

The rescale_factor parameter determines the scaling factor applied to the images when creating thumbnails. This factor adjusts the size of the thumbnails relative to the original images. A higher rescale factor will produce larger thumbnails, while a lower factor will produce smaller ones. The value should be a positive number, with typical values ranging from 0.1 to 1.0.

max_columns

This parameter specifies the maximum number of columns in the grid layout for the thumbnails. It controls how the thumbnails are arranged horizontally. For example, a max_columns value of 3 will arrange the thumbnails in rows of up to three images each. The value should be a positive integer, with common values ranging from 1 to 10.

📱 CR Thumbnail Preview Output Parameters:

ui

The ui parameter contains a dictionary with the generated thumbnails, formatted for display in a user interface. This includes metadata such as the source and content type of the images, making it easy to integrate the thumbnails into various UI components.

result

The result parameter provides a link to the help documentation for the node, offering additional guidance and examples for using the node effectively. This is particularly useful for new users who may need more detailed instructions or troubleshooting tips.

📱 CR Thumbnail Preview Usage Tips:

• To create a uniform grid of thumbnails, ensure that all input images have similar dimensions before processing.
• Experiment with different rescale_factor values to find the optimal thumbnail size for your specific use case.
• Use the max_columns parameter to control the layout of the thumbnails, making it easier to fit the grid into your desired display area.

📱 CR Thumbnail Preview Common Errors and Solutions:

"Invalid image format"

• Explanation: This error occurs when the input images are not in the expected tensor format.
• Solution: Ensure that all input images are converted to tensor format before passing them to the node.

"Rescale factor out of range"

• Explanation: This error happens when the rescale_factor value is not a positive number.
• Solution: Check the rescale_factor parameter and make sure it is set to a positive number, typically between 0.1 and 1.0.

"Max columns must be a positive integer"

• Explanation: This error is triggered when the max_columns parameter is not a positive integer.
• Solution: Verify that the max_columns parameter is set to a positive integer, such as 1, 2, 3, etc.