ComfyUI Node: Image Tiled

Image Tiled:

The Image Tiled node is designed to divide an input image into a specified number of smaller, equally-sized tiles. This can be particularly useful for tasks that require processing or analyzing smaller sections of an image independently, such as texture analysis, pattern recognition, or creating a mosaic effect. By breaking down a larger image into manageable pieces, you can apply different processing techniques to each tile, enhancing the overall flexibility and creativity in your image manipulation projects.

Image Tiled Input Parameters:

image

This parameter accepts the input image that you want to tile. The image should be in a format that the node can process, typically a tensor representation of an image. The input image serves as the source from which the tiles will be generated.

num_tiles

This parameter specifies the number of tiles you want to divide the input image into. It accepts an integer value with a minimum of 2 and a maximum of 64, with a default value of 4. The number of tiles determines how many smaller sections the image will be split into, affecting the size of each tile and the overall granularity of the tiling process.

Image Tiled Output Parameters:

IMAGES

This output parameter provides the resulting tiles as a collection of images. Each tile is a smaller section of the original image, and the collection contains all the tiles generated based on the specified number of tiles. These tiles can be used for further processing or analysis in subsequent steps of your workflow.

Image Tiled Usage Tips:

• To create a mosaic effect, use a higher number of tiles and apply different filters or effects to each tile before recombining them.
• For texture analysis, choose a number of tiles that allows you to isolate and examine specific patterns or features within the image.
• When working with high-resolution images, tiling can help manage memory usage and processing time by breaking the image into smaller, more manageable pieces.

Image Tiled Common Errors and Solutions:

ValueError: num_tiles must be between 2 and 64

• Explanation: This error occurs when the num_tiles parameter is set to a value outside the allowed range.
• Solution: Ensure that the num_tiles parameter is set to an integer value between 2 and 64.

TypeError: image must be a tensor

• Explanation: This error occurs when the input image is not in the expected tensor format.
• Solution: Convert the input image to a tensor format before passing it to the node.

RuntimeError: Image dimensions are too small for the specified number of tiles

• Explanation: This error occurs when the dimensions of the input image are too small to be divided into the specified number of tiles.
• Solution: Use a larger image or reduce the number of tiles to ensure that each tile has a reasonable size.