ComfyUI Node: LayerUtility: GetImageSize

LayerUtility: GetImageSize:

The LayerUtility: GetImageSize node is designed to extract the dimensions of an image, providing you with the width and height in pixels. This node is particularly useful when you need to know the exact size of an image for further processing or analysis. By converting the image tensor to a PIL image, it ensures accurate measurement of the image dimensions. This node is essential for tasks that require precise image size information, such as resizing, cropping, or aligning images within a composition. Its straightforward functionality makes it a valuable tool for AI artists who need to manage and manipulate image layers effectively.

LayerUtility: GetImageSize Input Parameters:

image

The image parameter is the only required input for this node. It expects an image tensor, which is a multi-dimensional array representing the image data. The function processes this tensor to extract the image's width and height. The image tensor should be in a format compatible with PyTorch, and it is typically obtained from previous nodes or image processing steps. There are no specific minimum or maximum values for this parameter, but it must be a valid image tensor for the node to function correctly.

LayerUtility: GetImageSize Output Parameters:

width

The width output parameter provides the width of the image in pixels. This value is crucial for understanding the horizontal dimension of the image and is often used in further image processing tasks such as resizing or cropping.

height

The height output parameter gives the height of the image in pixels. This value is essential for understanding the vertical dimension of the image and is used in various image manipulation tasks.

original_size

The original_size output parameter is a tuple containing both the width and height of the image. This combined output is useful when you need to pass the image dimensions as a single entity to other nodes or functions that require both dimensions simultaneously.

LayerUtility: GetImageSize Usage Tips:

• Ensure that the input image tensor is correctly formatted and compatible with PyTorch to avoid errors during processing.
• Use the original_size output when you need to pass both dimensions together to streamline your workflow.
• Combine this node with resizing or cropping nodes to dynamically adjust image sizes based on their original dimensions.

LayerUtility: GetImageSize Common Errors and Solutions:

Invalid image tensor

• Explanation: The input image tensor is not in a valid format or is incompatible with PyTorch.
• Solution: Verify that the image tensor is correctly formatted and compatible with PyTorch. Ensure it is a multi-dimensional array representing the image data.

Image tensor is empty

• Explanation: The input image tensor is empty or does not contain any data.
• Solution: Check the source of the image tensor to ensure it contains valid image data before passing it to the node.