ComfyUI Node: FL Image Size

FL Image Size:

The FL_ImageDimensionDisplay node is designed to provide you with the dimensions of an image, making it easier to understand the size and resolution of your visual content. This node is particularly useful for AI artists who need to quickly ascertain the width and height of an image without delving into complex image processing tools. By simply inputting an image, the node will return a string detailing the image's dimensions, which can be beneficial for tasks such as resizing, cropping, or ensuring consistency across multiple images. The node supports both tensor-based images, commonly used in machine learning frameworks like PyTorch, and standard images from the PIL library, ensuring broad compatibility with various image formats.

FL Image Size Input Parameters:

image

The image parameter is the primary input for the FL_ImageDimensionDisplay node. It accepts an image in either tensor format (commonly used in machine learning frameworks like PyTorch) or as a standard image from the PIL library. The function of this parameter is to provide the node with the image whose dimensions need to be displayed. The impact of this parameter on the node's execution is direct, as the node will analyze the provided image to extract its width and height. There are no specific minimum, maximum, or default values for this parameter, but it must be a valid image format supported by either PyTorch or PIL.

FL Image Size Output Parameters:

STRING

The output parameter STRING provides a textual representation of the image's dimensions. This output is a string that details the width and height of the input image in the format "Width: <width>, Height: <height>". This information is crucial for understanding the size of the image, which can inform decisions related to image processing tasks such as resizing, cropping, or ensuring uniformity across a series of images. The output is designed to be easily readable and can be used directly in user interfaces or logs for quick reference.

FL Image Size Usage Tips:

• Ensure that the input image is in a supported format (either a PyTorch tensor or a PIL image) to avoid compatibility issues.
• Use this node to quickly verify the dimensions of images before performing further processing tasks like resizing or cropping.
• Combine this node with other image processing nodes to create a workflow that adjusts images based on their dimensions.

FL Image Size Common Errors and Solutions:

Unsupported tensor format

• Explanation: This error occurs when the input tensor does not have the expected number of dimensions (either 3 or 4).
• Solution: Ensure that the input tensor is either a 3-dimensional tensor (single image) or a 4-dimensional tensor (batch of images).

Unsupported image format

• Explanation: This error occurs when the input image is neither a PyTorch tensor nor a PIL image.
• Solution: Verify that the input image is in a format supported by either PyTorch or PIL. Convert the image to a supported format if necessary.