ComfyUI Node: GetImageInfo PM

GetImageInfo PM:

The PM_GetImageInfo node is designed to extract and provide essential information about an image, specifically its width and height. This node is particularly useful when you need to understand the dimensions of an image for further processing or analysis. By obtaining the width and height, you can make informed decisions about resizing, cropping, or other image manipulations. This node simplifies the process of retrieving image dimensions, making it a valuable tool for AI artists who need to work with images of various sizes and need to ensure consistency in their projects.

GetImageInfo PM Input Parameters:

image

The image parameter is the input image from which the node will extract the width and height. This parameter expects an image tensor, which is a multi-dimensional array representing the image data. The image tensor should be in a format that the node can process, typically a 3D array where the dimensions correspond to the color channels, height, and width of the image. Providing a valid image tensor is crucial for the node to function correctly and return accurate dimensions.

GetImageInfo PM Output Parameters:

width

The width output parameter represents the width of the input image in pixels. This value is extracted directly from the image tensor and indicates how many pixels wide the image is. Knowing the width is essential for various image processing tasks, such as resizing or aligning images.

height

The height output parameter represents the height of the input image in pixels. Similar to the width, this value is extracted from the image tensor and indicates how many pixels tall the image is. The height information is crucial for tasks that involve image scaling, cropping, or layout adjustments.

GetImageInfo PM Usage Tips:

• Use the PM_GetImageInfo node to quickly determine the dimensions of an image before performing any resizing or cropping operations. This ensures that you maintain the aspect ratio and avoid distortions.
• Combine this node with other image processing nodes to create a workflow that adapts to images of different sizes, ensuring consistent results across various inputs.

GetImageInfo PM Common Errors and Solutions:

Invalid image tensor

• Explanation: The input provided is not a valid image tensor, which the node cannot process.
• Solution: Ensure that the input image is a properly formatted tensor, typically a 3D array with dimensions corresponding to color channels, height, and width.

Image tensor shape mismatch

• Explanation: The shape of the input image tensor does not match the expected format, leading to errors in extracting width and height.
• Solution: Verify that the image tensor has the correct dimensions and format. The tensor should have three dimensions, with the second and third dimensions representing the height and width, respectively.