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Extracts image dimensions (width, height, channels) for AI artists to optimize creative workflows.
The GetImageSize+ node is designed to provide essential information about an image's dimensions, specifically its width, height, and the number of channels. This node is particularly useful for AI artists who need to understand the size and structure of their images for further processing or analysis. By extracting these key attributes, the GetImageSize+ node helps you make informed decisions about how to manipulate or utilize the image in your creative workflows. Whether you are resizing, cropping, or applying filters, knowing the image size is a fundamental step that ensures your operations are accurate and effective.
The image
parameter expects an image input that you want to analyze. This parameter is crucial as it serves as the source from which the node will extract the width, height, and channel count. The image should be in a format that the node can process, typically a tensor or array representing the image data. There are no specific minimum, maximum, or default values for this parameter, but it must be a valid image for the node to function correctly.
The width
output parameter provides the width of the input image in pixels. This value is essential for understanding the horizontal dimension of your image, which can be critical for tasks such as resizing or aligning images.
The height
output parameter gives the height of the input image in pixels. Knowing the vertical dimension of your image is important for similar reasons as the width, ensuring that any transformations or analyses you perform are based on accurate size information.
The count
output parameter indicates the number of channels in the image. This could be 1 for grayscale images, 3 for RGB images, or 4 for images with an alpha channel. Understanding the channel count is vital for tasks that involve color manipulation or compositing.
None
, meaning no image data was provided.© Copyright 2024 RunComfy. All Rights Reserved.