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Determines image aspect ratio categories based on dimensions for AI artists, streamlining workflow efficiency.
The DanbooruTagsTransformerGetAspectRatio
node is designed to determine the aspect ratio of an image based on its width and height dimensions. This node is particularly useful for AI artists who need to categorize images into different aspect ratio categories such as ultra-wide, wide, tall, and ultra-tall. By automating the process of aspect ratio calculation, this node helps streamline workflows where image dimensions play a crucial role, such as in layout design, image processing, and content creation. The node's primary function is to take the width and height of an image and return a descriptive label that represents the aspect ratio category, making it easier for users to make informed decisions about image usage and presentation.
The width
parameter represents the horizontal dimension of the image in pixels. It is a crucial input for calculating the aspect ratio, as it defines one side of the image's dimensions. The width can range from a minimum of 16 pixels to a maximum of 16384 pixels, with a default value of 1024 pixels. This flexibility allows users to work with a wide variety of image sizes, from small thumbnails to large, high-resolution images. Adjusting the width will directly impact the calculated aspect ratio, influencing the categorization of the image.
The height
parameter represents the vertical dimension of the image in pixels. Similar to the width, it is essential for determining the aspect ratio, as it defines the other side of the image's dimensions. The height can also range from a minimum of 16 pixels to a maximum of 16384 pixels, with a default value of 1024 pixels. By modifying the height, users can affect the aspect ratio calculation, which in turn determines the aspect ratio category assigned to the image. This parameter is vital for ensuring that the aspect ratio reflects the true proportions of the image.
The ASPECT_RATIOS
output parameter provides a descriptive label that categorizes the image's aspect ratio. This label can be one of several predefined categories, such as ultra-wide, wide, tall, or ultra-tall, depending on the calculated ratio of width to height. The output is significant because it allows users to quickly understand the proportions of an image without manually calculating the ratio themselves. This categorization can be particularly useful in scenarios where specific aspect ratios are required, such as in design templates or media presentations.
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