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Resize images to closest original training bucket size for video processing, maintaining aspect ratios and resolution consistency.
The HyVideoGetClosestBucketSize
node is designed to assist in resizing images to the closest original training bucket size, which is particularly useful in video processing tasks where maintaining aspect ratios and resolution consistency is crucial. This node calculates the most suitable dimensions for an image based on predefined bucket sizes, ensuring that the image is resized to a dimension that closely matches the original training data. This process helps in optimizing the image for further processing or analysis, maintaining the quality and integrity of the visual data. By leveraging this node, you can ensure that your images are resized efficiently, preserving the aspect ratio and minimizing distortion, which is essential for high-quality video outputs.
The image
parameter represents the input image that you want to resize. It is crucial for the node's operation as it determines the dimensions and aspect ratio that need to be adjusted. The image should be provided in a format that the node can process, typically as a multi-dimensional array representing the pixel data.
The base_size
parameter allows you to specify the target base size for resizing the image. It offers options such as "360", "540", and "720", with "540" being the default value. This parameter impacts the resizing process by determining the base dimensions to which the image will be adjusted. Selecting an appropriate base size ensures that the image is resized to a dimension that closely matches the original training bucket size, optimizing it for further processing.
The width
output parameter provides the calculated width of the resized image. This value is determined based on the closest bucket size that matches the original aspect ratio of the input image. It is essential for ensuring that the resized image maintains the desired dimensions and aspect ratio.
The height
output parameter provides the calculated height of the resized image. Similar to the width, this value is determined based on the closest bucket size that matches the original aspect ratio of the input image. It ensures that the resized image maintains the desired dimensions and aspect ratio, which is crucial for high-quality video processing.
base_size
that closely matches the original dimensions of your image to minimize distortion and maintain quality.<base_size>
not implementedbase_size
parameter is set to one of the supported values: "360", "540", or "720". If you need a different size, consider adjusting your workflow to accommodate the available options.max_ratio
parameter in the generate_crop_size_list
function is set to a value less than 1, which is not allowed.max_ratio
parameter is set to a value greater than or equal to 1 to avoid this error. Adjust the parameter in the function call if necessary.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.