Visit ComfyUI Online for ready-to-use ComfyUI environment
Resize images by finding closest resolution bucket, maintaining aspect ratio for efficient processing within `FramePackWrapper`.
The FramePackFindNearestBucket node is designed to assist in resizing images by finding the closest resolution bucket that matches the original image's dimensions. This node is particularly useful in scenarios where images need to be resized to fit specific resolution constraints while maintaining the aspect ratio as closely as possible. By leveraging a predefined set of resolution buckets, the node ensures that the resized image is optimized for encoding or further processing tasks. The primary goal of this node is to streamline the image resizing process, making it efficient and effective for users who need to work with images of varying sizes. This node is part of the FramePackWrapper category, indicating its role in handling image frames within a larger processing framework.
The image parameter represents the image that you want to resize. It is crucial for the node's operation as it provides the dimensions that need to be adjusted to fit into the nearest resolution bucket. This parameter is expected to be in the form of an image object, and it serves as the primary input for the resizing process. The node uses the dimensions of this image to calculate the closest matching resolution bucket.
The base_resolution parameter defines the width of the image to encode, serving as a reference point for resizing. It allows you to specify a target resolution, which the node uses to scale the nearest bucket dimensions accordingly. The default value is 640, with a minimum of 64 and a maximum of 2048, adjustable in steps of 16. This parameter is essential for customizing the output resolution to meet specific requirements, ensuring that the resized image aligns with your desired output size.
The width output parameter represents the width of the resized image after it has been adjusted to fit the nearest resolution bucket. This value is crucial for understanding the new dimensions of the image, ensuring that it meets the specified resolution requirements while maintaining the aspect ratio as closely as possible.
The height output parameter indicates the height of the resized image, similar to the width parameter. It provides the new height dimension after the image has been resized to fit the nearest resolution bucket. This output is essential for confirming that the image has been resized correctly and is ready for further processing or encoding.
base_resolution parameter is set to a value that closely matches your desired output resolution. This will help the node find the most suitable resolution bucket for your image.FramePackFindNearestBucket node to standardize the dimensions, making it easier to process multiple images consistently.base_resolution parameter is set to a value outside the allowed range (64 to 2048).base_resolution parameter to fall within the specified range, ensuring it is a multiple of 16 for optimal performance.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.