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Extract essential parameters from base image pipeline for AI artists to access and manipulate image attributes efficiently.
The Base Image Parameters Extract JK node is designed to extract essential parameters from a base image pipeline, making it easier for you to access and manipulate these parameters for further processing. This node is particularly useful for AI artists who need to work with various image attributes such as dimensions, batch size, and image resizing options. By utilizing this node, you can streamline your workflow and ensure that all necessary image parameters are readily available for subsequent operations, enhancing both efficiency and accuracy in your creative projects.
The base_image_pipe
parameter is a required input that represents the pipeline from which the base image parameters will be extracted. This pipeline typically contains all the necessary information about the image, including its dimensions, batch size, and other relevant attributes. By providing this pipeline, the node can accurately extract and return the specified parameters for further use. This parameter does not have minimum, maximum, or default values as it is a pipeline object.
The Image
output parameter provides the actual image data extracted from the base image pipeline. This is the primary image that you will work with in subsequent nodes or processes.
The Width
output parameter indicates the width of the image in pixels. This value is crucial for understanding the image's dimensions and for any resizing or cropping operations you may need to perform.
The Height
output parameter specifies the height of the image in pixels. Similar to the width, this value is essential for dimension-related operations.
The Batch_Size
output parameter reveals the number of images processed in a single batch. This is particularly useful for operations that involve multiple images at once, such as batch processing or training machine learning models.
The Image_Resize
output parameter provides information on whether the image has been resized. This can be a string or a boolean value indicating the resize status, which is useful for understanding any modifications made to the original image.
The img2img
output parameter indicates whether the image is intended for image-to-image translation tasks. This boolean value helps you determine if the image is part of a process that involves transforming one image into another, which is common in various AI art applications.
base_image_pipe
parameter is correctly set up with all necessary image attributes before using this node to avoid any extraction errors.Width
and Height
parameters to dynamically adjust other nodes in your workflow that depend on image dimensions, ensuring consistency across your project.base_image_pipe
parameter is not correctly provided or is missing essential information.base_image_pipe
parameter is correctly set up and contains all necessary image attributes before passing it to the node.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.