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Apply regional adjustments to images using the IPAdapter model for precise and targeted enhancements.
The easy ipadapterApplyRegional
node is designed to apply regional adjustments to images using the IPAdapter model. This node allows you to fine-tune specific regions of an image by leveraging the capabilities of the IPAdapter, which is particularly useful for tasks that require localized image modifications. By providing a pipeline and an image, along with a positive string for guidance, this node enables you to achieve precise and targeted image enhancements. The primary goal of this node is to offer a straightforward and efficient way to apply regional adjustments, making it an essential tool for AI artists looking to refine specific areas of their artwork.
This parameter expects a pipeline object (PIPE_LINE
) that defines the sequence of operations to be applied to the image. The pipeline is crucial as it dictates the flow and processing steps, ensuring that the image undergoes the desired transformations.
This parameter accepts an image object (IMAGE
) that serves as the input for the regional adjustments. The image is the primary subject on which the IPAdapter model will apply the specified modifications.
This parameter is a string (STRING
) that provides positive guidance for the regional adjustments. It helps in defining the desired outcome or the specific features to be enhanced in the image. The default value is an empty string, indicating no specific guidance.
This output parameter returns the modified model (MODEL
) after applying the regional adjustments. The model reflects the changes made to the image based on the provided pipeline and positive guidance.
This output parameter returns the IPAdapter object (IPADAPTER
) used during the process. The IPAdapter contains the configurations and adjustments applied to the image, making it a valuable reference for further modifications or analysis.
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