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Facilitates image inpainting with mask selection and original image inclusion for coherence and quality in NovelAI framework.
The InpaintingOptionNAID node is designed to facilitate the inpainting process within the NovelAI framework. Inpainting is a technique used to fill in missing or corrupted parts of an image, and this node allows you to specify the image and mask to be used for this purpose. Additionally, it provides an option to include the original image in the inpainting process, which can help maintain the overall coherence and quality of the final output. This node is particularly useful for AI artists looking to restore or enhance images by seamlessly blending new content into existing visuals.
The image
parameter is the primary image that you want to inpaint. This is the base image where the inpainting process will be applied. The quality and resolution of this image will directly impact the final result of the inpainting.
The mask
parameter is an image that defines the areas of the primary image that need to be inpainted. Typically, the mask is a binary image where the regions to be inpainted are marked in white, and the regions to be left unchanged are marked in black. This mask guides the inpainting algorithm on where to apply the changes.
The add_original_image
parameter is a boolean option that determines whether the original image should be included in the inpainting process. The default value is True
. When set to True
, the original image is considered during inpainting, which can help in maintaining the consistency and quality of the final output. If set to False
, the inpainting process will not take the original image into account, which might be useful in certain creative scenarios.
The NAID_OPTION
output parameter is a dictionary that contains the inpainting options set by the node. This dictionary includes the infill
key, which holds a tuple of the image, mask, and the add_original_image
boolean. This output is used by other nodes in the NovelAI pipeline to apply the specified inpainting options to the image.
add_original_image
option to maintain the coherence of the final image, especially when working with complex or detailed images.image
parameter is not provided.image
parameter.mask
parameter is not provided.mask
parameter.© Copyright 2024 RunComfy. All Rights Reserved.