Visit ComfyUI Online for ready-to-use ComfyUI environment
Enhances image inpainting precision using advanced segmentation for natural results.
The Inpaint Segments node is designed to facilitate the process of inpainting, which involves filling in missing or damaged parts of an image. This node leverages advanced segmentation techniques to identify specific regions within an image that need to be inpainted. By focusing on these segments, the node ensures that the inpainting process is precise and seamless, resulting in a more natural and coherent final image. This is particularly useful for AI artists who want to restore or modify images without leaving noticeable artifacts. The node's primary goal is to enhance the quality and realism of inpainted images by accurately targeting and processing the necessary segments.
This parameter represents the decoded image from the Variational Autoencoder (VAE). It serves as the base image onto which the inpainting will be applied. The quality and resolution of this image can significantly impact the final output.
The original image is the unaltered version of the image that you want to inpaint. This image is used as a reference to ensure that the inpainted segments blend seamlessly with the rest of the image.
This parameter is the image that contains the segments to be inpainted. It is essentially a cropped version of the original image, focusing on the areas that need inpainting.
The cut mask is a binary mask that indicates the regions within the cut image that need to be inpainted. Areas marked with 1 will be inpainted, while areas marked with 0 will remain unchanged.
This parameter specifies the region within the original image where the inpainted segments will be pasted. It ensures that the inpainted segments are correctly aligned with the rest of the image.
The color transfer factor determines the extent to which color correction is applied to the inpainted segments. A higher value results in more significant color adjustments to match the original image.
This parameter defines the operation to be performed during the combination of images and masks. It can include operations like addition, subtraction, or blending, affecting how the inpainted segments are merged with the original image.
This boolean parameter indicates whether the resulting pixel values should be clamped to a specific range. Clamping ensures that the pixel values remain within a valid range, preventing artifacts.
This boolean parameter specifies whether the resulting pixel values should be rounded. Rounding can help in reducing noise and achieving a smoother final image.
The resize behavior parameter determines how the inpainted segments are resized to fit the target region. Options include "keep_ratio_fill" and "source_size_unmasked," affecting the aspect ratio and scaling of the segments.
This optional parameter allows for additional mask mapping, providing more control over how the inpainted segments are applied to the original image. It can be used to fine-tune the inpainting process.
The final output is the inpainted image, where the specified segments have been seamlessly integrated into the original image. This output is the result of the entire inpainting process, combining the decoded VAE image, the original image, and the cut image with the applied mask and color corrections.
© Copyright 2024 RunComfy. All Rights Reserved.