ComfyUI Node: ✂️ Inpaint Stitch

✂️ Inpaint Stitch:

The InpaintStitch node is designed to seamlessly integrate inpainted regions into an original image without altering the unmasked areas. This node is particularly useful for AI artists who need to repair or modify specific parts of an image while preserving the integrity of the surrounding regions. By leveraging advanced rescaling algorithms, the node ensures that the inpainted sections blend naturally with the original image, maintaining a cohesive and visually appealing result. The primary goal of this node is to provide a robust and efficient method for stitching inpainted images, making it an essential tool for high-quality image editing and restoration tasks.

✂️ Inpaint Stitch Input Parameters:

stitch

This parameter contains the stitching information required to integrate the inpainted image back into the original image. It includes details such as the original image, the coordinates for stitching, and any necessary rescaling factors. The stitch parameter ensures that the inpainted image is accurately positioned and blended with the original image, maintaining the visual consistency of the final output.

inpainted_image

This parameter represents the image that has been inpainted and is ready to be stitched back into the original image. The inpainted_image should match the dimensions and format expected by the node to ensure a smooth integration process. The quality and accuracy of the inpainted_image directly impact the final stitched result.

rescale_algorithm

This parameter specifies the algorithm used for rescaling the inpainted image and masks during the stitching process. The available options are "nearest", "bilinear", "bicubic", and "bislerp", with "bislerp" being the default. The choice of rescale_algorithm affects the smoothness and quality of the rescaled image, with different algorithms offering varying levels of detail preservation and computational efficiency.

✂️ Inpaint Stitch Output Parameters:

image

This output parameter represents the final stitched image, where the inpainted regions have been seamlessly integrated into the original image. The output image maintains the original dimensions and format, with the inpainted sections blended naturally to ensure a cohesive and visually appealing result. This output is essential for AI artists looking to achieve high-quality image edits and restorations.

✂️ Inpaint Stitch Usage Tips:

• Ensure that the inpainted_image matches the expected dimensions and format to avoid any stitching errors.
• Experiment with different rescale_algorithm options to find the best balance between detail preservation and computational efficiency for your specific task.
• Use high-quality inpainting techniques to ensure that the inpainted regions blend naturally with the original image.

✂️ Inpaint Stitch Common Errors and Solutions:

Stitch size doesn't match image batch size

• Explanation: This error occurs when the number of images in the batch does not match the number of stitching coordinates provided.
• Solution: Ensure that the batch size of the inpainted_image matches the length of the stitching coordinates in the stitch parameter.

Rescale factors out of acceptable range

• Explanation: This error occurs when the rescale factors for the x or y dimensions are significantly different from 1, indicating a potential issue with the rescaling process.
• Solution: Verify the rescale factors in the stitch parameter and ensure they are within a reasonable range close to 1. Adjust the rescale_algorithm if necessary to achieve the desired scaling.

Mismatched dimensions during stitching

• Explanation: This error occurs when the dimensions of the inpainted_image do not match the expected dimensions based on the stitch parameter.
• Solution: Check the dimensions of the inpainted_image and ensure they align with the coordinates and rescale factors specified in the stitch parameter. Adjust the image or parameters as needed to resolve the mismatch.