ComfyUI Node: Batch Uncrop

Batch Uncrop:

The BatchUncrop node is designed to seamlessly restore cropped images back to their original dimensions. This node is particularly useful for AI artists who need to revert modifications made during the cropping process, ensuring that the integrity and context of the original image are maintained. By leveraging advanced techniques, BatchUncrop can handle various scenarios, including border blending and rescaling, to produce a smooth and natural uncropped image. This node is essential for workflows that involve iterative editing and refinement, allowing you to experiment with different crops and easily revert to the original state without losing any details.

Batch Uncrop Input Parameters:

original_images

This parameter takes the original set of images before any cropping was applied. It is crucial as it serves as the reference for restoring the cropped images to their original dimensions.

cropped_images

This parameter includes the images that have been cropped. These are the images that will be restored to their original dimensions using the BatchUncrop node.

bboxes

Bounding boxes that define the regions of the cropped images. These coordinates are used to accurately place the cropped images back into their original positions within the uncropped image.

border_blending

This parameter controls the blending of borders between the cropped and original images. It ensures a smooth transition and avoids harsh edges, making the uncropped image look natural.

crop_rescale

This parameter determines if the cropped images should be rescaled to match the dimensions of the original images. It ensures that the restored images maintain the correct proportions and fit seamlessly into the original context.

border_top

Specifies the number of pixels to blend at the top border of the cropped image. This helps in achieving a smooth transition between the cropped and original images.

border_bottom

Specifies the number of pixels to blend at the bottom border of the cropped image. This helps in achieving a smooth transition between the cropped and original images.

border_left

Specifies the number of pixels to blend at the left border of the cropped image. This helps in achieving a smooth transition between the cropped and original images.

border_right

Specifies the number of pixels to blend at the right border of the cropped image. This helps in achieving a smooth transition between the cropped and original images.

Batch Uncrop Output Parameters:

original_images

The original set of images before any cropping was applied. This output is useful for reference and comparison purposes.

cropped_out

A stack of the cropped images that have been processed. This output allows you to see the results of the uncropping process and verify that the images have been restored correctly.

bounding_boxes

The bounding boxes used during the uncropping process. These coordinates can be useful for further processing or analysis.

max_bbox_width

The maximum width of the bounding boxes used in the uncropping process. This value provides insight into the dimensions of the cropped regions.

max_bbox_height

The maximum height of the bounding boxes used in the uncropping process. This value provides insight into the dimensions of the cropped regions.

Batch Uncrop Usage Tips:

• Ensure that the original_images and cropped_images parameters are correctly aligned to avoid mismatches during the uncropping process.
• Use the border_blending parameter to achieve smooth transitions between the cropped and original images, especially when dealing with complex backgrounds.
• Adjust the crop_rescale parameter to maintain the correct proportions of the restored images, ensuring they fit seamlessly into the original context.
• Fine-tune the border_top, border_bottom, border_left, and border_right parameters to achieve the best visual results for your specific images.

Batch Uncrop Common Errors and Solutions:

"Mismatched image dimensions"

• Explanation: This error occurs when the dimensions of the original_images and cropped_images do not match.
• Solution: Ensure that the original_images and cropped_images parameters are correctly aligned and have matching dimensions.

"Invalid bounding box coordinates"

• Explanation: This error occurs when the bounding box coordinates are outside the dimensions of the original images.
• Solution: Verify that the bounding box coordinates are within the valid range for the original images and adjust them if necessary.

"Blending parameter out of range"

• Explanation: This error occurs when the blending parameters (border_top, border_bottom, border_left, border_right) are set to values outside the acceptable range.
• Solution: Ensure that the blending parameters are within the valid range and adjust them to appropriate values for smooth transitions.