Magic Erase is a smart repair class feature that automatically fills the removed area through an AI algorithm. The following practical tips are required to optimize the results:
- Object Selection:It is most suitable for processing small and medium-sized debris (the diameter is not more than 1/5 of the picture), such as passers-by in scenic photos and defective labels in product pictures. Large area removal is recommended to operate in several times
- Manner of operation:The web version recommends using a pressure-sensitive pen, and the mobile version recommends two-finger zooming to refine the application. When encountering complex edges (such as hair strands), you can zoom in on the image before operation
- Environment Match:The system will analyze the surrounding pixels to complement automatically, so the simpler the background texture (e.g. solid color wall, sky) the better the result. For backgrounds with complex patterns, you can do local blurring first.
Caution is required in use:
- Too much area per erase reduces naturalness, can save different versions in stages
- Motion blurred objects may require manual edge repair after removal
- Pro version provides "History Brush" function for partial recovery of mistakenly deleted content.
Tests have shown that simple operations such as clearing price tags in product images can be completed in an average of 1 minute by the average user, with results comparable to those of professional retouchers.
This answer comes from the articlePixelcut: a one-click AI tool for editing photosThe
May not be reproduced without permission:AI productivity tools " What are some tips and considerations for using Pixelcut's Magic Erase feature in practice?
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