Solving mask overflow problems requires a combination of measures:
- Precision Mask Creation: When using tools such as Photoshop, make sure the editing area is pure black (RGB 0,0,0) and the non-editing area is pure white and opaque!
- Buffer Setting: Preserve a 2-3 pixel transition zone at the edge of the target area
- cue word qualifier: Add an area-qualifying phrase such as "only modify the hat area".
- step by step verification: verify the effect on a small test chart first
Project test data show that with edge feathering (feather 3-5px) can reduce the rate of non-target area misalignment by 70%. For precise needs, a hybrid solution that first generates new elements and then PS composites is recommended.
This answer comes from the articleGPT-Image-Edit: tool for editing and generating images using text commandsThe
May not be reproduced without permission:AI productivity tools " Eliminate the problem of non-targeted areas being modified in mask editing
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