Beyond One-Off Generation: Reveal-Layer Brings Photoshop-Grade Editability to AI Images
Turning a flat image into editable material
AI image generation is fast, but its output is usually a single flattened image. Even a small revision may require regenerating the whole result. Reveal-Layer changes that workflow by separating an image into a background layer and multiple independent foreground RGBA layers.
The user simply draws boxes around the objects that should become editable. The model then performs semantic decomposition, foreground extraction, alpha matting, background restoration, and completion of content hidden by occlusion.
More than object cutout
A useful layer must include clean boundaries and the content needed when elements are moved or removed. Reveal-Layer combines region-aware attention with occlusion-guided reasoning so that each layer focuses on the selected object while the background is reconstructed coherently.
This makes the result useful for campaign design, e-commerce imagery, video assets, and other creative work where foregrounds, text regions, or backgrounds need to be changed independently.
A three-step workflow
Upload an image, adjust the automatically suggested boxes, and run decomposition. The resulting layers can be previewed and downloaded for further editing and compositing.