EXAMPLES · WATTPIX AI
How the image and mask affect quality
Examples describe typical conditions rather than guarantee an identical outcome for every file.
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01
Flat backgrounds
Small text on sky, walls or smooth surfaces is generally easier because nearby colors and gradients are consistent.
- Simple structure
- Small selected area
- Precise mask boundary
02
Texture and objects
Fabric, foliage, hair and fine details require the model to continue a complex pattern. A smaller brush and careful retries help.
- Inspect object edges
- Avoid selecting extra areas
- Compare at 100%
03
Repeated marks
Automatic detection can miss some repeated elements. Check the frame edges and add missing regions manually.
- Inspect the full frame
- Include translucent edges
- Handle related regions
04
Honest limitations
An opaque mark hides the original pixels. WattPix creates a likely continuation and cannot know the real hidden content.
- Reconstruction, not extraction
- Results can vary
- The original is always more accurate