Pixelmator Pro tutorial: AI cutouts, repair and upscaling

Sammy demonstrates Pixelmator Pro's built-in image editing tools, starting with the difference between removing a background, hiding it behind an editable mask and selecting the subject. She recommends quick background removal for clean images. For complex backgrounds, she uses Select Subject, refines the selection with add and subtract controls, adjusts edge softness, then copies the subject onto its own layer with Command J.

The Repair Tool examples cover blemishes, unwanted objects and missing sections of clothing after a cutout. Sammy paints over individual areas or uses Repair Selection to process a selection together. She describes the reconstructed pixels as coming from surrounding patterns; this is a reconstruction, rather than evidence that the original detail has been recovered.

ML Enhance adjusts exposure, contrast, color and white balance. Sammy treats its output as a starting point and warns that some photos need the adjustments dialed back. She also demonstrates ML Super Resolution for enlarging low-resolution images and recommends choosing the Super Resolution algorithm in the Transform tool before resizing.

The final example uses mockup templates to replace placeholder artwork, reposition it on a product and change the product's color through a fill layer. Sammy identifies the Wrap Tool as a feature for the subscription version of Pixelmator Pro.