AI image enlarger

Instead of stretching the pixels you already have, the model generates the detail that a larger version of the image would contain. It reads edges, textures, and patterns in the original and rebuilds them at the new size, so a face, a fabric, or a leaf comes back sharp rather than smeared. The result is a genuinely larger image, not the same one blown up.

You can push a small image up several times its original dimensions. The more you enlarge, the more the model is inventing rather than recovering, so a modest jump stays truest to the source while a large jump is best for images that were only ever small. If one pass looks soft in places, a rerun or a different model usually tightens it.

The goal is a bigger version of the same shot, not a reinterpretation. Colour, composition, and the subject stay as they were; what changes is that fine detail now holds up at the larger size. On heavily compressed or very tiny sources the model has to guess more, so check faces and text after enlarging.

Photos, product shots, artwork, and screenshots all enlarge well. Clean sources with real detail give the model the most to work with, while images that are already blurry or full of compression blocks are harder and may need a rerun. Text and logos can wobble at extreme enlargements, so keep those jumps smaller.

Reruns are part of the workflow and cost nothing but a moment. If the first enlargement is soft in one area, run it again or switch to another model and compare. You only keep the version you like, so there is no penalty for trying a few sizes.

Yes. The enlarger runs on Morphic in the browser with nothing to install. Upload an image, set how much larger you want it, generate, and export the enlarged version from the same canvas.