Upload a shot — the model clears noise and softness, brings sharpness back and lifts the resolution up to 100 megapixels. It does not stretch pixels, it restores detail: skin, hair, fabric, the letters on a sign. Below are examples, the price, and what the model expects on the way in.
How it works
Improving a photo is not the same as stretching it
Ordinary enlargement is honest about having no new detail: the algorithm averages neighbouring pixels and stretches them. The frame gets bigger, but no sharper — just mushier. That is what the "image size" slider in an editor does, and most "enlarge a photo" services online.
A neural network works differently. It knows what skin, hair, fabric, wood, brick and type look like, and paints texture back in where the original had only a few pixels left. After processing you can study the shot up close — and print it at a size that was never on the table with the original.
The flip side is honest too: the model does not invent what was never in the frame. A portrait will not appear out of a face ten pixels across — the model pulls detail out, it does not make it up.
















