Why the model stays the same person across every photo

The most common complaint about general AI image tools is that every image returns a different person. A shop that posts five products ends up with five models, which does not read as one shop — and buyers spot it as AI immediately.

We solve it with a photo, not a description

Our people library stores real image files. When you pick a person, the system sends that person's high-resolution master image as a reference alongside your product photo. It does not send a written description of hair and face. The same description yields a different face on every run; the same reference image yields the same face.

Choose once, use across the whole shop

Once you find the right person, note the number and pick the same one every time. The product changes, the scene changes, the pose changes — the face does not. The result reads like a shop with a regular model on retainer, without the retainer.

Each number belongs to its person permanently

The number under each photo in the library is bound to that image file for life. If we retire someone from the library, the remaining numbers do not shift up, because shifting them would make your older jobs point at a different person.