The face is locked, but the setting is doing half the storytelling and most people leave it to chance. Here is how to prompt backgrounds and locations that feel real, stay varied, and never pull focus from your character.
A portrait can be ninety-five percent perfect and still read as fake because of the eyes. Here is how to prompt the four details that give AI faces away, and how to fix them when the render still misses.
The difference between an AI portrait that looks generated and one that looks photographed is usually the camera language in the prompt. Focal length, aperture, and framing are the words that turn a render into a photo. Here is the vocabulary that works.
The neutral model stare is what makes an AI persona feel dead. Here is how to prompt real smiles, laughs, and micro-expressions while the identity stays locked, so your feed reads as a person instead of a mannequin.
Lighting drift breaks an image pack faster than face drift. Six lighting locks and the physics-first vocabulary that keeps them stable.
Eight reusable prompt skeletons cover ninety percent of AI influencer posts. Golden hour, mirror, food, gym, travel, work, night, candid.
Stop typing photorealistic. The Subject-Surface-Light-Lens-Finish pattern produces consistent product photos across angles and catalogs. 25 examples.
Stop rewriting pose prompts. Thirty pose references saved as JSON, drop in, the locked character executes. The full library plus the curation logic.