You've seen it. Perfect skin, dramatic lighting, a background that melts if you look too long. AI images have a look, and once you notice it, you can't unsee it.
The good news is that most of that look comes from lazy prompts, not from the tools themselves.
Why it happens
Image models lean toward the most "appealing" average of everything they've seen. That means glossy, centered, over-lit and symmetrical. Real photos are messier. They have flat light, odd crops and things in the way.
Five fixes that actually help
Describe a camera, not a vibe
Words like "stunning" and "ultra detailed" push you toward the plastic look. Try a real setup instead: "35mm photo, natural window light, slightly underexposed".
Ask for imperfection
Add things like "visible skin texture", "wrinkled clothing" or "messy desk". Small flaws are what make a picture believable.
Be boring on purpose
A person sitting at a kitchen table looks more real than a person standing on a mountain at golden hour. Everyday scenes win.
Lower the drama
Skip "cinematic", "epic" and "hyper realistic". They're shortcuts to the exact look you're trying to avoid.
Fix it after
A quick edit helps a lot: crop it differently, tone down the contrast, add a touch of grain. Treat the output as a rough photo, not a finished one.
Hands, text and logos
These are improving but still unreliable. If a detail matters, generate a few versions, pick the best, and fix the rest by hand. Never trust AI-rendered text without reading it letter by letter.
One honest note
If you're publishing AI images, say so where it matters, especially for anything that looks like a real event or a real person. Trust is harder to rebuild than an image is to generate.