Getting a believable human face out of any text-to-image system is less about magic words and more about ordering. Most people type a vague idea, get a plastic-looking result, and assume the model is bad. In reality the model is usually doing exactly what you asked — you just asked for too little. Here is how to fix that, using the same tool you already have open at aiimagegenerators.net.
Start with the subject, not the style
New users almost always lead with art style first: "cinematic, ultra detailed, 8k, masterpiece." That string tells the model almost nothing about who is in the frame. Flip it. Open with a concrete subject description — age, build, hair, expression, what they are wearing, what they are doing. "A woman in her late forties with short grey hair, laughing mid-sentence, wearing a wool coat" gives the model a spine to hang everything else on. Style words come after the subject is nailed down.
Use camera language instead of quality words
Words like "high quality" and "detailed" are noise. Photographers describe gear because gear produces predictable artifacts. Try phrases like "shot on an 85mm lens at f/1.8" for soft background separation, or "35mm street photography, natural light" for a more casual, unposed feel. "Golden hour light from the left" or "overcast window light" tells the model exactly where shadows should fall. Once your render includes deliberate lens and light language, faces stop looking flat and start looking photographed.
Describe skin honestly
The uncanny valley lives in skin. Smooth, poreless faces read as dolls. Add texture words: freckles, faint wrinkles around the eyes, a small scar, stubble, sun-tinged cheeks. Mentioning a specific imperfection is one of the highest-leverage edits you can make. A single phrase like "faint laugh lines" does more for realism than ten "hyperrealistic" tags.
Control the pose and framing
Candid beats posed. "Looking slightly off camera, caught mid-turn" produces more natural results than "looking directly at camera, smiling." For framing, say what you want literally: "chest-up portrait," "full body against a plain wall," "extreme close-up of the eyes." Vague zoom wishes almost never land. If you want a background that does not distract, name it: "blurred office interior," "empty park at dusk," "neutral grey studio backdrop."
Iterate one variable at a time
The biggest mistake is changing five things between runs and then guessing which change helped. Generate a baseline, then adjust only the lighting. Run it again. Then adjust only the expression. Keep what works, discard what does not. Save the winning prompt somewhere you can copy and paste — eventually you will build a small library of prompt fragments you can recombine for any new subject.
Know when to stop
Diminishing returns hit fast. If the third revision is not meaningfully better than the second, change the subject description rather than adding more adjectives. More words is not more control; specific words are more control. When a prompt finally clicks, write it down and move on.
Prompt writing is a craft, not a password. Spend ten minutes on structure and you will get faces that hold up at full size — no retouching required. Head back to aiimagegenerators.net and test these ideas on a portrait of your own.