Faces are the hardest thing a diffusion model can render and the most rewarding to get right. A well-written portrait prompt produces a believable, characterful person you can almost imagine meeting. A vague one produces the dreaded "AI face" — symmetrical, plasticky, indistinct. This tutorial gives you the deliberate framework for portraits that look like real people.
Portraits demand more from a prompt than almost any other genre because viewers know exactly what a human face is supposed to look like. The slightest off detail — uncanny eyes, melted ears, glossy plastic skin — pulls the viewer out instantly. The fix is not "more detail keywords". It is a deliberate description of who this person is, what they look like, how they feel, and how they are framed.
This tutorial covers prompts for three portrait types — real-feeling people, stylised characters, and headshots — and shows you the vocabulary that works for each.
Every good portrait prompt answers five questions: who is this person, how do they look (physical), what are they wearing, how do they feel (expression and posture), and how are they framed (camera and lighting). Skip any of these and the model invents — and its inventions tend to converge on a bland, symmetric, slightly glossy "AI default" face.
Think of it like commissioning a painter. You would not say "paint my friend". You would describe her: late forties, freckles, slight gap in her front teeth, wearing the green wool coat she always wears, laughing mid-sentence the way she does, sitting on the kitchen step in afternoon light. That level of specificity is what models also need.
Useful elements: age range (early thirties, mid-fifties), ethnicity and heritage, body type, hair colour and style, eye colour, skin texture (freckles, lines, sun-weathered), distinctive features (gap in teeth, scar above eyebrow, asymmetric smile, dimples). Asymmetry is your friend — symmetric prompts produce that uncanny "AI face".
Specify the era, fabric, and condition. "Worn green wool overcoat with a frayed collar" is far more evocative than "a green coat". Wardrobe carries an enormous amount of character — a person's clothes communicate class, era, profession, and mood in a single phrase.
Faces feel alive only when the expression is named. Useful: warm half-smile, gentle laugh, contemplative gaze off-camera, serious focused expression, tired but kind, mid-conversation, looking directly at the camera with quiet confidence. Add posture: shoulders relaxed, leaning slightly forward, hands clasped in lap.
For portraits, the most common useful options are: extreme close-up (face fills frame), tight portrait crop (head and shoulders), waist-up environmental portrait, full-body portrait. Lens choice matters here: an 85mm portrait lens compresses pleasantly and is the default for flattering headshots; a 35mm lens feels more documentary and intimate.
Weak prompt — generic person
portrait of a beautiful woman
"Beautiful" pushes the model towards its trained ideal — flawless symmetric skin, perfect features, soft glamour lighting. The result will look glossy and synthetic. There is no age, no distinctive feature, no expression, no story. You will get an uncanny mannequin instead of a person.
Strong prompt — a specific, characterful person
Environmental portrait of a 62-year-old Portuguese
fisherwoman, weathered sun-tanned skin with deep
laughter lines around her eyes, short steel-grey hair
tucked under a faded blue cotton headscarf, one
asymmetric gold tooth visible when she half-smiles.
Wearing a worn navy fisherman's sweater patched at
the elbow, a small silver crucifix at her neck.
Standing on a stone harbour wall at dawn, arms folded,
looking directly at the camera with quiet pride.
Lighting: soft blue-hour ambient light from the sea
behind her, a warm rim from the harbour lamp on her
left cheek. 35mm documentary lens, slight film grain.
Style: photorealistic, shot on Leica Q3, in the spirit
of Steve McCurry documentary portraiture.
--ar 4:5 --v 6 --style raw
The output reads as a real person — specific, weathered, and dignified. The asymmetric tooth, the patched elbow, and the dawn rim light keep the image from sliding into "AI default" symmetry. The viewer believes she exists.
Tip: Avoid the word "beautiful". It pulls models towards their plastic, symmetric ideal. Replace it with the specific feature you actually find beautiful — "kind eyes with deep laughter lines", "soft natural smile".
Write a portrait prompt for a fictional grandfather you would love to meet. Include age, heritage, two asymmetric features, what he wears, what he is doing, and how he feels in this moment. Generate and refine until he feels real.
Generate the same character — a young app developer at her desk — in three different portrait styles: documentary photojournalism, glossy magazine cover, and Studio Ghibli anime illustration. Notice how the structure transfers across styles.
Take a portrait you already generated and rewrite the expression and posture only. Change "looking at camera, neutral" to "laughing mid-conversation, looking slightly off-camera, hands gesturing". See how much expression rewrites the entire feel of the image.
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