A Portrait Prompt Taken Apart: A Worked Example
From a vague request to a precise one in five steps, with what each addition buys and why the edits go in this order.
Prompting theory becomes clearer through a worked example. Let us take a typical vague request and bring it to working condition, explaining each step.
Step zero: the original request
"Portrait of a man, beautiful, professional"
What is here: a subject. What is missing: shot size, light, setting, expression, optics. "Beautiful" and "professional" are judgements — they carry no visual information and the model effectively ignores them.
The result: an unpredictable portrait in an arbitrary style. Every run gives something different.
Step one: shot size and setting
"Portrait of a man of forty, waist-up, grey studio background"
The two most influential parameters after light. Shot size determines what enters the frame; the background removes the randomness of the setting. Even at this step the spread between runs narrows noticeably.
Step two: light
"…soft single-source light from upper left, gentle fill on the right"
The key addition. A physically sensible lighting scheme appears: one direction, readable volume, shadows with comprehensible logic. This is the step that removes the characteristic AI look of even illumination from nowhere.
The fill is mentioned deliberately: without it the shadow side of the face goes too deep.
Step three: expression and gaze
"…looking into the lens, a calm focused expression, a slight turn of the torso"
Without this the model picks a neutral catalogue expression. The torso turn adds naturalness: a strictly frontal pose reads as static.
Note the phrasing "calm focused" rather than "not smiling" — positive description instead of negation.
Step four: optics
"…portrait focal length, shallow depth of field, background in soft defocus"
Optics determine facial proportions and separation from the background. A portrait focal length compresses perspective and gives familiar proportions; a wide lens up close distorts them.
Step five: texture and credibility
"…visible skin texture, natural pores, light grain"
The final touch responsible for realism. Without it you get a smooth surface that reads as a drawing.
The finished request
"Portrait of a man of forty, waist-up, grey studio background, soft single-source light from upper left, gentle fill on the right, looking into the lens, a calm focused expression, a slight turn of the torso, portrait focal length, shallow depth of field, visible skin texture, light grain"
Eleven meaningful elements — at the top of the working range. Adding more is unwise: further refinements would start crowding out the existing ones.
What to change while refining
If the result disappoints, change one element at a time. Too dark — adjust the fill. Face distorted — adjust the optics. Looks like a drawing — strengthen the texture description. Wrong character — adjust the expression.
The temptation to rewrite the whole request is strong, but then you lose the information about what was working.
The photo-mode variant
If the portrait is built on your own shot, the description of appearance drops out (it comes from the photo) while everything else stays. Plus a compatibility consideration appears: the scene's light should not diverge too far from the source's.
Frequently asked
Where should refinement start?
With shot size and light: they deliver the largest gain. Texture and small refinements only matter once the lighting is settled.
How many elements fit in one request?
Around ten or eleven meaningful elements. Beyond that, new refinements start crowding out existing ones and precision drops.
What should I remove from a request first?
Evaluative words: "beautiful", "professional", "high quality". They carry no visual information and occupy space that specifics need.
- #портрет
- #промпт
- #пример