Skip to main content
All templates

Prompt template

Wet-Skin Chiaroscuro Editorial Portrait

A black-and-white close-up of a man with wet skin and an off-camera gaze under hard chiaroscuro, with subject, hair, skin texture and background as controls.

Made for GPT ImagePortrait & PhotographyRevision 5

Start from an example

Pick an example to load its exact settings, then make it yours.

  • View case

Make it yours

Only the parts worth changing are shown. The prompt updates as you go.

Who is in frame — age, build and heritage in three or four words; the chiaroscuro needs a face with bone structure for the light to carve

hair style

How the hair sits, and whether it is wet — the whole shot trades on soaked skin, so 'wet strands plastered to the forehead' fits the lighting

What is beading on the face and neck — sweat, rain, water or oil; every specular highlight in the frame is built from whatever you name here

Your prompt

A striking black and white close-up portrait of a with . His face and neck are glistening, covered in highly detailed . He has an intense, melancholic gaze directed off-camera to the left. The lighting is dramatic and high-contrast, emphasizing his sharp jawline, full lips, and specular highlights on the wet skin against a . Shot in a photorealistic, high-fashion editorial style with cinematic chiaroscuro.

Click a highlighted part to change it.

When to use it

Use when you need a high-fashion editorial headshot built on wet skin and hard light rather than a set or wardrobe.

How to get the best result

  • Describe a man; the fixed text says his face, his jawline and his lips, so a female subject conflicts with the prompt.
  • Name what is on the skin, sweat, rain or oil, because every highlight the light carves comes from that texture.
  • Keep the background dark and plain; the list includes kitchens and classrooms, which fight a chiaroscuro close-up.

Watch-outs

  • Color words in any slot are wasted; the shot is fixed black and white, so describe tone and shine instead.

Source and attribution

License
MIT
Example cases by
AoYe999

Browse more