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Hyper-realistic B&W portrait, chiaroscuro

Hyper-realistic B&W portrait, chiaroscuro AI Image Prompt

Prompt

Hyper-realistic 8K cinematic black-and-white portrait of the uploaded person in dramatic chiaroscuro style. Subject seated at three-quarter angle, leaning slightly forward with relaxed yet commanding posture. Face turned slightly away from camera, not looking at lens, one side sharply illuminated, opposite side fading into deep black shadow. Expression contemplative. Hands near chest in natural precise pose, fingers gently and correctly interlocked. One wrist clearly shows luxury black chronograph watch with detailed metal link bracelet, one hand wears subtle silver ring. Dressed in sharp black suit jacket over white dress shirt with top buttons open, showing refined fabric texture and natural folds. Background solid seamless black. Strong directional studio lighting with rich contrast, clean shadow falloff, realistic skin texture. Highlight fine details: hair strands, beard (if present) bristles, eye moisture, facial texture, watch face, metal bracelet reflections, silver ring. Shot with 85mm portrait lens look, shallow depth of field, premium commercial photography, ultra-sharp focus, smooth natural skin transitions, cinematic contrast, no artificial plastic skin, no extra fingers, no distorted hands, no messy anatomy. Aspect ratio 4:5.

AI Image Content Analysis

Content: Parametric subject/pose/clothing/background/lighting/lens/details. Formula: subject (parameterized) + pose (3/4 seated/turned face/not looking/interlocked hands) + clothing (black suit/white shirt) + background (solid black) + lighting (strong directional/chiaroscuro) + lens (85mm/shallow DOF) + details (hair strands/skin/watch/ring) + prohibitions, aspect 4:5.

Pros: Parametric design allows flexible subject and accessory swaps; detailed specifications control output effectively.

Cons: Heavily relies on uploaded reference image for pose matching; strict pose requirements limit applicability.

Reference image: Obvious reference-image dependency (argument name subject default)

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