Nano Banana Pro

Ultra-Realistic High-Fashion Studio Portrait Prompt for a Male Model (modern Mafia Aesthetic)

A detailed prompt for the Nano Banana Pro model to generate an ultra-realistic, high-fashion studio portrait of a confident male model (25-30) in a modern mafia aesthetic. The prompt requires using an uploaded reference image for 100% accur

Prompt text

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Create a ultra-realistic high-fashion studio portrait of a confident, seductive male model aged 25–30 using the uploaded reference image as the only identity source, preserving the face with 100% accuracy and no alteration. The subject has olive skin, a lean athletic build, and is framed waist-up, centered, eye-level, with an 85mm portrait lens look. He has a sharp oval face, deep-set almond eyes with a tired, seductive gaze, thick natural brows, a straight nose, slightly parted lips, and light stubble beard and moustache. His jet-black hair is slicked back with natural volume. He wears a tailored charcoal-grey three-piece pinstripe suit, white spread-collar shirt, deep burgundy tie with a gold tie bar, a white pocket square, a luxury metal watch, and a silver ring on the index finger. His left hand rests in his trouser pocket while his right hand is raised near his lips holding a toothpick, conveying a relaxed yet dominant posture. A black ink neck tattoo is visible along with subtle finger tattoos. Lighting is professional cinematic studio lighting with a soft frontal key light, subtle fill, and a gentle rim light. The background is a deep burgundy gradient with a smooth matte texture. Apply warm cinematic color grading, shallow depth of field, ultra-sharp focus on the face, extreme realism, luxury fashion editorial style, modern mafia aesthetic, 8K photorealistic quality, aspect ratio 2:3, raw style, high detail, and premium studio finish.

Source & attribution

The Prompt Engineer · Awesome Nano Banana Pro Prompts

Source-listed license: CC-BY-4.0. Prompt text is preserved; titles and previews may be shortened for display. Source examples are not NexGateHub test results.

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