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Candid Night Promenade Portrait Of Young South Asian Man In Black Hoodie Leaning Against Vintage Streetlamp Post

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✦ Gemini / ChatGPT Tested

An Ultra HD, HDR, photorealistic vertical full-length outdoor night street portrait photograph strictly preserving the exact visual identity, facial geometry, body proportions, and calm, moody demeanor of the young South Asian man from the reference image, who serves as the primary visual identity reference.

Maintain his authentic facial features: a structured oval-to-square face shape, defined cheek contours, clean sharp masculine jawline, rounded chin, natural warm fair-to-wheatish glowing skin tone with fine, realistic skin texture and visible natural pores illuminated by evening ambient street light. He tilts his head slightly downward and to his left, looking toward the ground with a pensive, contemplative gaze, accompanied by dark, expressive almond-shaped eyes beneath neatly defined dark arched eyebrows, a straight prominent nose bridge, clean-shaven cheeks with a light, faint mustache shadow along his upper lip and subtle natural jawline contour, and naturally contoured lips resting in a calm, composed closed-mouth neutral expression. His thick, dense jet-black hair has natural volume and wavy texture, styled casually with his right hand reaching up and running his fingers through the tousled locks at the crown, with soft textured strands framing his forehead and temples with tapered sides.

He has a lean, athletic build with well-proportioned shoulders and is dressed in a trendy monochrome streetwear outfit: an oversized, heavyweight matte-black cotton fleece pullover hoodie with relaxed dropped shoulders, matching hood, and front kangaroo pouch pocket, paired with relaxed straight-leg dark charcoal-black utility cargo pants featuring side flap pockets and subtle fabric stacking over the ankles, and clean low-top all-white leather lace-up sneakers with thick white rubber outsoles.

He poses in an effortless, candid night-time stance: leaning his lower back comfortably against an ornamental, fluted black cast-iron street lamppost along a riverfront or bridge promenade. His right arm is raised with his hand running naturally through his dark hair, while his left arm hangs loosely at his side, and his legs are crossed comfortably at the ankles with his left white sneaker planted flat on the wet pavement and the right sneaker resting lightly on its toe tip, projecting grounded cool poise and reflective urban charisma.

The setting is an atmospheric city promenade at night: positioned alongside an ornamental black wrought-iron railing with curved arched balusters overlooking a body of water, with wet, glossy stone pavers reflecting the glowing ambient city lights. In the deep-blue nocturnal background, distant high-rise city buildings and waterfront streetlights dissolve into creamy, soft circular bokeh with cool blue and cyan light orbs.

Lighting is moody, cinematic nocturnal street ambient illumination: cool ambient night sky tones contrasted with soft directional streetlight casting subtle specular highlights along his tousled hair strands, cheekbones, hand, the textured weave of his black fleece hoodie, and the glossy wet pavement beneath his white sneakers, balanced by deep, authentic dimensional soft shadows. Captured with an 85mm portrait prime lens simulation at f/2.2 from a vertical eye-level full-length perspective matching the original reference orientation, tack-sharp optical focus on the subject, face, lamppost details, and clothing textures, authentic color reproduction with rich deep blues and blacks, and high dynamic range photographic realism.

Mayank Kapoor portrait
Mayank Kapoor

Mayank Kapoor is the brain behind EditMK.com - an AI prompt engineer with a base in Bengaluru, India. A recent graduate from Reva University, Mayank has carved out a niche for himself in the field of AI image generation - specifically Zero-shot, Few-shot, and Chain-of-Thought prompting techniques. Every prompt we publish on EditMK? He puts those through their paces personally, verifying them one by one before we even put them live.

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