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Ultra Realistic Couple Image Prompt

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✦ Gemini / ChatGPT Tested

IDENTITY LOCK: Use uploaded face photo ONLY for the man. Preserve exact face, features, proportions, skin, hair and beard. No alteration, beautification, aging or reconstruction. Ultra-realistic 9:16 indoor portrait of a young South Asian couple. Woman partially turned away, looking over shoulder directly at camera with soft closed-lip smile; right hand on hip, left hand gently on man’s chest, detailed mehndi visible. Deep-purple silk saree, backless spaghetti-strap gold-embroidered blouse, gold earrings, red-white bangles, statement ring. Man beside her, slightly angled toward her, one hand in pocket, chin slightly raised, looking at camera with warm toothy smile; grey rolled-sleeve shirt, tucked black trousers, belt, black-rim glasses, stud earring, faint forearm tattoo, short textured hair, full beard.Warm greige wall with vertical brushed-gold trim and dark multi-switch panel on the left. Keep all background elements fixed and natural and undistorted.28mm equivalent, f/3.2, eye-level portrait, both subjects sharp with mild background softness. Soft on-camera fill mixed with warm 3000–3200K ambient light, realistic highlights/shadows and subtle blur. Natural pores, hair, beard, silk, embroidery, jewelry and mehndi; authentic indoor event-photo look, warm true-to-life color, minimal processing. Not cinematic or staged. Negative: altered face, plastic skin, beauty filter, bad hands/fingers, distorted anatomy, warped saree, wrong mehndi, duplicated jewelry/limbs, excessive HDR/bokeh/grain, wide-angle distortion, dramatic lighting, AI look.

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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