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Cool Beach Photoshot

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✦ Gemini / ChatGPT Tested

Create an ultra-realistic, hyper-realistic candid beach photograph of the same young man from the reference, preserving his exact facial identity, natural skin texture, and original facial proportions.
An 18-year-old handsome young man with a slim, lean physique and narrow shoulders, wearing a modern textured side-swept quiff with heavy natural volume, deep side flow, visible individual strands, soft matte finish, and softly blended sides beneath a backward blue baseball cap. He wears a relaxed blue button-down shirt with rolled-up sleeves, an open collar, white trousers, dark rectangular sunglasses, a silver wristwatch, and a delicate bracelet.
NEW NATURAL POSE: standing ankle-deep in the ocean, casually walking toward the camera at a slight angle, one hand adjusting his sunglasses while the other rests naturally beside his thigh, head turned toward the incoming waves with a relaxed, confident half-smile. A large foamy wave crashes behind him, creating detailed white spray, swirling gray-green water, and realistic reflections around his legs. Soft overcast daylight, natural shadows, authentic skin pores, subtle wind movement in the shirt, realistic fabric creases, naturally wet shoreline, candid smartphone photography aesthetic, eye-level full-body framing, 50mm lens look, balanced exposure, true-to-life colors, crisp subject details, natural depth of field, no artificial enhancement or cinematic exaggeration. Preserve the original face exactly. stylish text “Alexai” at the bottom-left corner, signature style. Resolution: 1664x2080, vertical format, Ar 4:5.

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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