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Young Men Sitting On Bed

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✦ Gemini / ChatGPT Tested

A hyper-realistic, natural candid photograph of a handsome 24 year-old Indian boy sitting comfortably on a luxurious modern bed, leaning slightly against the headboard. Preserve his original face and identity exactly as in the face reference image, maintaining 100% facial similarity, natural skin tone, and facial features. His hairstyle must exactly match the provided hairstyle reference image. He is clean-shaven with a gentle confident smile, looking slightly towards his left. He is shirtless, with his right arm resting casually on the headboard and his left hand gently placed on his lap, creating a natural relaxed pose. His lower body is covered with a thick greyish-lavender blanket featuring an intricate repeating white scalloped pattern. A white TV remote rests beside him on the blanket. He is wearing a thin silver chain necklace and a silver bracelet with a red holy thread (kalawa) on his left wrist.

The background features a luxurious aesthetic bedroom with a tall pink vertical-panel velvet upholstered headboard. Above it is a large tropical wall mural featuring green palm trees, lush foliage, and a red parrot, surrounded by warm yellow LED strip lighting. The right-side wall has an elegant beige textured finish with repeating golden arch-shaped patterns and a warm decorative wall sconce. Red cushions are visible beside him. Shot vertically with a realistic DSLR portrait aesthetic, warm ambient indoor lighting, natural shadows, sharp subject details, realistic skin texture, original body proportions, no artificial beauty filters, 100% photorealistic.

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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