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Emerald Elegance In A Winter Wonderland β„οΈπŸ’š

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✦ Gemini / ChatGPT Tested

Create an ultra-realistic, high-resolution vertical 9:16 portrait of a beautiful young woman standing on a balcony beside a snowy city street at night, with delicate facial features, expressive brown eyes, long dark brown hair, naturally rosy cheeks, soft pink lips, and a calm, dreamy expression. She is wearing an elegant deep forest-green hijab wrapped gracefully around her head and neck, matching loose green abaya-style outerwear, delicate rings, and a cream-colored designer-style shoulder bag with a gold chain strap.

She gently holds the bag strap near her chest with one hand while looking slightly upward and to the side, creating a graceful, candid pose. Snowflakes fall naturally through the air and settle on her hijab, shoulders, and clothing. Behind her are snow-covered trees, a black metal balcony railing, glowing vintage streetlamps, blurred cars, and distant city buildings illuminated by warm golden and cool white lights.

Use cinematic nighttime lighting, realistic skin texture, detailed individual hair strands, authentic facial proportions, natural hands and fingers, realistic fabric folds, finely detailed snowflakes, shallow depth of field, and beautiful background bokeh. Create a sophisticated winter fashion photography aesthetic with cool midnight-blue tones contrasted against warm amber streetlights, professional DSLR quality, crisp 4K detail, natural beauty, and a peaceful winter atmosphere. No cartoon effects, no artificial skin smoothing, no distorted hands, no extra fingers, no text, no watermark.

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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