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Canada Goose-Inspired Frozen Lake Arctic Expedition

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✦ Gemini / ChatGPT Tested

Using the uploaded reference photo, create an ultra-realistic 4K UHD (2160×3840) vertical 9:16 extreme-cold expedition fashion photograph of the same man. STRICT IDENTITY LOCK: keep his exact face, facial structure, hairstyle, beard, skin tone and body proportions unchanged. Do not regenerate the face.

Brand style: Canada Goose-inspired heavy-duty arctic parka, fur-trimmed hood, rugged polar-ready practicality, navy and graphite palette, no visible logos, arm patches or brand text.

Pose: full-length shot, he walks across a frozen lake with the hood up and a faux-fur trim framing his face, one gloved hand holding the zipper, looking straight into the camera with a calm, resilient expression, small ice crystals in his beard. 35mm lens, slightly low angle.

Outfit: a long graphite-grey insulated parka with a faux-fur-trimmed hood, a thick black thermal base layer, insulated dark trousers, heavy snow boots, thick mittens and a wristwatch over the cuff.

Scene: a vast frozen lake at twilight, a wide pale-blue sky, a faint green aurora near the horizon, drifting snow across the ice, tiny distant pines, a cold, silent and dramatic mood.

Quality: ultra-sharp face, realistic skin texture with frost on the beard, crisp parka fabric and faux-fur detail, professional DSLR look, cool blue cinematic grading with subtle green accents, balanced HDR, realistic shadows, noise reduction, premium 4K clarity. No face changes, no extra fingers, no distorted body, no logos, no artificial skin smoothing, no unwanted objects.

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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