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Noir | Black Elegance | Gun And Cigarette

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✦ Gemini / ChatGPT Tested

Use my uploaded reference photo as the exact identity reference for the main subject. Preserve my real facial identity, face shape, eyes, nose, lips, natural skin tone, and recognizable features with maximum accuracy. Do not replace my face with a different person.
Create an ultra-realistic, dark cinematic portrait of me leaning casually against a rugged black off-road jeep beside a peaceful mountain lake. I am wearing a dark olive-green utility jacket over a black T-shirt, black trousers, a premium wristwatch, and dark aviator sunglasses. Give me naturally textured, slightly wavy dark hair and a neatly groomed beard while preserving my actual facial identity.
I am holding a cigarette near my lips, with delicate wisps of smoke drifting upward. My expression is calm, serious, confident, and mysterious. The jeep occupies the left foreground, while a misty lake, dense green forest, and distant mountains create depth in the background.
Use moody cinematic lighting, muted teal and olive tones, soft overcast daylight, realistic reflections, detailed skin texture, authentic fabric, natural hands, professional color grading, shallow depth of field, and premium Hollywood crime-drama photography.
composition: Vertical 4:5 portrait, three-quarter body framing, subject positioned slightly left of center, natural relaxed pose, photorealistic details.
No face distortion, no plastic skin, no artificial facial features, no cartoon effects, no extra fingers, no duplicate subject, no unwanted text.
High resolution, premium cinematic editorial photography.

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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