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Glowing Rim Light Realistic Portrait

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✦ Gemini / ChatGPT Tested

Create an ultra-realistic, high-resolution cinematic close-up portrait of a young man against a completely black background. Use the uploaded reference photo as the only identity reference, preserving his exact facial features, natural skin tone, facial hair, and overall appearance.

The subject has thick, voluminous, naturally messy dark hair flowing around his head and neck, a neatly trimmed beard and moustache, and stylish round metal-frame sunglasses with lightly tinted lenses. He wears a plain black shirt and poses with his back slightly turned toward the camera, looking over his right shoulder with a calm, confident expression and his face angled toward the right side of the frame.

Use dramatic studio lighting with strong warm-white rim lighting outlining his hair, jawline, cheek, and shoulders against the deep black background. Add subtle highlights to individual hair strands and realistic reflections on the sunglasses. Preserve natural skin pores, fine facial hair, realistic hair texture, and detailed black fabric without losing shadow definition.

Capture the image as a tight three-quarter profile portrait with shallow depth of field, high contrast, professional DSLR quality, and a sophisticated cinematic editorial aesthetic. Use a vertical 4:5 composition, with the subject filling most of the frame. Keep the background completely black, with no visible objects, text, or distractions. The final image must look like a genuine professional studio photograph, not an artificial AI render. No skin smoothing, facial distortion, excessive retouching, or 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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