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Zara-Inspired Parisian Cafe Terrace

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✦ Gemini / ChatGPT Tested

Using the two uploaded reference photos, create an ultra-realistic 4K UHD (2160×3840) vertical 9:16 fashion editorial photograph of the same man (photo 1) and the same woman (photo 2). STRICT IDENTITY LOCK: preserve both people's exact facial identity, facial structure, hairstyle, beard (man), skin tone and body proportions. Do not alter or regenerate either face.

Brand style: Zara-inspired contemporary minimal tailoring, clean silhouettes, neutral palette, no visible logos or brand text.

Pose: the couple sits at a small round marble table on a Parisian cafe terrace, the man leaning back holding an espresso cup and looking at her, the woman resting her chin on one hand and smiling toward the camera. Medium shot, 50mm lens, shallow depth of field.

Outfit: the man wears a camel single-breasted wool-blend blazer over a cream knit polo, straight taupe trousers and brown loafers; the woman wears a long beige tailored wool coat over a thick opaque ivory high-neck knit top and wide-leg stone-grey trousers, a silk scarf neatly tied at her neck, fully covered and modest.

Scene: a cobblestone Parisian street in the morning, cream stone buildings with iron balconies, bistro chairs, soft diffused light, a bicycle leaning on the wall behind.

Quality: ultra-sharp faces, realistic skin texture, crisp wool and knit detail, professional DSLR look, soft neutral grading, balanced HDR, realistic shadows, noise reduction, premium 4K clarity. No face changes, no extra fingers, no distorted bodies, 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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