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Identity Preservation Subway Portrait

Identity Preservation Subway Portrait

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Use the uploaded image as the ONLY facial identity reference. Absolute face preservation mode. Strict face lock. Maintain 95–100% facial similarity and preserve the exact eyes, eyelids, eyebrows, nose shape, nostrils, lips, jawline, cheekbones, forehead, skin tone, ethnicity, age appearance, facial proportions, beauty marks, and natural skin texture from the uploaded face reference. Do not redesign, beautify, alter facial structure, blend identities, or generate a different person.

Recreate the exact scene shown in the reference image: a candid urban subway platform environment with a train on the left side, tiled station walls, cinematic shallow depth of field, natural station lighting, soft background blur, realistic motion atmosphere. Subject looking back over her shoulder toward the camera with a warm genuine smile. {argument name="hair color" default="Long dark hair"} visible from beneath a light pink {argument name="headwear" default="New York Yankees baseball cap"}, small gold hoop earrings, oversized black outfit, black shoulder bag. Natural candid street-photography aesthetic, authentic lifestyle moment, realistic skin texture, ultra-photorealistic DSLR quality, shallow depth of field, soft bokeh, cinematic color grading, highly detailed, 8K resolution.

Important: Keep everything exactly the same as the original image (pose, camera angle, subway platform, cap, clothing, lighting, composition, background, expression, and environment). Replace only the face with the uploaded face reference while maintaining perfect identity preservation and realistic integration

✨ Generate Original post Open in Hitboard

How to use this prompt

Copy the prompt and paste it into GPT Image 2. Keep the composition, lighting and style terms as written — they are what produced this result. Swap the subject or scene details to make it yours, keep the aspect ratio, and attach the reference images the prompt mentions if any. Regenerate two or three times; the strongest version is usually not the first.