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Futuristic facial age-checker infographic portrait

A long, detailed prompt for creating a hyper-realistic portrait infographic that analyzes facial aging factors with overlays and labeled percentages, styled like a premium cosmetic-tech ad.

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A hyper-realistic, high-resolution portrait infographic based on ({argument name="reference_photo" default="your photo"}). Keep the same person, identity, hairstyle, clothing and natural skin tone from ({argument name="reference_photo_short" default="your photo"}), with a neutral studio background.Overlay a subtle, semi-transparent facial analysis grid on the entire face, very similar to a 3D face-scanning mesh: thin, soft white lines following the facial contours, slightly glowing but not hiding the skin details. Add one clean vertical red laser line running down one side of the face, like a futuristic scan. All analysis lines must be soft, minimal and elegant, exactly like a cosmetic-tech advertisement.Create a clean medical–aesthetic infographic that evaluates 5 aging factors using global data percentages:1. Fine lines and wrinkles2. Skin texture and elasticity3. Facial volume and sagging4. Eye area aging signs5. Skin tone and pigmentationFor each factor, place a small label with a thin line pointing to the relevant facial area, and next to it write a short title and a realistic percentage score from 0–100% (based on global data), for example:“Fine lines & wrinkles – 18%”“Skin texture & elasticity – 72%”“Facial volume & sagging – 35%”“Eye area aging signs – 41%”“Skin tone & pigmentation – 63%”Use clean, modern, sans-serif typography and small technical-style text, like a scientific facial analysis UI. At the bottom of the image, in the center, write a large bold text showing the final estimated real age based on the analysis, for example:“ESTIMATED AGE: (random number based on face analysis ) ”Overall style: futuristic AI-guided skincare analysis, minimalistic, premium editorial lighting, no gender mentioned, suitable for any human face.

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更新于
2025年11月24日
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X Post
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CC BY 4.0. Prompt pages keep the original attribution and source links from the upstream gallery records stored in the database.

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