医美前后对比高级海报

Prompt Prompt

医美广告里的“真人感”，不是把皮肤修得更光，而是让改善发生在真实纹理之上。 The “natural look” in medical aesthetics ads isn’t about retouching the skin to make it look smoother—it’s about making improvements that enhance the skin’s natural texture. ★ visible pores, ultra-fine facial fuzz, delicate lip lines 毛孔、绒毛、唇纹要保留。它们是近景人脸最直接的真实证据，删掉反而像 AI 磨皮。 ★ micro tonal variation, natural skin translucency 肤色不能是一块均匀底色。轻微色差、皮下透光感，才能让额头、面颊和鼻翼有活的层次。 ★ subtle under-eye texture, gentle shadow transitions 眼下纹理和鼻翼、嘴角的柔和阴影不能消失；这些过渡决定脸是立体皮肤，还是平面滤镜。 ★ smoother texture, refined pores, healthier hydration “After”不要写成零毛孔，而是更细腻、更均匀、更有水润反光。改善质感，不抹除皮肤结构。 这张图厉害的地方，是 Before 和 After 都有毛孔和细纹；差别只在肤色均匀度、干燥感和光泽的克制变化。可信，才显高级。 GPT- image 2 prompt👇 Create an ultra-premium aesthetic medicine advertising poster that merges Milk Cloud Orbit-level skin realism with Cream Halo Transit-level luxury brand system precision, while fully preserving the exact core logic of a centered before-and-after facial comparison. Show one healthy Western female model in an extreme close-up, front-facing portrait with strict central symmetry, her face split vertically down the middle into a clinically believable “before” and “after” transformation. The final image must feel like the flagship campaign of an elite international dermatology laboratory: hyper-real, de-AI, calm, immaculate, clinically persuasive, editorially luxurious, and visually expensive. Push the face closer, keep the background purer, enlarge the negative space, and refine the typography and card layout into a more controlled, museum-grade medical beauty poster. Core composition: Use a tall vertical layout with the model’s face occupying most of the image height. The portrait is centered with a perfectly frontal pose, bare shoulders, elegant neck line, and extremely balanced left-right symmetry. A precise vertical split line runs from hairline to chin, clearly dividing the before and after conditions. Keep the layout minimal and spacious, with only a few highly refined supporting elements. The face must be the absolute hero. Subject and facial logic: Use a healthy, athletic Western-looking woman with natural facial anatomy, refined bone structure, intelligent calm eyes, realistic lips, elegant brows, and subtle human asymmetry. She must feel like a real premium clinic model, not an influencer and not synthetic. Her expression should be composed, confident, and clinically trustworthy. Before and after transformation: The left side represents the before condition with restrained realism: mild dullness, faint fine lines, slight dehydration, subtle uneven tone, soft under-eye fatigue, and slightly rougher texture. The right side represents the after condition with premium medical credibility: smoother texture, more even tone, firmer skin appearance, refined pores, healthier hydration, clearer luminosity, and more rested vitality. The contrast must be visible yet tasteful, believable, and luxurious. Milk Cloud Orbit skin realism: Push the skin realism to the highest level. Show visible pores, ultra-fine facial fuzz, delicate lip lines, soft eyelid folds, micro tonal variation, natural skin translucency, tiny irregularities, subtle under-eye texture, and gentle shadow transitions around the nose, mouth, and jaw. The skin must feel fully human and de-AI: no waxiness, no plastic smoothing, no fake poreless beauty, no uncanny facial perfection. Cream Halo Transit brand system: Build a highly controlled clinical-luxury graphic system. Create a self-invented premium English brand such as “VELORA DERM LAB” or “AURELIA CLINICAL AGE SCIENCE.” Use an elegant serif headline, a refined uppercase subtitle, a discreet lab-style logo mark, and two minimalist clinical information cards with perfect spacing and hierarchy. Every branding element must feel intentional, balanced, and internationally premium, like a top-tier anti-aging institute campaign. Lighting: Use ultra-soft frontal clinical beauty lighting with subtle dimensional shaping. The light should reveal true skin detail while staying gentle, velvety, and expensive. Keep highlight rolloff extremely refined across forehead, nose bridge, cheeks, and lips. No harsh shadows, no cheap shine, no glam over-lighting. Background: Use a purified clinical background in soft ivory, mineral white, warm beige, or pale stone. Keep it minimal, clean, and nearly silent, with large elegant blank areas that increase the sense of trust, science, and sophistication. No clutter, no texture noise, no distracting decoration. Information cards: Use only two highly refined clinical callouts, positioned with calm symmetry on either side of the portrait. Each card should contain one minimalist icon, one concise English headline, and one short supporting line. The cards must look like luxury medical design, not infographic blocks. Typography: All text must be in elegant English and art-directed with couture-medical restraint. The headline should feel authoritative and luxurious, the subtitle intelligent and modern, and the supporting copy delicate and precise. Avoid generic ad fonts, bulky copy, or promotional clutter. Mood: clinical luxury, premium anti-aging science, dermatology authority, editorial restraint, believable transformation, elite medical beauty campaign, calm confidence, collector-grade beauty poster Color direction: Use a restrained palette of ivory, pearl cream, soft beige, pale taupe, natural skin neutrals, and deep charcoal-brown typography. Keep saturation low, refined, and mature. Rendering style: ultra-premium clinical beauty poster, extreme close-up split-face comparison, Milk Cloud Orbit skin realism, Cream Halo Transit luxury branding system, de-AI facial texture, refined negative space, purified laboratory background, elegant English typography, medical editorial campaign, 8k, world-class realism Negative prompt: plastic skin, over-retouched face, poreless beauty skin, influencer makeup, fake lashes, cartoon rendering, uncanny AI face, bulky infographic layout, too many labels, cheap skincare ad, neon color, harsh contrast, oily shine, distorted anatomy, unreadable typography, exaggerated transformation

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