提示词库 · 信息图 · 信息图 GPT Image 2 提示词:Canadian Citizenship Card Mockup
信息图 GPT Image 2 提示词:Canadian Citizenship Card Mockup
信息图 界面稿 角色设定

信息图 GPT Image 2 提示词:Canadian Citizenship Card Mockup

An ultra-realistic prompt for a government ID card mockup, including intricate security features, holographic elements, and specific personal details.
场景
信息图 / 界面稿 / 角色设定
模型
GPT Image 2
语言
English

📝 提示词

Ultra-realistic 16:9 close-up scan of a {argument name="nationality" default="Canadian"} citizenship card placed on a clean light grey/white background. The card is horizontally aligned, centered in frame, captured in sharp focus with studio lighting. Design features a modern government-issued ID layout with bilingual English and French text. Top-left includes the flag with a {argument name="symbol" default="red maple leaf"}. Header text reads “CANADA – CANADIAN CITIZENSHIP CARD / CARTE DE CITOYENNETÉ CANADIENNE.” The card includes a passport-style portrait of a {argument name="subject" default="young woman"}: medium-length dark brown hair, center-parted, natural makeup, warm skin tone, neutral expression, direct gaze, subtle freckles, wearing minimal jewelry and a dark top. Personal details section includes: – Surname: MARTIN – Given names: ÉMILIE SOPHIE – Citizenship number: 1234-5678 – Date of birth: 14 APR 1996 – Place of birth: MONTRÉAL, QC, CANADA – Issue date: 20 MAY 2024 – Expiry date: 20 MAY 2034 Background design includes intricate guilloche patterns, microprinting, and soft pastel gradients. A large holographic maple leaf occupies the right side with iridescent rainbow reflections. Additional elements: – Government emblem in top-right – Embedded hologram square with maple leaf security seal – Fine-line engraving patterns across the surface – Signature at bottom right (“Émilie S. Martin”) Lighting is soft and even, highlighting laminated plastic texture, subtle reflections, and security overlays. No hand visible. Clean, minimal, professional composition. Photorealistic, high detail, 8K quality.

🎯 适合场景

适合做图解、清单、路线图和知识长图:先锁定信息层级,再把文字量控制在模型能稳定处理的范围里。

💡 改写建议

  • 先替换变量里的品类、人物、城市、品牌色,不急着改整段结构。 把主体、构图和风格分开写,后续微调会更稳。
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