PROMPT RADAR / IMAGE平面设计

个人资料 / 头像 - Reading Over a Seaside Inlet

A photorealistic lifestyle scene of a woman reading on a balcony framed by Japanese architecture with a tranquil coastal inlet view.

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个人资料 / 头像 - Reading Over a Seaside InletORIGINAL VISUAL / 来源见文末
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它为什么值得进入灵感库

先别急着照抄整段 Prompt:真正有用的是主体、空间和镜头之间的约束关系。 先规定信息层级和文字安全区,再谈视觉风格;无法落版的漂亮画面不是完整设计。

完整视觉 Prompt

Create a serene, photorealistic vertical image of {argument name="subject" default="a young adult woman"} sitting sideways on a simple wooden chair on a sunlit balcony, reading an open paperback book and gently looking back toward the viewer. She has {argument name="hair color and style" default="long dark brown softly wavy hair with bangs"} and wears a minimal {argument name="outfit" default="warm beige two-piece swimsuit"}. Frame the scene from inside a traditional Japanese-style room or doorway, with wooden sliding door frames and translucent paper panels on the left and a warm cream stucco wall on the right, creating a natural architectural frame around the subject. The balcony overlooks {argument name="view" default="a quiet rocky inlet with clear turquoise seawater, a small shrine-like wooden structure on the shore, pine trees, green hills, and the open sea in the distance"}. Use warm late-afternoon sunlight, soft natural shadows, a peaceful vacation atmosphere, realistic skin tones, shallow depth of field with the distant coast slightly softened, and high-end lifestyle photography composition. Keep the mood quiet and contemplative, centered on reading by the sea; no visible logos, no extra people, no modern clutter, no text overlays.
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不要一次改完所有变量

用 GPT Image 2 复刻时,先固定主体和构图,再逐次替换光线、色调或材质中的一个变量,这样更容易判断哪项描述真正起作用。

  1. 主体:A photorealistic lifestyle scene of a woman reading on a balcony framed by Japanese architecture with a tranquil coastal inlet view.
  2. 视觉方向:社区实测摄影提示词;按原提示词的光线描述执行
  3. 镜头与构图:按原提示词的镜头与景别执行;按原提示词的构图与画幅执行
  4. 交付约束:auto,遵循原提示词中的避免项;不要水印、乱码、低清、畸形手、错误透视或主体漂移。
负向约束

遵循原提示词中的避免项;不要水印、乱码、低清、畸形手、错误透视或主体漂移。

模型建议

GPT Image 2 / Grok Imagine / Midjourney / Flux。先用原始 Prompt 建立基准结果,再根据模型对自然语言、镜头运动或文字排版的能力做局部改写。

来源与编辑原则

保留作者,也保留判断。

本页收录公开案例并提供中文索引、结构化拆解和复刻建议,不冒充原作者作品,也不替代原帖上下文。

作者:リクオくん · 收录于 2026年8月12日

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