PROMPT RADAR / PROMPT人像时尚

社交媒体帖子 - Candid East Asian Street Photography

A prompt for a realistic outdoor smartphone photo of a young woman standing by a concrete wall in bright sunlight.

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社交媒体帖子 - Candid East Asian Street PhotographyORIGINAL VISUAL / 来源见文末
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它为什么值得进入灵感库

它最有价值的部分,是把一个模糊想法推进到了可以被模型执行的程度。 先锁定人物身份与服装轮廓,再用光线、焦段和动作消除“普通写真感”。

完整视觉 Prompt

Ultra-realistic candid outdoor smartphone photograph of a {argument name="subject" default="young East Asian woman"} standing {argument name="setting" default="beside a textured light-gray concrete wall"} on a bright sunny day. She has shoulder-length straight light-brown hair with soft wispy bangs, naturally glowing fair skin, subtle makeup, delicate features, and a calm slightly playful expression as she looks over her shoulder directly toward the camera. She is wearing a {argument name="outfit" default="fitted light-gray ribbed sleeveless top"} and carrying a large structured brown-and-beige leather tote bag over her shoulder. She holds a black smartphone casually in both hands as if she has just paused while walking. Strong natural midday sunlight creates realistic highlights and soft shadows across her face and clothing, with a clear blue sky and green tree foliage visible above the wall. Side-profile three-quarter composition, close-to-medium framing, natural body proportions, authentic street-style photography, handheld phone-camera aesthetic, slightly wide-angle lens, realistic skin texture, subtle imperfections, crisp hair details, natural colors, high dynamic range, photorealistic 4K quality, spontaneous everyday moment.
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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 prompt for a realistic outdoor smartphone photo of a young woman standing by a concrete wall in bright sunlight.
  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:𝗦𝗮𝗻𝗶𝗮 · 收录于 2026年8月15日

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