PROMPT RADAR / IMAGE人像时尚
个人资料 / 头像 - Neo-Noir Cinematic Rain Portrait
An ultra-realistic cinematic night portrait of a man in a black raincoat with an umbrella, featuring dramatic lighting and a moody urban atmosphere.
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ORIGINAL VISUAL / 来源见文末编辑先看
它为什么值得进入灵感库
这条内容值得留下的,不是表面的风格词,而是它提供了一条可以继续实验的画面路径。 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”。
01 / 原始方法
完整视觉 Prompt
Ultra-realistic cinematic night portrait of the person from the uploaded photo, preserving the exact facial features, hairstyle, skin tone, and identity. He is wearing a {argument name="outerwear" default="premium black waterproof raincoat"} with {argument name="gloves" default="black leather gloves"}. In one hand, he holds a {argument name="accessory" default="large open black umbrella"}, tilted slightly backward to cover his head and shoulders while keeping his entire face fully visible. His face is illuminated by a soft, bright directional key light that enhances his facial structure, sharp jawline, and natural skin texture. Expression is calm, confident, and slightly thoughtful, looking directly at the camera. The background features a blurred nighttime metropolitan street with glowing streetlights, cinematic bokeh, wet asphalt reflecting warm city lights, and subtle rainfall. Raindrops are barely visible, creating a moody, atmospheric ambience. Warm orange and golden highlights contrast with cool blue shadows, giving a premium neo-noir cinematic look. Professional editorial photography, shallow depth of field, ultra-detailed, HDR, 85mm lens, f/1.4, realistic skin texture, natural proportions, dramatic lighting, 8K, masterpiece, photorealistic.
02 / 复刻路径
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。
- 主体:An ultra-realistic cinematic night portrait of a man in a black raincoat with an umbrella, featuring dramatic lighting and a moody urban atmosphere.
- 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
- 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
- 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