PROMPT RADAR / PROMPT人像时尚
个人资料 / 头像 - Realistic Cinematic Male Portrait
A high-detail cinematic prompt for generating realistic portraits of men with soft lighting and professional photography features like bokeh and shallow depth of field.
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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
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 close-up portrait of a {argument name="subject" default="handsome young man"} with thick, naturally tousled dark wavy hair, subtle short beard and stubble, expressive deep-set eyes, defined cheekbones, natural lips, and delicate round wire-frame glasses. He wears a {argument name="clothing" default="soft cream-colored textured knit sweater"}. Three-quarter angle, shoulders and upper torso visible, head slightly tilted toward the camera, calm and introspective expression, direct gentle gaze. Warm amber cinematic lighting from the side creates glowing highlights along his hair, glasses, cheekbone, jawline, and sweater texture, while the opposite side falls naturally into deep soft shadows. Dark intimate background with warm out-of-focus practical lights and beautiful circular bokeh, subtle reflections, cozy evening atmosphere. Natural skin pores and fine facial hair, realistic eye detail, individual hair strands, authentic fabric texture, soft imperfections, shallow depth of field, creamy background separation. Shot on a professional full-frame camera with an 85mm portrait lens, wide aperture around f/1.4, cinematic low-light photography, warm film tones, subtle analog grain, soft halation around highlights, rich blacks, gentle contrast, elegant editorial aesthetic, photorealistic, highly detailed, natural color grading, vertical 4:5 composition, no text, no watermark.
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:A high-detail cinematic prompt for generating realistic portraits of men with soft lighting and professional photography features like bokeh and shallow depth of field.
- 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