PROMPT RADAR / IMAGE人像时尚
个人资料 / 头像 - Realistic East Asian Selfie Portrait
A photorealistic vertical smartphone selfie of a young East Asian woman in a gray sweatshirt, useful for lifestyle portrait generation.
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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
Create a highly realistic vertical smartphone selfie portrait of a young East Asian woman with {argument name="hair color" default="black"} hair tied back in a low ponytail, soft wispy bangs falling across her forehead, and a few loose side strands framing her face. She has large glossy dark brown eyes, clear fair skin, natural rosy cheeks, subtle pink lips, and a calm gentle expression with a faint closed-mouth smile, looking directly into the camera. She is wearing an oversized {argument name="sweatshirt color" default="light heather gray"} crewneck sweatshirt with visible ribbed collar and soft cotton texture. The framing is a close upper-body selfie from slightly above eye level, face centered slightly to the right, shoulders visible, with a natural arm-length perspective and mild lens distortion typical of a phone front camera. Background is a simple indoor room with warm beige walls, a corner seam on the right, and a small portion of a neutral fabric sofa at the lower left. Use soft natural window light from the front-left, smooth skin detail without looking plastic, realistic hair flyaways, shallow depth of field, casual candid atmosphere, no jewelry, no text, no watermark, photorealistic quality, vertical 9:16 composition.
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 photorealistic vertical smartphone selfie of a young East Asian woman in a gray sweatshirt, useful for lifestyle portrait generation.
- 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