PROMPT RADAR / IMAGE插画三维
SHE TOOK ONE SELFIE. AI TURNED IT INTO AN INFINITE PHOTOSHOOT. The trick
SHE TOOK ONE SELFIE. AI TURNED IT INTO AN INFINITE PHOTOSHOOT. The trick isn't the image generator. It's one sentence almost nobody uses: "Break this down into JSON." Here's the workflow. You give AI a single photo, and
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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。 轮廓语言、材质规则和世界观要互相支持,避免把互不相干的风格词堆在一起。
01 / 原始方法
完整视觉 Prompt
SHE TOOK ONE SELFIE. AI TURNED IT INTO AN INFINITE PHOTOSHOOT. The trick isn't the image generator. It's one sentence almost nobody uses: "Break this down into JSON." Here's the workflow. You give AI a single photo, and instead of asking for edits, you ask it to describe every visual element as structured code. The lighting. The pose. The face geometry. The exact skin tone. The composition. All of it — captured as a precise JSON blueprint. That blueprint becomes her digital DNA. Now type: "Show her in the back of a Rolls Royce in Dubai at night, scrolling her phone, flash on." Same face. Same person. New world. "Show her in a podcast studio." Done. Perfectly consistent. The craziest part? Character consistency was THE unsolved problem of AI images. Faces drifted. Every generation looked like a different cousin. JSON fixed it — because the model stops guessing what she looks like and starts reading the spec. One selfie becomes a Dubai lifestyle shoot, a podcast appearance, a brand campaign. Influencers pay photographers thousands for what this workflow does in minutes. The people who figured this out aren't booking photoshoots anymore. They're generating them. Follow @Sancho_Wizard for more AI deep dives. Don't forget to bookmark this post for later.
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:SHE TOOK ONE SELFIE. AI TURNED IT INTO AN INFINITE PHOTOSHOOT. The trick isn't the image generator. It's one sentence almost nobody uses: "Break this down into JSON." Here's the workflow. You give AI a single photo, and
- 视觉方向:实时 AI 视觉案例;查看原帖媒体与作者说明
- 镜头与构图:查看原帖画面;查看原帖媒体与工作流
- 交付约束:auto,保留原作者方法与归属;复刻时避免水印、低清、畸变、主体漂移和无关文字。
负向约束
保留原作者方法与归属;复刻时避免水印、低清、畸变、主体漂移和无关文字。
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