PROMPT RADAR / VIDEO视频叙事

This guy built an AI pipeline that generates full beach photoshoots with

This guy built an AI pipeline that generates full beach photoshoots without a camera and now fashion brands pay him $1,600 per video. He got tired of watching brands spend $8,000 flying a model and a crew to a coastline

@framexin 857 热度 5.2 万 浏览
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。 把一段描述拆成起始状态、动作变化、镜头响应和结束画面,连续性比形容词更重要。

动作与镜头 Prompt

This guy built an AI pipeline that generates full beach photoshoots without a camera and now fashion brands pay him $1,600 per video. He got tired of watching brands spend $8,000 flying a model and a crew to a coastline for 15 seconds of walking footage, so he built a 7-node system that renders the entire shoot from a text prompt, sand, waves, wet skin, wind in the hair, all of it. Here's the exact breakdown: → Claude writes the full scene brief first, time of day, wave height, wind direction, tattoo placement, locked before a single render fires → Flux 1.1 Pro generates the base model with one consistent face and body, tattoos included, so nothing shifts between frames → Gemini 3 runs a realism pass on skin only, adds sun reflection on wet areas, visible pores on the shoulders, and uneven tan lines a studio render never thinks to include → Kling 2.6 turns the still into a walking video with camera tracking, matched to natural stride speed so the movement never floats → A 32-line exclusion prompt kills every synthetic tell in the frame, no even lighting on an outdoor scene, no flawless symmetry, no skin that looks like it has never seen the sun → Color grading runs matched to real golden hour reference photos so the light never looks like a default preset → Final export adds handheld micro shake and drops resolution to 1080p on purpose so the footage reads as shot on a phone, not rendered The key move 91% of people skip: you do not generate the model and then drop her into a beach scene, you generate the environment first and place her inside lighting that already exists. Skip that order and the shadows fall wrong, the water reflection misses her legs, and the whole thing reads as composited in three seconds. Get it right and the footage looks like someone followed her down the shoreline with an iPhone. Brands now pay him $1,600 per finished video plus $350 a month to keep the same model available for seasonal campaigns. Product pages running his beach footage convert 31% higher than pages using traditional studio shots because the setting sells the lifestyle, not just the product.
查看原作者内容

不要一次改完所有变量

用 Kling 复刻时,建议先单独生成稳定首帧,再把动作拆成“开始、变化、收束”三段;每段只保留一个主要运动。

  1. 主体:This guy built an AI pipeline that generates full beach photoshoots without a camera and now fashion brands pay him $1,600 per video. He got tired of watching brands spend $8,000 flying a model and a crew to a coastline
  2. 视觉方向:实时 AI 视频案例;查看原帖媒体与作者说明
  3. 镜头与构图:按原帖镜头流程执行;查看原帖媒体与工作流
  4. 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

Kling / Seedance / Veo / 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:framexin · 收录于 2026年8月2日

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