Turn a Travel Portrait into a Night-Street Film Snapshot — AI Image Prompt Guide
Preserve the reference person's face and clothing while adding subtle film grain, motion blur and nighttime traffic. Use casual framing to reduce the appearance of a staged photo.
English translation of the public case notes.
Image-to-image case: convert an ordinary travel portrait into a casual night-street film snapshot. Preserve the person's face and clothing while using grain, movement and traffic to reduce the staged look. Suggested uses include travel posts, avatars and lifestyle content. Input: a clear photo showing the face, hairstyle and outfit. Goal: an Instagram-style nighttime film snapshot without changing facial or clothing features. Key controls are identity consistency, subtle film grain, slight motion blur, nighttime traffic and casual framing. Begin by requiring the face and outfit to remain unchanged. Describe the overall photographic treatment next, followed by pose, windblown hair, traffic and unstudied composition. Avoid excessive retouching, studio lighting, rigid centring, distorted facial features, replacement clothing and traffic that dominates the subject. Practical controls: • Put identity constraints first to reduce face or clothing changes. • Describe an ordinary, casually taken photograph to restrain the commercial-campaign look. • Keep grain and motion blur subtle enough that the subject remains usable and recognizable.
Original case notes (Chinese)
🎯 控制力案例｜夜街游客照，一键变随拍 适用模式：文生图 / 图像编辑。 技术上最值得拆的是：这个案例适合把普通游客照改成街头胶片快照。重点在保留人物面部与衣着，同时用噪点、运动模糊和夜间车流弱化摆拍感，适合旅行发帖、头像和生活方式内容。 可复用方法： 类型：图生图 输入：一张清晰人物照片，需能看清面部、发型和衣着 目标：在不改变人物面部与服装特征的前提下，生成夜晚街头 ins 风胶片随拍 关键词：人物一致性 / ins风 / 胶片质感 / 轻微噪点 / 运动模糊 / 夜晚车流 / 随手快照 重点：先锁定“面部衣着不变”，再描述整体风格，最后补充姿态、风吹头发、夜晚车流和非刻意构图 约束：避免过度精修、棚拍感、主体过于居中、五官变形、服装被替换、背景车流抢戏 💡 稳定输出的三把钥匙 • 把身份约束放在开头，降低换脸、换衣服的风险 • 用“平凡无奇、随手拍摄”压住商业大片感，让画面更像真实游客照 • 胶片噪点与运动模糊要写成轻微效果，避免糊到人物不可用 #GPTImage2 #OpenAI #AI绘画 #夜街随拍 #胶片快照 #人物一致性