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Cinematic Photography Tutorial: Three-Panel Portrait Consistency Layout

Cinematic Photography Tutorial: Three-Panel Portrait Consistency Layout — explore this gpt-image-2.5 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

Cinematic Photography Tutorial: Three-Panel Portrait Consistency Layout — AI image creation
Cinematic Photography Tutorial: Three-Panel Portrait Consistency Layout

Prompt

Chinese prompt

创作一张竖版三宫格电影摄影教学排版图，由上到下展示同一位明确成年的单一人物，并保持 100% 一致：同一张脸、发型、妆容、服装、饰品、光线和身份。使用超真实电影质感、8K、HDR、高细节和影视级布光。第一格远景：使用广角 24mm，全身人物位于古风宫殿庭院中央，占画面约 15–20%，表现建筑、天空、环境关系、对称构图、史诗氛围与黄金时刻光影。第二格近景：使用 85mm电影镜头，头肩占画面 70–80%，背景自然虚化，突出表情、发饰、服装刺绣、肤质和眼神。第三格大特写：使用 100mm Macro 微距镜头，仅拍摄同一只眼睛并占画面 90% 以上，只保留眉毛、睫毛、眼皮、虹膜和眼角，真实呈现虹膜纹理、眼球高光、睫毛与毛孔；不得出现完整鼻子、嘴巴、另一只眼睛、脸部错位、双眼、变形或多余五官。三格上下排列，统一色调、光线、人物和电影级调色。避免噪点、碎点、AI 瑕疵、畸变、重复五官、眼睛错位和低质量。使用配置的人物参考。

English prompt

Create a vertical three-grid cinematic photography teaching layout showing the same single adult character from top to bottom with 100% consistency: same face, hairstyle, makeup, clothing, accessories, lighting, and identity. Use ultra-realistic cinematic texture, 8K, HDR, high detail, and film-grade lighting. Panel one, Long Shot: use a wide-angle 24mm view, full body centered in an ancient palace courtyard, occupying about 15–20% of the frame, with symmetrical architecture, sky, environment, epic atmosphere, and golden-hour light. Panel two, Close-up: use an 85mm cinematic lens, head and shoulders occupying 70–80%, naturally blurred background, emphasizing expression, hair accessories, embroidery, skin texture, and eyes. Panel three, Extreme Close-up: use a 100mm Macro lens to show only the same single eye occupying over 90%, retaining eyebrows, eyelashes, eyelid, iris, eye corner, iris texture, highlights, lashes, and pores; show no full nose, mouth, other eye, facial misalignment, double eyes, deformation, or extra features. Arrange panels vertically with unified tone, lighting, character, and film-grade color grading. Avoid noise, artifacts, AI flaws, distortion, repeated facial features, eye misalignment, and low quality. Use the configured identity reference.

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