提示词库 · 故事叙事 · 故事绘本 GPT Image 2 提示词:Candid Nightlife Street Snapshot
故事绘本 GPT Image 2 提示词:Candid Nightlife Street Snapshot
故事叙事 社媒配图

故事绘本 GPT Image 2 提示词:Candid Nightlife Street Snapshot

Generates a realistic flash-lit urban nightlife photo with anonymized partygoers seated on a sidewalk, useful for recreating a gritty social-media snapshot aesthetic.
场景
故事叙事 / 社媒配图
模型
GPT Image 2
语言
English

📝 提示词

Create a photorealistic candid nighttime street photo with a gritty flash-photography party snapshot aesthetic. The scene shows {argument name="number of seated women" default="two"} adult women sitting close together on a city sidewalk curb outside nightlife venues, both wearing {argument name="outfit color" default="black"} mini party dresses and small chain-strap purses. Their faces are intentionally anonymized by flat opaque brown square blocks placed over each face. The woman on the left has long dark wavy hair, a deep V-neck black dress, tanned skin, one knee raised, and motion-blurred arms as if she is gesturing or dancing while seated. The woman on the right has shoulder-length blonde hair, a strapless black dress, crossed legs, a delicate necklace, and one hand holding a small dark object near her knee. Include 3 prominent human figures total: the 2 seated women in the foreground and 1 tall adult man in dark clothing walking or standing behind them on the sidewalk, partially cropped at the top. The environment is an urban nightlife street at night, with a concrete sidewalk, parked cars along the road, leafy trees, storefronts and bar entrances, purple neon lighting on the left, warm streetlights, and a visible sign on the left reading {argument name="sign text" default="ENTRANCE ON 3RD STREET"}. Use a wide horizontal 16:9 composition, low eye-level perspective, dim ambient lighting, harsh on-camera flash, slight underexposure, realistic skin highlights, motion blur on moving hands, noisy high-ISO texture, and an unpolished smartphone snapshot look. Keep the background dark and slightly soft while the foreground subjects dominate the frame.

🎯 适合场景

适合做分镜、漫画感画面和电影场景:把人物、动作、镜头和氛围拆开写,后续更容易微调。

💡 改写建议

  • 先替换变量里的品类、人物、城市、品牌色,不急着改整段结构。 把主体、构图和风格分开写,后续微调会更稳。
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