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摄影写实 / PROMPT

Y2K 高楼浴室镜面自拍

从公开案例收录的摄影写实提示词,适合参考其画面结构、风格控制和细节描述。

适用模型GPT Image 2
已实测灵感来源于 awesome-gpt-image-2 案例 491;当前提示词与效果图由 Fastgoing 使用 GPT Image 2 实测重新制作。
Fastgoing 实测结果TESTED / RESULT
Fastgoing 使用 GPT Image 2 按当前提示词生成的独立实测效果。

Fastgoing 使用 GPT Image 2 按当前提示词生成的独立实测效果。

查看原图
完整提示词COPY / USE
A moody late-night mirror selfie captured in a luxury high-rise bathroom overlooking a glowing city skyline. A young woman with long, slightly messy black hair leans forward over a marble sink, partially obscuring one eye with loose strands. The photo is taken through a smudged mirror with visible dust particles, water spots, and imperfections, creating an authentic raw aesthetic. A powerful direct camera flash explodes in the frame, producing harsh highlights, lens flare, and a nostalgic early-2000s digital camera look.

The bathroom counter is cluttered with luxury cosmetics, skincare products, jewelry, a smartphone, and everyday personal items, adding a lived-in editorial feel. Reflections of neon-lit skyscrapers and hotel windows shimmer in the background, emphasizing an urban nightlife atmosphere. Soft pale skin tones contrast against dark clothing and black hair. The composition feels intimate, candid, and effortlessly cool.

Style: Y2K flash photography, candid mirror selfie, Korean editorial aesthetic, indie sleaze, hotel bathroom scene, luxury lifestyle, cinematic nightlife, disposable camera look, grainy texture, flash burn, realistic skin texture, shallow depth of field, authentic imperfections, viral Pinterest mood, high-fashion casual energy, raw unfiltered photography.

Camera: direct flash, compact digital camera, 35mm equivalent, harsh lighting, slight motion blur, visible noise, natural color grading, vertical composition, ultra-realistic, high detail.

复制后,可参考下方“建议替换”项目改成你的主题;带【方括号】的内容请优先替换。

PROVENANCE / 来源与验证

它从哪里来,是否完成实测?

灵感来源于 awesome-gpt-image-2 案例 491;当前提示词与效果图由 Fastgoing 使用 GPT Image 2 实测重新制作。

GPT Image 2 · 2026-08-17 实测
HOW TO USE

不用学提示词工程,也能改成自己的。

建议替换

01人物或主体02服装造型03拍摄环境04镜头与光线

使用小贴士

先只替换变量跑一次,观察最不符合预期的部分;第二轮只补充那一项约束,通常比一次塞进很多要求更稳定。