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雨中地铁背叛场景
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雨中地铁背叛场景

Prompt
Create a cinematic photorealistic anime-to-live-action scene in a Korean subway exit stairwell at night during heavy rain. The image shows exactly three characters: a young man and young woman kissing halfway down the stairs in the foreground, and a solitary young man standing at the top landing under a black umbrella in the background. The foreground man has short dark tousled hair with shaved sides, a loose wrinkled beige button-up shirt with sleeves rolled, oversized dark navy pants, and white sneakers; one hand is in his pocket as he leans down into the kiss. The foreground woman has long black hair, a fitted black top or jacket, a red plaid pleated skirt, sheer black tights, and glossy black high heels; she presses one hand to his chest while leaning upward. The background observer has pale silver hair, a dark oversized hoodie, dark shorts, and sneakers, holding the umbrella above him while facing the couple with a quiet, lonely expression. Set the scene on a wide gray stone staircase with metal handrails on both sides, beige tiled subway walls, warm wall lights along the steps, and wet reflective stair treads. At the top opening, show a rainy neon-lit city street with blue and pink blurred signs and visible rainfall. Add Korean subway signage: a black sign on the left reading “Exit” and a large “2”, with smaller Korean destination text, plus blue station information boards on the right wall. Use a dramatic symmetrical composition looking upward along the stairs, with the kissing couple slightly left of center and the observer centered at the top. Lighting should mix warm tunnel lamps with cool rainy city glow, creating a moody romantic noir atmosphere about betrayal, invisibility, and heartbreak. Ultra-detailed, cinematic depth of field, realistic textures, wet reflections, 16:9 horizontal frame. Customize as needed with {argument name="foreground man outfit" default="loose wrinkled beige button-up shirt, oversized dark navy pants, white sneakers"}, {argument name="foreground woman outfit" default="black top, red plaid pleated skirt, sheer black tights, glossy black high heels"}, {argument name="observer appearance" default="pale silver-haired young man in a dark oversized hoodie and shorts holding a black umbrella"}, {argument name="subway exit number" default="2"}, and {argument name="mood" default="lonely romantic betrayal in the rain"}.
Category
Architecture & Spaces
Model
GPT Image 2
Views6
Source ID
28839
Published
Jul 15, 2026

Guide

About "雨中地铁背叛场景"

What is this prompt for?

"雨中地铁背叛场景" AI image prompt for GPT Image 2 (Architecture & Spaces). 一个电影感提示词,用于生成阴郁的雨中韩国地铁楼梯场景,包含一对接吻的情侣和一名孤独的观察者。 Copy it on Picva and recreate the look in on…

The full copyable prompt and example visuals above are ready for AI image generation or one-click recreate in Picva.

How to use this prompt

  1. Step 1

    Open the prompt detail

    Review the example visuals, category, and full prompt text for "雨中地铁背叛场景".

  2. Step 2

    Copy the prompt

    Copy the prompt body from this page, or load it directly in Studio.

  3. Step 3

    Pick a model (GPT Image 2)

    Prefer GPT Image 2. If you switch models, keep subject and composition and tweak style terms.

  4. Step 4

    Generate and export

    Recreate the look in Picva, or export into your workflow for editing and publishing.

FAQ

What is the "雨中地铁背叛场景" prompt?
It is an AI image-generation prompt for GPT Image 2 in the Architecture & Spaces category. This page includes the full prompt text, example visuals, and a one-click recreate path in Picva.
How do I use this prompt to generate an image?
Copy the prompt from this page, or use Generate / Studio. Paste it into a compatible image model, or recreate the look in Picva with optional reference images.
Which model is this prompt for?
This page lists GPT Image 2. Most descriptive prompts also transfer to nearby image models such as GPT Image, Flux, or Midjourney with light style tweaks.
Can I use the result commercially?
You can usually copy the prompt for creation, but commercial use of the final image depends on the model terms, reference-image rights, and the generated content. Follow the source author and platform rules.