Prompt/Image Similar

18

怀旧 2010 年代校园照片
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Photography & RealismYouMindphotography-realism摄影与写实ja

怀旧 2010 年代校园照片

Prompt
一张 2010 年日本高中生放学后的低画质照片，由翻盖手机拍摄。 {argument name="number of people" default="约 8 到 10 名男生和女生"} 正在教室或自行车停放处聊天或玩耍。季节为 {argument name="season" default="初夏至初秋，即 6 月至 9 月之间"}。
Category
Photography & Realism
Model
GPT Image 2
Creator
YU // UI | UXデザイナー
Views3
Source ID
15579
Published
Apr 24, 2026
Studio
App
RoutebookSkills

Guide

About "怀旧 2010 年代校园照片"

What is this prompt for?

"怀旧 2010 年代校园照片" AI image prompt for GPT Image 2 (Photography & Realism). 一个用于生成低画质、怀旧风格照片的高详细度提示词，描绘了放学后聚在一起的日本高中生，呈现出翻盖手机拍摄的质感。 Copy it on Picva and recreate…

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 "怀旧 2010 年代校园照片".

  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 "怀旧 2010 年代校园照片" prompt?
It is an AI image-generation prompt for GPT Image 2 in the Photography & Realism 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.