18

提示词: 将上传的图像转换为高度真实的
Enlarge

Example images

提示词: 将上传的图像转换为高度真实的

Prompt
Turn the uploaded image into a highly authentic late-90s PlayStation 1 in-engine gameplay screenshot. Preserve the original composition, camera angle, and subject, but reinterpret it using strict PS1 hardware limitations: very low-poly geometry, affine texture warping,
Category
Photography & Realism
Model
GPT Image 2
Views5
Source ID
21348
Published
May 18, 2026

Guide

About "提示词: 将上传的图像转换为高度真实的"

What is this prompt for?

"提示词: 将上传的图像转换为高度真实的" AI image prompt for GPT Image 2 (Photography & Realism). 将上传的图像转换为高度真实的 90 年代末 PlayStation 1 游戏内截图。保留原始构图、摄像机角度和主体,但使用严格的 PS1 硬件限制进行重构:极低…

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 "提示词: 将上传的图像转换为高度真实的".

  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 "提示词: 将上传的图像转换为高度真实的" 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.