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提示词: 将参考照片转换为真实风格
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提示词: 将参考照片转换为真实风格

Prompt
Transform the reference photo into an authentic 1990s anime character portrait. Preserve the person's recognizable facial features, bone structure, expression, and identity, while adapting them to classic 90s anime aesthetics.

Inspired by the cool, rebellious male
Category
Brand & Logos
Model
GPT Image 2
Creator
Crypto Freak 🤡
Source language
en
Views4
Source ID
23661
Published
Jun 1, 2026
Studio

Guide

About "提示词: 将参考照片转换为真实风格"

What is this prompt for?

"提示词: 将参考照片转换为真实风格" AI image prompt for GPT Image 2 (Brand & Logos). 将参考照片转换为 20 世纪 90 年代经典的动画角色肖像。在保留人物可辨认的面部特征、骨骼结构、表情和身份的同时,将其适配为 90 年代经典的动画美学风格。 灵感来源于酷炫、叛逆…

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: 将参考照片转换为真实风格".

  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: 将参考照片转换为真实风格" prompt?
It is an AI image-generation prompt for GPT Image 2 in the Brand & Logos 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.