Prompt/Image Similar

18

极简复古动漫模板
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Posters & TypographyYouMindposters-typography海报与排版ja

极简复古动漫模板

Prompt
使用此角色创建复古流行风格的关键视觉图。请严格参考原图的角色细节，忽略其构图、姿势、背景和取景。应用扁平化动漫阴影，并使用略粗的轮廓线。保持布局简洁，注意留白。{argument name="situation" default="[在此处插入构图和场景]"}。通过配色方案、氛围和构图自然地表达复古美学，而非使用刻板的符号。避免过度渲染、高密度的 AI 感、粒子特效、杂乱的背景或刺眼的灯光。确保画面井然有序且富有格调，呈现出专业海报的质感。
Category
Posters & Typography
Model
GPT Image 2
Creator
Eris Create Lab
Views4
Source ID
21330
Published
May 18, 2026
Studio
App
RoutebookSkills

Guide

About "极简复古动漫模板"

What is this prompt for?

"极简复古动漫模板" AI image prompt for GPT Image 2 (Posters & Typography). 这是一个专为 gpt-image-2 设计的结构化提示词模板，旨在生成极简、海报风格的动漫插画，同时保持角色的一致性。 Copy it on Picva and recreate th…

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 "极简复古动漫模板".

  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 "极简复古动漫模板" prompt?
It is an AI image-generation prompt for GPT Image 2 in the Posters & Typography 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.