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赵灵儿仙气飘飘的仙侠海报
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赵灵儿仙气飘飘的仙侠海报

Prompt
《仙剑奇侠传1》{argument name="角色" default="赵灵儿"}「{argument name="场景" default="桃花初遇"}」电影级唯美仙侠海报。\n\n不是黑暗幻想。\n不是宿命感。\n不是压抑电影。\n不是清冷神女。\n\n而是：\n\n“仙剑1里最令人怜爱的{argument name="角色" default="赵灵儿"}”。\n\n━━━━━━━━━━━━━━━━━━\n\n【核心气质】\n\n{argument name="气质" default="天真、纯净、温柔、灵动"}。\n\n令人心动。\n\n令人怜爱。
Category
Posters & Typography
Model
GPT Image 2
Creator
小英镑知识分享
Views4
Source ID
20543
Published
May 14, 2026
Studio
App
RoutebookSkills

Guide

About "赵灵儿仙气飘飘的仙侠海报"

What is this prompt for?

"赵灵儿仙气飘飘的仙侠海报" AI image prompt for GPT Image 2 (Posters & Typography). 一个怀旧且细节丰富的提示词，旨在生成《仙剑奇侠传 1》中赵灵儿仙气十足、电影质感的海报，捕捉她清纯灵动的气质。 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 "赵灵儿仙气飘飘的仙侠海报".

  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 "赵灵儿仙气飘飘的仙侠海报" 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.