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抽象背景生成(基于参考)
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抽象背景生成(基于参考)

Prompt
location:
  description: >
    Simple background created by interpreting the reference image’s mood.
    Use soft gradients, atmospheric glow, light particles, or abstract light rays.
    Avoid complex textures or any copyrighted shapes.
  background_feel: >
    Subtle, atmospheric, clean.
Category
创意图片
Model
Nano Banana Pro
Views0
Source ID
e0e1916d-581a-42cc-9d46-4c712e33f91b
Published
Mar 8, 2026

Guide

About "抽象背景生成(基于参考)"

What is this prompt for?

"抽象背景生成(基于参考)" AI image prompt for Nano Banana Pro (创意图片). 一个用于 Nano Banana Pro 的日语提示片段,旨在根据参考图像推断出的情绪生成一个简单、有氛围感的背景。它指定使用柔和的渐变、发光、光粒子或抽象光线,同时避免复杂的纹理或受版权保护的形状。…

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 "抽象背景生成(基于参考)".

  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 (Nano Banana Pro)

    Prefer Nano Banana Pro. 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 "抽象背景生成(基于参考)" prompt?
It is an AI image-generation prompt for Nano Banana Pro in the 创意图片 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 Nano Banana Pro. 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.