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新颖的光学错觉生成
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新颖的光学错觉生成

Prompt
Consider the elements of typical optical illusions. Think about all the different types and how they work. Now make an image that is a novel optical illusion. Avoid the common tropes like impossible structures, steps, faces and vases. Surprise me. The illusion should be based around the word fofr.
Category
创意图片
Model
Nano Banana Pro
Creator
fofr
Views0
Source ID
fa39d0fe-16fb-4e4f-82c6-e8b6fef530f2
Published
Mar 8, 2026

Guide

About "新颖的光学错觉生成"

What is this prompt for?

"新颖的光学错觉生成" AI image prompt for Nano Banana Pro (创意图片). 一个元提示,挑战 AI 生成一个全新的视错觉。它要求 AI 分析典型错觉的元素,避免常见的套路(不可能的结构、人脸/花瓶),并围绕特定词语“fofr”构建新颖的错觉。 --- 思考一下典型视错觉的构成元素。…

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 "新颖的光学错觉生成".

  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 "新颖的光学错觉生成" 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.