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乐高山洪救援场景提示
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乐高山洪救援场景提示

Prompt
LEGO mountain flood rescue scene, torrential rain causing river overflow in a LEGO mountain village, rescue boats and ropes used by LEGO firefighters, houses perched on slopes surrounded by muddy floodwater, misty mountains in background, dramatic cinematic lighting, intense LEGO disaster realism --ar 3:4
Category
创意图片
Model
Nano Banana Pro
Creator
𝐌
Views0
Source ID
d42001aa-bb19-44d4-839c-1ba5180798d6
Published
Mar 8, 2026

Guide

About "乐高山洪救援场景提示"

What is this prompt for?

"乐高山洪救援场景提示" AI image prompt for Nano Banana Pro (创意图片). 一个用于生成乐高山村灾难场景的戏剧性电影级图像的提示。场景包括倾盆大雨、河流泛滥、乐高消防员使用救援船和绳索、斜坡上的房屋以及背景中的薄雾山脉,强调强烈的真实感和戏剧性的光线。 --- 乐高山洪救援场景,…

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 "乐高山洪救援场景提示".

  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 "乐高山洪救援场景提示" 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.