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材质与表面研究,用于真实感测试
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材质与表面研究,用于真实感测试

Prompt
Extreme close-up surface study.
Realistic material texture resembling {argument name="material type" default="stone, ceramic, or paper"},
soft grazing light revealing micro-details,
natural imperfections,
neutral monochrome palette,
no pattern repetition,
Category
创意图片
Model
Nano Banana Pro
Creator
SRKDAN
Views0
Source ID
6533407f-5a2c-4b05-9dc1-c0c5a3711d0f
Published
Mar 8, 2026

Guide

About "材质与表面研究,用于真实感测试"

What is this prompt for?

"材质与表面研究,用于真实感测试" AI image prompt for Nano Banana Pro (创意图片). 一个旨在通过请求极端特写表面研究来压力测试图像生成器材料真实感能力的提示。它指定了逼真的纹理(石头、陶瓷或纸张)、柔和的掠射光以展现微观细节、自然的瑕疵以及中性单色调色板。 --- 超近距离表面…

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 "材质与表面研究,用于真实感测试".

  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 "材质与表面研究,用于真实感测试" 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.