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相机技术爆炸图
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Example images

相机技术爆炸图

Prompt
Detailed exploded-view diagram of a {argument name="camera model" default="Sony A7 mirrorless camera"}, with all internal components separated and clearly visible, each part labeled with its name. Technical product illustration style, clean white background, precise and informative layout.
Category
Charts & Infographics
Model
GPT Image 2
Creator
PromptLab
Source language
en
Views0
Source ID
25643
Published
Jun 14, 2026
Studio

Guide

About "相机技术爆炸图"

What is this prompt for?

"相机技术爆炸图" AI image prompt for GPT Image 2 (Charts & Infographics). 一个精确的技术插图提示词,用于创建带有内部组件标注和简洁布局的相机爆炸图。 Copy it on Picva and recreate the look in one click.

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 "相机技术爆炸图".

  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 "相机技术爆炸图" prompt?
It is an AI image-generation prompt for GPT Image 2 in the Charts & Infographics 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.