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老照片修复到专业肖像
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老照片修复到专业肖像

Prompt
"Restore this old photo into professional portrait of DLSR - quality colour and detail, using an advanced upscaling algorithm comparable to the results from {argument name="camera model" default="canon EOS R6 II"}. Ensure the restored the image looks natural, retains exact facial features, has great clarity......"
Category
创意图片
Model
Nano Banana Pro
Views0
Source ID
417234a8-da59-434c-95a6-9720bb01da70
Published
Mar 8, 2026

Guide

About "老照片修复到专业肖像"

What is this prompt for?

"老照片修复到专业肖像" AI image prompt for Nano Banana Pro (创意图片). 一个详细的提示,旨在将褪色的老式照片修复成高清专业肖像。它指定了数码单反相机 (DSLR) 质量的色彩和细节、高级放大,并施加了限制,以确保图像看起来自然、保留精确的面部特征并保持清晰度,可与高端佳能相机…

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 "老照片修复到专业肖像".

  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 "老照片修复到专业肖像" 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.