Prompt/Image Similar

16

旧照片的图像清理和色彩恢复
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创意图片PixshopPixshop Prompt LibraryNano Banana Pro图片

旧照片的图像清理和色彩恢复

Prompt
ガビガビの画像を簡単なプロンプトでクリーンナップ、なんならカラー化もできるのは便利。裏面の印刷が透けていたのも簡単な指示で修正できた。画像は{argument name="日付" default="1976年6月24日"}『{argument name="イベント名" default="地上最強のカラテ"}』大ヒット記念謝恩パーティーのひとコマ。
Category
创意图片
Model
Nano Banana Pro
Creator
コンバットREC
Views0
Source ID
f25172d3-d2bb-4fb9-9753-2ad7aee003e0
Published
Mar 8, 2026
Studio
App
RoutebookSkills

Guide

About "旧照片的图像清理和色彩恢复"

What is this prompt for?

"旧照片的图像清理和色彩恢复" AI image prompt for Nano Banana Pro (创意图片). 在 Nano Banana 中使用的一个简单提示，用于清理颗粒状图像并为其上色。它还包含纠正照片背面透印等瑕疵的说明，展示了其在照片修复方面的实用性。 --- 只需一个简单的提示，就能将颗粒感的图像…

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 "旧照片的图像清理和色彩恢复".

  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 "旧照片的图像清理和色彩恢复" 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.