Restore vintage photos using AI and upload to Google Dr

This template automates the restoration of damaged old photographs using Google Gemini´s AI model. The workflow is manually triggered and ideal for archives, museums, and collectors who need fast, high-quality restoration of vintage images without manual editing.

## Who it´s for
- Archivists working with historical photos
- Photographers restoring vintage prints
- Museums and cultural institutions managing digital archives
- Collectors needing automated image repair

## What the automation does
- Starts manually and processes three sample damaged vintage images
- Downloads each image and converts it to base64 format
- Sends the image to Google Gemini with a prompt to restore cracks and missing areas
- Receives the restored image in base64
- Converts the result back to binary format
- Automatically uploads the restored files to Google Drive

## What´s included
- Ready-to-use n8n workflow
- Trigger and processing logic for manual execution
- Integrations with Google Gemini API, Google Drive, and Cloudinary (via HTTP)
- Basic text instructions for adaptation

## Requirements for setup
- n8n account with workflow editing access
- Google Gemini API key
- Google Drive account with write permissions
- Access to source images (e.g., via Cloudinary or direct URLs)

## Benefits and outcomes
- Saves time on manual photo restoration
- Preserves original color tones and details during enhancement
- Enables scalable pre-processing for archival digitization
- End-to-end flow from download to cloud storage
- Supports digital cataloging standards

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.