Image Restoration Service with n8n & Gemini AI Editing
Automate restoration of vintage images using Gemini AI in n8n: receive images via HTTP, process with AI, and upload restored versions to Google Drive.
This n8n workflow builds a simple yet powerful vintage image restoration service leveraging Gemini's multimodal AI capabilities for image editing. Images are ingested via an HTTP trigger, converted to base64, processed by Gemini with a restoration prompt to enhance and repair them to near-new condition, then converted back to binary and uploaded to Google Drive.
Key benefits include cost-effective automation (around $0.039 per image), seamless integration of AI image generation, and easy scalability for batch processing. It's ideal for archiving old photos, real estate property image enhancement before showings, or marketing material prep, saving hours of manual editing.
Use cases span personal photo restoration, real estate (reviving outdated listing images for better scheduling appeal), e-commerce product photos, and creative services. Customize prompts for watermarks, branding, or other edits; swap triggers for webhooks or Telegram for mobile access.
Requirements are minimal: Google Gemini API and Google Drive credentials. Note geo-restrictions on the model and experiment with prompts for optimal results.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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