This n8n workflow demonstrates an automated process for restoring vintage images by leveraging AI-powered image generation. The workflow begins manually with a trigger, then downloads sample images from predefined URLs. Each image is sent to Google’s Gemini AI model, which restores damaged areas by removing cracks and tears, filling in missing parts while preserving original dimensions and colors. After generation, the restored image is extracted from the response and converted into a file format suitable for uploading. Finally, the restored images are stored in Google Drive, providing an efficient and scalable way to enhance old photographs automatically. This workflow is ideal for digital archivists, photographers, or anyone looking to restore vintage photos quickly and programmatically.