Use this powerful n8n workflow to fetch image URLs from Airtable, upscale them using the Real-ESRGAN AI via Replicate, and automatically store the high-resolution results in Google Drive. Get started with this n8n template today.
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Managing large volumes of media assets, especially when needing enhancement like upscaling, can be time-consuming. This specialized n8n workflow solves this by creating a robust pipeline that links Airtable, a leading AI image processor (Real-ESRGAN via Replicate), and Google Drive.
Upon manual execution of this n8n trigger, the system dynamically creates a dedicated output folder in Google Drive. It then pulls specified image URLs from an Airtable record. Each image is processed individually through a looping mechanism, sent to Replicate for high-quality upscaling, and the final high-resolution file is downloaded and immediately uploaded back to the newly created Google Drive folder. This provides a clean, fully automated, and highly repeatable AI enhancement process powered by n8n.
This comprehensive n8n workflow operates through eight main stages:
PortraitFotoAuswahl field).To deploy this n8n template, follow these steps:
PortraitFotoAuswahl.Token APIKEY> or similar configuration required by Replicate). When clicking ‘Execute workflow’ (Manual Trigger): The starting point, acting as the primary n8n trigger for initiating the batch process.
Create folder (Google Drive n8n node): Dynamically creates a folder in Google Drive using a user-defined name template, ensuring organization for the output files.
Get Record from Pictures (Airtable n8n node): Fetches the specific Airtable record data needed to extract image attachments. Requires careful configuration of the Base, Table, and Record IDs.
Extract Portrait URLS from Airtable Output (Code n8n node): Critical custom script that parses the PortraitFotoAuswahl field, extracts each image URL, and maps the newly generated Google Drive folder ID for later use in the n8n workflow.
Loop Over Items (Split In Batches n8n node): Manages the batch processing, ensuring the subsequent AI steps are performed individually for every extracted image URL.
Replicate Upscaler (HTTP Request n8n node): The core AI processing n8n node. Sends a POST request to Replicate using the Real-ESRGAN model version specified in the JSON body, aiming for 2x scaling. This n8n node handles the demanding upscaling task.
Download Upscale (HTTP Request n8n node): Downloads the resulting upscaled image file from the temporary URL provided by Replicate, preparing the binary file for storage.
Upload to Google Drive (Google Drive n8n node): The final action. Uploads the processed binary file to the correct, dynamically referenced folder ID using a timestamped filename, completing the n8n workflow.
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I'm a self-taught n8n automation specialist from Zürich with 2 years of intensive experience building complex workflows. My focus lies in creating practical, production-ready workflows that solve real business challenges - from AI-powered content generation to data management and process automation. Each workflow I share reflects tested, optimized solutions that deliver measurable results.







































