Portrait Photo Upscaler Workflow

Overview

Automated workflow that retrieves portrait photos from Airtable, upscales them using AI, and stores the enhanced images in Google Drive with organized folder structure.

Features

• Automated Folder Creation : Creates timestamped folders in Google Drive
• AI-Powered Upscaling : Uses Replicate's Real-ESRGAN for 2x image enhancement
• Batch Processing : Handles multiple images efficiently with loop processing
• Error Handling : Continues processing even if individual images fail
• Airtable Integration : Retrieves images from specified database records

Prerequisites

Required Credentials

• Google Drive OAuth2 API : For folder creation and file uploads
• Airtable Token API : For accessing image records
• Replicate HTTP Header Auth : For AI upscaling service

Airtable Setup

• Column name: PortraitFotoAuswahl
• Column type: Attachment field containing image files
• Required: Valid Airtable Base ID and Table ID

Workflow Steps

1. Manual Trigger : Initiates the workflow execution
2. Create Folder : Generates new Google Drive folder with custom name
3. Get Airtable Record : Retrieves specified record containing portrait images
4. Extract URLs : Processes attachment URLs from Airtable field
5. Loop Processing : Iterates through each image for individual processing
6. AI Upscaling : Enhances images using Replicate's Real-ESRGAN (2x scale)
7. Download Results : Retrieves processed images from Replicate
8. Upload to Drive : Stores enhanced images in created folder

Configuration

Required Inputs

• Folder Name : Custom name for Google Drive folder
• Record ID : Airtable record identifier containing images
• Base ID : (configurable)
• Table ID : (configurable)

Upscaling Settings

• Scale Factor : 2x (configurable)
• Face Enhancement : Disabled (configurable)
• Model : Real-ESRGAN v1.3

Technical Details

Node Configuration

• Error Handling : Continue on individual failures
• Response Format : File binary for image processing
• Naming Convention : LoRa{timestamp}.png
• Batch Processing : Automatic item splitting

API Endpoints

• Replicate : https://api.replicate.com/v1/predictions
• Model Version : nightmareai/real-esrgan:f121d640bd286e1fdc67f9799164c1d5be36ff74576ee11c803ae5b665dd46aa

Use Cases

• Portrait photography enhancement
• Batch image processing for portfolios
• Automated content preparation workflows
• Quality improvement for archived images

Output

• Enhanced images stored in Google Drive
• Organized folder structure with timestamps
• Preserved original filenames with processed variants
• Failed processes continue without stopping workflow

Template Benefits

• Scalable : Processes unlimited images in single execution
• Reliable : Built-in error handling and continuation logic
• Organized : Automatic folder management and file naming
• Professional : High-quality AI upscaling for commercial use