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Create photorealistic social media images with Flux Realism, LoRa models & Airtable

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

AI Image Generation Workflow for Social Media Content Overview This n8n workflow automates the creation of photorealistic AI generated images for social media content. The workflow uses RunComfy (C...

Best for

  • Content Creation automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.if, n8n-nodes-base.splitinbatches, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.manualtrigger, n8n-nodes-base.airtable, n8n-nodes-base.wait, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Robert Schröder.

Original n8n.io source

1.1 Workflow description

Title
Create photorealistic social media images with Flux Realism, LoRa models & Airtable
Workflow name
Create photorealistic social media images with Flux Realism, LoRa models & Airtable

AI Image Generation Workflow for Social Media Content

Overview

This n8n workflow automates the creation of photorealistic AI-generated images for social media content. The workflow uses RunComfy (ComfyUI cloud service) combined with Airtable for data management to create high-quality images based on custom prompts and LoRa models.

Key Features

Automated Image Generation: Creates photorealistic images using Flux Realism model and custom LoRa models

Airtable Integration: Centrally manages content requests, model information, and image status

Cloud-based Processing: Utilizes RunComfy servers for powerful GPU processing without local hardware requirements

Status Tracking: Monitors generation process and automatically updates database entries

Telegram Notifications: Sends success notifications after image completion

Technical Workflow

  1. Server Initialization: Starts RunComfy server with configured specifications
  2. Data Retrieval: Fetches content requests from Airtable database
  3. Image Generation: Sends prompts to ComfyUI with Flux Realism + LoRa models
  4. Status Monitoring: Checks generation progress in 30-second intervals
  5. Download: Downloads completed images
  6. Database Update: Updates Airtable with image links and status
  7. Server Cleanup: Deletes RunComfy server for cost optimization

Prerequisites

  • RunComfy Membership with API access
  • Airtable Account with configured database
  • Telegram Bot for notifications
  • Flux Realism Workflow in RunComfy library
  • Uploaded LoRa Models in RunComfy

Airtable Schema

The database must contain these fields:

  • topic: Content description
  • pose_1: Detailed image prompt
  • LoRa Name Flux: LoRa model name
  • Model: Character name
  • pose_1_drive_fotolink: Link to generated image
  • Bilder erstellt: Generation status

Configuration Options

Image Resolution: Default 832x1216px (adjustable in ComfyUI parameters)

Generation Parameters: 35 steps, Euler sampler, Guidance 2.0

Server Size: "Large" for optimal performance (adjustable based on requirements)

Time Intervals: 30s status checks, 50s server initialization

This workflow is ideal for content creators who need regular, high-quality, character-consistent images for social media campaigns.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Status Check2

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2

Block 2 - Loop Over Items

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 3 - Code

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 4 - ComfyUI Actual Status

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 5 - RunComfyFluxRealism

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 2

Block 6 - When clicking ‘Execute workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 7 - Get RunComfy Workflows

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 2

Block 8 - RunComfy Start Server

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 2

Block 9 - Check Server Status

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 2

Block 10 - Search All Records from Airtable

Type / Role
n8n-nodes-base.airtable - airtable
Config choices
Version 2.1

Block 11 - Server Ready Check

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2

Block 12 - Wait for Server

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 13 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Delete RunComfy Server

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 2

Block 16 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 18 - Update Airtable Record

Type / Role
n8n-nodes-base.airtable - airtable
Config choices
Version 2.1

Block 19 - Download Generated Image

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 2

Block 20 - Wait for Prompt

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 21 - Set RunComfy Parameter

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 22 - Final message

Type / Role
n8n-nodes-base.telegram - telegram
Config choices
Version 1.2

Block 23 - User ID

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 24 - User and Workflow Version ID

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

3. Summary Table

Workflow Create photorealistic social media images with Flux Realism, LoRa models & Airtable
Complexity advanced
Nodes 24
Categories Content Creation, Multimodal AI
Author Robert Schröder
Published 19 Aug 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/7578/7578.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Create photorealistic social media images with Flux Realism, LoRa models & Airtable do?

AI Image Generation Workflow for Social Media Content Overview This n8n workflow automates the creation of photorealistic AI generated images for social media content. The workflow uses RunComfy (C...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.