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Create stylized product photography with Airtable & Gemini Nano Banana

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Important notice

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

1. Workflow Overview

This workflow automates the process of generating stylized product photos for e commerce by combining real product shots with creative templates. It enables the creation of a complete set of images...

Best for

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

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.airtable, n8n-nodes-base.set, n8n-nodes-base.splitout, n8n-nodes-base.splitinbatches, n8n-nodes-base.aggregate, n8n-nodes-base.merge, n8n-nodes-base.httprequest

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Create stylized product photography with Airtable & Gemini Nano Banana
Workflow name
Create stylized product photography with Airtable & Gemini Nano Banana

This workflow automates the process of generating stylized product photos for e-commerce by combining real product shots with creative templates. It enables the creation of a complete set of images for an SKU from a single product photo and a set of reusable templates. The workflow uses Google Gemini (Nano Banana) for image editing and Airtable as the data source.

Example use case. An apparel brand can use this workflow to turn plain product photos (e.g., socks on a white background) into lifestyle images that match their brand aesthetic. By combining each product photo with predefined templates and reference images, the workflow generates a variety of stylized results automatically - ready for marketing or online stores.

How it works

This workflow expects the following Airtable table setup:

  • "Product Images" - contains original product photos, one per record.
  • "Reference Images" - contains reference images for templates, one per record.
  • "Templates" - contains reusable generation templates. Each template includes a text prompt and up to three reference images.
  • "Jobs" - contains batch generation jobs. Each job references multiple product images and multiple templates.
  • "Results" - contains the generated outputs. Each result includes a generated image, references to the job, product image, and template, and a status field (pending, approved, rejected).

The workflow is triggered by a webhook that receives a job ID from Airtable. It then:

  1. Fetches the job record.
  2. Retrieves the associated product images and templates (each with its text prompt and reference images).
  3. Downloads all required product and reference images.
  4. For each product-template combination, sends these images and the prompt to Google Gemini to generate new AI-edited images.
  5. Saves the generated images back into Airtable.

NOTE: A separate workflow should handle the human-in-the-loop approval process and any regeneration of rejected results.

Requirements

  1. Airtable Personal Access Token
  2. Google Gemini API key

Setup

  1. Ensure all required Airtable tables exist.
  2. Configure parameters in the parameters node:
    • Set Airtable Base ID
    • Set ID of the attachment field in the "Results" table (where the generated images will be uploaded)
  3. Configure credentials for all Airtable nodes.
  4. Set Google Gemini API key for the "Generate..." nodes.

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 - Webhook

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

Block 2 - Get Job

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

Block 3 - Clean up

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

Block 4 - Split products

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

Block 5 - Get products

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

Block 6 - Split templates

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

Block 7 - Get templates

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

Block 8 - Edit products

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

Block 9 - Edit templates

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

Block 10 - Loop over templates

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

Block 11 - Split reference images

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

Block 12 - Get reference image

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

Block 13 - Edit reference image

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

Block 14 - Aggregate

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

Block 15 - Merge templates data

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 16 - All combinations

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 17 - Download product image

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

Block 18 - Switch

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.3

Block 19 - Generate with 1 ref

Type / Role
@n8n/n8n-nodes-langchain.googleGemini - googleGemini
Config choices
Version 1

Block 20 - Generate with 2 refs

Type / Role
@n8n/n8n-nodes-langchain.googleGemini - googleGemini
Config choices
Version 1

Block 21 - Generate with 3 refs

Type / Role
@n8n/n8n-nodes-langchain.googleGemini - googleGemini
Config choices
Version 1

Block 22 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 23 - Extract from File

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

Block 24 - parameters

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

Showing the first 24 of 37 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Create stylized product photography with Airtable & Gemini Nano Banana
Complexity advanced
Nodes 37
Categories Content Creation, Multimodal AI
Author Vadim
Published 28 Oct 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/10250/10250.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 stylized product photography with Airtable & Gemini Nano Banana do?

This workflow automates the process of generating stylized product photos for e commerce by combining real product shots with creative templates. It enables the creation of a complete set of images...

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.