Create stylized product photography with Airtable & Gemini Nano Banana
Ready for 3.0What this workflow does
This AI workflow has 30 nodes and runs when an HTTP GET request hits its webhook URL. Along the way it connects Airtable and Google Gemini.
How it runs
Trigger: When an HTTP GET request hits its webhook URL.
- parameters (Edit Fields (Set)): sets 2 fields: airtableBaseId, airtableResultImageFieldId
- Get Job (Airtable): uses Airtable
- Update job status (Airtable): update
- Clean up (Edit Fields (Set)): sets 3 fields: products, templates, job_id
- Split products (Split Out): splits a list into separate items
- Split templates (Split Out): splits a list into separate items
- Get products (Airtable): uses Airtable
- Get templates (Airtable): uses Airtable
- Edit products (Edit Fields (Set)): sets 2 fields: product_id, product_image_url
- Edit templates (Edit Fields (Set)): sets 3 fields: template_id, prompt, reference_images
…plus 19 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (11)
- Webhook
n8n-nodes-base.webhook - Airtable
n8n-nodes-base.airtable - Edit Fields (Set)
n8n-nodes-base.set - Split Out
n8n-nodes-base.splitOut - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Aggregate
n8n-nodes-base.aggregate - Merge
n8n-nodes-base.merge - HTTP Request
n8n-nodes-base.httpRequest - Switch
n8n-nodes-base.switch - Google Gemini
@n8n/n8n-nodes-langchain.googleGemini - Extract from File
n8n-nodes-base.extractFromFile
From the author
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…