Create high quality UGC images with Nano Banana (Cheaper & Faster)
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 11 nodes and runs on Google Drive events (file created). Along the way it connects Mistral Cloud Chat Model and Google Drive. It also calls fal.run over HTTP.
How it runs
Trigger: On Google Drive events (file created).
- Setup (Edit Fields (Set)): sets 1 field: FalAPIKey
- Generate Prompts (Basic LLM Chain): sends a prompt to an LLM, with model: Mistral Cloud Chat Model; output parser: Structured Output Parser
- Split Out: splits a list into separate items
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Generate Image (HTTP Request): calls fal.run (POST)
- Retrieve Image (HTTP Request): calls an HTTP API
- Upload file (Google Drive): uses Google Drive
Services it uses
HTTP calls to: fal.run
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 (10)
- Mistral Cloud Chat Model
@n8n/n8n-nodes-langchain.lmChatMistralCloud - HTTP Request
n8n-nodes-base.httpRequest - Google Drive Trigger
n8n-nodes-base.googleDriveTrigger - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Google Drive
n8n-nodes-base.googleDrive - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - No Operation, do nothing
n8n-nodes-base.noOp - Edit Fields (Set)
n8n-nodes-base.set - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Split Out
n8n-nodes-base.splitOut
From the author
Who’s it for? - Content Creators - E-commerce Stores - Marketing Team Description: Generate unique UGC images for your products. Simply upload a product image into a Google Drive folder, and the workflow will instantly generate 50 unique, high-quality AI UGC…