Generate Shopify product images using AI Agent and deAPI
Needs changesWhat this workflow does
This AI workflow has 9 nodes and runs on Shopify events. Along the way it connects Shopify, Anthropic Chat Model and Deapi (community).
How it runs
Trigger: On Shopify events.
- Edit Fields (Edit Fields (Set)): sets 2 fields: category, tags
- AI Agent: runs an AI agent, with model: Anthropic Chat Model; 1 tool (Image prompt booster in deAPI); output parser: Structured Output Parser
- Deapi: uses Deapi
- Deapi: remove background
- Shopify: update (product)
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (8)
- Shopify Trigger
n8n-nodes-base.shopifyTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Deapi
n8n-nodes-deapi.deapi - Shopify
n8n-nodes-base.shopify - Deapi Tool
n8n-nodes-deapi.deapiTool - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Edit Fields (Set)
n8n-nodes-base.set
From the author
Who is this for? - E-commerce store owners using Shopify - Product managers who need consistent product imagery - Marketing teams looking to automate visual content creation - Dropshipping businesses needing quick product photos What problem does this solve?…