AI-powered body measurement & clothing size estimator from image with Fal.ai
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 13 nodes and runs when an HTTP GET request hits its webhook URL (plus 1 other trigger). Along the way it connects Gmail and OpenAI Chat Model. It also calls queue.fal.run over HTTP.
How it runs
Trigger: When an HTTP GET request hits its webhook URL (plus 1 other trigger).
- Send image to estimator (HTTP Request): calls queue.fal.run (POST)
- Wait: waits 10 seconds
- Get status (HTTP Request): calls an HTTP API
- Completed? (If): checks a condition and branches into true / false
- Get result (HTTP Request): calls an HTTP API
- Form (n8n Form): shows the next form page
- Respond to Webhook: sends the response back to the webhook caller
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Send a message (Gmail): uses Gmail
Services it uses
HTTP calls to: queue.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 (11)
- n8n Form Trigger
n8n-nodes-base.formTrigger - HTTP Request
n8n-nodes-base.httpRequest - If
n8n-nodes-base.if - n8n Form
n8n-nodes-base.form - Wait
n8n-nodes-base.wait - Webhook
n8n-nodes-base.webhook - Respond to Webhook
n8n-nodes-base.respondToWebhook - Gmail
n8n-nodes-base.gmail - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
This workflow automates the process of estimating a person’s fashion size from an uploaded image using an AI model. This workflow is an automated pipeline that uses an AI model to estimate a person's body measurements and clothing size from an image URL. ---…