Create AI-generated UGC marketing videos with Telegram & GPT-4
Ready for 3.0What this workflow does
This AI workflow has 26 nodes and runs on Telegram events (message). Along the way it connects OpenAI Chat Model, Telegram and OpenAI. It also calls api.kie.ai and queue.fal.run over HTTP.
How it runs
Trigger: On Telegram events (message).
- Bot ID (Edit Fields (Set)): sets 1 field: bot id
- Get Img Path (HTTP Request): calls an HTTP API
- Describe Img (OpenAI): analyze (image)
- In Progress (Telegram): uses Telegram
- UGC Image AI Agent (AI Agent): runs an AI agent, with model: GPT; 1 tool (Think); output parser: Structured Output
- Create Image (HTTP Request): calls api.kie.ai (POST)
- Wait: waits 60 seconds
- Get Image (HTTP Request): calls an HTTP API
- If: checks a condition and branches into true / false
- UGC Video AI Agent (AI Agent): runs an AI agent, with model: GPT; 1 tool (Think); output parser: Structured Output
…plus 11 more steps. See the full node list below.
Services it uses
HTTP calls to: api.kie.ai, 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 (13)
- Think Tool
@n8n/n8n-nodes-langchain.toolThink - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Split Out
n8n-nodes-base.splitOut - HTTP Request
n8n-nodes-base.httpRequest - Wait
n8n-nodes-base.wait - If
n8n-nodes-base.if - Aggregate
n8n-nodes-base.aggregate - Telegram
n8n-nodes-base.telegram - Telegram Trigger
n8n-nodes-base.telegramTrigger - Edit Fields (Set)
n8n-nodes-base.set - OpenAI
@n8n/n8n-nodes-langchain.openAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
📌 How to Set Up the AI UGC Video Automation System This system uses Telegram + N8N (no-code automation) + AI models to generate user-generated content (UGC) videos automatically. 🔹 Overview Input: Send a photo of the product + character via Telegram bot.…