Transform product photos into ad campaigns with Gemini Vision and Claude via Telegram
Ready for 3.0What this workflow does
This AI workflow has 17 nodes and runs on Telegram events (message). Along the way it connects Telegram, Google Gemini and OpenRouter Chat Model. It also calls generativelanguage.googleapis.com over HTTP.
How it runs
Trigger: On Telegram events (message).
- CONFIG (Edit Fields (Set)): sets 1 field: authorized_user_id
- Auth: Verify User ID (If): checks a condition and branches into true / false
- Check: Has Photo? (If): checks a condition and branches into true / false
- Get Photo File Path (Telegram): work with file
- Gemini Vision: Analyze (Google Gemini): analyze (image)
- Creative Agent (AI Agent): runs an AI agent, with model: OpenRouter Chat Model; 1 tool (Think Tool); output parser: Structured Output Parser
- Loop: Ad Variations (Split Out): splits a list into separate items
- Config: Source URL (Edit Fields (Set)): sets 1 field: input_url
- HTTP: Download Source (HTTP Request): calls an HTTP API
- Data: Binary Prep (Extract from File): extracts data from a file (binary to propery)
…plus 3 more steps. See the full node list below.
Services it uses
HTTP calls to: generativelanguage.googleapis.com
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)
- Edit Fields (Set)
n8n-nodes-base.set - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Think Tool
@n8n/n8n-nodes-langchain.toolThink - Telegram Trigger
n8n-nodes-base.telegramTrigger - If
n8n-nodes-base.if - Telegram
n8n-nodes-base.telegram - Google Gemini
@n8n/n8n-nodes-langchain.googleGemini - AI Agent
@n8n/n8n-nodes-langchain.agent - Split Out
n8n-nodes-base.splitOut - HTTP Request
n8n-nodes-base.httpRequest - Extract from File
n8n-nodes-base.extractFromFile - Convert to File
n8n-nodes-base.convertToFile - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter
From the author
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