Generate AI images via Telegram using Gemini & Pollinations
Needs changesWhat this workflow does
This AI workflow has 11 nodes and runs on Telegram events (message) (plus 1 other trigger). Along the way it connects Telegram and Google Gemini Chat Model.
How it runs
Trigger: On Telegram events (message) (plus 1 other trigger).
- Fields - Set Values (Edit Fields (Set)): sets 4 fields: model, width, height…
- AI Agent: runs an AI agent, with model: Google Gemini Chat Model
- Code: runs custom JavaScript code
- Code: runs custom JavaScript code
- Code: runs custom JavaScript code
- HTTP Request: calls an HTTP API
- Save Image To Disk (Read/Write Files from Disk): writes a file to disk
- Telegram: send photo
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 - Create Image From Prompt (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 - Create Image From Prompt (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (9)
- Edit Fields (Set)
n8n-nodes-base.set - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Code
n8n-nodes-base.code - HTTP Request
n8n-nodes-base.httpRequest - Telegram Trigger
n8n-nodes-base.telegramTrigger - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - AI Agent
@n8n/n8n-nodes-langchain.agent - Telegram
n8n-nodes-base.telegram - Read/Write Files from Disk
n8n-nodes-base.readWriteFile
From the author
How it works This workflow lets users generate AI images directly from Telegram messages using: Google Gemini API – to convert text to detailed, high-quality image prompts. Pollinations API – to generate free AI images from the prompts. Telegram Bot – to…