Templates / Generate AI images via Telegram using Gemini & Pollinations

Generate AI images via Telegram using Gemini & Pollinations

Needs changes

by NAZIA AI ACADEMY · 1,989 views · created 2025-07-20 · Content Creation, Multimodal AI

Needs changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.

What 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).

  1. Fields - Set Values (Edit Fields (Set)): sets 4 fields: model, width, height…
  2. AI Agent: runs an AI agent, with model: Google Gemini Chat Model
  3. Code: runs custom JavaScript code
  4. Code: runs custom JavaScript code
  5. Code: runs custom JavaScript code
  6. HTTP Request: calls an HTTP API
  7. Save Image To Disk (Read/Write Files from Disk): writes a file to disk
  8. Telegram: send photo

Services it uses

TelegramGoogle Gemini Chat Model

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 3.0Replace 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)

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…

Excerpt from NAZIA AI ACADEMY's description on n8n.io.

View the original on n8n.io → Check your own copy

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