Telegram AI Image Generator Workflow: Chat to OpenAI Prompts

Turn Telegram chat ideas into AI images—instantly

This Telegram AI Image Generator n8n workflow converts a text idea you send in Telegram into structured OpenAI prompts, generates one or more images with an OpenAI image model, and sends the results back to the same Telegram chat—optionally saving copies to Google Drive.

What this workflow does

• Triggers from Telegram when you send a message to your Telegram bot (or via the n8n chat trigger).
• Extracts your prompt and chat ID, then applies your configuration settings (OpenAI models, image size/quality, and the number of variations).
• Uses OpenAI to expand your idea into one or more detailed image-generation prompts.
• Validates prompts with a structured JSON schema to ensure consistent, usable output.
• Splits prompts into separate requests so each variation becomes its own image generation job and a unique file name.
• Generates images for each prompt using your configured OpenAI image model.
• Sends generated images back to Telegram with the prompt used as the photo caption, and optionally uploads to Google Drive.

Use cases

• Creative iteration in Telegram: send a short concept and receive multiple polished visual variations.
• Marketing asset prototyping: turn campaign ideas into image drafts for social posts or landing pages.
• Automation engineers building chat-to-creation tools: integrate Telegram, OpenAI prompting, and image generation end-to-end in n8n.

Technical details

• Nodes / integrations: Telegram trigger + Telegram send, Google Drive, set, split out, and supporting nodes including n8nn8n-nodes-langchainagent (plus a sticky note for flow documentation).
• OpenAI usage: one model for prompt crafting (chat model) and a configured OpenAI image model for generation.
• Configurable outputs: number of variations, image size, quality, and per-image captions using the prompt.

Setup requirements

Create a Telegram bot via @BotFather, add Telegram + OpenAI API credentials in n8n, and configure the text model, image model, and variation count.