This template listens for Telegram bot messages, checks that user's daily quota in Google Sheets, asks ChatGPT to tighten the prompt, generates a still with OpenAI Image Generation, and sends the photo back in the same chat. Each successful run is logged in the sheet. Put the bot token on the Telegram connection. ChatGPT and image generation are Latenode AI steps, so you do not paste an OpenAI key.
Latenode bills workflow runtime in CPU seconds. The first 10,000 CPU seconds are free each month, then usage follows pay-as-you-go CPU-second pricing. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.
Full pricing — how CPU seconds work →Workflow preview
The scenario starts when the bot receives a text message. JavaScript reads that prompt and the user id.
Google Sheets holds the usage log. JavaScript counts today's rows for that user and stops the run when the cap is reached.
ChatGPT turns the message into a clear image prompt. ChatGPT is Latenode AI, so you do not paste an OpenAI key.
OpenAI Image Generation renders a still picture from that prompt.
Telegram sends the file back to the same chat. Google Sheets adds a row with user, date, prompt, and image URL.
Add a Telegram connection with your bot token. Add the bot to the chat that will send prompts.
Add a Google Sheets connection. Use a tab with columns for user id, date, prompt, and result URL. Set the daily cap in JavaScript, then count today's rows for that user before generating.
Read the Telegram text in JavaScript. Ask ChatGPT to rewrite it as an image prompt, then generate the picture with OpenAI Image Generation. ChatGPT and image generation are Latenode AI nodes.
Send the generated file as a Telegram photo. Map the chat id from the trigger. Add a Google Sheets row for the run. Send a test prompt and confirm the picture returns in chat.
FAQ
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