Automate Image Description with GROQ LLaVA via Telegram
This workflow leverages the GROQ LLaVA V1.5 7B API to convert images into detailed text descriptions via Telegram. Users can send an image to a Telegram bot and receive a descriptive text response.
This workflow automates the process of describing images by integrating Telegram and the GROQ LLaVA API. Users interact with a Telegram bot to send images, which are then converted to base64 format and processed by the GROQ LLaVA API to generate detailed descriptions. The response is sent back to the user via Telegram, providing an efficient way to interpret visual data.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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