GROQ LLAVA V1.5 7B

For GROQ LLAVA V1.5 7B, automate image analysis by sending images via Telegram. This workflow converts images to base64, queries the GROQ API for detailed descriptions, and returns results directly in your chat. Enhance communication and streamline image processing effortlessly.

7/8/2025
8 nodes
Medium
manualmediumtelegramtriggertelegramextractfromfilesticky notecommunicationbotapiintegrationfilesstorage
Categories:
Communication & MessagingManual TriggeredMedium Workflow
Integrations:
TelegramTriggerTelegramExtractFromFileSticky Note

Target Audience

Target Audience


- Developers: Those who want to automate interactions with Telegram bots.
- Businesses: Companies looking to integrate image processing capabilities into their customer service or marketing strategies.
- Content Creators: Individuals who need to generate descriptions for images quickly and efficiently.
- Data Analysts: Professionals who require automated workflows to process and analyze image data.

Problem Solved

Problem Solved


This workflow addresses the challenge of obtaining detailed descriptions of images sent via Telegram. It allows users to automate the process of receiving an image, converting it to base64, and sending it to the GROQ API for analysis, thereby saving time and effort in manual descriptions.

Workflow Steps

Workflow Steps


1. Telegram Trigger: The workflow begins when a user sends an image to the Telegram bot.
2. Receive the File: The bot retrieves the image file sent by the user.
3. Convert the Image File to Base64: The image is converted to base64 format, which is required for the next step.
4. HTTP Request to GROQ LLAVA: The base64 image is sent to the GROQ API along with a request for a detailed description of the image.
5. Get Only the Text: The response from the GROQ API is processed to extract the description text.
6. Telegram Send the Text: Finally, the description is sent back to the user in the Telegram chat.

Customization Guide

Customization Guide


- Change the Image Prompt: Modify the text in the HTTP Request GROQ LLAVA node to customize the prompt sent to the GROQ API.
- Update Telegram Bot Credentials: Ensure to input your own Telegram Bot API token in the Telegram send the text and Receive the File nodes.
- Modify the Workflow Logic: Add or remove nodes to adapt the workflow to other use cases, such as integrating with different APIs or adding additional processing steps.
- Handle Different File Types: Adjust the Receive the File node to accommodate other types of files if necessary, ensuring they are processed correctly.