Process images with VLM run: Auto segmentation & detection with Drive-Telegram sharing

Name: Process images with VLM run: Auto segmentation & detection with Drive-Telegram sharing
Availability: InStock
Rating: 4.5 (1 reviews)
Author: Mehedi Ahamed

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This workflow automates image processing using VLM Run, extracting signed URLs, downloading results, and distributing them via multiple channels (Google Drive & Telegram).

✅ Key Features

Upload image files through a Form Trigger.
Process images through two VLM Run agents simultaneously:
- Segmentation Agent → extracts objects.
- Detection Agent → generates bounding boxes.
Webhooks capture completed results asynchronously.
Code Node extracts the full signed URL for secure downloading.
Downloaded images are automatically:
- Uploaded to Google Drive
- Sent to a Telegram chat

⚙️ Workflow Flow

User Uploads File → Form Trigger node
VLM Run Agents → Segmentation & Detection agents
Webhook Nodes → Receive processed results
Code Node → Extract signed URLs
Download Node → Retrieve processed images
Distribution Nodes → Upload to Google Drive & Telegram

📌 Notes

Ensure Google Drive OAuth2 credentials have upload permissions.
Telegram Bot token and chat ID must be configured correctly.
Regex in the Code Node is critical for capturing full signed URLs including query parameters.
Workflow allows multi-channel sharing of images automatically.

⚠️ Community Node Disclaimer

> This workflow uses VLM Run node

Mehedi Ahamed

0 workflows

Nodes

set gmail telegram agent google-gemini

Complexity

intermediate

Published 26 Nov 2025

Likes 0

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