Process Images with VLM Run: Auto Segmentation & Detection with Drive-Telegram Sharing

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

1. User Uploads File → Form Trigger node
2. VLM Run Agents → Segmentation & Detection agents
3. Webhook Nodes → Receive processed results
4. Code Node → Extract signed URLs
5. Download Node → Retrieve processed images
6. 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