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

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Built by Mehedi Ahamed Mehedi Ahamed
Created on June 15, 2026

Description

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.
Arifact Node** download the images.
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
Artifact Node → Download the artifacts
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.
Workflow allows multi-channel sharing of images automatically.

⚠️ Community Node Disclaimer

> This workflow uses VLM Run node


Nodes Used (2)

Google Drive
n8n-nodes-base.googleDrive
Telegram
n8n-nodes-base.telegram