🔬 Process Image Auto segmentation & Detection with VLM Run, Drive-Telegram Sharing
⚡ 36 views · 🔬 Document Extraction & Analysis
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
Webhook, Telegram, Google Drive, n8n Form Trigger
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File