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

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 im...

Best for

Document Extraction automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, n8n-nodes-base.telegram, n8n-nodes-base.googledrive, n8n-nodes-base.stickynote, n8n-nodes-base.code, @vlm-run/n8n-nodes-vlmrun.vlmrun, n8n-nodes-base.httprequest, n8n-nodes-base.webhook

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Mehedi Ahamed.

Original n8n.io source

1.1 Workflow description

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

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

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Upload Image

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.2

Block 2 - Send Image

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 3 - Upload File

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 4 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Code

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 7 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - VLM Run (Segmentation)

Type / Role: @vlm-run/n8n-nodes-vlmrun.vlmRun - vlmRun
Config choices: Version 1

Block 9 - VLM Run (Detection)

Type / Role: @vlm-run/n8n-nodes-vlmrun.vlmRun - vlmRun
Config choices: Version 1

Block 10 - Download Image

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 11 - Webhook for Segmented Image

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

Block 12 - Webhook for Detected Image

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

Block 13 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Process images with VLM run: Auto segmentation & detection with Drive-Telegram sharing
Complexity	intermediate
Nodes	14
Categories	Document Extraction, Multimodal AI
Author	Mehedi Ahamed
Published	26 Nov 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/11246/11246.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows Multimodal AI workflows

Frequently asked questions

What does Process images with VLM run: Auto segmentation & detection with Drive-Telegram sharing do?

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 im...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, Multimodal AI use case.

Mehedi Ahamed

3 workflows

Nodes

n8n-nodes-base.formtrigger n8n-nodes-base.telegram n8n-nodes-base.googledrive n8n-nodes-base.stickynote n8n-nodes-base.code @vlm-run/n8n-nodes-vlmrun.vlmrun n8n-nodes-base.httprequest n8n-nodes-base.webhook

Complexity

intermediate

Published 26 Nov 2025

Likes 0

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Install path: /data/workflows/11246/11246.json

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

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

✅ Key Features

⚙️ Workflow Flow

📌 Notes

⚠️ Community Node Disclaimer

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Upload Image

Block 2 - Send Image

Block 3 - Upload File

Block 4 - Sticky Note

Block 5 - Sticky Note1

Block 6 - Code

Block 7 - Sticky Note2

Block 8 - VLM Run (Segmentation)

Block 9 - VLM Run (Detection)

Block 10 - Download Image

Block 11 - Webhook for Segmented Image

Block 12 - Webhook for Detected Image

Block 13 - Sticky Note3

Block 14 - Sticky Note4

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions