AI fashion virtual try-on with image & video generation for Telegram, Discord & YouTube

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Important notice

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

1. Workflow Overview

Virtual Try On Image & Video Generation (VLM Run) Overview This n8n workflow enables a Virtual Try On experience where users upload a dress image and the system: Combines it with a fashion mo...

Best for

Content Creation automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, n8n-nodes-base.telegram, n8n-nodes-base.stickynote, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.discord, n8n-nodes-base.wait, @vlm-run/n8n-nodes-vlmrun.vlmrun

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: AI fashion virtual try-on with image & video generation for Telegram, Discord & YouTube
Workflow name: AI fashion virtual try-on with image & video generation for Telegram, Discord & YouTube

🧥 Virtual Try-On Image & Video Generation (VLM Run)

📌 Overview

This n8n workflow enables a Virtual Try-On experience where users upload a dress image and the system:

Combines it with a fashion model image
Generates a realistic try-on image
Generates a fashion walking video
Produces secure pre-signed download URLs
Automatically shares results via:
- Telegram
- Discord
- YouTube

🚀 Use Cases

Virtual fashion try-on
AI fashion marketing
Clothing e-commerce previews
Social media fashion automation
Influencer & brand demo pipelines

✨ Key Features

🖼️ Image-based virtual try-on (model wearing the dress)
🎥 AI-generated fashion video
🔗 Multi-platform publishing (Telegram, Discord, YouTube)
🧩 Modular, extensible workflow design

🧠 Workflow Architecture

🟨 Input

Dress Image – Uploaded by user (Form Trigger)
Model Image – Downloaded from predefined URL
Prompt – Auto-constructed inside workflow

🟦 Output

🖼️ Try-On Image (pre-signed download link)
🎥 Fashion Walk Video (pre-signed download link)
📤 Shared to:
- Telegram (image/video)
- Discord (image embed)
- YouTube (video upload)

🔐 Required Credentials

You must configure the following credentials in n8n:

Service	Credential Type
VLM Run	`VLM Run API`
Telegram	`Telegram Bot API`
Discord	`Discord OAuth2`
YouTube	`YouTube OAuth2`

⚠️ Community Node Warning

> Important: This workflow uses a Community Node > @vlm-run/n8n-nodes-vlmrun

What this means:

This node is NOT installed by default in n8n
You must manually install it before using the workflow

📦 Installation

Run the following command in your n8n environment:

npm install @vlm-run/n8n-nodes-vlmrun

Then restart n8n.

📖 Community Nodes Documentation: https://docs.n8n.io/integrations/community-nodes/

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 - Sticky Note

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

Block 4 - Sticky Note1

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

Block 5 - Sticky Note2

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

Block 6 - Download Image

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

Block 7 - Sticky Note3

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

Block 8 - Sticky Note4

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

Block 9 - Give Prompt

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 10 - Sticky Note7

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

Block 11 - Sticky Note5

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

Block 12 - Send to Discord

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

Block 13 - Wait

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 14 - Set Mapping

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 15 - Upload Model Image

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

Block 16 - Download Model Image

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

Block 17 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 18 - Aggregate

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

Block 19 - Upload Dress Image

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

Block 20 - Generate Image

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

Block 21 - Generate Video

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

Block 22 - Return Image URL

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

Block 23 - Return Video URL

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

Block 24 - Download Video

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

Showing the first 24 of 26 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	AI fashion virtual try-on with image & video generation for Telegram, Discord & YouTube
Complexity	advanced
Nodes	26
Categories	Content Creation, Multimodal AI
Author	AttenSys AI
Published	24 Dec 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/12115/12115.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 Content Creation workflows Multimodal AI workflows

Frequently asked questions

What does AI fashion virtual try-on with image & video generation for Telegram, Discord & YouTube do?

Virtual Try On Image & Video Generation (VLM Run) Overview This n8n workflow enables a Virtual Try On experience where users upload a dress image and the system: Combines it with a fashion mo...

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 Content Creation, Multimodal AI use case.

AttenSys AI

1 workflow

Nodes

n8n-nodes-base.formtrigger n8n-nodes-base.telegram n8n-nodes-base.stickynote n8n-nodes-base.httprequest n8n-nodes-base.set n8n-nodes-base.discord n8n-nodes-base.wait @vlm-run/n8n-nodes-vlmrun.vlmrun

Complexity

advanced

Published 24 Dec 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/12115/12115.json

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AI fashion virtual try-on with image & video generation for Telegram, Discord & YouTube

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🧥 Virtual Try-On Image & Video Generation (VLM Run)

📌 Overview

🚀 Use Cases

✨ Key Features

🧠 Workflow Architecture

🟨 Input

🟦 Output

🔐 Required Credentials

⚠️ Community Node Warning

What this means:

📦 Installation

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Upload Image

Block 2 - Send Image

Block 3 - Sticky Note

Block 4 - Sticky Note1

Block 5 - Sticky Note2

Block 6 - Download Image

Block 7 - Sticky Note3

Block 8 - Sticky Note4

Block 9 - Give Prompt

Block 10 - Sticky Note7

Block 11 - Sticky Note5

Block 12 - Send to Discord

Block 13 - Wait

Block 14 - Set Mapping

Block 15 - Upload Model Image

Block 16 - Download Model Image

Block 17 - Merge

Block 18 - Aggregate

Block 19 - Upload Dress Image

Block 20 - Generate Image

Block 21 - Generate Video

Block 22 - Return Image URL

Block 23 - Return Video URL

Block 24 - Download Video

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