Generate fashion model product ads with Gemini AI via OpenRouter

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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 is a user friendly tool that automates the creation of high quality advertising images for products. It takes a simple product image uploaded by a user and uses AI to transform it int...

Best for

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

Tools used

n8n-nodes-base.formtrigger, n8n-nodes-base.set, n8n-nodes-base.converttofile, n8n-nodes-base.extractfromfile, n8n-nodes-base.code, n8n-nodes-base.form, n8n-nodes-base.httprequest, n8n-nodes-base.stickynote

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Generate fashion model product ads with Gemini AI via OpenRouter
Workflow name: Generate fashion model product ads with Gemini AI via OpenRouter

This workflow is a user-friendly tool that automates the creation of high-quality advertising images for products. It takes a simple product image uploaded by a user and uses AI to transform it into a professional, photorealistic advertisement featuring a fashion model actively using the product. The final image is then made available for the user to download.

Step-by-Step Breakdown: Here is a breakdown of the automated process:

Form Submission: The workflow is triggered by a public form. The user uploads a product image and selects a character model (male or female) from a dropdown menu.

Image Processing: The uploaded image file is extracted and prepared for the AI. This includes converting the binary file data into a format that the AI model can understand.

AI Image Generation: An HTTP request is sent to a large language model (Google's Gemini via OpenRouter). The request includes a prompt that combines the user's selected character model and the uploaded product image. The AI is instructed to generate a new, photorealistic image of the model using the product.

Data Conversion: The AI's output, which is a base64 encoded image string, is then processed. The workflow separates the image data from its metadata.

Final Image Delivery: The base64 data is converted back into a binary file, which is then provided to the user for automatic download via a completion form.

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 - On form submission

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

Block 2 - Edit Fields

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

Block 3 - Convert to File

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

Block 4 - Extract from File

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

Block 5 - Code

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

Block 6 - Form

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

Block 7 - Nano 🍌

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

Block 8 - Sticky Note

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

Block 9 - Sticky Note1

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

Block 10 - Sticky Note3

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

3. Summary Table

Workflow	Generate fashion model product ads with Gemini AI via OpenRouter
Complexity	intermediate
Nodes	10
Categories	Content Creation, Multimodal AI
Author	Zakwan
Published	02 Sept 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/8193/8193.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 Generate fashion model product ads with Gemini AI via OpenRouter do?

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.

Zakwan

5 workflows

Nodes

n8n-nodes-base.formtrigger n8n-nodes-base.set n8n-nodes-base.converttofile n8n-nodes-base.extractfromfile n8n-nodes-base.code n8n-nodes-base.form n8n-nodes-base.httprequest n8n-nodes-base.stickynote

Complexity

intermediate

Published 02 Sept 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/8193/8193.json

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Generate fashion model product ads with Gemini AI via OpenRouter

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - On form submission

Block 2 - Edit Fields

Block 3 - Convert to File

Block 4 - Extract from File

Block 5 - Code

Block 6 - Form

Block 7 - Nano 🍌

Block 8 - Sticky Note

Block 9 - Sticky Note1

Block 10 - Sticky Note3

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