Creation of realistic photographs with the client's product

Client's task:
The owner of an online men's suit store wanted to showcase products on real models - without a photo studio, shooting costs, and manual labor. A solution was needed that works quickly and does not require technical knowledge from employees.

Solution:
I developed an automated system based on n8n with a Telegram interface that transforms product photos into ready-made photos of models in suits.

The user simply:
- Sends a product photo
- Adds a desired background
- Chooses a model from 4 options

The system automatically parses the page, uploads images (if the product has a link), analyzes the suit, and sends everything to Gemini. In about 1 minute, 3 realistic photos of the model in the suit are ready, saved in Google Drive.

Result for the business:
The client completely eliminated the photo studio from regular expenses. New products appear in the catalog on the day of arrival, not a week later. The system operates without the involvement of a developer - any employee can manage it in 3 clicks.

Additionally, high-quality visuals in the product card directly influence the purchasing decision: the buyer sees the suit on a real person, not on a mannequin or hanger, which reduces doubts and increases conversion.

Numbers:
The cost of 1 set of 3 photos is approximately $0.75-1 compared to $150–300 for studio shooting.
Budget savings on content - up to 87%
Generation speed - 20-30 seconds per photo
Launching a new product in the catalog - in 2 minutes instead of 5–7 days

Stack:
n8n | Telegram Bot API | GPT-4o Mini | Gemini 3.1-flash-image | Google Drive |
n8n DataTable (storing user data and query history)