Instant Upgrade to Your Print on Demand Shop: Create Unique On-Model Photos for Your Products

Introduction

Print on demand (POD) services like Printful make it easy for anyone to design and sell custom products without the hassle of managing inventory or covering upfront costs. However, one key challenge POD sellers face is creating engaging, unique product photos that truly showcase their brand’s personality. 

Most POD platforms provide basic mockups, and while some even offer on-model simulations, the options are limited to a small set of stock model photos. As a result, many stores end up with similar-looking images, making it obvious that the product photos come from the same platform. The good news? Innovative tools like FASHN AI allow you to transform these standard mockups into custom, branded photos. With FASHN AI, you can choose your own models, backgrounds, and styles to create product images that truly reflect your brand and stand out from the competition.

T-shirt mockup photos rendered by Printful

Virtual Try-On for Clothing

Virtual try-on technology, powered by generative AI, enables the creation of hyper-realistic images by mapping products onto digital models in lifelike settings. Diffusion models refine this process, enhancing image quality step-by-step to produce sharp, realistic visuals that appear as if they were captured in a professional studio.

While most people associate this technology with “virtual fitting rooms” that let customers try on clothes digitally, it’s also an effective content creation tool for e-commerce. POD sellers, who often don’t have physical access to their inventory, can leverage virtual try-on to generate diverse, high-quality product images tailored to their brand.

AI Photography with FASHN Virtual Try-On

Let’s explore how you can create on-model photos from existing images you already have from your POD platform.

1. Generate Initial Mockups

Start by creating mockups for your clothing items on your POD platform. Once you have these mockups, sign up for the FASHN AI web app and head to the Studio to start your virtual photoshoot.

2. Choose or Generate a Model

In FASHN AI, you can choose the ideal model to display your products in your shop. If you already have a model photo, you can upload it directly, or you can generate one on the spot using prompts.

AI model generation examples in the FASHN web app, with corresponding prompts

3. Apply the Mockup to the Model

Now that you have selected your model, you can add the mockup image from your POD platform. For the most realistic fit, try using an image of someone wearing the garment, if available. This will provide the most lifelike result.

Screenshot of the FASHN try-on studio using another person as a reference image for virtual try-on

4. Using Flat Lay Images

If you only have a flat lay image (without a model), that’s no problem! FASHN AI offers an option to select “Flat Lay” under the “Photo Type”. This feature works well for common garments and fits.

Screenshot of the FASHN try-on studio using a flat lay photo as a reference image for virtual try-on

Results: High-Resolution, Realistic On-Model Photos

After these simple steps, you’ll have high-resolution, realistic images that showcase your products on models, making them much more engaging than generic mockups. These photos can replace standard mockups on your website and will help your brand stand out.

Virtual Try-On Results

See It in Action

Check out our official shop to see how it looks like in an actual e-commerce store - shop.fashn.ai

Closing Words

In today’s competitive e-commerce world, having product photos that stand out is key. With tools like FASHN AI, print-on-demand sellers can easily move beyond generic mockups and create on-brand, custom images that really show off their products. Virtual try-on technology helps give your store a fresh, unique look that customers will remember. Start experimenting with these custom images to make a lasting impression — and give your products the spotlight they deserve.

Sign up now to try the FASHN platform for free!

* p.s. You can also integrate our solution into your own apps with our virtual try-on API for clothing