AI try-ons

FASHN Virtual Try-On ✓

Change the clothes in any model photo using another reference image

Source rating 4.3 (12) 16k views 136 saves 3 comments Paid
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Verdict

A quick read before you dig into the full page.

Best if
You are agencies and need: Agencies can re-use on-model photos by trying on more clothes or changing the model
Skip if
May struggle with complex patterns
Pick this when
Image-based generative models

Considering Virtual Try On by The Influencer AI instead? Compare side by side

Overview

Change the clothes in any model photo using another reference image with pixel-perfect accuracy. Available for commercial use through a user-friendly web app or developer API.

FASHN is a self-funded, AI-first company focused on researching image-based generative models tailored for the fashion industry.

Our virtual try-on solution is built from the ground up, and carefully designed to meet the high standards brands expect when showcasing their collections.

Featuring:
⚡️ Lightning fast generation (~11 seconds per image)
🏞️ 576x864 output resolution
🙌 15 free generations upon signing up
🏦 Available for commercial use

How it works 👇
- Upload one image of yourself, a model, or an AI model (you can create that with our app)
- Upload one image of the garment (top, bottom, full-body)
- Choose the type, whether it's a flat lay photo or taken from another model
- Run and get the result! You can download the image and we're also creating a public link for you that you can use anywhere.

Our products:

🖥️ Web App
Our app offers a user-friendly interface that runs our virtual try-on solution behind the scenes, allowing you to easily create fashion photoshoots with a click of a button.

🌐 API
Build on top of FASHN by integrating our virtual try-on API into your own website or app.

Since we started, we've had one rule: Get the garment details spot-on before going big on resolution. Our latest release (576x864) sticks to that game plan.

We're definitely heading towards even larger, higher-res images, but we promise, we won't let the clothes lose their real look. We know how much this matters to fashion brands, and we're all-in to meet those high expectations.
FASHN Virtual Try-On website

Best for

Short scenarios where FASHN Virtual Try-On tends to shine.

  • Agencies can re-use on-model photos by trying on more clothes or changing the model.

    Best for Agencies

  • Fashion startups can generate realistic AI models and create on-model photos from product images.

    Best for Fashion Startups

  • Designers can use mockup tools to visualize designs.

    Best for Designers

  • Developers can integrate the virtual try-on API into their apps or websites.

    Best for Creators

Example outputs 1

Sample generations and before/after results for FASHN Virtual Try-On.

Access & connections

Where you can use FASHN Virtual Try-On.

Platforms

Web

Pros & cons

Pros

  • Image-based generative models
  • Virtual try-on solution
  • Detailed garment representation
  • High accuracy levels
  • Promotes flexibility
  • Efficient with varied poses
  • Background preservation
  • Web application delivery
Show 14 more
  • API integration options
  • Adaptable to evolving demands
  • Tailored for fashion industry
  • Assists in visual showcasing
  • Aims to meet high standards
  • Preserves garment detailing
  • Pixel-perfect features
  • Versatile pose input
  • Ease of accessibility
  • Enhanced customer experience
  • Facilitates online retail
  • Ecommerce compatible
  • Web-based accessibility
  • Community support via Discord

Cons

  • Limited to fashion industry
  • Potentially inaccurate garment replication
  • Dependent on image quality
  • Unclear about offline capabilities
  • May struggle with complex patterns
  • No information on speed/performance
  • Unclear update and maintenance procedures
  • No mentioned multi-user collaboration features
Show 2 more
  • May not integrate with all platforms
  • Dependency on high-resolution images

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Releases 1

Initial release November 9, 2024 Current
Initial release of FASHN Virtual Try-On.

Imported reviews 3

5★
9
4★
0
3★
1
2★
1
1★
1
Divya Bhushan Singh Jul 17, 2025 v@ initial release

Poor quality. Good for fun. Not usable at all. I have picture I can’t attach here.

Magnus Nov 11, 2024 v@ initial release

Give it a try on the web app and be amazed by the results. The AI image processing is outstanding, and the intuitive flow makes it a pleasure to use. Highly recommended for anyone looking for a seamless and impressive experience!

Teaching f Nov 9, 2024 v@ initial release

love it, the team seems super active and it's my go-to when shopping around. IMO probably the best try-on solution for preserving the details on the clothes

FAQ 11

Do you have a free trial?
Dan Bochman
🛠️ 1
tool
wrote:
Yes, upon signing up for our platform, you receive 15 free credits to use with our interface.
Is your virtual try-on model fine-tuned from Stable Diffusion or FLUX?
Dan Bochman
🛠️ 1
tool
wrote:
No, while we took some inspiration from modern model architectures, our model has a unique design and is trained from scratch on an internal dataset comprising millions of fashion-related images, meticulously labeled for clothes transfer tasks.
How accurate are the results?
Dan Bochman
🛠️ 1
tool
wrote:
Our solution frequently achieves pixel-perfect, accurate transfers, capturing intricate details. However, due to the inherent randomness of the method and biases in the dataset, some generations may not succeed on the first attempt and could require further tries to achieve satisfactory results.
Is the FASHN web app or API available for commercial use?
Dan Bochman
🛠️ 1
tool
wrote:
Yes, you can use the images generated on the app or the API for commercial use.
Are you able to fit clothes accurately on all body shapes and sizes?
Dan Bochman
🛠️ 1
tool
wrote:
Yes, our solution supports fitting clothes on a wide range of body types; However, we do not know the actual dimensions of either the person or garment while fitting, so it is up to the user to ensure the right size (e.g. S, M, L) is being used.
What is the output image resolution?
Dan Bochman
🛠️ 1
tool
wrote:
The current maximum output resolution is 576x864 pixels. We are continuously working on achieving higher output resolutions, without compromising on accuracy and resemblance to the original garment.
What type of clothing categories are supported?
Dan Bochman
🛠️ 1
tool
wrote:
We support most garments categories such as tops, bottoms, dresses, outerwear, etc., notable exclusions are swimsuits and lingerie, which we opted to keep out of our training dataset to ensure safe image generations.
Why are accessories and shoes not supported?
Dan Bochman
🛠️ 1
tool
wrote:
The model does not support virtual try-on of accessories like jewelry, scarves, or hats; These items require different rendering techniques due to their varied shapes and placement on the body. Shoes are not supported since footwear requires more view perspectives, as opposed to clothing that can be captured reasonably well from a single reference image.
Do you support layering clothes? (e.g. fit an open jacket on a t-shirt)
Dan Bochman
🛠️ 1
tool
wrote:
This is a highly requested feature, and we are currently researching how to enable it.
Can you fit tops and bottoms together?
Dan Bochman
🛠️ 1
tool
wrote:
No, with our model, it is faster and more accurate to simply run the model twice, compared to enabling tops and bottoms in one go.
Will it work on kids?
Dan Bochman
🛠️ 1
tool
wrote:
For legal reasons, we do not include any photos featuring minors in our dataset. Thus, our virtual try-ons capabilities on such subjects is expected to be limited. Please read our terms of use regarding the use of minor photos in our service.
FASHN Virtual Try-On from $9/mo