2,078 fashn.ai

Overview

Socials:

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.

Releases

FASHN Virtual Try-OnInitial

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Initial release

November 9, 2024

Dan Bochman

wrote:

Initial release of FASHN Virtual Try-On.

Dan Bochman

@danbochman

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1 tool

Beginner

Joined: September 2024

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$9/month

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Virtual try-ons FASHN Virtual Try-On

Virtual try-ons

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Hi, this is Zeeshaan, co-founder of The Influencer AI. Virtual try on technology has recently taken a massive jump with new core models, and we wanted to let people to see what it's like for themselves. I think this could be genuinely value-creating, and just enable things that weren't possible before. Open to all feedback. Appreciate the community!

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I've always been skeptical about how clothes will actually look on me when shopping online. This extension completely eliminates that guesswork by allowing me to see the outfits on my own image within different background!! It's incredibly convenient and practical, enhancing the online shopping experience immensely. Plus, it's completely free! I highly recommend giving it a try.

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Average from 11 ratings.

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Comments(3)

Divya Bhushan Singh

🙏 1 karma

Jul 17, 2025

@ initial release

Rated it

@FASHN Virtual Try-On

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

1 Reply Share Delete Report

Magnus

🙏 268 karma

Nov 11, 2024

@ initial release

Rated it

@FASHN Virtual Try-On

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!

116 Reply Share Delete Report

Teaching f

🙏 2 karma

Nov 9, 2024

@ initial release

Rated it

@FASHN Virtual Try-On

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

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Pros and 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

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

View 17 more pros

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

May not integrate with all platforms

Dependency on high-resolution images

View 5 more cons

Included in lists

Digital Clothes

Teresa Hanaan

Fashion

4355

Gee Ehm

Q&A

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.

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FASHN Virtual Try-On

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Dan Bochman

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