SegFIT: Segmind Fashion and Immersive Try-on
SegFIT by Segmind is a cutting-edge virtual try-on (VTON) model that enables ultra-realistic clothing visualization on custom fashion models.
Playground

Related Pixelflows
Discover Pixelflow templates that use this model.
Resources to get you started
Everything you need to know to get the most out of SegFIT: Segmind Fashion and Immersive Try-on
SegFIT: Revolutionizing Virtual Try-On Technology
Introduction
SegFIT, developed in-house by Segmind, stands out as a premier virtual try-on (VTON) model, revolutionizing how consumers and retailers approach fashion. This innovative solution allows users to visualize clothing on custom fashion models with remarkable accuracy, making it a one-stop platform for seamless try-on experiences. Whether you're a fashion enthusiast seeking the perfect fit or an e-commerce business aiming to reduce returns, SegFIT delivers unmatched precision and convenience, setting a new standard in virtual try-on technology.
Key Features
What makes SegFIT one of the best VTON models available? Its key features include:
- •High-precision fit visualization
- •Fast processing speeds
- •Compatibility with diverse platforms (web, mobile, and AR)
- •Support for custom fashion models
- •Catering to all body types and clothing styles
- •Scalability and inclusivity
Retailers benefit from happier customers and lower return rates, while shoppers enjoy a confident, hassle-free buying process. SegFIT's advanced fashion technology empowers businesses to stand out in a competitive market.
Use Cases and Impact
From e-commerce to augmented reality shopping, SegFIT's use cases are as versatile as they are impactful:
- •Online stores can integrate this virtual try-on model to enhance product pages
- •Designers can showcase bespoke creations
- •Influencers can engage followers with interactive demos
Backed by Segmind's expertise, SegFIT combines technical excellence—such as 4K resolution support and a swift 60-seconds processing time—with a user-focused design.
Discover how SegFIT transforms the fashion industry and elevates your shopping experience today.
Other Popular Models
Discover other models you might be interested in.
SDXL Img2Img
SDXL Img2Img is used for text-guided image-to-image translation. This model uses the weights from Stable Diffusion to generate new images from an input image using StableDiffusionImg2ImgPipeline from diffusers
Faceswap V2
Take a picture/gif and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training
Stable Diffusion XL 1.0
The SDXL model is the official upgrade to the v1.5 model. The model is released as open-source software
Codeformer
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.