TryOn Labs
TryOn Labs builds TryOn AI, a fashion-AI platform that lets brands and developers create virtual try-ons, fashion models, product imagery, edits and short videos without a traditional studio. Its stated goal is to reduce the cost and complexity of fashion catalog production while improving online shopping experiences.
At a Glance
- Fashion brands and retailers
- Online apparel stores and D2C fashion brands
- Fashion-tech developers and startups
- E-commerce companies
- +1 more
AI Tools by TryOn Labs
(1)
OpenTryOn
Open Source Virtual Try-On Toolkit
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Latest News
OpenTryOn v0.0.8 released with body measurement, FLUX 3 Image Klein/Video, lip-sync, 3D generation and expanded understand/decide/embed capabilities.
OpenTryOn v0.0.7 released with FASHN catalog endpoints, fashion-specific models and the classify service.
OpenTryOn v0.0.6 released with decide and embed services and a major model-registry expansion.
OpenTryOn v0.0.5 released with first-party/local virtual try-on, newer image and video models, NVIDIA NIM, Hy3/Qwen-Image/Wan 3.0 support and a planner.
Products & Services
Browser-based fashion-AI workspace offering virtual try-on, model swap, model generation, reimagine, image generation, image-to-video, background removal/change, enhancement and Studio editing.
Production REST APIs for virtual try-on, model swap, model creation, product-on-model imagery, image generation/editing and short-video generation, authenticated with bearer tokens and priced by credits/API usage.
Open-source toolkit for fashion and virtual-try-on AI with a registry-driven CLI, MCP server, TryOn Studio and Python APIs. The v0.0.8 documentation describes 163 models across 13 services, including virtual try-on, image generation/editing, understanding, video, background removal, text-to-speech, classification, decisions, embeddings, measurement, audio-to-video and 3D generation.
Early-development multi-agent conversational virtual try-on concept that builds a shopper avatar, runs try-on and returns fit, size and style guidance for clothing, jewelry and accessories.
Market Position
TryOn Labs positions TryOn AI as a fashion-specialized alternative to general-purpose image-generation tooling and traditional studio production: it combines virtual try-on, model generation/swap, catalog imagery, editing and video in one playground and API. OpenTryOn differentiates the company on openness and breadth by unifying hosted providers and local/open models through one CLI, MCP server, Studio and Python interface. Relevant competitive categories include FASHN, Photoroom, Google Vertex AI virtual try-on, Adobe/Photoshop generative tools and other virtual-fitting-room vendors.
Leadership
Founders
Kailash Ahirwar
Co-founder and CEO of TryOn Labs; an AI entrepreneur, computer-vision/AI researcher and author of 'Generative Adversarial Networks Projects'. Public profiles also describe previous co-founder roles at Raven Protocol and Mate Labs, and identify him as the maintainer behind the TryOn Labs GitHub organization.
Executive Team
Kailash Ahirwar
Co-founder & CEO
AI entrepreneur and researcher focused on computer vision, generative AI and fashion technology; previously associated with Raven Protocol and Mate Labs and author of AI/ML educational material.
Founding Story
TryOn Labs was founded to help online apparel stores and D2C fashion brands replace expensive photographer, model and studio work with generative-AI virtual try-on and cataloging. The initial vision was to make apparel catalogs more affordable and improve the shopper's ability to visualize products online.
Business Model
Revenue Model
Credit-based pay-per-use access for the playground and APIs; the developer offering also advertises a pay-per-API-call model with no monthly commitment, plus custom enterprise pricing with volume discounts, dedicated support, SLAs and integrations.
Pricing Tiers
New accounts can start with 100 credits.
Examples on the pricing page: one-garment virtual try-on 60 credits at 2K or 75 at 4K; fashion model 60 credits per image; generation/editing 27 credits per 2K image; background removal 4 credits; 8-second 1080p video 640 credits.
For high-volume applications; includes volume discounts, dedicated support, SLA guarantees and custom integrations.
Target Markets
- Fashion brands and retailers
- Online apparel stores and D2C fashion brands
- Fashion-tech developers and startups
- E-commerce companies
- Individuals needing fashion-AI image services
- Virtual fitting and apparel visualization for online shoppers
- Fashion catalog and product-on-model image production
- D2C and retail product photography without booking a studio
- Social-media and campaign content creation, including short product videos
- Fashion-app development through APIs and SDKs
- Garment preprocessing, background cleanup, image enhancement and catalog tagging