clad.you

What It Is

Clad is not just a typical “outfit image generator.” Its core idea is to first create a reusable 3D body model: users can generate a body mesh and measurement data in about one minute using either a single photo or answers to 8 questions. This can then be used for size-aware virtual try-on, custom clothing, social fitting rooms, body composition tracking, and developer APIs.

Core Capabilities

Its key differentiator is physical accuracy. Clad explicitly criticizes diffusion-based virtual try-on for only producing images that “look plausible” but cannot answer whether M or L fits better. Instead, it uses real body proportions, actual garment patterns, and fabric properties for 3D physics simulation, showing tightness, drape, pulling, and differences between sizes. Technically, the photo-based pipeline uses SAM 3D Body/MHR and converts the result to Anny; the questionnaire-based pipeline uses a small MLP to predict Anny parameters. The API can output a GLB mesh and 24 ISO 8559-1 measurements.

Pricing and Integration

The official website does not publish a complete pricing table. The developer API is marked as having a free tier and requiring no credit card; retail and brand integrations require contacting the company. Blog posts only disclose underlying costs: photo reconstruction currently costs about $0.09 per run, with optimization bringing it down to about $0.03–0.04; the questionnaire pipeline costs under $0.01; and garment physics draping costs about $0.01 per run. This suggests a relatively lightweight cost structure, but it should not be treated as actual end-user pricing.

Pros and Cons

The strengths are a clear product direction, relatively transparent technical disclosure, and coverage of high-value scenarios such as plus-size users, pregnancy, social decision-making, and B2B return reduction. The dual questionnaire/photo paths also lower the barrier to use. The limitations are also clear: photo reconstruction is affected by pose, lighting, and camera lens; early real-user tests showed BWH errors of about 5–8 cm, with bust measurement being weaker. Accurate try-on also depends on brands providing 3D garment models, patterns, and fabric properties. On privacy, while the main content includes an FAQ heading, it does not go into details on photo and body-data retention, deletion, or training use.

Who It’s For and Access from China

Clad is suitable for online apparel shoppers who care about sizing accuracy, pregnant and plus-size users, custom clothing providers, fashion retailers, and developers who need human body meshes and measurement data. Information on access and payment from China has not been disclosed, so real-world availability is unclear. If access or payment is restricted, alternatives to watch include domestic e-commerce try-on solutions, 3DLOOK, Bold Metrics, FASHN, IDM-VTON, or VTO capabilities from major platforms.