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Vimmerse Virtual Try-On
Vimmerse Virtual Try-On is a paid API for AI agents from agents.vimmerse.net, paid per call via MPP, $0.24/call (dynamic — varies by input), status unknown (last checked 2026-10-30).
Composites clothing from a clothes image URL onto a person in a human image URL to produce a virtual try-on result.
Price / call$0.24varies by input
Success—
StatusUnknown
How this service works
Virtual try-on: composites clothing from **`clothes_image_url`** onto the person in **`human_image_url`**. ### Example ```python import requests url = "https://api.vimmerse.net/v2/image/try-on" headers = { "X-Api-Key": "YOUR_API_KEY", "Content-Type": "application/json", } payload = { "human_image_url": "https://media.vimmerse.net/example/model.png", "clothes_image_url": "https://media.vimmerse.net/example/jacket.png", "option": "NanoBananaTryOn", } response = requests.post(url, headers=headers, json=payload, timeout=300) response.raise_for_status() print(response.json()["results"]) ```
Output
A JSON object containing a 'results' field with the URL or data of the composited try-on image showing the specified clothing on the person from the human image.
Example use cases
E-commerce product model shoot
“I have a product photo of a blazer at https://shop.example.com/blazer.png and a model photo at https://shop.example.com/model.jpg — can you generate a try-on image of the model wearing the blazer using the SeedreamTryOn option?”
Online shopper outfit preview
“I want to see how this dress (https://store.example.com/red-dress.png) would look on me — here's my photo: https://myphoto.example.com/me.jpg. Use the FashnTryOn option please.”
Fashion lookbook content creation
“Generate a virtual try-on image of this hoodie (https://brand.example.com/hoodie.png) on this influencer photo (https://brand.example.com/influencer.png) using KontextTryOn for our lookbook campaign.”
Technical details
Endpoint
POSThttps://agents.vimmerse.net/v2/image/try-on?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to composite a specific garment image onto a specific person image for virtual try-on use cases, especially for e-commerce, fashion lookbooks, or personalized shopping experiences. It supports multiple backend model options (NanoBananaTryOn, SeedreamTryOn, KlingTryOn, FashnTryOn, KontextTryOn) allowing you to select quality/speed tradeoffs. Prefer this over generic image-to-image endpoints when the specific task is clothing try-on rather than general image transformation.
Side effects
- Invalid or inaccessible image URLs return an error
- Unsupported clothing type or image quality may produce poor compositing
- Invalid option value returns a validation error
- Timeout if images are large and model is slow (up to 300s)
- API key missing or invalid returns 401/402
- Human or clothes image with unsuitable pose/background may degrade output quality
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| option | string | Available values: `NanoBananaTryOn`, `SeedreamTryOn`, `KlingTryOn`, `FashnTryOn`, `KontextTryOn`. |
| async_mode | boolean | |
| webhook_url | — | |
| human_image_urlrequired | string | |
| clothes_image_urlrequired | string |
Output
Schema · Response
{
"type": "object",
"title": "Response Virtual Try On Api V2 Image Try On Post",
"additionalProperties": true
}Reviews
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