Ai Virtual Outfit Tryon

Playground

AI Virtual Outfit Try-On generates videos of a person wearing uploaded clothing. Upload a portrait and clothing images, add an optional prompt, and get a try-on video. Ready-to-use REST inference API, no coldstarts, affordable pricing.

Features

AI Virtual Outfit Try-On

AI Virtual Outfit Try-On generates realistic videos of you wearing any outfit. Upload a portrait and clothing images — AI composites the look onto your body and animates it into a natural, wearable video. See how any outfit looks on you before buying, without a fitting room.

Why Choose This?

Realistic virtual try-on video Goes beyond static image try-on — generates an animated video showing the outfit in natural motion on your body.
Multi-garment support Upload up to 8 clothing images per request to try on complete outfits with multiple pieces.
Prompt-guided scene control Optionally describe the desired video scene, background, or mood to customize the visual context of the try-on.
Flexible duration Generate clips from 5 to 15 seconds to capture enough movement to evaluate the outfit.

Parameters

Parameter	Required	Description
image	Yes	Portrait photo of the person (URL or file upload).
clothes_images	Yes	Clothing image URLs to try on. Up to 8 images per request.
prompt	No	Text description of the desired video scene, background, or atmosphere.
duration	No	Video length in seconds. Range: 5–15. Default: 5.

How to Use

Upload your portrait — a clear, full-body or upper-body photo works best.
Upload clothing images — provide image URLs for each garment you want to try on (up to 8).
Write a prompt (optional) — describe the scene, setting, or vibe you want for the video.
Set duration — choose between 5 and 15 seconds.
Submit — generate, preview, and download your try-on video.

Pricing

Duration	Cost
5s	$0.195
10s	$0.390
15s	$0.585

Billing Rules

Rate: $0.039 per second
Duration range: 5–15 seconds

Best Use Cases

E-commerce & fashion retail — Let customers virtually try on outfits before purchasing.
Personal styling — See how multiple garments look together as a complete outfit.
Social media content — Create fashion try-on videos for Instagram and TikTok.
Wardrobe planning — Preview new clothing against your actual appearance before buying.

Pro Tips

Use a clear, well-lit portrait with a neutral background for the most accurate outfit compositing.
Full-body or upper-body photos give the model more context for realistic garment placement.
Upload clean, front-facing clothing images on a plain background for the cleanest try-on results.
Use the prompt to set the scene — for example, “walking in a city street, natural daylight” for a lifestyle feel.

Notes

Both image and clothes_images are required fields.
Up to 8 clothing images can be provided per request.
Ensure all image URLs are publicly accessible if using links rather than direct uploads.
Please ensure your content complies with WaveSpeed AI’s usage policies.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-virtual-outfit-tryon" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "duration": 5
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

Parameter	Type	Required	Default	Range	Description
image	string	Yes		-	The URL of the person image.
clothes_images	array	Yes	-	1 ~ 8 items	List of clothing image URLs (up to 10).
prompt	string	No		-	Text prompt describing the desired outfit video scene.
duration	integer	No	5	5 ~ 15	The duration of the generated video in seconds.

Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data.id	string	Unique identifier for the prediction, Task Id
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Result Request Parameters

Parameter	Type	Required	Default	Description
id	string	Yes	-	Task ID

Result Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data	object	The prediction data object containing all details
data.id	string	Unique identifier for the prediction, the ID of the prediction to get
data.model	string	Model ID used for the prediction
data.outputs	object	Array of URLs to the generated content (empty when status is not completed).
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

AI Video Ads Any Llm