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MODEL ID prunaai:p-image@try-on
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P-Image-Try-On

Pruna AI
by Pruna AI

P-Image-Try-On is an image editing model from Pruna AI for virtual try-on workflows. It takes a source image of a person together with one or more garment reference images and generates a new image in which the person is realistically dressed in the provided garments. The model is built to preserve identity, pose, body shape, and the overall structure of the original image, making it useful for fashion previews, e-commerce visualization, styling exploration, and other garment-transfer workflows.

P-Image-Try-On

API Options

Platform-level options for task execution and delivery.

taskType

string required value: imageInference

Identifier for the type of task being performed

taskUUID

string required UUID v4

UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.

outputType

string default: URL

Image output type.

Allowed values 3 values

outputFormat

string default: JPG

Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.

  • `JPG`: Best for photorealistic images with smaller file sizes (no transparency).
  • `PNG`: Lossless compression, supports high quality and transparency (alpha channel).
  • `WEBP`: Modern format providing superior compression and transparency support.
**Transparency**: If you are using features like background removal or LayerDiffuse that require transparency, you must select a format that supports an alpha channel (e.g., `PNG`, `WEBP`, `TIFF`). `JPG` does not support transparency.
Allowed values 3 values

outputQuality

integer min: 20 max: 99 default: 95

Compression quality of the output. Higher values preserve quality but increase file size.

webhookURL

string URI

Specifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.

Learn more 1 resource

deliveryMethod

string default: sync

Determines how the API delivers task results.

Allowed values 2 values
Returns complete results directly in the API response.
Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more 1 resource

uploadEndpoint

string URI

Specifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.

Common use cases:

  • Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
  • CDN integration: Upload to content delivery networks for immediate distribution. 
// S3 presigned URL for secure upload
https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600

// Google Cloud Storage presigned URL
https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789

// Custom storage endpoint
https://storage.example.com/uploads/generated-image.jpg

The content data will be sent as the request body to the specified URL when generation is complete.

safety

object

Content safety checking configuration for image generation.

Properties 1 property
safety » checkContent

checkContent

boolean default: false

Enable or disable content safety checking.

ttl

integer min: 60

Time-to-live (TTL) in seconds for generated content. Only applies when outputType is URL.

includeCost

boolean default: false

Include task cost in the response.

numberResults

integer min: 1 max: 20 default: 1

Number of results to generate. Each result uses a different seed, producing variations of the same parameters.

Inputs

Input resources for the task (images, audio, etc). These must be nested inside the inputs object.
inputs » referenceImages

referenceImages

array of objects required min items: 2max items: 13

List of reference images (UUID, URL, Data URI, or Base64).

Properties 2 properties
inputs » referenceImages » image

image

string required

Image input (UUID, URL, Data URI, or Base64).

inputs » referenceImages » role

role

string required

Role of the image in the virtual try-on process. Use exactly one person, one to eleven garment, and optionally one pose.

Allowed values 3 values

Core Parameters

Primary parameters that define the task output.

model

string required value: prunaai:p-image@try-on

Identifier of the model to use for generation.

positivePrompt

string

Experimental guidance for non-flatlay garment images, for example which garment from which image to use.

seed

integer min: 0 max: 9223372036854776000

Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.

Settings

Technical parameters to fine-tune the inference process. These must be nested inside the settings object.
settings » preserveInputSize

preserveInputSize

boolean default: true

Return the output at the original input resolution. When disabled, the output keeps the model's internal working resolution, which may differ from the input because inputs are dynamically resized for quality and speed.

settings » turbo

turbo

boolean default: false

Enable turbo mode for faster generation. May reduce subtle details in complex tasks.

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