API reference · FASHN

fashn/tryon/v1.5

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

IMAGEAsyncOpen model

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDfashn/tryon/v1.5

Input Schema

9 parameters · 0 required · 9 optional

Parameter	Type	Required	Description
`seed`	integer	Optional	Sets random operations to a fixed state. Use the same seed to reproduce results with the same inputs, or different seed to force different results.
`category`	string	Optional	Category of the garment to try-on. 'auto' will attempt to automatically detect the category of the garment. · Options: tops, bottoms, one-pieces, auto · Default: "auto" topsbottomsone-piecesauto
`model_image`	string	Optional	URL or base64 of the model image
`num_samples`	integer	Optional	Number of images to generate in a single run. Image generation has a random element in it, so trying multiple images at once increases the chances of getting a good result. · Min: 1 · Max: 4 · Default: 1
`garment_image`	string	Optional	URL or base64 of the garment image
`output_format`	string	Optional	Output format of the generated images. 'png' is highest quality, while 'jpeg' is faster · Options: png, jpeg · Default: "png" pngjpeg
`moderation_level`	string	Optional	Content moderation level for garment images. 'none' disables moderation, 'permissive' blocks only explicit content, 'conservative' also blocks underwear and swimwear. · Options: none, permissive, conservative · Default: "permissive" nonepermissiveconservative
`segmentation_free`	boolean	Optional	Disables human parsing on the model image. · Default: true
`garment_photo_type`	string	Optional	Specifies the type of garment photo to optimize internal parameters for better performance. 'model' is for photos of garments on a model, 'flat-lay' is for flat-lay or ghost mannequin images, and 'auto' attempts to automatically detect the photo type. · Options: auto, model, flat-lay · Default: "auto" automodelflat-lay

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "fashn/tryon/v1.5",
  "category": "auto",
  "model_image": "https://static.sandbase.ai/examples/fashn/tryon/v1.5/input_model_image_1.bin",
  "num_samples": 1,
  "garment_image": "https://static.sandbase.ai/examples/fashn/tryon/v1.5/input_garment_image_0.bin",
  "output_format": "png",
  "moderation_level": "permissive",
  "segmentation_free": true,
  "garment_photo_type": "auto",
  "prompt": "a beautiful sunset over mountains"
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

← Back to FASHN Virtual Try-On V1.5