API reference · sandbase-ai

sandbase-ai/cat-vton

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

IMAGEAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

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

Model IDsandbase-ai/cat-vton

Input Schema

7 parameters · 0 required · 7 optional

Parameter	Type	Required	Description
`seed`	integer	Optional	The same seed and the same input given to the same version of the model will output the same image every time.
`cloth_type`	string	Optional	Type of the Cloth to be tried on. Options: upper: Upper body cloth lower: Lower body cloth overall: Full body cloth inner: Inner cloth, like T-shirt inside a jacket outer: Outer cloth, like a jacket over a T-shirt · Options: upper, lower, overall, inner, outer upperloweroverallinnerouter
`aspect_ratio`	string	Optional	The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16
`guidance_scale`	number	Optional	The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. · Min: 0 · Max: 20 · Default: 2.5
`human_image_url`	string	Optional	Url for the human image.
`garment_image_url`	string	Optional	Url to the garment image.
`num_inference_steps`	integer	Optional	The number of inference steps to perform. · Min: 1 · Max: 50 · Default: 30

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": "sandbase-ai/cat-vton",
  "cloth_type": "upper",
  "guidance_scale": 2.5,
  "human_image_url": "https://static.sandbase.ai/examples/bfl/flux-2/virtual-tryon/input_images_0.png",
  "garment_image_url": "https://static.sandbase.ai/examples/bfl/flux-2/virtual-tryon/input_images_1.png",
  "num_inference_steps": 30,
  "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"

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