API reference · Alibaba

alibaba/wan/motion

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

VIDEOAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

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

Model IDalibaba/wan/motion

Input Schema

6 parameters · 2 required · 4 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of the reference image (provides the character appearance).
`prompt`	string	Required	Optional text prompt to guide the generation. · Default: ""
`seed`	integer	Optional	Random seed for reproducibility.
`video`	string	Optional	URL of the driving video (provides the motion).
`adapt_motion`	boolean	Optional	Adapts the driving video's motion to match the reference image's body proportions. Recommended when the driving video subject and reference image have different body shapes or sizes. · Default: true
`enhance_identity`	boolean	Optional	Enhances identity preservation by preprocessing the reference image with Flux Kontext Edit before animation. Produces more faithful face and appearance transfer at the cost of slightly longer processing time. · Default: false

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

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "alibaba/wan/motion",
    "image": "https://static.sandbase.ai/examples/alibaba/wan/motion/input_image_0.jpg",
    "video": "https://static.sandbase.ai/examples/alibaba/wan/motion/input_video_1.mp4",
    "prompt": "woman dancing",
    "adapt_motion": true,
    "enhance_identity": false
  }),
});

if (!response.ok) throw new Error(await response.text());
let result = await response.json();
for (let attempt = 0; attempt < 120 && !["completed", "failed", "timeout"].includes(result.status); attempt++) {
  await new Promise((resolve) => setTimeout(resolve, 2_000));
  const poll = await fetch(`https://api.sandbase.ai/v1/run/${result.id}`, {
    headers: { Authorization: `Bearer ${apiKey}` },
  });
  if (!poll.ok) throw new Error(await poll.text());
  result = await poll.json();
}
if (result.status !== "completed") throw new Error(`Generation ended: ${result.status}`);
console.log(result);

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