API reference · Alibaba

alibaba/wan/2.1/vace/pose

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/2.1/vace/pose

Input Schema

5 parameters · 1 required · 4 optional

Parameter	Type	Required	Description
`prompt`	string	Required	The text prompt to guide video generation. For pose task, the prompt should describe the desired pose and action of the subject in the video.
`seed`	integer	Optional	Random seed for reproducibility. If None, a random seed is chosen.
`video`	string	Optional	URL to the source video file. Required for pose task.
`resolution`	string	Optional	Resolution of the generated video. · Options: auto, 240p, 360p, 480p, 720p · Default: "auto" auto240p360p480p720p
`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

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/2.1/vace/pose",
    "video": "https://static.sandbase.ai/examples/alibaba/wan/2.1/vace/pose/input_video_0.mp4",
    "prompt": "A sharply dressed man walks toward the camera down a sun-drenched hallway.  Medium shot: He's framed from the knees up, his confident stride filling the frame.  His navy blue business suit is impeccably tailored, the fabric subtly shimmering under the light streaming through the tall, arched windows lining the hallway. Close-up:  The rich texture of the suit's wool is visible, each thread reflecting the light.  His crisp white shirt contrasts beautifully with the deep crimson of his silk tie, the knot perfectly formed.  The sunlight highlights the subtle sheen of his polished shoes.  The windows cast long shadows, highlighting the architectural detail of the hallway, creating a sense of both elegance and movement. High resolution 4k.",
    "resolution": "auto"
  }),
});

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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