API reference · Alibaba

alibaba/wan/alpha

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/alpha

Input Schema

10 parameters · 1 required · 9 optional

Parameter	Type	Required	Description
`prompt`	string	Required	The prompt to guide the video generation.
`fps`	integer	Optional	The frame rate of the generated video. · Min: 1 · Max: 60 · Default: 16
`seed`	integer	Optional	The seed for the random number generator.
`resolution`	string	Optional	The resolution of the generated video. · Options: 240p, 360p, 480p, 720p · Default: "480p" 240p360p480p720p
`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
`binarize_mask`	boolean	Optional	Whether to binarize the mask. · Default: false
`mask_clamp_lower`	number	Optional	The lower bound of the mask clamping. · Min: 0 · Max: 1 · Default: 0.1
`mask_clamp_upper`	number	Optional	The upper bound of the mask clamping. · Min: 0 · Max: 1 · Default: 0.75
`video_output_type`	string	Optional	The output type of the generated video. · Options: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif) · Default: "VP9 (.webm)" X264 (.mp4)VP9 (.webm)PRORES4444 (.mov)GIF (.gif)
`mask_binarization_threshold`	number	Optional	The threshold for mask binarization. When binarize_mask is True, this threshold will be used to binarize the mask. This will also be used for transparency when the output type is `.webm`. · Min: 0 · Max: 1 · Default: 0.8

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/alpha",
    "fps": 16,
    "prompt": "Medium shot. A little girl holds a bubble wand and blows out colorful bubbles that float and pop in the air. The background of this video is transparent. Realistic style.",
    "resolution": "480p",
    "binarize_mask": false,
    "mask_clamp_lower": 0.1,
    "mask_clamp_upper": 0.75,
    "video_output_type": "VP9 (.webm)",
    "mask_binarization_threshold": 0.8
  }),
});

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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