API reference · Alibaba

alibaba/wan/2.6/text-to-video

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/2.6/text-to-video
01

Input Schema

5 parameters · 1 required · 4 optional

ParameterTypeRequiredDescription
promptstringRequiredThe text prompt to generate a video from. · Min length: 3 · Max length: 50000 · Default: "Rim light, low contrast, medium close-up, daylight, left-weighted composition, clean single-person shot, warm tones, soft light, sunny day, side light, daytime. A young girl sits in a field of tall grass, with two fluffy little donkeys standing behind her. The girl is about eleven or twelve, wearing a simple floral dress, hair in two braids, with an innocent smile. She sits cross-legged, gently playing with wildflowers beside her. The donkeys are sturdy with perked ears, curiously looking toward the camera. Sunlight bathes the field, creating a warm and natural atmosphere."
audiostringOptionalThe URL of an audio file to guide video generation.
durationintegerOptionalThe duration of the generated video in seconds. Valid values are 5 and 10. · Options: 5, 10 · Default: 5
510
resolutionstringOptionalThe resolution of the video to generate. · Options: 720p, 1080p · Default: "720p"
720p1080p
aspect_ratiostringOptionalThe aspect ratio of the generated video. · Options: 1:1, 4:3, 3:4, 16:9, 9:16 · Default: "16:9"
1:14:33:416:99:16
02

Output Schema

FieldTypeDescription
idstringUnique identifier for the generation task
statusstringTask status: pending, running, completed, failed, timeout
modelstringModel used for the generation
outputsarrayArray of output items
outputs[].urlstringURL of the generated artifact
outputs[].content_typestringMIME type (e.g. image/png, video/mp4)
errorobject | nullError details if failed, null on success
error.typestringMachine-readable error type code
error.messagestringHuman-readable error description

Async Workflow

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

  1. Submit — POST to /v1/run, receive an id
  2. Poll — GET /v1/run/{id} until status is completed, failed, or timeout
  3. Retrieve — Read outputs from the completed response
03

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/2.6/text-to-video",
    "prompt": "Rim light, low contrast, medium close-up, daylight, left-weighted composition, clean single-person shot, warm tones, soft light, sunny day, side light, daytime. A young girl sits in a field of tall grass, with two fluffy little donkeys standing behind her. The girl is about eleven or twelve, wearing a simple floral dress, hair in two braids, with an innocent smile. She sits cross-legged, gently playing with wildflowers beside her. The donkeys are sturdy with perked ears, curiously looking toward the camera. Sunlight bathes the field, creating a warm and natural atmosphere.",
    "duration": 5,
    "resolution": "720p",
    "aspect_ratio": "16:9"
  }),
});

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);