API reference · Alibaba

alibaba/wan/effects

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/effects
01

Input Schema

7 parameters · 1 required · 6 optional

ParameterTypeRequiredDescription
imagestringRequiredURL of the input image.
seedintegerOptionalRandom seed for reproducibility. If None, a random seed is chosen.
subjectstringOptionalThe subject to insert into the predefined prompt template for the selected effect.
lora_scalenumberOptionalThe scale of the LoRA weight. Used to adjust effect intensity. · Min: 0.1 · Max: 2 · Default: 1
turbo_modebooleanOptionalWhether to use turbo mode. If True, the video will be generated faster but with lower quality. · Default: false
effect_typestringOptionalThe type of effect to apply to the video. · Options: squish, muscle, inflate, crush, rotate, gun-shooting, deflate, cakeify, hulk, baby, bride, classy, puppy, snow-white, disney-princess, mona-lisa, painting, pirate-captain, princess, jungle, samurai, vip, warrior, zen, assassin, timelapse, tsunami, fire, zoom-call, doom-fps, fus-ro-dah, hug-jesus, robot-face-reveal, super-saiyan, jumpscare, laughing, cartoon-jaw-drop, crying, kissing, angry-face, selfie-younger-self, animeify, blast · Default: "cakeify"
squishmuscleinflatecrushrotategun-shootingdeflatecakeifyhulkbabybrideclassypuppysnow-whitedisney-princessmona-lisapaintingpirate-captainprincessjunglesamuraivipwarriorzenassassintimelapsetsunamifirezoom-calldoom-fpsfus-ro-dahhug-jesusrobot-face-revealsuper-saiyanjumpscarelaughingcartoon-jaw-dropcryingkissingangry-faceselfie-younger-selfanimeifyblast
aspect_ratiostringOptionalThe 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
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/effects",
    "image": "https://static.sandbase.ai/examples/alibaba/wan/effects/input_image_0.jpg",
    "subject": "a cute kitten",
    "lora_scale": 1,
    "turbo_mode": false,
    "effect_type": "cakeify"
  }),
});

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);