API reference · Alibaba
alibaba/wan/effects
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
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OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
alibaba/wan/effects01
Input Schema
7 parameters · 1 required · 6 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | URL of the input image. |
seed | integer | Optional | Random seed for reproducibility. If None, a random seed is chosen. |
subject | string | Optional | The subject to insert into the predefined prompt template for the selected effect. |
lora_scale | number | Optional | The scale of the LoRA weight. Used to adjust effect intensity. · Min: 0.1 · Max: 2 · Default: 1 |
turbo_mode | boolean | Optional | Whether to use turbo mode. If True, the video will be generated faster but with lower quality. · Default: false |
effect_type | string | Optional | The 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_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 |
02
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, ortimeout - Retrieve — Read
outputsfrom 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);