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
01

Input Schema

10 parameters · 1 required · 9 optional

ParameterTypeRequiredDescription
promptstringRequiredThe prompt to guide the video generation.
fpsintegerOptionalThe frame rate of the generated video. · Min: 1 · Max: 60 · Default: 16
seedintegerOptionalThe seed for the random number generator.
resolutionstringOptionalThe resolution of the generated video. · Options: 240p, 360p, 480p, 720p · Default: "480p"
240p360p480p720p
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
binarize_maskbooleanOptionalWhether to binarize the mask. · Default: false
mask_clamp_lowernumberOptionalThe lower bound of the mask clamping. · Min: 0 · Max: 1 · Default: 0.1
mask_clamp_uppernumberOptionalThe upper bound of the mask clamping. · Min: 0 · Max: 1 · Default: 0.75
video_output_typestringOptionalThe 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_thresholdnumberOptionalThe 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
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

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "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
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"