API reference · Alibaba

alibaba/wan/2.2/i2v-720p-lora

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

VIDEOSynchronousOpen 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/2.2/i2v-720p-lora

Input Schema

10 parameters · 2 required · 8 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of the starting image.
`prompt`	string	Required	The text prompt that guides video generation.
`seed`	integer	Optional	—
`loras`	array	Optional	Default: []
`duration`	integer	Optional	Video duration in seconds. · Options: 5, 8 · Default: 5 58
`last_image`	string	Optional	Optional ending frame image URL.
`low_noise_loras`	array	Optional	Default: []
`negative_prompt`	string	Optional	Content to avoid in the generated video.
`high_noise_loras`	array	Optional	Default: []
`enable_safety_checker`	boolean	Optional	—

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

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/2.2/i2v-720p-lora",
    "loras": [],
    "duration": 5,
    "low_noise_loras": [],
    "high_noise_loras": []
  }),
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.json());

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