API reference · meituan

meituan/longcat-single-avatar/audio-to-video

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

IMAGEAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDmeituan/longcat-single-avatar/audio-to-video

Input Schema

8 parameters · 1 required · 7 optional

Parameter	Type	Required	Description
`prompt`	string	Required	The prompt to guide the video generation. · Default: "A person is talking naturally with natural expressions and movements."
`seed`	integer	Optional	The seed for the random number generator.
`audio`	string	Optional	The URL of the audio file to drive the avatar.
`resolution`	string	Optional	Resolution of the generated video (480p or 720p). Billing is per video-second (16 frames): 480p is 1 unit per second and 720p is 4 units per second. · Options: 480p, 720p · Default: "480p" 480p720p
`num_segments`	integer	Optional	Number of video segments to generate. Each segment adds ~5 seconds of video. First segment is ~5.8s, additional segments are 5s each. · Min: 1 · Max: 10 · Default: 1
`num_inference_steps`	integer	Optional	The number of inference steps to use. · Min: 10 · Max: 100 · Default: 50
`text_guidance_scale`	number	Optional	The text guidance scale for classifier-free guidance. · Min: 1 · Max: 10 · Default: 4
`audio_guidance_scale`	number	Optional	The audio guidance scale. Higher values may lead to exaggerated mouth movements. · Min: 1 · Max: 10 · Default: 4

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, or timeout
Retrieve — Read outputs from the completed response

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": "meituan/longcat-single-avatar/audio-to-video",
    "audio": "https://static.sandbase.ai/examples/meituan/longcat-single-avatar/audio-to-video/input_audio_0.mp3",
    "prompt": "A person is talking naturally with natural expressions and movements.",
    "resolution": "480p",
    "num_segments": 1,
    "num_inference_steps": 50,
    "text_guidance_scale": 4,
    "audio_guidance_scale": 4
  }),
});

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);

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