API reference · MeiGen-AI

meigen/infinitetalk/text-to-video

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 IDmeigen/infinitetalk/text-to-video

Input Schema

7 parameters · 4 required · 3 optional

Parameter	Type	Required	Description
`text`	string	Required	Text the person speaks.
`image`	string	Required	Input image URL (face / character).
`voice`	string	Required	Voice used to speak the text. · Options: Aria, Roger, Sarah, Laura, Charlie, George, Callum, River, Liam, Charlotte, Alice, Matilda, Will, Jessica, Eric, Chris, Brian, Daniel, Lily, Bill AriaRogerSarahLauraCharlieGeorgeCallumRiverLiamCharlotteAliceMatildaWillJessicaEricChrisBrianDanielLilyBill
`prompt`	string	Required	Text prompt guiding the generation.
`seed`	integer	Optional	Random seed for reproducibility. · Min: 0 · Max: 2147483647
`num_frames`	integer	Optional	Maximum frames to generate (41–721, 25 fps); output also stops at the end of the audio. · Min: 41 · Max: 721 · Default: 145
`resolution`	string	Optional	Output resolution (720p costs 2x). · Options: 480p, 720p · Default: "720p" 480p720p

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": "meigen/infinitetalk/text-to-video",
    "text": "Spend more time with people who make you feel alive, and less with things that drain your soul.",
    "image": "https://v3.fal.media/files/panda/HuM21CXMf0q7OO2zbvwhV_c4533aada79a495b90e50e32dc9b83a8.png",
    "voice": "Bill",
    "prompt": "An elderly man with a white beard and headphones records audio with a microphone. He appears engaged and expressive, suggesting a podcast or voiceover.",
    "num_frames": 145,
    "resolution": "720p"
  }),
});

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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