API reference · Google

google/veo3.1/image-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 IDgoogle/veo3.1/image-to-video

Input Schema

7 parameters · 2 required · 5 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of the input image to animate. Should be 720p or higher resolution in 16:9 or 9:16 aspect ratio. If the image is not in 16:9 or 9:16 aspect ratio, it will be cropped to fit.
`prompt`	string	Required	The text prompt describing the video you want to generate · Max length: 20000
`seed`	integer	Optional	The seed for the random number generator.
`duration`	integer	Optional	The duration of the generated video in seconds. · Options: 4, 6, 8 · Default: 8 468
`resolution`	string	Optional	The resolution of the generated video. · Options: 720p, 1080p, 4k · Default: "720p" 720p1080p4k
`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
`generate_audio`	boolean	Optional	Whether to generate audio for the video. · Default: true

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": "google/veo3.1/image-to-video",
    "image": "https://static.sandbase.ai/examples/google/veo/3.1/image-to-video/input_image_0.jpg",
    "prompt": "A monkey and polar bear host a casual podcast about AI inference, bringing their unique perspectives from different environments (tropical vs. arctic) to discuss how AI systems make decisions and process information.\nSample Dialogue:\nMonkey (Banana): \"Welcome back to Bananas & Ice! I am Banana\"\nPolar Bear (Ice): \"And I'm Ice!\"",
    "duration": 8,
    "resolution": "720p",
    "generate_audio": true
  }),
});

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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