API reference · KwaiVGI

kwaivgi/kling-video/v2.1/pro/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 IDkwaivgi/kling-video/v2.1/pro/image-to-video

Input Schema

4 parameters · 2 required · 2 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of the image to be used for the video
`prompt`	string	Required	Max length: 2500
`duration`	integer	Optional	The duration of the generated video in seconds · Options: 5, 10 · Default: 5 510
`end_image`	string	Optional	URL of the image to be used for the end of the video

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": "kwaivgi/kling-video/v2.1/pro/image-to-video",
    "image": "https://v3.fal.media/files/lion/_I_io6Gtk83c72d-afXf8_image.webp",
    "prompt": "Warm, incandescent streetlights paint the rain-slicked cobblestones in pools of amber light as a couple walks hand-in-hand, their silhouettes stark against the blurry backdrop of a city shrouded in a gentle downpour; the camera lingers on the subtle textures of their rain-soaked coats and the glistening reflections dancing on the wet pavement, creating a sense of intimate vulnerability and shared quietude.",
    "duration": 5
  }),
});

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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