API reference · Alibaba

alibaba/happy-horse/video-edit

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 IDalibaba/happy-horse/video-edit

Input Schema

6 parameters · 1 required · 5 optional

Parameter	Type	Required	Description
`prompt`	string	Required	Text prompt describing the desired edit. Reference any supplied reference images using @Image1, @Image2, ... up to @Image5. Max 2500 characters. · Min length: 1
`seed`	integer	Optional	Random seed for reproducibility (0-2147483647).
`video`	string	Optional	URL of the source video to edit. Formats: MP4, MOV (H.264 recommended). Duration: 3-60 s. Longer side ≤ 2160 px, shorter side ≥ 320 px. Aspect ratio between 1:2.5 and 2.5:1. Frame rate > 8 fps. Max 100 MB. The output video preserves the source aspect ratio. Output duration matches the input video, capped at 15 s (longer inputs are truncated to the first 15 s). Max file size: 100.0MB, Min duration: 3s, Max duration: 60s, Timeout: 30.0s
`resolution`	string	Optional	Output video resolution tier. · Options: 720p, 1080p · Default: "1080p" 720p1080p
`audio_setting`	string	Optional	Audio handling. 'auto': model decides whether to regenerate audio. 'origin': preserve the original audio from the input video. · Options: auto, origin · Default: "auto" autoorigin
`reference_image_urls`	string[]	Optional	Optional reference images used to guide the edit (up to 5). Formats: JPEG, JPG, PNG, WEBP. Dimensions must be at least 300px. Aspect ratio between 1:2.5 and 2.5:1. Max 10 MB each.

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": "alibaba/happy-horse/video-edit",
    "video": "https://static.sandbase.ai/examples/alibaba/happy-horse/video-edit/input_video_0.mp4",
    "prompt": "Recolor the sky to a deep purple sunset.",
    "resolution": "1080p",
    "audio_setting": "auto"
  }),
});

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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