API reference · Topaz Labs

topaz/upscale/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 IDtopaz/upscale/video
01

Input Schema

9 parameters · 0 required · 9 optional

ParameterTypeRequiredDescription
halonumberOptionalHalo reduction level (0.0-1.0). Default varies by model. · Min: 0 · Max: 1
grainnumberOptionalFilm grain amount (0.0-0.1). Default varies by model. · Min: 0 · Max: 0.1
noisenumberOptionalNoise reduction level (0.0-1.0). Default varies by model. · Min: 0 · Max: 1
videostringOptionalURL of the video to upscale
target_fpsintegerOptionalTarget FPS for frame interpolation. If set, frame interpolation will be enabled. · Min: 16 · Max: 60
H264_outputbooleanOptionalWhether to use H264 codec for output video. Default is H265. · Default: false
compressionnumberOptionalCompression artifact removal level (0.0-1.0). Default varies by model. · Min: 0 · Max: 1
recover_detailnumberOptionalRecover original detail level (0.0-1.0). Higher values preserve more original detail. · Min: 0 · Max: 1
upscale_factornumberOptionalFactor to upscale the video by (e.g. 2.0 doubles width and height) · Min: 1 · Max: 4 · Default: 2
02

Output Schema

FieldTypeDescription
idstringUnique identifier for the generation task
statusstringTask status: pending, running, completed, failed, timeout
modelstringModel used for the generation
outputsarrayArray of output items
outputs[].urlstringURL of the generated artifact
outputs[].content_typestringMIME type (e.g. image/png, video/mp4)
errorobject | nullError details if failed, null on success
error.typestringMachine-readable error type code
error.messagestringHuman-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

  1. Submit — POST to /v1/run, receive an id
  2. Poll — GET /v1/run/{id} until status is completed, failed, or timeout
  3. Retrieve — Read outputs from the completed response
03

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": "topaz/upscale/video",
    "video": "https://static.sandbase.ai/examples/topaz/upscale/video/input_video_0.mp4",
    "H264_output": false,
    "upscale_factor": 2
  }),
});

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);