MiniMax-H3-Max API

curl --request POST 'https://restapi.scalingtensor.com/api/media/generate' \
  --header 'apiKey: YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data-raw '{
  "model": "MiniMax-H3-Max",
  "params": {
    "model": "MiniMax-H3-Max",
    "ratio": "16:9",
    "content": [
      {
        "text": "Epic space-opera theatrical teaser: a female captain stands alone before a massive observation window as the last fleet gathers and jumps away in a blinding flash, the bridge shaking, leaving her behind.",
        "type": "text"
      }
    ],
    "duration": 5,
    "resolution": "768P"
  }
}'

const response = await fetch("https://restapi.scalingtensor.com/api/media/generate", {
  method: "POST",
  headers: {
    apiKey: process.env.SCALINGTENSOR_API_KEY,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "MiniMax-H3-Max",
    "params": {
      "model": "MiniMax-H3-Max",
      "ratio": "16:9",
      "content": [
        {
          "text": "Epic space-opera theatrical teaser: a female captain stands alone before a massive observation window as the last fleet gathers and jumps away in a blinding flash, the bridge shaking, leaving her behind.",
          "type": "text"
        }
      ],
      "duration": 5,
      "resolution": "768P"
    }
  }),
});

const result = await response.json();
if (!response.ok || result.code !== 0) {
  throw new Error(result.msg || `Request failed: ${response.status}`);
}
console.log(result.data); // Save data.jobId to query /api/media/result

import os
import requests

payload = {
    "model": "MiniMax-H3-Max",
    "params": {
        "model": "MiniMax-H3-Max",
        "ratio": "16:9",
        "content": [
            {
                "text": "Epic space-opera theatrical teaser: a female captain stands alone before a massive observation window as the last fleet gathers and jumps away in a blinding flash, the bridge shaking, leaving her behind.",
                "type": "text",
            },
        ],
        "duration": 5,
        "resolution": "768P",
    },
}

response = requests.post(
    "https://restapi.scalingtensor.com/api/media/generate",
    headers={"apiKey": os.environ["SCALINGTENSOR_API_KEY"]},
    json=payload,
    timeout=60,
)
result = response.json()
if result["code"] != 0:
    raise RuntimeError(result["msg"])
print(result["data"])  # Save data["jobId"] to query /api/media/result