BASE=https://api.nunchux.ai

# 1. Submit
SUBMIT=$(curl -sS --fail-with-body "$BASE/v1/minimax/v2/video_generation" \
  -H "X-API-Key: $NUNCHUX_API_KEY" \
  -H "Content-Type: application/json" \
  -H "User-Agent: YourApp/1.0" \
  -d '{
    "model": "MiniMax-H3",
    "content": [
      { "type": "text", "text": "a fox trotting through a snowy forest at dawn" }
    ],
    "resolution": "768P",
    "duration": 6,
    "ratio": "16:9"
  }') || { echo "submit failed: $SUBMIT" >&2; exit 1; }
TASK=$(jq -er '.task_id' <<<"$SUBMIT") || { echo "no task_id in: $SUBMIT" >&2; exit 1; }

# 2. Poll until the status is terminal
DELAY=5
for _ in $(seq 1 90); do
  RESP=$(curl -sS "$BASE/v1/minimax/v2/query/video_generation/$TASK" \
    -H "X-API-Key: $NUNCHUX_API_KEY" \
    -H "User-Agent: YourApp/1.0")
  STATUS=$(jq -r '.task.status // ""' <<<"$RESP")
  case "$STATUS" in succeeded|failed|cancelled) break ;; esac
  sleep "$DELAY"; DELAY=$(( DELAY * 2 > 30 ? 30 : DELAY * 2 ))
done

# 3. Check for failure
[ "$STATUS" = "succeeded" ] || { echo "task $STATUS: $(jq -r '.task.error // "no error"' <<<"$RESP")" >&2; exit 1; }

# 4. Download
curl -sSL -o minimax.mp4 "$(jq -r '.task.content.url' <<<"$RESP")"

# pip install requests
import os, time, requests

BASE = "https://api.nunchux.ai"
HEADERS = {
    "X-API-Key": os.environ["NUNCHUX_API_KEY"],
    "User-Agent": "YourApp/1.0",
}

# 1. Submit
submit = requests.post(
    f"{BASE}/v1/minimax/v2/video_generation",
    headers=HEADERS,
    json={
        "model": "MiniMax-H3",
        "content": [
            {"type": "text", "text": "a fox trotting through a snowy forest at dawn"}
        ],
        "resolution": "768P",
        "duration": 6,
        "ratio": "16:9",
    },
)
if not submit.ok:
    raise RuntimeError(f"submit failed: HTTP {submit.status_code} {submit.text}")
task = submit.json()["task_id"]

# 2. Poll until the status is terminal
delay = 5
for _ in range(90):
    data = requests.get(
        f"{BASE}/v1/minimax/v2/query/video_generation/{task}", headers=HEADERS
    ).json()
    status = data.get("task", {}).get("status", "")
    if status in ("succeeded", "failed", "cancelled"):
        break
    time.sleep(delay)
    delay = min(delay * 2, 30)
else:
    raise TimeoutError("MiniMax task did not reach a terminal status")

# 3. Check for failure
if status != "succeeded":
    raise RuntimeError(f"MiniMax task {status}: {data['task'].get('error')}")

# 4. Download
with requests.get(data["task"]["content"]["url"], stream=True, timeout=300) as r:
    r.raise_for_status()
    with open("minimax.mp4", "wb") as f:
        for chunk in r.iter_content(1 << 14):
            f.write(chunk)

{
  "model": "MiniMax-H3",
  "content": [
    { "type": "text", "text": "the fox turns and trots toward the camera" },
    {
      "type": "image_url",
      "role": "first_frame",
      "image_url": { "url": "https://example.com/frame.jpg" }
    }
  ],
  "resolution": "768P",
  "duration": 6
}

{
  "model": "MiniMax-H3",
  "content": [
    { "type": "text", "text": "the subject walks down a rain-soaked street at night, slow tracking shot" },
    {
      "type": "image_url",
      "role": "reference_image",
      "image_url": { "url": "https://example.com/ref-1.jpg" }
    },
    {
      "type": "image_url",
      "role": "reference_image",
      "image_url": { "url": "https://example.com/ref-2.jpg" }
    },
    {
      "type": "video_url",
      "role": "reference_video",
      "video_url": { "url": "https://example.com/clip.mp4" }
    },
    {
      "type": "audio_url",
      "role": "reference_audio",
      "audio_url": { "url": "https://example.com/track.mp3" }
    }
  ],
  "resolution": "768P",
  "duration": 6
}