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Hailuo 02 Pro

minimax /

Minimax Hailuo 02 Pro produces ultra-clear 1080P AI videos with responsive, physics-aware rendering for complex physics-driven scenes. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-video
输入

就绪

$0.48每次运行·~20 / $10

下一步:

示例查看全部

A bright orange sports car speeds along a wet racetrack. [Low-angle shot] captures the stormy sky as lightning crackles above. The camera gradually lifts, revealing the full rainy-night race environment glowing under powerful lights.

A fire dancer twirls flaming batons in a dark arena. Sparks fly as the flames reflect off the performer’s glittering outfit. The camera follows the fire trails in slow motion, then cuts to the amazed faces of the audience. High contrast lighting, vibrant colors.

Anime-style high school girl running through cherry blossoms, her hair and uniform flutter as she runs along a petal-covered path, bright sunlight and gentle wind completing the scene.

A skier glides downhill, carving turns that kick up clouds of snow. The camera follows steadily as he picks up speed along the slope.

A group of flamingos strut through shallow water under a bright blue sky, their pink feathers catching shimmering reflections.

相关模型

README

minimax/hailuo-02/pro

Hailuo 02 Pro is the premium endpoint on MiniMax’s framework. It delivers crisper 1080p frames, stronger physics, and cleaner temporal coherence than the Standard tier, while supporting both T2V (text-only) and I2V (image-guided, optional end frame).

Why upgrade to Pro

  • Sharper 1080p output with richer micro-detail and color depth.
  • Stronger motion & physics — debris, cloth, water, collisions, handheld shake feel natural.
  • Cleaner temporal continuity — reduced flicker/warping; smoother camera moves and transitions.
  • Better prompt adherence — follows complex scene + camera directions more reliably.
  • Image-guided control — lock composition/style with a start image; add an end_image for guided transitions.

Parameters

NameDescription
prompt*Describe subjects, lighting, motion, and camera (works for T2V and I2V).
image(Optional) First frame (JPG/PNG) to anchor composition & style.
end_image(Optional) Target frame to steer the ending look/pose.
enable_prompt_expansionAuto-refines the prompt and runs safety checks.

Pricing

Fixed output in 5s and just $0.48 per run !

How to use (super short)

  1. Prompt (cinematic; add camera + lighting + motion).
  2. (Optional) image (+ end_image) for I2V control.
  3. Run, review, tweak prompt/seed, re-run.

Example prompts

  • Low, wide tracking shot through a neon-lit market in the rain; steam, reflections, handheld vibe, shallow DOF, cinematic grade.
  • Orbit around a medieval knight on a cliff at sunrise; cloth and hair in wind, lens flare, slow push-in to visor.
提示:本网站部分功能由第三方 AI 模型提供支持。

Hailuo 02 Pro API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/hailuo-02/pro with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Hailuo 02 Pro below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "duration": 6,
    "enable_prompt_expansion": false
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/minimax/hailuo-02/pro" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/minimax/hailuo-02/pro";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "duration": 6,
        "enable_prompt_expansion": false
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "duration": 6,
    "enable_prompt_expansion": False
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/minimax/hailuo-02/pro", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Hailuo 02 Pro API — Frequently asked questions

What is the Hailuo 02 Pro API?

Hailuo 02 Pro is a MiniMax model for video generation from images, exposed as a REST API on WaveSpeedAI. Minimax Hailuo 02 Pro produces ultra-clear 1080P AI videos with responsive, physics-aware rendering for complex physics-driven scenes. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Hailuo 02 Pro API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/minimax/minimax-hailuo-02-pro.

How much does Hailuo 02 Pro cost per run?

Hailuo 02 Pro starts at $0.48 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Hailuo 02 Pro accept?

Key inputs: `prompt`, `image`, `duration`, `enable_prompt_expansion`, `end_image`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/minimax/minimax-hailuo-02-pro.

How long does Hailuo 02 Pro take to generate?

Median end-to-end generation time on WaveSpeedAI is around 199 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Hailuo 02 Pro outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (MiniMax). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Hailuo 02 Pro | Fast Image-to-Video API | WaveSpeedAI