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.
Inattivo
$0.48per esecuzione·~20 / $10
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.
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).
| Name | Description |
|---|---|
| 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_expansion | Auto-refines the prompt and runs safety checks. |
Fixed output in 5s and just $0.48 per run !
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 URLs from data.outputs. Examples for Hailuo 02 Pro below.
# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/minimax/hailuo-02/pro" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 6,
"enable_prompt_expansion": false
}'
# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
--retry 4 --retry-all-errors --retry-delay 1 \
-X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.// npm install wavespeed
const { Client } = require('wavespeed');
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey);
try {
const result = await client.run("minimax/hailuo-02/pro", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 6,
"enable_prompt_expansion": false
}, {
timeout: 3600,
pollInterval: 2.0,
});
console.log(result.outputs);
} catch (error) {
console.error('Generation failed:', error);
process.exitCode = 1;
}# pip install wavespeed
import os
from wavespeed import Client
client = Client(api_key=os.environ["WAVESPEED_API_KEY"])
try:
output = client.run(
"minimax/hailuo-02/pro",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 6,
"enable_prompt_expansion": false
},
timeout=3600.0,
poll_interval=2.0,
)
print(output["outputs"])
except Exception as error:
raise SystemExit(f"Generation failed: {error}") from errorHailuo 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.
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.
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.
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.
Average end-to-end generation time on WaveSpeedAI is around 194 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
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.