Minimax Hailuo 02 T2V Pro
Playground
Try it on WavespeedAI!Hailuo 02 T2V-Pro is a text-to-video model fine-tuned for ultra-clear 1080P video and responsive handling of physics-driven scenes. Ready-to-use REST API, no coldstarts, best performance, affordable pricing.
Features
Hailuo 02 — Text-to-Video (T2V Pro)
minimax/hailuo-02/t2v-pro turns plain text into cinematic 1080p video with strong prompt adherence, realistic physics, and smooth camera motion. It’s built for creators who want film-like shots without hand-animating or storyboarding.
Why it stands out
- 1080p native output – Full-HD frames straight from the model (not upscaled).
- Enhanced motion & physics – Handles debris, cloth, impacts, and handheld shake with believable dynamics.
- Cinematic transitions – Temporal consistency reduces flicker and “slideshow” artifacts.
- Reliable prompt following – Low randomness and stable re-runs make it production-friendly.
Typical use cases
- Short-form social clips (Reels/TikTok/Shorts) with cinematic look.
- Ads & product showcases that need camera moves and physical realism.
- Film/game previz for scenes, shots, and mood boards.
- Education & explainers where motion clarifies complex ideas.
- AI storytelling—build micro-scenes purely from text.
Parameters
| Name | Description |
|---|---|
| prompt* | Describe scene, subjects, lighting, motion, and camera (e.g., “dolly-in through rainy neon alley, steam rising, reflections on wet pavement, moody synth score vibe”). |
| enable_prompt_expansion | When on, the model refines the prompt for quality and runs a safety check. |
Pricing
- Fixed price $0.48 per run.
Tips
- Write like a director: include shot type (wide/close-up), camera moves (pan/tilt/dolly/orbit), lighting, and mood.
- Use motion verbs: “drifts,” “whips,” “racks focus,” “particles swirl,” “fog rolls.”
- Iterate fast: start at 6s to nail motion/lighting, then switch to 10s for the hero take.
- Keep style consistent: repeat key style words at the start and end of the prompt.
How to use (super short)
- Prompt – Write a cinematic description (motion + lighting + mood).
- Prompt expansion – Keep ON for smarter parsing & safety.
- Run – Generate, review, tweak prompt/seed, and iterate.
Example prompts
- Epic aerial of glacial cliffs at dawn, low clouds hugging the ice; camera orbits slowly, sun flare blooms; photoreal, crisp 1080p, cinematic grade.
- Retro-futuristic race through neon tunnel, camera dolly-zoom, motion-blur streaks, sparks from hover-wheels, synthwave palette, dramatic backlight.
- Cozy study room, golden hour; slow push-in to a steaming mug, dust motes in sunbeam, shallow depth of field, warm film emulation.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/minimax/hailuo-02/t2v-pro" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"enable_prompt_expansion": true
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| enable_prompt_expansion | boolean | No | true | - | The model automatically optimizes incoming prompts to enhance output quality. This also activates the safety checker, which ensures content safety by detecting and filtering potential risks. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |