Minimax Hailuo 02 T2V Pro API Documentation
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
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 $0.48 per run.
Tips
- Write like a director: include shot type (wide/close-up), camera moves (pan/tilt/dolly/orbit), lighting, and mood.
- Use motion verbs: “drifts,” “whips,” “racks focus,” “particles swirl,” “fog rolls.”
- Iterate fast: start at 6s to nail motion/lighting, then switch to 10s for the hero take.
- Keep style consistent: repeat key style words at the start and end of the prompt.
How to use (super short)
- Prompt – Write a cinematic description (motion + lighting + mood).
- Prompt expansion – Keep ON for smarter parsing & safety.
- Run – Generate, review, tweak prompt/seed, and iterate.
Example prompts
- Epic aerial of glacial cliffs at dawn, low clouds hugging the ice; camera orbits slowly, sun flare blooms; photoreal, crisp 1080p, cinematic grade.
- Retro-futuristic race through neon tunnel, camera dolly-zoom, motion-blur streaks, sparks from hover-wheels, synthwave palette, dramatic backlight.
- Cozy study room, golden hour; slow push-in to a steaming mug, dust motes in sunbeam, shallow depth of field, warm film emulation.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"enable_prompt_expansion": true
}
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/t2v-pro" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${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
doneParameters
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 | Output values, usually URL strings; some models return text strings or structured result objects (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.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 |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |