WaveSpeedAI APIMinimaxMinimax Hailuo 02 Standard

Minimax Hailuo 02 Standard

Minimax Hailuo 02 Standard

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Hailuo 02 is an AI video-generation model delivering 768P output with fast responsiveness and strong handling of complex physics scenes. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

minimax/hailuo-02/standard

Hailuo 02 Standard is the unified model on MiniMax’s framework. It generates cinematic clips with 768p clarity, strong prompt adherence, believable physics, and smooth temporal transitions. Use it as pure T2V (text only) or guided I2V (add a start image, optional end image for a planned transition).


Why creators like it

  • One endpoint, two modes — Text-to-Video or Image-guided Video.
  • Native 768p — crisp frames, not upscaled.
  • 6s / 10s clips — quick iteration or trailer pacing.
  • Physics & motion — debris, cloth, water, handheld shake look natural.
  • Stable & repeatable — good consistency across re-runs.

Parameters

NameDescription
prompt*Describe scene, lighting, motion, and camera.
image(Optional) Use a reference/first frame (JPG/PNG) to lock composition & style.
end_image(Optional) Target frame for a guided transition.
duration6s or 10s.
enable_prompt_expansionAuto-refines prompt and runs a safety check.

Pricing

DurationCost per jobResolution
6 s$0.23768p
10 s$0.56768p

How to use (short)

  1. Write a prompt (include camera + motion + lighting).
  2. (Optional) Add image (and end_image for a transition).
  3. Pick duration (6s/10s), keep prompt expansion on.
  4. Run → review → tweak prompt → re-run.

Example prompts

  • A boy and his dog race along the beach at sunset; camera tracks low and wide, warm reflections on wet sand, gentle spray, cinematic grade.
  • Slow orbit around a neon-lit street food stall in the rain; steam and bokeh, handheld vibe, rack focus to the chef’s hands.

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/standard" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "duration": 6,
    "enable_prompt_expansion": false
}'

# 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

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagestringNo-The model generates video with the picture passed in as the first frame.Base64 encoded strings in data:image/jpeg; base64,{data} format for incoming images, or URLs accessible via the public network. The uploaded image needs to meet the following conditions: Format is JPG/JPEG/PNG; The aspect ratio is greater than 2:5 and less than 5:2; Short side pixels greater than 300px; The image file size cannot exceed 20MB.
end_imagestringNo--The model generates video with the picture passed in as the last frame.Base64 encoded strings in data:image/jpeg; base64,{data} format for incoming images, or URLs accessible via the public network. The uploaded image needs to meet the following conditions: Format is JPG/JPEG/PNG; The aspect ratio is greater than 2:5 and less than 5:2; Short side pixels greater than 300px; The image file size cannot exceed 20MB.
durationintegerNo66, 10The duration of the generated media in seconds.
enable_prompt_expansionbooleanNofalse-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

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

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