WaveSpeedAI APIMinimaxMinimax Hailuo 02 I2V Standard

Minimax Hailuo 02 I2V Standard

Minimax Hailuo 02 I2V Standard

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Hailuo 02 by Hailuo AI is an image-to-video model delivering ultra-clear 768P video with responsive handling of physics-driven scenes. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

minimax/hailuo-02/i2v-standard — Image-to-Video

Hailuo 02 (Standard, I2V) is Hailuo AI’s image-to-video model built on MiniMax’s evolving framework. It’s fine-tuned for ultra-clear 768p output, high prompt responsiveness, and robust physics—even in chaotic, action-heavy scenes.


Why it’s great

  • Native 768p clarity – crisp frames without upscaling.
  • Strong motion & physics – believable debris, cloth, impacts, and handheld shake.
  • Cinematic continuity – smoother frame-to-frame transitions, fewer artifacts.
  • Prompt-responsive – follows detailed scene and camera directions reliably.

Parameters

  • prompt (optional) – Describe scene, lighting, and camera moves.
  • image* – Starting frame (JPG/PNG).
  • end_image (optional) – Target frame for a guided transition.
  • duration6s or 10s.
  • enable_prompt_expansion – Auto-refines the prompt and applies safety checks.

How to use (short)

  1. Upload image (and optional end_image).
  2. Add a concise prompt with motion + lighting + mood.
  3. Choose duration (6s / 10s).
  4. (Optional) Keep prompt expansion on for cleaner results.
  5. Click Run.

Pricing

DurationPrice
6 s$0.23
10 s$0.56

Example prompts

  • Slow dolly-in on a playful puppy sprinting across a sunny field, shallow depth of field, soft grass motion, warm backlight.
  • Moody sci-fi corridor; camera orbits a robot as sparks fall, volumetric fog, blue rim-light, cinematic grade.

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/i2v-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
promptstringNo-The positive prompt for the generation.
imagestringYes-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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