Minimax Hailuo 02 Fast API Documentation

Minimax Hailuo 02 Fast API Documentation

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Hailuo 02 Fast is a minimax image-to-video model that creates high-quality 6s and 10s clips at 512p for creators and marketers. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Hailuo 02 Fast is the speed/throughput variant of the Hailuo 02 engine. It animates a single image into a smooth clip in 6s or 10s, with prompt-aware motion, strong physics, and a cost optimized for rapid iteration and batch A/B testing.

Why it’s useful

  • Built for iteration — quick turnarounds for story beats, drafts, and explorations.
  • Physics-aware motion — debris, cloth, snow, and handheld shake feel believable.
  • Stable temporal flow — fewer flickers; cleaner camera moves.
  • Creator-friendly — low cost, predictable results, simple controls.

Parameters

NameDescription
image*Starting frame (JPG/PNG). Required.
promptOptional scene/camera/motion description to guide animation.
duration6s or 10s.
enable_prompt_expansionAuto-refines prompt + safety check.
go_fastPrioritize speed with a moderate quality trade-off (recommended ON).

How to use (short)

  1. Upload image (clear subject, good composition).
  2. Add a concise prompt (camera + lighting + motion).
  3. Pick duration (6s / 10s), keep go_fast on.
  4. (Optional) enable prompt expansion.
  5. Run → review → tweak prompt/seed → re-run.

Pricing

DurationCost per job
6 s$0.10
10 s$0.15

Example prompt

A top snowboarder launches off a massive kicker on a cliff’s edge; drone follows, powdered snow billows in bright sunlight; fast shutter, cinematic grade.

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'
{
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
  "duration": 6,
  "enable_prompt_expansion": true,
  "go_fast": 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/fast" \
  -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
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
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.
promptstringNo-The positive prompt for the generation.
durationintegerNo66, 10The duration of the generated media in seconds.
enable_prompt_expansionbooleanNotrue-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.
go_fastbooleanNotrue-Prioritize faster video generation speed with a moderate trade-off in visual quality

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.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
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

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<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.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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