Minimax Hailuo 02 T2V Standard

Minimax Hailuo 02 T2V Standard

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Hailuo 02 is a text-to-video model on MiniMax, fine-tuned to output responsive 768P videos even for complex physics-driven scenes. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

minimax/hailuo-02/t2v-standard converts pure text into cinematic video with strong prompt adherence, believable physics, and smooth scene transitions. Built on MiniMax’s evolving framework, it balances quality, speed, and cost for everyday creative production.

Why it works

  • 768p output — crisp frames, ready for editing.
  • 6s / 10s clips — fast ideation or trailer-style beats.
  • Enhanced motion & physics — debris, cloth, water, camera shake look natural.
  • Cinematic continuity — fewer artifacts; smoother temporal flow.
  • Repeatable — low randomness for the same prompts.

Limits & Performance

  • Resolution: 768p
  • Durations: 6s or 10s
  • Runtime: ~30–90 s per clip (scene complexity & queue dependent)

Pricing

DurationCost per jobMax Resolution
6 s$0.23768p
10 s$0.56768p

How to Use

  1. Prompt — Describe scene, lighting, motion, and camera.
  2. Duration — Choose 6s or 10s.
  3. (Optional) Prompt expansion — Enable for smarter parsing & safety.
  4. Run — Review, tweak prompt/seed, and iterate.

Pro Tips

  • Write like a director: shot type, camera move, lighting, mood.
  • Use action verbs: dolly in, orbit, rack focus, particles swirl.
  • Start with 6s for quick iterations; assemble multiple clips for longer stories.
  • Add your own music/VO for complete narratives.

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",
  "duration": 6,
  "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-standard" \
  -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
promptstringYes-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.

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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