Minimax Hailuo 2.3 Fast Pro

Minimax Hailuo 2.3 Fast Pro

Playground

Try it on WaveSpeedAI!

Hailuo 2.3 Fast Pro converts images into high-quality 6s 1080p videos, delivering fast, affordable results for creators and marketers. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Hailuo 2.3 Fast Pro is the high-speed 1080p version of MiniMax’s latest video generation model. It produces cinematic-quality videos 30–50% faster than the standard model while maintaining stable motion, clear detail, and balanced lighting — ideal for creators who need both speed and quality.


⚡ Why It’s Great

  • Accelerated Generation – Create 6 second clips up to twice as fast as Hailuo 2.3 Standard.
  • High Efficiency, Low Cost – Perfect for batch content creation, previews, and iteration loops.
  • Consistent Quality – Despite faster generation, visual stability and motion smoothness remain impressive.
  • Safety & Prompt Expansion – Built-in safety checker and automatic prompt enhancement for optimal output.
  • Flexible Durations – Supports 6-second formats at 1080p clarity.

🧩 Input Parameters

  • prompt (optional, text) Your scene description.

  • image* (required) Reference image URL or upload.

  • enable_prompt_expansion (checkbox) Auto-enhances your prompt to improve quality and coherence. Also enables the safety checker to filter risky content.

  • go_fast (checkbox) Prioritize speed with a moderate trade-off in visual quality—great for rapid iteration.


🚀 How to Use (step-by-step)

  1. Provide image (required). Paste a URL or upload a clear reference image to stabilize identity, pose, and layout.
  2. Write prompt (optional). Keep it concise: subject + camera/lighting/motion. Prompt Expansion can refine details.
  3. Enable enable_prompt_expansion (recommended). Better coherence and details, with built-in safety checks.
  4. Toggle go_fast. Faster results for previews and batch iteration.
  5. Click Run and receive your clip.

💰 Pricing

DurationResolutionCost per Job
6 seconds1080p$0.33

💡 Pro Tips

  • Keep prompts concise — the model auto-expands them intelligently.
  • Use lighting cues like sunset, studio light, or cinematic glow for richer output.
  • Combine clips to create longer edits using consistent camera language.

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-2.3/fast-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
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.
durationintegerNo66The 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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