Minimax Hailuo 2.3 I2V Standard
Playground
Try it on WaveSpeedAI!MiniMax Hailuo 2.3 Standard is an image-to-video model producing physics-aware 768p output with a 2.5x efficiency improvement. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Hailuo 2.3 I2V Standard is MiniMax’s latest image-to-video model, designed to animate static images into smooth, cinematic video clips. It combines natural motion synthesis, physical realism, and character consistency — enabling creators to bring still visuals vividly to life.
🎬 Why It Looks Great
- Cinematic Motion – Generates dynamic, camera-like movement such as panning, tracking, and zooming.
- Physics-Aware Animation – Simulates object dynamics (wind, light reflection, motion blur) with realistic precision.
- Consistent Structure – Preserves the original image’s composition, lighting, and character details.
- Flexible Duration Options – Choose between 6-second and 10-second clips.
- Professional Fidelity – Delivers filmic quality suitable for storytelling, ads, or product demos.
⚙️ Limits and Performance
- Input: single reference image (JPEG / PNG)
- Optional Input: text prompt to guide motion and scene behavior
- Duration: 6 seconds or 10 seconds
- Output resolution: 768p
💰 Pricing
| Duration | Resolution | Cost per Job |
|---|---|---|
| 6 seconds | 768p | $0.28 |
| 10 seconds | 768p | $0.56 |
🚀 How to Use
- Upload a reference image as your base frame.
- (Optional) Add a prompt describing the desired motion or action. Example: “A motorcycle drives along a winding mountain road, camera panning smoothly to follow.”
- Choose the duration (6 s or 10 s).
- Click Run and wait for processing.
- Download your animated video.
💡 Pro Tips
- Keep prompts concise (1–2 sentences) to maintain visual stability.
- Use camera verbs like pan, follow, zoom, or rotate to define motion direction.
- For dynamic results, pick 10 s; for previews or loops, choose 6 s.
- The model preserves fine lighting and depth details — great for cinematic storytelling and concept visuals.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 6,
"enable_prompt_expansion": false
}
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/i2v-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
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | 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. | |
| prompt | string | No | - | The positive prompt for the generation. | |
| duration | integer | No | 6 | 6, 10 | The duration of the generated media in seconds. |
| enable_prompt_expansion | boolean | No | false | - | 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
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<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.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |