Minimax Video 01
Playground
Try it on WavespeedAI!Hailuo Video-01 boasts high compression rates, excellent text responsiveness, and diverse styles, while supporting native high resolution and high frame rate videos, comparable to cinematic quality.
Features
Hailuo Video-01
video-01 is MiniMax’s first officially released AI-native video generation model. It is designed to produce visually compelling, high-definition short videos from either text prompts or image inputs.
Key Features
-
720p Resolution at 25fps
Generates high-definition videos with smooth motion and cinematic quality. -
Cinematic Camera Movements
Built-in camera effects create dynamic and engaging storytelling visuals. -
Text-to-Video & Image-to-Video Modes
Supports both pure text input and hybrid text + image input workflows. -
High Text Responsiveness
Understands and reflects nuanced text prompts accurately in the visual output. -
High Compression Efficiency
Optimized for fast rendering and lower resource consumption without compromising quality. -
Diverse Visual Styles
Adapts to a wide range of aesthetics, from realistic to stylized video generations. -
Native High Resolution and Frame Rate
Capable of producing content that approaches cinematic standards in visual fidelity.
Current Limitations
- Video Duration: Up to 6 seconds.
(Upcoming versions will expand support to 10-second videos.)
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/video-01" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"prompt": "astronaut in a yellow suit slowly walks through a futuristic airlock door, heading into deep space. Cinematic sci-fi atmosphere, smooth slow motion",
"enable_prompt_expansion": true
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | Generate a description of the video.(Note: Maximum support 2000 characters). 1. Support inserting mirror operation instructions to realize mirror operation control: mirror operation instructions need to be inserted into the lens application position in prompt in the format of [ ]. The standard mirror operation instruction format is [C1,C2,C3], where C represents different types of mirror operation. In order to ensure the effect of mirror operation, it is recommended to combine no more than 3 mirror operation instructions. 2. Support natural language description to realize mirror operation control; using the command internal mirror name will improve the accuracy of mirror operation response. 3. mirror operation instructions and natural language descriptions can be effective at the same time. | |
| image | string | No | - | 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. | |
| enable_prompt_expansion | boolean | No | true | - | The model automatically optimizes incoming prompts to improve build quality. |
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 | Array of URLs to the generated content (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.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| 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 Query Parameters
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, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (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.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| 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 |