Hailuo 1.0 Text to Video

minimax-t2v-01

Hailuo 1.0 Text to Video converts text prompts into dynamic videos with intelligent scene composition and natural camera motion.

Endpoints

POST /v1/queue/minimax-t2v-01 # Create task

GET /v1/queue/minimax-t2v-01/requests/{request_id}/status # Check status

GET /v1/queue/minimax-t2v-01/requests/{request_id}/response # Get result

PUT /v1/queue/minimax-t2v-01/requests/{request_id}/cancel # Cancel task

Request parameters

curl --location "https://odirouter.ai/model/v1/queue/minimax-t2v-01" \
  --header "Authorization: Bearer YOUR_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "prompt": "A red apple slowly rotating on a white table, clean studio lighting, static camera.",
    "duration": 6,
    "resolution": "720P"
  }'

prompt string required

Text description for the video. Length must be between 1 and 2000 characters.

duration int

Video duration in seconds. Fixed at 6 seconds and cannot be changed.

Options: 6

Default: 6

resolution string

Video resolution. Fixed at 720P and cannot be changed.

Options: 720P

Default: 720P

prompt_optimizer bool

Whether to enable the prompt optimizer. Set to false for more precise control.

Default: true

aigc_watermark bool

Whether to add a watermark to the generated video.

Default: false

Response parameters

{
  "request_id": "mmsu_01hxyz...",
  "response_url": "https://odirouter.ai/model/v1/queue/minimax-t2v-01/requests/mmsu_01hxyz.../response",
  "status_url": "https://odirouter.ai/model/v1/queue/minimax-t2v-01/requests/mmsu_01hxyz.../status",
  "cancel_url": "https://odirouter.ai/model/v1/queue/minimax-t2v-01/requests/mmsu_01hxyz.../cancel",
  "queue_position": 0
}

Field	Type	Description
`request_id`	string	Task ID used for all follow-up operations.
`response_url`	string	URL to fetch the final result.
`status_url`	string	URL to query task status.
`cancel_url`	string	URL to cancel the task.
`queue_position`	int	Current queue position.

Follow-up operations

Check status

Get result

Cancel task

Error handling