Text to Video - ModelsLab

Make sure you add your s3 details for the minimax_h3 server, so you can receive the video generated in your bucket. Videos generated without s3 details being added will be deleted after 24 hours.

Request

Make a POST request to below endpoint and pass the required parameters as a request body.

curl

--request POST 'https://modelslab.com/api/v1/enterprise/minimax_h3/text2video' \

Body

json

{
  "key": "enterprise_api_key",
  "prompt": "a lone astronaut walking across a red dune at sunset, cinematic wide shot",
  "width": 1024,
  "height": 576,
  "duration": 5,
  "num_frames": 120,
  "num_inference_steps": 30,
  "seed": null,
  "instant_response": false,
  "temp": false,
  "webhook": null,
  "track_id": null
}

Body Attributes

string

required

Your API Key used for request authorization.

string

required

Text prompt with a description of the things you want in the video to be generated. The prompt is the only thing this endpoint has to work from, so it is required.

number

Width of the generated frame. Must be a multiple of 32 and at most 1536. Must be sent together with height.

number

Height of the generated frame. Must be a multiple of 32 and at most 1536. Must be sent together with width.

number

Length of the generated video in seconds. Minimum is 5, maximum is 15.

number

The number of frames in the generated video. Minimum is 120, maximum is 345.

number

Number of denoising steps. Minimum is 1, maximum is 50.

number

Seed is used to reproduce results. The same seed will give you the same video again. Pass null for a random number.

boolean

default:"false"

Queue response instantly before processing finishes instead of waiting a minimum amount of time. default: false, options: true or false.

boolean

default:"false"

If true, stores the video in temporary storage which is cleaned every 24 hours. default: false, options: true or false.

string

Set a URL to get a POST API call once the video generation is complete.

string

This ID is returned in the response to the webhook API call. This will be used to identify the webhook request.