Image to Video Ultra

Request

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

curl

--request POST 'https://modelslab.com/api/v1/enterprise/image_to_video_ultra/img2video' \

Body

json

{    
    "key":"",    
    "init_image":"https://assets.modelslab.ai/generations/91c519f4-20fe-4834-ac47-fe5c39c44b34",    
    "prompt":"moving character",    
    "negative_prompt":"low quality",    
    "resolution":320,    
    "num_frames":92,    
    "num_inference_steps":8,    
    "guidance_scale":1.0,    
    "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.

string

Link equivalent of a valid PNG, JPEG, or other image format file to use as initial image conditioning.

string

Items you don’t want in the video.

integer

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

number

Resolution of the generated output. Maximum is 480.

integer

default:"92"

The number of frames in the generated video. Default is 92.

integer

default:"8"

Number of denoising steps. Required range: x <= 8

number

Scale for classifier-free guidance. Min is 1.0, Max is 2.0.

integer

Frames per second of the generated video. Should be less than num_frames. Maximum is 18.

boolean

default:"false"

Indicates whether the output should be in portrait mode. Accepts true or false. Default is false.

string

default:"3"

Controls the sampling shift in the generation process. Default is 3.

boolean

default:"false"

If true, stores the video in temporary storage (cleaned every 24 hours). Default is false.

string

A URL to receive a POST API call once the video generation is complete.

string

A unique ID used in the webhook response to identify the request.

​Request

​Body

​Body Attributes

Request

Body

Body Attributes