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Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| prompt |
string
|
a Corgi walking in the park at sunrise, oil painting style
|
Prompt for video generation.
|
| sample_method |
string
(enum)
|
ddpm
Options: ddim, eulerdiscrete, ddpm |
Choose a scheduler for sampling.
|
| video_length |
integer
|
16
|
Number of frames of the output video.
|
| width |
integer
|
512
|
Width of output video.
|
| height |
integer
|
320
|
Height of output video
|
| num_inference_steps |
integer
|
250
|
Number of denoising steps
|
| guidance_scale |
number
|
7
|
Scale for classifier-free guidance
|
| quality |
integer
|
9
Max: 10 |
Quality of the output vide0
|
| video_fps |
integer
|
8
|
Number of frames per second in the output video
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}