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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 |
|---|---|---|---|
| image |
string
|
Input image for img2vid mode
|
|
| width |
integer
|
1024
|
Width of output video
|
| height |
integer
|
576
|
Height of output video
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
| num_frames |
integer
|
25
|
Frame count
|
| decode_chunk_size |
integer
|
8
|
the VAE decodes frames in chunks instead of decoding them all together
|
| num_inference_steps |
integer
|
25
|
Steps
|
| enable_deepcache |
boolean
|
True
|
Enable Deepcache can leads to faster inference speed
|
| cache_interval |
integer
|
3
|
Deepcache interval, set it larger to run faster at the expense of reduced image quality
|
| cache_branch_id |
integer
|
3
|
Deepcache branch id, set it smaller to run faster at the expense of reduced image quality (minimum: 0)
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}