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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_path |
string
|
Input image
|
|
fps |
integer
|
14
|
Frames per second
|
frames |
integer
|
28
|
Frames
|
motion_bucket_id |
integer
|
127
Min: 1 Max: 255 |
overall motion
|
cond_aug |
number
|
0.02
Min: -0.4 Max: 0.4 |
noise
|
ksampler_steps |
integer
|
20
Min: 1 Max: 90 |
more accurate to prompt but longer
|
cfg |
number
|
2.5
Max: 10 |
cfg
|
crf |
integer
|
20
Max: 100 |
crf
|
mask_radius |
number
|
10.1
Min: 1 Max: 50 |
radius of mask
|
grow_mask_by |
integer
|
6
Max: 50 |
grow mask by
|
file_format |
string
(enum)
|
image/gif
Options: image/gif, image/webp, video/h264-mp4, video/h265-mp4, video/webm |
output file format
|
sizing_strategy |
string
(enum)
|
maintain_aspect_ratio
Options: maintain_aspect_ratio, crop_to_16_9, use_image_dimensions |
Decide how to resize the input image
|
playback |
string
(enum)
|
loop
Options: loop, once, reverse loop |
Decide how to resize the input image
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'format': 'uri', 'title': 'Output', 'type': 'string'}