You're looking at a specific version of this model. Jump to the model overview.
jd7h /propainter:02c64dff
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 |
---|---|---|---|
video |
string
|
Input video
|
|
mask |
string
|
Mask
|
|
resize_ratio |
number
|
1
|
Resize scale for processing video.
|
height |
integer
|
-1
|
Height of the processing video.
|
width |
integer
|
-1
|
Width of the processing video.
|
mask_dilation |
integer
|
4
|
Mask dilation for video and flow masking.
|
ref_stride |
integer
|
10
|
Stride of global reference frames.
|
neighbor_length |
integer
|
10
|
Length of local neighboring frames.
|
subvideo_length |
integer
|
80
|
Length of sub-video for long video inference.
|
raft_iter |
integer
|
20
|
Iterations for RAFT inference.
|
mode |
string
(enum)
|
video_inpainting
Options: video_inpainting, video_outpainting |
Modes: video_inpainting / video_outpainting
|
scale_h |
number
|
1
|
Outpainting scale of height for video_outpainting mode.
|
scale_w |
number
|
1.2
|
Outpainting scale of width for video_outpainting mode.
|
save_fps |
integer
|
24
|
Frames per second.
|
fp16 |
boolean
|
False
|
Use fp16 (half precision) during inference. Default: fp32 (single precision).
|
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'}