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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 |
|---|---|---|---|
| input_video |
string
|
Input video file
|
|
| draw_box |
boolean
|
False
|
Draw box around detected faces
|
| bg_enhancement |
boolean
|
False
|
Enable background enhancement using RealESRGAN
|
| upscale |
integer
|
1
Min: 1 |
Upscaling factor for enhancement (RealESRGAN)
|
| max_length |
integer
|
20
Min: 1 |
Maximum number of frames to process in one batch for KEEP model
|
| has_aligned |
boolean
|
False
|
Set to true if faces in the video are already aligned and cropped (512x512)
|
| only_center_face |
boolean
|
True
|
Process only the center face if multiple faces are detected
|
| detection_model |
string
(enum)
|
retinaface_resnet50
Options: retinaface_resnet50, retinaface_mobile0.25, yolov5n, yolov5l |
Face detection model to use
|
| face_upsample |
boolean
|
False
|
Upsample restored faces using RealESRGAN
|
| bg_tile |
integer
|
400
Min: 64 |
Tile size for background upsampler (RealESRGAN)
|
| save_video_fps |
number
|
FPS for the output video. If None, uses original FPS.
|
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'}