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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 |
|---|---|---|---|
| media |
string
|
Video (mp4/mov) or image (png/jpg/webp) to restore.
|
|
| cfg_scale |
number
|
1
Max: 15 |
Classifier-free guidance scale (higher = stronger restoration).
|
| sample_steps |
integer
|
1
Min: 1 Max: 4 |
Sampling steps (1 = fast one-step mode).
|
| sp_size |
integer
|
1
Min: 1 Max: 4 |
Sequence-parallel shard heuristic (single-GPU build only accepts 1).
|
| fps |
integer
|
24
Min: 1 Max: 120 |
Frames-per-second for video outputs.
|
| seed |
integer
|
Random seed. Leave blank for a random seed each call.
|
|
| output_format |
None
|
webp
|
Image output format (only used for image inputs).
|
| output_quality |
integer
|
90
Min: 10 Max: 100 |
Image quality for lossy formats (jpg/webp).
|
| apply_color_fix |
boolean
|
False
|
Apply optional wavelet color correction (matches official demo).
|
| model_variant |
None
|
3b
|
Model size to run.
|
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'}