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ayushunleashed /minimax-remover:f486e4c1
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 file with objects to be removed
|
|
| mask |
string
|
Mask video file where white areas indicate objects to remove. See examples: https://replicate.com/ayushunleashed/minimax-remover/readme
|
|
| num_frames |
integer
|
-1
Min: -1 |
Number of frames to process (-1 = same as original video)
|
| height |
integer
|
-1
Min: -1 |
Output video height (-1 = same as original video, auto-scaled to max 1920px if needed)
|
| width |
integer
|
-1
Min: -1 |
Output video width (-1 = same as original video, auto-scaled to max 1920px if needed)
|
| fps |
integer
|
-1
Min: -1 |
Output video FPS (-1 = same as original video)
|
| num_inference_steps |
integer
|
6
Min: 1 Max: 50 |
Number of denoising steps (higher = better quality, slower. 6=fast, 8=balanced, 12=high quality)
|
| mask_dilation_iterations |
integer
|
8
Min: 1 Max: 20 |
Mask expansion iterations for robust removal (higher = more thorough removal)
|
| seed |
integer
|
Random seed for reproducible results (leave blank for random)
|
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'}