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mgonline2021 /test-tile:3e67ddf8
            
              
                
              
            
            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 | 
|---|---|---|---|
| prompt | 
            string
            
           | 
            Prompt for the model
           | |
| input_video | 
            string
            
           | 
            Input video
           | |
| strength | 
            number
            
           | 
              0.7
             | 
            How heavily stylization affects the image
           | 
| controlnet_scale | 
            number
            
           | 
              1
             | 
            Controlnet conditioning scale
           | 
| canny_scale | 
            number
            
           | 
              1
             | 
            Canny conditioning scale
           | 
| width | 
            integer
            
           | 
              512
             | 
            width
           | 
| height | 
            integer
            
           | 
              512
             | 
            height
           | 
| batch_size | 
            integer
            
           | 
              4
             | 
            Batch size (more = faster but more memory)
           | 
| num_inference_steps | 
            integer
            
           | 
              20
             | 
            Steps to run denoising
           | 
| guidance_scale | 
            number
            
           | 
              7.5
             Min: 0.1 Max: 30 | 
            Scale for classifier-free guidance
           | 
| seed | 
            integer
            
           | 
            Seed
           | 
            
              
                
              
            
            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'}