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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 | 
|---|---|---|---|
| prompt | 
            string
            
           | 
              An astronaut riding a rainbow unicorn
             | 
            Input prompt
           | 
| negative_prompt | 
            string
            
           |  | 
            Input Negative Prompt
           | 
| image | 
            string
            
           | 
            Input image for img2img or inpaint mode
           | |
| mask | 
            string
            
           | 
            Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
           | |
| width | 
            integer
            
           | 
              1024
             | 
            Width of output image
           | 
| height | 
            integer
            
           | 
              1024
             | 
            Height of output image
           | 
| num_outputs | 
            integer
            
           | 
              1
             Min: 1 Max: 4 | 
            Number of images to output.
           | 
| scheduler | 
            None
            
           | 
              DDIM
             | 
            scheduler
           | 
| num_inference_steps | 
            integer
            
           | 
              50
             Min: 1 Max: 500 | 
            Number of denoising steps
           | 
| guidance_scale | 
            number
            
           | 
              7.5
             Min: 1 Max: 50 | 
            Scale for classifier-free guidance
           | 
| prompt_strength | 
            number
            
           | 
              0.8
             Max: 1 | 
            Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
           | 
| seed | 
            integer
            
           | 
            Random seed. Leave blank to randomize the seed
           | |
| refine | 
            None
            
           | 
              no_refiner
             | 
            Which refine style to use
           | 
| high_noise_frac | 
            number
            
           | 
              0.8
             Max: 1 | 
            for expert_ensemble_refiner, the fraction of noise to use
           | 
| refine_steps | 
            integer
            
           | 
            for base_image_refiner, the number of steps to refine, defaults to num_inference_steps
           | |
| apply_watermark | 
            boolean
            
           | 
              False
             | 
            Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.
           | 
            
              
                
              
            
            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'}