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jschoormans /zara-striped-shirt:5259afe9
            
              
                
              
            
            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
            
           
         | 
        
          
             
              K_EULER
             
          
          
          
         | 
        
           
            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
            
           
         | 
        
          
             
              True
             
          
          
          
         | 
        
           
            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.
           
         | 
      
| lora_scale | 
           
            number
            
           
         | 
        
          
             
              0.6
             
          
          
          
            Max: 1  | 
        
           
            LoRA additive scale. Only applicable on trained models.
           
         | 
      
| replicate_weights | 
           
            string
            
           
         | 
        
           
            Replicate LoRA weights to use. Leave blank to use the default weights.
           
         | 
      |
| disable_safety_checker | 
           
            boolean
            
           
         | 
        
          
             
              False
             
          
          
          
         | 
        
           
            Disable safety checker for generated images. This feature is only available through the API. See https://replicate.com/docs/how-does-replicate-work#safety
           
         | 
      
            
              
                
              
            
            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'}