minor

app.py

@@ -63,13 +63,13 @@ with gr.Blocks(css="style.css") as demo:
         # if image_editor is not None:
         #     image_editor = image_editor.to('cpu')
 
-        num_inference_steps = int(num_inference_steps) if isinstance(num_inference_steps, str) 
-        num_inversion_steps = int(num_inversion_steps) if isinstance(num_inversion_steps, str) 
-        edit_guidance_scale = float(edit_guidance_scale) if isinstance(edit_guidance_scale, str) 
-        inversion_max_step = float(inversion_max_step) if isinstance(inversion_max_step, str) 
-        rnri_iterations = int(rnri_iterations) if isinstance(rnri_iterations, str) 
-        rnri_alpha = float(rnri_alpha) if isinstance(rnri_alpha, str) 
-        rnri_lr = float(rnri_lr) if isinstance(rnri_lr, str) 
+        if isinstance(num_inference_steps, str): num_inference_steps = int(num_inference_steps) 
+        if isinstance(num_inversion_steps, str): num_inversion_steps = int(num_inversion_steps) 
+        if isinstance(edit_guidance_scale, str): edit_guidance_scale = float(edit_guidance_scale)  
+        if isinstance(inversion_max_step, str): inversion_max_step = float(inversion_max_step) 
+        if isinstance(rnri_iterations, str): rnri_iterations = int(rnri_iterations)  
+        if isinstance(rnri_alpha, str): rnri_alpha = float(rnri_alpha)
+        if isinstance(rnri_lr, str): rnri_lr = float(rnri_lr) 
         
         
         config = RunConfig(num_inference_steps=num_inference_steps,