Update app.py

app.py

@@ -14,10 +14,10 @@ pipeline = pipeline.to("cuda")
 def predict(mask_img):
     prompt = "a green frog, highly detailed, natural lighting"
     image = pipeline(prompt=prompt,
-                     #num_inference_steps=35,
-                     image=mask_img["image"].convert("RGB").resize((512, 512)), 
-                     mask_image=mask_img["mask"].convert("RGB").resize((512, 512)) 
-                     #guidance_scale=9
+                     num_inference_steps=35,
+                     image=mask_img["image"].convert("RGB"), 
+                     mask_image=mask_img["mask"].convert("RGB"),
+                     guidance_scale=9
                     ).images[0]
      
     return image