Update app.py

app.py

@@ -8,15 +8,16 @@ pipeline = StableDiffusionInpaintPipeline.from_pretrained(
     revision="fp16"
 )
  
-pipeline = pipeline.to("cuda")
+#pipeline = pipeline.to("cuda")
 
 def predict(mask_img):
     prompt = "a green frog, highly detailed, natural lighting"
     image = pipeline(prompt=prompt,
-                     num_inference_steps=35,
+                     #num_inference_steps=35,
                      image=mask_img["image"], 
-                     mask_image=mask_img["mask"], 
-                     guidance_scale=9).images[0]
+                     mask_image=mask_img["mask"] 
+                     #guidance_scale=9
+                    ).images[0]
      
     return image