Update app.py

app.py

@@ -29,18 +29,18 @@ pipe.enable_xformers_memory_efficient_attention()
 def super_esr(source_image,prompt,negative_prompt,strength,seed,num_inference_steps):
     condition_image = resize_for_condition_image(source_image, 1024)
     
-    # image = pipe(prompt=prompt,#"best quality", 
-    #             negative_prompt="blur, lowres, bad anatomy, bad hands, cropped, worst quality", 
-    #             image=condition_image, 
-    #             controlnet_conditioning_image=condition_image, 
-    #             width=condition_image.size[0],
-    #             height=condition_image.size[1],
-    #             strength=1.0,
-    #             generator=seed,
-    #             num_inference_steps=num_inference_steps,
-    #             ).image
+    image = pipe(prompt=prompt,#"best quality", 
+                negative_prompt="blur, lowres, bad anatomy, bad hands, cropped, worst quality", 
+                image=condition_image, 
+                controlnet_conditioning_image=condition_image, 
+                width=condition_image.size[0],
+                height=condition_image.size[1],
+                strength=1.0,
+                generator=seed,
+                num_inference_steps=num_inference_steps,
+                ).image
     # print(source_image,prompt,negative_prompt,strength,seed,num_inference_steps)
-    return condition_image
+    return image
 
 #define laund take input nsame as super_esr function