test

app.py

@@ -95,6 +95,7 @@ if gr.NO_RELOAD:
     def init(pipe):
         pipe.enable_xformers_memory_efficient_attention()
         pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
+        pipe.compile()
         print("Model Compiled!")
     init(pipe)
 
@@ -359,14 +360,14 @@ def process_image(
     start = time.time()
     preprocessor.load("NormalBae")
     # preprocessor.load("Canny") #20 steps, 9 guidance, 512, 512
+    
     global compiled
-
     if not compiled:
-        seed = random.randint(0, MAX_SEED)
-        generator = torch.cuda.manual_seed(seed)
         print("Not Compiled")
         compiled = True
-    
+        
+    seed = random.randint(0, MAX_SEED)
+    generator = torch.cuda.manual_seed(seed)
     control_image = preprocessor(
         image=image,
         image_resolution=image_resolution,