Update app.py

app.py

@@ -11,7 +11,7 @@ from torch import autocast, inference_mode
 import re
 import spaces
 
-@spaces.GPU
+
 def randomize_seed_fn(seed, randomize_seed):
     if randomize_seed:
         seed = random.randint(0, np.iinfo(np.int32).max)
@@ -59,7 +59,7 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 sd_pipe = StableDiffusionPipeline.from_pretrained(sd_model_id).to(device)
 sd_pipe.scheduler = DDIMScheduler.from_config(sd_model_id, subfolder = "scheduler")
 
-
+@spaces.GPU
 
 def get_example():
     case = [