Update app.py

app.py

@@ -50,7 +50,7 @@ image_examples = [
     
 ]
 
-@spaces.GPU(enable_queue=True)
+@spaces.GPU
 def load_model(base_model_path, lora_path):
     global pipe 
     transformer = FluxTransformer2DModel.from_pretrained(base_model_path, subfolder='transformer', torch_dtype=torch.bfloat16)
@@ -84,7 +84,7 @@ def load_model(base_model_path, lora_path):
     gr.Info(str(f"Inject LoRA: {lora_path}"))
     pipe.load_lora_weights(lora_path, weight_name="pytorch_lora_weights.safetensors")
     gr.Info(str(f"Model loading: {int((100 / 100) * 100)}%"))
-@spaces.GPU(enable_queue=True)
+@spaces.GPU
 def set_seed(seed):
     torch.manual_seed(seed)
     torch.cuda.manual_seed(seed)
@@ -92,7 +92,7 @@ def set_seed(seed):
     np.random.seed(seed)
     random.seed(seed)
 
-@spaces.GPU(enable_queue=True)   
+@spaces.GPU 
 def predict(
     input_image,
     prompt,