Update app.py

app.py

@@ -10,7 +10,7 @@ pipe = DiffusionPipeline.from_pretrained(
 pipe.load_lora_weights("MegaTronX/MetartLoRA", weight_name="MetartLoRA.safetensors")
 pipe = pipe.to("cuda")
 
-#@spaces.GPU
+#@spaces.GPU(duration=75)
 def generate_image(prompt, num_inference_steps=25, guidance_scale=7.5, seed=None):
     """Generates an image using the FLUX.1-dev LoRA model."""
     generator = torch.Generator("cuda").manual_seed(seed) if seed else None