adjust the spaces duration

app.py

@@ -3,10 +3,10 @@ import numpy as np
 import random
 import spaces
 import torch
-from diffusers import DiffusionPipeline, FlowMatchEulerDiscreteScheduler
-from transformers import CLIPTextModel, CLIPTokenizer, T5EncoderModel, T5TokenizerFast
-from huggingface_hub import hf_hub_download
-import os
+from diffusers import DiffusionPipeline#, FlowMatchEulerDiscreteScheduler
+# from transformers import CLIPTextModel, CLIPTokenizer, T5EncoderModel, T5TokenizerFast
+# from huggingface_hub import hf_hub_download
+# import os
 
 dtype = torch.bfloat16
 
@@ -28,7 +28,7 @@ print(f"Device is: {device}")
 pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to(device)
 
 
-@spaces.GPU(duration=300)
+@spaces.GPU(duration=120)
 def infer(prompt, lora_models, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=5.0,
           num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
     global pipe