Update app.py

app.py

@@ -2158,7 +2158,7 @@ def update_selection(evt: gr.SelectData, width, height):
         height,
     )
 
-@spaces.GPU(duration=60)
+@spaces.GPU(duration=45)
 def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, lora_scale, progress):
     pipe.to("cuda")
     generator = torch.Generator(device="cuda").manual_seed(seed)
@@ -2195,7 +2195,7 @@ def generate_image_to_image(prompt_mash, image_input_path, image_strength, steps
     ).images[0]
     return final_image 
 
-@spaces.GPU(duration=60)
+@spaces.GPU(duration=45)
 def run_lora(prompt, image_input, image_strength, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)):
     if selected_index is None:
         raise gr.Error("You must select a LoRA before proceeding.🧨")