Update app.py

app.py

@@ -270,7 +270,7 @@ def remove_custom_lora(selected_indices, current_loras):
         lora_image_2
     )
 
-@spaces.GPU(duration=90)
+@spaces.GPU(duration=75)
 def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, progress):
     print("Generating image...")
     pipe.to("cuda")
@@ -290,7 +290,7 @@ def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, progress)
         ):
             yield img
 
-@spaces.GPU(duration=90)
+@spaces.GPU(duration=75)
 def generate_image_to_image(prompt_mash, image_input_path, image_strength, steps, cfg_scale, width, height, seed):
     pipe_i2i.to("cuda")
     generator = torch.Generator(device="cuda").manual_seed(seed)
@@ -309,7 +309,6 @@ def generate_image_to_image(prompt_mash, image_input_path, image_strength, steps
     ).images[0]
     return final_image
 
-@spaces.GPU(duration=90)
 def run_lora(prompt, image_input, image_strength, cfg_scale, steps, selected_indices, lora_scale_1, lora_scale_2, randomize_seed, seed, width, height, loras_state, progress=gr.Progress(track_tqdm=True)):
     if not selected_indices:
         raise gr.Error("You must select at least one LoRA before proceeding.")