Update app.py

app.py

@@ -290,7 +290,6 @@ def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, progress)
         ):
             yield img
 
-@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)
@@ -309,6 +308,7 @@ def generate_image_to_image(prompt_mash, image_input_path, image_strength, steps
     ).images[0]
     return final_image
 
+@spaces.GPU(duration=75)
 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.")
@@ -349,7 +349,7 @@ def run_lora(prompt, image_input, image_strength, cfg_scale, steps, selected_ind
             pipe_to_use.load_lora_weights(
                 lora_path, 
                 weight_name=weight_name if weight_name else None,
-                low_cpu_mem_usage=False,
+                low_cpu_mem_usage=True,
                 adapter_name=lora_name
             )
         print("Loaded LoRAs:", lora_names)