update app

app.py

@@ -254,7 +254,6 @@ def flux_pipe_call_that_returns_an_iterable_of_images(
     torch.cuda.empty_cache()
     yield self.image_processor.postprocess(image, output_type=output_type)[0]
 
-#------------------------------------------------------------------------------------------------------------------------------------------------------------#
 loras = [
     #63
     {
@@ -1097,11 +1096,9 @@ loras = [
         "weights": "midjourney-painterly.safetensors",
         "trigger_word": "mj painterly"    
     }, 
-    #103
+    
 ]
 
-#--------------------------------------------------Model Initialization-----------------------------------------------------------------------------------------#
-
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 base_model = "black-forest-labs/FLUX.1-dev"
@@ -1163,7 +1160,7 @@ def update_selection(evt: gr.SelectData, width, height):
         height,
     )
 
-@spaces.GPU(duration=100)
+@spaces.GPU
 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)
@@ -1200,7 +1197,7 @@ def generate_image_to_image(prompt_mash, image_input_path, image_strength, steps
     ).images[0]
     return final_image 
 
-@spaces.GPU(duration=100)
+@spaces.GPU
 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.🧨")