Update app.py

app.py

@@ -473,10 +473,14 @@ def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, progress)
 
 @spaces.GPU(duration=75)
 def run_lora(prompt, cfg_scale, steps, selected_indices, lora_scale_1, lora_scale_2, randomize_seed, seed, width, height, loras_state, progress=gr.Progress(track_tqdm=True)):
+    print("run_lora function called.")  # Debugging statement
+    print(f"Inputs received - Prompt: {prompt}, CFG Scale: {cfg_scale}, Steps: {steps}, Seed: {seed}, Width: {width}, Height: {height}")  # Debugging statement
+
     if not selected_indices:
         raise gr.Error("You must select at least one LoRA before proceeding.")
 
     selected_loras = [loras_state[idx] for idx in selected_indices]
+    print(f"Selected LoRAs: {selected_loras}")  # Debugging statement
 
     # Build the prompt with trigger words
     prepends = []
@@ -496,7 +500,7 @@ def run_lora(prompt, cfg_scale, steps, selected_indices, lora_scale_1, lora_scal
         pipe.unload_lora_weights()
         pipe_i2i.unload_lora_weights()
         
-    print(pipe.get_active_adapters())
+    print("Active adapters before loading new LoRAs:", pipe.get_active_adapters())
     
     # Load LoRA weights with respective scales
     lora_names = []
@@ -524,7 +528,7 @@ def run_lora(prompt, cfg_scale, steps, selected_indices, lora_scale_1, lora_scal
         else:
             pipe.set_adapters(lora_names, adapter_weights=lora_weights)
     
-    print(pipe.get_active_adapters())
+    print("Active adapters after loading new LoRAs:", pipe.get_active_adapters())
     
     # Set random seed for reproducibility
     with calculateDuration("Randomizing seed"):