update app

app.py

@@ -14,7 +14,7 @@ try:
 except ImportError:
     class spaces:
         @staticmethod
-        def GPU(duration=60):
+        def GPU(duration=30):
             def decorator(func):
                 return func
             return decorator
@@ -135,7 +135,7 @@ pipe.load_lora_weights("dx8152/Qwen-Image-Edit-2509-Fusion",
 
 # 3. Face Swap
 pipe.load_lora_weights("Alissonerdx/BFS-Best-Face-Swap",
-                       weight_name="bfs_head_v3_qwen_image_edit_2509.safetensors",
+                       weight_name="bfs_face_v1_qwen_image_edit_2509.safetensors",
                        adapter_name="face-swap")
 
 
@@ -169,7 +169,7 @@ def update_dimensions_on_upload(image):
     
     return new_width, new_height
 
-@spaces.GPU(duration=60)
+@spaces.GPU(duration=30)
 def infer(
     input_gallery_items,
     prompt,
@@ -235,7 +235,7 @@ def infer(
 
     return result, seed
 
-@spaces.GPU(duration=60)
+@spaces.GPU(duration=30)
 def infer_example(input_gallery_items, prompt, lora_adapter):
     # input_gallery_items will be the list structure from gr.Examples
     if not input_gallery_items:
@@ -252,8 +252,8 @@ def infer_example(input_gallery_items, prompt, lora_adapter):
         lora_adapter, 
         seed=0, 
         randomize_seed=True, 
-        guidance_scale=4.0, 
-        steps=30
+        guidance_scale=1.0, 
+        steps=4
     )
 
 
@@ -305,8 +305,6 @@ with gr.Blocks(css=css, theme=steel_blue_theme) as demo:
                     guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=1.0)
                     steps = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=4)
         
-        # FIX: Correctly formatted inputs for gr.Gallery in Examples.
-        # Each example input corresponding to the Gallery component must be a LIST of images.
         gr.Examples(
             examples=[
                 # Format: [ [Image_List], Prompt, Adapter ]