update app

app.py

@@ -113,9 +113,9 @@ pipe.load_lora_weights("dx8152/Qwen-Image-Edit-2509-Fusion",
                        weight_name="溶图.safetensors", 
                        adapter_name="fusion")
 
-pipe.load_lora_weights("Alissonerdx/BFS-Best-Face-Swap", 
-                       weight_name="bfs_face_v1_qwen_image_edit_2509.safetensors", 
-                       adapter_name="faceswap")
+pipe.load_lora_weights("ostris/qwen_image_edit_2509_shirt_design", 
+                       weight_name="qwen_image_edit_2509_shirt_design.safetensors", 
+                       adapter_name="shirt_design")
 
 try:
     pipe.transformer.set_attn_processor(QwenDoubleStreamAttnProcessorFA3())
@@ -162,8 +162,8 @@ def infer(
         raise gr.Error("Please upload both images for Fusion/Texture/FaceSwap tasks.")
     
     if not prompt:
-        if lora_adapter == "Face-Swap":
-            prompt = "Swap the face."
+        if lora_adapter == "Cloth-Design-Fuse":
+            prompt = "Put this design on their shirt."
         elif lora_adapter == "Texture Edit":
             prompt = "Apply texture to object."
         elif lora_adapter == "Fuse-Objects":
@@ -172,7 +172,7 @@ def infer(
     adapters_map = {
         "Texture Edit": "texture",
         "Fuse-Objects": "fusion",
-        "Face-Swap": "faceswap",
+        "Cloth-Design-Fuse": "shirt_design",
     }
     
     active_adapter = adapters_map.get(lora_adapter)
@@ -269,7 +269,7 @@ with gr.Blocks(css=css, theme=steel_blue_theme) as demo:
             examples=[
                 ["examples/mug.jpg", "examples/wood.jpg", "Apply wood texture to the mug.", "Texture Edit"],
                 ["examples/room.jpg", "examples/chair.jpg", "Put the chair in the room naturally.", "Fuse-Objects"],
-                ["examples/body.jpg", "examples/face.jpg", "Swap the face.", "Face-Swap"],
+                ["examples/body.jpg", "examples/face.jpg", "Put this design on their shirt.", "Cloth-Design-Fuse"],
             ],
             inputs=[image_1, image_2, prompt, lora_adapter],
             outputs=[output_image, seed],