Update app.py

app.py

@@ -44,7 +44,8 @@ BRA_FILE = "beautifulRealistic_v7.safetensors"
 BRA_REV  = "801a9b1999dd7018e58a1e2b432fdccd3d1d723d"     # 固定 revision
 
 # --- IP-Adapter 本体 & LoRA ---
-IP_REPO,  IP_BIN  = "h94/IP-Adapter", "models/ip-adapter-plus-face_sd15.bin"
+### 根本修正 ### IP-Adapterの本体と画像エンコーダーを含む正しいリポジトリを指定
+IP_REPO,  IP_BIN  = "h94/IP-Adapter-FaceID", "models/ip-adapter-plus-face_sd15.bin"
 LORA_REPO,IP_LORA = "h94/IP-Adapter-FaceID", "ip-adapter-faceid-plusv2_sd15_lora.safetensors"
 
 # --- ControlNet (MediaPipe Face) ---
@@ -93,13 +94,11 @@ def init():
     pipe_.scheduler = DPMSolverMultistepScheduler.from_config(pipe_.scheduler.config)
 
     # 6-4 IP-Adapter
-    ip_lora = dl(LORA_REPO, IP_LORA)
-    
-    ### 最終修正 ### subfolder引数に空文字列""を渡し、TypeErrorを回避する
+    # LoRAも同じリポジトリにあるため、個別のdlは不要
     pipe_.load_ip_adapter(IP_REPO, "", weight_name=IP_BIN, cache_dir=str(MODELS))
     
     AttnProcsLayers(pipe_.unet.attn_processors).load_lora_weights(
-        ip_lora, adapter_name="ip_faceid", safe_load=True
+        IP_REPO, weight_name=IP_LORA, adapter_name="ip_faceid", safe_load=True, cache_dir=str(MODELS)
     )
     pipe_.set_adapters(["ip_faceid"], adapter_weights=[0.6])
     pipe_.to("cuda"); pipe_ = pipe_