Update app.py

app.py

@@ -20,8 +20,9 @@ LORA_WRONG_ADAPTER = "wrong_prompt"
 LORA_FACE_REPO = "akash-guptag/Detailers_By_Stable_Yogi"  
 LORA_FACE_ADAPTER = "face_detail"
 
-# Load the LoRA
-pipe.load_lora_weights('ntc-ai/SDXL-LoRA-slider.sexy', weight_name='sexy.safetensors', adapter_name="sexy")
+LORA_SEXY_REPO = "ntc-ai/SDXL-LoRA-slider.sexy"
+LORA_SEXY_ADAPTER ="sexy"
+
 
 
 DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
@@ -54,7 +55,7 @@ pipe.load_lora_weights(LORA_WRONG_REPO, adapter_name=LORA_WRONG_ADAPTER)
 print("Chargement LoRA face/detail (Stable Yogi)...")
 pipe.load_lora_weights(LORA_FACE_REPO, adapter_name=LORA_FACE_ADAPTER)
 
-pipe.load_lora_weights("ntc-ai/SDXL-LoRA-slider.sexy", adapter_name="sexy.safetensors")
+pipe.load_lora_weights(LORA_SEXY_REPO, adapter_name=LORA_SEXY_ADAPTER)
 
 os.makedirs("outputs", exist_ok=True)
 
@@ -105,7 +106,7 @@ def generate(
         final_negative = "wrong, blurry, low quality, deformed, bad anatomy, extra limbs"
 
     # On combine les deux LoRA : WRONG à 1.0, face en slider
-    adapters = [LORA_WRONG_ADAPTER, LORA_FACE_ADAPTER, "ntc-ai/SDXL-LoRA-slider.sexy"]
+    adapters = [LORA_WRONG_ADAPTER, LORA_FACE_ADAPTER, LORA_SEXY_ADAPTER]
     weights = [1.0, float(face_weight), 3.0]
     pipe.set_adapters(adapters, adapter_weights=weights)