Update app.py

app.py

@@ -17,9 +17,13 @@ LORA_WRONG_REPO = "minimaxir/sdxl-wrong-lora"  # [web:183]
 LORA_WRONG_ADAPTER = "wrong_prompt"
 
 # LoRA visages / détails
-LORA_FACE_REPO = "akash-guptag/Detailers_By_Stable_Yogi"  # [web:60][web:63]
+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")
+
+
 DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 DTYPE = torch.float16 if DEVICE == "cuda" else torch.float32
 
@@ -50,6 +54,8 @@ 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")
+
 os.makedirs("outputs", exist_ok=True)
 
 
@@ -99,8 +105,8 @@ 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]
-    weights = [1.0, float(face_weight)]
+    adapters = [LORA_WRONG_ADAPTER, LORA_FACE_ADAPTER, "ntc-ai/SDXL-LoRA-slider.sexy"]
+    weights = [1.0, float(face_weight), 3.0]
     pipe.set_adapters(adapters, adapter_weights=weights)
 
     try: