fixing bugs

app.py

@@ -85,14 +85,14 @@ try:
     pipe = StableDiffusionXLImg2ImgPipeline.from_pretrained(
         "stabilityai/stable-diffusion-xl-base-1.0",
         torch_dtype=torch_dtype,
-        use_safetensors=True,
-        variant=None  # Forçar carregamento sem fp16
+        use_safetensors=True
     ).to(device)
 
     # LoRA
     pipe.load_lora_weights(
         "KappaNeuro/bas-relief",
-        weight_name="BAS-RELIEF.safetensors"
+        weight_name="BAS-RELIEF.safetensors",
+        peft_backend="peft"          # This is crucial
     )
 
     # Modelo de profundidade