Update app.py

app.py

@@ -13,8 +13,7 @@ adapter_id = "latent-consistency/lcm-lora-sdv1-5"
 device = "cuda" if torch.cuda.is_available() else "cpu"
 pipe = AutoPipelineForImage2Image.from_pretrained("Lykon/dreamshaper-8", torch_dtype=torch.float16) if torch.cuda.is_available() else AutoPipelineForImage2Image.from_pretrained("stabilityai/sdxl-turbo")
 pipe = pipe.to(device)
-pipe.load_lora_weights(adapter_id)
-pipe.fuse_lora()
+
 def resize(value,img):
     img = Image.open(img)
     img = img.resize((value,value))