Update LoRA loading

app-controlnetlora.py

@@ -77,7 +77,7 @@ controlnet_canny = ControlNetModel.from_pretrained(
 canny_torch = SobelOperator(device=device)
 
 model_id = "nitrosocke/mo-di-diffusion"
-lcm_lora_id = "lcm-sd/lcm-sd1.5-lora"
+lcm_lora_id = "latent-consistency/lcm-lora-sdv1-5"
 
 if SAFETY_CHECKER == "True":
     pipe = StableDiffusionControlNetImg2ImgPipeline.from_pretrained(
@@ -103,8 +103,6 @@ if psutil.virtual_memory().total < 64 * 1024**3:
 # Load LCM LoRA
 pipe.load_lora_weights(
     lcm_lora_id,
-    weight_name="lcm_sd_lora.safetensors",
-    adapter_name="lcm",
     use_auth_token=HF_TOKEN,
 )