Update LoRA loading

app.py

@@ -58,9 +58,7 @@ if TORCH_COMPILE:
 
 # Load LCM LoRA
 pipe.load_lora_weights(
-    "lcm-sd/lcm-sdxl-lora",
-    weight_name="lcm_sdxl_lora.safetensors",
-    #adapter_name="lcm",
+    "latent-consistency/lcm-lora-sdxl",
     use_auth_token=HF_TOKEN,
 )
 
@@ -144,7 +142,7 @@ with gr.Blocks(css=css) as demo:
             from diffusers import DiffusionPipeline, LCMScheduler
             pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0").to("cuda") 
             pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
-            pipe.load_lora_weights("lcm-sd/lcm-sdxl-lora") #yes, it's a normal LoRA
+            pipe.load_lora_weights("latent-consistency/lcm-lora-sdxl") #yes, it's a normal LoRA
 
             results = pipe(
                 prompt="The spirit of a tamagotchi wandering in the city of Vienna",