Update app.py

app.py

@@ -15,6 +15,8 @@ else:
     torch_dtype = torch.float32
 
 pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
+pipe.load_lora_weights("fofr/sdxl-emoji", weight_name="lora.safetensors", adapter_name="toy")
+
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max