minor bug fix

app.py

@@ -61,7 +61,7 @@ unet = UNet2DConditionModel.from_config(model_repo_id, subfolder="unet").to(devi
 unet.load_state_dict(torch.load(hf_hub_download(repo_name, ckpt_name)))
 pipe = DiffusionPipeline.from_pretrained(model_repo_id, unet=unet, torch_dtype=torch_dtype).to(device)
 pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
-pipe.vae = AutoencoderTiny.from_pretrained("madebyollin/taesdxl", torch_dtype=torch_dtype).to(devoce)
+pipe.vae = AutoencoderTiny.from_pretrained("madebyollin/taesdxl", torch_dtype=torch_dtype).to(device)
 
 unet = pipe.unet
 
@@ -634,7 +634,7 @@ if __name__ == "__main__":
 #                     value=4,  # Replace with defaults that work for your model
 #                 )
 
-#         # gr.Examples(examples=examples, inputs=[prompt])
+#         # gr.minoExamples(examples=examples, inputs=[prompt])
 #     gr.on(
 #         triggers=[run_button.click, prompt.submit],
 #         fn=infer,