Update app.py

app.py

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                 <img class="logo" src="https://huggingface.co/datasets/philschmid/assets/resolve/main/aws-neuron_hf.png" alt="Hugging Face Habana Logo"
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                 <h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px">
-                  Stable Diffusion XL on AWS INF2 ⚡
+                  Latent Consistent Stable Diffusion XL on AWS INF2 ⚡
                 </h1> 
               <p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;">
+                Latent Consistency Models (LCMs) were proposed in Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference by Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, and Hang Zhao. LCMs enable inference with fewer steps on any pre-trained LDMs, including Stable Diffusion and SDXL.
                 SDXL is a high quality text-to-image model from Stability AI. This demo is running on <a style="text-decoration: underline;" href="https://aws.amazon.com/ec2/instance-types/inf2/?nc1=h_ls">AWS Inferentia2</a>, to achieve efficient and cost-effective inference of 1024×1024 images. <a href="https://www.philschmid.de/inferentia2-stable-diffusion-xl" target="_blank">How does it work?</a>
               </p>
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