Update README.md

README.md

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 # Latent Image Animator: Learning to Animate Images via Latent Space Navigation
 ### [Project Page](https://wyhsirius.github.io/LIA-project/) | [Paper](https://openreview.net/pdf?id=7r6kDq0mK_)
 This is the official PyTorch implementation of the ICLR 2022 paper "Latent Image Animator: Learning to Animate Images via Latent Space Navigation"
+[![Replicate](https://replicate.com/wyhsirius/lia/badge)](https://replicate.com/wyhsirius/lia)
 
 <img src="LIA.gif" width="500">
 
@@ -15,8 +16,6 @@ This is the official PyTorch implementation of the ICLR 2022 paper "Latent Image
 
 ## 1. Animation demo
 
-Try Replicate web demo here [![Replicate](https://replicate.com/wyhsirius/lia/badge)](https://replicate.com/wyhsirius/lia)
-
 Download pre-trained checkpoints from [here](https://drive.google.com/drive/folders/1N4QcnqUQwKUZivFV-YeBuPyH4pGJHooc?usp=sharing) and put models under `./checkpoints`. We have provided several demo source images and driving videos in `./data`. 
 To obtain demos, you could run following commands, generated results will be saved under `./res`.
 ```shell script