Update README.md with new app title and formatting adjustments

README.md

@@ -1,28 +1,29 @@
 ---
-title: Xora_I2V  # Replace with your app's title
-emoji: 🚀  # Choose an emoji to represent your app
-colorFrom: blue  # Choose a color to start the gradient (e.g., blue, red, green)
-colorTo: purple  # Choose a color to end the gradient
-sdk: gradio  # Specify the SDK, e.g., gradio or streamlit
-sdk_version: "4.44.1"  # Specify the SDK version if needed
-app_file: app.py  # Name of your main app file
-pinned: false  # Set to true if you want to pin this Space
+title: LTX-Video-Playground # Replace with your app's title
+emoji: 🚀 # Choose an emoji to represent your app
+colorFrom: blue # Choose a color to start the gradient (e.g., blue, red, green)
+colorTo: purple # Choose a color to end the gradient
+sdk: gradio # Specify the SDK, e.g., gradio or streamlit
+sdk_version: "4.44.1" # Specify the SDK version if needed
+app_file: app.py # Name of your main app file
+pinned: false # Set to true if you want to pin this Space
 ---
 
 <div align="center">
 
 # Xora️
+
 </div>
 
 This is the official repository for Xora.
 
 ## Table of Contents
 
-* [Introduction](#introduction)
-* [Installation](#installation)
-* [Inference](#inference)
-  * [Inference Code](#inference-code)
-* [Acknowledgement](#acknowledgement)
+- [Introduction](#introduction)
+- [Installation](#installation)
+- [Inference](#inference)
+  - [Inference Code](#inference-code)
+- [Acknowledgement](#acknowledgement)
 
 ## Introduction
 
@@ -31,8 +32,8 @@ The performance of Diffusion Transformers is heavily influenced by the number of
 ## Installation
 
 # Setup
-The codebase currently uses Python 3.10.5, CUDA version 12.2, and supports PyTorch >= 2.1.2.
 
+The codebase currently uses Python 3.10.5, CUDA version 12.2, and supports PyTorch >= 2.1.2.
 
 ```bash
 git clone https://github.com/LightricksResearch/xora-core.git
@@ -44,7 +45,7 @@ source env/bin/activate
 python -m pip install -e .\[inference-script\]
 ```
 
-Then, download the model from [Hugging Face](https://huggingface.co/Lightricks/Xora) 
+Then, download the model from [Hugging Face](https://huggingface.co/Lightricks/Xora)
 
 ```python
 from huggingface_hub import snapshot_download
@@ -75,7 +76,7 @@ python inference.py --ckpt_dir 'PATH' --prompt "PROMPT" --input_image_path IMAGE
 ## Acknowledgement
 
 We are grateful for the following awesome projects when implementing Xora:
-* [DiT](https://github.com/facebookresearch/DiT) and [PixArt-alpha](https://github.com/PixArt-alpha/PixArt-alpha): vision transformers for image generation.
 
+- [DiT](https://github.com/facebookresearch/DiT) and [PixArt-alpha](https://github.com/PixArt-alpha/PixArt-alpha): vision transformers for image generation.
 
-[//]: # (## Citation)
+[//]: # "## Citation"