Update README.md

README.md

@@ -10,11 +10,10 @@ tags:
 </p>
 
 <div style="display:flex;justify-content: center">
-  <a href="https://huggingface.co/spaces/PixArt-alpha/PixArt-alpha"><img src="https://img.shields.io/static/v1?label=Demo&message=Huggingface%20Gradio&color=yellow"></a> &ensp;
-  <a href="https://pixart-alpha.github.io/"><img src="https://img.shields.io/static/v1?label=Project&message=Github&color=blue"></a> &ensp;
-  <a href="https://arxiv.org/abs/2310.00426"><img src="https://img.shields.io/badge/arXiv-2310.00426-b31b1b.svg?style=flat-square"></a> &ensp;
-  <a href="https://colab.research.google.com/drive/1jZ5UZXk7tcpTfVwnX33dDuefNMcnW9ME?usp=sharing"><img src="https://img.shields.io/badge/Google-Free%20Colab-orange.svg?logo=google"></a> &ensp;
-
+  <a href="https://huggingface.co/spaces/PixArt-alpha/PixArt-alpha"><img src="https://img.shields.io/static/v1?label=Demo&message=Huggingface&color=yellow"></a> &ensp;
+  <a href="https://pixart-alpha.github.io/"><img src="https://img.shields.io/static/v1?label=Project%20Page&message=Github&color=blue&logo=github"></a> &ensp;
+  <a href="https://arxiv.org/abs/2310.00426"><img src="https://img.shields.io/static/v1?label=Paper&message=Arxiv&color=red&logo=arxiv"></a> &ensp;
+  <a href="https://colab.research.google.com/drive/1jZ5UZXk7tcpTfVwnX33dDuefNMcnW9ME?usp=sharing"><img src="https://img.shields.io/static/v1?label=Free%20Trial&message=Google%20Colab&logo=google&color=orange"></a> &ensp;
 </div>
 
 # 🐱 Pixart-α Model Card
@@ -34,7 +33,8 @@ Source code is available at https://github.com/PixArt-alpha/PixArt-alpha.
 - **Model type:** Diffusion-Transformer-based text-to-image generative model
 - **License:** [CreativeML Open RAIL++-M License](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/LICENSE.md)
 - **Model Description:** This is a model that can be used to generate and modify images based on text prompts. 
-It is a [Transformer Latent Diffusion Model](https://arxiv.org/abs/2310.00426) that uses one fixed, pretrained text encoders ([T5](https://huggingface.co/DeepFloyd/t5-v1_1-xxl))
+It is a [Transformer Latent Diffusion Model](https://arxiv.org/abs/2310.00426) that uses one fixed, pretrained text encoders ([T5](
+https://huggingface.co/DeepFloyd/t5-v1_1-xxl))
 and one latent feature encoder ([VAE](https://arxiv.org/abs/2112.10752)).
 - **Resources for more information:** Check out our [GitHub Repository](https://github.com/PixArt-alpha/PixArt-alpha) and the [Pixart-α report on arXiv](https://arxiv.org/abs/2310.00426).