Update README.md

README.md

@@ -37,14 +37,13 @@ We further demonstrate the superiority of I2I priors over T2I priors on some tex
 
 Source code is available at https://github.com/xiaomabufei/lumos.
 
-### Model Description
+## 📋 Model Description
 
 - **Developed by:** Lumos
 - **Model type:** Diffusion-Transformer-based generative model
 - **License:** [CreativeML Open RAIL++-M License](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/LICENSE.md)
-- **Model Description:** **Lumos-I2I** Lumos-I2I is a model designed for generating images based on image prompts. It utilizes a [Transformer Latent Diffusion architecture](https://arxiv.org/abs/2310.00426) and incorporates a fixed, pretrained vision encoder ([DINO](
+- **Model Description:** **Lumos-I2I** is a model designed for generating images based on image prompts. It utilizes a [Transformer Latent Diffusion architecture](https://arxiv.org/abs/2310.00426) and incorporates a fixed, pretrained vision encoder ([DINO](
 https://dl.fbaipublicfiles.com/dino/dino_vitbase16_pretrain/dino_vitbase16_pretrain.pth)). **Lumos-T2I** is a model that can be used to generate 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)).
-- **Resources for more information:** Check out our [GitHub Repository](https://github.com/xiaomabufei/lumos) and the [Lumos report on arXiv](https://arxiv.org/pdf/2412.07767).
-
+- **Resources for more information:** Check out our [GitHub Repository](https://github.com/xiaomabufei/lumos) and the [Lumos report on arXiv](https://arxiv.org/pdf/2412.07767).