Update pipeline tag to text-to-image and add Hugging Face paper link

This PR improves the model card by:

- Updating the `pipeline_tag` from `image-to-image` to `text-to-image`. This change accurately reflects the model's capability to generate images from text descriptions, even when image inputs are used for conditioning. This will improve discoverability at https://huggingface.co/models?pipeline_tag=text-to-image.
- Adding a direct link to the Hugging Face paper page ([USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning](https://huggingface.co/papers/2508.18966)) for easier access to the research paper.
- Removing the redundant `

README.md

@@ -1,11 +1,11 @@
 ---
-license: apache-2.0
-language:
-- en
 base_model:
 - black-forest-labs/FLUX.1-dev
+language:
+- en
 library_name: transformers
-pipeline_tag: image-to-image
+license: apache-2.0
+pipeline_tag: text-to-image
 tags:
 - image-generation
 - subject-personalization
@@ -20,6 +20,8 @@ tags:
     Unified Style and Subject-Driven Generation via Disentangled and Reward Learning
 </h3>
 
+Paper: [USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning](https://huggingface.co/papers/2508.18966)
+
 <p align="center"> 
 <a href="https://github.com/bytedance/USO"><img alt="Build" src="https://img.shields.io/github/stars/bytedance/USO"></a> 
 <a href="https://bytedance.github.io/USO/"><img alt="Build" src="https://img.shields.io/badge/Project%20Page-USO-blue"></a> 
@@ -96,7 +98,7 @@ python inference.py --prompt "A handsome man." --image_paths "" "assets/gradio_e
   create images using this tool, provided they comply with local laws and exercise 
   responsible usage. The developers are not liable for any misuse of the tool by users.</p>
 
-##  Citation
+## Citation
 We also appreciate it if you could give a star ⭐ to our [Github repository](https://github.com/bytedance/USO). Thanks a lot!
 
 If you find this project useful for your research, please consider citing our paper: