Improve model card: Add pipeline tag, library name, license, paper and code links

This PR enhances the model card for LucidFlux by:

- **Adding `pipeline_tag: image-to-image`**: This improves model discoverability on the Hugging Face Hub for relevant tasks.
- **Adding `library_name: diffusers`**: The model is built on Diffusion Transformers and inference code confirms its compatibility with a diffusion pipeline, enabling an automated "how to use" widget.
- **Correcting the `license` tag to `mit`**: The `license_link` points to a file containing the MIT License terms.
- **Updating the paper link**: The "Technical Report" link in the header is replaced with a direct link to the official Hugging Face paper page: [LucidFlux: Caption-Free Universal Image Restoration via a Large-Scale Diffusion Transformer](https://huggingface.co/papers/2509.22414).
- **Adding an explicit `Code` link**: A direct link to the GitHub repository is added in the header for easier access to the source code.

These updates provide clearer, more structured information for users and improve integration with the Hugging Face ecosystem.

README.md

@@ -1,21 +1,23 @@
 ---
-language: 
+language:
 - en
+license: mit
+license_name: flux-1-dev
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
 tags:
 - image-restoration
 - diffusion
 - computer-vision
 - flux
-license: other
-license_name: flux-1-dev
-license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+pipeline_tag: image-to-image
+library_name: diffusers
 ---
 
 <div align="center">
 <h1>🎨 LucidFlux:<br/>Caption-Free Universal Image Restoration with a Large-Scale Diffusion Transformer</h1>
 
 ### 
-[**🌍 Website**](https://w2genai-lab.github.io/LucidFlux/) | [**📘 Technical Report**](https://raw.githubusercontent.com/W2GenAI-Lab/LucidFlux/main/Technical_Report.pdf) | [**🧩 Models**](https://huggingface.co/W2GenAI/LucidFlux) 
+[**🌍 Website**](https://w2genai-lab.github.io/LucidFlux/) | [**📄 Paper**](https://huggingface.co/papers/2509.22414) | [**💻 Code**](https://github.com/W2GenAI-Lab/LucidFlux) | [**🧩 Models**](https://huggingface.co/W2GenAI/LucidFlux) 
 </div>
 
 ---
@@ -421,7 +423,7 @@ You can also obtain results of LucidFlux on RealSR and RealLQ250 from Hugging Fa
 
 ## 🪪 License
 
-The provided code and pre-trained weights are licensed under the [FLUX.1 \[dev\]](LICENSE).
+The provided code and pre-trained weights are licensed under the [FLUX.1 [dev]](LICENSE).
 
 ## 🙏 Acknowledgments
 
@@ -448,7 +450,4 @@ For any questions or inquiries, please reach out to us:
   <img src="https://github.com/user-attachments/assets/047faa4e-da63-415c-97a0-8dbe8045a839"
        alt="WeChat Group QR"
        width="320">
-</details>
-
-
-</div>
+</details>