Add license and links to paper, project page, and code

README.md

@@ -1,15 +1,21 @@
 ---
 library_name: transformers
 pipeline_tag: any-to-any
+license: other
 tags:
-  - custom_code
-  - image-text-to-text
-  - text-to-image
-  - image-to-image
+- custom_code
+- image-text-to-text
+- text-to-image
+- image-to-image
 ---
 
 # Nemotron-Labs-Diffusion-Uni-8B
 
+This repository contains the model introduced in the paper [Nemotron-Labs-Diffusion-Uni: Elastic Self-Refining Unified Diffusion LLM with Cross-Paradigm On-Policy Distillation](https://huggingface.co/papers/2610.36466).
+
+- **Project page:** https://homepage.jackli.org/projects/nl-diffusion-uni/index.html
+- **Code:** https://github.com/NVlabs/Nemotron-Labs-Diffusion-Uni
+
 ## Description
 
 NLD-Uni is a unified multimodal model for image understanding and image generation. It combines a diffusion language model with specialized visual components and a mixture-of-transformers design. Understanding and generation use distinct transformer parameter paths within a common multimodal framework.
@@ -63,7 +69,6 @@ python inference.py /path/to/hf_checkpoint --task understand --image blue.png --
 
 Replace the model argument with the published Hugging Face model ID for remote loading. The standalone script only uses Transformers and this repository's model code.
 
-
 ### License/Terms of Use
 
 GOVERNING TERMS: Use of this model is governed by the [NVIDIA Open Source License Agreement](https://huggingface.co/nvidia/NL-Diffusion-Image/raw/main/LICENSE).
@@ -225,5 +230,4 @@ Users should have appropriate rights and permissions for input images and other
 
 Users are responsible for model inputs and outputs and for implementing appropriate safeguards before deployment.
 
-Report model quality concerns, security vulnerabilities, or NVIDIA AI concerns through [NVIDIA’s reporting channel](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
-
+Report model quality concerns, security vulnerabilities, or NVIDIA AI concerns through [NVIDIA’s reporting channel](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).