Add model card with metadata and links

This PR adds a model card with the necessary metadata, including the `pipeline_tag`, `library_name`, and a placeholder for the `license`. It also includes links to the paper, the project page and GitHub repository. Please review and merge if everything looks correct.

README.md

@@ -0,0 +1,93 @@
+---
+pipeline_tag: image-text-to-text
+library_name: diffusers # This might need to be verified in the repo.  
+license: mit # Placeholder - update if needed
+---
+
+<div align="center">
+<br>
+<img src="docs/images/banner.webp" width="1000">
+<h3>Unified Multimodal Discrete Diffusion</h3>
+
+[Alexander Swerdlow](https://aswerdlow.com/)<sup>1&#42;</sup>&nbsp;
+[Mihir Prabhudesai](https://mihirp1998.github.io/)<sup>1&#42;</sup>&nbsp;
+[Siddharth Gandhi](hhttps://www.ssgandhi.com/)<sup>1</sup>&nbsp;
+[Deepak Pathak](https://www.cs.cmu.edu/~dpathak/)<sup>1</sup>&nbsp;
+[Katerina Fragkiadaki](https://www.cs.cmu.edu/~katef/)<sup>1</sup>&nbsp;
+<br>
+
+<sup>1</sup> Carnegie Mellon University&nbsp;
+ 
+[![ArXiv](https://img.shields.io/badge/ArXiv-<2503.20853>-<COLOR>.svg)](https://arxiv.org/abs/2503.20853) [![Webpage](https://img.shields.io/badge/Webpage-UniDisc-<COLOR>.svg)](https://unidisc.github.io/) 
+
+<!-- [![Demo](https://img.shields.io/badge/Demo-Custom-<COLOR>.svg)](https://huggingface.co/spaces/todo) -->
+  
+</div>
+
+## Hugging Face models
+
+The UniDisc checkpoints are available on Hugging Face:
+* [Interleaved Image-Text](https://huggingface.co/aswerdlow/unidisc_interleaved)
+* [Non-Interleaved (Static)](https://huggingface.co/aswerdlow/unidisc_non_interleaved)
+
+## Getting Started
+
+To install the dependencies, run:
+```bash
+git submodule update --init --recursive
+uv sync --no-group dev
+uv sync
+```
+
+For a more detailed installation guide, please refer to [INSTALL.md](docs/INSTALL.md).
+
+## Data
+
+See [DATA.md](docs/DATA.md) for details on how to download and preprocess the datasets. We provide processing scripts and instructions for all of the used datasets. Additionally, we release a synthetic dataset available [here](https://huggingface.co/datasets/aswerdlow/unidisc_hq) and the corresponding [generation scripts](unidisc/datasets/preprocessing/unidisc_dataset/README.md) as well as the raw data.
+
+## Training
+
+See [TRAIN.md](docs/TRAIN.md) for training commands.
+
+## Inference
+
+<!-- Inference demo for **TODO**.
+```
+TODO
+``` -->
+<!-- <img src="docs/todo.png" width="1000"> -->
+
+
+Interactive demo:
+```
+python demo/server.py
+python demo/client_simple_fasthtml.py
+```
+
+
+## Training
+
+See [TRAINING.md](docs/TRAINING.md) for details.
+
+## Evaluation
+
+See [EVAL.md](docs/EVAL.md) for details.
+
+
+### Citation
+To cite our work, please use the following:
+```
+@article{TODO,
+  title={TODO},
+  author={TODO},
+  journal={arXiv preprint arXiv:TODO},
+  year={TODO}
+}
+```
+
+## Credits
+
+This repository is built on top of the following repositories:
+
+- [MDLM](https://github.com/kuleshov-group/mdlm)
+- [Lumina-T2X](https://github.com/Alpha-VLLM/Lumina-T2X)