Add library_name and pipeline_tag

This PR adds the `library_name` and `pipeline_tag` metadata to the model card for better searchability and clarity. The `pipeline_tag` is set to `text-to-image` as the model generates images from text prompts.

README.md

@@ -1,6 +1,9 @@
 ---
 license: apache-2.0
+library_name: diffusers
+pipeline_tag: text-to-image
 ---
+
 # Scale-wise Distillation 3.5 Large
 Scale-wise Distillation (SwD) is a novel framework for accelerating diffusion models (DMs) 
 by progressively increasing spatial resolution during the generation process. 
@@ -11,3 +14,18 @@ while maintaining or even improving image quality.
 ## Usage
 To generate images using SwD, go to <a href="https://github.com/yandex-research/swd ">GitHub</a> 
 or <a href="https://huggingface.co/spaces/dbaranchuk/Scale-wise-Distillation">Hugging Face's demo </a>.
+
+This is a Hugging Face Diffusers implementation of the paper [Scale-wise Distillation of Diffusion Models](https://huggingface.co/papers/2503.16397).
+
+The project page can be found at https://yandex-research.github.io/swd
+
+## Citation
+
+```bibtex
+@article{starodubcev2025swd,
+  title={Scale-wise Distillation of Diffusion Models},
+  author={Nikita Starodubcev and Denis Kuznedelev and Artem Babenko and Dmitry Baranchuk},
+  journal={arXiv preprint arXiv:2503.16397},
+  year={2025}
+}
+```