add description

README.md

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 Text-to-Image Denoising Diffusion GANs is a text-to-image model
-based on Denoising Diffusion GANs <https://arxiv.org/abs/2112.07804>.
-The code is based on their official code <<https://nvlabs.github.io/denoising-diffusion-gan/>,
+based on [Denoising Diffusion GANs](https://arxiv.org/abs/2112.07804>).
+The code is based on their official [code](https://nvlabs.github.io/denoising-diffusion-gan/),
 which is updated to support text conditioning. Many thanks to the authors of DDGAN for releasing
 the code.
 
-The provided models are trained on DiffusionDB <https://arxiv.org/abs/2210.14896>, which is a dataset that was synthetically
+The provided models are trained on [Diffusion DB](https://arxiv.org/abs/2210.14896), which is a dataset that was synthetically
 generated with Stable Diffusion, many thanks to the authors for releasing the dataset.
 
-Models were trained on JURECA-DC supercomputer at Jülich Supercomputing Centre (JSC), many thanks for the compute provided to train the models.
+Models were trained on [JURECA-DC](https://www.fz-juelich.de/en/news/archive/press-release/2021/2021-06-23-jureca-dc) supercomputer at Jülich Supercomputing Centre (JSC), many thanks for the compute provided to train the models.