README.md

---

title: Text To Image DDGAN

emoji: 🐢

colorFrom: red

colorTo: purple

sdk: gradio

sdk_version: 3.8.2

app_file: app.py

pinned: false

---

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/),
which is updated to support text conditioning. Many thanks to the authors of DDGAN for releasing
the code.

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](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.