README.md

metadata

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. The code is based on their official code, 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, 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.