---
license: mit
language:
- en
pipeline_tag: unconditional-image-generation
---
# This is an officila repository to generate some sample results from the FastGAN model presented in the paper: SinGAN-Seg: Synthetic training data generation for medical image segmentation [here](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0267976)

# A Fast and Stable GAN for Small and High Resolution Imagesets - pytorch
The official pytorch implementation of the FAT-GAN paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis", the paper can be found [here](https://arxiv.org/abs/2101.04775).

```python
python generate_4ch_from_huggingface.py
```