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
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.
python generate_4ch_from_huggingface.py
- Downloads last month
- 12
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support
HF Inference deployability: The HF Inference API does not support unconditional-image-generation models for transformers
library.