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deepfake_gi_fastGAN
deepsynthbody/deepfake_gi_fastGAN
deepfake_gi_fastGAN is a unconditional image generation model from deepsynthbody. Use it for the unconditional image generation task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
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.
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At a glance
- Task
- Unconditional Image Generation
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Feb 26, 2024
- Updated
- Mar 20, 2024
- SHA
- 5dcd21b1
Model card
From the Hugging Face model README
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
- Task
- Unconditional Image Generation
- Library
- transformers
- License
- mit
- Languages
- en
- Created
- Feb 26, 2024
- Updated
- Mar 20, 2024