
# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

 Trained on an A6000 graphics card, based on Pytorch code using the FFHQ dataset with image size of 256x256.

 Paper Links: [Training Generative Adversarial Networks with Limited Data](https://arxiv.org/abs/2006.06676)
 
 Code Links: https://github.com/NVlabs/stylegan2-ada-pytorch

### Model Description

fid50k_full: 12.221257713980524

### Generated Results

The images generated by our trained model can be viewed at this link: https://huggingface.co/changwh5/Stylegan2-ada/blob/main/fakes002620.png


{"datasets": ["student/FFHQ"], "pipeline_tag": "unconditional-image-generation"}
unconditional-image-generation dataset:student/FFHQ arxiv:2006.06676 region:us
TAGS
#unconditional-image-generation #dataset-student/FFHQ #arxiv-2006.06676 #region-us 


# Model Card for Model ID



 Trained on an A6000 graphics card, based on Pytorch code using the FFHQ dataset with image size of 256x256.

 Paper Links: Training Generative Adversarial Networks with Limited Data
 
 Code Links: URL

### Model Description

fid50k_full: 12.221257713980524

### Generated Results

The images generated by our trained model can be viewed at this link: URL


# Model Card for Model ID



 Trained on an A6000 graphics card, based on Pytorch code using the FFHQ dataset with image size of 256x256.

 Paper Links: Training Generative Adversarial Networks with Limited Data
 
 Code Links: URL ### Model Description

fid50k_full: 12.221257713980524 ### Generated Results

The images generated by our trained model can be viewed at this link: URL
TAGS
#unconditional-image-generation #dataset-student/FFHQ #arxiv-2006.06676 #region-us 
 # Model Card for Model ID



 Trained on an A6000 graphics card, based on Pytorch code using the FFHQ dataset with image size of 256x256.

 Paper Links: Training Generative Adversarial Networks with Limited Data
 
 Code Links: URL ### Model Description

fid50k_full: 12.221257713980524 ### Generated Results

The images generated by our trained model can be viewed at this link: URL
TAGS
#unconditional-image-generation #dataset-student/FFHQ #arxiv-2006.06676 #region-us 
# Model Card for Model ID



 Trained on an A6000 graphics card, based on Pytorch code using the FFHQ dataset with image size of 256x256.

 Paper Links: Training Generative Adversarial Networks with Limited Data
 
 Code Links: URL### Model Description

fid50k_full: 12.221257713980524### Generated Results

The images generated by our trained model can be viewed at this link: URL