mit-han-lab / data-efficient-gans

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
https://arxiv.org/abs/2006.10738
BSD 2-Clause "Simplified" License
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How can we use generate.py file to load our own trained models? #96

Open HashmatShadab opened 2 years ago

zsyzzsoft commented 2 years ago

Maybe you need to run the training script with --schedule=evaluate, referring to compare_gan's README.