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Yep! No fine tuning. Here's the prompt I use for the description (from source, https://github.com/thesephist/modelexicon/blob/main/src/main... )
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Proceedings of Deep Learning Advancements Conference, list of accepted deep learning models
1. [StyleGAN] StyleGAN is a generative adversarial network for style transfer between artworks. It uses a traditional GAN architecture and is trained on a dataset of 150,000 traditional and modern art. StyleGAN shows improved style transfer performance while reducing computational complexity.