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Projected GANs are maybe the currently best model for small datasets. You could also check out StyleGAN 2 ada. https://github.com/autonomousvision/projected_gan
You can have a look at style transfer or the recent advances in GANs (VQGAN for example). The approach you would want to try is called fine-tuning, meaning retraining an already pretraines model on your data. In terms of programming framework I guess pytorch would be the best pick. Style transfer: https://pytorch.org/tutorials/advanced/neural_style_tutorial.html VQGAN: https://github.com/CompVis/taming-transformers