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Generative Adversarial Networks (GAN) Python Clear Filters & Widen Search

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Simple StyleGan2 for Pytorch

Simplest working implementation of Stylegan2

Simple Pytorch implementation of Stylegan2 that can be completely trained from the command-line, no coding needed. You will need a machine with a GPU and CUDA installed. You can also specify the location where intermediate results and model checkpoints should be stored. You can increase the network capacity (which defaults to 16) to improve generation results, at the cost of more memory. By default, if the training gets cut off, it will automatically resume from the last checkpointed file. ...

Downloads: 0 This Week

Last Update: 2025-01-12
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