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## StyleGAN2-ADA —`pip install` version of Official PyTorch implementation
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I have modified the official PyTorch implementation so that you can `pip install` this repository as a dependency and reuse the classes and functions here.
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### Requirements
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* Linux and Windows are supported, but we recommend Linux for performance and compatibility reasons.
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* 1–8 high-end NVIDIA GPUs with at least 12 GB of memory. We have done all testing and development using NVIDIA DGX-1 with 8 Tesla V100 GPUs.
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* 64-bit Python 3.7 and PyTorch 1.7.1. See [https://pytorch.org/](https://pytorch.org/) for PyTorch install instructions.
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* CUDA toolkit 11.0 or later. Use at least version 11.1 if running on RTX 3090. (Why is a separate CUDA toolkit installation required? See comments in [#2](https://github.com/NVlabs/stylegan2-ada-pytorch/issues/2#issuecomment-779457121).)
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### Installation
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From repo's root directory `stylegan2-ada-pytorch`, run `python -m pip install .`
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### Original official implementation
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Available [here](https://github.com/NVlabs/stylegan2-ada-pytorch), the original `README.md` is copied below.
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***
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## StyleGAN2-ADA — Official PyTorch implementation
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