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README.md

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* **Set Initial Augmentation Strength**: use `--initstrength={float value}` to set the initialized strength of augmentations (really helpful when restarting training)
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* **Set Initial Kimg count**: use `--nkimg={int value}` to set the initial kimg count (helpful with restarts)
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* **Closed Form Factorization:** converted from Rosinality repo by [Philip Bizimis](https://github.com/pbizimis); additional video creation features
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* **Additional Projector Techniques** Thanks to Peter Baylies for his projector code that optionally uses pixel-based loss or CLIP
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* **Interpolate from Projector .npz Files** Use the `combine_npz.py` script to combine multiple .npz files
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## StyleGAN2-ADA — Official PyTorch implementation
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