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Update README.md

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@@ -32,6 +32,9 @@ Dataset was scraped from pinterest and cropped using dlib. Further symmetry and
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  Training was done locally using StyleGAN3 with an RTX 4090 and cuda 11.8. Training took roughly 100 hours but hyperparameter tuning/restarting was modified (many times) about 3/4 of the way through.
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  - Configuration: `stylegan3-t`
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  - GPUs: `1`
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  - Batch Size: `32`
@@ -40,6 +43,15 @@ Training was done locally using StyleGAN3 with an RTX 4090 and cuda 11.8. Traini
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  - Image Resolution: '256x256'
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  - Final fid50k_full value (this pickle): `10.161478712247181`
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  #### Differences from v1.0.0 (10 months in the making)
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  - Noticeable improvements in quality and detail
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  - More variety in hairstyles, hair colors, eye colors, and even accessories (earrings and sunglasses)
 
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  Training was done locally using StyleGAN3 with an RTX 4090 and cuda 11.8. Training took roughly 100 hours but hyperparameter tuning/restarting was modified (many times) about 3/4 of the way through.
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+ You have two versions to choose from, depending on your preference.
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+ #### Main Version (v2.0.0)
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  - Configuration: `stylegan3-t`
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  - GPUs: `1`
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  - Batch Size: `32`
 
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  - Image Resolution: '256x256'
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  - Final fid50k_full value (this pickle): `10.161478712247181`
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+ #### Alternate Version (v2.1.0_alt)
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+ - Dataset was reduced to 60% (better quality)
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+ - Trained for another 2000 kimg
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+ - Final fid50k_full value (this pickle): `5.079479576662786`
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+ #### Differences between main and alternate version
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+ - Main Version: Better variety and realism, but higher chance of generating bad "outlier" faces
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+ - Alternate Version: Better Overall Quality, less variety in faces (less chances of generating bad faces)
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+
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  #### Differences from v1.0.0 (10 months in the making)
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  - Noticeable improvements in quality and detail
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  - More variety in hairstyles, hair colors, eye colors, and even accessories (earrings and sunglasses)