Update README.md

README.md

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 # Style-Based GAN in PyTorch
 
+##### Update (2019/07/04)
+
+* Now trainer uses pre-resized lmdb dataset for more stable data loading and training.
+* Model architecture is now more closely matches with official implementation.
+
 Implementation of A Style-Based Generator Architecture for Generative Adversarial Networks (https://arxiv.org/abs/1812.04948) in PyTorch
 
 Usage:
 
+You should prepare lmdb dataset
+
+> python prepare_data.py --out LMDB_PATH --n_worker N_WORKER DATASET_PATH
+
+This will convert images to jpeg and pre-resizes it. (For example, 8/16/32/64/128/256/512/1024) Then you can train StyleGAN.
+
 for celebA
 
-> python train.py --mixing -d {folder} PATH
+> python train.py --mixing LMDB_PATH
 
 for FFHQ
 
-> python train.py --mixing --loss r1 --sched -d {folder}
+> python train.py --mixing --loss r1 --sched LMDB_PATH
 
 ## Sample
 
 ![Sample of the model trained on FFHQ](doc/sample_ffhq_new.png)
 ![Style mixing sample of the model trained on FFHQ](doc/sample_mixing_ffhq_new.png)
 
-512px sample from the generator trained on FFHQ.
+512px sample from the generator trained on FFHQ.