kakaobrain / rq-vae-transformer

The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)
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Evaluation problem #27

Open drx-code opened 1 month ago

drx-code commented 1 month ago

Thank you for your great work! I tried to train the RQ-VAE model on the FFHQ dataset with the default config configs/ffhq/stage1/ffhq256-rqvae-8x8x4.yaml. The batch size is 8 and I used one NVIDIA RTX-3090 GPU. However, I found the evaluation result is extremely worse (running it with the eval function from trainer_vqvae.py) imageData (1) While in the model.train() mode the result is much better imageData So how to solve that question? Thank you a lot.