payne4handsome
payne4handsome
@y-x-c Hi, have you got the satisfying result? I trained just with FFHQ and CelebA-HQ datasets about 90 thousand images. The result is bad just like below.   
@aksnzhy No, you not understand me. If I train a model with setting option instance-wise normalization(default), so online application must normalize the input. Though I can use model parameters by...
@aksnzhy oh, thanks. I did as you said. I got a right result in java. I think I got a mistake. I think instance-wise normal mentioned in [official document](https://xlearn-doc.readthedocs.io/en/latest/python_api/index.html#instance-wise-normalization) is...