xiaosi

> Yes, sure sounds good, @LysandreJik . I can even send separate pull requests from my side. The first one for the bug, and the second one for updating all...

> The multiscale strategy requires higher GPU utilization, but unfortunately, we lack the necessary resources to train the SwinB-MS-DeAOT-L. Additionally, the R50-MS-DeAOT-L model does not outperform the SwinB-DeAOT-L model. Therefore,...

> you need to train a StyleGAN on full body images or use a [pre-trained one](https://github.com/stylegan-human/StyleGAN-Human/) Then you need to train DualStyleGAN based on this StyleGAN on full body cartoon...

> 1. It's module error, not model error > 2. you need to change the code of stylegan to support 512*1024 i find this issue ，so i think this is...

you can retrain your own rosinality's stylegan2-pytorch on your target dataset. You mean that I need to train a stylegan model using my own whole body dataset（Anime full body picture）...

> > you need to train a StyleGAN on full body images. > > Then you need to train DualStyleGAN based on this StyleGAN on full body cartoon images. >...

> I don't know which one is better. You can try both to find out. Just on a 3090 test 1024 x1024 can not run, the subsequent modification of the...

> I see... Our backbone is rosinality's stylegan2-pytorch, and can only load the model in its format. So you need to transform the model format from others' framework (tensorflow or...

> You can simply load G with G_ema's parameters. I have no idea on how to convert the D parameters. You'd better raise a new issue in https://github.com/dvschultz/stylegan2-ada-pytorch/ to seek...

> You can simply load G with G_ema's parameters. I have no idea on how to convert the D parameters. You'd better raise a new issue in https://github.com/dvschultz/stylegan2-ada-pytorch/ to seek...