stylegan2-ada-pytorch
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dvschultz
StyleGAN2-ADA - Official PyTorch implementation
[Request] Add support for aesthetic score -aided dataset into the discriminator and loss functions.
Add aesthetic-rating aided dataset support into the discriminator loss function. Add a function that could penalize the discriminator for thinking an image from the dataset is "more real" than one...
Is it possible to adapt the generate.py script to networks that work trained with Projected Gan ? Thank you so much !!
Interested in knowing if the video generation with the w vector projection can be replicated in your Stylegan3 repo? This has been very helpful, thank you @dvschultz ! Process: Project...
It appears I can no longer calculate metrics. An attempt no limit the number of workers for Dataloader via --workers argument to 2 or 1 didn't work, the Dataloader still...
**Everything was running just fine for the past 3 months but since today I'm keep running this issue.** Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/tensorboard/compat/__init__.py", line 42, in tf from...
**Describe the bug** Running training with Top-k feature on multi GPU fails with `torch.nn.modules.module.ModuleAttributeError: 'DistributedDataParallel' object has no attribute 'epochs'` It does with with one GPU, or with multi GPU...
hey, what changes are required to make a stylegan2 ada 1024x512 convertible? thanks in advance !!
Hi, I am trying to convert the [stylegan_human_v2_1024.pkl ](https://github.com/stylegan-human/StyleGAN-Human) checkpoints from StyleGAN-Human repo (1024x512 res) but I get the following error : Does anyone encountered this ? Thanks in advance...
Hi, is there a way I can convert ada pkl checkpoints to rosinality pt checkpoints with both the generator and discriminator? I'm only getting the g_ema weights in my converted...
Hello! Thanks for your marvelous script export_weight.py I have a question on the reversed task - is it able to convert the rosinality `.pt` checkpoint to stylegan2-ada `.pkl` format? It...
