> I remember when you try training a BigGAN model on anime images, the quality was bad
Because there was a bug in the code, in a part unrelated to the GAN itself.
> the difference in quality is absurd
Yes, it does help to train on anime with code that isn't buggy. (BTW, Skylion was getting good results with GANs on anime similarly restricted to centered figures like those samples, he just refuses to ever publish anything.)
So you believe that without the bug you would be able to come close to the quality of the diffusion model I have linked? I'm not even asking about using the same compute (1 GPU for ~1 month) but if you just believe BigGAN can come close to that in general.
Also the bug is probably related to the added complexity of training a GAN model in comparison to a diffusion model.
Because there was a bug in the code, in a part unrelated to the GAN itself.
> the difference in quality is absurd
Yes, it does help to train on anime with code that isn't buggy. (BTW, Skylion was getting good results with GANs on anime similarly restricted to centered figures like those samples, he just refuses to ever publish anything.)