j wb

Thanks for the insights and great thoughts! "I think that the perceived problem of 'SG2 struggles with ImageNet' is mainly due to the fact that ImageNet is a small dataset"...

My guess at it is: If you start off the training at an initial resolution such that the receptive field of the first networks (which is defaulted to 11) captures...

Thanks for the quick answer. Unfortunately, changing this parameter had no effect on the beziers for me.

Further instruction would be much appreciated.

Hi, I have a modell which I trained with a `SLICE_LEN` of only `16384` for test purposes. So this modell is capable of generating ~1 second at a sample rate...

data_sample_rate describes the amount of samples used to represent 1 second of audio. cd-standard is 44100 for example. data_slice_len refers to the reception size of the model. e.g. with a...

Hi there, @b4nn3d did this work out for you? - I'm on a high memory instance. - 2k images - 256^2 dimensions Launching with: !python run_training.py --num-gpus=1 --data-dir=./dataset --config=config-f --dataset=myset...