How to take the generated model pt -> and mash it back into stylegan2-ada pkl format for use in other apps. [DRAFTED] about pti HOT 3 OPEN

were you able to achive this and use the model in styleclip or something else?

from pti.

here is result - I lose something...

the problem is this line
tmp['G_ema'] = old_G.eval().requires_grad_(False).cpu()

https://reposhub.com/python/deep-learning/NVlabs-stylegan2-ada-pytorch.html

The pickle contains three networks. 'G' and 'D' are instantaneous snapshots taken during training, and 'G_ema' represents a moving average of the generator weights over several training steps. The networks are regular instances of torch.nn.Module, with all of their parameters and buffers placed on the CPU at import and gradient computation disabled by default.

until this can be baked from PTI - non sure this is feasible.

UPDATE -
I think my code is using the wrong generator - e4e.
I'll have another crack later on.

UPDATE 2 - using the embeddings spat out - I successfully run
python optimization/run_optimization.py --latent_path='/home/jp/Documents/gitWorkspace/PTI/embeddings/barcelona/PTI/personal_image/0.pt'

a person with purple hair.

from pti.

https://www.youtube.com/watch?v=viWiOC1Mikw

from pti.