I guys, I trained my Stylegan3 model and I uploaded my .pkl file with boring pickle warning.
Any experience on stylegen upload or conversion here on HF?
Even converting in .pt I’ve the same warning 
import torch
import pickle
from safetensors.torch import save_file, load_file
from train.networks_stylegan3 import Generator
from torch_utils import gen_utils
model = ‘mymodel.pkl’
device = torch.device(‘cuda’)
Load the network
G = gen_utils.load_network(‘G_ema’, model, None, device)
Save the state dict of the model
state_dict = G.state_dict()
Save the state dict in SafeTensors format
save_file(state_dict, ‘model.safetensors’)
Load the state dict from SafeTensors format
state_dict = load_file(‘mode.safetensors’)
Initialize a new model and load the state dict
G_kwargs = {
“z_dim”: 512,
“c_dim”: 0,
“w_dim”: 512,
“img_resolution”: 1024,
“img_channels”: 3,
“mapping_kwargs”: {
“num_layers”: 2,
“freeze_layers”: 0,
“freeze_embed”: False
},
“synthesis_kwargs”: {
“channel_base”: 32768,
“channel_max”: 512,
“magnitude_ema_beta”: 0.9988915792636801
}
}
G = Generator(
z_dim=G_kwargs[‘z_dim’],
c_dim=G_kwargs[‘c_dim’],
w_dim=G_kwargs[‘w_dim’],
img_resolution=G_kwargs[‘img_resolution’],
img_channels=G_kwargs[‘img_channels’],
mapping_kwargs=G_kwargs[‘mapping_kwargs’],
**G_kwargs[‘synthesis_kwargs’]
).to(device)
G.load_state_dict(state_dict)
torch.save(G, ‘mynewmodel.pt’)