can i get a new pretrained network file?

[ThisisLandu]

there is how to get pretrained network

# Download raw images and create LMDB datasets using them
# Additional files are also downloaded for local editing
bash download.sh create-lmdb-dataset celeba_hq

# Download the pretrained network (256x256) 
bash download.sh download-pretrained-network-256 celeba_hq # 20M-image-trained models
bash download.sh download-pretrained-network-256 celeba_hq_5M # 5M-image-trained models used in our paper for comparison with other baselines and for ablation studies.

# Download the pretrained network (1024x1024 image / 16x16 stylemap / Light version of Generator)
bash download.sh download-pretrained-network-1024 ffhq_16x16

but with these networks, it doesn't work

File "demo.py", line 192, in <module> ckpt = torch.load(args.ckpt) File "/root/anaconda3/envs/stylemap/lib/python3.6/site-packages/torch/serialization.py", line 608, in load return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args) File "/root/anaconda3/envs/stylemap/lib/python3.6/site-packages/torch/serialization.py", line 777, in _legacy_load magic_number = pickle_module.load(f, **pickle_load_args) _pickle.UnpicklingError: invalid load key, '<'.

and i found that after run train.py, i got 000000.pt (didn't trained) and with this 000000.pt, demo.py works well,(but output image is noisy image)

so is there any way get new pretrained network?

i tried on (pytorch= 1.4.0, 1.10) and (remote server-docker , colab)

[ThisisLandu]

i solved this problem. i opend up download.sh and got download .pk file with URL