| #!/usr/bin/env python3 | |
| import torch | |
| import pickle | |
| with open('../models/gamma500/network-snapshot-010000.pkl', 'rb') as f: | |
| G = pickle.load(f)['G_ema']# torch.nn.Module | |
| z = torch.randn([1, G.z_dim])# latent codes | |
| c = None # class labels (not used in this example) | |
| img = G(z, c, force_fp32=True) # NCHW, float32, dynamic range [-1, +1] | |