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import torch from compression.models.load_flowpp_imagenet64 import load_imagenet64_model model = load_imagenet64_model('/your/data/folder/flowpp_imagenet64_model.npz', False) noise = torch.randn(1, 192, 8, 8).double() img, _ = model.main_flow(noise, aux=None, inverse=True) noise2, _ = model.main_flow(img, aux=None, inverse=False)
Note that your z vector has to have shape 192, 8, 8 for the imagenet64 flow model.
z
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Note that your
z
vector has to have shape 192, 8, 8 for the imagenet64 flow model.The text was updated successfully, but these errors were encountered: