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Use weights_only for loading (#3427)
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
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co-authored by
Manuel Schmid
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commit
da3d4d006f
+1
-1
@@ -231,7 +231,7 @@ def get_previewer(model):
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if vae_approx_filename in VAE_approx_models:
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VAE_approx_model = VAE_approx_models[vae_approx_filename]
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else:
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sd = torch.load(vae_approx_filename, map_location='cpu')
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sd = torch.load(vae_approx_filename, map_location='cpu', weights_only=True)
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VAE_approx_model = VAEApprox()
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VAE_approx_model.load_state_dict(sd)
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del sd
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