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Use weights_only for loading (#3427)

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Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
This commit is contained in:
Sergii Dymchenko
2024-08-03 12:33:01 +02:00
committed by GitHub
co-authored by Manuel Schmid
parent 1a53e0676a
commit da3d4d006f
14 changed files with 21 additions and 21 deletions
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ldm_patched/ldm/modules/encoders/noise_aug_modules.py
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@@ -8,7 +8,7 @@ class CLIPEmbeddingNoiseAugmentation(ImageConcatWithNoiseAugmentation):
if clip_stats_path is None:
clip_mean, clip_std = torch.zeros(timestep_dim), torch.ones(timestep_dim)
else:
clip_mean, clip_std = torch.load(clip_stats_path, map_location="cpu")
clip_mean, clip_std = torch.load(clip_stats_path, map_location="cpu", weights_only=True)
self.register_buffer("data_mean", clip_mean[None, :], persistent=False)
self.register_buffer("data_std", clip_std[None, :], persistent=False)
self.time_embed = Timestep(timestep_dim)