diff options
| -rw-r--r-- | modules/textual_inversion/dataset.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/modules/textual_inversion/dataset.py b/modules/textual_inversion/dataset.py index 1568b2b8..af9fbcf2 100644 --- a/modules/textual_inversion/dataset.py +++ b/modules/textual_inversion/dataset.py @@ -115,7 +115,7 @@ class PersonalizedBase(Dataset): weight /= weight.mean()
elif use_weight:
#If an image does not have a alpha channel, add a ones weight map anyway so we can stack it later
- weight = torch.ones([channels] + latent_size)
+ weight = torch.ones(latent_sample.shape)
else:
weight = None
|