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authorAUTOMATIC <16777216c@gmail.com>2022-10-02 19:59:01 +0000
committerAUTOMATIC <16777216c@gmail.com>2022-10-02 19:59:01 +0000
commit6785331e22d6a488fbf5905fab56d7fec867e038 (patch)
tree111f08d07e3dfc82a02857155cccdeefe7afdb70 /modules/textual_inversion/dataset.py
parentc7543d4940da672d970124ae8f2fec9de7bdc1da (diff)
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keep textual inversion dataset latents in CPU memory to save a bit of VRAM
Diffstat (limited to 'modules/textual_inversion/dataset.py')
-rw-r--r--modules/textual_inversion/dataset.py2
1 files changed, 2 insertions, 0 deletions
diff --git a/modules/textual_inversion/dataset.py b/modules/textual_inversion/dataset.py
index 7e134a08..e8394ff6 100644
--- a/modules/textual_inversion/dataset.py
+++ b/modules/textual_inversion/dataset.py
@@ -8,6 +8,7 @@ from torchvision import transforms
import random
import tqdm
+from modules import devices
class PersonalizedBase(Dataset):
@@ -47,6 +48,7 @@ class PersonalizedBase(Dataset):
torchdata = torch.moveaxis(torchdata, 2, 0)
init_latent = model.get_first_stage_encoding(model.encode_first_stage(torchdata.unsqueeze(dim=0))).squeeze()
+ init_latent = init_latent.to(devices.cpu)
self.dataset.append((init_latent, filename_tokens))