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| author | AUTOMATIC <16777216c@gmail.com> | 2022-09-11 10:25:02 +0300 |
|---|---|---|
| committer | AUTOMATIC <16777216c@gmail.com> | 2022-09-11 10:25:02 +0300 |
| commit | 2e6153e343e5002b5c161d00a43453400be2d884 (patch) | |
| tree | efbca339024e4d8aec5abd81c2ed45e6f33b0a17 /modules/esrgan_model.py | |
| parent | a094b3ab8e4adf300725f8b567c0fd787e9d039a (diff) | |
| parent | b5d1af11b7dc718d4d91d379c75e46f4bd2e2fe6 (diff) | |
Merge remote-tracking branch 'origin/master'
Diffstat (limited to 'modules/esrgan_model.py')
| -rw-r--r-- | modules/esrgan_model.py | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/modules/esrgan_model.py b/modules/esrgan_model.py index e86ad775..7f3baf31 100644 --- a/modules/esrgan_model.py +++ b/modules/esrgan_model.py @@ -9,12 +9,13 @@ from PIL import Image import modules.esrgam_model_arch as arch
from modules import shared
from modules.shared import opts
+from modules.devices import has_mps
import modules.images
def load_model(filename):
# this code is adapted from https://github.com/xinntao/ESRGAN
- pretrained_net = torch.load(filename, map_location='cpu' if torch.has_mps else None)
+ pretrained_net = torch.load(filename, map_location='cpu' if has_mps else None)
crt_model = arch.RRDBNet(3, 3, 64, 23, gc=32)
if 'conv_first.weight' in pretrained_net:
|