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author | AUTOMATIC1111 <16777216c@gmail.com> | 2022-10-04 12:20:10 +0000 |
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committer | GitHub <noreply@github.com> | 2022-10-04 12:20:10 +0000 |
commit | bc4d457de82f76f8ab9f2bedf933c06deb5d5ba9 (patch) | |
tree | 969e0e595bd36987ae9de9ae302085ef555bba15 /modules/scunet_model.py | |
parent | d5bba20a58f43a9f984bb67b4e17f48661f6b818 (diff) | |
parent | e9e2a7ec9ac704f133f586eb34176e388c93c87c (diff) | |
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Merge pull request #1616 from brkirch/cpu-cmdline-opt
Add --use-cpu command line option
Diffstat (limited to 'modules/scunet_model.py')
-rw-r--r-- | modules/scunet_model.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/modules/scunet_model.py b/modules/scunet_model.py index 7987ac14..fb64b740 100644 --- a/modules/scunet_model.py +++ b/modules/scunet_model.py @@ -8,7 +8,7 @@ import torch from basicsr.utils.download_util import load_file_from_url import modules.upscaler -from modules import shared, modelloader +from modules import devices, modelloader from modules.paths import models_path from modules.scunet_model_arch import SCUNet as net @@ -51,12 +51,12 @@ class UpscalerScuNET(modules.upscaler.Upscaler): if model is None: return img - device = shared.device + device = devices.device_scunet img = np.array(img) img = img[:, :, ::-1] img = np.moveaxis(img, 2, 0) / 255 img = torch.from_numpy(img).float() - img = img.unsqueeze(0).to(shared.device) + img = img.unsqueeze(0).to(device) img = img.to(device) with torch.no_grad(): @@ -69,7 +69,7 @@ class UpscalerScuNET(modules.upscaler.Upscaler): return PIL.Image.fromarray(output, 'RGB') def load_model(self, path: str): - device = shared.device + device = devices.device_scunet if "http" in path: filename = load_file_from_url(url=self.model_url, model_dir=self.model_path, file_name="%s.pth" % self.name, progress=True) |