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-rw-r--r--modules/esrgan_model.py21
1 files changed, 10 insertions, 11 deletions
diff --git a/modules/esrgan_model.py b/modules/esrgan_model.py
index 9a9c38f1..a009eb42 100644
--- a/modules/esrgan_model.py
+++ b/modules/esrgan_model.py
@@ -6,7 +6,7 @@ from PIL import Image
from basicsr.utils.download_util import load_file_from_url
import modules.esrgan_model_arch as arch
-from modules import shared, modelloader, images, devices
+from modules import modelloader, images, devices
from modules.upscaler import Upscaler, UpscalerData
from modules.shared import opts
@@ -16,9 +16,7 @@ def mod2normal(state_dict):
# this code is copied from https://github.com/victorca25/iNNfer
if 'conv_first.weight' in state_dict:
crt_net = {}
- items = []
- for k, v in state_dict.items():
- items.append(k)
+ items = list(state_dict)
crt_net['model.0.weight'] = state_dict['conv_first.weight']
crt_net['model.0.bias'] = state_dict['conv_first.bias']
@@ -52,9 +50,7 @@ def resrgan2normal(state_dict, nb=23):
if "conv_first.weight" in state_dict and "body.0.rdb1.conv1.weight" in state_dict:
re8x = 0
crt_net = {}
- items = []
- for k, v in state_dict.items():
- items.append(k)
+ items = list(state_dict)
crt_net['model.0.weight'] = state_dict['conv_first.weight']
crt_net['model.0.bias'] = state_dict['conv_first.bias']
@@ -156,13 +152,16 @@ class UpscalerESRGAN(Upscaler):
def load_model(self, path: str):
if "http" in path:
- filename = load_file_from_url(url=self.model_url, model_dir=self.model_path,
- file_name="%s.pth" % self.model_name,
- progress=True)
+ filename = load_file_from_url(
+ url=self.model_url,
+ model_dir=self.model_path,
+ file_name=f"{self.model_name}.pth",
+ progress=True,
+ )
else:
filename = path
if not os.path.exists(filename) or filename is None:
- print("Unable to load %s from %s" % (self.model_path, filename))
+ print(f"Unable to load {self.model_path} from {filename}")
return None
state_dict = torch.load(filename, map_location='cpu' if devices.device_esrgan.type == 'mps' else None)