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author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-05-22 07:15:34 +0300 |
---|---|---|
committer | GitHub <noreply@github.com> | 2023-05-22 07:15:34 +0300 |
commit | 8137bdba61fd57cc1ddae801f6080d51e13d70c5 (patch) | |
tree | c5a02e9f9ae57c9f0ff8499379c6cc61a97c094e /modules/esrgan_model.py | |
parent | a862428902c4aecde8852761c3a4d95c196885cb (diff) | |
parent | 3366e494a1147e570d8527eea19da88edb3a1e0c (diff) |
Merge branch 'dev' into text-drag-fix
Diffstat (limited to 'modules/esrgan_model.py')
-rw-r--r-- | modules/esrgan_model.py | 12 |
1 files changed, 4 insertions, 8 deletions
diff --git a/modules/esrgan_model.py b/modules/esrgan_model.py index f4369257..2fced999 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']
@@ -158,7 +154,7 @@ class UpscalerESRGAN(Upscaler): if "http" in path:
filename = load_file_from_url(
url=self.model_url,
- model_dir=self.model_path,
+ model_dir=self.model_download_path,
file_name=f"{self.model_name}.pth",
progress=True,
)
|