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| author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-05-17 06:26:26 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-05-17 06:26:26 +0000 |
| commit | 85232a5b26666854deae59cf950f744740dd5c37 (patch) | |
| tree | 3af76d8c6ba3173ffd925336d902da058df4e02d /modules/esrgan_model.py | |
| parent | 56a2672831751480f94a018f861f0143a8234ae8 (diff) | |
| parent | 4b07f2f584596604c4499efb0b0295e96985080f (diff) | |
| download | stable-diffusion-webui-gfx803-85232a5b26666854deae59cf950f744740dd5c37.tar.gz stable-diffusion-webui-gfx803-85232a5b26666854deae59cf950f744740dd5c37.tar.bz2 stable-diffusion-webui-gfx803-85232a5b26666854deae59cf950f744740dd5c37.zip | |
Merge branch 'dev' into taesd-a
Diffstat (limited to 'modules/esrgan_model.py')
| -rw-r--r-- | modules/esrgan_model.py | 10 |
1 files changed, 3 insertions, 7 deletions
diff --git a/modules/esrgan_model.py b/modules/esrgan_model.py index f4369257..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']
|