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author | random-thoughtss <116161560+random-thoughtss@users.noreply.github.com> | 2022-11-03 22:55:54 +0000 |
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committer | GitHub <noreply@github.com> | 2022-11-03 22:55:54 +0000 |
commit | 243253ff4a8ae944ba142abe9c1e78a92dd14ebe (patch) | |
tree | c40402e18a29ca9a9b167a2f9e47dab39dce0943 /modules/esrgan_model.py | |
parent | d9e4e4d7a09d4aee8ce249a3c8e91ce165b10fa5 (diff) | |
parent | 20a860b525cb7a319a42994f75a94bbca9a54d89 (diff) | |
download | stable-diffusion-webui-gfx803-243253ff4a8ae944ba142abe9c1e78a92dd14ebe.tar.gz stable-diffusion-webui-gfx803-243253ff4a8ae944ba142abe9c1e78a92dd14ebe.tar.bz2 stable-diffusion-webui-gfx803-243253ff4a8ae944ba142abe9c1e78a92dd14ebe.zip |
Merge branch 'AUTOMATIC1111:master' into master
Diffstat (limited to 'modules/esrgan_model.py')
-rw-r--r-- | modules/esrgan_model.py | 17 |
1 files changed, 13 insertions, 4 deletions
diff --git a/modules/esrgan_model.py b/modules/esrgan_model.py index a13cf6ac..c61669b4 100644 --- a/modules/esrgan_model.py +++ b/modules/esrgan_model.py @@ -50,6 +50,7 @@ def mod2normal(state_dict): def resrgan2normal(state_dict, nb=23):
# this code is copied from https://github.com/victorca25/iNNfer
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():
@@ -75,10 +76,18 @@ def resrgan2normal(state_dict, nb=23): crt_net['model.3.bias'] = state_dict['conv_up1.bias']
crt_net['model.6.weight'] = state_dict['conv_up2.weight']
crt_net['model.6.bias'] = state_dict['conv_up2.bias']
- crt_net['model.8.weight'] = state_dict['conv_hr.weight']
- crt_net['model.8.bias'] = state_dict['conv_hr.bias']
- crt_net['model.10.weight'] = state_dict['conv_last.weight']
- crt_net['model.10.bias'] = state_dict['conv_last.bias']
+
+ if 'conv_up3.weight' in state_dict:
+ # modification supporting: https://github.com/ai-forever/Real-ESRGAN/blob/main/RealESRGAN/rrdbnet_arch.py
+ re8x = 3
+ crt_net['model.9.weight'] = state_dict['conv_up3.weight']
+ crt_net['model.9.bias'] = state_dict['conv_up3.bias']
+
+ crt_net[f'model.{8+re8x}.weight'] = state_dict['conv_hr.weight']
+ crt_net[f'model.{8+re8x}.bias'] = state_dict['conv_hr.bias']
+ crt_net[f'model.{10+re8x}.weight'] = state_dict['conv_last.weight']
+ crt_net[f'model.{10+re8x}.bias'] = state_dict['conv_last.bias']
+
state_dict = crt_net
return state_dict
|