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add resrgan 8x, allow use 1x and up to 8x extra models, move BSRGAN model, add nearest

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victorca25
2022-10-30 12:52:50 +01:00
committed by victorca25
parent 17a2076f72
commit c9bb33dd43
4 changed files with 33 additions and 6 deletions
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17
modules/esrgan_model.py
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@@ -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