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add a helpful message when user puts RealESRGAN model into ESRGAN directory.
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@ -14,17 +14,20 @@ import modules.images
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def load_model(filename):
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def load_model(filename):
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# this code is adapted from https://github.com/xinntao/ESRGAN
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# this code is adapted from https://github.com/xinntao/ESRGAN
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if torch.has_mps:
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pretrained_net = torch.load(filename, map_location='cpu' if torch.has_mps else None)
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map_l = 'cpu'
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else:
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map_l = None
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pretrained_net = torch.load(filename, map_location=map_l)
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crt_model = arch.RRDBNet(3, 3, 64, 23, gc=32)
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crt_model = arch.RRDBNet(3, 3, 64, 23, gc=32)
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if 'conv_first.weight' in pretrained_net:
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if 'conv_first.weight' in pretrained_net:
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crt_model.load_state_dict(pretrained_net)
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crt_model.load_state_dict(pretrained_net)
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return crt_model
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return crt_model
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if 'model.0.weight' not in pretrained_net:
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is_realesrgan = "params_ema" in pretrained_net and 'body.0.rdb1.conv1.weight' in pretrained_net["params_ema"]
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if is_realesrgan:
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raise Exception("The file is a RealESRGAN model, it can't be used as a ESRGAN model.")
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else:
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raise Exception("The file is not a ESRGAN model.")
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crt_net = crt_model.state_dict()
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crt_net = crt_model.state_dict()
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load_net_clean = {}
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load_net_clean = {}
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for k, v in pretrained_net.items():
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for k, v in pretrained_net.items():
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