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Update nodes.py
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@ -1654,6 +1654,21 @@ class LoadICLightUnet:
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print("LoadICLightUnet: Loading LoadICLightUnet weights")
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from comfy.utils import load_torch_file
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model_clone = model.clone()
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conv_layer = model_clone.model.diffusion_model.input_blocks[0][0]
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print(f"Current number of input channels: {conv_layer.in_channels}")
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# Create a new Conv2d layer with 8 input channels
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new_conv_layer = torch.nn.Conv2d(8, conv_layer.out_channels, kernel_size=conv_layer.kernel_size, stride=conv_layer.stride, padding=conv_layer.padding)
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new_conv_layer.weight.zero_()
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new_conv_layer.weight[:, :4, :, :].copy_(conv_layer.weight)
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new_conv_layer.bias = conv_layer.bias
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new_conv_layer = new_conv_layer.to(torch.float16)
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conv_layer.conv_in = new_conv_layer
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# Replace the old layer with the new one
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model_clone.model.diffusion_model.input_blocks[0][0] = new_conv_layer
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# Verify the change
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print(f"New number of input channels: {model_clone.model.diffusion_model.input_blocks[0][0].in_channels}")
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new_state_dict = load_torch_file(model_full_path)
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prefix_to_remove = 'model.'
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new_keys_dict = {key[len(prefix_to_remove):]: new_state_dict[key] for key in new_state_dict if key.startswith(prefix_to_remove)}
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