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Cleanup.
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@ -6,6 +6,8 @@ Tiny AutoEncoder for Stable Diffusion
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import torch
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import torch.nn as nn
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import comfy.utils
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def conv(n_in, n_out, **kwargs):
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return nn.Conv2d(n_in, n_out, 3, padding=1, **kwargs)
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@ -50,17 +52,9 @@ class TAESD(nn.Module):
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self.encoder = Encoder()
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self.decoder = Decoder()
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if encoder_path is not None:
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if encoder_path.lower().endswith(".safetensors"):
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import safetensors.torch
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self.encoder.load_state_dict(safetensors.torch.load_file(encoder_path, device="cpu"))
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else:
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self.encoder.load_state_dict(torch.load(encoder_path, map_location="cpu", weights_only=True))
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self.encoder.load_state_dict(comfy.utils.load_torch_file(encoder_path, safe_load=True))
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if decoder_path is not None:
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if decoder_path.lower().endswith(".safetensors"):
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import safetensors.torch
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self.decoder.load_state_dict(safetensors.torch.load_file(decoder_path, device="cpu"))
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else:
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self.decoder.load_state_dict(torch.load(decoder_path, map_location="cpu", weights_only=True))
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self.decoder.load_state_dict(comfy.utils.load_torch_file(decoder_path, safe_load=True))
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@staticmethod
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def scale_latents(x):
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