Traceback (most recent call last):
  File "<string>", line 11, in <module>
  File "/home/ubuntu/.local/lib/python3.10/site-packages/safetensors/torch.py", line 286, in save_file
    serialize_file(_flatten(tensors), filename, metadata=metadata)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/safetensors/torch.py", line 488, in _flatten
    raise RuntimeError(
RuntimeError: 
            Some tensors share memory, this will lead to duplicate memory on disk and potential differences when loading them again: [{'ema_model.transformer.time_embed.time_mlp.0.weight', 'transformer.time_embed.time_mlp.0.weight'}, {'ema_model.transformer.time_embed.time_mlp.0.bias', 'transformer.time_embed.time_mlp.0.bias'}, {'transformer.time_embed.time_mlp.2.weight', 'ema_model.transformer.time_embed.time_mlp.2.weight'}, {'transformer.time_embed.time_mlp.2.bias', 'ema_model.transformer.time_embed.time_mlp.2.bias'}, {'transformer.text_embed.text_embed.weight', 'ema_model.transformer.text_embed.text_embed.weight'}, {'ema_model.transformer.text_embed.text_blocks.0.dwconv.weight', 'transformer.text_embed.text_blocks.0.dwconv.weight'}, {'ema_model.transformer.text_embed.text_blocks.0.dwconv.bias', 'transformer.text_embed.text_blocks.0.dwconv.bias'}, {'transformer.text_embed.text_blocks.0.norm.weight', 'ema_model.transformer.text_embed.text_blocks.0.norm.weight'}, 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'transformer.text_embed.text_blocks.1.dwconv.bias'}, {'ema_model.transformer.text_embed.text_blocks.1.norm.weight', 'transformer.text_embed.text_blocks.1.norm.weight'}, {'transformer.text_embed.text_blocks.1.norm.bias', 'ema_model.transformer.text_embed.text_blocks.1.norm.bias'}, {'ema_model.transformer.text_embed.text_blocks.1.pwconv1.weight', 'transformer.text_embed.text_blocks.1.pwconv1.weight'}, {'transformer.text_embed.text_blocks.1.pwconv1.bias', 'ema_model.transformer.text_embed.text_blocks.1.pwconv1.bias'}, {'transformer.text_embed.text_blocks.1.grn.gamma', 'ema_model.transformer.text_embed.text_blocks.1.grn.gamma'}, {'transformer.text_embed.text_blocks.1.grn.beta', 'ema_model.transformer.text_embed.text_blocks.1.grn.beta'}, {'ema_model.transformer.text_embed.text_blocks.1.pwconv2.weight', 'transformer.text_embed.text_blocks.1.pwconv2.weight'}, {'ema_model.transformer.text_embed.text_blocks.1.pwconv2.bias', 'transformer.text_embed.text_blocks.1.pwconv2.bias'}, 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{'transformer.transformer_blocks.20.attn.to_out.0.bias', 'ema_model.transformer.transformer_blocks.20.attn.to_out.0.bias'}, {'ema_model.transformer.transformer_blocks.20.ff.ff.0.0.weight', 'transformer.transformer_blocks.20.ff.ff.0.0.weight'}, {'ema_model.transformer.transformer_blocks.20.ff.ff.0.0.bias', 'transformer.transformer_blocks.20.ff.ff.0.0.bias'}, {'transformer.transformer_blocks.20.ff.ff.2.weight', 'ema_model.transformer.transformer_blocks.20.ff.ff.2.weight'}, {'transformer.transformer_blocks.20.ff.ff.2.bias', 'ema_model.transformer.transformer_blocks.20.ff.ff.2.bias'}, {'ema_model.transformer.transformer_blocks.21.attn_norm.linear.weight', 'transformer.transformer_blocks.21.attn_norm.linear.weight'}, {'transformer.transformer_blocks.21.attn_norm.linear.bias', 'ema_model.transformer.transformer_blocks.21.attn_norm.linear.bias'}, {'ema_model.transformer.transformer_blocks.21.attn.to_q.weight', 'transformer.transformer_blocks.21.attn.to_q.weight'}, {'ema_model.transformer.transformer_blocks.21.attn.to_q.bias', 'transformer.transformer_blocks.21.attn.to_q.bias'}, {'transformer.transformer_blocks.21.attn.to_k.weight', 'ema_model.transformer.transformer_blocks.21.attn.to_k.weight'}, {'ema_model.transformer.transformer_blocks.21.attn.to_k.bias', 'transformer.transformer_blocks.21.attn.to_k.bias'}, {'ema_model.transformer.transformer_blocks.21.attn.to_v.weight', 'transformer.transformer_blocks.21.attn.to_v.weight'}, {'ema_model.transformer.transformer_blocks.21.attn.to_v.bias', 'transformer.transformer_blocks.21.attn.to_v.bias'}, {'transformer.transformer_blocks.21.attn.to_out.0.weight', 'ema_model.transformer.transformer_blocks.21.attn.to_out.0.weight'}, {'ema_model.transformer.transformer_blocks.21.attn.to_out.0.bias', 'transformer.transformer_blocks.21.attn.to_out.0.bias'}, {'transformer.transformer_blocks.21.ff.ff.0.0.weight', 'ema_model.transformer.transformer_blocks.21.ff.ff.0.0.weight'}, {'ema_model.transformer.transformer_blocks.21.ff.ff.0.0.bias', 'transformer.transformer_blocks.21.ff.ff.0.0.bias'}, {'transformer.transformer_blocks.21.ff.ff.2.weight', 'ema_model.transformer.transformer_blocks.21.ff.ff.2.weight'}, {'transformer.transformer_blocks.21.ff.ff.2.bias', 'ema_model.transformer.transformer_blocks.21.ff.ff.2.bias'}, {'transformer.norm_out.linear.weight', 'ema_model.transformer.norm_out.linear.weight'}, {'ema_model.transformer.norm_out.linear.bias', 'transformer.norm_out.linear.bias'}, {'transformer.proj_out.weight', 'ema_model.transformer.proj_out.weight'}, {'ema_model.transformer.proj_out.bias', 'transformer.proj_out.bias'}].
            A potential way to correctly save your model is to use `save_model`.
            More information at https://huggingface.co/docs/safetensors/torch_shared_tensors