Add low_cpu_mem_usage option to from_single_file to align with from_pretrained

[IrisRainbowNeko]

What does this PR do?

from_single_file can lead to errors in training model:

File "/home/dongziyi/miniconda3/envs/pt25/lib/python3.11/site-packages/diffusers/loaders/single_file_model.py", line 447, in from_single_file                                       
    dispatch_model(model, **device_map_kwargs)                                                                                                                                        
  File "/home/dongziyi/miniconda3/envs/pt25/lib/python3.11/site-packages/accelerate/big_modeling.py", line 502, in dispatch_model                                                     
    model.to(device)                                                                                                                                                                  
  File "/home/dongziyi/miniconda3/envs/pt25/lib/python3.11/site-packages/diffusers/models/modeling_utils.py", line 1383, in to                                                        
    return super().to(*args, **kwargs)                                                                                                                                                
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^                                                                                                                                                
  File "/home/dongziyi/miniconda3/envs/pt25/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1343, in to                                                                
    return self._apply(convert)                                                                                                                                                       
           ^^^^^^^^^^^^^^^^^^^^                                                                                                                                                       
  File "/home/dongziyi/miniconda3/envs/pt25/lib/python3.11/site-packages/torch/nn/modules/module.py", line 903, in _apply                                                             
    module._apply(fn)                                                                                                                                                                 
  File "/home/dongziyi/miniconda3/envs/pt25/lib/python3.11/site-packages/torch/nn/modules/module.py", line 903, in _apply                                                             
    module._apply(fn)                                                                                                                                                                 
  File "/home/dongziyi/miniconda3/envs/pt25/lib/python3.11/site-packages/torch/nn/modules/module.py", line 903, in _apply                                                             
    module._apply(fn)                                                                                                                                                                 
  [Previous line repeated 5 more times]                                                                                                                                               
  File "/home/dongziyi/miniconda3/envs/pt25/lib/python3.11/site-packages/torch/nn/modules/module.py", line 930, in _apply                                                             
    param_applied = fn(param)                                                                                                                                                         
                    ^^^^^^^^^                                                                                                                                                         
  File "/home/dongziyi/miniconda3/envs/pt25/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1336, in convert                                                           
    raise NotImplementedError(                                                                                                                                                        
NotImplementedError: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device.                                                                   

Add low_cpu_mem_usage option for from_single_file to align with from_pretrained. Allow users to set not to create the model on the meta device.

Example:

UNet2DConditionModel.from_single_file(ckpt_path, torch_dtype=dtype, low_cpu_mem_usage=False)

Fixes #8320

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Did you read the contributor guideline?
• Did you read our philosophy doc (important for complex PRs)?
• Was this discussed/approved via a GitHub issue or the forum? Please add a link to it if that's the case.
• Did you make sure to update the documentation with your changes? Here are the
  documentation guidelines, and
  here are tips on formatting docstrings.
• Did you write any new necessary tests?

Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

[HuggingFaceDocBuilderDev]

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

[DN6]

@bot /style

[github-actions]

Style bot fixed some files and pushed the changes.