Add import_hook hack to work around basicsr/torchvision incompatibility

slight optimization for mask and mask_composite 

Fixes #13985

Fix `save_samples` being checked early when saving masked composite

Re-add `keyedit_delimiters_whitespace` setting lost as part of commit e294e46d

Initial IPEX support for Intel Arc GPU

preprocessing upscale: do not do an extra upscale step if it's not needed

dir buttons start with / so only the correct dir will be shown and no…

use extension name for determining an extension is installed in the index

catch uncaught exception with ui creation scripts

Allow use of mutiple styles csv files

Support XYZ scripts / split hires path from unet

Update devices.py - Make 'use-cpu all' actually apply to 'all'

Fix auto focal point crop for opencv >= 4.8

add Block component creation callback

Add FP32 fallback support on sd_vae_approx

fix not able to exit metadata popup when pop up is too big

Add support for SD 2.1 Turbo

infotext updates: add option to disregard certain infotext fields, add option to not include VAE in infotext, add explanation to infotext settings page, move some options to infotext settings page

Fix bug where is_using_v_parameterization_for_sd2 fails because the sd_hijack is only partially undone

prevent the pop-up from being too big as to making exiting the pop-up impossible

This tries to execute interpolate with FP32 if it failed.

Background is that
on some environment such as Mx chip MacOS devices, we get error as follows:

```
"torch/nn/functional.py", line 3931, in interpolate
        return torch._C._nn.upsample_nearest2d(input, output_size, scale_factors)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    RuntimeError: "upsample_nearest2d_channels_last" not implemented for 'Half'
```

In this case, ```--no-half``` doesn't help to solve. Therefore this commits add the FP32 fallback execution to solve it.

Note that the ```upsample_nearest2d``` is called from ```torch.nn.functional.interpolate```.
And the fallback for torch.nn.functional.interpolate is necessary at
```modules/sd_vae_approx.py``` 's ```VAEApprox.forward```
```repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py``` 's ```Upsample.forward```

This reverts commit 58c19545.
Since the modification is expected to move to mac_specific.py
(https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14046#issuecomment-1826731532)

autocrop.download_and_cache_models
in opencv >= 4.8 the face detection model was updated
download the base on opencv version
returns the model path or raise exception