Fix img2img-alternative-test script for SD v2.x

Don't bubble when metadata_button is clicked

Fix problem of install.py when data-dir is specified

Unload and re-load checkpoint to VRAM on request (API & Manual)

Move `load_file_from_url` import

Fix scripts load order

Add ability to display and/or save inpainting mask and masked composite

disable gradio css transitions

fix variable typo

Support git submodule for extension and Fix Windows PermissionError

Loopback Script Updates

Fixes xyz extra_generation_params not being saved (previously worked)

fixed typo in prompt-bracket-checker.js which leads to js error

Fix None type error for TI module

Add PyTorch 2.0 support for macOS, fix image generation on macOS 13.2.X

--upcast-sampling support for CUDA

fix broken image dragging

more stylistic changes

more stylistic changes

fix dropdown obscured by live preview
stylistic changes

fix broken image dragging

When user using model_name.png as a preview image, textural_inversion.py still treat it as an embeding, and didn't handle its error, just let python throw out an None type error like following:
```bash
  File "D:\Work\Dev\AI\stable-diffusion-webui\modules\textual_inversion\textual_inversion.py", line 155, in load_from_file
    name = data.get('name', name)
AttributeError: 'NoneType' object has no attribute 'get'
```

With just a simple `if data:` checking as following, there will be no error, breaks nothing, and now this module can works fine with user's preview images.
Old code:  
```python
                data = extract_image_data_embed(embed_image)
                name = data.get('name', name)
```
New code:  
```python
                data = extract_image_data_embed(embed_image)
                if data:
                    name = data.get('name', name)
                else:
                    # if data is None, means this is not an embeding, just a preview image
                    return
```

Also, since there is no more errors on textual inversion module, from now on, extra network can set "model_name.png" as preview image for embedings.

On PyTorch 2.0, with MPS layer_norm only accepts float32 inputs. This was fixed shortly after 2.0 was finalized so the workaround can be applied with an exact version match.

Credit to danieldk (https://github.com/explosion/curated-transformers/pull/124) for the workaround this is based on.

The loopback script did not set masked content to original after first loop. So each loop would apply a fill, or latent mask. This would essentially reset progress each loop.

The desired behavior is to use the mask for the first loop, then continue to iterate on the results of the previous loop.