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This sampler is an LCM sampler that upscales the latent during sampling.

It can be used to generate at a higher resolution with an LCM model very
quickly.

To try it use it with a basic 5 step LCM workflow with scale_ratio 1.5 or
2.0

* Make input/widget conversion sub-menus optional

* Improve input/widget conversion sub-menu text

- Fix incorrect text for conversion from widget to input, previously it
  effectively said "convert input to input"
- Use "input" instead of "🔘".  The former is clearer and consistent
  with the rest of the application.
- Use title case (consistent with the rest of the menu entries).
- Strip the trailing periods. There is already a visual indicator for
  sub-menus, and no other sub-menus use trailing periods.

Fixed an issue where the main menu disappears intermittently as the coordinates become negative. (#3269)

This should be less confusing to those who want to use multiline input
without them.

If you don't like them I am open to a PR.

* A1111 import: Set VAE name

This patch sets the VAE name for the `VAELoader` when present in the png
metadata.

* A1111 import: Skip all hashes

When importing from A1111 the parsing assumes that values of a key will
never contain a ":", which is not correct.

There are 2 cases where we can have ":" in the value:

- Inside a string. E.g.:
  Lora hashes: "xl_more_art-full_v1: fe3b4816be83, add-detail-xl: 9c783c8ce46c"

- When the value is a json dictionary. E.g.:
  Hashes: {"vae": "63aeecb90f", "embed:negativeXL_D": "fff5d51ab6"}

This patch changes how we parse the metadata to take those 2 cases into
account and also skips the following additional keys that are present in
some Forge images:

- Version
- VAE hash
- TI hashes
- Lora hashes
- Hashes

* A1111 import: Parse Hires steps

This patch parses the `Hires steps` parameter that is part of the High
Resolution Upscale configuration when it  is present, and fallbacks to
the one from the `samplerNode` (like the code currently does) if it's
not present.