UI/app structure and utility implementation.

- Initializers for webui/API launch
- Schedulers file for SD scheduling utilities
- Additions to API-level utilities
- Added embeddings module for LoRA, Lycoris, yada yada
- Added image_processing module for resamplers, resize tools,
  transforms, and any image annotation (PNG metadata)
- shared_cmd_opts module -- sorry, this is stable_args.py. It lives on.
  We still want to have some global control over the app exclusively
  from the command-line. At least we will be free from shark_args.
- Moving around some utility pieces.
- Try to make api+webui concurrency possible in index.py
- SD UI -- this is just img2imgUI but hopefully a little better.
- UI utilities for your nod logos and your gradio temps.

Enable UI / bugfixes / tweaks

* Updates ProcessLoRA to use both embedded LoRA alpha, and lora_strength
optional parameter (default 1.0) when applying LoRA weights.
* Updates ProcessLoRA to cover more dim cases.
* This bring ProcessLoRA into line with PR #2015 against Studio1

* Remove duplicate os import
* Remove duplicate parse_seed_input function

Migrating to JSON requests in SD UI

More UI and app flow improvements, logging, shared device cache

Model loading

Complete SD pipeline.

Tweaks to VAE, pipeline states

Pipeline tweaks, add cmd_opts parsing to sd api

* Streaming LLM

* Update precision and add gpu support

* (studio2) Separate weights generation for quantization support

* Adapt prompt changes to studio flow

* Remove outdated flag from llm compile flags.

* (studio2) use turbine vmfbRunner

* tweaks to prompts

* Update CPU path and llm api test.

* Change device in test to cpu.

* Fixes to runner, device names, vmfb mgmt

* Use small test without external weights.

…2080)

* HF-Reference LLM mode.

* Fixup test to match current output from Turbine.

* lint

* Fix test error message + Only initialize HF torch model when used.

* Remove redundant format_out change.