edit attention key handler: return early when weight parse returns NaN

deepbooru tags for textual inversion preproccessing

What:
* Update wrap_gradio_call to add a limit to the maximum amount of text output

Why:
* wrap_gradio_call currently prints out a list of the arguments provided to the failing function.
   * if that function is save_image, this causes the entire image to be printed to stderr
    * If the image is large, this can cause the service to lock up while attempting to print all the text
 * It is easy to generate large images using the x/y plot script
 * it is easy to encounter image save exceptions, including if the output directory does not exist / cannot be written to, or if the file is too big
  * The huge amount of log spam is confusing and not particularly helpful

Correct typo to "Unload VAE and CLIP from VRAM when training" in settings tab.

resolved conflicts, moved settings under interrogate section, settings only show if deepbooru flag is enabled

Added learning_rate scheduling for TI

Textual Inversion: Preprocess and Training will only pick-up image files instead

* Add cross-attention optimization from InvokeAI (~30% speed improvement on MPS)
* Add command line option for it
* Make it default when CUDA is unavailable

Refresh list of models/ckpts upon hitting restart gradio in the setti…

add codeowners file so stop the great guys who are collaborating on the project from merging in PRs.

no pickle shall pass
thank you again, RyotaK

add features, credit for composable diffusion

rename hypernetwork dir to hypernetworks to prevent clash with an old filename that people who use zip instead of git clone will have