add description to VAE setting page

        self.onchange = onchange

        self.section = section

        self.refresh = refresh

        self.do_not_save = False

        self.comment_before = comment_before

        """HTML text that will be added after label in UI"""

        return self

class OptionHTML(OptionInfo):

    def __init__(self, text):

        super().__init__(str(text).strip(), label='', component=lambda **kwargs: gr.HTML(elem_classes="settings-info", **kwargs))

        self.do_not_save = True

def options_section(section_identifier, options_dict):

    for v in options_dict.values():

        v.section = section_identifier

}))

options_templates.update(options_section(('vae', "VAE"), {

    "sd_vae_explanation": OptionHTML("""

<abbr title='Variational autoencoder'>VAE</abbr> is a neural network that transforms a standard <abbr title='red/green/blue'>RGB</abbr>

image into latent space representation and back. Latent space representation is what stable diffusion is working on during sampling

(i.e. when the progress bar is between empty and full). For txt2img, VAE is used to create a resulting image after the sampling is finished.

For img2img, VAE is used to process user's input image before the sampling, and to create an image after sampling.

"""),

    "sd_vae_checkpoint_cache": OptionInfo(0, "VAE Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),

    "sd_vae": OptionInfo("Automatic", "SD VAE", gr.Dropdown, lambda: {"choices": shared_items.sd_vae_items()}, refresh=shared_items.refresh_vae_list).info("choose VAE model: Automatic = use one with same filename as checkpoint; None = use VAE from checkpoint"),

    "sd_vae_as_default": OptionInfo(True, "Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them"),

                assert not cmd_opts.freeze_settings, "changing settings is disabled"

                info = opts.data_labels.get(key, None)

                if info.do_not_save:

                    return

                comp_args = info.component_args if info else None

                if isinstance(comp_args, dict) and comp_args.get('visible', True) is False:

                    raise RuntimeError(f"not possible to set {key} because it is restricted")

        if oldval == value:

            return False

        if self.data_labels[key].do_not_save:

            return False

        try:

            setattr(self, key, value)

        except RuntimeError:

    font-size: 18pt;

}

#settings .settings-info{

    max-width: 48em;

    border: 1px dotted #777;

    margin: 0;

    padding: 1em;

}

/* live preview */

.progressDiv{