emergency fix for the settings screen breaking the program

modules/shared.py

@@ -99,12 +99,7 @@ def realesrgan_models_names():
     import modules.realesrgan_model
     return [x.name for x in modules.realesrgan_model.get_realesrgan_models()]
 
-def optionsSection(sectionIdentifer,optionsDict):
-  for k,v in optionsDict.items():
-    v.section = sectionIdentifer
-  return optionsDict
 
-class Options:
 class OptionInfo:
     def __init__(self, default=None, label="", component=None, component_args=None, onchange=None):
         self.default = default
@@ -113,10 +108,19 @@ class Options:
         self.component_args = component_args
         self.onchange = onchange
 
-    data = None
+
+def options_section(section_identifer, options_dict):
+    for k, v in options_dict.items():
+        v.section = section_identifer
+
+    return options_dict
+
+
 hide_dirs = {"visible": False} if cmd_opts.hide_ui_dir_config else None
 
-    data_labels.update(optionsSection((0,"General"),{
+options_templates = {}
+
+options_templates.update(options_section((0, "General"), {
     "filter_nsfw": OptionInfo(False, "Filter NSFW content"),
     "enable_pnginfo": OptionInfo(True, "Save text information about generation parameters as chunks to png files"),
     "add_model_hash_to_info": OptionInfo(False, "Add model hash to generation information"),
@@ -145,7 +149,7 @@ class Options:
     "use_original_name_batch": OptionInfo(False, "Use original name for output filename during batch process"),
 }))
 
-    data_labels.update(optionsSection((1,"File and Folder Locations"),{
+options_templates.update(options_section((1, "File and Folder Locations"), {
     "samples_filename_pattern": OptionInfo("", "Images filename pattern"),
     "save_to_dirs": OptionInfo(False, "Save images to a subdirectory"),
     "grid_save_to_dirs": OptionInfo(False, "Save grids to subdirectory"),
@@ -163,14 +167,14 @@ class Options:
     "export_for_4chan": OptionInfo(True, "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG"),
 }))
 
-    data_labels.update(optionsSection((2,"Sampling Options"),{
+options_templates.update(options_section((2, "Sampling Options"), {
     "samples_save": OptionInfo(True, "Always save all generated images"),
     "samples_log_stdout": OptionInfo(False, "Always print all generation info to standard output"),
     "save_selected_only": OptionInfo(False, "When using 'Save' button, only save a single selected image"),
     "samples_format": OptionInfo('png', 'File format for individual samples'),
 }))
 
-    data_labels.update(optionsSection((3,"Grid Options"),{
+options_templates.update(options_section((3, "Grid Options"), {
     "grid_save": OptionInfo(True, "Always save all generated image grids"),
     "return_grid": OptionInfo(True, "Show grid in results for web"),
     "grid_format": OptionInfo('png', 'File format for grids'),
@@ -179,7 +183,7 @@ class Options:
     "n_rows": OptionInfo(-1, "Grid row count; use -1 for autodetect and 0 for it to be same as batch size", gr.Slider, {"minimum": -1, "maximum": 16, "step": 1}),
 }))
 
-    data_labels.update(optionsSection((4,"Model Options"),{
+options_templates.update(options_section((4, "Model Options"), {
     "img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."),
     "img2img_fix_steps": OptionInfo(False, "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising)."),
     "enable_quantization": OptionInfo(False, "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply."),
@@ -188,7 +192,7 @@ class Options:
     "enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
 }))
 
-    data_labels.update(optionsSection((5,"Interrogate Options"),{
+options_templates.update(options_section((5, "Interrogate Options"), {
     "interrogate_keep_models_in_memory": OptionInfo(False, "Interrogate: keep models in VRAM"),
     "interrogate_use_builtin_artists": OptionInfo(True, "Interrogate: use artists from artists.csv"),
     "interrogate_clip_num_beams": OptionInfo(1, "Interrogate: num_beams for BLIP", gr.Slider, {"minimum": 1, "maximum": 16, "step": 1}),
@@ -197,6 +201,11 @@ class Options:
     "interrogate_clip_dict_limit": OptionInfo(1500, "Interrogate: maximum number of lines in text file (0 = No limit)"),
 }))
 
+
+class Options:
+    data = None
+    data_labels = options_templates
+
     def __init__(self):
         self.data = {k: v.default for k, v in self.data_labels.items()}