emergency fix for the settings screen breaking the program

modules/shared.py

@@ -99,13 +99,8 @@ 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:
-    class OptionInfo:
     def __init__(self, default=None, label="", component=None, component_args=None, onchange=None):
         self.default = default
         self.label = label
@@ -113,10 +108,19 @@ class Options:
         self.component_args = component_args
         self.onchange = onchange
 
-    data = None
-    hide_dirs = {"visible": False} if cmd_opts.hide_ui_dir_config else None
 
-    data_labels.update(optionsSection((0,"General"),{
+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
+
+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"),
@@ -127,14 +131,14 @@ class Options:
     "SWIN_tile": OptionInfo(192, "Tile size for all SwinIR.", gr.Slider, {"minimum": 16, "maximum": 512, "step": 16}),
     "SWIN_tile_overlap": OptionInfo(8, "Tile overlap, in pixels for SwinIR. Low values = visible seam.", gr.Slider, {"minimum": 0, "maximum": 48, "step": 1}),
     "ldsr_steps": OptionInfo(100, "LDSR processing steps. Lower = faster", gr.Slider, {"minimum": 1, "maximum": 200, "step": 1}),
-        "ldsr_pre_down":OptionInfo(1, "LDSR Pre-process downssample scale. 1 = no down-sampling, 4 = 1/4 scale.", gr.Slider, {"minimum": 1, "maximum": 4, "step": 1}),
+    "ldsr_pre_down": OptionInfo(1, "LDSR Pre-process downssample scale. 1 = no down-sampling, 4 = 1/4 scale.", gr.Slider, {"minimum": 1, "maximum": 4, "step": 1}),
-        "ldsr_post_down":OptionInfo(1, "LDSR Post-process down-sample scale. 1 = no down-sampling, 4 = 1/4 scale.", gr.Slider, {"minimum": 1, "maximum": 4, "step": 1}),
+    "ldsr_post_down": OptionInfo(1, "LDSR Post-process down-sample scale. 1 = no down-sampling, 4 = 1/4 scale.", gr.Slider, {"minimum": 1, "maximum": 4, "step": 1}),
     "random_artist_categories": OptionInfo([], "Allowed categories for random artists selection when using the Roll button", gr.CheckboxGroup, {"choices": artist_db.categories()}),
     "upscaler_for_hires_fix": OptionInfo(None, "Upscaler for highres. fix", gr.Radio, lambda: {"choices": [x.name for x in sd_upscalers]}),
     "show_progressbar": OptionInfo(True, "Show progressbar"),
     "show_progress_every_n_steps": OptionInfo(0, "Show show image creation progress every N sampling steps. Set 0 to disable.", gr.Slider, {"minimum": 0, "maximum": 32, "step": 1}),
     "multiple_tqdm": OptionInfo(True, "Add a second progress bar to the console that shows progress for an entire job. Broken in PyCharm console."),
-        "memmon_poll_rate": OptionInfo(8, "VRAM usage polls per second during generation. Set to 0 to disable.", gr.Slider, {"minimum": 0, "maximum": 40, "step":1}),
+    "memmon_poll_rate": OptionInfo(8, "VRAM usage polls per second during generation. Set to 0 to disable.", gr.Slider, {"minimum": 0, "maximum": 40, "step": 1}),
     "face_restoration_model": OptionInfo(None, "Face restoration model", gr.Radio, lambda: {"choices": [x.name() for x in face_restorers]}),
     "code_former_weight": OptionInfo(0.5, "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),
     "save_images_before_face_restoration": OptionInfo(False, "Save a copy of image before doing face restoration."),
@@ -143,9 +147,9 @@ class Options:
     "js_modal_lightbox": OptionInfo(True, "Enable full page image viewer"),
     "js_modal_lightbox_initialy_zoomed": OptionInfo(True, "Show images zoomed in by default in full page image viewer"),
     "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"),
@@ -161,41 +165,46 @@ class Options:
     "outdir_save": OptionInfo("log/images", "Directory for saving images using the Save button", component_args=hide_dirs),
     "jpeg_quality": OptionInfo(80, "Quality for saved jpeg images", gr.Slider, {"minimum": 1, "maximum": 100, "step": 1}),
     "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'),
     "grid_extended_filename": OptionInfo(False, "Add extended info (seed, prompt) to filename when saving grid"),
     "grid_only_if_multiple": OptionInfo(True, "Do not save grids consisting of one picture"),
     "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."),
     "font": OptionInfo("", "Font for image grids that have text"),
     "enable_emphasis": OptionInfo(True, "Use (text) to make model pay more attention to text and [text] to make it pay less attention"),
     "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}),
     "interrogate_clip_min_length": OptionInfo(24, "Interrogate: minimum description length (excluding artists, etc..)", gr.Slider, {"minimum": 1, "maximum": 128, "step": 1}),
     "interrogate_clip_max_length": OptionInfo(48, "Interrogate: maximum description length", gr.Slider, {"minimum": 1, "maximum": 256, "step": 1}),
     "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()}