From 75b90a5e403b7037430b6c9db956844d2d1c1c4d Mon Sep 17 00:00:00 2001 From: AUTOMATIC <16777216c@gmail.com> Date: Thu, 22 Sep 2022 20:41:22 +0300 Subject: [PATCH] emergency fix for the settings screen breaking the program --- modules/shared.py | 197 ++++++++++++++++++++++++---------------------- 1 file changed, 103 insertions(+), 94 deletions(-) diff --git a/modules/shared.py b/modules/shared.py index 96d78b45..009a4940 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -99,103 +99,112 @@ 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 OptionInfo: + def __init__(self, default=None, label="", component=None, component_args=None, onchange=None): + self.default = default + self.label = label + self.component = component + self.component_args = component_args + self.onchange = onchange + + +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"), + "save_txt": OptionInfo(False, "Create a text file next to every image with generation parameters."), + "ESRGAN_tile": OptionInfo(192, "Tile size for ESRGAN upscalers. 0 = no tiling.", gr.Slider, {"minimum": 0, "maximum": 512, "step": 16}), + "ESRGAN_tile_overlap": OptionInfo(8, "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.", gr.Slider, {"minimum": 0, "maximum": 48, "step": 1}), + "realesrgan_enabled_models": OptionInfo(["Real-ESRGAN 4x plus", "Real-ESRGAN 4x plus anime 6B"], "Select which RealESRGAN models to show in the web UI. (Requires restart)", gr.CheckboxGroup, lambda: {"choices": realesrgan_models_names()}), + "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_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}), + "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."), + "face_restoration_unload": OptionInfo(False, "Move face restoration model from VRAM into RAM after processing"), + "sd_model_checkpoint": OptionInfo(None, "Stable Diffusion checkpoint", gr.Radio, lambda: {"choices": [x.title for x in modules.sd_models.checkpoints_list.values()]}), + "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"), +})) + +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"), + "directories_filename_pattern": OptionInfo("", "Directory name pattern"), + "directories_max_prompt_words": OptionInfo(8, "Max prompt words", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1}), + "outdir_samples": OptionInfo("", "Output directory for images; if empty, defaults to two directories below", component_args=hide_dirs), + "outdir_txt2img_samples": OptionInfo("outputs/txt2img-images", 'Output directory for txt2img images', component_args=hide_dirs), + "outdir_img2img_samples": OptionInfo("outputs/img2img-images", 'Output directory for img2img images', component_args=hide_dirs), + "outdir_extras_samples": OptionInfo("outputs/extras-images", 'Output directory for images from extras tab', component_args=hide_dirs), + "outdir_grids": OptionInfo("", "Output directory for grids; if empty, defaults to two directories below", component_args=hide_dirs), + "outdir_txt2img_grids": OptionInfo("outputs/txt2img-grids", 'Output directory for txt2img grids', component_args=hide_dirs), + "outdir_img2img_grids": OptionInfo("outputs/img2img-grids", 'Output directory for img2img grids', component_args=hide_dirs), + "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"), +})) + +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'), +})) + +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}), +})) + +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"), +})) + +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: - class OptionInfo: - def __init__(self, default=None, label="", component=None, component_args=None, onchange=None): - self.default = default - self.label = label - self.component = component - 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"),{ - "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"), - "save_txt": OptionInfo(False, "Create a text file next to every image with generation parameters."), - "ESRGAN_tile": OptionInfo(192, "Tile size for ESRGAN upscalers. 0 = no tiling.", gr.Slider, {"minimum": 0, "maximum": 512, "step": 16}), - "ESRGAN_tile_overlap": OptionInfo(8, "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.", gr.Slider, {"minimum": 0, "maximum": 48, "step": 1}), - "realesrgan_enabled_models": OptionInfo(["Real-ESRGAN 4x plus", "Real-ESRGAN 4x plus anime 6B"], "Select which RealESRGAN models to show in the web UI. (Requires restart)", gr.CheckboxGroup, lambda: {"choices": realesrgan_models_names()}), - "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_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}), - "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."), - "face_restoration_unload": OptionInfo(False, "Move face restoration model from VRAM into RAM after processing"), - "sd_model_checkpoint": OptionInfo(None, "Stable Diffusion checkpoint", gr.Radio, lambda: {"choices": [x.title for x in modules.sd_models.checkpoints_list.values()]}), - "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"),{ - "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"), - "directories_filename_pattern": OptionInfo("", "Directory name pattern"), - "directories_max_prompt_words": OptionInfo(8, "Max prompt words", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1}), - "outdir_samples": OptionInfo("", "Output directory for images; if empty, defaults to two directories below", component_args=hide_dirs), - "outdir_txt2img_samples": OptionInfo("outputs/txt2img-images", 'Output directory for txt2img images', component_args=hide_dirs), - "outdir_img2img_samples": OptionInfo("outputs/img2img-images", 'Output directory for img2img images', component_args=hide_dirs), - "outdir_extras_samples": OptionInfo("outputs/extras-images", 'Output directory for images from extras tab', component_args=hide_dirs), - "outdir_grids": OptionInfo("", "Output directory for grids; if empty, defaults to two directories below", component_args=hide_dirs), - "outdir_txt2img_grids": OptionInfo("outputs/txt2img-grids", 'Output directory for txt2img grids', component_args=hide_dirs), - "outdir_img2img_grids": OptionInfo("outputs/img2img-grids", 'Output directory for img2img grids', component_args=hide_dirs), - "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"),{ - "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"),{ - "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"),{ - "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"),{ - "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)"), - })) + data_labels = options_templates def __init__(self): self.data = {k: v.default for k, v in self.data_labels.items()}