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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-06-07 21:20:49 +00:00
settings categories split to columns, remade categories
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AUTOMATIC
parent
75b90a5e40
commit
77cf346d93
@ -107,6 +107,7 @@ class OptionInfo:
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self.component = component
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self.component_args = component_args
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self.onchange = onchange
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self.section = None
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def options_section(section_identifer, options_dict):
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@ -120,11 +121,45 @@ hide_dirs = {"visible": False} if cmd_opts.hide_ui_dir_config else None
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options_templates = {}
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options_templates.update(options_section((0, "General"), {
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"filter_nsfw": OptionInfo(False, "Filter NSFW content"),
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options_templates.update(options_section(('saving-images', "Saving images/grids"), {
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"samples_save": OptionInfo(True, "Always save all generated images"),
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"samples_format": OptionInfo('png', 'File format for images'),
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"samples_filename_pattern": OptionInfo("", "Images filename pattern"),
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"grid_save": OptionInfo(True, "Always save all generated image grids"),
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"grid_format": OptionInfo('png', 'File format for grids'),
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"grid_extended_filename": OptionInfo(False, "Add extended info (seed, prompt) to filename when saving grid"),
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"grid_only_if_multiple": OptionInfo(True, "Do not save grids consisting of one picture"),
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"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}),
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"enable_pnginfo": OptionInfo(True, "Save text information about generation parameters as chunks to png files"),
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"add_model_hash_to_info": OptionInfo(False, "Add model hash to generation information"),
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"save_txt": OptionInfo(False, "Create a text file next to every image with generation parameters."),
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"save_images_before_face_restoration": OptionInfo(False, "Save a copy of image before doing face restoration."),
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"jpeg_quality": OptionInfo(80, "Quality for saved jpeg images", gr.Slider, {"minimum": 1, "maximum": 100, "step": 1}),
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"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"),
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"use_original_name_batch": OptionInfo(False, "Use original name for output filename during batch process in extras tab"),
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}))
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options_templates.update(options_section(('saving-paths', "Paths for saving"), {
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"outdir_samples": OptionInfo("", "Output directory for images; if empty, defaults to three directories below", component_args=hide_dirs),
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"outdir_txt2img_samples": OptionInfo("outputs/txt2img-images", 'Output directory for txt2img images', component_args=hide_dirs),
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"outdir_img2img_samples": OptionInfo("outputs/img2img-images", 'Output directory for img2img images', component_args=hide_dirs),
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"outdir_extras_samples": OptionInfo("outputs/extras-images", 'Output directory for images from extras tab', component_args=hide_dirs),
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"outdir_grids": OptionInfo("", "Output directory for grids; if empty, defaults to two directories below", component_args=hide_dirs),
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"outdir_txt2img_grids": OptionInfo("outputs/txt2img-grids", 'Output directory for txt2img grids', component_args=hide_dirs),
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"outdir_img2img_grids": OptionInfo("outputs/img2img-grids", 'Output directory for img2img grids', component_args=hide_dirs),
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"outdir_save": OptionInfo("log/images", "Directory for saving images using the Save button", component_args=hide_dirs),
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}))
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options_templates.update(options_section(('saving-to-dirs', "Saving to a directory"), {
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"save_to_dirs": OptionInfo(False, "Save images to a subdirectory"),
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"grid_save_to_dirs": OptionInfo(False, "Save grids to subdirectory"),
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"directories_filename_pattern": OptionInfo("", "Directory name pattern"),
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"directories_max_prompt_words": OptionInfo(8, "Max prompt words", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1}),
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}))
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options_templates.update(options_section(('upscaling', "Upscaling"), {
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"ESRGAN_tile": OptionInfo(192, "Tile size for ESRGAN upscalers. 0 = no tiling.", gr.Slider, {"minimum": 0, "maximum": 512, "step": 16}),
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"ESRGAN_tile_overlap": OptionInfo(8, "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.", gr.Slider, {"minimum": 0, "maximum": 48, "step": 1}),
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"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()}),
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@ -133,66 +168,35 @@ options_templates.update(options_section((0, "General"), {
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"ldsr_steps": OptionInfo(100, "LDSR processing steps. Lower = faster", gr.Slider, {"minimum": 1, "maximum": 200, "step": 1}),
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"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}),
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"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}),
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"random_artist_categories": OptionInfo([], "Allowed categories for random artists selection when using the Roll button", gr.CheckboxGroup, {"choices": artist_db.categories()}),
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"upscaler_for_hires_fix": OptionInfo(None, "Upscaler for highres. fix", gr.Radio, lambda: {"choices": [x.name for x in sd_upscalers]}),
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"show_progressbar": OptionInfo(True, "Show progressbar"),
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"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}),
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"multiple_tqdm": OptionInfo(True, "Add a second progress bar to the console that shows progress for an entire job. Broken in PyCharm console."),
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"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}),
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}))
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options_templates.update(options_section(('face-restoration', "Face restoration"), {
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"face_restoration_model": OptionInfo(None, "Face restoration model", gr.Radio, lambda: {"choices": [x.name() for x in face_restorers]}),
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"code_former_weight": OptionInfo(0.5, "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),
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"save_images_before_face_restoration": OptionInfo(False, "Save a copy of image before doing face restoration."),
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"face_restoration_unload": OptionInfo(False, "Move face restoration model from VRAM into RAM after processing"),
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"sd_model_checkpoint": OptionInfo(None, "Stable Diffusion checkpoint", gr.Radio, lambda: {"choices": [x.title for x in modules.sd_models.checkpoints_list.values()]}),
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"js_modal_lightbox": OptionInfo(True, "Enable full page image viewer"),
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"js_modal_lightbox_initialy_zoomed": OptionInfo(True, "Show images zoomed in by default in full page image viewer"),
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"use_original_name_batch": OptionInfo(False, "Use original name for output filename during batch process"),
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}))
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options_templates.update(options_section((1, "File and Folder Locations"), {
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"samples_filename_pattern": OptionInfo("", "Images filename pattern"),
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"save_to_dirs": OptionInfo(False, "Save images to a subdirectory"),
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"grid_save_to_dirs": OptionInfo(False, "Save grids to subdirectory"),
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"directories_filename_pattern": OptionInfo("", "Directory name pattern"),
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"directories_max_prompt_words": OptionInfo(8, "Max prompt words", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1}),
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"outdir_samples": OptionInfo("", "Output directory for images; if empty, defaults to two directories below", component_args=hide_dirs),
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"outdir_txt2img_samples": OptionInfo("outputs/txt2img-images", 'Output directory for txt2img images', component_args=hide_dirs),
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"outdir_img2img_samples": OptionInfo("outputs/img2img-images", 'Output directory for img2img images', component_args=hide_dirs),
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"outdir_extras_samples": OptionInfo("outputs/extras-images", 'Output directory for images from extras tab', component_args=hide_dirs),
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"outdir_grids": OptionInfo("", "Output directory for grids; if empty, defaults to two directories below", component_args=hide_dirs),
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"outdir_txt2img_grids": OptionInfo("outputs/txt2img-grids", 'Output directory for txt2img grids', component_args=hide_dirs),
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"outdir_img2img_grids": OptionInfo("outputs/img2img-grids", 'Output directory for img2img grids', component_args=hide_dirs),
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"outdir_save": OptionInfo("log/images", "Directory for saving images using the Save button", component_args=hide_dirs),
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"jpeg_quality": OptionInfo(80, "Quality for saved jpeg images", gr.Slider, {"minimum": 1, "maximum": 100, "step": 1}),
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"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"),
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}))
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options_templates.update(options_section((2, "Sampling Options"), {
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"samples_save": OptionInfo(True, "Always save all generated images"),
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"samples_log_stdout": OptionInfo(False, "Always print all generation info to standard output"),
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"save_selected_only": OptionInfo(False, "When using 'Save' button, only save a single selected image"),
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"samples_format": OptionInfo('png', 'File format for individual samples'),
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}))
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options_templates.update(options_section((3, "Grid Options"), {
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"grid_save": OptionInfo(True, "Always save all generated image grids"),
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"return_grid": OptionInfo(True, "Show grid in results for web"),
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"grid_format": OptionInfo('png', 'File format for grids'),
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"grid_extended_filename": OptionInfo(False, "Add extended info (seed, prompt) to filename when saving grid"),
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"grid_only_if_multiple": OptionInfo(True, "Do not save grids consisting of one picture"),
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"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}),
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options_templates.update(options_section(('system', "System"), {
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"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}),
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"samples_log_stdout": OptionInfo(False, "Always print all generation info to standard output"),
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"multiple_tqdm": OptionInfo(True, "Add a second progress bar to the console that shows progress for an entire job. Broken in PyCharm console."),
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}))
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options_templates.update(options_section((4, "Model Options"), {
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options_templates.update(options_section(('sd', "Stable Diffusion"), {
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"sd_model_checkpoint": OptionInfo(None, "Stable Diffusion checkpoint", gr.Radio, lambda: {"choices": [x.title for x in modules.sd_models.checkpoints_list.values()]}),
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"img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."),
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"img2img_fix_steps": OptionInfo(False, "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising)."),
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"enable_quantization": OptionInfo(False, "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply."),
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"font": OptionInfo("", "Font for image grids that have text"),
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"enable_emphasis": OptionInfo(True, "Use (text) to make model pay more attention to text and [text] to make it pay less attention"),
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"enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
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"filter_nsfw": OptionInfo(False, "Filter NSFW content"),
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"random_artist_categories": OptionInfo([], "Allowed categories for random artists selection when using the Roll button", gr.CheckboxGroup, {"choices": artist_db.categories()}),
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}))
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options_templates.update(options_section((5, "Interrogate Options"), {
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options_templates.update(options_section(('interrogate', "Interrogate Options"), {
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"interrogate_keep_models_in_memory": OptionInfo(False, "Interrogate: keep models in VRAM"),
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"interrogate_use_builtin_artists": OptionInfo(True, "Interrogate: use artists from artists.csv"),
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"interrogate_clip_num_beams": OptionInfo(1, "Interrogate: num_beams for BLIP", gr.Slider, {"minimum": 1, "maximum": 16, "step": 1}),
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@ -201,6 +205,16 @@ options_templates.update(options_section((5, "Interrogate Options"), {
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"interrogate_clip_dict_limit": OptionInfo(1500, "Interrogate: maximum number of lines in text file (0 = No limit)"),
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}))
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options_templates.update(options_section(('ui', "User interface"), {
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"show_progressbar": OptionInfo(True, "Show progressbar"),
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"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}),
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"return_grid": OptionInfo(True, "Show grid in results for web"),
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"add_model_hash_to_info": OptionInfo(True, "Add model hash to generation information"),
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"font": OptionInfo("", "Font for image grids that have text"),
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"js_modal_lightbox": OptionInfo(True, "Enable full page image viewer"),
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"js_modal_lightbox_initialy_zoomed": OptionInfo(True, "Show images zoomed in by default in full page image viewer"),
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}))
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class Options:
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data = None
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@ -9,7 +9,6 @@ import random
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import sys
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import time
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import traceback
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import itertools
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import numpy as np
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import torch
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@ -23,7 +22,6 @@ from modules.paths import script_path
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from modules.shared import opts, cmd_opts
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import modules.shared as shared
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from modules.sd_samplers import samplers, samplers_for_img2img
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import modules.realesrgan_model as realesrgan
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import modules.ldsr_model
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import modules.scripts
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import modules.gfpgan_model
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@ -815,9 +813,6 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
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return comp(label=info.label, value=fun, **(args or {}))
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components = []
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keys = list(opts.data_labels.keys())
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settings_cols = 3
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items_per_col = math.ceil(len(keys) / settings_cols)
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def run_settings(*args):
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up = []
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@ -843,28 +838,33 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
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settings_submit = gr.Button(value="Apply settings", variant='primary')
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result = gr.HTML()
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sortedKeys = sorted([(opts.data_labels[key].section,key) for key in keys],key=lambda x:x[0])
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groupedKeys = itertools.groupby(sortedKeys,key=lambda x:x[0])
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settings_cols = 3
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items_per_col = int(len(opts.data_labels) * 0.9 / settings_cols)
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for (sectionNumber,sectionName),sectionGroup in groupedKeys:
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with gr.Row(elem_id="settings_header_{}".format(sectionNumber)).style(equal_height=False):
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gr.HTML(elem_id="settings_header_text_{}".format(sectionNumber), value='<h1 class="gr-button-lg">{}</h1>'.format(sectionName))
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cols_displayed = 0
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items_displayed = 0
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previous_section = None
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column = None
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with gr.Row(elem_id="settings").style(equal_height=False):
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for i, (k, item) in enumerate(opts.data_labels.items()):
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with gr.Row(elem_id="settings_{}".format(sectionNumber)).style(equal_height=False):
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columnLookup = {}
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for colNum,element in zip(itertools.cycle(range(settings_cols)),sectionGroup):
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columnLookup.setdefault(colNum,[]).append(element)
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if previous_section != item.section:
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if cols_displayed < settings_cols and (items_displayed >= items_per_col or previous_section is None):
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if column is not None:
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column.__exit__()
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for colno,elements in sorted(columnLookup.items()):
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with gr.Column(variant='panel'):
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for _,keyElement in elements:
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components.append(create_setting_component(keyElement))
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column = gr.Column(variant='panel')
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column.__enter__()
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settings_submit.click(
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fn=run_settings,
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inputs=components,
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outputs=[result]
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)
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items_displayed = 0
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cols_displayed += 1
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previous_section = item.section
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gr.HTML(elem_id="settings_header_text_{}".format(item.section[0]), value='<h1 class="gr-button-lg">{}</h1>'.format(item.section[1]))
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components.append(create_setting_component(k))
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items_displayed += 1
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request_notifications = gr.Button(value='Request browser notifications', elem_id="request_notifications")
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request_notifications.click(
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@ -874,6 +874,15 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
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_js='function(){}'
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)
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if column is not None:
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column.__exit__()
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settings_submit.click(
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fn=run_settings,
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inputs=components,
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outputs=[result]
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)
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interfaces = [
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(txt2img_interface, "txt2img", "txt2img"),
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(img2img_interface, "img2img", "img2img"),
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