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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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resolved conflicts, moved settings under interrogate section, settings only show if deepbooru flag is enabled
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@ -8,7 +8,7 @@ def get_deepbooru_tags(pil_image):
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This method is for running only one image at a time for simple use. Used to the img2img interrogate.
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"""
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from modules import shared # prevents circular reference
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create_deepbooru_process(shared.opts.deepbooru_threshold, shared.opts.deepbooru_sort_alpha)
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create_deepbooru_process(shared.opts.interrogate_deepbooru_score_threshold, shared.opts.deepbooru_sort_alpha)
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shared.deepbooru_process_return["value"] = -1
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shared.deepbooru_process_queue.put(pil_image)
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while shared.deepbooru_process_return["value"] == -1:
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@ -248,15 +248,20 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
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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(('interrogate', "Interrogate Options"), {
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interrogate_option_dictionary = {
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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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"interrogate_clip_min_length": OptionInfo(24, "Interrogate: minimum description length (excluding artists, etc..)", gr.Slider, {"minimum": 1, "maximum": 128, "step": 1}),
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"interrogate_clip_max_length": OptionInfo(48, "Interrogate: maximum description length", gr.Slider, {"minimum": 1, "maximum": 256, "step": 1}),
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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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"interrogate_deepbooru_score_threshold": OptionInfo(0.5, "Interrogate: deepbooru score threshold", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),
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}))
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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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if cmd_opts.deepdanbooru:
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interrogate_option_dictionary["interrogate_deepbooru_score_threshold"] = OptionInfo(0.5, "Interrogate: deepbooru score threshold", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01})
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interrogate_option_dictionary["deepbooru_sort_alpha"] = OptionInfo(True, "Interrogate: deepbooru sort alphabetically", gr.Checkbox)
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options_templates.update(options_section(('interrogate', "Interrogate Options"), interrogate_option_dictionary))
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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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@ -282,12 +287,6 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
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'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
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}))
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if cmd_opts.deepdanbooru:
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options_templates.update(options_section(('deepbooru-params', "DeepBooru parameters"), {
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"deepbooru_sort_alpha": OptionInfo(True, "Sort Alphabetical", gr.Checkbox),
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'deepbooru_threshold': OptionInfo(0.5, "Threshold", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
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}))
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class Options:
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data = None
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@ -29,7 +29,7 @@ def preprocess(process_src, process_dst, process_width, process_height, process_
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shared.interrogator.load()
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if process_caption_deepbooru:
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deepbooru.create_deepbooru_process(opts.deepbooru_threshold, opts.deepbooru_sort_alpha)
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deepbooru.create_deepbooru_process(opts.interrogate_deepbooru_score_threshold, opts.deepbooru_sort_alpha)
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def save_pic_with_caption(image, index):
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if process_caption:
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@ -317,7 +317,7 @@ def interrogate(image):
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def interrogate_deepbooru(image):
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prompt = get_deepbooru_tags(image, opts.interrogate_deepbooru_score_threshold)
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prompt = get_deepbooru_tags(image)
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return gr_show(True) if prompt is None else prompt
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