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import datetime |
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import html |
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import random |
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import gradio as gr |
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import re |
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from modules import ui_extra_networks_user_metadata |
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def is_non_comma_tagset(tags): |
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average_tag_length = sum(len(x) for x in tags.keys()) / len(tags) |
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return average_tag_length >= 16 |
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re_word = re.compile(r"[-_\w']+") |
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re_comma = re.compile(r" *, *") |
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def build_tags(metadata): |
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tags = {} |
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for _, tags_dict in metadata.get("ss_tag_frequency", {}).items(): |
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for tag, tag_count in tags_dict.items(): |
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tag = tag.strip() |
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tags[tag] = tags.get(tag, 0) + int(tag_count) |
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if tags and is_non_comma_tagset(tags): |
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new_tags = {} |
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for text, text_count in tags.items(): |
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for word in re.findall(re_word, text): |
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if len(word) < 3: |
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continue |
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new_tags[word] = new_tags.get(word, 0) + text_count |
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tags = new_tags |
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ordered_tags = sorted(tags.keys(), key=tags.get, reverse=True) |
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return [(tag, tags[tag]) for tag in ordered_tags] |
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class LoraUserMetadataEditor(ui_extra_networks_user_metadata.UserMetadataEditor): |
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def __init__(self, ui, tabname, page): |
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super().__init__(ui, tabname, page) |
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self.select_sd_version = None |
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self.taginfo = None |
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self.edit_activation_text = None |
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self.slider_preferred_weight = None |
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self.edit_notes = None |
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def save_lora_user_metadata(self, name, desc, sd_version, activation_text, preferred_weight, notes): |
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user_metadata = self.get_user_metadata(name) |
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user_metadata["description"] = desc |
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user_metadata["sd version"] = sd_version |
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user_metadata["activation text"] = activation_text |
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user_metadata["preferred weight"] = preferred_weight |
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user_metadata["notes"] = notes |
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self.write_user_metadata(name, user_metadata) |
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def get_metadata_table(self, name): |
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table = super().get_metadata_table(name) |
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item = self.page.items.get(name, {}) |
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metadata = item.get("metadata") or {} |
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keys = { |
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'ss_output_name': "Output name:", |
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'ss_sd_model_name': "Model:", |
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'ss_clip_skip': "Clip skip:", |
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'ss_network_module': "Kohya module:", |
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} |
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for key, label in keys.items(): |
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value = metadata.get(key, None) |
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if value is not None and str(value) != "None": |
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table.append((label, html.escape(value))) |
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ss_training_started_at = metadata.get('ss_training_started_at') |
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if ss_training_started_at: |
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table.append(("Date trained:", datetime.datetime.utcfromtimestamp(float(ss_training_started_at)).strftime('%Y-%m-%d %H:%M'))) |
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ss_bucket_info = metadata.get("ss_bucket_info") |
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if ss_bucket_info and "buckets" in ss_bucket_info: |
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resolutions = {} |
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for _, bucket in ss_bucket_info["buckets"].items(): |
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resolution = bucket["resolution"] |
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resolution = f'{resolution[1]}x{resolution[0]}' |
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resolutions[resolution] = resolutions.get(resolution, 0) + int(bucket["count"]) |
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resolutions_list = sorted(resolutions.keys(), key=resolutions.get, reverse=True) |
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resolutions_text = html.escape(", ".join(resolutions_list[0:4])) |
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if len(resolutions) > 4: |
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resolutions_text += ", ..." |
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resolutions_text = f"<span title='{html.escape(', '.join(resolutions_list))}'>{resolutions_text}</span>" |
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table.append(('Resolutions:' if len(resolutions_list) > 1 else 'Resolution:', resolutions_text)) |
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image_count = 0 |
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for _, params in metadata.get("ss_dataset_dirs", {}).items(): |
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image_count += int(params.get("img_count", 0)) |
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if image_count: |
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table.append(("Dataset size:", image_count)) |
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return table |
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def put_values_into_components(self, name): |
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user_metadata = self.get_user_metadata(name) |
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values = super().put_values_into_components(name) |
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item = self.page.items.get(name, {}) |
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metadata = item.get("metadata") or {} |
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tags = build_tags(metadata) |
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gradio_tags = [(tag, str(count)) for tag, count in tags[0:24]] |
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return [ |
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*values[0:5], |
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item.get("sd_version", "Unknown"), |
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gr.HighlightedText.update(value=gradio_tags, visible=True if tags else False), |
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user_metadata.get('activation text', ''), |
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float(user_metadata.get('preferred weight', 0.0)), |
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gr.update(visible=True if tags else False), |
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gr.update(value=self.generate_random_prompt_from_tags(tags), visible=True if tags else False), |
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] |
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def generate_random_prompt(self, name): |
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item = self.page.items.get(name, {}) |
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metadata = item.get("metadata") or {} |
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tags = build_tags(metadata) |
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return self.generate_random_prompt_from_tags(tags) |
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def generate_random_prompt_from_tags(self, tags): |
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max_count = None |
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res = [] |
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for tag, count in tags: |
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if not max_count: |
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max_count = count |
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v = random.random() * max_count |
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if count > v: |
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res.append(tag) |
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return ", ".join(sorted(res)) |
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def create_extra_default_items_in_left_column(self): |
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self.select_sd_version = gr.Dropdown(['SD1', 'SD2', 'SDXL', 'Unknown'], value='Unknown', label='Stable Diffusion version', interactive=True) |
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def create_editor(self): |
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self.create_default_editor_elems() |
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self.taginfo = gr.HighlightedText(label="Training dataset tags") |
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self.edit_activation_text = gr.Text(label='Activation text', info="Will be added to prompt along with Lora") |
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self.slider_preferred_weight = gr.Slider(label='Preferred weight', info="Set to 0 to disable", minimum=0.0, maximum=2.0, step=0.01) |
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with gr.Row() as row_random_prompt: |
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with gr.Column(scale=8): |
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random_prompt = gr.Textbox(label='Random prompt', lines=4, max_lines=4, interactive=False) |
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with gr.Column(scale=1, min_width=120): |
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generate_random_prompt = gr.Button('Generate', size="lg", scale=1) |
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self.edit_notes = gr.TextArea(label='Notes', lines=4) |
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generate_random_prompt.click(fn=self.generate_random_prompt, inputs=[self.edit_name_input], outputs=[random_prompt], show_progress=False) |
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def select_tag(activation_text, evt: gr.SelectData): |
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tag = evt.value[0] |
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words = re.split(re_comma, activation_text) |
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if tag in words: |
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words = [x for x in words if x != tag and x.strip()] |
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return ", ".join(words) |
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return activation_text + ", " + tag if activation_text else tag |
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self.taginfo.select(fn=select_tag, inputs=[self.edit_activation_text], outputs=[self.edit_activation_text], show_progress=False) |
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self.create_default_buttons() |
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viewed_components = [ |
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self.edit_name, |
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self.edit_description, |
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self.html_filedata, |
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self.html_preview, |
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self.edit_notes, |
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self.select_sd_version, |
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self.taginfo, |
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self.edit_activation_text, |
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self.slider_preferred_weight, |
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row_random_prompt, |
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random_prompt, |
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] |
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self.button_edit\ |
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.click(fn=self.put_values_into_components, inputs=[self.edit_name_input], outputs=viewed_components)\ |
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.then(fn=lambda: gr.update(visible=True), inputs=[], outputs=[self.box]) |
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edited_components = [ |
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self.edit_description, |
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self.select_sd_version, |
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self.edit_activation_text, |
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self.slider_preferred_weight, |
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self.edit_notes, |
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] |
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self.setup_save_handler(self.button_save, self.save_lora_user_metadata, edited_components) |
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