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