| | 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" *, *")
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| |
|
| |
|
| | def build_tags(metadata):
|
| | tags = {}
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| |
|
| | ss_tag_frequency = metadata.get("ss_tag_frequency", {})
|
| | if ss_tag_frequency is not None and hasattr(ss_tag_frequency, 'items'):
|
| | for _, tags_dict in 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 = {}
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| |
|
| | 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
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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]
|
| |
|
| |
|
| | 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, negative_text, 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["negative text"] = negative_text
|
| | 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 {}
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| |
|
| | keys = {
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| | '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)),
|
| | user_metadata.get('negative text', ''),
|
| | 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:
|
| | for x in "({[]})":
|
| | tag = tag.replace(x, '\\' + x)
|
| | 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)
|
| | self.edit_negative_text = gr.Text(label='Negative prompt', info="Will be added to negative prompts")
|
| | 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,
|
| | self.edit_negative_text,
|
| | 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_negative_text,
|
| | self.edit_notes,
|
| | ]
|
| |
|
| |
|
| | self.setup_save_handler(self.button_save, self.save_lora_user_metadata, edited_components)
|
| |
|
