217 lines
7.9 KiB
Python
217 lines
7.9 KiB
Python
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_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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# this would be a lot better as gr.Radio but I can't make it work
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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').style(full_width=True, size="lg")
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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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