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import datetime
import html
import re
import gradio as gr
from modules.ui_extra_networks_user_metadata import UserMetadataEditor
re_word = re.compile(r"[-_\w']+")
re_comma = re.compile(r" *, *")
def is_non_comma_tagset(tags):
average_tag_length = sum(len(x) for x in tags.keys()) / len(tags)
return average_tag_length >= 16
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(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: str,
desc: str,
sd_version: str,
activation_text: str,
preferred_weight: float,
negative_text: str,
notes: str,
):
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 {}
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.fromtimestamp(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],
gr.update(value=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", ""),
]
def create_extra_default_items_in_left_column(self):
self.select_sd_version = gr.Dropdown(
choices=("SD1", "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.Textbox(label="Positive Prompt", info="Will be added to the prompt after the LoRA syntax", lines=2)
self.edit_negative_text = gr.Textbox(label="Negative Prompt", info="Will be added to the negative prompt", lines=2)
self.slider_preferred_weight = gr.Slider(
label="Preferred weight",
info="Set to 0 to use the default set in Settings",
minimum=0.0,
maximum=2.0,
step=0.1,
)
self.edit_notes = gr.TextArea(label="Notes", lines=4)
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,
]
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)