Stable Diffusion web-ui styles from Fooocus

html2csv.py

from bs4 import BeautifulSoup
import csv

# Open and read the HTML file
with open("Style reference.html", 'r', encoding='utf-8') as file:
    content = file.read()

# Parse the HTML content using BeautifulSoup
soup = BeautifulSoup(content, 'html.parser')

# Extracting a few rows with all their columns to analyze the structure
sample_rows_data = []
for table in soup.find_all("table"):
    for i, row in enumerate(table.find_all("tr")[1:]):  # skip the header
        if i < 5:  # limiting to first 5 rows
            columns = row.find_all("td")
            row_data = [col.get_text(strip=True) for col in columns]
            sample_rows_data.append(row_data)

# Identifying the correct columns based on the extracted sample rows
style_name_index = None
prompt_index = None
negative_prompt_index = None

for row_data in sample_rows_data:
    if 'Style Name' in row_data:
        style_name_index = row_data.index('Style Name')
    if 'Prompt' in row_data:
        prompt_index = row_data.index('Prompt') + 1
    if 'Negative Prompt' in row_data:
        negative_prompt_index = row_data.index('Negative Prompt') + 1
    if style_name_index is not None and prompt_index is not None and negative_prompt_index is not None:
        break

# Extracting data based on the identified column indices
final_data = []
for table in soup.find_all("table"):
    for row in table.find_all("tr")[1:]:  # skip the header and rows with labels
        columns = row.find_all("td")
        if len(columns) > max(style_name_index, prompt_index, negative_prompt_index):
            style_name = columns[style_name_index].get_text(strip=True)
            prompt = columns[prompt_index].get_text(strip=True)
            negative_prompt = columns[negative_prompt_index].get_text(strip=True)
            final_data.append([style_name, prompt, negative_prompt])

# Write the extracted data to a final CSV file
final_adjusted_csv_filename = "styles.csv"
with open(final_adjusted_csv_filename, 'w', newline='', encoding='utf-8') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerow(["name", "prompt", "negative_prompt"])  # Header
    writer.writerows(final_data)

styles.csv

put the styles.csv under stable diffusion web ui dir.
if already you have styles, copy the data to styles.csv already exists.

arigatou gozaimasu