mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-06-07 21:20:49 +00:00
242 lines
9.1 KiB
Python
242 lines
9.1 KiB
Python
import csv
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import fnmatch
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import os
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import os.path
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import typing
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import shutil
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class PromptStyle(typing.NamedTuple):
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name: str
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prompt: str
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negative_prompt: str
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path: str = None
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def merge_prompts(style_prompt: str, prompt: str) -> str:
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if "{prompt}" in style_prompt:
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res = style_prompt.replace("{prompt}", prompt)
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else:
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parts = filter(None, (prompt.strip(), style_prompt.strip()))
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res = ", ".join(parts)
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return res
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def apply_styles_to_prompt(prompt, styles):
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for style in styles:
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prompt = merge_prompts(style, prompt)
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return prompt
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def unwrap_style_text_from_prompt(style_text, prompt):
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"""
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Checks the prompt to see if the style text is wrapped around it. If so,
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returns True plus the prompt text without the style text. Otherwise, returns
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False with the original prompt.
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Note that the "cleaned" version of the style text is only used for matching
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purposes here. It isn't returned; the original style text is not modified.
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"""
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stripped_prompt = prompt
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stripped_style_text = style_text
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if "{prompt}" in stripped_style_text:
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# Work out whether the prompt is wrapped in the style text. If so, we
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# return True and the "inner" prompt text that isn't part of the style.
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try:
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left, right = stripped_style_text.split("{prompt}", 2)
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except ValueError as e:
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# If the style text has multple "{prompt}"s, we can't split it into
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# two parts. This is an error, but we can't do anything about it.
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print(f"Unable to compare style text to prompt:\n{style_text}")
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print(f"Error: {e}")
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return False, prompt
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if stripped_prompt.startswith(left) and stripped_prompt.endswith(right):
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prompt = stripped_prompt[len(left) : len(stripped_prompt) - len(right)]
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return True, prompt
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else:
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# Work out whether the given prompt ends with the style text. If so, we
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# return True and the prompt text up to where the style text starts.
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if stripped_prompt.endswith(stripped_style_text):
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prompt = stripped_prompt[: len(stripped_prompt) - len(stripped_style_text)]
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if prompt.endswith(", "):
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prompt = prompt[:-2]
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return True, prompt
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return False, prompt
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def extract_original_prompts(style: PromptStyle, prompt, negative_prompt):
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"""
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Takes a style and compares it to the prompt and negative prompt. If the style
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matches, returns True plus the prompt and negative prompt with the style text
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removed. Otherwise, returns False with the original prompt and negative prompt.
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"""
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if not style.prompt and not style.negative_prompt:
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return False, prompt, negative_prompt
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match_positive, extracted_positive = unwrap_style_text_from_prompt(
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style.prompt, prompt
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)
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if not match_positive:
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return False, prompt, negative_prompt
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match_negative, extracted_negative = unwrap_style_text_from_prompt(
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style.negative_prompt, negative_prompt
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)
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if not match_negative:
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return False, prompt, negative_prompt
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return True, extracted_positive, extracted_negative
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class StyleDatabase:
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def __init__(self, path: str):
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self.no_style = PromptStyle("None", "", "", None)
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self.styles = {}
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self.path = path
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folder, file = os.path.split(self.path)
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filename, _, ext = file.partition('*')
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self.default_path = os.path.join(folder, filename + ext)
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self.prompt_fields = [field for field in PromptStyle._fields if field != "path"]
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self.reload()
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def reload(self):
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"""
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Clears the style database and reloads the styles from the CSV file(s)
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matching the path used to initialize the database.
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"""
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self.styles.clear()
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path, filename = os.path.split(self.path)
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if "*" in filename:
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fileglob = filename.split("*")[0] + "*.csv"
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filelist = []
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for file in os.listdir(path):
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if fnmatch.fnmatch(file, fileglob):
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filelist.append(file)
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# Add a visible divider to the style list
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half_len = round(len(file) / 2)
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divider = f"{'-' * (20 - half_len)} {file.upper()}"
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divider = f"{divider} {'-' * (40 - len(divider))}"
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self.styles[divider] = PromptStyle(
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f"{divider}", None, None, "do_not_save"
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)
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# Add styles from this CSV file
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self.load_from_csv(os.path.join(path, file))
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if len(filelist) == 0:
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print(f"No styles found in {path} matching {fileglob}")
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return
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elif not os.path.exists(self.path):
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print(f"Style database not found: {self.path}")
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return
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else:
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self.load_from_csv(self.path)
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def load_from_csv(self, path: str):
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with open(path, "r", encoding="utf-8-sig", newline="") as file:
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reader = csv.DictReader(file, skipinitialspace=True)
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for row in reader:
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# Ignore empty rows or rows starting with a comment
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if not row or row["name"].startswith("#"):
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continue
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# Support loading old CSV format with "name, text"-columns
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prompt = row["prompt"] if "prompt" in row else row["text"]
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negative_prompt = row.get("negative_prompt", "")
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# Add style to database
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self.styles[row["name"]] = PromptStyle(
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row["name"], prompt, negative_prompt, path
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)
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def get_style_paths(self) -> set:
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"""Returns a set of all distinct paths of files that styles are loaded from."""
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# Update any styles without a path to the default path
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for style in list(self.styles.values()):
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if not style.path:
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self.styles[style.name] = style._replace(path=self.default_path)
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# Create a list of all distinct paths, including the default path
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style_paths = set()
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style_paths.add(self.default_path)
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for _, style in self.styles.items():
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if style.path:
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style_paths.add(style.path)
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# Remove any paths for styles that are just list dividers
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style_paths.discard("do_not_save")
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return style_paths
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def get_style_prompts(self, styles):
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return [self.styles.get(x, self.no_style).prompt for x in styles]
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def get_negative_style_prompts(self, styles):
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return [self.styles.get(x, self.no_style).negative_prompt for x in styles]
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def apply_styles_to_prompt(self, prompt, styles):
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return apply_styles_to_prompt(
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prompt, [self.styles.get(x, self.no_style).prompt for x in styles]
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)
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def apply_negative_styles_to_prompt(self, prompt, styles):
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return apply_styles_to_prompt(
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prompt, [self.styles.get(x, self.no_style).negative_prompt for x in styles]
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)
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def save_styles(self, path: str = None) -> None:
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# The path argument is deprecated, but kept for backwards compatibility
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_ = path
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style_paths = self.get_style_paths()
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csv_names = [os.path.split(path)[1].lower() for path in style_paths]
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for style_path in style_paths:
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# Always keep a backup file around
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if os.path.exists(style_path):
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shutil.copy(style_path, f"{style_path}.bak")
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# Write the styles to the CSV file
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with open(style_path, "w", encoding="utf-8-sig", newline="") as file:
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writer = csv.DictWriter(file, fieldnames=self.prompt_fields)
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writer.writeheader()
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for style in (s for s in self.styles.values() if s.path == style_path):
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# Skip style list dividers, e.g. "STYLES.CSV"
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if style.name.lower().strip("# ") in csv_names:
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continue
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# Write style fields, ignoring the path field
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writer.writerow(
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{k: v for k, v in style._asdict().items() if k != "path"}
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)
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def extract_styles_from_prompt(self, prompt, negative_prompt):
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extracted = []
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applicable_styles = list(self.styles.values())
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while True:
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found_style = None
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for style in applicable_styles:
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is_match, new_prompt, new_neg_prompt = extract_original_prompts(
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style, prompt, negative_prompt
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)
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if is_match:
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found_style = style
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prompt = new_prompt
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negative_prompt = new_neg_prompt
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break
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if not found_style:
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break
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applicable_styles.remove(found_style)
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extracted.append(found_style.name)
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return list(reversed(extracted)), prompt, negative_prompt
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