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# We need this so Python doesn't complain about the unknown StableDiffusionProcessing-typehint at runtime
from __future__ import annotations
import csv
import os
import os.path
import typing
import collections.abc as abc
import tempfile
import shutil
if typing.TYPE_CHECKING:
# Only import this when code is being type-checked, it doesn't have any effect at runtime
from .processing import StableDiffusionProcessing
class PromptStyle(typing.NamedTuple):
name: str
prompt: str
negative_prompt: str
def load_styles(path: str) -> dict[str, PromptStyle]:
styles = {"None": PromptStyle("None", "", "")}
if os.path.exists(path):
with open(path, "r", encoding="utf8", newline='') as file:
reader = csv.DictReader(file)
for row in reader:
# Support loading old CSV format with "name, text"-columns
prompt = row["prompt"] if "prompt" in row else row["text"]
negative_prompt = row.get("negative_prompt", "")
styles[row["name"]] = PromptStyle(row["name"], prompt, negative_prompt)
return styles
def merge_prompts(style_prompt: str, prompt: str) -> str:
parts = filter(None, (prompt.strip(), style_prompt.strip()))
return ", ".join(parts)
def apply_style(processing: StableDiffusionProcessing, style: PromptStyle) -> None:
if isinstance(processing.prompt, list):
processing.prompt = [merge_prompts(style.prompt, p) for p in processing.prompt]
else:
processing.prompt = merge_prompts(style.prompt, processing.prompt)
if isinstance(processing.negative_prompt, list):
processing.negative_prompt = [merge_prompts(style.negative_prompt, p) for p in processing.negative_prompt]
else:
processing.negative_prompt = merge_prompts(style.negative_prompt, processing.negative_prompt)
def save_styles(path: str, styles: abc.Iterable[PromptStyle]) -> None:
# Write to temporary file first, so we don't nuke the file if something goes wrong
fd, temp_path = tempfile.mkstemp(".csv")
with os.fdopen(fd, "w", encoding="utf8", newline='') as file:
# _fields is actually part of the public API: typing.NamedTuple is a replacement for collections.NamedTuple,
# and collections.NamedTuple has explicit documentation for accessing _fields. Same goes for _asdict()
writer = csv.DictWriter(file, fieldnames=PromptStyle._fields)
writer.writeheader()
writer.writerows(style._asdict() for style in styles)
# Always keep a backup file around
if os.path.exists(path):
shutil.move(path, path + ".bak")
shutil.move(temp_path, path)
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