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-rw-r--r--modules/styles.py82
1 files changed, 53 insertions, 29 deletions
diff --git a/modules/styles.py b/modules/styles.py
index 85b78fad..bc7f070f 100644
--- a/modules/styles.py
+++ b/modules/styles.py
@@ -1,44 +1,68 @@
+# 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
-from collections import namedtuple
+import typing
+import collections.abc as abc
+import tempfile
+import shutil
-PromptStyle = namedtuple("PromptStyle", ["name", "text"])
+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
-def load_styles(filename):
- res = {"None": PromptStyle("None", "")}
+class PromptStyle(typing.NamedTuple):
+ name: str
+ prompt: str
+ negative_prompt: str
- if os.path.exists(filename):
- with open(filename, "r", encoding="utf8", newline='') as file:
- reader = csv.DictReader(file)
- for row in reader:
- res[row["name"]] = PromptStyle(row["name"], row["text"])
+def load_styles(path: str) -> dict[str, PromptStyle]:
+ styles = {"None": PromptStyle("None", "", "")}
- return res
+ 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 apply_style_text(style_text, prompt):
- if style_text == "":
- return prompt
- return prompt + ", " + style_text if prompt else style_text
+def merge_prompts(style_prompt: str, prompt: str) -> str:
+ parts = filter(None, (prompt.strip(), style_prompt.strip()))
+ return ", ".join(parts)
-def apply_style(p, style):
- if type(p.prompt) == list:
- p.prompt = [apply_style_text(style.text, x) for x in p.prompt]
+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:
- p.prompt = apply_style_text(style.text, p.prompt)
+ processing.prompt = merge_prompts(style.prompt, processing.prompt)
-
-def save_style(filename, style):
- with open(filename, "a", encoding="utf8", newline='') as file:
- atstart = file.tell() == 0
-
- writer = csv.DictWriter(file, fieldnames=["name", "text"])
-
- if atstart:
- writer.writeheader()
-
- writer.writerow({"name": style.name, "text": style.text})
+ 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)