Spaces:
Runtime error
Runtime error
File size: 4,199 Bytes
c6919c4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 |
# 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
long_description: str
def merge_prompts(style_prompt: str, prompt: str) -> str:
if "{prompt}" in style_prompt:
res = style_prompt.replace("{prompt}", prompt)
else:
parts = filter(None, (prompt.strip(), style_prompt.strip()))
res = " ".join(parts)
return res
def apply_styles_to_prompt(prompt, styles):
for style in styles:
prompt = merge_prompts(style, prompt)
return prompt
class StyleDatabase:
def __init__(self, path: str, user_path: str):
self.no_style = PromptStyle("None", "", "", "")
self.styles = {}
self.path = path
self.user_path = user_path
# print(path)
self.reload()
def reload(self):
self.styles.clear()
if not os.path.exists(self.path):
print(f"Can't find styles at {self.path}")
else:
with open(self.path, "r", encoding="utf-8-sig", newline="") as file:
reader = csv.DictReader(file)
for row in reader:
# print(f"row: {row}")
# 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", "")
long_description = row.get("long_description", "")
self.styles[row["name"]] = PromptStyle(
row["name"], prompt, negative_prompt, long_description
)
if not os.path.exists(self.user_path):
print(f"Can't find user styles at {self.user_path}")
else:
with open(self.user_path, "r", encoding="utf-8-sig", newline="") as file:
reader = csv.DictReader(file)
for row in reader:
# print(f"row: {row}")
# 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", "")
long_description = row.get("long_description", "")
self.styles[row["name"]] = PromptStyle(
row["name"], prompt, negative_prompt, long_description
)
def get_style_prompts(self, styles):
return [self.styles.get(x, self.no_style).prompt for x in styles]
def get_negative_style_prompts(self, styles):
return [self.styles.get(x, self.no_style).negative_prompt for x in styles]
def apply_styles_to_prompt(self, prompt, styles):
return apply_styles_to_prompt(
prompt, [self.styles.get(x, self.no_style).prompt for x in styles]
)
def apply_negative_styles_to_prompt(self, prompt, styles):
return apply_styles_to_prompt(
prompt, [self.styles.get(x, self.no_style).negative_prompt for x in styles]
)
def save_styles(self, path: str) -> None:
# Always keep a backup file around
if os.path.exists(path):
shutil.copy(path, path + ".bak")
fd = os.open(path, os.O_RDWR | os.O_CREAT)
with os.fdopen(fd, "w", encoding="utf-8-sig", 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 k, style in self.styles.items())
|