Spaces:
Paused
Paused
File size: 17,084 Bytes
3f9c56c |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 |
import re
import numpy as np
from modules import scripts, shared
try:
from scripts.global_state import update_cn_models, cn_models_names, cn_preprocessor_modules
from scripts.external_code import ResizeMode, ControlMode
except (ImportError, NameError):
import_error = True
else:
import_error = False
DEBUG_MODE = False
def debug_info(func):
def debug_info_(*args, **kwargs):
if DEBUG_MODE:
print(f"Debug info: {func.__name__}, {args}")
return func(*args, **kwargs)
return debug_info_
def find_dict(dict_list, keyword, search_key="name", stop=False):
result = next((d for d in dict_list if d[search_key] == keyword), None)
if result or not stop:
return result
else:
raise ValueError(f"Dictionary with value '{keyword}' in key '{search_key}' not found.")
def flatten(lst):
result = []
for element in lst:
if isinstance(element, list):
result.extend(flatten(element))
else:
result.append(element)
return result
def is_all_included(target_list, check_list, allow_blank=False, stop=False):
for element in flatten(target_list):
if allow_blank and str(element) in ["None", ""]:
continue
elif element not in check_list:
if not stop:
return False
else:
raise ValueError(f"'{element}' is not included in check list.")
return True
class ListParser():
"""This class restores a broken list caused by the following process
in the xyz_grid module.
-> valslist = [x.strip() for x in chain.from_iterable(
csv.reader(StringIO(vals)))]
It also performs type conversion,
adjusts the number of elements in the list, and other operations.
This class directly modifies the received list.
"""
numeric_pattern = {
int: {
"range": r"\s*([+-]?\s*\d+)\s*-\s*([+-]?\s*\d+)(?:\s*\(([+-]\d+)\s*\))?\s*",
"count": r"\s*([+-]?\s*\d+)\s*-\s*([+-]?\s*\d+)(?:\s*\[(\d+)\s*\])?\s*"
},
float: {
"range": r"\s*([+-]?\s*\d+(?:\.\d*)?)\s*-\s*([+-]?\s*\d+(?:\.\d*)?)(?:\s*\(([+-]\d+(?:\.\d*)?)\s*\))?\s*",
"count": r"\s*([+-]?\s*\d+(?:\.\d*)?)\s*-\s*([+-]?\s*\d+(?:\.\d*)?)(?:\s*\[(\d+(?:\.\d*)?)\s*\])?\s*"
}
}
################################################
#
# Initialization method from here.
#
################################################
def __init__(self, my_list, converter=None, allow_blank=True, exclude_list=None, run=True):
self.my_list = my_list
self.converter = converter
self.allow_blank = allow_blank
self.exclude_list = exclude_list
self.re_bracket_start = None
self.re_bracket_start_precheck = None
self.re_bracket_end = None
self.re_bracket_end_precheck = None
self.re_range = None
self.re_count = None
self.compile_regex()
if run:
self.auto_normalize()
def compile_regex(self):
exclude_pattern = "|".join(self.exclude_list) if self.exclude_list else None
if exclude_pattern is None:
self.re_bracket_start = re.compile(r"^\[")
self.re_bracket_end = re.compile(r"\]$")
else:
self.re_bracket_start = re.compile(fr"^\[(?!(?:{exclude_pattern})\])")
self.re_bracket_end = re.compile(fr"(?<!\[(?:{exclude_pattern}))\]$")
if self.converter not in self.numeric_pattern:
return self
# If the converter is either int or float.
self.re_range = re.compile(self.numeric_pattern[self.converter]["range"])
self.re_count = re.compile(self.numeric_pattern[self.converter]["count"])
self.re_bracket_start_precheck = None
self.re_bracket_end_precheck = self.re_count
return self
################################################
#
# Public method from here.
#
################################################
################################################
# This method is executed at the time of initialization.
#
def auto_normalize(self):
if not self.has_list_notation():
self.numeric_range_parser()
self.type_convert()
return self
else:
self.fix_structure()
self.numeric_range_parser()
self.type_convert()
self.fill_to_longest()
return self
def has_list_notation(self):
return any(self._search_bracket(s) for s in self.my_list)
def numeric_range_parser(self, my_list=None, depth=0):
if self.converter not in self.numeric_pattern:
return self
my_list = self.my_list if my_list is None else my_list
result = []
is_matched = False
for s in my_list:
if isinstance(s, list):
result.extend(self.numeric_range_parser(s, depth+1))
continue
match = self._numeric_range_to_list(s)
if s != match:
is_matched = True
result.extend(match if not depth else [match])
continue
else:
result.append(s)
continue
if depth:
return self._transpose(result) if is_matched else [result]
else:
my_list[:] = result
return self
def type_convert(self, my_list=None):
my_list = self.my_list if my_list is None else my_list
for i, s in enumerate(my_list):
if isinstance(s, list):
self.type_convert(s)
elif self.allow_blank and (str(s) in ["None", ""]):
my_list[i] = None
elif self.converter:
my_list[i] = self.converter(s)
else:
my_list[i] = s
return self
def fix_structure(self):
def is_same_length(list1, list2):
return len(list1) == len(list2)
start_indices, end_indices = [], []
for i, s in enumerate(self.my_list):
if is_same_length(start_indices, end_indices):
replace_string = self._search_bracket(s, "[", replace="")
if s != replace_string:
s = replace_string
start_indices.append(i)
if not is_same_length(start_indices, end_indices):
replace_string = self._search_bracket(s, "]", replace="")
if s != replace_string:
s = replace_string
end_indices.append(i + 1)
self.my_list[i] = s
if not is_same_length(start_indices, end_indices):
raise ValueError(f"Lengths of {start_indices} and {end_indices} are different.")
# Restore the structure of a list.
for i, j in zip(reversed(start_indices), reversed(end_indices)):
self.my_list[i:j] = [self.my_list[i:j]]
return self
def fill_to_longest(self, my_list=None, value=None, index=None):
my_list = self.my_list if my_list is None else my_list
if not self.sublist_exists(my_list):
return self
max_length = max(len(sub_list) for sub_list in my_list if isinstance(sub_list, list))
for i, sub_list in enumerate(my_list):
if isinstance(sub_list, list):
fill_value = value if index is None else sub_list[index]
my_list[i] = sub_list + [fill_value] * (max_length-len(sub_list))
return self
def sublist_exists(self, my_list=None):
my_list = self.my_list if my_list is None else my_list
return any(isinstance(item, list) for item in my_list)
def all_sublists(self, my_list=None): # Unused method
my_list = self.my_list if my_list is None else my_list
return all(isinstance(item, list) for item in my_list)
def get_list(self): # Unused method
return self.my_list
################################################
#
# Private method from here.
#
################################################
def _search_bracket(self, string, bracket="[", replace=None):
if bracket == "[":
pattern = self.re_bracket_start
precheck = self.re_bracket_start_precheck # None
elif bracket == "]":
pattern = self.re_bracket_end
precheck = self.re_bracket_end_precheck
else:
raise ValueError(f"Invalid argument provided. (bracket: {bracket})")
if precheck and precheck.fullmatch(string):
return None if replace is None else string
elif replace is None:
return pattern.search(string)
else:
return pattern.sub(replace, string)
def _numeric_range_to_list(self, string):
match = self.re_range.fullmatch(string)
if match is not None:
if self.converter == int:
start = int(match.group(1))
end = int(match.group(2)) + 1
step = int(match.group(3)) if match.group(3) is not None else 1
return list(range(start, end, step))
else: # float
start = float(match.group(1))
end = float(match.group(2))
step = float(match.group(3)) if match.group(3) is not None else 1
return np.arange(start, end + step, step).tolist()
match = self.re_count.fullmatch(string)
if match is not None:
if self.converter == int:
start = int(match.group(1))
end = int(match.group(2))
num = int(match.group(3)) if match.group(3) is not None else 1
return [int(x) for x in np.linspace(start=start, stop=end, num=num).tolist()]
else: # float
start = float(match.group(1))
end = float(match.group(2))
num = int(match.group(3)) if match.group(3) is not None else 1
return np.linspace(start=start, stop=end, num=num).tolist()
return string
def _transpose(self, my_list=None):
my_list = self.my_list if my_list is None else my_list
my_list = [item if isinstance(item, list) else [item] for item in my_list]
self.fill_to_longest(my_list, index=-1)
return np.array(my_list, dtype=object).T.tolist()
################################################
#
# The methods of ListParser class end here.
#
################################################
################################################################
################################################################
#
# Starting the main process of this module.
#
# functions are executed in this order:
# find_module
# add_axis_options
# identity
# enable_script_control
# apply_field
# confirm
# bool_
# choices_for
# make_excluded_list
# config lists for AxisOptions:
# validation_data
# extra_axis_options
################################################################
################################################################
def find_module(module_names):
if isinstance(module_names, str):
module_names = [s.strip() for s in module_names.split(",")]
for data in scripts.scripts_data:
if data.script_class.__module__ in module_names and hasattr(data, "module"):
return data.module
return None
def add_axis_options(xyz_grid):
################################################
#
# Define a function to pass to the AxisOption class from here.
#
################################################
################################################
# Set this function as the type attribute of the AxisOption class.
# To skip the following processing of xyz_grid module.
# -> valslist = [opt.type(x) for x in valslist]
# Perform type conversion using the function
# set to the confirm attribute instead.
#
def identity(x):
return x
def enable_script_control():
shared.opts.data["control_net_allow_script_control"] = True
def apply_field(field):
@debug_info
def apply_field_(p, x, xs):
enable_script_control()
setattr(p, field, x)
return apply_field_
################################################
# The confirm function defined in this module
# enables list notation and performs type conversion.
#
# Example:
# any = [any, any, any, ...]
# [any] = [any, None, None, ...]
# [None, None, any] = [None, None, any]
# [,,any] = [None, None, any]
# any, [,any,] = [any, any, any, ...], [None, any, None]
#
# Enabled Only:
# any = [any] = [any, None, None, ...]
# (any and [any] are considered equivalent)
#
def confirm(func_or_str):
@debug_info
def confirm_(p, xs):
if callable(func_or_str): # func_or_str is converter
ListParser(xs, func_or_str, allow_blank=True)
return
elif isinstance(func_or_str, str): # func_or_str is keyword
valid_data = find_dict(validation_data, func_or_str, stop=True)
converter = valid_data["type"]
exclude_list = valid_data["exclude"]() if valid_data["exclude"] else None
check_list = valid_data["check"]()
ListParser(xs, converter, allow_blank=True, exclude_list=exclude_list)
is_all_included(xs, check_list, allow_blank=True, stop=True)
return
else:
raise TypeError(f"Argument must be callable or str, not {type(func_or_str).__name__}.")
return confirm_
def bool_(string):
string = str(string)
if string in ["None", ""]:
return None
elif string.lower() in ["true", "1"]:
return True
elif string.lower() in ["false", "0"]:
return False
else:
raise ValueError(f"Could not convert string to boolean: {string}")
def choices_bool():
return ["False", "True"]
def choices_model():
update_cn_models()
return list(cn_models_names.values())
def choices_control_mode():
return [e.value for e in ControlMode]
def choices_resize_mode():
return [e.value for e in ResizeMode]
def choices_preprocessor():
return list(cn_preprocessor_modules)
def make_excluded_list():
pattern = re.compile(r"\[(\w+)\]")
return [match.group(1) for s in choices_model()
for match in pattern.finditer(s)]
validation_data = [
{"name": "model", "type": str, "check": choices_model, "exclude": make_excluded_list},
{"name": "control_mode", "type": str, "check": choices_control_mode, "exclude": None},
{"name": "resize_mode", "type": str, "check": choices_resize_mode, "exclude": None},
{"name": "preprocessor", "type": str, "check": choices_preprocessor, "exclude": None},
]
extra_axis_options = [
xyz_grid.AxisOption("[ControlNet] Enabled", identity, apply_field("control_net_enabled"), confirm=confirm(bool_), choices=choices_bool),
xyz_grid.AxisOption("[ControlNet] Model", identity, apply_field("control_net_model"), confirm=confirm("model"), choices=choices_model, cost=0.9),
xyz_grid.AxisOption("[ControlNet] Weight", identity, apply_field("control_net_weight"), confirm=confirm(float)),
xyz_grid.AxisOption("[ControlNet] Guidance Start", identity, apply_field("control_net_guidance_start"), confirm=confirm(float)),
xyz_grid.AxisOption("[ControlNet] Guidance End", identity, apply_field("control_net_guidance_end"), confirm=confirm(float)),
xyz_grid.AxisOption("[ControlNet] Control Mode", identity, apply_field("control_net_control_mode"), confirm=confirm("control_mode"), choices=choices_control_mode),
xyz_grid.AxisOption("[ControlNet] Resize Mode", identity, apply_field("control_net_resize_mode"), confirm=confirm("resize_mode"), choices=choices_resize_mode),
xyz_grid.AxisOption("[ControlNet] Preprocessor", identity, apply_field("control_net_module"), confirm=confirm("preprocessor"), choices=choices_preprocessor),
xyz_grid.AxisOption("[ControlNet] Pre Resolution", identity, apply_field("control_net_pres"), confirm=confirm(int)),
xyz_grid.AxisOption("[ControlNet] Pre Threshold A", identity, apply_field("control_net_pthr_a"), confirm=confirm(float)),
xyz_grid.AxisOption("[ControlNet] Pre Threshold B", identity, apply_field("control_net_pthr_b"), confirm=confirm(float)),
]
xyz_grid.axis_options.extend(extra_axis_options)
def run():
xyz_grid = find_module("xyz_grid.py, xy_grid.py")
if xyz_grid:
add_axis_options(xyz_grid)
if not import_error:
run()
|