305 lines
11 KiB
Python
305 lines
11 KiB
Python
import re
|
|
import random
|
|
import os
|
|
import folder_paths
|
|
import yaml
|
|
import json
|
|
from .log import log_node_info
|
|
|
|
easy_wildcard_dict = {}
|
|
|
|
def get_wildcard_list():
|
|
return [f"__{x}__" for x in easy_wildcard_dict.keys()]
|
|
|
|
def wildcard_normalize(x):
|
|
return x.replace("\\", "/").lower()
|
|
|
|
def read_wildcard(k, v):
|
|
if isinstance(v, list):
|
|
k = wildcard_normalize(k)
|
|
easy_wildcard_dict[k] = v
|
|
elif isinstance(v, dict):
|
|
for k2, v2 in v.items():
|
|
new_key = f"{k}/{k2}"
|
|
new_key = wildcard_normalize(new_key)
|
|
read_wildcard(new_key, v2)
|
|
|
|
def read_wildcard_dict(wildcard_path):
|
|
global easy_wildcard_dict
|
|
for root, directories, files in os.walk(wildcard_path, followlinks=True):
|
|
for file in files:
|
|
if file.endswith('.txt'):
|
|
file_path = os.path.join(root, file)
|
|
rel_path = os.path.relpath(file_path, wildcard_path)
|
|
key = os.path.splitext(rel_path)[0].replace('\\', '/').lower()
|
|
|
|
try:
|
|
with open(file_path, 'r', encoding="ISO-8859-1") as f:
|
|
lines = f.read().splitlines()
|
|
easy_wildcard_dict[key] = lines
|
|
except UnicodeDecodeError:
|
|
with open(file_path, 'r', encoding="UTF-8", errors="ignore") as f:
|
|
lines = f.read().splitlines()
|
|
easy_wildcard_dict[key] = lines
|
|
elif file.endswith('.yaml'):
|
|
file_path = os.path.join(root, file)
|
|
with open(file_path, 'r') as f:
|
|
yaml_data = yaml.load(f, Loader=yaml.FullLoader)
|
|
|
|
for k, v in yaml_data.items():
|
|
read_wildcard(k, v)
|
|
elif file.endswith('.json'):
|
|
file_path = os.path.join(root, file)
|
|
try:
|
|
with open(file_path, 'r') as f:
|
|
json_data = json.load(f)
|
|
for key, value in json_data.items():
|
|
key = wildcard_normalize(key)
|
|
easy_wildcard_dict[key] = value
|
|
except ValueError:
|
|
print('json files load error')
|
|
return easy_wildcard_dict
|
|
|
|
|
|
def process(text, seed=None):
|
|
|
|
if seed is not None:
|
|
random.seed(seed)
|
|
|
|
def replace_options(string):
|
|
replacements_found = False
|
|
|
|
def replace_option(match):
|
|
nonlocal replacements_found
|
|
options = match.group(1).split('|')
|
|
|
|
multi_select_pattern = options[0].split('$$')
|
|
select_range = None
|
|
select_sep = ' '
|
|
range_pattern = r'(\d+)(-(\d+))?'
|
|
range_pattern2 = r'-(\d+)'
|
|
|
|
if len(multi_select_pattern) > 1:
|
|
r = re.match(range_pattern, options[0])
|
|
|
|
if r is None:
|
|
r = re.match(range_pattern2, options[0])
|
|
a = '1'
|
|
b = r.group(1).strip()
|
|
else:
|
|
a = r.group(1).strip()
|
|
b = r.group(3).strip()
|
|
|
|
if r is not None:
|
|
if b is not None and is_numeric_string(a) and is_numeric_string(b):
|
|
# PATTERN: num1-num2
|
|
select_range = int(a), int(b)
|
|
elif is_numeric_string(a):
|
|
# PATTERN: num
|
|
x = int(a)
|
|
select_range = (x, x)
|
|
|
|
if select_range is not None and len(multi_select_pattern) == 2:
|
|
# PATTERN: count$$
|
|
options[0] = multi_select_pattern[1]
|
|
elif select_range is not None and len(multi_select_pattern) == 3:
|
|
# PATTERN: count$$ sep $$
|
|
select_sep = multi_select_pattern[1]
|
|
options[0] = multi_select_pattern[2]
|
|
|
|
adjusted_probabilities = []
|
|
|
|
total_prob = 0
|
|
|
|
for option in options:
|
|
parts = option.split('::', 1)
|
|
if len(parts) == 2 and is_numeric_string(parts[0].strip()):
|
|
config_value = float(parts[0].strip())
|
|
else:
|
|
config_value = 1 # Default value if no configuration is provided
|
|
|
|
adjusted_probabilities.append(config_value)
|
|
total_prob += config_value
|
|
|
|
normalized_probabilities = [prob / total_prob for prob in adjusted_probabilities]
|
|
|
|
if select_range is None:
|
|
select_count = 1
|
|
else:
|
|
select_count = random.randint(select_range[0], select_range[1])
|
|
|
|
if select_count > len(options):
|
|
selected_items = options
|
|
else:
|
|
selected_items = random.choices(options, weights=normalized_probabilities, k=select_count)
|
|
selected_items = set(selected_items)
|
|
|
|
try_count = 0
|
|
while len(selected_items) < select_count and try_count < 10:
|
|
remaining_count = select_count - len(selected_items)
|
|
additional_items = random.choices(options, weights=normalized_probabilities, k=remaining_count)
|
|
selected_items |= set(additional_items)
|
|
try_count += 1
|
|
|
|
selected_items2 = [re.sub(r'^\s*[0-9.]+::', '', x, 1) for x in selected_items]
|
|
replacement = select_sep.join(selected_items2)
|
|
if '::' in replacement:
|
|
pass
|
|
|
|
replacements_found = True
|
|
return replacement
|
|
|
|
pattern = r'{([^{}]*?)}'
|
|
replaced_string = re.sub(pattern, replace_option, string)
|
|
|
|
return replaced_string, replacements_found
|
|
|
|
def replace_wildcard(string):
|
|
global easy_wildcard_dict
|
|
pattern = r"__([\w\s.\-+/*\\]+?)__"
|
|
matches = re.findall(pattern, string)
|
|
replacements_found = False
|
|
|
|
for match in matches:
|
|
keyword = match.lower()
|
|
keyword = wildcard_normalize(keyword)
|
|
if keyword in easy_wildcard_dict:
|
|
replacement = random.choice(easy_wildcard_dict[keyword])
|
|
replacements_found = True
|
|
string = string.replace(f"__{match}__", replacement, 1)
|
|
elif '*' in keyword:
|
|
subpattern = keyword.replace('*', '.*').replace('+','\+')
|
|
total_patterns = []
|
|
found = False
|
|
for k, v in easy_wildcard_dict.items():
|
|
if re.match(subpattern, k) is not None:
|
|
total_patterns += v
|
|
found = True
|
|
|
|
if found:
|
|
replacement = random.choice(total_patterns)
|
|
replacements_found = True
|
|
string = string.replace(f"__{match}__", replacement, 1)
|
|
elif '/' not in keyword:
|
|
string_fallback = string.replace(f"__{match}__", f"__*/{match}__", 1)
|
|
string, replacements_found = replace_wildcard(string_fallback)
|
|
|
|
return string, replacements_found
|
|
|
|
replace_depth = 100
|
|
stop_unwrap = False
|
|
while not stop_unwrap and replace_depth > 1:
|
|
replace_depth -= 1 # prevent infinite loop
|
|
|
|
# pass1: replace options
|
|
pass1, is_replaced1 = replace_options(text)
|
|
|
|
while is_replaced1:
|
|
pass1, is_replaced1 = replace_options(pass1)
|
|
|
|
# pass2: replace wildcards
|
|
text, is_replaced2 = replace_wildcard(pass1)
|
|
stop_unwrap = not is_replaced1 and not is_replaced2
|
|
|
|
return text
|
|
|
|
|
|
def is_numeric_string(input_str):
|
|
return re.match(r'^-?\d+(\.\d+)?$', input_str) is not None
|
|
|
|
|
|
def safe_float(x):
|
|
if is_numeric_string(x):
|
|
return float(x)
|
|
else:
|
|
return 1.0
|
|
|
|
|
|
def extract_lora_values(string):
|
|
pattern = r'<lora:([^>]+)>'
|
|
matches = re.findall(pattern, string)
|
|
|
|
def touch_lbw(text):
|
|
return re.sub(r'LBW=[A-Za-z][A-Za-z0-9_-]*:', r'LBW=', text)
|
|
|
|
items = [touch_lbw(match.strip(':')) for match in matches]
|
|
|
|
added = set()
|
|
result = []
|
|
for item in items:
|
|
item = item.split(':')
|
|
|
|
lora = None
|
|
a = None
|
|
b = None
|
|
lbw = None
|
|
lbw_a = None
|
|
lbw_b = None
|
|
|
|
if len(item) > 0:
|
|
lora = item[0]
|
|
|
|
for sub_item in item[1:]:
|
|
if is_numeric_string(sub_item):
|
|
if a is None:
|
|
a = float(sub_item)
|
|
elif b is None:
|
|
b = float(sub_item)
|
|
elif sub_item.startswith("LBW="):
|
|
for lbw_item in sub_item[4:].split(';'):
|
|
if lbw_item.startswith("A="):
|
|
lbw_a = safe_float(lbw_item[2:].strip())
|
|
elif lbw_item.startswith("B="):
|
|
lbw_b = safe_float(lbw_item[2:].strip())
|
|
elif lbw_item.strip() != '':
|
|
lbw = lbw_item
|
|
|
|
if a is None:
|
|
a = 1.0
|
|
if b is None:
|
|
b = 1.0
|
|
|
|
if lora is not None and lora not in added:
|
|
result.append((lora, a, b, lbw, lbw_a, lbw_b))
|
|
added.add(lora)
|
|
|
|
return result
|
|
|
|
|
|
def remove_lora_tags(string):
|
|
pattern = r'<lora:[^>]+>'
|
|
result = re.sub(pattern, '', string)
|
|
|
|
return result
|
|
|
|
def process_with_loras(wildcard_opt, model, clip, title="Positive", seed=None, can_load_lora=True, pipe_lora_stack=[], easyCache=None):
|
|
pass1 = process(wildcard_opt, seed)
|
|
loras = extract_lora_values(pass1)
|
|
pass2 = remove_lora_tags(pass1)
|
|
|
|
has_noodle_key = True if "__" in wildcard_opt else False
|
|
has_loras = True if loras != [] else False
|
|
show_wildcard_prompt = True if has_noodle_key or has_loras else False
|
|
|
|
if can_load_lora and has_loras:
|
|
for lora_name, model_weight, clip_weight, lbw, lbw_a, lbw_b in loras:
|
|
if (lora_name.split('.')[-1]) not in folder_paths.supported_pt_extensions:
|
|
lora_name = lora_name+".safetensors"
|
|
lora = {
|
|
"lora_name": lora_name, "model": model, "clip": clip, "model_strength": model_weight,
|
|
"clip_strength": clip_weight,
|
|
"lbw_a": lbw_a,
|
|
"lbw_b": lbw_b,
|
|
"lbw": lbw
|
|
}
|
|
model, clip = easyCache.load_lora(lora)
|
|
lora["model"] = model
|
|
lora["clip"] = clip
|
|
pipe_lora_stack.append(lora)
|
|
|
|
log_node_info("easy wildcards",f"{title}: {pass2}")
|
|
if pass1 != pass2:
|
|
log_node_info("easy wildcards",f'{title}_decode: {pass1}')
|
|
|
|
return model, clip, pass2, pass1, show_wildcard_prompt, pipe_lora_stack
|