feat: wildcard - support k: v pair

https://github.com/ltdrdata/ComfyUI-Impact-Pack/issues/642

modules/impact/config.py

@@ -1,7 +1,7 @@
 import configparser
 import os
 
-version_code = [5, 16]
+version_code = [5, 17]
 version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
 
 dependency_version = 21

modules/impact/wildcards.py

@@ -41,6 +41,9 @@ def read_wildcard(k, v):
             new_key = f"{k}/{k2}"
             new_key = wildcard_normalize(new_key)
             read_wildcard(new_key, v2)
+    elif isinstance(v, str):
+        k = wildcard_normalize(k)
+        wildcard_dict[k] = [v]
 
 
 def read_wildcard_dict(wildcard_path):
@@ -197,11 +200,11 @@ def process(text, seed=None):
                 replacements_found = True
                 string = string.replace(f"__{match}__", replacement, 1)
             elif '*' in keyword:
-                subpattern = keyword.replace('*', '.*').replace('+','\\+')
+                subpattern = keyword.replace('*', '.*').replace('+', '\\+')
                 total_patterns = []
                 found = False
                 for k, v in local_wildcard_dict.items():
-                    if re.match(subpattern, k) is not None:
+                    if re.match(subpattern, k) is not None or re.match(subpattern, k+'/') is not None:
                         total_patterns += v
                         found = True
 

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-impact-pack"
 description = "This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler."
-version = "5.16"
+version = "5.17"
 license = "LICENSE"
 dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]