fixed: The {n$$...}` wildcard pattern was not working properly.

https://github.com/ltdrdata/ComfyUI-Impact-Pack/issues/1055

modules/impact/config.py

@@ -3,7 +3,7 @@ import os
 import logging
 
 
-version_code = [8, 20]
+version_code = [8, 20, 1]
 version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
 
 my_path = os.path.dirname(__file__)

modules/impact/impact_pack.py

@@ -672,7 +672,7 @@ class LatentPixelScale:
         return {"required": {
                      "samples": ("LATENT", ),
                      "scale_method": (s.upscale_methods,),
-                     "scale_factor": ("FLOAT", {"default": 1.5, "min": 0.1, "max": 10000, "step": 0.1}),
+                     "scale_factor": ("FLOAT", {"default": 1.5, "min": 0.1, "max": 10000, "step": 0.05}),
                      "vae": ("VAE", ),
                      "use_tiled_vae": ("BOOLEAN", {"default": False, "label_on": "enabled", "label_off": "disabled"}),
                     },

modules/impact/impact_server.py

@@ -12,6 +12,7 @@ import torchvision
 import impact.core as core
 import impact.impact_pack as impact_pack
 from impact.utils import to_tensor
+import impact.utils as utils
 from segment_anything import SamPredictor, sam_model_registry
 import numpy as np
 import nodes
@@ -145,7 +146,7 @@ async def sam_detect(request):
                     plabs.append(0)
 
                 detected_masks = core.sam_predict(sam_predictor, points, plabs, None, threshold)
-                mask = core.combine_masks2(detected_masks)
+                mask = utils.combine_masks2(detected_masks)
 
                 if mask is None:
                     return web.Response(status=400)

modules/impact/wildcards.py

@@ -139,7 +139,7 @@ def process(text, seed=None):
                     if b is not None:
                         b = b.strip()
                     else:
-                        b = "-1"
+                        b = a
 
                 if r is not None:
                     if b is not None and is_numeric_string(a) and is_numeric_string(b):

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-impact-pack"
 description = "This node pack offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler."
-version = "8.20"
+version = "8.20.1"
 license = { file = "LICENSE.txt" }
 dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]