improved: Muted inputs are now allowed for Make...List and Make...Batch.

fixed: A bug where the number of input slots did not decrease below 3 when disconnected in `Make...List` and `Make...Batch`.

https://github.com/ltdrdata/ComfyUI-Impact-Pack/issues/1052

js/impact-pack.js

@@ -594,7 +594,12 @@ app.registerExtension({
 
 				let select_slot = this.inputs.find(x => x.name == "select");
 
-				if (!connected && (this.inputs.length > 3)) {
+				let widget_count = 0;
+				if(nodeData.name == 'ImpactSwitch' || nodeData.name == 'LatentSwitch' || nodeData.name == 'SEGSSwitch') {
+					widget_count += 1;
+				}
+
+				if (!connected && (this.inputs.length > widget_count+1)) {
 					if(
 						!stackTrace.includes('LGraphNode.prototype.connect') && // for touch device
 						!stackTrace.includes('LGraphNode.connect') && // for mouse device

modules/impact/config.py

@@ -3,7 +3,7 @@ import os
 import logging
 
 
-version_code = [8, 20, 1]
+version_code = [8, 21]
 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/util_nodes.py

@@ -298,7 +298,7 @@ class ImpactDummyInput:
 class MasksToMaskList:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": {
+        return {"optional": {
                         "masks": ("MASK", ),
                       }
                 }
@@ -473,7 +473,7 @@ class NthItemOfAnyList:
 class MakeImageList:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": {"image1": ("IMAGE",), }}
+        return {"optional": {"image1": ("IMAGE",), }}
 
     RETURN_TYPES = ("IMAGE",)
     OUTPUT_IS_LIST = (True,)
@@ -493,7 +493,7 @@ class MakeImageList:
 class MakeImageBatch:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": {"image1": ("IMAGE",), }}
+        return {"optional": {"image1": ("IMAGE",), }}
 
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "doit"
@@ -501,14 +501,13 @@ class MakeImageBatch:
     CATEGORY = "ImpactPack/Util"
 
     def doit(self, **kwargs):
-        image1 = kwargs['image1']
-        del kwargs['image1']
         images = [value for value in kwargs.values()]
 
-        if len(images) == 0:
-            return (image1,)
+        if len(images) == 1:
+            return (images[0],)
         else:
-            for image2 in images:
+            image1 = images[0]
+            for image2 in images[1:]:
                 if image1.shape[1:] != image2.shape[1:]:
                     image2 = comfy.utils.common_upscale(image2.movedim(-1, 1), image1.shape[2], image1.shape[1], "lanczos", "center").movedim(1, -1)
                 image1 = torch.cat((image1, image2), dim=0)
@@ -518,7 +517,7 @@ class MakeImageBatch:
 class MakeMaskBatch:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": {"mask1": ("MASK",), }}
+        return {"optional": {"mask1": ("MASK",), }}
 
     RETURN_TYPES = ("MASK",)
     FUNCTION = "doit"
@@ -526,14 +525,13 @@ class MakeMaskBatch:
     CATEGORY = "ImpactPack/Util"
 
     def doit(self, **kwargs):
-        mask1 = kwargs['mask1']
-        del kwargs['mask1']
         masks = [make_3d_mask(value) for value in kwargs.values()]
 
-        if len(masks) == 0:
-            return (mask1,)
+        if len(masks) == 1:
+            return (masks[0],)
         else:
-            for mask2 in masks:
+            mask1 = masks[0]
+            for mask2 in masks[1:]:
                 if mask1.shape[1:] != mask2.shape[1:]:
                     mask2 = comfy.utils.common_upscale(mask2.movedim(-1, 1), mask1.shape[2], mask1.shape[1], "lanczos", "center").movedim(1, -1)
                 mask1 = torch.cat((mask1, mask2), dim=0)

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 = "8.20.1"
+version = "8.21"
 license = { file = "LICENSE.txt" }
 dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]