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3 Commits
5 changed files with 20 additions and 9 deletions
+7 -3
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@@ -353,7 +353,7 @@ app.registerExtension({
}
this.outputs[0].type = origin_type;
this.outputs[0].name = origin_type;
this.outputs[0].name = 'output1';
}
return;
@@ -483,8 +483,12 @@ app.registerExtension({
if(this.inputs[0].type == '*'){
const node = app.graph.getNodeById(link_info.origin_id);
let origin_type = node.outputs[link_info.origin_slot].type;
let origin_type = node.outputs[link_info.origin_slot]?.type;
if(link_info.target_slot == 0 && this.inputs.length > 1) {
origin_type = this.inputs[1].type;
node.connect(link_info.origin_slot, node.id, 'input1');
}
if(origin_type == '*') {
this.disconnectInput(link_info.target_slot);
return;
+1 -1
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@@ -1,7 +1,7 @@
import configparser
import os
version_code = [7, 10, 1]
version_code = [7, 10, 4]
version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
dependency_version = 23
+10 -3
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@@ -17,9 +17,16 @@ class GeneralSwitch:
dyn_inputs = {"input1": (any_typ, {"lazy": True, "tooltip": "Any input. When connected, one more input slot is added."}), }
if core.is_execution_model_version_supported():
stack = inspect.stack()
if stack[2].function == 'get_input_info' and stack[3].function == 'add_node':
for x in range(2, 200):
dyn_inputs[f"input{x}"] = (any_typ, {"lazy": True})
if stack[2].function == 'get_input_info':
# bypass validation
class AllContainer:
def __contains__(self, item):
return True
def __getitem__(self, key):
return any_typ, {"lazy": True}
dyn_inputs = AllContainer()
inputs = {"required": {
"select": ("INT", {"default": 1, "min": 1, "max": 999999, "step": 1, "tooltip": "The input number you want to output among the inputs"}),
+1 -1
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@@ -259,7 +259,7 @@ def process(text, seed=None):
def is_numeric_string(input_str):
return re.match(r'^-?\d+(\.\d+)?$', input_str) is not None
return re.match(r'^-?\d?+(\.\d+)?$', input_str) is not None
def safe_float(x):
+1 -1
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@@ -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 = "7.10.1"
version = "7.10.4"
license = { file = "LICENSE.txt" }
dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]