Added Delay node

__init__.py

@@ -48,6 +48,7 @@ node_list = [
     "unloaders.model_unloaders_LP",
     "vlm.autotagger_LP",
     "vlm.llava_LP",
+    "utils.utils_LP",
 ]
 
 NODE_CLASS_MAPPINGS = {}

cpp_agent_req.txt

@@ -1,4 +1,4 @@
-llama-cpp-agent>=0.2.35
+llama-cpp-agent
 mkdocs
 mkdocs-material
 mkdocstrings[python]

nodes/utils/utils_LP.py

@@ -0,0 +1,42 @@
+import time
+
+class AnyType(str):
+    def __ne__(self, __value: object) -> bool:
+        return False
+
+any = AnyType("*")
+
+class Delay:    
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "input": (any, {"defaultInput": True}),
+                "delay_seconds": ("FLOAT", {
+                    "default": 1.0,
+                    "min": 0.0,
+                    "step": 0.1
+                }),
+            },
+        }
+
+    RETURN_TYPES = (any,)
+    RETURN_NAMES = ("output",)
+    FUNCTION = "add_delay"
+    CATEGORY = "LevelPixel/Unloaders"
+    
+    def add_delay(self, input, delay_seconds):
+        delay_text = f"{delay_seconds:.1f} second{'s' if delay_seconds != 1 else ''}"
+        print(f"[Delay Node] Starting delay of {delay_text}")
+        time.sleep(delay_seconds)
+        print(f"[Delay Node] Delay of {delay_text} completed")
+        return (input,)
+
+NODE_CLASS_MAPPINGS = {
+    "Delay|LP": Delay,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "Delay|LP": "Delay [LP]",
+}
+

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui_level_pixel"
 description = "Various nodes of the Level Pixel company. Includes convenient advanced nodes for working with images from folders; counting files in a folder; cleaning memory; tag filters. Model Unloader, LLM Unloader (GGUF unloaders), Free memory, Tag Filters, Tag Category Filters, Tag Choice Parser, File counter, Image Loader From Path (with counters), Image Remove Background based on RemBG, Autotagger."
-version = "1.1.1"
+version = "1.1.2"
 license = { file = "LICENSE" }
 dependencies = ["torch>=2.0.1", "torchvision>=0.15.2", "pillow>=9.4.0", "numpy", "matplotlib", "scikit-build-core>=0.10.7", "rembg>=2.0.59", "onnxruntime-gpu>=1.20.0", "onnxruntime>=1.20.0", "googletrans", "langdetect", "httpcore", "deep_translator"]