PurgeVRAM node add any output

This commit is contained in:
chflame163
2025-02-13 09:46:30 +08:00
parent 127be44f9d
commit 3bf7244fa6
5 changed files with 7 additions and 3 deletions
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@@ -147,6 +147,7 @@ When this error has occurred, please check the network environment.
<font size="4">**If the dependency package error after updating, please double clicking ```repair_dependency.bat``` (for Official ComfyUI Protable) or ```repair_dependency_aki.bat``` (for ComfyUI-aki-v1.x) in the plugin folder to reinstall the dependency packages. </font><br />
* [PurgeVRAM](#PurgeVRAM) node add any output.
* Commit [ChoiceTextPreset](#ChoiceTextPreset) and [TextPreseter](#TextPreseter) nodes, used for preset text and selecting preset text output.
* [StringCondition](#StringCondition) add the option of comparing strings to determine if they are the same.
* Commit [NameToColor](#NameToColor) node, Output colors based on their names.
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@@ -128,6 +128,7 @@ os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'
## 更新说明
<font size="4">**如果本插件更新后出现依赖包错误,请双击运行插件目录下的```install_requirements.bat```(官方便携包),或 ```install_requirements_aki.bat```(秋叶整合包) 重新安装依赖包。
* [PurgeVRAM](#PurgeVRAM)增加any输出。
* 添加 [ChoiceTextPreset](#ChoiceTextPreset) 和 [TextPreseter](#TextPreseter) 节点,用于预设文本和选择预设文本输出。
* [StringCondition](#StringCondition) 节点增加比较字符串是否相同功能。
* 添加 [NameToColor](#NameToColor)节点,根据颜色名称输出颜色。
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@@ -22,7 +22,9 @@ class PurgeVRAM:
}
}
RETURN_TYPES = ()
RETURN_TYPES = (any,)
RETURN_NAMES = ("any",)
FUNCTION = "purge_vram"
CATEGORY = '😺dzNodes/LayerUtility/SystemIO'
OUTPUT_NODE = True
@@ -32,7 +34,7 @@ class PurgeVRAM:
if purge_models:
comfy.model_management.unload_all_models()
comfy.model_management.soft_empty_cache()
return (None,)
return (anything,)
NODE_CLASS_MAPPINGS = {
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@@ -1,7 +1,7 @@
[project]
name = "comfyui_layerstyle"
description = "A set of nodes for ComfyUI it generate image like Adobe Photoshop's Layer Style. the Drop Shadow is first completed node, and follow-up work is in progress."
version = "2.0.13"
version = "2.0.14"
license = "MIT"
dependencies = ["numpy", "pillow", "torch", "matplotlib", "Scipy", "scikit_image", "scikit_learn", "opencv-contrib-python", "pymatting", "timm", "colour-science", "transformers", "blend_modes", "huggingface_hub", "loguru"]