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Comfyui-Memory_Cleanup

Clean up system cache, support VRAM cleaning and RAM cleaning

Maintainer@LAOGOU-666Bgrade

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Verified
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@LAOGOU-666
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GitHub
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README

Comfyui-Memory_Cleanup

Comfyui-Memory_Cleanup 是一个用于 ComfyUI 的自定义节点,提供内存清理功能以优化 ComfyUI 的运行性能。

功能介绍

使用示例1

使用示例2

主要功能

本插件提供两个主要节点:

1. 🎈VRAM-Cleanup (GPU显存清理)

可以帮助释放 GPU 显存,主要功能:

  • 卸载模型 (offload_model)
  • 清理显存缓存 (offload_cache)

2. 🎈RAM-Cleanup (系统内存清理)

可以帮助释放系统内存,支持 Windows 和 Linux 系统:

  • 清理文件缓存 (clean_file_cache)
  • 清理进程内存 (clean_processes)
  • 清理未使用的 DLL (clean_dlls)
  • 支持多次重试 (retry_times)

安装方法

  1. 将此仓库克隆或下载到您的 ComfyUI 自定义节点目录:

    git clone https://github.com/LAOGOU-666/Comfyui-Memory_Cleanup.git
    

    或直接下载 ZIP 解压到 custom_nodes 目录

  2. 安装依赖:

    pip install -r requirements.txt
    
  3. 重启 ComfyUI

使用方法

  1. 在节点浏览器中搜索 "Memory Management" 分类
  2. 将 🎈VRAM-Cleanup 或 🎈RAM-Cleanup 添加到您的工作流中
  3. 连接到工作流的适当位置,通常放在生成完成后

参数说明

VRAM-Cleanup

  • anything: 可以连接任何输入
  • offload_model: 是否卸载模型
  • offload_cache: 是否清理显存缓存

RAM-Cleanup

  • anything: 可以连接任何输入
  • clean_file_cache: 是否清理文件缓存
  • clean_processes: 是否清理进程内存
  • clean_dlls: 是否清理未使用DLL
  • retry_times: 重试次数 (1-10)

注意事项

  • 内存清理可能会导致性能暂时下降,但可以防止长时间运行时的内存泄漏
  • 建议在重要节点完成工作后使用此节点

如果您受益于本项目,不妨请作者喝杯咖啡,您的支持是我最大的动力

商务合作

如果您有定制工作流/节点的需求,或者想要学习插件制作的相关课程,请联系我 wechat:wenrulaogou2033

Nodes in this pack

2 nodes
  • RAMCleanup
  • VRAMCleanup

Related resources

30 connections
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Sources

3 sources
GitHubSourceVersion 58de13a6090e04408e343501ff8902c034d9f518
github.com/LAOGOU-666/Comfyui-Memory_Cleanup

Verified Oct 12

Source excerpts

1 excerpt

Source context: Repo LAOGOU-666/Comfyui-Memory_Cleanup