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ComfyDeploy: How ComfyUI-LLMs works in ComfyUI?

What is ComfyUI-LLMs?

A minimalist node that calls LLMs, combined with one API, can call all language models, including local models.

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for ComfyUI-LLMs and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

ComfyUI LLMs Extension

A ComfyUI extension that supports various Large Language Models (LLMs) and Vision Language Models (VLMs), providing a unified interface and simple configuration.

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English | 中文

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✨ Features

  • 🤖 Support for multiple LLM chat models
  • 🎯 Unified vision model interface with multiple VLM support
  • 🔄 Dynamic model switching
  • 🌐 Bilingual interface (English/Chinese)
  • ⚙️ Simple configuration

📦 Installation

  1. Navigate to ComfyUI's custom_nodes directory
cd ComfyUI/custom_nodes
  1. Clone the repository
git clone https://github.com/leoleexh/ComfyUI-LLMs
  1. Install dependencies
cd ComfyUI-LLMs
pip install -r requirements.txt

⚙️ Configuration

Basic Setup

  1. Copy the configuration template
cp settings.yaml.sample settings.yaml
  1. Edit settings.yaml to configure your API keys and model settings

Detailed Configuration

The configuration file structure is as follows:

chatllmleoleexh:
  # OpenAI Compatible Interface Configuration
  openai_compatible:
    default:
      api_base: "http://your-api-endpoint:3200/v1"  # API endpoint
      organisation: "NONE"                          # Organization ID (optional)
      api_key: "your-api-key"                      # API key
      model:                                       # Supported models
        - "gpt-3.5-turbo"
        - "gpt-4"
        # Other supported models...

  # Vision Models Configuration
  vision_models:
    # OpenAI Vision Model
    openai:
      api_key: "your-openai-key"
      api_base: "http://your-api-endpoint:3200/v1"
      model_list:
        - "gpt-4-vision-preview"
    
    # Zhipu GLM4 Vision Model
    glm4:
      api_key: "your-glm4-key"
      model_list: 
        - "glm-4v"
        - "glm-4"
    
    # Alibaba Qwen Vision Model
    ali:
      api_key: "your-ali-key"
      model_list:
        - "qwen-vl-plus"
        - "qwen-vl-max"
    
    # Google Gemini Vision Model
    gemini:
      api_key: "your-gemini-key"
      model_list:
        - "gemini-pro-vision"

  # Prompt Templates Configuration
  prompt_templates:
    default:
      system: "System prompt"
      prefix: "Prefix prompt"
      suffix: "Suffix prompt"

Model Support

  1. OpenAI and Compatible Models

    • Standard OpenAI API support
    • Third-party compatible interfaces (e.g., One API)
    • Multiple models and endpoints configuration

  2. Vision Model Support

    • OpenAI GPT-4V
    • Zhipu GLM-4V
    • Alibaba Qwen VL
    • Google Gemini

API Key Acquisition

🎯 Usage

Chat Function

  1. Find 🤖 LLMs Chat in the node list
  2. Configure model parameters
  3. Input conversation content

Image Understanding

  1. Find 🎯 LLMs Vision in the node list
  2. Select the vision model to use
  3. Connect image input
  4. Run to get image description

🔄 Changelog

See CHANGELOG.md

📝 Notes

  • Ensure API keys are configured correctly
  • Some models may require proxy access
  • Stable network connection recommended
  • Be aware of API rate limits

🤝 Contributing

Issues and Pull Requests are welcome!

📄 License

MIT License

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ComfyUI LLMs 扩展

ComfyUI的LLM扩展，支持多种大语言模型和视觉语言模型，提供统一的接口和简单的配置方式。

节点预览

✨ 功能特点

  • 🤖 支持多种LLM模型的对话功能
  • 🎯 统一的视觉模型接口，支持多种视觉语言模型
  • 🔄 动态模型切换
  • 🌐 支持中英文双语界面
  • ⚙️ 简单的配置方式

📦 安装方法

  1. 进入ComfyUI的custom_nodes目录
cd ComfyUI/custom_nodes
  1. 克隆仓库
git clone https://github.com/leoleexh/ComfyUI-LLMs
  1. 安装依赖
cd ComfyUI-LLMs
pip install -r requirements.txt

⚙️ 配置说明

基本配置

  1. 复制配置文件模板
cp settings.yaml.sample settings.yaml
  1. 编辑 settings.yaml 文件，配置您的API密钥和模型设置

详细配置说明

配置文件结构如下：

chatllmleoleexh:
  # OpenAI兼容接口配置
  openai_compatible:
    default:
      api_base: "http://your-api-endpoint:3200/v1"  # API端点
      organisation: "NONE"                          # 组织ID（可选）
      api_key: "your-api-key"                      # API密钥
      model:                                       # 支持的模型列表
        - "gpt-3.5-turbo"
        - "gpt-4"
        # 其他支持的模型...

  # 视觉模型配置
  vision_models:
    # OpenAI视觉模型
    openai:
      api_key: "your-openai-key"
      api_base: "http://your-api-endpoint:3200/v1"
      model_list:
        - "gpt-4-vision-preview"
    
    # 智谱GLM4视觉模型
    glm4:
      api_key: "your-glm4-key"
      model_list: 
        - "glm-4v"
        - "glm-4"
    
    # 阿里通义千问视觉模型
    ali:
      api_key: "your-ali-key"
      model_list:
        - "qwen-vl-plus"
        - "qwen-vl-max"
    
    # Google Gemini视觉模型
    gemini:
      api_key: "your-gemini-key"
      model_list:
        - "gemini-pro-vision"

  # 提示词模板配置
  prompt_templates:
    default:
      system: "系统提示词"
      prefix: "前缀提示词"
      suffix: "后缀提示词"

模型支持说明

  1. OpenAI及兼容模型

    • 支持标准OpenAI接口
    • 支持第三方兼容接口（如One API）
    • 可配置多个模型和接口

  2. 视觉模型支持

    • OpenAI GPT-4V
    • 智谱 GLM-4V
    • 阿里通义千问
    • Google Gemini

API密钥获取

🎯 使用方法

聊天功能

  1. 在节点列表中找到 🤖 LLMs Chat | 智能对话
  2. 配置模型参数
  3. 输入对话内容

图像理解功能

  1. 在节点列表中找到 🎯 LLMs Vision | 图像理解
  2. 选择���使用的视觉模型
  3. 连接图像输入
  4. 运行获取图像描述

🔄 更新日志

详见 CHANGELOG.md

📝 注意事项

  • 请确保API密钥配置正确
  • 部分模型可能需要代理访问
  • 建议使用稳定的网络环境
  • 注意API调用频率限制

🤝 贡献

欢迎提交Issue和Pull Request！

📄 许可证

MIT License