Generative AI
  • 序言
  • Chapter 1 Engine for GenAI
    • 1.1 Basic Concepts
    • 1.2 Install Ollama
    • 1.3 Model Download
    • 1.4 Local Installation of Dify
    • 1.5 Quickly Build Applications with Dify and Ollama
    • 1.6 Additional Information
  • Chapter 2 TTS model Inference Fine-tuning
    • 2.1 Basic Concepts
    • 2.2 Introduction to GPT-SoVIST
    • 2.3 Deploying and Preprocessing the Model
    • 2.3 Processing the Training Dataset.
    • 2.4 Model Dataset Formatting
    • 2.5 Model Fine-Tuned Training
    • 2.6 Model Inference
    • 2.7 Additional Information
  • Chapter 4 SD Model Inference
    • 4.1 Stable diffusion install
    • 4.2 SD good Practices
    • 4.3 Kohya install
    • 4.4 Dataset Formatting
    • 4.5 Set standard Parameters
    • 4.7 training
    • 4.8 Validate models
    • 4.10 Basic Concepts
    • 4.11 Prompt
    • 4.12 Prompt plug-in and Embedding
    • 4.13 Training by SD-trainer
    • 4.14 GPU and Accelerated
    • 4.15 Learning Unet(Training parameter)
  • Chapter 5 Computer Vision Video Generation
    • 5.1 Basic concepts of computer vision
    • 5.2 Introduction to Video Generation Model-Stable video diffusion
    • 5.3 Introduction to Video Generation Model-Sora
    • 5.4 Video Generation Best Practices01
    • 5.5 Video Generation Best Practices02
    • 5.6 Video Generation Model Industry Trends
    • 5.7 Comparison of U-Net and Transformer architectures
    • 5.8 CV Toolset
    • 5.6 Video Generation Best Practices03
  • Chapter 6 AI agent (on goning)
    • 6.1Agent Basic Concepts
    • 6.2 Comparison of Workflow Engine Platforms
    • 6.3 Agent Best Practices01-Notebook LLM
    • 6.4 Agent Best Practices02-Url
    • 6.5 Agent Best Practices03-Replicate
    • 6.6 Agent Best Practices04-Thought connection
    • 6.7 Agent Best Comprehensive- music, illustration, copywriting, blogging
  • Chapter 5 Developer Series
    • 5.1 Google Developer Platform API calls
    • 5.2 AWS data service calls
    • 5.3 Cloudflare open platform call
    • 5.4 Oneinstack Configuration
    • 5.5 Huggingface cache directory
  • Conclusion
  • Appendix
    • SDXL Prompt Style
    • Model index
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  1. Chapter 1 Engine for GenAI

1.4 Local Installation of Dify

本小节主要介绍Dify 的本地化安装的主要的过程

Previous1.3 Model DownloadNext1.5 Quickly Build Applications with Dify and Ollama

Last updated 5 months ago

1.0 dify 部署过程

项目地址：https://github.com/langgenius/dify

目前Dify 是开源的自主可控AI 驱动引擎，包含支持的大模型以及RAG引擎，可以自我创建agent 等先关的应用。

这里我们使用docker进行安装，在安装的过程之中的需要的使用的docker compose 的功能的，因为是MAC M3 做的最佳实践，本身包含docker compose .这里是MAC 安装桌面版的docker app

https://dockerdocs.cn/docker-for-mac/install/index.html

git clone https://github.com/langgenius/dify.git

cd dify

cd /dify/docker

cp .env.example .env docker

compose up -d

2.0 Dify 安装完成之后，可以直接在docker app 里面进行管理

安装完成之后，使用如下访问路径进行访问：

http://localhost/apps

目前安装完成现在看到dify 的管理界面。

针对Dify可以添加的本地的大模型文件。

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