Using the built-in venv module

The official self-hosting documentation treats Docker Compose as the primary path for rapid deployment: after cloning Dify, navigate into the docker directory, copy .env.example, then launch with docker compose up -d. Any outdated repository names or manage.py commands found in older articles must be re-verified before actual execution.

Before proceeding, cross-check with the Official Dify Docker Compose Deployment Documentation.

During installation, I maintain three key records:

• The current Dify version,
• Modified entries in the .env file,
• Container status immediately after first startup.

These three records prove far more valuable than a sequence of commands when upgrading or migrating later.

In the previous article, we covered the required software and hardware prerequisites for environment setup—ensuring your system is ready to install Dify, the generative AI application innovation engine. This article details the step-by-step Dify installation process to help you successfully deploy Dify in your local environment.

Prerequisites

Ensure you have completed the following preparations, as outlined in the previous article:

Before installing Dify, verify dependencies, environment variables, ports, account settings, and startup logs. Each step yields verifiable outcomes—this ensures clarity and simplifies troubleshooting later.

1. Operating System: Windows, macOS, or Linux
2. Python: Python 3.7 or later recommended
3. Required Tools: e.g., git, pip, etc.

Installation Steps

1. Clone the Dify Repository

The Dify Installation Steps guide is designed to be read alongside visual aids. First confirm the problem statement and evaluation criteria; then review conceptual explanations and hands-on steps—this helps connect information into a coherent workflow.

Begin by running the following command in your terminal or command line to clone the Dify codebase:

git clone https://github.com/your-username/Dify.git

Replace your-username with the actual GitHub username or organization name hosting the Dify repository. After cloning completes, enter the project directory:

cd Dify

2. Create a Virtual Environment

To manage dependencies cleanly, we recommend using a virtual environment. Create one with:

# Using the built-in venv module
python -m venv venv

Activate the virtual environment:

• Windows:

  venv\Scripts\activate
  

• macOS/Linux:

  source venv/bin/activate
  

3. Install Dependencies

With the virtual environment activated, install Dify’s required Python packages:

pip install -r requirements.txt

This command reads requirements.txt and installs all listed dependencies automatically.

4. Configure Environment Variables

Dify requires certain environment variables to run properly. Create a .env file and populate it with necessary configurations. Example content:

# .env example
API_KEY=your_api_key
DATABASE_URL=your_database_url

Replace your_api_key and your_database_url with values appropriate for your deployment.

5. Initialize the Database

If Dify uses a database backend, initialization is required. Refer to the project documentation for precise instructions—but typically, run:

python manage.py migrate

This creates and configures the required database tables.

6. Launch Dify

Once everything is set up, start Dify with:

python manage.py runserver

After successful startup, Dify will be accessible at http://127.0.0.1:8000/.

7. Verify the Installation

Open your browser and visit http://127.0.0.1:8000/. You should see Dify’s welcome page—confirming that the installation succeeded.

When reviewing Dify Installation Steps, keep key concepts, operational steps, and observable outcomes on the same page for efficient reflection.

When practicing Dify Installation Steps, record input conditions, actions performed, and resulting outputs together—this makes future verification straightforward.

Conclusion

You’ve now completed the Dify installation process. In the next article, we’ll perform an environment configuration audit to ensure all installations and configurations are correct—preparing you for seamless development with generative AI tools. Should you encounter issues during installation, consult the official project documentation or community resources for support.

By following these steps, you’ll have successfully deployed Dify—a powerful generative AI application innovation engine—in your local environment. From here, you can proceed to customize features and build applications tailored to your specific needs.