Azure Dalle3 Image Generation and Quality Check using GPT-4o

This project uses OpenAI's Azure API to generate images with Dalle3 and employs GPT mode as an image checker to review the generated images. This is necessary because Dalle3 often does not follow instructions correctly. Below is a step-by-step guide on how to run this code.

Environment Setup

1. Clone the project:

   git clone <your-repo-url>
   cd <your-repo-directory>

2. Create a virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # Linux/MacOS
   # .\venv\Scripts\activate  # Windows

3. Install dependencies:

   pip install -r requirements.txt

4. Set environment variables:

   • Create a .env file and add the following content:

     AZURE_OPENAI_API_VERSION=<your-api-version>
     AZURE_OPENAI_API_ENDPOINT=<your-api-endpoint>
     AZURE_OPENAI_API_KEY=<your-api-key>
     GPT_4O_API_URL=<your-gpt-4o-api-url>
     OUTPUT_DIRECTORY=<your-output-directory>
     

Run the Code

1. Execute the main script:

   python image_generation.py

2. Check the output:

   • The generated images will be saved in the specified output directory.
   • If the images do not meet the standards, they will be saved in the _bad_images subdirectory.

Code Logic Diagram

flowchart TD
    A[Start] --> B[Generate Image]
    B --> C{Check Image Quality}
    C -->|True| D[Save Image to Output Directory]
    C -->|False| E[Save Image to _bad_images Directory]
    E --> F[Generate Image]
    F --> C
    D --> G[End]

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Notes

• Ensure all environment variables are set correctly.
• Ensure a stable network connection to access the Azure OpenAI API.