zk-rag-image-generator 1.1.0

Tool plugin for zk-rag to generate images with stable diffusion 3.5 medium

zk-rag-image-generator

A plugin for zk-rag that enables image generation using Stable Diffusion 3.5 Medium model.

Description

This plugin provides a tool to generate images from textual descriptions using the Stable Diffusion 3.5 Medium model. It can be used to enhance your RAG (Retrieval-Augmented Generation) applications with image generation capabilities.

Features

• Generate images from textual descriptions
• Save generated images as PNG files
• Integration with mojentic LLM tools
• Comprehensive error handling
• Configurable through a gateway pattern

Installation

pip install zk-rag-image-generator

Usage

The plugin will be automatically discovered by zk-rag when installed. It provides the GenerateImage tool which can be used to create images from textual descriptions.

Example usage through zk-rag:

from zk_rag import get_tool

image_tool = get_tool("generate_image")
filename = image_tool.run(
    image_description="A serene mountain landscape at sunset with snow-capped peaks and a clear lake reflecting the orange sky",
    base_filename="mountain_sunset"
)
print(f"Image saved as: {filename}")  # Will print: Image saved as: mountain_sunset.png

Requirements

• Python >= 3.11
• mojentic (LLM tools framework)
• torch, torchvision, torchaudio (PyTorch stack)
• diffusers (Stable Diffusion implementation)
• transformers (Hugging Face Transformers)
• accelerate (Hardware acceleration support)
• safetensors (Model weight handling)
• Additional dependencies: scipy, protobuf, sentencepiece

For the complete list with specific versions, see requirements.txt.

Local Development

1. Clone the repository
2. Install dependencies:

   pip install -r requirements.txt
   pip install -r dev-requirements.txt
   

3. Install pre-commit hooks (recommended):

   # Create a pre-commit hook that runs pytest
   cat > .git/hooks/pre-commit << 'EOL'
   #!/bin/sh
   
   # Run pytest
   echo "Running pytest..."
   python -m pytest
   
   # Store the exit code
   exit_code=$?
   
   # Exit with pytest's exit code
   exit $exit_code
   EOL
   
   # Make the hook executable
   chmod +x .git/hooks/pre-commit
   

Testing Guidelines

• Tests are co-located with implementation files
• Run tests: pytest
• Linting: flake8 src
• Code style:
  • Max line length: 127
  • Max complexity: 10
  • Follow numpy docstring style

Testing Best Practices

• Use pytest for testing, with mocker if you require mocking
• Do not use unittest or MagicMock directly
• Use @fixture markers for pytest fixtures
• Break up fixtures into smaller fixtures if they are too large
• Separate test phases with a single blank line
• Each test must fail for only one clear reason
• Only write mocks for our own gateway classes

License

MIT License

Author

Stacey Vetzal ([e-mail])