Kandinsky 2.2 is an open-source text-to-image generative AI model that creates high-quality images from natural language prompts. It enables developers, artists, and researchers to generate creative visuals using deep learning diffusion models.

Features of Kandinsky 2.2:

• Generates high-quality images from textual descriptions using advanced diffusion techniques.
• Supports integration with Python ML frameworks such as PyTorch and Hugging Face Diffusers.
• Can run on CPU or GPU, enabling flexible experimentation and deployment.
• Provides pre-trained models via Hugging Face for fast and easy use.
• Open-source and widely used for AI art, concept visualization, and research in image synthesis.

To check the installed version of Kandinsky 2.2 in your environment:

$ source /opt/kandinsky/venv/bin/activate
$ python -c "from kandinsky2 import get_kandinsky2; print('Kandinsky 2.2 Installed Successfully')"
$ echo "Kandinsky version: 2.2"

Disclaimer: Kandinsky 2.2 is developed and maintained by AI developers at AI-Forever. It provides powerful text-to-image generation capabilities, but output quality depends on input prompts and system resources. Always refer to official documentation or the repository for the most accurate and up-to-date information.