GEN_AI provides a flexible architecture for assembling generative AI agents by defining processing pipelines, integrating large language models, and supporting custom plugins. Developers can configure text, image, or data generation workflows, manage input/output handling, and extend functionality through community or custom plugins. The framework simplifies orchestrating calls to multiple AI services, provides logging and error management, and enables rapid prototyping. With modular components and configuration files, teams can quickly deploy, monitor, and scale AI-driven applications in research, customer service, content creation, and more.

Stable Diffusion 3 is the latest AI model in the series, consisting of two billion parameters. It excels in producing photorealistic images, handles complex prompts efficiently, and generates clear text. The model is available under an open non-commercial license. Ranging from 800M to 8B parameters, the model offers scalable options for various creative needs, combining a diffusion transformer architecture and flow matching for superior performance.