Imagine effortlessly creating stunning videos from simple text descriptions, tweaking every detail with an AI copilot by your side. That's the promise of Scene Co-pilot, a groundbreaking research project that blends the power of large language models (LLMs) with the precision of 3D scene generation. Generating videos purely from text often results in inconsistencies and unrealistic movements. Existing tools struggle to capture the nuances of human creativity and the complexities of the physical world. Scene Co-pilot tackles these challenges by combining the creative potential of text-based generation with the precise control of 3D environments. At its heart is a clever interplay between LLMs and a procedural 3D scene generator within Blender. Users provide a text prompt describing their desired video, and the system's 'Scene Codex' component translates this into commands for the 3D generator, creating a base scene. But it doesn't stop there. The magic comes with 'BlenderGPT', an AI assistant that allows users to refine the scene in real-time. Want to change the lighting? Adjust the camera angle? Add a specific object from a vast library of 3D models? BlenderGPT makes it happen, understanding your instructions and generating the necessary code behind the scenes. Beginners can use natural language, while more experienced users can interact directly with Blender's interface, enjoying the best of both worlds. The researchers also curated a unique dataset of 'procedural' objects – 3D models defined by code, making them infinitely customizable. This opens up exciting possibilities, letting users build scenes from scratch or combine pre-existing elements with unprecedented flexibility. This human-in-the-loop approach allows for fine-grained control and creative exploration. Users can experiment, iterate, and perfect their vision, guided by the AI assistant. Although still in the research phase, Scene Co-pilot offers a tantalizing glimpse into the future of video creation. Imagine filmmakers, game developers, or even everyday users crafting complex, realistic videos with ease. While challenges remain, like addressing potential LLM hallucinations and expanding the procedural object library, Scene Co-pilot represents a significant leap toward democratizing high-quality video generation.