Imagine creating breathtaking, endless panoramas with just a few words. That's the promise of PanoLlama, a new AI framework that's changing how we generate large-scale images. Unlike traditional methods that struggle to stitch together separate image pieces, PanoLlama treats image generation like writing a story, predicting what comes next in a visual narrative. This innovative approach, borrowing techniques from large language models (LLMs), allows for seamless and coherent panoramas that stretch far beyond what was previously possible. It eliminates the clunky seams and inconsistencies that often plague traditional panorama-creation methods. How does it work? PanoLlama uses a pre-trained LLM to 'understand' the relationships between different parts of an image and predicts the next visual element, much like an LLM predicts the next word in a sentence. This 'next-token prediction' strategy allows PanoLlama to expand images horizontally and vertically, creating extensive, coherent scenes. What’s even more remarkable is its versatility. PanoLlama can generate panoramas from textual descriptions, existing images, or a combination of both. It even supports multi-layout generation, allowing users to define different prompts for various regions within a single panorama, creating complex visual stories within a sprawling canvas. While the current generation leans heavily on pre-trained models and could benefit from future enhancements in focusing subject layout, PanoLlama represents a giant leap forward in the realm of panoramic image generation. It's faster and generates visually seamless images, proving that with the right approach, AI can create truly endless and captivating visual experiences.