In this episode we dive deep into Qwen-Image—a groundbreaking 20-billion parameter multimodal diffusion transformer that's solving one of AI's most persistent problems: generating crisp, accurate text within images. We'll explore how its curriculum-based training approach, dual-encoding architecture, and native Chinese support are reshaping everything from design workflows to e-commerce platforms, and why this might be the inflection point where "text in images" stops being a pain point and starts being a superpower.