For the last two years, the improvement in fidelity and control in diffusion models has been incredible; generation results are often indistinguishable from real images, and a huge ecoystem of tools has emerged to offer various forms of control over the generation process. However, for a lot of real-world workflows, you quickly run up against limitations that make things hard for less technical users.
