In less than three years, generative AI has evolved from an experimental toy to a regular presence in studio pitches, previs workflows, and even the festival circuit. Yet one challenge has stymied the full adoption of generative AI in long-form storytelling: establishing and maintaining control over outputs. This challenge also fuels many of the anxieties surrounding the use of artificial intelligence in media production. How can artists maintain their creative voice when a machine is doing all the artistic work, and often doing so with inconsistent results? The Entertainment Technology Center at USC set out to tackle these and related challenges with a new film project, “The Bends.” Continue reading Consistency Is Key: Lessons on Generative AI via ‘The Bends’

Stability AI, purveyor of the popular Stable Diffusion image generator, has introduced a completely new model called Stable Cascade. Now in preview, Stable Cascade uses a different architecture than Stable Diffusion’s SDXL that the UK company’s researchers say is more efficient. Cascade builds on a compression architecture called Würstchen (German for “sausage”) that Stability began sharing in research papers early last year. Würstchen is a three-stage process that includes two-step encoding. It uses fewer parameters, meaning less data to train on, greater speed and reduced costs. Continue reading Stability AI Advances Image Generation with Stable Cascade