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McGillacutty: I came to RTX Remix from a visual and architectural perspective, without any modding background a year ago. When Quinn showed me Painkiller’s towering gothic interiors, I immediately saw how well they would lend themselves to ray-traced lighting—stained glass, stone, metal, and deep interior spaces. RTX Remix offered a way to renovate those environments by rebuilding the materials so the lighting could finally behave realistically, which pulled me straight into the project. Quinn Baddams: I’ve been interested in computer graphics and technical art since the early days of 3D accel

McGillacutty: Scale was the primary driver. With thousands of textures spread across 35 levels, rebuilding materials by hand would have been impractical for a small team. I was already using generative AI for rapid iteration and visual exploration in other design contexts, so adapting it for RTX Remix felt like a natural extension. Fine-tuning a model gave us a way to process large volumes of stylized legacy textures efficiently while maintaining cohesion across levels. Instead of treating each asset as an isolated problem, AI helped establish a consistent material baseline that we could then

McGillacutty: It comes down to scalable quality. AI-generated outputs were essential for handling the sheer volume of assets and establishing a consistent visual baseline across the project, but they’re not a substitute for artistic judgment. The manual refinement phase is where we pushed quality further and preserved Painkiller’s distinct character. That’s where we reinterpreted ambiguous source textures, corrected materials that broke under physically accurate lighting, and made intentional creative decisions. This hybrid approach allowed us to automate roughly 80% of the repetitive work, so

McGillacutty: Consistency at that scale required defining constraints early and treating AI output as a baseline system rather than as individual, isolated assets. PBRFusion’s content-consistent super-resolution produced cohesive results across large material sets, which helped establish a shared visual language for the project. We regularly evaluated materials in context using in-engine captures, then iterated so that both AI-generated materials and hand-crafted hero assets reinforced the same style and quality bar. Quinn Baddams: We set a small number of core guidelines early on. Small or di