Kristoffer Torp updated the xDiT video diffusion documentation in the ROCm/ROCm repository, focusing on AI inference workflows for AMD Instinct accelerators. He enhanced onboarding by clarifying setup steps, supported models, and benchmarking commands, addressing common pain points for developers working with AI-powered video generation. Using technical writing skills and languages such as RST and YAML, Kristoffer ensured the documentation was both accessible and technically precise. The update improved traceability by linking documentation changes to specific issues and commits. While the work was limited to documentation, it provided depth by reducing ambiguity and supporting more efficient adoption of ROCm xDiT features.