AMD Amuse Frame-to-Frame Video AI Workflow

AMD's Amuse (developed in collaboration with TensorStack.AI) is a Windows-based application optimized for AMD hardware (Radeon GPUs and Ryzen AI processors with XDNA NPUs) that enables local generative AI for image and video creation using Stable Diffusion models. While primarily known for text-to-image generation, Amuse 3.0 (released in 2025) introduces text-to-video and image-to-video capabilities via video diffusion workflows. These leverage frame-to-frame processing to generate coherent video sequences, ensuring temporal consistency across frames. The workflow is designed for low-latency, local execution without cloud dependency, supporting features like AI photo filters and super-resolution upscaling.