AI MV Generator applies advanced beat detection algorithms to analyze input audio files and coordinates them with diffusion-based video frame generation. Users provide audio tracks and optional style prompts or seed visuals; the system processes waveform data, extracts rhythm patterns, and generates a sequence of image frames reflective of each audio segment’s mood. Frames are then interpolated to create smooth motion, producing a cohesive music video. Users can tweak parameters such as style prompts, frame rate, resolution, and duration to achieve desired aesthetics. The pipeline integrates seamlessly with GPU-accelerated inference for fast rendering and outputs standard video formats compatible with popular editing tools, streamlining AI-driven video production.