Landscape transition sync

Cited / reported data

Sync video to music beats for rhythm-aligned output across music videos, ads, and other beat-driven content. How it works: upload a music track as @audio1 in your prompt. The model analyzes the track's beat structure, tempo changes, and mood shifts, then generates video where camera cuts, motion intensity, and visual transitions align with the musical rhythm. Scene changes can land on downbeats, camera movement speeds up during high-energy passages, and slower sections get calmer visuals. When to use this: music-video production where visual rhythm matters; brand ads tied to a soundtrack; social-media content where BGM-synced visuals drive engagement; event recaps or highlight reels set to music; dance or performance content where timing and beat-matching are critical. Tips and practical notes: choose a track with a clear beat structure for the strongest alignment — electronic, pop, and hip-hop tracks with defined kicks and snares work especially well. For complex tracks with time-signature changes, the model follows the most prominent rhythmic layer. You can combine music sync with other capabilities: use @video1 for camera motion reference and @audio1 for beat alignment simultaneously. Preview the first generation before scaling to catch any timing mismatches early.

For MVs or rhythm-driven content, lining picture to the beat used to mean manual frame tweaking. Seedance 2.0 lets you upload a track; the model reads beat and mood and generates video that stays in sync—cuts and motion hit the beat. Skip the manual sync pass and get rhythm-ready output.