Cat & dog talk show

Cited / reported data

Generate voice, ambience, and music together with the video output. How it works: instead of generating silent video and adding audio in post, the model produces picture and sound in the same pass. It reads the visual context — character lip movements, environment type, action intensity — and generates matching voice, ambience, sound effects, or background music. Text prompts can guide the audio style ('upbeat electronic BGM', 'soft ambient forest sounds', 'female voiceover in English'). When to use this: ad production where every variant needs localized voiceover; social-media shorts where BGM and timing matter but manual syncing is too slow; prototyping scenes where you want to evaluate picture-plus-sound together before investing in professional audio; multilingual content where the same video needs voiceovers in different languages. Tips and practical notes: for best lip-sync results, keep character faces clearly visible and unobstructed. Specify the language and tone of voice in your prompt — 'calm male narrator in Japanese' gives better results than just 'add voice.' When combining native audio with music sync, the model can handle BGM beat alignment and dialogue simultaneously. Review audio in the first pass to catch timing issues early rather than generating many variants before checking.

If a video still needs BGM, ambience, or lip-synced dialogue, the model can generate picture and sound together so those audio choices can be reviewed in the same pass.