bytedance/seedance-1.5-pro

A joint audio-video model that accurately follows complex instructions.

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Seedance 1.5 Pro

Generate videos with synchronized audio and video in a single pass. This model creates cinema-quality videos with precise lip-syncing, cinematic camera movements, and native audio that matches the visuals.

How it works

Seedance 1.5 Pro uses a dual-branch architecture that generates audio and video simultaneously, not one after the other. This means the audio and visuals are perfectly synchronized from the start—when a character speaks, their lips move in exact time with the sound. When something explodes, you hear it at the precise moment it happens on screen.

The model supports multiple languages and dialects with accurate lip-sync, including English, Mandarin Chinese, Japanese, Korean, Spanish, Portuguese, Indonesian, and Chinese dialects like Cantonese and Sichuanese.

What you can create

Film and storytelling

Create short films with coherent narratives across multiple shots. The model maintains character consistency—clothing, faces, and style stay the same across different scenes, making it possible to tell complete stories.

Marketing and product videos

Generate professional product demonstrations with voiceovers and cinematic camera movements. The model understands complex camera techniques like dolly zooms and tracking shots, giving your videos a polished look.

Multilingual content

Create the same video in multiple languages with natural lip-syncing for each one. No need to reshoot or redub—just describe the scene and specify the language or dialect.

Music and dialogue

Animate photos with synchronized speech or music. The model analyzes facial structure and timing to match mouth movements with audio, whether it’s dialogue, singing, or narration.

Key features

Native audio-video generation

Unlike other video models that add sound as a separate step, Seedance 1.5 Pro creates both together. This gives you ambient sounds that match the scene, character voices with emotional expression, and background music that fits the mood—all coordinated with what’s happening on screen.

Precise lip-syncing

The model achieves millisecond-precision synchronization between audio and mouth movements. It understands phonemes—the individual sounds in speech—and maps them correctly to lip shapes across different languages and dialects.

Cinematic camera control

Direct camera movements like pan, tilt, zoom, truck, and orbit to create professional-looking shots. You can create everything from intimate close-ups to sweeping establishing shots.

Character consistency

When generating multiple clips for a story, the model keeps characters looking the same. Faces, clothing, and style remain consistent, so you can create coherent narratives with multiple shots.

Background stability

The model isolates moving subjects from their environment, keeping backgrounds static and realistic while characters move. This prevents the warping effect common in some video generation models.

Example prompts

Here are some prompts that work well:

“A woman in a red dress dancing in the rain on a city street at night, neon signs reflecting in puddles, slow zoom out”

“Close-up of an elderly man’s face as he tells a story, warm golden hour lighting, subtle camera push in”

“Cyberpunk detective walking through crowded market, steam rising from food stalls, camera follows from behind then orbits to front”

“Two friends having an animated conversation at a cafe, natural hand gestures, camera slowly dollies around the table”

For best results, describe the visual scene, any camera movements you want, and the mood or atmosphere. If you want audio, specify what sounds or dialogue should be present and in which language.

Technical details

The model uses a Dual-Branch Diffusion Transformer (DB-DiT) architecture with 4.5 billion parameters. The two branches handle video and audio generation in parallel, with a cross-modal joint module that keeps them synchronized.

It can generate videos up to 1080p resolution with frame rates that support smooth motion and natural movement. The inference process has been optimized for speed, making it practical for professional workflows.

Tips for getting good results

Start with clear, descriptive prompts that explain what’s happening in the scene. Include details about camera movement if you want specific cinematography.

For dialogue or speech, specify the language and any emotional tone. The more context you provide, the better the model can generate appropriate lip movements and audio.

If you’re creating multiple shots for a story, describe character details consistently across prompts to help maintain visual continuity.

For image-to-video generation, use clear photos where faces and subjects are well-defined. This helps the model create more accurate animations and lip-sync.

Learn more

For technical details and model architecture, check out the official documentation.

You can try this model on the Replicate Playground.

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