Seedance 1.5 Pro - ByteDance's new audio-visual synchronized multimodal video model

What is Seedance 1.5 Pro?

Seedance 1.5 Pro is a native audio-visual synchronized multimodal video generation model developed by ByteDance's Seed team. The model can generate high-quality video content based on text prompts, supporting diverse voices and sound effects, covering multiple languages and dialects. Through deep learning technology, the model achieves synchronized audio-visual generation, ensuring perfect alignment of lip movements, actions, and speech. In terms of camera work and cinematic quality, it can present complex camera movements and naturally coordinated visuals, suitable for various scenarios such as short dramas, commercials, and social media. Seedance 1.5 Pro brings a brand-new experience to video creation with its efficient and natural generation capabilities.

Key features of Seedance 1.5 Pro

• Native audio-visual synchronizationSeedance 1.5 Pro can dynamically generate matching audio based on video content, perfectly aligning lip movements, actions, and voice for a natural and smooth overall effect.
• Multimodal fusionAs a multimodal model, it can process multiple modalities of data, such as text, images, and audio.
• High-quality generationIt excels in video and audio generation, with rich image details, harmonious composition, clear and natural audio, and supports multiple languages and dialects. The overall effect is close to that of real-life film and television content.

Technical principles of Seedance 1.5 Pro

• Multimodal generation architectureThe model is based on a deep learning framework and integrates text generation, image generation, and audio generation modules. Through cross-modal feature extraction and fusion, it achieves end-to-end generation from text descriptions to synchronized audio and video.
• Audio-visual synchronization algorithmThrough a special synchronization mechanism, the model adjusts the frame rate and rhythm of audio and video in real time during the generation process to ensure accurate matching between the character's lip movements and speech.
• Attention mechanisms and contextual understandingThe model uses an attention mechanism to focus on key information in text prompts, combined with contextual semantic understanding, to generate visuals and sounds that conform to narrative logic. This makes the generated video content more coherent and emotionally expressive.
• Optimized Generative Adversarial Networks (GANs)During the generation process, an optimized GAN architecture is used to continuously improve the quality and realism of the generated videos through adversarial training between the generator and the discriminator.

Seedance 1.5 Pro project address

• Project official websitehttps://seed.bytedance.com/zh/seedance1_5_pro
• arXiv technical paper: https://arxiv.org/pdf/2512.13507

Application scenarios of Seedance 1.5 Pro

• Film and television productionIt enables the rapid generation of visual prototypes of scripts and special effects previews in the early stages of film and television production, thereby improving production efficiency.
• Advertising and MarketingGenerate personalized ad videos based on brand needs, meeting advertising requirements across multiple platforms such as social media.
• Education and TrainingThe model can generate educational videos and corporate training materials, improving teaching effectiveness through synchronized audio and video.
• social mediaIt provides creators with efficient content generation tools to quickly generate personalized content suitable for short video platforms.
• Game developmentGenerate game cutscenes, character animations, and scene rendering to enhance game immersion.