“发展速度太快了”!马斯克点赞Seedance 2.0,字节称“还远不完美”
硬AI·2026-02-12 15:44

Core Viewpoint - ByteDance's video model Seedance 2.0 has gained significant popularity overseas, with Elon Musk commenting on its rapid development, indicating a growing market interest in video generation capabilities [2][3][10]. Group 1: Product Launch and Features - Seedance 2.0 has been officially released and is fully integrated with Doubao and Jimeng products, along with the launch of the Huoshan Ark experience center for user trials [7][12]. - The model emphasizes capabilities such as original audio-visual synchronization, multi-camera long narrative, and multi-modal controllable generation, targeting a broader range of creators and commercial content scenarios [7][15]. - Key features include: 1. Multi-modal input supporting text, images, audio, and video, allowing for mixed input of composition, actions, camera movements, effects, and sounds [16]. 2. Original audio-visual synchronization with multi-track output, supporting background music, sound effects, or character narration, aligned with visual rhythm [17]. 3. Multi-camera long narrative capabilities that automatically parse narrative logic, generating shot sequences while maintaining character, lighting, style, and atmosphere consistency [17]. 4. Enhanced video editing and extension capabilities, reinforcing "director-level control" workflow attributes [18]. Group 2: Limitations and Future Developments - Despite its leading industry performance, ByteDance acknowledges that Seedance 2.0 is "far from perfect," with areas for improvement including detail stability, multi-character matching, multi-subject consistency, text restoration accuracy, and complex editing effects [20]. - Compliance and usage boundaries have become clearer, with restrictions on using real human images or videos as reference subjects unless verified or authorized, impacting certain commercial material production and deployment [23]. - The upcoming release of Doubao model upgrades on February 14, 2026, will include significant enhancements to the foundational model capabilities and enterprise-level agent capabilities [25].