Seedance 2.0全量上线，字节正式加入春节模型大战

Core Insights - ByteDance has officially launched Seedance 2.0, a video model that supports multi-modal input, marking its entry into the competitive landscape of video generation technology during the Spring Festival model battle [1][2]. Group 1: Product Features - Seedance 2.0 utilizes a unified multi-modal audio-video generation architecture, allowing inputs from text, images, audio, and video [2]. - The model supports mixed modal input, enabling users to input up to 9 images, 3 video clips, 3 audio segments, and natural language instructions simultaneously [3]. - Compared to its predecessor, version 1.5, Seedance 2.0 emphasizes improved generation quality, complex interactions, and high usability in dynamic scenes, adhering more closely to physical laws [6]. Group 2: User Experience - Users can generate a 5-second video in approximately 2 hours, with a deduction of 40 points from their account for each video generated, and the system offers two free acceleration opportunities [4]. - The model allows for video editing capabilities, enabling users to modify specific segments, characters, actions, or plots during the generation process [8]. - Seedance 2.0 supports the generation of multi-shot videos up to 15 seconds long, enhancing its applicability in film and advertising sectors while reducing content production costs [9]. Group 3: Performance Comparison - ByteDance claims that Seedance 2.0 significantly outperforms competitors like OpenAI's Sora 2 Pro and Kuaishou's Keling 3.0 in terms of stability, instruction adherence, and audio-visual synchronization [16]. - In multi-modal task performance, Seedance 2.0 excels in instruction adherence and multi-modal compliance, ranking among the top tier in the industry for editing consistency and dynamic quality [17]. - The model demonstrates strong performance in maintaining consistency in character representation and voice restoration, although there is still room for improvement in multi-character consistency and complex editing effects [18].