The ByteDance Seed team has published a technical paper introducing Seedance 2.0, offering an in-depth look at the key features and performance metrics of its multimodal video generation model. Launched in early February of this year, this model has been seamlessly integrated into platforms like Doubao and is also available in an accelerated version tailored to meet low-latency demands. Compared to its earlier iteration, Seedance 2.0 marks a significant advancement, transitioning from generating brief video snippets to enabling controllable video synthesis. It natively supports four different input modalities. Performance evaluations reveal that Seedance 2.0 outperforms competitors, securing the top spot in most metrics across all facets of three major tasks: text-to-video, image-to-video, and reference-based video generation. The model is distinguished by four core strengths: its ability to generate videos with real-world complexity, its robust multimodal capabilities, its capacity for high-fidelity audio-video generation, and its applicability in productivity-focused scenarios. However, the paper refrains from disclosing intricate details about the model's architecture or training procedures. Furthermore, the evaluation data is accurate as of early April 2026 and does not account for any new entrants in the field. It's also worth noting that Seedance 2.0 still faces certain challenges.