Seedance 1.0 is a high-performance video foundation model developed by ByteDance's Seed team. Unveiled in June 2025, the model supports high-fidelity text-to-video and image-to-video generation, capable of producing 1080p clips with smooth motion and cinematic aesthetics. It is particularly noted for its native multi-shot generation capabilities, which allow for cohesive storytelling and subject consistency across scene transitions.
The model utilizes a Diffusion Transformer (DiT) architecture featuring decoupled spatial and temporal layers and a Temporally-Causal Variational Autoencoder (VAE) for efficient compression. Seedance 1.0 emphasizes inference efficiency, leveraging multi-stage distillation to achieve a reported 10x speedup over standard foundational video models. This allows it to generate complex 5-second 1080p clips in under 15 seconds on professional-grade hardware.
To ensure high-quality motion and prompt adherence, ByteDance employed specialized post-training techniques, including supervised fine-tuning (SFT) and RLHF (Reinforcement Learning from Human Feedback) with multi-dimensional reward models. These rewards focus on physical stability, visual artifacts, and aesthetic appeal. The model is available in various versions, including Pro and Lite variants, catering to different requirements for resolution and generation speed.