UniCtrl can address potential biases present in underlying diffusion models by ensuring consistency and control over the generated content. By improving spatiotemporal consistency and motion diversity, UniCtrl helps mitigate biases that may be inherent in the underlying models. The cross-frame unified attention control method implemented in UniCtrl ensures semantic consistency across different frames of generated videos, reducing the likelihood of biased or inconsistent outputs. Additionally, by incorporating motion injection and spatiotemporal synchronization, UniCtrl enhances the quality of generated videos while maintaining balance between motion dynamics and semantic information. This comprehensive approach helps counteract any biases that may exist in the underlying diffusion models.