ConsisID is a frequency decomposition-based identity-preserving text-to-video generation model that generates high-fidelity videos consistent with the input textual descriptions using identity control signals in the frequency domain. This model does not require tedious fine-tuning for different cases and is capable of maintaining consistency in character identity within the generated videos. The introduction of ConsisID advances video generation technology, particularly in terms of streamlined processes and frequency-aware identity preservation control schemes.