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2 changes: 1 addition & 1 deletion README.md
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- [🎯 Supported DiTs](#support-dits)
- [📈 Performance](#perf)
- [HunyuanVideo](#perf_hunyuanvideo)
- [Mochi-1](#perf_mochi1)
- [ConsisID](#perf_consisid)
- [Mochi-1](#perf_mochi1)
- [CogVideoX](#perf_cogvideox)
- [Flux.1](#perf_flux)
- [HunyuanDiT](#perf_hunyuandit)
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Expand Up @@ -26,4 +26,4 @@ As shown in the table, the ConsisID model achieves a significant reduction in in

Learn more about ConsisID with the following resources.
- A [video](https://www.youtube.com/watch?v=PhlgC-bI5SQ) demonstrating ConsisID's main features.
- The research paper, [Identity-Preserving Text-to-Video Generation by Frequency Decomposition](https://hf.co/papers/2411.17440) for more details.
- The research paper, [Identity-Preserving Text-to-Video Generation by Frequency Decomposition](https://hf.co/papers/2411.17440) for more details.
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| 2 | 2 | 1 | 1 | 76.56s |
| 2 | 1 | 1 | 2 | 59.72s |
| 1 | 1 | 1 | 1 | 114.87s |

## Resources

通过以下资源了解有关 ConsisID 的更多信息:

- 一段 [视频](https://www.youtube.com/watch?v=PhlgC-bI5SQ) 演示了 ConsisID 的主要功能;
- 有关更多详细信息,请参阅研究论文 [Identity-Preserving Text-to-Video Generation by Frequency Decomposition](https://hf.co/papers/2411.17440)。