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Merge pull request #12 from SHYuanBest/main
add a video for TeaCache4ConsisID
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<!-- ## **TeaCache4ConsisID** -->
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# TeaCache4ConsisID
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[TeaCache](https://github.com/LiewFeng/TeaCache) can speedup [ConsisID](https://github.com/PKU-YuanGroup/ConsisID) 2x without much visual quality degradation, in a training-free manner.
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[TeaCache](https://github.com/LiewFeng/TeaCache) can speedup [ConsisID](https://github.com/PKU-YuanGroup/ConsisID) 2.1x without much visual quality degradation, in a training-free manner. The following video shows the results generated by TeaCache-ConsisID with various `rel_l1_thresh` values: 0 (original), 0.1 (1.6x speedup), 0.15 (2.1x speedup), and 0.2 (2.7x speedup).
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https://github.com/user-attachments/assets/501d71ef-0e71-4ae9-bceb-51cc18fa33d8
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## 📈 Inference Latency Comparisons on a Single H100 GPU
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@ -29,7 +31,7 @@ python3 teacache_sample_video.py \
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--output_path ./teacache_results
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```
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To generate a video with 8 GPUs, you can use the following [here](https://github.com/PKU-YuanGroup/ConsisID/tree/main/tools).
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To generate a video with 8 GPUs, you can following [here](https://github.com/PKU-YuanGroup/ConsisID/tree/main/tools).
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## Resources
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