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🔥[DiTFastAttn] DiTFastAttn: Attention Compression for Diffusion Transformer Models (#1)
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|2024.07|🔥[**ElasticCache-LVLM**] Efficient Inference of Vision Instruction-Following Models with Elastic Cache(@Tsinghua University etc)|[[pdf]](https://arxiv.org/pdf/2407.18121)|[[ElasticCache]](https://github.com/liuzuyan/ElasticCache) ![](https://img.shields.io/github/stars/liuzuyan/ElasticCache.svg?style=social)|⭐️ |
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|2024.07| 🔥🔥[**Fast-Forward Caching(DiT)**] FORA: Fast-Forward Caching in Diffusion Transformer Acceleration(@microsoft.com etc) | [[pdf]](https://arxiv.org/pdf/2407.01425) | [[FORA]](https://github.com/prathebaselva/FORA) ![](https://img.shields.io/github/stars/prathebaselva/FORA.svg?style=social)|⭐️⭐️ |
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|2024.07| 🔥🔥[**Faster I2V Generation**] Faster Image2Video Generation: A Closer Look at CLIP Image Embedding’s Impact on Spatio-Temporal Cross-Attentions(@Ashkan Taghipour etc)|[[pdf]](https://arxiv.org/pdf/2407.19205) |⚠️|⭐️⭐️ |
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|2024.06| 🔥[**DiTFastAttn**] DiTFastAttn: Attention Compression for Diffusion Transformer Models(@Zhihang Yuan etc)|[[pdf]](https://arxiv.org/pdf/2406.08552) | [[DiTFastAttn]](https://github.com/thu-nics/DiTFastAttn) ![](https://img.shields.io/github/stars/thu-nics/DiTFastAttn.svg?style=social)|⭐️⭐️ |
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## 📙Awesome SD Distributed Inference with Multi-GPUs
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