chore: add cache-dit tech report

Author: DefTruth

README.md

@@ -18,7 +18,7 @@
   <img src=https://github.com/vipshop/cache-dit/raw/main/assets/arch_v2.png width=815px>
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-Cache-DiT is compatible with compilation, CPU Offloading, and quantization, fully integrates with [SGLang Diffusion](https://docs.sglang.io/diffusion/performance/cache/cache_dit.html), [vLLM-Omni](https://docs.vllm.ai/projects/vllm-omni/en/latest/user_guide/diffusion/cache_acceleration/cache_dit/), [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM/pull/12548), ComfyUI, and runs natively on NVIDIA GPUs, Ascend NPUs and AMD GPUs. Cache-DiT is **fast**, **easy to use**, and **flexible** for various DiTs (online docs at 📘[cache-dit.io](https://cache-dit.readthedocs.io/en/latest/)). 🎉🎉Cache-DiT's technical report is avaliable at [Cache-DiT: A Unified PyTorch-Native Inference Engine for Diffusion Transformers.](docs/papers/cache-dit-tech-report.pdf)
+Cache-DiT is compatible with compilation, CPU Offloading, and quantization, fully integrates with [SGLang Diffusion](https://docs.sglang.io/diffusion/performance/cache/cache_dit.html), [vLLM-Omni](https://docs.vllm.ai/projects/vllm-omni/en/latest/user_guide/diffusion/cache_acceleration/cache_dit/), [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM/pull/12548), ComfyUI, and runs natively on NVIDIA GPUs, Ascend NPUs and AMD GPUs. Cache-DiT is **fast**, **easy to use**, and **flexible** for various DiTs (online docs at 📘[cache-dit.io](https://cache-dit.readthedocs.io/en/latest/)). Cache-DiT's technical report paper is available at 🎉[Cache-DiT: A Unified PyTorch-Native Inference Engine for Diffusion Transformers.](docs/papers/cache-dit-tech-report.pdf)
 
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