feat: add community works LeMiCa

README.md

@@ -59,16 +59,12 @@ HunyuanVideo-1.5 is a video generation model that delivers top-tier quality with
 If you develop/use HunyuanVideo-1.5 in your projects, welcome to let us know.
 
 - **Diffusers** - [HunyuanVideo-1.5 Diffusers](https://huggingface.co/collections/hunyuanvideo-community/hunyuanvideo-15): Official Hugging Face Diffusers integration for HunyuanVideo-1.5. Easily use HunyuanVideo-1.5 with the Diffusers library for seamless integration into your projects. See [Usage with Diffusers](#usage-with-diffusers) section for details.
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 - **ComfyUI** - [ComfyUI](https://github.com/comfyanonymous/ComfyUI): A powerful and modular diffusion model GUI with a graph/nodes interface. ComfyUI supports HunyuanVideo-1.5 with various engineering optimizations for fast inference. We provide a [ComfyUI Usage Guide](./ComfyUI/README.md) for HunyuanVideo-1.5.
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 - **Community-implemented ComfyUI Plugin** - [comfyui_hunyuanvideo_1.5_plugin](https://github.com/yuanyuan-spec/comfyui_hunyuanvideo_1.5_plugin): A community-implemented ComfyUI plugin for HunyuanVideo-1.5, offering both simplified and complete node sets for quick usage or deep workflow customization, with built-in automatic model download support.
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 - **LightX2V** - [LightX2V](https://github.com/ModelTC/LightX2V): A lightweight and efficient video generation framework that integrates HunyuanVideo-1.5, supporting multiple engineering acceleration techniques for fast inference.
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 - **Wan2GP v9.62** - [Wan2GP](https://github.com/deepbeepmeep/Wan2GP): WanGP is a very low VRAM app (as low 6 GB of VRAM for Hunyuan Video 1.5) supports Lora Accelerator for a 8 steps generation and offers tools to facilitate Video Generation.
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 - **ComfyUI-MagCache** - [ComfyUI-MagCache](https://github.com/Zehong-Ma/ComfyUI-MagCache): MagCache is a training-free caching approach that accelerates video generation by estimating fluctuating differences among model outputs across timesteps. It achieves 1.7x speedup for HunyuanVideo-1.5 with 20 inference steps.
+- **LeMiCa** - [LeMiCa](https://github.com/UnicomAI/LeMiCa): A training-free caching acceleration framework proposed by the Data Science & Artificial Intelligence Research Institute of China Unicom, featuring DAG-based globally optimal modeling. LeMiCa offers adjustable speedup options for HunyuanVideo-1.5, delivering up to 2.9× (T2V) and 3.9× (I2V) faster inference. See [LeMiCa4HunyuanVideo1.5](https://github.com/UnicomAI/LeMiCa/tree/main/LeMiCa4HunyuanVideo1.5) for details. 
 
 
 ## 📑 Open-source Plan

README_CN.md

@@ -3,7 +3,6 @@
 # HunyuanVideo-1.5
 
 <div align="center">
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 <img src="./assets/logo.png" alt="HunyuanVideo-1.5 Logo" width="80%">
 
 # 🎬 HunyuanVideo-1.5: 一款领先的轻量级视频生成模型
@@ -68,6 +67,8 @@ HunyuanVideo-1.5作为一款轻量级视频生成模型，仅需83亿参数即
 
 - **ComfyUI-MagCache** - [ComfyUI-MagCache](https://github.com/Zehong-Ma/ComfyUI-MagCache): MagCache 是一种无需训练的缓存方法，通过估计模型输出在不同时间步之间的波动差异来加速视频生成。在 20 步推理下，可为 HunyuanVideo-1.5 实现 1.7 倍加速。
 
+- **LeMiCa** - [LeMiCa](https://github.com/UnicomAI/LeMiCa): 中国联通数据科学与人工智能研究院提出的一种无需训练、全局最优建模的缓存加速框架。LeMiCa 可为 HunyuanVideo-1.5 提供多档可调加速配置，最高可实现 2.9×(T2V) 与 3.9×(I2V) 的推理加速。详情请参阅[LeMiCa4HunyuanVideo1.5](https://github.com/UnicomAI/LeMiCa/tree/main/LeMiCa4HunyuanVideo1.5)。
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 ## 📑 开源计划
 - HunyuanVideo-1.5 (文生视频/图生视频)