Fix

docs/EN/source/method_tutorials/offload.md

@@ -25,15 +25,15 @@ Lightx2v implements a state-of-the-art parameter offloading mechanism specifical
 - **Phase Granularity**: Suitable for memory-constrained environments, provides more flexible memory control and optimizes resource utilization
 
 <div align="center">
-<img alt="GPU-CPU Block/Phase Offloading Workflow" src="https://github.com/ModelTC/LightX2V/tree/main/assets/figs/offload/fig1_en.png" width="75%">
+<img alt="GPU-CPU Block/Phase Offloading Workflow" src="https://raw.githubusercontent.com/ModelTC/LightX2V/main/assets/figs/offload/fig1_en.png" width="75%">
 </div>
 
 <div align="center">
-<img alt="Swap Mechanism Core Concept" src="https://github.com/ModelTC/LightX2V/tree/main/assets/figs/offload/fig2_en.png" width="75%">
+<img alt="Swap Mechanism Core Concept" src="https://raw.githubusercontent.com/ModelTC/LightX2V/main/assets/figs/offload/fig2_en.png" width="75%">
 </div>
 
 <div align="center">
-<img alt="Asynchronous Execution Flow" src="https://github.com/ModelTC/LightX2V/tree/main/assets/figs/offload/fig3_en.png" width="75%">
+<img alt="Asynchronous Execution Flow" src="https://raw.githubusercontent.com/ModelTC/LightX2V/main/assets/figs/offload/fig3_en.png" width="75%">
 </div>
 
 **Technical Features:**
@@ -53,11 +53,11 @@ Lightx2v implements a state-of-the-art parameter offloading mechanism specifical
 **Technical Principle**: Introduces disk storage layer on top of Strategy 1, constructing a Disk→CPU→GPU three-level storage architecture. CPU serves as a configurable intelligent cache pool, suitable for various memory-constrained deployment environments.
 
 <div align="center">
-<img alt="Disk-CPU-GPU Three-Level Offloading Architecture" src="https://github.com/ModelTC/LightX2V/tree/main/assets/figs/offload/fig4_en.png" width="75%">
+<img alt="Disk-CPU-GPU Three-Level Offloading Architecture" src="https://raw.githubusercontent.com/ModelTC/LightX2V/main/assets/figs/offload/fig4_en.png" width="75%">
 </div>
 
 <div align="center">
-<img alt="Complete Workflow" src="https://github.com/ModelTC/LightX2V/tree/main/assets/figs/offload/fig5_en.png" width="75%">
+<img alt="Complete Workflow" src="https://raw.githubusercontent.com/ModelTC/LightX2V/main/assets/figs/offload/fig5_en.png" width="75%">
 </div>
 
 **Execution Steps Details:**

docs/ZH_CN/source/method_tutorials/offload.md

@@ -21,15 +21,15 @@ Lightx2v 实现了先进的参数卸载机制，专为在有限硬件资源下
 **工作原理**：在 GPU 和 CPU 内存之间以block或phase为单位管理模型权重，利用 CUDA 流实现计算和数据传输的重叠。Block包含完整的Transformer层，而Phase则是Block内部的单个计算组件。
 
 <div align="center">
-<img alt="GPU-CPU block/phase卸载流程图" src="https://github.com/ModelTC/LightX2V/tree/main/assets/figs/offload/fig1_zh.png" width="75%">
+<img alt="GPU-CPU block/phase卸载流程图" src="https://raw.githubusercontent.com/ModelTC/LightX2V/main/assets/figs/offload/fig1_zh.png" width="75%">
 </div>
 
 <div align="center">
-<img alt="Swap操作" src="https://github.com/ModelTC/LightX2V/tree/main/assets/figs/offload/fig2_zh.png" width="75%">
+<img alt="Swap操作" src="https://raw.githubusercontent.com/ModelTC/LightX2V/main/assets/figs/offload/fig2_zh.png" width="75%">
 </div>
 
 <div align="center">
-<img alt="Swap思想" src="https://github.com/ModelTC/LightX2V/tree/main/assets/figs/offload/fig3_zh.png" width="75%">
+<img alt="Swap思想" src="https://raw.githubusercontent.com/ModelTC/LightX2V/main/assets/figs/offload/fig3_zh.png" width="75%">
 </div>
 
 
@@ -58,12 +58,12 @@ Lightx2v 实现了先进的参数卸载机制，专为在有限硬件资源下
 
 
 <div align="center">
-<img alt="磁盘-CPU-GPU 分block/phase卸载工作流程" src="https://github.com/ModelTC/LightX2V/tree/main/assets/figs/offload/fig4_zh.png" width="75%">
+<img alt="磁盘-CPU-GPU 分block/phase卸载工作流程" src="https://raw.githubusercontent.com/ModelTC/LightX2V/main/assets/figs/offload/fig4_zh.png" width="75%">
 </div>
 
 
 <div align="center">
-<img alt="工作步骤" src="https://github.com/ModelTC/LightX2V/tree/main/assets/figs/offload/fig5_zh.png" width="75%">
+<img alt="工作步骤" src="https://raw.githubusercontent.com/ModelTC/LightX2V/main/assets/figs/offload/fig5_zh.png" width="75%">
 </div>
 
 **关键特性：**