update README

README.md

@@ -254,7 +254,11 @@ torchrun --nproc_per_node=$N_INFERENCE_GPU generate.py \
 > ```bash
 > export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True,max_split_size_mb:128
 > ```
-
+> 
+> **Tips:** If you have limited CPU memory and encounter OOM during inference, you can try disable overlapped group offloading by adding the following argument:
+> ```bash
+> --overlap_group_offloading false
+> ```
 
 
 ### Command Line Arguments
@@ -300,8 +304,8 @@ The following table provides the optimal inference configurations (CFG scale, em
 | 480p I2V CFG Distilled | 1 | None | 5 | 50 |
 | 720p T2V CFG Distilled | 1 | None | 9 | 50 |
 | 720p I2V CFG Distilled | 1 | None | 7 | 50 |
-| 720p T2V CFG Distilled Sparse | 1 | None | 7 | 50 |
-| 720p I2V CFG Distilled Sparse | 1 | None | 9 | 50 |
+| 720p T2V CFG Distilled Sparse | 1 | None | 9 | 50 |
+| 720p I2V CFG Distilled Sparse | 1 | None | 7 | 50 |
 | 480→720 SR Step Distilled | 1 | None | 2 | 6 |
 | 720→1080 SR Step Distilled | 1 | None | 2 | 8 |
 

README_CN.md

@@ -241,6 +241,11 @@ torchrun --nproc_per_node=$N_INFERENCE_GPU generate.py \
 > ```bash
 > export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True,max_split_size_mb:128
 > ```
+> 
+> **Tips:** 如果您有 CPU 内存有限并且遇到推理时的 OOM 错误，可以尝试禁用重叠组卸载，通过添加以下参数：
+> ```bash
+> --overlap_group_offloading false
+> ```
 
 ### 命令行参数
 
@@ -285,8 +290,8 @@ torchrun --nproc_per_node=$N_INFERENCE_GPU generate.py \
 | 480p I2V cfg 蒸馏 | 1 | None | 5 | 50 |
 | 720p T2V cfg 蒸馏 | 1 | None | 9 | 50 |
 | 720p I2V cfg 蒸馏 | 1 | None | 7 | 50 |
-| 720p T2V cfg 蒸馏稀疏 | 1 | None | 7 | 50 |
-| 720p I2V cfg 蒸馏稀疏 | 1 | None | 9 | 50 |
+| 720p T2V cfg 蒸馏稀疏 | 1 | None | 9 | 50 |
+| 720p I2V cfg 蒸馏稀疏 | 1 | None | 7 | 50 |
 | 480→720 超分 步数蒸馏 | 1 | None | 2 | 6 |
 | 720→1080 超分 步数蒸馏 | 1 | None | 2 | 8 |