update

Dockerfile

-FROM image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.3.0-ubuntu22.04-dtk24.04.3-py3.10
\ No newline at end of file
+FROM image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.5.1-ubuntu22.04-dtk25.04.2-py3.10

README.md

@@ -22,7 +22,7 @@
 
 ### Docker（方法一）
     
-    docker pull image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.3.0-ubuntu22.04-dtk24.04.3-py3.10
+    docker pull image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.5.1-ubuntu22.04-dtk25.04.2-py3.10
 
     docker run --shm-size 100g --network=host --name=hunyuanvideo_i2v --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v 项目地址(绝对路径):/home/ -v /opt/hyhal:/opt/hyhal:ro -it <your IMAGE ID> bash
 
@@ -53,17 +53,12 @@
 1、关于本项目DCU显卡所需的特殊深度学习库可从光合开发者社区下载安装： https://developer.sourcefind.cn/tool/
 
 ```
-DTK驱动:dtk24.04.3
+DTK驱动:dtk25.04.2
 python:python3.10
-torch:2.3.0
-torchvision:0.18.1
-torchaudio:2.1.2
-triton:2.1.0
-flash-attn:2.6.1
-deepspeed:0.14.2
-apex:1.3.0
-xformers:0.0.25
-transformers:4.48.0
+torch:2.5.1
+torchvision:0.20.1
+apex:1.5.0
+transformers:4.39.3
 ```
 
 2、其他非特殊库直接按照requirements.txt安装
@@ -183,7 +178,7 @@ python3 sample_image2video.py \
 
 ### 精度
 
-无
+DCU与GPU精度一致，推理框架：transformers。
 
 ## 应用场景
 

modified/fix.sh

 #!/bin/bash
 
-cp modified/config.py /usr/local/lib/python3.10/site-packages/xfuser/config/
+cp modified/config.py /usr/local/lib/python3.10/dist-packages/xfuser/config/
 
-cp modified/envs.py /usr/local/lib/python3.10/site-packages/xfuser/
+cp modified/envs.py /usr/local/lib/python3.10/dist-packages/xfuser/