update README.md

README.md

+# Wan2.1-14B-480P-INT8-Lightx2v
+
+## 项目简介
+
+基于 Lightx2v 组件实现 Wan2.1-14B-480P-INT8 模型推理部署
+
+---
+
+## 环境部署
+
+### 1. 拉取镜像
+
+```bash
+docker pull harbor.sourcefind.cn:5443/dcu/admin/base/vllm:0.11.0-ubuntu22.04-dtk25.04.2-1226-das1.7-py3.10-20251226
+```
+
+### 2. 创建容器
+
+```bash
+docker run -dit \
+  --name Wan2_1_Lightx2v \
+  --network=host \
+  --ipc=host \
+  --shm-size=256G \
+  --group-add video \
+  --cap-add=SYS_PTRACE \
+  --device /dev/kfd \
+  --device /dev/dri \
+  -v /opt/hyhal:/opt/hyhal:ro \
+  -v $(pwd):/workspace \
+  -w /workspace \
+  --privileged \
+  -u root \
+  --ulimit stack=-1:-1 \
+  --ulimit memlock=-1:-1 \
+  --security-opt seccomp=unconfined \
+  harbor.sourcefind.cn:5443/dcu/admin/base/vllm:0.11.0-ubuntu22.04-dtk25.04.2-1226-das1.7-py3.10-20251226 \
+  /bin/bash
+```
+
+进入容器
+```bash
+docker exec -it Wan2_1_Lightx2v bash
+```
+
+---
+
+## 测试步骤
+
+### 1. 拉取代码&安装
+
+```bash
+git clone http://developer.sourcefind.cn/codes/bw-bestperf/wan2.1-14b-480p-int8-lightx2v.git
+cd wan2.1-14b-480p-int8-lightx2v
+pip install -v . -i https://pypi.tuna.tsinghua.edu.cn/simple
+pip install numpy==1.25.0
+```
+
+### 2. 获取&安装定制依赖
+
+```bash
+# flash_attn
+curl -f -C - -o flash_attn-2.6.1+das.opt1.dtk25044-cp310-cp310-manylinux_2_28_x86_64.whl https://ksefile.hpccube.com:65241/efile/s/d/bGl0emg=/19aeccd37c82cb66  
+# torch
+curl -f -C - -o torch-2.5.1+das.opt1.dtk25042.20260114.g7b1e7e04-cp310-cp310-manylinux_2_28_x86_64.whl https://ksefile.hpccube.com:65241/efile/s/d/bGl0emg=/a7d181806c7829e1  
+# lmslim
+curl -f -C - -o lmslim-0.3.1+das.opt2.bc977a7.dtk25042-cp310-cp310-linux_x86_64.whl https://ksefile.hpccube.com:65241/efile/s/d/bGl0emg=/3de9e867ee5f7014  
+```
+
+### 3. 下载优化包
+
+```bash
+# hipblaslt
+curl -f -C - -o hipblaslt.tar.gz https://ksefile.hpccube.com:65241/efile/s/d/bGl0emg=/060c023d2a62ec6f  
+# 解压到指定路径
+tar -xzvf hipblaslt.tar.gz -C /path/to/hipblaslt
+```
+
+
+### 4. 下载模型
+
+安装 ModelScope
+
+```bash
+pip install modelscope
+```
+
+下载所需模型
+
+```bash
+# Wan2.1 过滤不需要的 dit_fp32 权重
+modelscope download --model 'Wan-AI/Wan2.1-I2V-14B-480P' --exclude '*.safetensors' --local_dir 'path/to/models'
+
+# 下载 dit_int8 权重
+curl -f -C - -o wan2.1_i2v_480p_int8_lightx2v.safetensors https://ksefile.hpccube.com:65241/efile/s/d/bGl0emg=/ea72503e06c25ddb
+# 移动到指定路径
+mv wan2.1_i2v_480p_int8_lightx2v.safetensors path/to/models
+```
+
+---
+
+## 测试脚本（8卡）
+
+脚本位于 `wan2.1-14b-480p-int8-lightx2v/scripts/platforms/hygon_dcu/run_wan21_i2v_int8.sh`, 注意指定项目路径 `lightx2v_path` 和模型权重文件路径 `model_path`
+
+```bash
+#!/bin/bash
+# System management interface: hy-smi
+export PLATFORM=hygon_dcu
+
+# Set paths
+# 项目路径
+lightx2v_path=/workspace/wan2.1-14b-480p-int8-lightx2v
+# 模型下载路径
+model_path=path/to/models
+
+# Set HIP devices for 8 GPUs
+export HIP_VISIBLE_DEVICES=0,1,2,4,5,6,7
+
+# Set environment variables
+source ${lightx2v_path}/scripts/base/base.sh
+
+torchrun --nproc_per_node=8 -m lightx2v.infer \
+--model_cls wan2.1 \
+--task i2v \
+--model_path $model_path \
+--config_json ${lightx2v_path}/configs/platforms/hygon_dcu/wan_i2v_int8.json \
+--prompt "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside." \
+--negative_prompt "镜头晃动，色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得
+不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走" \
+--image_path ${lightx2v_path}/assets/inputs/imgs/img_0.jpg \
+--save_result_path ${lightx2v_path}/save_results/output_lightx2v_wan_i2v_int8.mp4
+```
+
+模型配置文件 `wan2.1-14b-480p-int8-lightx2v/configs/platforms/hygon_dcu/wan_i2v_int8.json`, 注意指定dit_int8模型权重路径 `dit_quantized_ckpt`
+
+```bash
+{
+    "infer_steps": 40,
+    "target_video_length": 81,
+    "target_height": 480,
+    "target_width": 832,
+    "self_attn_1_type": "flash_attn_hygon_dcu",
+    "cross_attn_1_type": "flash_attn_hygon_dcu",
+    "cross_attn_2_type": "flash_attn_hygon_dcu",
+    "sample_guide_scale": 5.0,
+    "sample_shift": 5.0,
+    "enable_cfg": true,
+    "cpu_offload": false,
+    "modulate_type": "torch",
+    "rope_type": "torch",
+    "layer_norm_type": "torch",
+    "rms_norm_type": "torch",
+    "dit_quantized": true,
+    "dit_quant_scheme": "int8-vllm-hygon-dcu",
+   "dit_quantized_ckpt": "/path/to/models/wan2.1_i2v_480p_int8_lightx2v.safetensors"
+}
+```
+
+启动指令
+
+```bash
+cd wan2.1-14b-480p-int8-lightx2v
+export LD_LIBRARY_PATH=/path/to/hipblaslt/lib/:$LD_LIBRARY_PATH
+export USE_SLA=1
+export SPARSE_ATTN_TOPK=0.4
+
+bash scripts/platforms/hygon_dcu/run_wan21_i2v_int8.sh
+```
+
+---
+
+## 贡献指南
+
+欢迎对 wan2.1-14b-480p-int8-lightx2v 项目进行贡献！请遵循以下步骤：
+
+1. Fork 本仓库，并新建分支进行功能开发或问题修复。
+2. 提交规范的 commit 信息，描述清晰。
+3. 提交 Pull Request，简述修改内容及目的。
+4. 遵守项目代码规范和测试标准。
+5. 参与代码评审，积极沟通改进方案。
+
+---
+
+## 许可证
+
+本项目遵循 Apache 2.0 许可证，详见 [LICENSE](./LICENSE) 文件。
+
+---
+
+感谢您的关注与支持！如有问题，欢迎提交 Issue 或联系维护团队。