Add mlu dockerfile

[Wq-dd]

1. 增加mlu dockerfile
2. 增加dockerfile保存目录

[gemini-code-assist]

Summary of Changes

Hello @Wq-dd, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

此拉取请求通过添加一个专用的Dockerfile来引入对Cambricon MLU（机器学习单元）的支持。此外，它还将所有现有的Dockerfile文件重新组织到一个新的 dockerfiles 目录中，从而改进了项目的结构和可维护性。这一更改旨在扩展硬件兼容性并简化Dockerfile的管理。

Highlights

• 新增MLU Dockerfile支持: 引入了一个新的Dockerfile (dockerfiles/Dockerfile_cambricon_mlu590)，旨在为Cambricon MLU (机器学习单元) 硬件提供支持，特别是针对PyTorch环境。
• Dockerfile目录重组: 将所有现有的Dockerfile文件移动到一个新的 dockerfiles/ 目录中，以提高项目结构清晰度和可维护性。

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[gemini-code-assist]

Code Review

本次 PR 主要增加了针对寒武纪 MLU 的 Dockerfile，并将所有 Dockerfile 移动到了 dockerfiles 目录下，使项目结构更清晰。

我对新的 dockerfiles/Dockerfile_cambricon_mlu590 文件进行了一些审查，并提出了一些改进建议，主要集中在 Dockerfile 的最佳实践上，例如合并 RUN 指令以减少镜像层数、优化 apt-get 命令等。这些改动有助于减小最终镜像的体积并提高构建效率。

整体来看，这是一个不错的改进，有助于支持新的硬件平台。

[gemini-code-assist]

为了减少 Docker 镜像的层数、减小镜像体积并遵循最佳实践，建议将多个 RUN 指令合并。此外，apt install 应替换为 apt-get update && apt-get install -y --no-install-recommends，以确保获取最新的包索引、在非交互式构建中自动确认，并避免安装非必需的推荐包。安装后清理 apt 缓存也是一个好习惯。

RUN apt-get update && apt-get install -y --no-install-recommends ffmpeg && \
    pip install --no-cache-dir \
    ftfy \
    imageio \
    imageio-ffmpeg \
    loguru \
    aiohttp \
    gguf \
    diffusers \
    peft==0.17.0 \
    transformers==4.57.1 && \
    rm -rf /var/lib/apt/lists/*

[gemini-code-assist]

WORKDIR 指令会自动创建其指定的目录（如果不存在）。因此，可以省略 RUN mkdir 指令，使 Dockerfile 更简洁。

WORKDIR /workspace/LightX2V