<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[个人笔记仅供本人查阅参考]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/xi_shui</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; xi_shui]]></copyright><item><title><![CDATA[【Agent】入门资料]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/170144504</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/170144504</guid><author>xi_shui</author><pubDate>Thu, 05 Nov 2026 16:44:37 +0800</pubDate><description><![CDATA[DeepAgents 是 LangChain  中的高级智能体框架，支持通过技能（Skills）实现复杂任务的自动化。]]></description><category></category></item><item><title><![CDATA[【模型】MiniMax-H3 多模态参考视频生成]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/163891663</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/163891663</guid><author>xi_shui</author><pubDate>Wed, 19 Aug 2026 17:07:30 +0800</pubDate><description><![CDATA[文章摘要： 该文档介绍了DiffSynth-Studio中MiniMax-H3模型的显存配置和多模态参考模型的权重大小。显存配置使用A800 75G显卡，采用bfloat16数据类型在CPU和CUDA之间分配计算任务。多模态参考模型包含多个组件，其中text_encoder和transformer占主要存储空间（分别为63G和62G）。此外，文档提供了音频处理工具代码，支持音频文件的读取、单/双声道转换和重采样功能，支持torchaudio和torchcodec两种后端。关键函数包括read_audio、c]]></description><category></category></item><item><title><![CDATA[【T2I】可控性AIGC图片训练验证]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/157510732</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/157510732</guid><author>xi_shui</author><pubDate>Thu, 29 Jan 2026 15:34:15 +0800</pubDate><description><![CDATA[AIGC可控性训练]]></description><category></category></item><item><title><![CDATA[【配置】FFmpeg配置环境ubuntu踩坑记录。]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/156615223</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/156615223</guid><author>xi_shui</author><pubDate>Mon, 05 Jan 2026 20:06:32 +0800</pubDate><description><![CDATA[【代码】【配置】FFMPEG。]]></description><category></category></item><item><title><![CDATA[【PID】测试小程序]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/155273119</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/155273119</guid><author>xi_shui</author><pubDate>Wed, 26 Nov 2025 14:41:54 +0800</pubDate><description><![CDATA[【代码】【PID】测试小程序。]]></description><category></category></item><item><title><![CDATA[【Hadoop】hive提取表头与数据到csv]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/149715490</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/149715490</guid><author>xi_shui</author><pubDate>Mon, 28 Jul 2025 14:18:51 +0800</pubDate><description><![CDATA[这段代码展示了如何使用Hive命令提取表结构和数据。首先用DESCRIBE获取表头信息并通过awk和paste处理成CSV格式，然后使用SELECT查询前100条数据并用sed将制表符替换为逗号追加到文件。最终生成包含表头和样本数据的CSV文件。]]></description><category></category></item><item><title><![CDATA[【模型】llama factory vllm]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/145713136</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/145713136</guid><author>xi_shui</author><pubDate>Tue, 18 Feb 2025 19:29:33 +0800</pubDate><description><![CDATA[【代码】【模型】llama factory vllm。]]></description><category></category></item><item><title><![CDATA[【模型】qwen-vl]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/145283524</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/145283524</guid><author>xi_shui</author><pubDate>Tue, 21 Jan 2025 14:47:02 +0800</pubDate><description><![CDATA[Qwen-vl模型]]></description><category></category></item><item><title><![CDATA[【模型】vllm qwen2-vl]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/145261650</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/145261650</guid><author>xi_shui</author><pubDate>Mon, 20 Jan 2025 14:10:21 +0800</pubDate><description><![CDATA[【代码】【模型】vllmqwen2-vl。]]></description><category></category></item><item><title><![CDATA[【模型】VLM文献]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/145168398</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/145168398</guid><author>xi_shui</author><pubDate>Wed, 15 Jan 2025 21:19:55 +0800</pubDate><description><![CDATA[ICML24 | VLM细粒度图文对齐：局部区域匹配优于整体图像
2024年美团技术年货]]></description><category></category></item><item><title><![CDATA[【llama_factory】qwen2_vl训练与批量推理]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/145166997</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/145166997</guid><author>xi_shui</author><pubDate>Wed, 15 Jan 2025 20:09:27 +0800</pubDate><description><![CDATA[llama factory 微调qwen2-vl与批量推理]]></description><category></category></item><item><title><![CDATA[【模型】Qwen2-VL 服务端UI]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/144913728</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/144913728</guid><author>xi_shui</author><pubDate>Fri, 03 Jan 2025 16:44:27 +0800</pubDate><description><![CDATA[【代码】【模型】Qwen2-VL 服务端UI。]]></description><category></category></item><item><title><![CDATA[【环境】pip清华源]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/144748279</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/144748279</guid><author>xi_shui</author><pubDate>Thu, 26 Dec 2024 16:47:40 +0800</pubDate><description><![CDATA[清华源]]></description><category></category></item><item><title><![CDATA[【环境】FastAttention2配置]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/144508722</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/144508722</guid><author>xi_shui</author><pubDate>Mon, 16 Dec 2024 14:47:01 +0800</pubDate><description><![CDATA[选择flash_attn-2.7.0.post1+cu12torch2.5cxx11abiFALSE-cp310-cp310-linux_x86_64.whl。最好是cxx11abiFALSE否则会报错。在线安装报错误，于是决定离线安装。查看环境各安装包的版本。找到对应的whl文件。]]></description><category></category></item><item><title><![CDATA[【Python】python实现字幕特效]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/144420268</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/144420268</guid><author>xi_shui</author><pubDate>Thu, 12 Dec 2024 10:50:20 +0800</pubDate><description><![CDATA[主要是利用了ASS文件标签的特性，对每一句字幕加入动作、样式。]]></description><category></category></item><item><title><![CDATA[【Python】获取字幕不同字体行宽度与高度]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/144354252</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/144354252</guid><author>xi_shui</author><pubDate>Mon, 09 Dec 2024 17:58:27 +0800</pubDate><description><![CDATA[【代码】【Python】获取字幕不同字体行宽度与高度。]]></description><category></category></item><item><title><![CDATA[【Python】numpy编程细节]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/144293866</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/144293866</guid><author>xi_shui</author><pubDate>Fri, 06 Dec 2024 15:41:46 +0800</pubDate><description><![CDATA[【代码】【Python】编程细节。]]></description><category></category></item><item><title><![CDATA[【工具】git 服务器与本地代码同步]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/144291296</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/144291296</guid><author>xi_shui</author><pubDate>Fri, 06 Dec 2024 14:15:49 +0800</pubDate><description><![CDATA[之前一直是本地修改完代码，上传到服务器测试，服务器报错，然后本地修改在重新上传。今天突然发现，通过git可以很方便。]]></description><category></category></item><item><title><![CDATA[【壁纸】高清壁纸]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/144082546</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/144082546</guid><author>xi_shui</author><pubDate>Wed, 27 Nov 2024 14:05:32 +0800</pubDate><description><![CDATA[变形金刚]]></description><category></category></item><item><title><![CDATA[【环境】vs ffmpeg c++]]></title><link>https://blog.youkuaiyun.com/xi_shui/article/details/143816646</link><guid>https://blog.youkuaiyun.com/xi_shui/article/details/143816646</guid><author>xi_shui</author><pubDate>Sat, 16 Nov 2024 14:10:20 +0800</pubDate><description><![CDATA[visual studio集成使用FFmpeg]]></description><category></category></item></channel></rss>