告别繁琐！Blender 玲珑管理器为 Linux 开启 CUDA 渲染超能力
<p><img class="alignnone size-full wp-image-37850" src="https://www.deepin.org/wp-content/uploads/2025/11/1105_副本.png" alt="" width="900" height="383" srcset="https://www.deepin.org/wp-content/uploads/2025/11/1105_副本.png 900w, https://www.deepin.org/wp-content/uploads/2025/11/1105_副本-300x128.png 300w, https://www.deepin.org/wp-content/uploads/2025/11/1105_副本-150x64.png 150w, https://www.deepin.org/wp-content/uploads/2025/11/1105_副本-768x327.png 768w, https://www.deepin.org/wp-content/uploads/2025/11/1105_副本-24x10.png 24w, https://www.deepin.org/wp-content/uploads/2025/11/1105_副本-36x15.png 36w, https://www.deepin.org/wp-content/uploads/2025/11/1105_副本-48x20.png 48w" sizes="(max-width: 900px) 100vw, 900px" /></p><p data-pm-slice="0 0 []">谁没在 Linux 上折腾Blender CUDA 渲染的时候遇到过三大魔咒：</p>
<ul class="list-paddingleft-1">
<li>
<p data-pm-slice="0 0 []">驱动冲突： NVIDIA 官方 .run 包与系统预装驱动冲突；</p>
</li>
<li>
<p data-pm-slice="0 0 []">依赖地狱： 配置相互匹配的 CUDA/GCC 环境依赖，步骤复杂冗余，高风险；</p>
</li>
<li>
<p data-pm-slice="0 0 []">门槛劝退： 纯命令行操作，新手零容错率。</p>
</li>
</ul>
<p>好不容易到最后，可能还越调越崩......</p>
<p>现在不用愁了！如意玲珑社区与 Blender 中国社区联手推出“Blender 玲珑管理器”项目，从 “配置” 这个最头疼的痛点切入，再解决命令行恐惧，给 Linux 3D 创作者一套真正能用的 “一站式加速方案”。</p>
<p> </p>
<p data-pm-slice="0 0 []">它具有能够让你从“折腾地狱”到“高效渲染”的 4 大核心机制：</p>
<ul class="list-paddingleft-1">
<li>
<p data-pm-slice="0 0 []">驱动兼容保障</p>
</li>
</ul>
<p data-pm-slice="0 0 []">本方案彻底规避高风险的 NVIDIA 官方 CUDA .run 包安装方式，明确兼容 apt 仓库或系统预装的 NVIDIA 驱动，彻底规避驱动冲突风险。</p>
<ul class="list-paddingleft-1">
<li>
<p data-pm-slice="0 0 []">依赖环境一站式部署</p>
</li>
</ul>
<p data-pm-slice="0 0 []">用户通过“Blender 玲珑管理器”一键安装，即可自动配齐 CUDA 与 GCC 等环境依赖，彻底消除运行库版本困扰与手动配置。</p>
<ul class="list-paddingleft-1">
<li>
<p data-pm-slice="0 0 []">零命令行封装的图形化操作</p>
</li>
</ul>
<p data-pm-slice="0 0 []">全程通过 deepin 25 应用商店搜索并安装管理器，实现零命令行依赖。仅需点击确认，新手小白也能轻松上手，彻底消除对“命令行”操作的恐惧。</p>
<ul class="list-paddingleft-1">
<li>
<p data-pm-slice="0 0 []">加速效果的机制性保障</p>
</li>
</ul>
<p data-pm-slice="0 0 []">只要 NVIDIA 显卡在官方 CUDA 支持列表中，高性能渲染加速效果就能得到充分、可靠的发挥。</p>
<p><span data-pm-slice="1 1 ["para",{"tagName":"p","attributes":{"style":"-webkit-tap-highlight-color: transparent;margin: 0px 0px 16px;padding: 0px;outline: 0px;max-width: 100%;clear: both;min-height: 1em;color: rgba(0, 0, 0, 0.9);font-family: \"PingFang SC\", system-ui, -apple-system, BlinkMacSystemFont, \"Helvetica Neue\", \"Hiragino Sans GB\", \"Microsoft YaHei UI\", \"Microsoft YaHei\", Arial, sans-serif;font-size: 17px;font-style: normal;font-variant-ligatures: normal;font-variant-caps: normal;font-weight: 400;letter-spacing: 0.544px;orphans: 2;text-align: justify;text-indent: 0px;text-transform: none;widows: 2;word-spacing: 0px;-webkit-text-stroke-width: 0px;white-space: normal;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;background-color: rgb(255, 255, 255);line-height: 1.6em;visibility: visible;box-sizing: border-box !important;overflow-wrap: break-word !important;"},"namespaceURI":"http://www.w3.org/1999/xhtml"}]">接下来，我们就为大家分享详细的使用及配置过程。</span></p>
<section class="channels_iframe_wrp">
<div class="wx-root common-webchat">
<div class="wxw_wechannel_card appmsg_card_channel appmsg_card_context js_wechannel_video_card wx_tap_card wx_card_root wxw_wechannel_card_horizontal common-webchat" tabindex="0" title="轻点两下前往视频号" role="option">
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<div class="wxw_wechannel_card_ft weui-flex">
<div class="wxw_wechannel_profile weui-flex">
<div class="wxw_wechannel_nickname js_wx_tap_highlight">https://www.bilibili.com/video/BV1w91sBpEUe/</div>
</div>
</div>
</div>
</div>
</div>
</section>
<div></div>
<p> </p>
<p> </p>
<h1><strong>一、前置准备</strong></h1>
<section class="channels_iframe_wrp">
<div class="wx-root common-webchat">
<div class="wxw_wechannel_card appmsg_card_channel appmsg_card_context js_wechannel_video_card wx_tap_card wx_card_root wxw_wechannel_card_horizontal common-webchat" tabindex="0" title="轻点两下前往视频号" role="option">
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<p><strong>重要提示</strong></p>
<ul class="list-paddingleft-1">
<li>
<section>此版本为⾮⽣产⼒发⾏版本，具有试验性质，请遵循⽂档进⾏操作；</section>
</li>
<li>
<section>初版试验项⽬仅⽀持 deepin 25 ，其他发⾏版本敬请期待；</section>
</li>
<li>
<section>初版试验项⽬仅⽀持 NVIDIA 驱动版本 570.124 ，其他驱动版本敬请期待；</section>
</li>
<li>
<section>确保当前系统⽤⼾⽬录即"$HOME"剩余空间不少于 16GB；</section>
</li>
<li>
<section>本版本仅⽤于⽅案探索，具体实现效果可能会在后续版本中有所优化、变动。</section>
</li>
</ul>
<p> </p>
<section><strong>使用条件</strong></section>
<section>请确保当前启⽤的 NVIDIA 显卡⽀持 CUDA，可通过以下链接查询兼容型号。</section>
<ul class="list-paddingleft-1">
<li>
<section>https://developer.nvidia.com/cuda-gpus</section>
</li>
<li>
<section>https://developer.nvidia.com/cuda-legacy-gpus</section>
</li>
</ul>
<section>请确保当前系统的 NVIDIA 显卡驱动是通过 apt 软件仓库安装或在安装系统时预装。</section>
<section class="code-snippet__fix code-snippet__js">
<ul class="code-snippet__line-index code-snippet__js">
<li><code><span class="code-snippet__attribute">dpkg</span> -l nvidia-driver</code></li>
</ul>
</section>
<section>注意，若通过 .run 安装 NVIDIA 官⽅驱动，请勿使⽤本试验项⽬，否则可能导致显⽰驱动冲突。</section>
<p> </p>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section></section>
<section></section>
<h1><strong>二、使用方法</strong></h1>
<h2 data-pm-slice="0 0 []"><strong>2.1 安装必要运行库</strong></h2>
<p data-pm-slice="0 0 []">由于 CUDA 计算需要使⽤ GCC 作为编译器使⽤, 且 CUDA12.2 需要⾄少 GCC12 编译器⽀持，因此提供了独⽴安装包⽤于管理必要运⾏库。</p>
<ul class="list-paddingleft-1">
<li>
<p data-pm-slice="0 0 []">打开 deepin 应用商店，搜索“Blender 玲珑管理器”并安装</p>
</li>
</ul>
<p><img loading="lazy" class="alignnone wp-image-37851 size-large" src="https://www.deepin.org/wp-content/uploads/2025/11/1-1-1024x578.png" alt="" width="640" height="361" srcset="https://www.deepin.org/wp-content/uploads/2025/11/1-1-1024x578.png 1024w, https://www.deepin.org/wp-content/uploads/2025/11/1-1-300x169.png 300w, https://www.deepin.org/wp-content/uploads/2025/11/1-1-150x85.png 150w, https://www.deepin.org/wp-content/uploads/2025/11/1-1-768x433.png 768w, https://www.deepin.org/wp-content/uploads/2025/11/1-1-24x14.png 24w, https://www.deepin.org/wp-content/uploads/2025/11/1-1-36x20.png 36w, https://www.deepin.org/wp-content/uploads/2025/11/1-1-48x27.png 48w, https://www.deepin.org/wp-content/uploads/2025/11/1-1.png 1251w" sizes="(max-width: 640px) 100vw, 640px" /></p>
<ul class="list-paddingleft-1">
<li>
<p data-pm-slice="0 0 []">在启动器/开始菜单找到并安装刚刚下载的 Blender 玲珑管理器测试资源并根据提⽰操作，若有不⽀持的条件将会终⽌安装。</p>
</li>
<li>
<p data-pm-slice="0 0 []">此阶段将会向系统添加开发仓库，⽤⼾需要同意后⽅可进⾏后续操作，关闭窗⼝将视为终⽌安装。</p>
</li>
</ul>
<p><img loading="lazy" class="alignnone wp-image-37852" src="https://www.deepin.org/wp-content/uploads/2025/11/2-1.png" alt="" width="640" height="166" srcset="https://www.deepin.org/wp-content/uploads/2025/11/2-1.png 893w, https://www.deepin.org/wp-content/uploads/2025/11/2-1-300x78.png 300w, https://www.deepin.org/wp-content/uploads/2025/11/2-1-150x39.png 150w, https://www.deepin.org/wp-content/uploads/2025/11/2-1-768x199.png 768w, https://www.deepin.org/wp-content/uploads/2025/11/2-1-24x6.png 24w, https://www.deepin.org/wp-content/uploads/2025/11/2-1-36x9.png 36w, https://www.deepin.org/wp-content/uploads/2025/11/2-1-48x12.png 48w" sizes="(max-width: 640px) 100vw, 640px" /></p>
<ul class="list-paddingleft-1">
<li>
<p data-pm-slice="0 0 []">运⾏库安装器部署完成后，将会提⽰成功的结果。由于该运⾏库安装体积较大，在提⽰成功前请勿关闭计算机。</p>
</li>
</ul>
<p><img loading="lazy" class="alignnone wp-image-37853 size-full" src="https://www.deepin.org/wp-content/uploads/2025/11/3.png" alt="" width="468" height="221" srcset="https://www.deepin.org/wp-content/uploads/2025/11/3.png 468w, https://www.deepin.org/wp-content/uploads/2025/11/3-300x142.png 300w, https://www.deepin.org/wp-content/uploads/2025/11/3-150x71.png 150w, https://www.deepin.org/wp-content/uploads/2025/11/3-24x11.png 24w, https://www.deepin.org/wp-content/uploads/2025/11/3-36x17.png 36w, https://www.deepin.org/wp-content/uploads/2025/11/3-48x23.png 48w" sizes="(max-width: 468px) 100vw, 468px" /></p>
<p data-pm-slice="0 0 []">在完成上述 CUDA12.2、GCC12运⾏库安装器部署后，需要运⾏对应的安装器。</p>
<p> </p>
<h2 data-pm-slice="0 0 []"><strong>2.2 GCC12 运⾏库安装</strong></h2>
<p data-pm-slice="0 0 []">打开启动器/Launcher，找到如意玲珑 GCC12.3.0 安装器。此阶段将会向⽤⼾⽬录安装资源，⽤⼾需要同意后⽅可进⾏后续操作，关闭窗⼝将视为终⽌安装。资源部署完成后, 将会提⽰成功的结果。</p>
<p data-pm-slice="0 0 []"><img loading="lazy" class="alignnone wp-image-37854" src="https://www.deepin.org/wp-content/uploads/2025/11/4-1.png" alt="" width="640" height="133" srcset="https://www.deepin.org/wp-content/uploads/2025/11/4-1.png 900w, https://www.deepin.org/wp-content/uploads/2025/11/4-1-300x62.png 300w, https://www.deepin.org/wp-content/uploads/2025/11/4-1-150x31.png 150w, https://www.deepin.org/wp-content/uploads/2025/11/4-1-768x160.png 768w, https://www.deepin.org/wp-content/uploads/2025/11/4-1-24x5.png 24w, https://www.deepin.org/wp-content/uploads/2025/11/4-1-36x7.png 36w, https://www.deepin.org/wp-content/uploads/2025/11/4-1-48x10.png 48w" sizes="(max-width: 640px) 100vw, 640px" /></p>
<h2 data-pm-slice="0 0 []"><strong>2.3 CUDA 12.2 安装</strong></h2>
<p data-pm-slice="0 0 []">打开启动器/Launcher, 找到如意玲珑 CUDA 12.2 安装器。此阶段将会向⽤⼾⽬录安装资源，⽤⼾需要同意后⽅可进⾏后续操作，关闭窗⼝将视为终⽌安装。<span data-pm-slice="1 1 ["para",{"tagName":"section","attributes":{"style":null},"namespaceURI":""},"para",{"tagName":"p","attributes":{"data-pm-slice":"0 0 []","style":"margin-bottom: 8px;"},"namespaceURI":"http://www.w3.org/1999/xhtml"},"node",{"tagName":"span","attributes":{"style":"font-size: 14px; letter-spacing: 0.034em; background-color: transparent;"},"namespaceURI":"http://www.w3.org/1999/xhtml"}]"><br />
</span></p>
<p data-pm-slice="0 0 []"><span data-pm-slice="1 1 ["para",{"tagName":"section","attributes":{"style":null},"namespaceURI":""},"para",{"tagName":"p","attributes":{"data-pm-slice":"0 0 []","style":"margin-bottom: 8px;"},"namespaceURI":"http://www.w3.org/1999/xhtml"},"node",{"tagName":"span","attributes":{"style":"font-size: 14px; letter-spacing: 0.034em; background-color: transparent;"},"namespaceURI":"http://www.w3.org/1999/xhtml"}]">资源部署完成后, 将会提⽰成功的结果。由于该运⾏库安装体积较⼤</span>, 在提⽰成功前请勿关闭计算机。</p>
<p data-pm-slice="0 0 []"><img loading="lazy" class="alignnone wp-image-37857" src="https://www.deepin.org/wp-content/uploads/2025/11/5-1.png" alt="" width="640" height="141" srcset="https://www.deepin.org/wp-content/uploads/2025/11/5-1.png 851w, https://www.deepin.org/wp-content/uploads/2025/11/5-1-300x66.png 300w, https://www.deepin.org/wp-content/uploads/2025/11/5-1-150x33.png 150w, https://www.deepin.org/wp-content/uploads/2025/11/5-1-768x169.png 768w, https://www.deepin.org/wp-content/uploads/2025/11/5-1-24x5.png 24w, https://www.deepin.org/wp-content/uploads/2025/11/5-1-36x8.png 36w, https://www.deepin.org/wp-content/uploads/2025/11/5-1-48x11.png 48w" sizes="(max-width: 640px) 100vw, 640px" /></p>
<section>
<h2 data-pm-slice="0 0 []"><strong>2.4 Blender LTS 4.x for Linyaps 安装</strong></h2>
</section>
<section>打开 deepin 应⽤商店，搜索如意玲珑版本的“Blender LTS”并安装，请确保包名为 org.blender.lts。</section>
<section><img loading="lazy" class="alignnone wp-image-37855 size-large" src="https://www.deepin.org/wp-content/uploads/2025/11/6-1-1024x602.png" alt="" width="640" height="376" srcset="https://www.deepin.org/wp-content/uploads/2025/11/6-1-1024x602.png 1024w, https://www.deepin.org/wp-content/uploads/2025/11/6-1-300x176.png 300w, https://www.deepin.org/wp-content/uploads/2025/11/6-1-150x88.png 150w, https://www.deepin.org/wp-content/uploads/2025/11/6-1-768x451.png 768w, https://www.deepin.org/wp-content/uploads/2025/11/6-1-24x14.png 24w, https://www.deepin.org/wp-content/uploads/2025/11/6-1-36x21.png 36w, https://www.deepin.org/wp-content/uploads/2025/11/6-1-48x28.png 48w, https://www.deepin.org/wp-content/uploads/2025/11/6-1.png 1115w" sizes="(max-width: 640px) 100vw, 640px" /></section>
<section>启动 Blender LTS，满⾜条件后即可启⽤ CUDA 能⼒。</section>
<section><img loading="lazy" class="alignnone size-full wp-image-37856" src="https://www.deepin.org/wp-content/uploads/2025/11/7.png" alt="" width="468" height="198" srcset="https://www.deepin.org/wp-content/uploads/2025/11/7.png 468w, https://www.deepin.org/wp-content/uploads/2025/11/7-300x127.png 300w, https://www.deepin.org/wp-content/uploads/2025/11/7-150x63.png 150w, https://www.deepin.org/wp-content/uploads/2025/11/7-24x10.png 24w, https://www.deepin.org/wp-content/uploads/2025/11/7-36x15.png 36w, https://www.deepin.org/wp-content/uploads/2025/11/7-48x20.png 48w" sizes="(max-width: 468px) 100vw, 468px" /></section>
<p> </p>
<h1><strong>三、卸载方法</strong></h1>
<section>必要运⾏库安装器⽬前⽀持同时管理安装/卸载功能。</section>
<ul class="list-paddingleft-1">
<li>
<section>通过启动器/开始菜单找到安装 Blender 玲珑管理器测试资源 并根据提⽰操作。</section>
</li>
</ul>
<p><img loading="lazy" class="alignnone wp-image-37858" src="https://www.deepin.org/wp-content/uploads/2025/11/8.png" alt="" width="640" height="129" srcset="https://www.deepin.org/wp-content/uploads/2025/11/8.png 900w, https://www.deepin.org/wp-content/uploads/2025/11/8-300x61.png 300w, https://www.deepin.org/wp-content/uploads/2025/11/8-150x30.png 150w, https://www.deepin.org/wp-content/uploads/2025/11/8-768x155.png 768w, https://www.deepin.org/wp-content/uploads/2025/11/8-24x5.png 24w, https://www.deepin.org/wp-content/uploads/2025/11/8-36x7.png 36w, https://www.deepin.org/wp-content/uploads/2025/11/8-48x10.png 48w" sizes="(max-width: 640px) 100vw, 640px" /></p>
<ul class="list-paddingleft-1">
<li>
<section>打开 deepin 应⽤商店，进⼊“ 应⽤管理”板块找到 Blender 玲珑管理器并卸载。</section>
</li>
</ul>
<p> </p>
<h1><strong>四、常见问题</strong></h1>
<h2><strong>4.1 必要运⾏库安装阶段</strong></h2>
<section><strong>问题1：“NVML 驱动版本不在⽀持范围内”</strong></section>
<p><img loading="lazy" class="alignnone size-full wp-image-37859" src="https://www.deepin.org/wp-content/uploads/2025/11/9.png" alt="" width="472" height="176" srcset="https://www.deepin.org/wp-content/uploads/2025/11/9.png 472w, https://www.deepin.org/wp-content/uploads/2025/11/9-300x112.png 300w, https://www.deepin.org/wp-content/uploads/2025/11/9-150x56.png 150w, https://www.deepin.org/wp-content/uploads/2025/11/9-24x9.png 24w, https://www.deepin.org/wp-content/uploads/2025/11/9-36x13.png 36w, https://www.deepin.org/wp-content/uploads/2025/11/9-48x18.png 48w" sizes="(max-width: 472px) 100vw, 472px" /></p>
<ul class="list-paddingleft-1">
<li>
<section>检查当前系统是否已经正确加载受⽀持的NVIDIA显卡驱动模块</section>
</li>
<li>
<section>确认当前系统驱动是否通过apt软件仓库安装或系统预装</section>
</li>
<li>
<section>确认当前系统显卡驱动是否在受兼容范围内</section>
</li>
</ul>
<p> </p>
<section><strong>问题2：“已经存在仓库请移除”</strong></section>
<section><img loading="lazy" class="alignnone size-full wp-image-37860" src="https://www.deepin.org/wp-content/uploads/2025/11/10.png" alt="" width="460" height="247" srcset="https://www.deepin.org/wp-content/uploads/2025/11/10.png 460w, https://www.deepin.org/wp-content/uploads/2025/11/10-300x161.png 300w, https://www.deepin.org/wp-content/uploads/2025/11/10-150x81.png 150w, https://www.deepin.org/wp-content/uploads/2025/11/10-24x13.png 24w, https://www.deepin.org/wp-content/uploads/2025/11/10-36x19.png 36w, https://www.deepin.org/wp-content/uploads/2025/11/10-48x26.png 48w" sizes="(max-width: 460px) 100vw, 460px" /></section>
<section>
<section>请根据提⽰的仓库名称，检查系统中是否已经配置同名仓库：</section>
<section class="code-snippet__fix code-snippet__js">
<ul class="code-snippet__line-index code-snippet__js">
<li><code>ll<span class="code-snippet__operator">-</span>cli repo <span class="code-snippet__keyword">show</span></code></li>
</ul>
</section>
<section>注：为确保使⽤的是官⽅开发仓库，因此设置了强制检查阶段。</section>
<p> </p>
<h2><strong>4.2 Blender 玲珑管理器运 提⽰/错误</strong></h2>
<section><strong>问题1：“CUDA 计算能⼒缺失或 CUDA 安装异常”</strong></section>
<section><img loading="lazy" class="alignnone size-full wp-image-37861" src="https://www.deepin.org/wp-content/uploads/2025/11/11.png" alt="" width="463" height="202" srcset="https://www.deepin.org/wp-content/uploads/2025/11/11.png 463w, https://www.deepin.org/wp-content/uploads/2025/11/11-300x131.png 300w, https://www.deepin.org/wp-content/uploads/2025/11/11-150x65.png 150w, https://www.deepin.org/wp-content/uploads/2025/11/11-24x10.png 24w, https://www.deepin.org/wp-content/uploads/2025/11/11-36x16.png 36w, https://www.deepin.org/wp-content/uploads/2025/11/11-48x21.png 48w" sizes="(max-width: 463px) 100vw, 463px" /></section>
<section>
<ul class="list-paddingleft-1">
<li>
<section>通过终端执⾏命令 nvidia-smi ，重新启动Blender 玲珑管理器，当前测试版本可能存在加载延后问题导致检测错误；</section>
</li>
<li>
<section>检查当前系统是否已经正确加载受⽀持的 NVIDIA 显卡驱动模块；</section>
</li>
<li>
<section>确认当前系统驱动是否通过 apt 软件仓库安装或系统预装；</section>
</li>
<li>
<section>确认当前系统显卡驱动是否在受兼容范围内；</section>
</li>
<li>
<section>确认当前显卡是否受 NVIDIA CUDA ⽀持。</section>
</li>
</ul>
<p> </p>
<section>
<p data-pm-slice="0 0 []"><strong>问题2：“Blender 玲珑管理器⽆法启动”</strong></p>
<p>NVIDIA 580 驱动仍未稳定，若之前使⽤ NVIDIA 570 驱动运⾏⾮玲珑版本Blender，可能存在 GPU缓存冲突问题，需要备份配置⽂件后清理缓存:</p>
<p><code>~<span class="code-snippet__regexp">/.cache/</span>blender ~<span class="code-snippet__regexp">/.config/</span>blender</code></p>
<p> </p>
</section>
<section>
<h2><strong>一些其他使用建议</strong></h2>
<p><span data-pm-slice="0 0 []">安装玲珑版 Blender 后，请在“偏好设置”➜“系统”中，将后端保持设置为 </span><strong>OpenGL</strong>。如果切换至 Vulkan，可能因程序兼容性问题导致卡死或闪退（目前 Blender 对 Vulkan 的支持尚不稳定）。如已误设为 Vulkan，移除 Blender 的配置文件即可恢复默认设置。</p>
</section>
</section>
</section>
<p> </p>
<p><span data-pm-slice="0 0 []">以上便是 Blender 玲珑管理器项目的完整介绍及使用指南，我们衷心感谢Blender中国社区在此过程中的大力支持与贡献。</span></p>
<p><span data-pm-slice="0 0 []">从“望而却步”到“轻松启用”，Blender 玲珑管理器项目是两大社区以用户需求为核心的诚意之作。无论你是deepin资深玩家，还是 Blender 新人，都能借它省去技术折腾，专注创意。</span></p>
<p><span data-pm-slice="0 0 []">如果你身边有 deepin+Blender 的使用者，不妨把这个“加速神器”分享给 TA！也欢迎在评论区聊聊你过往配置 CUDA 的经历，一起感受如意玲珑带来的创作生态升级～</span></p>
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