diffusers/pr_12820/zh/_app/immutable/nodes/11.fe751edf.js

import{s as Ne,n as Xe,o as Ae}from"../chunks/scheduler.e4ff9b64.js";import{S as Oe,i as Ke,e as p,s as n,c as $,h as tl,a as f,d as l,b as s,f as We,g as a,j as m,k as ve,l as el,m as i,n as u,t as r,o as T,p as o}from"../chunks/index.09f1bca0.js";import{C as ll,H as vt,E as il}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.03f148a7.js";import{C as v}from"../chunks/CodeBlock.84d3c589.js";function nl(xe){let x,xt,Tt,dt,w,wt,C,Ct,y,de="在你正在使用的任意深度学习框架中安装 🤗 Diffusers 。",yt,M,we="🤗 Diffusers已在Python 3.8+、PyTorch 1.7.0+和Flax上进行了测试。按照下面的安装说明，针对你正在使用的深度学习框架进行安装：",Mt,c,Ce='<li><a href="https://pytorch.org/get-started/locally/" rel="nofollow">PyTorch</a> installation instructions.</li> <li><a href="https://flax.readthedocs.io/en/latest/" rel="nofollow">Flax</a> installation instructions.</li>',ct,g,gt,h,ye='你需要在<a href="https://docs.python.org/3/library/venv.html" rel="nofollow">虚拟环境</a>中安装 🤗 Diffusers 。',ht,_,Me='如果你对 Python 虚拟环境不熟悉，可以看看这个<a href="https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/" rel="nofollow">教程</a>.',_t,b,ce="在虚拟环境中，你可以轻松管理不同的项目，避免依赖项之间的兼容性问题。",bt,L,ge="首先，在你的项目目录下创建一个虚拟环境：",Lt,H,Ht,P,he="激活虚拟环境：",Pt,U,Ut,J,_e="现在，你就可以安装 🤗 Diffusers了！使用下边这个命令：",Jt,G,be="<strong>PyTorch</strong>",Gt,Z,Zt,R,Le="<strong>Flax</strong>",Rt,k,kt,E,Et,j,He="在从源代码安装 <code>diffusers</code> 之前，确保你已经安装了 <code>torch</code> 和 <code>accelerate</code>。",jt,I,Pe='<code>torch</code>的安装教程可以看 <code>torch</code> <a href="https://pytorch.org/get-started/locally/#start-locally" rel="nofollow">文档</a>.',It,z,Ue="安装 <code>accelerate</code>",zt,V,Vt,F,Je="从源码安装 🤗 Diffusers 需要使用以下命令:",Ft,q,qt,S,Ge=`这个命令安装的是最新的 <code>main</code>版本，而不是最近的<code>stable</code>版。
<code>main</code>是一直和最新进展保持一致的。比如，上次发布的正式版中有bug，在<code>main</code>中可以看到这个bug被修复了，但是新的正式版此时尚未推出。
但是这也意味着 <code>main</code>版本不保证是稳定的。`,St,D,Ze="我们努力保持<code>main</code>版本正常运行，大多数问题都能在几个小时或一天之内解决",Dt,Q,Re='如果你遇到了问题，可以提 <a href="https://github.com/huggingface/transformers/issues" rel="nofollow">Issue</a>，这样我们就能更快修复问题了。',Qt,Y,Yt,B,ke="如果你想做以下两件事，那你可能需要一个可修改代码的安装方式：",Bt,W,Ee="<li>使用 <code>main</code>版本的源代码。</li> <li>为 🤗 Diffusers 贡献，需要测试代码中的变化。</li>",Wt,N,je="使用以下命令克隆并安装 🤗 Diffusers:",Nt,X,Xt,A,Ie="<strong>PyTorch</strong>",At,O,Ot,K,ze="<strong>Flax</strong>",Kt,tt,te,et,Ve=`这些命令将连接到你克隆的版本库和你的 Python 库路径。
现在，不只是在通常的库路径，Python 还会在你克隆的文件夹内寻找包。
例如，如果你的 Python 包通常安装在 <code>~/anaconda3/envs/main/lib/python3.10/Site-packages/</code>，Python 也会搜索你克隆到的文件夹。<code>~/diffusers/</code>。`,ee,d,Fe="<p>如果你想继续使用这个库，你必须保留 <code>diffusers</code> 文件夹。</p>",le,lt,qe="现在你可以用下面的命令轻松地将你克隆的 🤗 Diffusers 库更新到最新版本。",ie,it,ne,nt,Se="你的Python环境将在下次运行时找到<code>main</code>版本的 🤗 Diffusers。",se,st,pe,pt,De=`我们的库会在使用<code>from_pretrained()</code>请求期间收集 telemetry 信息。这些数据包括Diffusers和PyTorch/Flax的版本，请求的模型或管道类，以及预训练检查点的路径（如果它被托管在Hub上的话）。
这些使用数据有助于我们调试问题并确定新功能的开发优先级。
Telemetry 数据仅在从 HuggingFace Hub 中加载模型和管道时发送，而不会在本地使用期间收集。`,fe,ft,Qe=`我们知道，并不是每个人都想分享这些的信息，我们尊重您的隐私，
因此您可以通过在终端中设置 <code>DISABLE_TELEMETRY</code> 环境变量从而禁用 Telemetry 数据收集：`,me,mt,Ye="Linux/MacOS :",$e,$t,ae,at,Be="Windows :",ue,ut,re,rt,Te,ot,oe;return w=new ll({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),C=new vt({props:{title:"安装",local:"安装",headingTag:"h1"}}),g=new vt({props:{title:"使用pip安装",local:"使用pip安装",headingTag:"h2"}}),H=new v({props:{code:"cHl0aG9uJTIwLW0lMjB2ZW52JTIwLmVudg==",highlighted:'python -m venv .<span class="hljs-built_in">env</span>',wrap:!1}}),U=new v({props:{code:"c291cmNlJTIwLmVudiUyRmJpbiUyRmFjdGl2YXRl",highlighted:'<span class="hljs-built_in">source</span> .<span class="hljs-built_in">env</span>/bin/activate',wrap:!1}}),Z=new v({props:{code:"cGlwJTIwaW5zdGFsbCUyMGRpZmZ1c2VycyU1QiUyMnRvcmNoJTIyJTVE",highlighted:'pip install diffusers[<span class="hljs-string">&quot;torch&quot;</span>]',wrap:!1}}),k=new v({props:{code:"cGlwJTIwaW5zdGFsbCUyMGRpZmZ1c2VycyU1QiUyMmZsYXglMjIlNUQ=",highlighted:'pip install diffusers[<span class="hljs-string">&quot;flax&quot;</span>]',wrap:!1}}),E=new vt({props:{title:"从源代码安装",local:"从源代码安装",headingTag:"h2"}}),V=new v({props:{code:"cGlwJTIwaW5zdGFsbCUyMGFjY2VsZXJhdGU=",highlighted:"pip install accelerate",wrap:!1}}),q=new v({props:{code:"cGlwJTIwaW5zdGFsbCUyMGdpdCUyQmh0dHBzJTNBJTJGJTJGZ2l0aHViLmNvbSUyRmh1Z2dpbmdmYWNlJTJGZGlmZnVzZXJz",highlighted:"pip install git+https://github.com/huggingface/diffusers",wrap:!1}}),Y=new vt({props:{title:"可修改安装",local:"可修改安装",headingTag:"h2"}}),X=new v({props:{code:"Z2l0JTIwY2xvbmUlMjBodHRwcyUzQSUyRiUyRmdpdGh1Yi5jb20lMkZodWdnaW5nZmFjZSUyRmRpZmZ1c2Vycy5naXQlMEFjZCUyMGRpZmZ1c2Vycw==",highlighted:`git <span class="hljs-built_in">clone</span> https://github.com/huggingface/diffusers.git
<span class="hljs-built_in">cd</span> diffusers`,wrap:!1}}),O=new v({props:{code:"cGlwJTIwaW5zdGFsbCUyMC1lJTIwJTIyLiU1QnRvcmNoJTVEJTIy",highlighted:'pip install -e <span class="hljs-string">&quot;.[torch]&quot;</span>',wrap:!1}}),tt=new v({props:{code:"cGlwJTIwaW5zdGFsbCUyMC1lJTIwJTIyLiU1QmZsYXglNUQlMjI=",highlighted:'pip install -e <span class="hljs-string">&quot;.[flax]&quot;</span>',wrap:!1}}),it=new v({props:{code:"Y2QlMjB+JTJGZGlmZnVzZXJzJTJGJTBBZ2l0JTIwcHVsbA==",highlighted:`<span class="hljs-built_in">cd</span> ~/diffusers/
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