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Mt({props:{$$slots:{default:[Zl]},$$scope:{ctx:f}}}),{c(){J(e.$$.fragment)},l(t){P(e.$$.fragment,t)},m(t,l){H(e,t,l),n=!0},p(t,l){const a={};l&2&&(a.$$scope={dirty:l,ctx:t}),e.$set(a)},i(t){n||(_(e.$$.fragment,t),n=!0)},o(t){M(e.$$.fragment,t),n=!1},d(t){I(e,t)}}}function Vl(f){let e,n="ライブラリを使い続けたい場合は、<code>diffusers</code>フォルダを残しておく必要があります。";return{c(){e=y("p"),e.innerHTML=n},l(t){e=T(t,"P",{"data-svelte-h":!0}),U(e)!=="svelte-1bm6j3a"&&(e.innerHTML=n)},m(t,l){u(t,e,l)},p:q,d(t){t&&r(e)}}}function Dl(f){let e,n,t,l,a,c,m,d="お使いのディープラーニングライブラリに合わせてDiffusersをインストールできます。",E,k,C="🤗 DiffusersはPython 3.8+、PyTorch 1.7.0+、Flaxでテストされています。使用するディープラーニングライブラリの以下のインストール手順に従ってください：",L,z,A='<li><a href="https://pytorch.org/get-started/locally/" rel="nofollow">PyTorch</a>のインストール手順。</li> <li><a href="https://flax.readthedocs.io/en/latest/" rel="nofollow">Flax</a>のインストール手順。</li>',R,G,x,j,V=`Diffusersは<a href="https://docs.python.org/3/library/venv.html" rel="nofollow">仮想環境</a>の中でインストールすることが推奨されています。
Python の仮想環境についてよく知らない場合は、こちらの <a href="https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/" rel="nofollow">ガイド</a> を参照してください。
仮想環境は異なるプロジェクトの管理を容易にし、依存関係間の互換性の問題を回避します。`,B,b,N="ではさっそく、プロジェクトディレクトリに仮想環境を作ってみます：",D,S,W,Q,ve="仮想環境をアクティブにします：",ae,X,ie,ee,fe="🤗 Diffusers もまた 🤗 Transformers ライブラリに依存しており、以下のコマンドで両方をインストールできます：",Y,O,oe,te,ce,F,Ce="ソースから🤗 Diffusersをインストールする前に、<code>torch</code>と🤗 Accelerateがインストールされていることを確認してください。",ue,le,he='<code>torch</code>のインストールについては、<code>torch</code> <a href="https://pytorch.org/get-started/locally/#start-locally" rel="nofollow">インストール</a>ガイドを参照してください。',Z,pe,se="🤗 Accelerateをインストールするには：",de,re,Me,K,Ee="以下のコマンドでソースから🤗 Diffusersをインストールできます：",$e,Te,et,ze,kt=`このコマンドは最新の <code>stable</code> バージョンではなく、最先端の <code>main</code> バージョンをインストールします。
<code>main</code>バージョンは最新の開発に対応するのに便利です。
例えば、前回の公式リリース以降にバグが修正されたが、新しいリリースがまだリリースされていない場合などには都合がいいです。
しかし、これは <code>main</code> バージョンが常に安定しているとは限らないです。
私たちは <code>main</code> バージョンを運用し続けるよう努力しており、ほとんどの問題は通常数時間から1日以内に解決されます。
もし問題が発生した場合は、<a href="https://github.com/huggingface/diffusers/issues/new/choose" rel="nofollow">Issue</a> を開いてください！`,tt,Le,lt,Je,xt="以下の場合、編集可能なインストールが必要です：",st,He,yt="<li>ソースコードの <code>main</code> バージョンを使用する。</li> <li>🤗 Diffusers に貢献し、コードの変更をテストする必要がある場合。</li>",nt,Ie,Tt="リポジトリをクローンし、次のコマンドで 🤗 Diffusers をインストールしてください：",rt,je,at,be,it,Pe,zt=`これらのコマンドは、リポジトリをクローンしたフォルダと Python のライブラリパスをリンクします。
Python は通常のライブラリパスに加えて、クローンしたフォルダの中を探すようになります。
例えば、Python パッケージが通常 <code>~/anaconda3/envs/main/lib/python3.8/site-packages/</code> にインストールされている場合、Python はクローンした <code>~/diffusers/</code> フォルダも同様に参照します。`,ft,ke,ot,Se,Lt="これで、以下のコマンドで簡単にクローンを最新版の🤗 Diffusersにアップデートできます：",ct,Ne,ut,Ue,Jt="Python環境は次の実行時に <code>main</code> バージョンの🤗 Diffusersを見つけます。",ht,Ze,pt,Re,Ht=`このライブラリは <code>from_pretrained()</code> リクエスト中にデータを収集します。
このデータには Diffusers と PyTorch/Flax のバージョン、要求されたモデルやパイプラインクラスが含まれます。
また、Hubでホストされている場合は、事前に学習されたチェックポイントへのパスが含まれます。
この使用データは問題のデバッグや新機能の優先順位付けに役立ちます。
テレメトリーはHuggingFace Hubからモデルやパイプラインをロードするときのみ送信されます。ローカルでの使用中は収集されません。`,mt,Ve,It=`我々は、すべての人が追加情報を共有したくないことを理解し、あなたのプライバシーを尊重します。
そのため、ターミナルから <code>DISABLE_TELEMETRY</code> 環境変数を設定することで、データ収集を無効にすることができます：`,dt,De,jt="Linux/MacOSの場合",$t,Ae,gt,Ge,Pt="Windows の場合",_t,Be,wt,Ke,vt;return a=new Ye({props:{title:"インストール",local:"インストール",headingTag:"h1"}}),G=new Ye({props:{title:"pip でインストール",local:"pip-でインストール",headingTag:"h2"}}),S=new ne({props:{code:"cHl0aG9uJTIwLW0lMjB2ZW52JTIwLmVudg==",highlighted:'python -m venv .<span class="hljs-built_in">env</span>',wrap:!1}}),X=new ne({props:{code:"c291cmNlJTIwLmVudiUyRmJpbiUyRmFjdGl2YXRl",highlighted:'<span class="hljs-built_in">source</span> .<span class="hljs-built_in">env</span>/bin/activate',wrap:!1}}),O=new Kt({props:{pytorch:!0,tensorflow:!1,jax:!0,$$slots:{jax:[Sl],pytorch:[jl]},$$scope:{ctx:f}}}),te=new Ye({props:{title:"ソースからのインストール",local:"ソースからのインストール",headingTag:"h2"}}),re=new ne({props:{code:"cGlwJTIwaW5zdGFsbCUyMGFjY2VsZXJhdGU=",highlighted:"pip install accelerate",wrap:!1}}),Te=new ne({props:{code:"cGlwJTIwaW5zdGFsbCUyMGdpdCUyQmh0dHBzJTNBJTJGJTJGZ2l0aHViLmNvbSUyRmh1Z2dpbmdmYWNlJTJGZGlmZnVzZXJz",highlighted:"pip install git+https://github.com/huggingface/diffusers",wrap:!1}}),Le=new Ye({props:{title:"編集可能なインストール",local:"編集可能なインストール",headingTag:"h2"}}),je=new ne({props:{code:"Z2l0JTIwY2xvbmUlMjBodHRwcyUzQSUyRiUyRmdpdGh1Yi5jb20lMkZodWdnaW5nZmFjZSUyRmRpZmZ1c2Vycy5naXQlMEFjZCUyMGRpZmZ1c2Vycw==",highlighted:`git <span class="hljs-built_in">clone</span> https://github.com/huggingface/diffusers.git
<span class="hljs-built_in">cd</span> diffusers`,wrap:!1}}),be=new Kt({props:{pytorch:!0,tensorflow:!1,jax:!0,$$slots:{jax:[Rl],pytorch:[Ul]},$$scope:{ctx:f}}}),ke=new el({props:{warning:!0,$$slots:{default:[Vl]},$$scope:{ctx:f}}}),Ne=new ne({props:{code:"Y2QlMjB+JTJGZGlmZnVzZXJzJTJGJTBBZ2l0JTIwcHVsbA==",highlighted:`<span class="hljs-built_in">cd</span> ~/diffusers/
git pull`,wrap:!1}}),Ze=new Ye({props:{title:"テレメトリー・ロギングに関するお知らせ",local:"テレメトリーロギングに関するお知らせ",headingTag:"h2"}}),Ae=new ne({props:{code:"ZXhwb3J0JTIwRElTQUJMRV9URUxFTUVUUlklM0RZRVM=",highlighted:'<span class="hljs-built_in">export</span> DISABLE_TELEMETRY=YES',wrap:!1}}),Be=new ne({props:{code:"c2V0JTIwRElTQUJMRV9URUxFTUVUUlklM0RZRVM=",highlighted:'<span class="hljs-built_in">set</span> 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Al='{"title":"インストール","local":"インストール","sections":[{"title":"pip でインストール","local":"pip-でインストール","sections":[],"depth":2},{"title":"ソースからのインストール","local":"ソースからのインストール","sections":[],"depth":2},{"title":"編集可能なインストール","local":"編集可能なインストール","sections":[],"depth":2},{"title":"テレメトリー・ロギングに関するお知らせ","local":"テレメトリーロギングに関するお知らせ","sections":[],"depth":2}],"depth":1}';function Gl(f){return Yt(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class Ol extends _e{constructor(e){super(),we(this,e,Gl,Dl,ge,{})}}export{Ol as component};