diffusers/pr_12262/zh/_app/immutable/nodes/8.08677044.js

import{s as vt,o as _t,n as Tt}from"../chunks/scheduler.5c93273d.js";import{S as wt,i as xt,g as a,s as n,r as p,A as Ht,h as r,f as l,c as s,j as gt,u,x as $,k as ht,y as Lt,a as i,v as g,d as h,t as v,w as _}from"../chunks/index.e43dd92b.js";import{T as ct}from"../chunks/Tip.1cbfe904.js";import{H as R,E as dt}from"../chunks/getInferenceSnippets.7d64e4c6.js";function Ct(S){let f,T=`混合推理是一项<a href="https://huggingface.co/blog/remote_vae" rel="nofollow">实验性功能</a>。
可以在此处提供反馈<a href="https://github.com/huggingface/diffusers/issues/new?template=remote-vae-pilot-feedback.yml" rel="nofollow">此处</a>。`;return{c(){f=a("p"),f.innerHTML=T},l(m){f=r(m,"P",{"data-svelte-h":!0}),$(f)!=="svelte-shhai2"&&(f.innerHTML=T)},m(m,I){i(m,f,I)},p:Tt,d(m){m&&l(f)}}}function Mt(S){let f,T,m,I,w,j,x,st="<strong>通过混合推理赋能本地 AI 构建者</strong>",k,o,q,H,D,L,ft="混合推理提供了一种快速简单的方式来卸载本地生成需求。",F,c,at="<li>🚀 <strong>降低要求：</strong> 无需昂贵硬件即可访问强大模型。</li> <li>💎 <strong>无妥协：</strong> 在不牺牲性能的情况下实现最高质量。</li> <li>💰 <strong>成本效益高：</strong> 它是免费的！🤑</li> <li>🎯 <strong>多样化用例：</strong> 与 Diffusers � 和更广泛的社区完全兼容。</li> <li>🔧 <strong>开发者友好：</strong> 简单请求，快速响应。</li>",G,N,O,d,B,C,rt="<li><strong>VAE 解码 🖼️：</strong> 快速将潜在表示解码为高质量图像，不影响性能或工作流速度。</li> <li><strong>VAE 编码 🔢：</strong> 高效将图像编码为潜在表示，用于生成和训练。</li> <li><strong>文本编码器 📃（即将推出）：</strong> 快速准确地计算提示的文本嵌入，确保流畅高质量的工作流。</li>",J,K,Q,M,W,E,mt='<li><strong><a href="https://github.com/vladmandic/sdnext" rel="nofollow">SD.Next</a>：</strong> 一体化 UI，直接支持混合推理。</li> <li><strong><a href="https://github.com/kijai/ComfyUI-HFRemoteVae" rel="nofollow">ComfyUI-HFRemoteVae</a>：</strong> 用于混合推理的 ComfyUI 节点。</li>',X,b,Y,A,$t="<li>2025 年 3 月 10 日：添加了 VAE 编码</li> <li>2025 年 3 月 2 日：初始发布，包含 VAE 解码</li>",Z,P,tt,U,ot="文档分为三个部分：",et,V,pt="<li><strong>VAE 解码</strong> 学习如何使用混合推理进行 VAE 解码的基础知识。</li> <li><strong>VAE 编码</strong> 学习如何使用混合推理进行 VAE 编码的基础知识。</li> <li><strong>API 参考</strong> 深入了解任务特定设置和参数。</li>",lt,y,it,z,nt;return w=new R({props:{title:"混合推理",local:"混合推理",headingTag:"h1"}}),o=new ct({props:{warning:!1,$$slots:{default:[Ct]},$$scope:{ctx:S}}}),H=new R({props:{title:"为什么使用混合推理？",local:"为什么使用混合推理",headingTag:"h2"}}),d=new R({props:{title:"可用模型",local:"可用模型",headingTag:"h2"}}),M=new R({props:{title:"集成",local:"集成",headingTag:"h2"}}),b=new R({props:{title:"更新日志",local:"更新日志",headingTag:"h2"}}),P=new R({props:{title:"内容",local:"内容",headingTag:"h2"}}),y=new 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_t(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class yt extends wt{constructor(f){super(),xt(this,f,bt,Mt,vt,{})}}export{yt as component};