import{S as Ke,i as Qe,s as We,e as s,k as c,w as U,t as a,M as Xe,c as r,d as t,m as h,a as l,x as B,h as o,b as p,G as i,g as f,y as M,L as Ze,q as V,o as z,B as O,v as et}from"../../chunks/vendor-hf-doc-builder.js";import{I as tt}from"../../chunks/IconCopyLink-hf-doc-builder.js";import{C as le}from"../../chunks/CodeBlock-hf-doc-builder.js";function it(Se){let d,H,g,_,L,P,fe,Y,pe,J,y,ue,A,me,ce,R,u,he,C,de,ge,I,_e,ye,D,ve,we,T,$e,Pe,b,De,be,F,k,K,v,ke,G,Ee,je,Q,E,W,w,qe,N,xe,Ae,X,j,Z,$,Ce,q,Ie,Te,ee,S,Ge,te,x,ie;return P=new tt({}),k=new le({props:{code:`from diffusers import DiffusionPipeline

generator = DiffusionPipeline.from_pretrained("CompVis/ldm-text2im-large-256")`,highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> DiffusionPipeline

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You can use the `),I=s("a"),_e=a("DiffusionPipeline"),ye=a(" for any "),D=s("a"),ve=a("Diffusers\u2019 checkpoint"),we=a(`.
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Because the model consists of roughly 1.4 billion parameters, we strongly recommend running it on GPU.
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In this guide though, you\u2019ll use `),T=r(m,"A",{href:!0});var ze=l(T);$e=o(ze,"DiffusionPipeline"),ze.forEach(t),Pe=o(m," for text-to-image generation with "),b=r(m,"A",{href:!0,rel:!0});var Oe=l(b);De=o(Oe,"Latent Diffusion"),Oe.forEach(t),be=o(m,":"),m.forEach(t),F=h(e),B(k.$$.fragment,e),K=h(e),v=r(e,"P",{});var oe=l(v);ke=o(oe,"The "),G=r(oe,"A",{href:!0});var He=l(G);Ee=o(He,"DiffusionPipeline"),He.forEach(t),je=o(oe,` downloads and caches all modeling, tokenization, and scheduling components.
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