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import{s as O,o as ee,n as te}from"../chunks/scheduler.94020406.js";import{S as se,i as ie,g as p,s as o,r as J,E as le,h as r,f as s,c as n,j as z,u as T,x as k,k as A,y as oe,a as i,v as $,d as Z,t as U,w as I}from"../chunks/index.a08c8d92.js";import{T as ne}from"../chunks/Tip.3b0aeee8.js";import{C as K}from"../chunks/CodeBlock.b23cf525.js";import{D as ae}from"../chunks/DocNotebookDropdown.d8a25975.js";import{H as pe,E as re}from"../chunks/EditOnGithub.b1bceb47.js";function me(G){let l,f="๐Ÿ”’ ํ—ˆ๊น… ํŽ˜์ด์Šค ํ—ˆ๋ธŒ์—์„œ ์ปค๋ฎค๋‹ˆํ‹ฐ ํŒŒ์ดํ”„๋ผ์ธ์„ ๋ถˆ๋Ÿฌ์˜ค๋Š” ๊ฒƒ์€ ๊ณง ํ•ด๋‹น ์ฝ”๋“œ๊ฐ€ ์•ˆ์ „ํ•˜๋‹ค๊ณ  ์‹ ๋ขฐํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ฝ”๋“œ๋ฅผ ์ž๋™์œผ๋กœ ๋ถˆ๋Ÿฌ์˜ค๊ณ  ์‹คํ–‰ํ•˜๊ธฐ ์•ž์„œ ๋ฐ˜๋“œ์‹œ ์˜จ๋ผ์ธ์œผ๋กœ ํ•ด๋‹น ์ฝ”๋“œ์˜ ์‹ ๋ขฐ์„ฑ์„ ๊ฒ€์‚ฌํ•˜์„ธ์š”!";return{c(){l=p("p"),l.textContent=f},l(a){l=r(a,"P",{"data-svelte-h":!0}),k(l)!=="svelte-52untw"&&(l.textContent=f)},m(a,v){i(a,l,v)},p:te,d(a){a&&s(l)}}}function fe(G){let l,f,a,v,c,W,u,x,d,H='์ปค๋ฎค๋‹ˆํ‹ฐ ํŒŒ์ดํ”„๋ผ์ธ์€ ๋…ผ๋ฌธ์— ๋ช…์‹œ๋œ ์›๋ž˜์˜ ๊ตฌํ˜„์ฒด์™€ ๋‹ค๋ฅธ ํ˜•ํƒœ๋กœ ๊ตฌํ˜„๋œ ๋ชจ๋“  <code>DiffusionPipeline</code> ํด๋ž˜์Šค๋ฅผ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. (์˜ˆ๋ฅผ ๋“ค์–ด, <code>StableDiffusionControlNetPipeline</code>๋Š” <a href="https://arxiv.org/abs/2302.05543" rel="nofollow">โ€œText-to-Image Generation with ControlNet Conditioningโ€</a> ํ•ด๋‹น) ์ด๋“ค์€ ์ถ”๊ฐ€ ๊ธฐ๋Šฅ์„ ์ œ๊ณตํ•˜๊ฑฐ๋‚˜ ํŒŒ์ดํ”„๋ผ์ธ์˜ ์›๋ž˜ ๊ตฌํ˜„์„ ํ™•์žฅํ•ฉ๋‹ˆ๋‹ค.',B,b,Q='<a href="https://github.com/huggingface/diffusers/tree/main/examples/community#speech-to-image" rel="nofollow">Speech to Image</a> ๋˜๋Š” <a href="https://github.com/huggingface/diffusers/tree/main/examples/community#composable-stable-diffusion" rel="nofollow">Composable Stable Diffusion</a> ๊ณผ ๊ฐ™์€ ๋ฉ‹์ง„ ์ปค๋ฎค๋‹ˆํ‹ฐ ํŒŒ์ดํ”„๋ผ์ธ์ด ๋งŽ์ด ์žˆ์œผ๋ฉฐ <a href="https://github.com/huggingface/diffusers/tree/main/examples/community" rel="nofollow">์—ฌ๊ธฐ์—์„œ</a> ๋ชจ๋“  ๊ณต์‹ ์ปค๋ฎค๋‹ˆํ‹ฐ ํŒŒ์ดํ”„๋ผ์ธ์„ ์ฐพ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.',V,g,D="ํ—ˆ๋ธŒ์—์„œ ์ปค๋ฎค๋‹ˆํ‹ฐ ํŒŒ์ดํ”„๋ผ์ธ์„ ๋กœ๋“œํ•˜๋ ค๋ฉด, ์ปค๋ฎค๋‹ˆํ‹ฐ ํŒŒ์ดํ”„๋ผ์ธ์˜ ๋ฆฌํฌ์ง€ํ† ๋ฆฌ ID์™€ (ํŒŒ์ดํ”„๋ผ์ธ ๊ฐ€์ค‘์น˜ ๋ฐ ๊ตฌ์„ฑ ์š”์†Œ๋ฅผ ๋กœ๋“œํ•˜๋ ค๋Š”) ๋ชจ๋ธ์˜ ๋ฆฌํฌ์ง€ํ† ๋ฆฌ ID๋ฅผ ์ธ์ž๋กœ ์ „๋‹ฌํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ์•„๋ž˜ ์˜ˆ์‹œ์—์„œ๋Š” <code>hf-internal-testing/diffusers-dummy-pipeline</code>์—์„œ ๋”๋ฏธ ํŒŒ์ดํ”„๋ผ์ธ์„ ๋ถˆ๋Ÿฌ์˜ค๊ณ , <code>google/ddpm-cifar10-32</code>์—์„œ ํŒŒ์ดํ”„๋ผ์ธ์˜ ๊ฐ€์ค‘์น˜์™€ ์ปดํฌ๋„ŒํŠธ๋“ค์„ ๋กœ๋“œํ•ฉ๋‹ˆ๋‹ค.",P,m,R,h,S,y,Y='๊ณต์‹ ์ปค๋ฎค๋‹ˆํ‹ฐ ํŒŒ์ดํ”„๋ผ์ธ์„ ๋ถˆ๋Ÿฌ์˜ค๋Š” ๊ฒƒ์€ ๋น„์Šทํ•˜์ง€๋งŒ, ๊ณต์‹ ๋ฆฌํฌ์ง€ํ† ๋ฆฌ ID์—์„œ ๊ฐ€์ค‘์น˜๋ฅผ ๋ถˆ๋Ÿฌ์˜ค๋Š” ๊ฒƒ๊ณผ ๋”๋ถˆ์–ด ํ•ด๋‹น ํŒŒ์ดํ”„๋ผ์ธ ๋‚ด์˜ ์ปดํฌ๋„ŒํŠธ๋ฅผ ์ง์ ‘ ์ง€์ •ํ•˜๋Š” ๊ฒƒ ์—ญ์‹œ ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค. ์•„๋ž˜ ์˜ˆ์ œ๋ฅผ ๋ณด๋ฉด ์ปค๋ฎค๋‹ˆํ‹ฐ <a href="https://github.com/huggingface/diffusers/tree/main/examples/community#clip-guided-stable-diffusion" rel="nofollow">CLIP Guided Stable Diffusion</a> ํŒŒ์ดํ”„๋ผ์ธ์„ ๋กœ๋“œํ•  ๋•Œ, ํ•ด๋‹น ํŒŒ์ดํ”„๋ผ์ธ์—์„œ ์‚ฌ์šฉํ•  <code>clip_model</code> ์ปดํฌ๋„ŒํŠธ์™€ <code>feature_extractor</code> ์ปดํฌ๋„ŒํŠธ๋ฅผ ์ง์ ‘ ์„ค์ •ํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.',j,w,E,_,q='์ปค๋ฎค๋‹ˆํ‹ฐ ํŒŒ์ดํ”„๋ผ์ธ์— ๋Œ€ํ•œ ์ž์„ธํ•œ ๋‚ด์šฉ์€ <a href="https://github.com/huggingface/diffusers/blob/main/docs/source/en/using-diffusers/custom_pipeline_examples" rel="nofollow">์ปค๋ฎค๋‹ˆํ‹ฐ ํŒŒ์ดํ”„๋ผ์ธ</a> ๊ฐ€์ด๋“œ๋ฅผ ์‚ดํŽด๋ณด์„ธ์š”. ์ปค๋ฎค๋‹ˆํ‹ฐ ํŒŒ์ดํ”„๋ผ์ธ ๋“ฑ๋ก์— ๊ด€์‹ฌ์ด ์žˆ๋Š” ๊ฒฝ์šฐ <a href="https://github.com/huggingface/diffusers/blob/main/docs/source/en/using-diffusers/contribute_pipeline" rel="nofollow">์ปค๋ฎค๋‹ˆํ‹ฐ ํŒŒ์ดํ”„๋ผ์ธ์— ๊ธฐ์—ฌํ•˜๋Š” ๋ฐฉ๋ฒ•</a>์— ๋Œ€ํ•œ ๊ฐ€์ด๋“œ๋ฅผ ํ™•์ธํ•˜์„ธ์š” !',L,M,X,C,N;return c=new pe({props:{title:"์ปค์Šคํ…€ ํŒŒ์ดํ”„๋ผ์ธ ๋ถˆ๋Ÿฌ์˜ค๊ธฐ",local:"์ปค์Šคํ…€-ํŒŒ์ดํ”„๋ผ์ธ-๋ถˆ๋Ÿฌ์˜ค๊ธฐ",headingTag:"h1"}}),u=new ae({props:{classNames:"absolute z-10 right-0 top-0",options:[{label:"Mixed",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers_doc/ko/custom_pipeline_overview.ipynb"},{label:"PyTorch",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers_doc/ko/pytorch/custom_pipeline_overview.ipynb"},{label:"TensorFlow",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers_doc/ko/tensorflow/custom_pipeline_overview.ipynb"},{label:"Mixed",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/diffusers_doc/ko/custom_pipeline_overview.ipynb"},{label:"PyTorch",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/diffusers_doc/ko/pytorch/custom_pipeline_overview.ipynb"},{label:"TensorFlow",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/diffusers_doc/ko/tensorflow/custom_pipeline_overview.ipynb"}]}}),m=new ne({props:{warning:!0,$$slots:{default:[me]},$$scope:{ctx:G}}}),h=new K({props:{code:"ZnJvbSUyMGRpZmZ1c2VycyUyMGltcG9ydCUyMERpZmZ1c2lvblBpcGVsaW5lJTBBJTBBcGlwZWxpbmUlMjAlM0QlMjBEaWZmdXNpb25QaXBlbGluZS5mcm9tX3ByZXRyYWluZWQoJTBBJTIwJTIwJTIwJTIwJTIyZ29vZ2xlJTJGZGRwbS1jaWZhcjEwLTMyJTIyJTJDJTIwY3VzdG9tX3BpcGVsaW5lJTNEJTIyaGYtaW50ZXJuYWwtdGVzdGluZyUyRmRpZmZ1c2Vycy1kdW1teS1waXBlbGluZSUyMiUwQSk=",highlighted:`<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained(
<span class="hljs-string">&quot;google/ddpm-cifar10-32&quot;</span>, custom_pipeline=<span class="hljs-string">&quot;hf-internal-testing/diffusers-dummy-pipeline&quot;</span>
)`,wrap:!1}}),w=new K({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> DiffusionPipeline
<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> CLIPImageProcessor, CLIPModel
clip_model_id = <span class="hljs-string">&quot;laion/CLIP-ViT-B-32-laion2B-s34B-b79K&quot;</span>
feature_extractor = CLIPImageProcessor.from_pretrained(clip_model_id)
clip_model = CLIPModel.from_pretrained(clip_model_id)
pipeline = DiffusionPipeline.from_pretrained(
<span class="hljs-string">&quot;runwayml/stable-diffusion-v1-5&quot;</span>,
custom_pipeline=<span class="hljs-string">&quot;clip_guided_stable_diffusion&quot;</span>,
clip_model=clip_model,
feature_extractor=feature_extractor,
)`,wrap:!1}}),M=new re({props:{source:"https://github.com/huggingface/diffusers/blob/main/docs/source/ko/using-diffusers/custom_pipeline_overview.md"}}),{c(){l=p("meta"),f=o(),a=p("p"),v=o(),J(c.$$.fragment),W=o(),J(u.$$.fragment),x=o(),d=p("p"),d.innerHTML=H,B=o(),b=p("p"),b.innerHTML=Q,V=o(),g=p("p"),g.innerHTML=D,P=o(),J(m.$$.fragment),R=o(),J(h.$$.fragment),S=o(),y=p("p"),y.innerHTML=Y,j=o(),J(w.$$.fragment),E=o(),_=p("p"),_.innerHTML=q,L=o(),J(M.$$.fragment),X=o(),C=p("p"),this.h()},l(e){const t=le("svelte-u9bgzb",document.head);l=r(t,"META",{name:!0,content:!0}),t.forEach(s),f=n(e),a=r(e,"P",{}),z(a).forEach(s),v=n(e),T(c.$$.fragment,e),W=n(e),T(u.$$.fragment,e),x=n(e),d=r(e,"P",{"data-svelte-h":!0}),k(d)!=="svelte-piihgu"&&(d.innerHTML=H),B=n(e),b=r(e,"P",{"data-svelte-h":!0}),k(b)!=="svelte-18lvwqp"&&(b.innerHTML=Q),V=n(e),g=r(e,"P",{"data-svelte-h":!0}),k(g)!=="svelte-16aji3q"&&(g.innerHTML=D),P=n(e),T(m.$$.fragment,e),R=n(e),T(h.$$.fragment,e),S=n(e),y=r(e,"P",{"data-svelte-h":!0}),k(y)!=="svelte-ntl3n4"&&(y.innerHTML=Y),j=n(e),T(w.$$.fragment,e),E=n(e),_=r(e,"P",{"data-svelte-h":!0}),k(_)!=="svelte-uvoq7s"&&(_.innerHTML=q),L=n(e),T(M.$$.fragment,e),X=n(e),C=r(e,"P",{}),z(C).forEach(s),this.h()},h(){A(l,"name","hf:doc:metadata"),A(l,"content",ce)},m(e,t){oe(document.head,l),i(e,f,t),i(e,a,t),i(e,v,t),$(c,e,t),i(e,W,t),$(u,e,t),i(e,x,t),i(e,d,t),i(e,B,t),i(e,b,t),i(e,V,t),i(e,g,t),i(e,P,t),$(m,e,t),i(e,R,t),$(h,e,t),i(e,S,t),i(e,y,t),i(e,j,t),$(w,e,t),i(e,E,t),i(e,_,t),i(e,L,t),$(M,e,t),i(e,X,t),i(e,C,t),N=!0},p(e,[t]){const F={};t&2&&(F.$$scope={dirty:t,ctx:e}),m.$set(F)},i(e){N||(Z(c.$$.fragment,e),Z(u.$$.fragment,e),Z(m.$$.fragment,e),Z(h.$$.fragment,e),Z(w.$$.fragment,e),Z(M.$$.fragment,e),N=!0)},o(e){U(c.$$.fragment,e),U(u.$$.fragment,e),U(m.$$.fragment,e),U(h.$$.fragment,e),U(w.$$.fragment,e),U(M.$$.fragment,e),N=!1},d(e){e&&(s(f),s(a),s(v),s(W),s(x),s(d),s(B),s(b),s(V),s(g),s(P),s(R),s(S),s(y),s(j),s(E),s(_),s(L),s(X),s(C)),s(l),I(c,e),I(u,e),I(m,e),I(h,e),I(w,e),I(M,e)}}}const ce='{"title":"์ปค์Šคํ…€ ํŒŒ์ดํ”„๋ผ์ธ ๋ถˆ๋Ÿฌ์˜ค๊ธฐ","local":"์ปค์Šคํ…€-ํŒŒ์ดํ”„๋ผ์ธ-๋ถˆ๋Ÿฌ์˜ค๊ธฐ","sections":[],"depth":1}';function ue(G){return ee(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class _e extends se{constructor(l){super(),ie(this,l,ue,fe,O,{})}}export{_e as component};

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