diffusers/main/ko/_app/pages/using-diffusers/custom_pipeline_overview.mdx-hf-doc-builder.js

import{S as Oe,i as Ke,s as et,e as a,k as _,t as l,w as oe,M as tt,c as r,d as o,m as w,a as n,h as s,x as le,b as f,G as t,g as p,y as se,q as ie,o as ae,B as re,v as ot}from"../../chunks/vendor-hf-doc-builder.js";import{T as lt}from"../../chunks/Tip-hf-doc-builder.js";import{C as He}from"../../chunks/CodeBlock-hf-doc-builder.js";import{D as st}from"../../chunks/DocNotebookDropdown-hf-doc-builder.js";function it(Y){let c,g;return{c(){c=a("p"),g=l("\u{1F512} \uD5C8\uAE45 \uD398\uC774\uC2A4 \uD5C8\uBE0C\uC5D0\uC11C \uCEE4\uBBA4\uB2C8\uD2F0 \uD30C\uC774\uD504\uB77C\uC778\uC744 \uBD88\uB7EC\uC624\uB294 \uAC83\uC740 \uACE7 \uD574\uB2F9 \uCF54\uB4DC\uAC00 \uC548\uC804\uD558\uB2E4\uACE0 \uC2E0\uB8B0\uD558\uB294 \uAC83\uC785\uB2C8\uB2E4. \uCF54\uB4DC\uB97C \uC790\uB3D9\uC73C\uB85C \uBD88\uB7EC\uC624\uACE0 \uC2E4\uD589\uD558\uAE30 \uC55E\uC11C \uBC18\uB4DC\uC2DC \uC628\uB77C\uC778\uC73C\uB85C \uD574\uB2F9 \uCF54\uB4DC\uC758 \uC2E0\uB8B0\uC131\uC744 \uAC80\uC0AC\uD558\uC138\uC694!")},l(m){c=r(m,"P",{});var v=n(c);g=s(v,"\u{1F512} \uD5C8\uAE45 \uD398\uC774\uC2A4 \uD5C8\uBE0C\uC5D0\uC11C \uCEE4\uBBA4\uB2C8\uD2F0 \uD30C\uC774\uD504\uB77C\uC778\uC744 \uBD88\uB7EC\uC624\uB294 \uAC83\uC740 \uACE7 \uD574\uB2F9 \uCF54\uB4DC\uAC00 \uC548\uC804\uD558\uB2E4\uACE0 \uC2E0\uB8B0\uD558\uB294 \uAC83\uC785\uB2C8\uB2E4. \uCF54\uB4DC\uB97C \uC790\uB3D9\uC73C\uB85C \uBD88\uB7EC\uC624\uACE0 \uC2E4\uD589\uD558\uAE30 \uC55E\uC11C \uBC18\uB4DC\uC2DC \uC628\uB77C\uC778\uC73C\uB85C \uD574\uB2F9 \uCF54\uB4DC\uC758 \uC2E0\uB8B0\uC131\uC744 \uAC80\uC0AC\uD558\uC138\uC694!"),v.forEach(o)},m(m,v){p(m,c,v),t(c,g)},d(m){m&&o(c)}}}function at(Y){let c,g,m,v,q,T,F,u,ne,D,fe,pe,P,ce,me,I,ue,de,L,b,U,be,he,E,ye,_e,C,we,ge,A,h,ve,R,Je,Me,N,Ze,Te,z,J,H,$,O,d,Ie,G,Ue,Ee,j,Ce,$e,X,Ge,ke,K,k,ee,y,We,W,Be,Ve,B,Se,xe,te;return T=new st({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"}]}}),J=new lt({props:{warning:!0,$$slots:{default:[it]},$$scope:{ctx:Y}}}),$=new He({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>
)`}}),k=new He({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,
)`}}),{c(){c=a("meta"),g=_(),m=a("h1"),v=l("\uCEE4\uC2A4\uD140 \uD30C\uC774\uD504\uB77C\uC778 \uBD88\uB7EC\uC624\uAE30"),q=_(),oe(T.$$.fragment),F=_(),u=a("p"),ne=l("\uCEE4\uBBA4\uB2C8\uD2F0 \uD30C\uC774\uD504\uB77C\uC778\uC740 \uB17C\uBB38\uC5D0 \uBA85\uC2DC\uB41C \uC6D0\uB798\uC758 \uAD6C\uD604\uCCB4\uC640 \uB2E4\uB978 \uD615\uD0DC\uB85C \uAD6C\uD604\uB41C \uBAA8\uB4E0 "),D=a("code"),fe=l("DiffusionPipeline"),pe=l(" \uD074\uB798\uC2A4\uB97C \uC758\uBBF8\uD569\uB2C8\uB2E4. 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