diffusers/pr_13881/ko/_app/immutable/nodes/15.2RqGV4nb.js

import"../chunks/DsnmJJEf.js";import{i as g,h as M,C as v,H as e,a as c,E as w,s as y}from"../chunks/CFM6C53a.js";import{p as B,o as j,s as a,f as G,a as m,b as O,c as f,n as U}from"../chunks/CNc7KuUZ.js";const W='{"title":"추론을 위한 OpenVINO 사용 방법","local":"추론을-위한-openvino-사용-방법","sections":[{"title":"설치","local":"설치","sections":[],"depth":2},{"title":"Stable Diffusion 추론","local":"stable-diffusion-추론","sections":[],"depth":2}],"depth":1}';var _=f('<meta name="hf:doc:metadata"/>'),T=f(`<p></p> <!> <!> <p>🤗 <a href="https://github.com/huggingface/optimum-intel" rel="nofollow">Optimum</a>은 OpenVINO와 호환되는 Stable Diffusion 파이프라인을 제공합니다.
이제 다양한 Intel 프로세서에서 OpenVINO Runtime으로 쉽게 추론을 수행할 수 있습니다. (<a href="https://docs.openvino.ai/latest/openvino_docs_OV_UG_supported_plugins_Supported_Devices.html" rel="nofollow">여기</a>서 지원되는 전 기기 목록을 확인하세요).</p> <!> <p>다음 명령어로 🤗 Optimum을 설치합니다:</p> <!> <!> <p>OpenVINO 모델을 불러오고 OpenVINO 런타임으로 추론을 실행하려면 <code>StableDiffusionPipeline</code>을 <code>OVStableDiffusionPipeline</code>으로 교체해야 합니다. PyTorch 모델을 불러오고 즉시 OpenVINO 형식으로 변환하려는 경우 <code>export=True</code>로 설정합니다.</p> <!> <p><a href="https://huggingface.co/docs/optimum/intel/inference#export-and-inference-of-stable-diffusion-models" rel="nofollow">Optimum 문서</a>에서 (정적 reshaping과 모델 컴파일 등의) 더 많은 예시들을 찾을 수 있습니다.</p> <!> <p></p>`,1);function x(u,h){B(h,!1),j(()=>{new URLSearchParams(window.location.search).get("fw")}),g();var o=T();M("sw7vke",r=>{var d=_();y(d,"content",W),m(r,d)});var n=a(G(o),2);v(n,{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"});var l=a(n,2);e(l,{title:"추론을 위한 OpenVINO 사용 방법",local:"추론을-위한-openvino-사용-방법",headingTag:"h1"});var i=a(l,4);e(i,{title:"설치",local:"설치",headingTag:"h2"});var t=a(i,4);c(t,{code:"cGlwJTIwaW5zdGFsbCUyMG9wdGltdW0lNUIlMjJvcGVudmlubyUyMiU1RA==",highlighted:'pip install optimum[<span class="hljs-string">&quot;openvino&quot;</span>]',lang:"sh",wrap:!1});var s=a(t,2);e(s,{title:"Stable Diffusion 추론",local:"stable-diffusion-추론",headingTag:"h2"});var p=a(s,4);c(p,{code:"ZnJvbSUyMG9wdGltdW0uaW50ZWwub3BlbnZpbm8lMjBpbXBvcnQlMjBPVlN0YWJsZURpZmZ1c2lvblBpcGVsaW5lJTBBJTBBbW9kZWxfaWQlMjAlM0QlMjAlMjJzdGFibGUtZGlmZnVzaW9uLXYxLTUlMkZzdGFibGUtZGlmZnVzaW9uLXYxLTUlMjIlMEFwaXBlJTIwJTNEJTIwT1ZTdGFibGVEaWZmdXNpb25QaXBlbGluZS5mcm9tX3ByZXRyYWluZWQobW9kZWxfaWQlMkMlMjBleHBvcnQlM0RUcnVlKSUwQXByb21wdCUyMCUzRCUyMCUyMmElMjBwaG90byUyMG9mJTIwYW4lMjBhc3Ryb25hdXQlMjByaWRpbmclMjBhJTIwaG9yc2UlMjBvbiUyMG1hcnMlMjIlMEFpbWFnZXMlMjAlM0QlMjBwaXBlKHByb21wdCkuaW1hZ2VzJTVCMCU1RA==",highlighted:`<span class="hljs-keyword">from</span> optimum.intel.openvino <span class="hljs-keyword">import</span> OVStableDiffusionPipeline

model_id = <span class="hljs-string">&quot;stable-diffusion-v1-5/stable-diffusion-v1-5&quot;</span>
pipe = OVStableDiffusionPipeline.from_pretrained(model_id, export=<span class="hljs-literal">True</span>)
prompt = <span class="hljs-string">&quot;a photo of an astronaut riding a horse on mars&quot;</span>
images = pipe(prompt).images[<span class="hljs-number">0</span>]`,lang:"python",wrap:!1});var b=a(p,4);w(b,{source:"https://github.com/huggingface/diffusers/blob/main/docs/source/ko/optimization/open_vino.md"}),U(2),m(u,o),O()}export{x as component};