diffusers/pr_13881/ko/_app/immutable/nodes/40.BS6Mdssq.js

import"../chunks/DsnmJJEf.js";import{i as y,h as J,C as M,H as Z,a as e,E as w,s as T}from"../chunks/CFM6C53a.js";import{p as G,o as j,s,f as W,a as d,b as U,c as h,n as I}from"../chunks/CNc7KuUZ.js";import{D as k}from"../chunks/BK2xlcGK.js";const v='{"title":"텍스트 기반 image-to-image 생성","local":"텍스트-기반-image-to-image-생성","sections":[],"depth":1}';var B=h('<meta name="hf:doc:metadata"/>'),X=h('<p></p> <!> <!> <!> <p><code>StableDiffusionImg2ImgPipeline</code>을 사용하면 텍스트 프롬프트와 시작 이미지를 전달하여 새 이미지 생성의 조건을 지정할 수 있습니다.</p> <p>시작하기 전에 필요한 라이브러리가 모두 설치되어 있는지 확인하세요:</p> <!> <p><a href="https://huggingface.co/nitrosocke/Ghibli-Diffusion" rel="nofollow"><code>nitrosocke/Ghibli-Diffusion</code></a>과 같은 사전학습된 stable diffusion 모델로 <code>StableDiffusionImg2ImgPipeline</code>을 생성하여 시작하세요.</p> <!> <p>초기 이미지를 다운로드하고 사전 처리하여 파이프라인에 전달할 수 있습니다:</p> <!> <div class="flex justify-center"><img src="https://huggingface.co/datasets/YiYiXu/test-doc-assets/resolve/main/image_2_image_using_diffusers_cell_8_output_0.jpeg"/></div> <blockquote class="tip"><p>💡 <code>strength</code>는 입력 이미지에 추가되는 노이즈의 양을 제어하는 0.0에서 1.0 사이의 값입니다. 1.0에 가까운 값은 다양한 변형을 허용하지만 입력 이미지와 의미적으로 일치하지 않는 이미지를 생성합니다.</p></blockquote> <p>프롬프트를 정의하고(지브리 스타일(Ghibli-style)에 맞게 조정된 이 체크포인트의 경우 프롬프트 앞에 <code>ghibli style</code> 토큰을 붙여야 합니다) 파이프라인을 실행합니다:</p> <!> <div class="flex justify-center"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/ghibli-castles.png"/></div> <p>다른 스케줄러로 실험하여 출력에 어떤 영향을 미치는지 확인할 수도 있습니다:</p> <!> <div class="flex justify-center"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/lms-ghibli.png"/></div> <p>아래 공백을 확인하고 <code>strength</code> 값을 다르게 설정하여 이미지를 생성해 보세요. <code>strength</code>를 낮게 설정하면 원본 이미지와 더 유사한 이미지가 생성되는 것을 확인할 수 있습니다.</p> <p>자유롭게 스케줄러를 <code>LMSDiscreteScheduler</code>로 전환하여 출력에 어떤 영향을 미치는지 확인해 보세요.</p> <iframe src="https://stevhliu-ghibli-img2img.hf.space" frameborder="0" width="850" height="500"></iframe> <!> <p></p>',1);function S(b,u){G(u,!1),j(()=>{new URLSearchParams(window.location.search).get("fw")}),y();var a=X();J("1cf9vaq",m=>{var g=B();T(g,"content",v),d(m,g)});var l=s(W(a),2);M(l,{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"});var i=s(l,2);k(i,{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;",options:[{label:"Mixed",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers_doc/ko/img2img.ipynb"},{label:"PyTorch",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers_doc/ko/pytorch/img2img.ipynb"},{label:"TensorFlow",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers_doc/ko/tensorflow/img2img.ipynb"},{label:"Mixed",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/diffusers_doc/ko/img2img.ipynb"},{label:"PyTorch",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/diffusers_doc/ko/pytorch/img2img.ipynb"},{label:"TensorFlow",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/diffusers_doc/ko/tensorflow/img2img.ipynb"}]});var o=s(i,2);Z(o,{title:"텍스트 기반 image-to-image 생성",local:"텍스트-기반-image-to-image-생성",headingTag:"h1"});var n=s(o,6);e(n,{code:"IXBpcCUyMGluc3RhbGwlMjBkaWZmdXNlcnMlMjB0cmFuc2Zvcm1lcnMlMjBmdGZ5JTIwYWNjZWxlcmF0ZQ==",highlighted:"!pip install diffusers transformers ftfy accelerate",lang:"bash",wrap:!1});var t=s(n,4);e(t,{code:"aW1wb3J0JTIwdG9yY2glMEFpbXBvcnQlMjByZXF1ZXN0cyUwQWZyb20lMjBQSUwlMjBpbXBvcnQlMjBJbWFnZSUwQWZyb20lMjBpbyUyMGltcG9ydCUyMEJ5dGVzSU8lMEFmcm9tJTIwZGlmZnVzZXJzJTIwaW1wb3J0JTIwU3RhYmxlRGlmZnVzaW9uSW1nMkltZ1BpcGVsaW5lJTBBJTBBZGV2aWNlJTIwJTNEJTIwJTIyY3VkYSUyMiUwQXBpcGUlMjAlM0QlMjBTdGFibGVEaWZmdXNpb25JbWcySW1nUGlwZWxpbmUuZnJvbV9wcmV0cmFpbmVkKCUyMm5pdHJvc29ja2UlMkZHaGlibGktRGlmZnVzaW9uJTIyJTJDJTIwdG9yY2hfZHR5cGUlM0R0b3JjaC5mbG9hdDE2KS50byglMEElMjAlMjAlMjAlMjBkZXZpY2UlMEEp",highlighted:`<span class="hljs-keyword">import</span> torch
<span class="hljs-keyword">import</span> requests
<span class="hljs-keyword">from</span> PIL <span class="hljs-keyword">import</span> Image
<span class="hljs-keyword">from</span> io <span class="hljs-keyword">import</span> BytesIO
<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> StableDiffusionImg2ImgPipeline

device = <span class="hljs-string">&quot;cuda&quot;</span>
pipe = StableDiffusionImg2ImgPipeline.from_pretrained(<span class="hljs-string">&quot;nitrosocke/Ghibli-Diffusion&quot;</span>, torch_dtype=torch.float16).to(
    device
)`,lang:"python",wrap:!1});var c=s(t,4);e(c,{code:"dXJsJTIwJTNEJTIwJTIyaHR0cHMlM0ElMkYlMkZyYXcuZ2l0aHVidXNlcmNvbnRlbnQuY29tJTJGQ29tcFZpcyUyRnN0YWJsZS1kaWZmdXNpb24lMkZtYWluJTJGYXNzZXRzJTJGc3RhYmxlLXNhbXBsZXMlMkZpbWcyaW1nJTJGc2tldGNoLW1vdW50YWlucy1pbnB1dC5qcGclMjIlMEElMEFyZXNwb25zZSUyMCUzRCUyMHJlcXVlc3RzLmdldCh1cmwpJTBBaW5pdF9pbWFnZSUyMCUzRCUyMEltYWdlLm9wZW4oQnl0ZXNJTyhyZXNwb25zZS5jb250ZW50KSkuY29udmVydCglMjJSR0IlMjIpJTBBaW5pdF9pbWFnZS50aHVtYm5haWwoKDc2OCUyQyUyMDc2OCkpJTBBaW5pdF9pbWFnZQ==",highlighted:`url = <span class="hljs-string">&quot;https://raw.githubusercontent.com/CompVis/stable-diffusion/main/assets/stable-samples/img2img/sketch-mountains-input.jpg&quot;</span>

response = requests.get(url)
init_image = Image.<span class="hljs-built_in">open</span>(BytesIO(response.content)).convert(<span class="hljs-string">&quot;RGB&quot;</span>)
init_image.thumbnail((<span class="hljs-number">768</span>, <span class="hljs-number">768</span>))
init_image`,lang:"python",wrap:!1});var p=s(c,8);e(p,{code:"cHJvbXB0JTIwJTNEJTIwJTIyZ2hpYmxpJTIwc3R5bGUlMkMlMjBhJTIwZmFudGFzeSUyMGxhbmRzY2FwZSUyMHdpdGglMjBjYXN0bGVzJTIyJTBBZ2VuZXJhdG9yJTIwJTNEJTIwdG9yY2guR2VuZXJhdG9yKGRldmljZSUzRGRldmljZSkubWFudWFsX3NlZWQoMTAyNCklMEFpbWFnZSUyMCUzRCUyMHBpcGUocHJvbXB0JTNEcHJvbXB0JTJDJTIwaW1hZ2UlM0Rpbml0X2ltYWdlJTJDJTIwc3RyZW5ndGglM0QwLjc1JTJDJTIwZ3VpZGFuY2Vfc2NhbGUlM0Q3LjUlMkMlMjBnZW5lcmF0b3IlM0RnZW5lcmF0b3IpLmltYWdlcyU1QjAlNUQlMEFpbWFnZQ==",highlighted:`prompt = <span class="hljs-string">&quot;ghibli style, a fantasy landscape with castles&quot;</span>
generator = torch.Generator(device=device).manual_seed(<span class="hljs-number">1024</span>)
image = pipe(prompt=prompt, image=init_image, strength=<span class="hljs-number">0.75</span>, guidance_scale=<span class="hljs-number">7.5</span>, generator=generator).images[<span class="hljs-number">0</span>]
image`,lang:"python",wrap:!1});var r=s(p,6);e(r,{code:"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",highlighted:`<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> LMSDiscreteScheduler

lms = LMSDiscreteScheduler.from_config(pipe.scheduler.config)
pipe.scheduler = lms
generator = torch.Generator(device=device).manual_seed(<span class="hljs-number">1024</span>)
image = pipe(prompt=prompt, image=init_image, strength=<span class="hljs-number">0.75</span>, guidance_scale=<span class="hljs-number">7.5</span>, generator=generator).images[<span class="hljs-number">0</span>]
image`,lang:"python",wrap:!1});var f=s(r,10);w(f,{source:"https://github.com/huggingface/diffusers/blob/main/docs/source/ko/using-diffusers/img2img.md"}),I(2),d(b,a),U()}export{S as component};