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<p align="center"><br>
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<h1 class="relative group"><a id="diffusers" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#diffusers"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a>
	<span>🧨 Diffusers
	</span></h1>

<p>🤗 Diffusers는 사전학습된 비전 및 오디오 확산 모델을 제공하고, 추론 및 학습을 위한 모듈식 도구 상자 역할을 합니다.</p>
<p>보다 정확하게, 🤗 Diffusers는 다음을 제공합니다:</p>
<ul><li>단 몇 줄의 코드로 추론을 실행할 수 있는 최신 확산 파이프라인을 제공합니다. (<a href="./using-diffusers/conditional_image_generation"><strong>Using Diffusers</strong></a>를 살펴보세요) 지원되는 모든 파이프라인과 해당 논문에 대한 개요를 보려면 <a href="#pipelines"><strong>Pipelines</strong></a>을 살펴보세요.</li>
<li>추론에서 속도 vs 품질의 절충을 위해 상호교환적으로 사용할 수 있는 다양한 노이즈 스케줄러를 제공합니다. 자세한 내용은 <a href="./api/schedulers/overview"><strong>Schedulers</strong></a>를 참고하세요.</li>
<li>UNet과 같은 여러 유형의 모델을 end-to-end 확산 시스템의 구성 요소로 사용할 수 있습니다. 자세한 내용은 <a href="./api/models"><strong>Models</strong></a>을 참고하세요.</li>
<li>가장 인기있는 확산 모델 테스크를 학습하는 방법을 보여주는 예제들을 제공합니다. 자세한 내용은 <a href="./training/overview"><strong>Training</strong></a>를 참고하세요.</li></ul>
<h2 class="relative group"><a id="diffusers" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#diffusers"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a>
	<span>🧨 Diffusers 파이프라인
	</span></h2>

<p>다음 표에는 공시적으로 지원되는 모든 파이프라인, 관련 논문, 직접 사용해 볼 수 있는 Colab 노트북(사용 가능한 경우)이 요약되어 있습니다.</p>
<table><thead><tr><th>Pipeline</th>
<th>Paper</th>
<th align="center">Tasks</th>
<th align="center">Colab</th></tr></thead>
<tbody><tr><td><a href="./api/pipelines/alt_diffusion">alt_diffusion</a></td>
<td><a href="https://arxiv.org/abs/2211.06679" rel="nofollow"><strong>AltDiffusion</strong></a></td>
<td align="center">Image-to-Image Text-Guided Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/audio_diffusion">audio_diffusion</a></td>
<td><a href="https://github.com/teticio/audio-diffusion.git" rel="nofollow"><strong>Audio Diffusion</strong></a></td>
<td align="center">Unconditional Audio Generation</td>
<td align="center"><a href="https://colab.research.google.com/github/teticio/audio-diffusion/blob/master/notebooks/audio_diffusion_pipeline.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr>
<tr><td><a href="./api/pipelines/cycle_diffusion">cycle_diffusion</a></td>
<td><a href="https://arxiv.org/abs/2210.05559" rel="nofollow"><strong>Cycle Diffusion</strong></a></td>
<td align="center">Image-to-Image Text-Guided Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/dance_diffusion">dance_diffusion</a></td>
<td><a href="https://github.com/williamberman/diffusers.git" rel="nofollow"><strong>Dance Diffusion</strong></a></td>
<td align="center">Unconditional Audio Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/ddpm">ddpm</a></td>
<td><a href="https://arxiv.org/abs/2006.11239" rel="nofollow"><strong>Denoising Diffusion Probabilistic Models</strong></a></td>
<td align="center">Unconditional Image Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/ddim">ddim</a></td>
<td><a href="https://arxiv.org/abs/2010.02502" rel="nofollow"><strong>Denoising Diffusion Implicit Models</strong></a></td>
<td align="center">Unconditional Image Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/latent_diffusion">latent_diffusion</a></td>
<td><a href="https://arxiv.org/abs/2112.10752" rel="nofollow"><strong>High-Resolution Image Synthesis with Latent Diffusion Models</strong></a></td>
<td align="center">Text-to-Image Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/latent_diffusion">latent_diffusion</a></td>
<td><a href="https://arxiv.org/abs/2112.10752" rel="nofollow"><strong>High-Resolution Image Synthesis with Latent Diffusion Models</strong></a></td>
<td align="center">Super Resolution Image-to-Image</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/latent_diffusion_uncond">latent_diffusion_uncond</a></td>
<td><a href="https://arxiv.org/abs/2112.10752" rel="nofollow"><strong>High-Resolution Image Synthesis with Latent Diffusion Models</strong></a></td>
<td align="center">Unconditional Image Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/paint_by_example">paint_by_example</a></td>
<td><a href="https://arxiv.org/abs/2211.13227" rel="nofollow"><strong>Paint by Example: Exemplar-based Image Editing with Diffusion Models</strong></a></td>
<td align="center">Image-Guided Image Inpainting</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/pndm">pndm</a></td>
<td><a href="https://arxiv.org/abs/2202.09778" rel="nofollow"><strong>Pseudo Numerical Methods for Diffusion Models on Manifolds</strong></a></td>
<td align="center">Unconditional Image Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/score_sde_ve">score_sde_ve</a></td>
<td><a href="https://openreview.net/forum?id=PxTIG12RRHS" rel="nofollow"><strong>Score-Based Generative Modeling through Stochastic Differential Equations</strong></a></td>
<td align="center">Unconditional Image Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/score_sde_vp">score_sde_vp</a></td>
<td><a href="https://openreview.net/forum?id=PxTIG12RRHS" rel="nofollow"><strong>Score-Based Generative Modeling through Stochastic Differential Equations</strong></a></td>
<td align="center">Unconditional Image Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/stable_diffusion/text2img">stable_diffusion</a></td>
<td><a href="https://stability.ai/blog/stable-diffusion-public-release" rel="nofollow"><strong>Stable Diffusion</strong></a></td>
<td align="center">Text-to-Image Generation</td>
<td align="center"><a href="https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/training_example.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr>
<tr><td><a href="./api/pipelines/stable_diffusion/img2img">stable_diffusion</a></td>
<td><a href="https://stability.ai/blog/stable-diffusion-public-release" rel="nofollow"><strong>Stable Diffusion</strong></a></td>
<td align="center">Image-to-Image Text-Guided Generation</td>
<td align="center"><a href="https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/image_2_image_using_diffusers.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr>
<tr><td><a href="./api/pipelines/stable_diffusion/inpaint">stable_diffusion</a></td>
<td><a href="https://stability.ai/blog/stable-diffusion-public-release" rel="nofollow"><strong>Stable Diffusion</strong></a></td>
<td align="center">Text-Guided Image Inpainting</td>
<td align="center"><a href="https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/in_painting_with_stable_diffusion_using_diffusers.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr>
<tr><td><a href="./api/pipelines/stable_diffusion_2">stable_diffusion_2</a></td>
<td><a href="https://stability.ai/blog/stable-diffusion-v2-release" rel="nofollow"><strong>Stable Diffusion 2</strong></a></td>
<td align="center">Text-to-Image Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/stable_diffusion_2">stable_diffusion_2</a></td>
<td><a href="https://stability.ai/blog/stable-diffusion-v2-release" rel="nofollow"><strong>Stable Diffusion 2</strong></a></td>
<td align="center">Text-Guided Image Inpainting</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/stable_diffusion_2">stable_diffusion_2</a></td>
<td><a href="https://stability.ai/blog/stable-diffusion-v2-release" rel="nofollow"><strong>Stable Diffusion 2</strong></a></td>
<td align="center">Text-Guided Super Resolution Image-to-Image</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/stable_diffusion_safe">stable_diffusion_safe</a></td>
<td><a href="https://arxiv.org/abs/2211.05105" rel="nofollow"><strong>Safe Stable Diffusion</strong></a></td>
<td align="center">Text-Guided Generation</td>
<td align="center"><a href="https://colab.research.google.com/github/ml-research/safe-latent-diffusion/blob/main/examples/Safe%20Latent%20Diffusion.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td></tr>
<tr><td><a href="./api/pipelines/stochastic_karras_ve">stochastic_karras_ve</a></td>
<td><a href="https://arxiv.org/abs/2206.00364" rel="nofollow"><strong>Elucidating the Design Space of Diffusion-Based Generative Models</strong></a></td>
<td align="center">Unconditional Image Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/unclip">unclip</a></td>
<td><a href="https://arxiv.org/abs/2204.06125" rel="nofollow">Hierarchical Text-Conditional Image Generation with CLIP Latents</a></td>
<td align="center">Text-to-Image Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/versatile_diffusion">versatile_diffusion</a></td>
<td><a href="https://arxiv.org/abs/2211.08332" rel="nofollow">Versatile Diffusion: Text, Images and Variations All in One Diffusion Model</a></td>
<td align="center">Text-to-Image Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/versatile_diffusion">versatile_diffusion</a></td>
<td><a href="https://arxiv.org/abs/2211.08332" rel="nofollow">Versatile Diffusion: Text, Images and Variations All in One Diffusion Model</a></td>
<td align="center">Image Variations Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/versatile_diffusion">versatile_diffusion</a></td>
<td><a href="https://arxiv.org/abs/2211.08332" rel="nofollow">Versatile Diffusion: Text, Images and Variations All in One Diffusion Model</a></td>
<td align="center">Dual Image and Text Guided Generation</td>
<td align="center"></td></tr>
<tr><td><a href="./api/pipelines/vq_diffusion">vq_diffusion</a></td>
<td><a href="https://arxiv.org/abs/2111.14822" rel="nofollow">Vector Quantized Diffusion Model for Text-to-Image Synthesis</a></td>
<td align="center">Text-to-Image Generation</td>
<td align="center"></td></tr></tbody></table>
<p><strong>참고</strong>: 파이프라인은 해당 문서에 설명된 대로 확산 시스템을 사용한 방법에 대한 간단한 예입니다.</p>


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