- sections:

- local: index

title: 🧨 Diffusers

- local: quicktour

title: "훑어보기"

- local: stable_diffusion

title: Stable Diffusion

- local: installation

title: 설치

title: 시작하기

- sections:

- local: tutorials/tutorial_overview

title: 개요

- local: using-diffusers/write_own_pipeline

title: 모델과 스케줄러 이해하기

- local: in_translation # tutorials/autopipeline

title: (번역중) AutoPipeline

- local: tutorials/basic_training

title: Diffusion 모델 학습하기

- local: in_translation # tutorials/using_peft_for_inference

title: (번역중) 추론을 위한 LoRAs 불러오기

- local: in_translation # tutorials/fast_diffusion

title: (번역중) Text-to-image diffusion 모델 추론 가속화하기

- local: in_translation # tutorials/inference_with_big_models

title: (번역중) 큰 모델로 작업하기

title: 튜토리얼

- sections:

- local: using-diffusers/loading

title: 파이프라인 불러오기

- local: using-diffusers/custom_pipeline_overview

title: 커뮤니티 파이프라인과 컴포넌트 불러오기

- local: using-diffusers/schedulers

title: 스케줄러와 모델 불러오기

- local: using-diffusers/other-formats

title: 모델 파일과 레이아웃

- local: using-diffusers/loading_adapters

title: 어댑터 불러오기

- local: using-diffusers/push_to_hub

title: 파일들을 Hub로 푸시하기

title: 파이프라인과 어댑터 불러오기

- sections:

- local: using-diffusers/unconditional_image_generation

title: Unconditional 이미지 생성

- local: using-diffusers/conditional_image_generation

title: Text-to-image

- local: using-diffusers/img2img

title: Image-to-image

- local: using-diffusers/inpaint

title: 인페인팅

- local: in_translation # using-diffusers/text-img2vid

title: (번역중) Text 또는 image-to-video

- local: using-diffusers/depth2img

title: Depth-to-image

title: 생성 태스크

- sections:

- local: in_translation # using-diffusers/overview_techniques

title: (번역중) 개요

- local: training/distributed_inference

title: 여러 GPU를 사용한 분산 추론

- local: in_translation # using-diffusers/merge_loras

title: (번역중) LoRA 병합

- local: in_translation # using-diffusers/scheduler_features

title: (번역중) 스케줄러 기능

- local: in_translation # using-diffusers/callback

title: (번역중) 파이프라인 콜백

- local: in_translation # using-diffusers/reusing_seeds

title: (번역중) 재현 가능한 파이프라인

- local: in_translation # using-diffusers/image_quality

title: (번역중) 이미지 퀄리티 조절하기

- local: using-diffusers/weighted_prompts

title: 프롬프트 기술

title: 추론 테크닉

- sections:

- local: in_translation # advanced_inference/outpaint

title: (번역중) Outpainting

title: 추론 심화

- sections:

- local: in_translation # using-diffusers/sdxl

title: (번역중) Stable Diffusion XL

- local: using-diffusers/sdxl_turbo

title: SDXL Turbo

- local: using-diffusers/kandinsky

title: Kandinsky

- local: in_translation # using-diffusers/ip_adapter

title: (번역중) IP-Adapter

- local: in_translation # using-diffusers/pag

title: (번역중) PAG

- local: in_translation # using-diffusers/controlnet

title: (번역중) ControlNet

- local: in_translation # using-diffusers/t2i_adapter

title: (번역중) T2I-Adapter

- local: in_translation # using-diffusers/inference_with_lcm

title: (번역중) Latent Consistency Model

- local: using-diffusers/textual_inversion_inference

title: Textual inversion

- local: using-diffusers/shap-e

title: Shap-E

- local: using-diffusers/diffedit

title: DiffEdit

- local: in_translation # using-diffusers/inference_with_tcd_lora

title: (번역중) Trajectory Consistency Distillation-LoRA

- local: using-diffusers/svd

title: Stable Video Diffusion

- local: in_translation # using-diffusers/marigold_usage

title: (번역중) Marigold 컴퓨터 비전

title: 특정 파이프라인 예시

- sections:

- local: training/overview

title: 개요

- local: training/create_dataset

title: 학습을 위한 데이터셋 생성하기

- local: training/adapt_a_model

title: 새로운 태스크에 모델 적용하기

- isExpanded: false

sections:

- local: training/unconditional_training

title: Unconditional 이미지 생성

- local: training/text2image

title: Text-to-image

- local: in_translation # training/sdxl

title: (번역중) Stable Diffusion XL

- local: in_translation # training/kandinsky

title: (번역중) Kandinsky 2.2

- local: in_translation # training/wuerstchen

title: (번역중) Wuerstchen

- local: training/controlnet

title: ControlNet

- local: in_translation # training/t2i_adapters

title: (번역중) T2I-Adapters

- local: training/instructpix2pix

title: InstructPix2Pix

title: 모델

- isExpanded: false

sections:

- local: training/text_inversion

title: Textual Inversion

- local: training/dreambooth

title: DreamBooth

- local: training/lora

title: LoRA

- local: training/custom_diffusion

title: Custom Diffusion

- local: in_translation # training/lcm_distill

title: (번역중) Latent Consistency Distillation

- local: in_translation # training/ddpo

title: (번역중) DDPO 강화학습 훈련

title: 메서드

title: 학습

- sections:

- local: optimization/fp16

title: 추론 스피드업

- local: in_translation # optimization/memory

title: (번역중) 메모리 사용량 줄이기

- local: optimization/torch2.0

title: PyTorch 2.0

- local: optimization/xformers

title: xFormers

- local: optimization/tome

title: Token merging

- local: in_translation # optimization/deepcache

title: (번역중) DeepCache

- local: in_translation # optimization/tgate

title: (번역중) TGATE

- sections:

- local: using-diffusers/stable_diffusion_jax_how_to

title: JAX/Flax

- local: optimization/onnx

title: ONNX

- local: optimization/open_vino

title: OpenVINO

- local: optimization/coreml

title: Core ML

title: 최적화된 모델 형식

- sections:

- local: optimization/mps

title: Metal Performance Shaders (MPS)

- local: optimization/habana

title: Intel Gaudi

title: 최적화된 하드웨어

title: 추론 가속화와 메모리 줄이기

- sections:

- local: conceptual/philosophy

title: 철학

- local: using-diffusers/controlling_generation

title: 제어된 생성

- local: conceptual/contribution

title: 어떻게 기여하나요?

- local: conceptual/ethical_guidelines

title: Diffusers의 윤리적 가이드라인

- local: conceptual/evaluation

title: Diffusion Models 평가하기

title: 개념 가이드

- sections:

- sections:

- sections:

- local: api/pipelines/stable_diffusion/stable_diffusion_xl

title: Stable Diffusion XL

title: Stable Diffusion

title: Pipelines

title: API