- 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
    title: AutoPipeline
  - local: tutorials/basic_training
    title: Diffusion 모델 학습하기
  title: Tutorials
- sections:
  - sections:
    - local: using-diffusers/loading_overview
      title: 개요
    - local: using-diffusers/loading
      title: 파이프라인, 모델, 스케줄러 불러오기
    - local: using-diffusers/schedulers
      title: 다른 스케줄러들을 가져오고 비교하기
    - local: using-diffusers/custom_pipeline_overview
      title: 커뮤니티 파이프라인 불러오기
    - local: using-diffusers/using_safetensors
      title: 세이프텐서 불러오기
    - local: using-diffusers/other-formats
      title: 다른 형식의 Stable Diffusion 불러오기
    - local: in_translation
      title: Hub에 파일 push하기
    title: 불러오기 & 허브
  - sections:
    - local: using-diffusers/pipeline_overview
      title: 개요
    - local: using-diffusers/unconditional_image_generation
      title: Unconditional 이미지 생성
    - local: using-diffusers/conditional_image_generation
      title: Text-to-image 생성
    - local: using-diffusers/img2img
      title: Text-guided image-to-image
    - local: using-diffusers/inpaint
      title: Text-guided 이미지 인페인팅
    - local: using-diffusers/depth2img
      title: Text-guided depth-to-image
    - local: using-diffusers/textual_inversion_inference
      title: Textual inversion
    - local: training/distributed_inference
      title: 여러 GPU를 사용한 분산 추론
    - local: in_translation
      title: Distilled Stable Diffusion 추론
    - local: using-diffusers/reusing_seeds
      title: Deterministic 생성으로 이미지 퀄리티 높이기
    - local: using-diffusers/control_brightness
      title: 이미지 밝기 조정하기
    - local: using-diffusers/reproducibility
      title: 재현 가능한 파이프라인 생성하기
    - local: using-diffusers/custom_pipeline_examples
      title: 커뮤니티 파이프라인들
    - local: using-diffusers/contribute_pipeline
      title: 커뮤티니 파이프라인에 기여하는 방법
    - local: using-diffusers/stable_diffusion_jax_how_to
      title: JAX/Flax에서의 Stable Diffusion
    - local: using-diffusers/weighted_prompts
      title: Weighting Prompts
    title: 추론을 위한 파이프라인
  - 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
    - local: training/unconditional_training
      title: Unconditional 이미지 생성
    - local: training/text_inversion
      title: Textual Inversion
    - local: training/dreambooth
      title: DreamBooth
    - local: training/text2image
      title: Text-to-image
    - local: training/lora
      title: Low-Rank Adaptation of Large Language Models (LoRA)
    - local: training/controlnet
      title: ControlNet
    - local: training/instructpix2pix
      title: InstructPix2Pix 학습
    - local: training/custom_diffusion
      title: Custom Diffusion
    title: Training
  title: Diffusers 사용하기
- sections:
  - local: optimization/opt_overview
    title: 개요
  - local: optimization/fp16
    title: 메모리와 속도
  - local: optimization/torch2.0
    title: Torch2.0 지원
  - local: optimization/xformers
    title: xFormers
  - local: optimization/onnx
    title: ONNX
  - local: optimization/open_vino
    title: OpenVINO
  - local: optimization/coreml
    title: Core ML
  - local: optimization/mps
    title: MPS
  - local: optimization/habana
    title: Habana Gaudi
  - local: optimization/tome
    title: Token Merging
  title: 최적화/특수 하드웨어
- sections:
  - local: using-diffusers/controlling_generation
    title: 제어된 생성
  - local: in_translation
    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