| - 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: (번역중) AutoPipeline |
| - local: tutorials/basic_training |
| title: Diffusion 모델 학습하기 |
| - local: in_translation |
| title: (번역중) 추론을 위한 LoRAs 불러오기 |
| - local: in_translation |
| title: (번역중) Text-to-image diffusion 모델 추론 가속화하기 |
| - local: in_translation |
| 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 |
| title: (번역중) Text 또는 image-to-video |
| - local: using-diffusers/depth2img |
| title: Depth-to-image |
| title: 생성 태스크 |
| - sections: |
| - local: in_translation |
| title: (번역중) 개요 |
| - local: training/distributed_inference |
| title: 여러 GPU를 사용한 분산 추론 |
| - local: in_translation |
| title: (번역중) LoRA 병합 |
| - local: in_translation |
| title: (번역중) 스케줄러 기능 |
| - local: in_translation |
| title: (번역중) 파이프라인 콜백 |
| - local: in_translation |
| title: (번역중) 재현 가능한 파이프라인 |
| - local: in_translation |
| title: (번역중) 이미지 퀄리티 조절하기 |
| - local: using-diffusers/weighted_prompts |
| title: 프롬프트 기술 |
| title: 추론 테크닉 |
| - sections: |
| - local: in_translation |
| title: (번역중) Outpainting |
| title: 추론 심화 |
| - sections: |
| - local: in_translation |
| title: (번역중) Stable Diffusion XL |
| - local: using-diffusers/sdxl_turbo |
| title: SDXL Turbo |
| - local: using-diffusers/kandinsky |
| title: Kandinsky |
| - local: in_translation |
| title: (번역중) IP-Adapter |
| - local: in_translation |
| title: (번역중) PAG |
| - local: in_translation |
| title: (번역중) ControlNet |
| - local: in_translation |
| title: (번역중) T2I-Adapter |
| - local: in_translation |
| 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 |
| title: (번역중) Trajectory Consistency Distillation-LoRA |
| - local: using-diffusers/svd |
| title: Stable Video Diffusion |
| - local: in_translation |
| 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 |
| title: (번역중) Stable Diffusion XL |
| - local: in_translation |
| title: (번역중) Kandinsky 2.2 |
| - local: in_translation |
| title: (번역중) Wuerstchen |
| - local: training/controlnet |
| title: ControlNet |
| - local: in_translation |
| 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 |
| title: (번역중) Latent Consistency Distillation |
| - local: in_translation |
| title: (번역중) DDPO 강화학습 훈련 |
| title: 메서드 |
| title: 학습 |
| - sections: |
| - local: optimization/fp16 |
| title: 추론 스피드업 |
| - local: in_translation |
| 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 |
| title: (번역중) DeepCache |
| - local: in_translation |
| 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: Habana 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 |