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- 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: 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 |