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