mirror of https://github.com/vladmandic/automatic
645 lines
67 KiB
JSON
645 lines
67 KiB
JSON
{"icons": [
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{"id":"","label":"📘","localized":"","hint":"Read generation parameters from prompt or last generation if prompt is empty into user interface"},
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{"id":"","label":"🚮","localized":"","hint":"프롬프트를 초기화한다."},
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{"id":"","label":"🌐","localized":"","hint":"엑스트라 네트워크를 보이거나 숨긴다."},
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{"id":"","label":"🧳","localized":"","hint":"현재 프롬프트에 선택한 스타일을 적용한다."},
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{"id":"","label":"🛅","localized":"","hint":"현재 프롬프트를 스타일로 저장한다."},
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{"id":"","label":"🔄","localized":"","hint":"새로고침"},
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{"id":"","label":"❌","localized":"","hint":"닫기"},
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{"id":"","label":"📒","localized":"","hint":"채우기"},
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{"id":"","label":"🎲️","localized":"","hint":"랜덤 시드 사용"},
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{"id":"","label":"♻️","localized":"","hint":"이전 시드 사용"},
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{"id":"","label":"⇅","localized":"","hint":"값 교환"}
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],
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"prompts": [
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{"id":"","label":"Prompt","localized":"프롬프트","hint":"생성할 이미지의 설명"},
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{"id":"","label":"Negative prompt","localized":"네거티브 프롬프트","hint":"생성되지 않았으면 하는 이미지의 설명"}
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],
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"common keywords": [
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{"id":"","label":"fp16","localized":"반정밀도(16비트)","hint":"수를 16비트 부동소수점으로 표현한다."},
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{"id":"","label":"fp32","localized":"단정밀도(32비트)","hint":"수를 32비트 부동소수점으로 표현한다."},
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{"id":"","label":"bf16","localized":"혼합 정밀도(16비트 bfloat)","hint":"수를 16비트 혼합 정밀도로 표현한다."},
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{"id":"","label":"Run","localized":"실행","hint":""},
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{"id":"","label":"all","localized":"전체","hint":""},
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{"id":"","label":"none","localized":"없음","hint":""},
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{"id":"","label":"disabled","localized":"비활성화됨","hint":""}
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],
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"tabs": [
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{"id":"","label":"From Text","localized":"텍스트➠이미지","hint":"텍스트에서 이미지를 생성한다."},
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{"id":"","label":"From Image","localized":"이미지➠이미지","hint":"이미지에서 이미지를 생성한다."},
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{"id":"","label":"Process Image","localized":"이미지 처리","hint":"기존 이미지를 조작/변형한다."},
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{"id":"","label":"Train","localized":"학습","hint":"모델을 학습(훈련)하거나 병합(merge)한다."},
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{"id":"","label":"Models","localized":"모델","hint":"모델을 변환하거나 병합, 다운로드한다."},
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{"id":"","label":"Interrogator","localized":"이미지➠텍스트","hint":"이미지에서 설명을 추출(interrogate)한다."},
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{"id":"","label":"System Info","localized":"시스템 정보","hint":"시스템 정보와 벤치마크"},
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{"id":"","label":"Agent Scheduler","localized":"스케쥴러","hint":"생성 요청을 큐에 넣고 백그라운드에서 실행한다."},
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{"id":"","label":"Image Browser","localized":"이미지 정보","hint":"생성한 이미지들을 탐색한다."},
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{"id":"","label":"Settings","localized":"설정","hint":"SD.Next 설정"},
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{"id":"","label":"Extensions","localized":"확장","hint":"SD.Next 확장"}
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],
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"action panel": [
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{"id":"","label":"Generate","localized":"생성","hint":"생성을 시작한다."},
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{"id":"","label":"Enqueue","localized":"큐에 추가","hint":"스케쥴러에 작업을 추가한다."},
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{"id":"","label":"Stop","localized":"중단","hint":"생성을 멈춘다."},
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{"id":"","label":"Skip","localized":"스킵","hint":"현재 생성을 멈추고 다음 생성으로 넘어간다."},
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{"id":"","label":"Interrupt","localized":"","hint":"Interrupt current processing job"},
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{"id":"","label":"Pause","localized":"일시정지","hint":"생성을 일시정지한다."},
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{"id":"","label":"Interrogate\nCLIP","localized":"CLIP 모델 사용","hint":"CLIP 모델을 사용해 이미지에서 설명을 추출한다."},
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{"id":"","label":"Interrogate\nDeepBooru","localized":"DeepBooru 모델 사용","hint":"DeepBooru 모델을 사용해 이미지에서 설명을 추출한다."}
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],
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"extra networks": [
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{"id":"","label":"Extra networks tab order","localized":"엑스트라 네트워크 탭 순서","hint":"Comma-separated list of tab names; tabs listed here will appear in the extra networks UI first and in order lsited"},
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{"id":"","label":"UI position","localized":"UI 위치","hint":""},
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{"id":"","label":"UI height (%)","localized":"UI 높이 (%)","hint":""},
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{"id":"","label":"UI sidebar width (%)","localized":"UI 사이드바 너비 (%)","hint":""},
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{"id":"","label":"UI card preview lazy loading","localized":"UI 카드 프리뷰를 늦게 로드","hint":""},
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{"id":"","label":"UI card size (px)","localized":"UI 카드 크기 (px, 픽셀)","hint":""},
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{"id":"","label":"UI disable variable aspect ratio","localized":"","hint":""},
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{"id":"","label":"UI image contain method","localized":"UI 이미지 표시 방식","hint":""},
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{"id":"","label":"Do not automatically build extra network pages","localized":"자동으로 엑스트라 네트워크 페이지를 만들지 않음","hint":""},
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{"id":"","label":"Use LyCoris handler for all Lora types","localized":"모든 Lora 종류에 LyCoris 핸들러 사용","hint":""},
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{"id":"","label":"Disable built-in Lora handler","localized":"내장 Lora 핸들러 비활성화","hint":""},
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{"id":"","label":"Use Kohya method for handling multiple Loras","localized":"여러 Lora를 다룰 때 Kohya의 방법 사용","hint":""},
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{"id":"","label":"Multiplier for extra networks","localized":"엑스트라 네트워크 배율","hint":"하이퍼 네트워크 또는 Lora를 프롬프트에 추가할 때 사용할 배율이다."},
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{"id":"","label":"Add hypernetwork to prompt","localized":"프롬프트에 하이퍼 네트워크 추가","hint":""},
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{"id":"","label":"Add Lora to prompt","localized":"프롬프트에 Lora 추가","hint":""},
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{"id":"","label":"shuffle tags by ',' when creating prompts.","localized":"프롬프트를 생성할 때 ','에 따라 태그 섞기","hint":""},
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{"id":"","label":"extra text to add before <...> when adding extra network to prompt","localized":"엑스트라 네트워크를 프롬프트에 추가할 때 <...> 이전에 추가할 텍스트","hint":""},
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{"id":"","label":"When adding to prompt, refer to Lora by","localized":"","hint":""},
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{"id":"","label":"add lora hashes to infotext","localized":"infotext에 Lora 해시 정보 포함","hint":""},
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{"id":"","label":"Checkpoints","localized":"체크포인트","hint":""},
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{"id":"","label":"Lora","localized":"","hint":""},
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{"id":"","label":"LyCORIS","localized":"","hint":""},
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{"id":"","label":"Textual Inversion","localized":"","hint":""},
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{"id":"","label":"Hypernetworks","localized":"하이퍼 네트워크","hint":""},
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{"id":"","label":"Save preview","localized":"프리뷰 저장","hint":"현재 이미지를 엑스트라 네트워크 프리뷰로 저장한다."},
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{"id":"","label":"Save description","localized":"설명 저장","hint":"현재 텍스트를 엑스트라 네트워크 설명으로 저장한다."},
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{"id":"","label":"Read description","localized":"","hint":"Read stored extra network description"}
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],
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"gallery buttons": [
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{"id":"","label":"show","localized":"보기","hint":"이미지 위치를 확인한다."},
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{"id":"","label":"save","localized":"저장","hint":"이미지를 저장한다."},
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{"id":"","label":"zip","localized":"","hint":"이미지들을 zip 파일로 만든다."},
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{"id":"","label":"delete","localized":"삭제","hint":"이미지를 삭제한다."},
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{"id":"","label":"➠ text","localized":"➠ 텍스트","hint":"이미지를 이미지➠텍스트 탭으로 옮긴다."},
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{"id":"","label":"➠ image","localized":"➠ 이미지","hint":"이미지를 이미지➠이미지 탭으로 옮긴다."},
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{"id":"","label":"➠ inpaint","localized":"➠ 인페인트","hint":"이미지를 인페인트 화면으로 옮긴다."},
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{"id":"","label":"➠ sketch","localized":"➠ 스케치","hint":"이미지를 스케치 화면으로 옮긴다."},
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{"id":"","label":"➠ inpaint sketch","localized":"➠ 인페인트 스케치","hint":"이미지를 인페인트 스케치 탭으로 옮긴다."},
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{"id":"","label":"➠ process","localized":"➠ 이미지 정보","hint":"이미지를 이미지 정보 탭으로 옮긴다."}
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],
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"extensions": [
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{"id":"","label":"Install","localized":"설치","hint":"확장을 설치한다."},
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{"id":"","label":"Search","localized":"검색","hint":"확장을 검색한다."},
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{"id":"","label":"Sort by","localized":"정렬","hint":"확장을 정렬한다."},
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{"id":"","label":"Manage extensions","localized":"확장 관리","hint":"확장을 관리한다."},
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{"id":"","label":"Manual install","localized":"수동 설치","hint":"확장을 수동으로 설치한다."},
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{"id":"","label":"Extension GIT repository URL","localized":"GIT 레포지토리 URL","hint":"확장의 깃허브 레포지토리 URL을 지정한다."},
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{"id":"","label":"Specific branch name","localized":"브랜치 이름","hint":"확장의 브랜치 이름을 지정한다. (비워 놓으면 기본값)"},
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{"id":"","label":"Local directory name","localized":"로컬 폴더명","hint":"확장이 설치될 위치를 지정한다. (비워 놓으면 기본값)"},
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{"id":"","label":"Refresh extension list","localized":"확장 목록 새로고침","hint":"사용할 수 있는 확장 목록을 새로고침한다."},
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{"id":"","label":"Update installed extensions","localized":"설치된 확장 업데이트","hint":"설치된 확장을 최신 버전으로 업데이트한다."},
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{"id":"","label":"Apply changes & restart server","localized":"변경 사항을 저장하고 서버를 재시작","hint":"모든 변경 사항을 적용하고 서버를 재시작한다."},
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{"id":"","label":"install","localized":"설치","hint":"이 확장을 설치한다."},
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{"id":"","label":"uninstall","localized":"제거","hint":"이 확장을 제거한다."},
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{"id":"","label":"User interface defaults","localized":"유저 인터페이스 기본값","hint":"Review and set current values as default values for the user interface"},
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{"id":"","label":"View changes","localized":"변경 사항 확인","hint":"기본값과 현재 값 간의 변경 사항을 확인한다."},
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{"id":"","label":"Set new defaults","localized":"새 기본값 설정","hint":"현재 UI 설정을 기본값으로 저장한다."},
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{"id":"","label":"Restore defaults","localized":"시스템 기본값 복원","hint":"유저 인터페이스 기본값을 복원한다."}
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],
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"txt2img tab": [
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{"id":"","label":"Sampling method","localized":"샘플링 방법(샘플러)","hint":"이미지 생성 시 사용할 알고리즘을 지정한다."},
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{"id":"","label":"Sampling steps","localized":"샘플링 스탭 수","hint":"이미지를 생성 과정을 얼마나 많이 반복할지 지정한다. 높을 수록 생성이 길어지고 낮을 수록 결과물 퀄리티가 낮아진다."},
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{"id":"","label":"Restore faces","localized":"얼굴 복원","hint":"생성된 이미지의 얼굴을 GFPGAN 또는 CodeFormer로 고친다."},
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{"id":"","label":"Tiling","localized":"타일링","hint":"Produce an image that can be tiled"},
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{"id":"","label":"Hires fix","localized":"생성 후 업스케일(Hires fix)","hint":"최종 이미지를 생성하기 전에 업스케일한다."},
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{"id":"","label":"Denoising strength","localized":"디노이즈 강도","hint":"기존 이미지의 특징을 얼마나 남길지 정한다. 만약 0이라면 이전 이미지가 그대로 생성되고 1이라면 이전 이미지와 전혀 무관한 이미지가 생성된다. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies"},
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{"id":"","label":"Denoise start","localized":"","hint":"Override denoise strength by stating how early base model should finish and when refiner should start. Only applicable to refiner usage. If set to 0 or 1, denoising strength will be used"},
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{"id":"","label":"Hires steps","localized":"업스케일 스탭 수","hint":"업스케일 시 샘플링 스탭 수이다. If 0, uses same as for original"},
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{"id":"","label":"Upscaler","localized":"업스케일러","hint":"업스케일 시 사용할 모델이다."},
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{"id":"","label":"Upscale by","localized":"업스케일 배율","hint":"기존 이미지의 너비와 높이에 이 값을 곱한다. 너비와 높이가 0이 아니라면 무시된다."},
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{"id":"","label":"Resize width to","localized":"너비","hint":"이 너비로 이미지를 리사이즈한다. 0이라면 높이에서 추론한다."},
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{"id":"","label":"Resize height to","localized":"높이","hint":"이 높이로 이미지를 리사이즈한다. 0이라면 너비에서 추론한다."},
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{"id":"","label":"Secondary sampler","localized":"2단계 샘플러","hint":"Use specific sampler as fallback sampler if primary is not supported for specific operation"},
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{"id":"","label":"Secondary steps","localized":"2단계 스탭 수","hint":"Number of steps to use for second pass"},
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{"id":"","label":"Secondary CFG Scale","localized":"2단계 CFG 스케일","hint":"CFG scale used for refiner pass"},
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{"id":"","label":"Guidance rescale","localized":"","hint":"Rescale CFG generated noise to avoid overexposed images"},
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{"id":"","label":"Secondary Prompt","localized":"2단계 프롬프트","hint":"Prompt used for both second encoder in base model (if it exists) and for refiner pass (if enabled)"},
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{"id":"","label":"Secondary negative prompt","localized":"2단계 네거티브 프롬프트","hint":"Negative prompt used for both second encoder in base model (if it exists) and for refiner pass (if enabled)"},
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{"id":"","label":"Width","localized":"너비","hint":"이미지 너비"},
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{"id":"","label":"Height","localized":"높이","hint":"이미지 높이"},
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{"id":"","label":"Batch count","localized":"배치 수","hint":"How many batches of images to create (생성 시 성능과 VRAM 사용에 영향 없음)"},
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{"id":"","label":"Batch size","localized":"배치 사이즈","hint":"How many image to create in a single batch (생성 시 성능에 영향을 주고 VRAM을 더 사용함)"},
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{"id":"","label":"CFG Scale","localized":"CFG 스케일","hint":"Classifier Free Guidance scale: how strongly the image should conform to prompt. Lower values produce more creative results, higher values make it follow the prompt more strictly; recommended values between 5-10"},
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{"id":"","label":"CLIP skip","localized":"클립(CLIP) 스킵","hint":"Clip skip is a feature that allows users to control the level of specificity of the prompt, the higher the CLIP skip value, the less deep the prompt will be interpreted. CLIP Skip 1 is typical while some anime models produce better results at CLIP skip 2"},
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{"id":"","label":"Seed","localized":"시드","hint":"난수 생성기의 결과를 결정하는 값. 같은 설정 값과 시드를 사용하면 같은 결과를 얻는다."},
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{"id":"","label":"Extra","localized":"기타","hint":"추가 설정을 본다."},
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{"id":"","label":"Variation seed","localized":"다양성 시드","hint":"Seed of a different picture to be mixed into the generation"},
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{"id":"","label":"Variation strength","localized":"다양성 강도","hint":"How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something)"},
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{"id":"","label":"Resize seed from width","localized":"","hint":"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution"},
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{"id":"","label":"Resize seed from height","localized":"","hint":"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution"},
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{"id":"","label":"Override settings","localized":"설정 덮어쓰기","hint":"If you read in generation parameters through 'Process Image tab' and individual generation parameters should deviate from your system settings, this box will be populated with those settings to override your system configuration for this workflow"}
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],
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"process tab": [
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{"id":"","label":"Single Image","localized":"단일 이미지","hint":"단일 이미지에 대해 작업을 수행한다."},
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{"id":"","label":"Process Batch","localized":"배치 생성","hint":"이미지 배치를 생성한다."},
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{"id":"","label":"Process Folder","localized":"폴더","hint":"폴더 내 모든 이미지를 대상으로 작업을 수행한다."},
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{"id":"","label":"Scale by","localized":"이미지 크기 변경(배율)","hint":"이 배율만큼 이미지 크기를 바꾼다."},
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{"id":"","label":"Scale to","localized":"이미지 크기 변경","hint":"특정 크기로 이미지 크기를 바꾼다."},
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{"id":"","label":"Input directory","localized":"입력 위치","hint":"Folder where the images are that you want to process"},
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{"id":"","label":"Output directory","localized":"출력 위치","hint":"Folder where the processed images should be saved to"},
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{"id":"","label":"Show result images","localized":"결과 이미지 보기","hint":"Enable to show the processed images in the image pane"},
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{"id":"","label":"Resize","localized":"이미지 크기 변경 배율","hint":"Factor for resizing 1x mean no upscale, 4x means 4 times upscale, high values might lead to memory issues on small graphics cards"},
|
|
{"id":"","label":"Crop to fit","localized":"","hint":"If the dimensions of your source image (e.g. 512x510) deviate from your target dimensions (e.g. 1024x768) this function will fit your upscaled image into your target size image. Excess will be cropped"},
|
|
{"id":"","label":"Secondary Upscaler","localized":"2단계 업스케일러","hint":"Select secondary upscaler to run after initial upscaler"},
|
|
{"id":"","label":"Upscaler 2 visibility","localized":"","hint":"Strength of the secondary upscaler"},
|
|
{"id":"","label":"GFPGAN visibility","localized":"","hint":"Strength of GFPGAN face restore network, 0=disabled"},
|
|
{"id":"","label":"CodeFormer visibility","localized":"","hint":"Strength of CodeFormer face restore network, 0=disabled"},
|
|
{"id":"","label":"CodeFormer weight","localized":"","hint":"0=maximum strength, 1=minimum strength"}
|
|
],
|
|
"settings menu": [
|
|
{"id":"settings_submit","label":"Apply settings","localized":"설정 적용","hint":"현재 설정을 저장한다. (서버 재시작 권장)"},
|
|
{"id":"restart_submit","label":"Restart server","localized":"서버 재시작","hint":"서버를 재시작한다."},
|
|
{"id":"shutdown_submit","label":"Shutdown server","localized":"서버 종료","hint":"서버를 종료한다."},
|
|
{"id":"settings_preview_theme","label":"Preview theme","localized":"테마 미리보기","hint":"테마 미리보기 탭을 연다."},
|
|
{"id":"defaults_submit","label":"Restore defaults","localized":"기본값 복원","hint":"기본 설정을 불러온다."},
|
|
{"id":"sett_unload_sd_model","label":"Unload checkpoint","localized":"체크포인트 언로드","hint":"현재 모델을 메모리에서 해제한다."},
|
|
{"id":"sett_reload_sd_model","label":"Reload checkpoint","localized":"체크포인트 다시 불러오기","hint":"현재 모델을 다시 불러온다."}
|
|
],
|
|
"settings sections": [
|
|
{"id":"","label":"Stable Diffusion","localized":"","hint":""},
|
|
{"id":"","label":"Optimizations","localized":"최적화","hint":""},
|
|
{"id":"","label":"Compute Settings","localized":"연산 설정","hint":""},
|
|
{"id":"","label":"Diffusers Settings","localized":"Diffusers 설정","hint":""},
|
|
{"id":"","label":"System Paths","localized":"시스템 위치","hint":""},
|
|
{"id":"","label":"Image Options","localized":"이미지 설정","hint":""},
|
|
{"id":"","label":"Image Processing","localized":"이미지 프로세싱","hint":""},
|
|
{"id":"","label":"Image Paths","localized":"이미지 위치","hint":""},
|
|
{"id":"","label":"User Interface","localized":"유저 인터페이스","hint":""},
|
|
{"id":"","label":"Live Previews","localized":"라이브 프리뷰","hint":""},
|
|
{"id":"","label":"Sampler Settings","localized":"샘플러 설정","hint":""},
|
|
{"id":"","label":"Postprocessing","localized":"후처리","hint":""},
|
|
{"id":"","label":"Training","localized":"학습(훈련)","hint":""},
|
|
{"id":"","label":"Interrogate","localized":"이미지➠텍스트","hint":""},
|
|
{"id":"","label":"Upscaling","localized":"업스케일링","hint":""},
|
|
{"id":"","label":"Extra Networks","localized":"엑스트라 네트워크","hint":""},
|
|
{"id":"","label":"Licenses","localized":"라이선스 정보","hint":""},
|
|
{"id":"","label":"Show all pages","localized":"모든 페이지 보기","hint":""},
|
|
{"id":"","label":"Request browser notifications","localized":"브라우저 알림 요청","hint":""}
|
|
],
|
|
"img2img tabs": [
|
|
{"id":"","label":"Image","localized":"이미지","hint":""},
|
|
{"id":"","label":"Sketch","localized":"스케치","hint":""},
|
|
{"id":"","label":"Inpaint","localized":"인페인트","hint":""},
|
|
{"id":"","label":"Inpaint sketch","localized":"인페인트 스케치","hint":""},
|
|
{"id":"","label":"Inpaint upload","localized":"인페인트 업로드","hint":""},
|
|
{"id":"","label":"Batch","localized":"배치","hint":""}
|
|
],
|
|
"img2img tab": [
|
|
{"id":"","label":"Inpaint batch input directory","localized":"","hint":""},
|
|
{"id":"","label":"Inpaint batch output directory","localized":"","hint":""},
|
|
{"id":"","label":"Inpaint batch mask directory","localized":"","hint":""},
|
|
{"id":"","label":"Resize fixed","localized":"","hint":"Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio"},
|
|
{"id":"","label":"Crop and resize","localized":"","hint":"Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out"},
|
|
{"id":"","label":"Resize and fill","localized":"","hint":"Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors"},
|
|
{"id":"","label":"Resize using Latent upscale","localized":"","hint":""},
|
|
{"id":"","label":"Mask blur","localized":"","hint":"How much to blur the mask before processing, in pixels"},
|
|
{"id":"","label":"Mask transparency","localized":"","hint":""},
|
|
{"id":"","label":"Inpaint masked","localized":"","hint":""},
|
|
{"id":"","label":"Inpaint not masked","localized":"","hint":""},
|
|
{"id":"","label":"fill","localized":"채우기","hint":"fill it with colors of the image"},
|
|
{"id":"","label":"original","localized":"","hint":"keep whatever was there originally"},
|
|
{"id":"","label":"latent noise","localized":"","hint":"fill it with latent space noise"},
|
|
{"id":"","label":"latent nothing","localized":"","hint":"fill it with latent space zeroes"},
|
|
{"id":"","label":"Whole picture","localized":"","hint":""},
|
|
{"id":"","label":"Only masked","localized":"","hint":""},
|
|
{"id":"","label":"Only masked padding, pixels","localized":"","hint":""},
|
|
{"id":"","label":"Scale","localized":"","hint":""},
|
|
{"id":"","label":"Unused","localized":"","hint":""},
|
|
{"id":"","label":"Image CFG scale","localized":"","hint":""}
|
|
],
|
|
"models tabs": [
|
|
{"id":"","label":"Convert","localized":"변환","hint":""},
|
|
{"id":"","label":"Merge","localized":"병합","hint":""},
|
|
{"id":"","label":"Validate","localized":"검증","hint":""},
|
|
{"id":"","label":"List model details","localized":"모델 목록 조회","hint":""},
|
|
{"id":"","label":"Calculate hash for all models (may take a long time)","localized":"모든 모델에 대해 해시값 계산 (긴 시간이 걸릴 수 있음)","hint":""},
|
|
{"id":"","label":"search models","localized":"모델 검색","hint":""},
|
|
{"id":"","label":"select model","localized":"모델 선택","hint":""},
|
|
{"id":"","label":"specify model variant","localized":"모델 종류(variant) 지정","hint":""},
|
|
{"id":"","label":"specify model revision","localized":"모델 리비전 지정","hint":""},
|
|
{"id":"","label":"huggingface token","localized":"huggingface 토큰값","hint":""},
|
|
{"id":"","label":"huggingface mirror","localized":"huggingface 미러","hint":""}
|
|
],
|
|
"train tabs": [
|
|
{"id":"","label":"Preprocess","localized":"전처리","hint":""},
|
|
{"id":"","label":"Preprocess images","localized":"이미지 전처리","hint":""},
|
|
{"id":"","label":"Train embedding","localized":"임베딩 학습","hint":""},
|
|
{"id":"","label":"Train hypernetwork","localized":"하이퍼 네트워크 학습","hint":""},
|
|
{"id":"","label":"Create embedding","localized":"임베딩 생성","hint":""},
|
|
{"id":"","label":"Create hypernetwork","localized":"하이퍼 네트워크 생성","hint":""}
|
|
],
|
|
"train tab": [
|
|
{"id":"","label":"Primary model","localized":"첫 번째 모델","hint":""},
|
|
{"id":"","label":"Secondary model","localized":"두 번째 모델","hint":""},
|
|
{"id":"","label":"Tertiary model","localized":"세 번째 모델","hint":""},
|
|
{"id":"","label":"New model name","localized":"새 모델 이름","hint":""},
|
|
{"id":"","label":"No interpolation","localized":"","hint":"모델 하나가 필요하다. No interpolation will be used, allows for format conversion and VAE baking"},
|
|
{"id":"","label":"Weighted sum","localized":"가중 합","hint":"모델 두 개가 필요하다. Weighted sum will be used for interpolation, result is calculated as A * (1 - M) + B * M"},
|
|
{"id":"","label":"Add difference","localized":"","hint":"모델 세 개가 필요하다. Difference between the last two models will be added to the first, result is calculated as A + (B - C) * M"},
|
|
{"id":"","label":"Interpolation ratio from Primary to Secondary","localized":"","hint":""},
|
|
{"id":"","label":"ckpt","localized":"","hint":""},
|
|
{"id":"","label":"safetensors","localized":"","hint":""},
|
|
{"id":"","label":"Save metadata","localized":"메타데이터 저장","hint":""},
|
|
{"id":"","label":"Primary","localized":"","hint":""},
|
|
{"id":"","label":"Secondary","localized":"","hint":""},
|
|
{"id":"","label":"Tertiary","localized":"","hint":""},
|
|
{"id":"","label":"Bake in VAE","localized":"VAE 내장","hint":""},
|
|
{"id":"","label":"Discard weights with matching name","localized":"일치하는 이름의 가중치 삭제","hint":"Regular expression; if weights's name matches it, the weights is not written to the resulting checkpoint. Use ^model_ema to discard EMA weights"},
|
|
{"id":"","label":"Name","localized":"이름","hint":""},
|
|
{"id":"","label":"Initialization text","localized":"","hint":"If the number of tokens is more than the number of vectors, some may be skipped.\nLeave the textbox empty to start with zeroed out vectors"},
|
|
{"id":"","label":"Number of vectors per token","localized":"","hint":""},
|
|
{"id":"","label":"Overwrite Old Embedding","localized":"기존 임베딩 덮어쓰기","hint":""},
|
|
{"id":"","label":"Enter hypernetwork layer structure","localized":"","hint":""},
|
|
{"id":"","label":"Select activation function of hypernetwork","localized":"","hint":"Recommended : Swish / Linear(none)"},
|
|
{"id":"","label":"Select Layer weights initialization","localized":"","hint":"Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise"},
|
|
{"id":"","label":"Add layer normalization","localized":"레이어 정규화 추가","hint":""},
|
|
{"id":"","label":"Use dropout","localized":"드롭아웃 사용","hint":""},
|
|
{"id":"","label":"Enter hypernetwork Dropout structure","localized":"","hint":"Recommended : leave empty or 0~0.35 incrementing sequence: 0, 0.05, 0.15"},
|
|
{"id":"","label":"Overwrite Old Hypernetwork","localized":"기존 하이퍼 네트워크 덮어쓰기","hint":""},
|
|
{"id":"","label":"Source directory","localized":"","hint":""},
|
|
{"id":"","label":"Destination directory","localized":"","hint":""},
|
|
{"id":"","label":"Existing caption text action","localized":"","hint":""},
|
|
{"id":"","label":"Keep original size","localized":"","hint":""},
|
|
{"id":"","label":"Keep original image channels","localized":"","hint":""},
|
|
{"id":"","label":"Create flipped copies","localized":"","hint":""},
|
|
{"id":"","label":"Split oversized images","localized":"","hint":""},
|
|
{"id":"","label":"Auto focal point crop","localized":"","hint":""},
|
|
{"id":"","label":"Auto-sized crop","localized":"","hint":""},
|
|
{"id":"","label":"Create captions only","localized":"","hint":""},
|
|
{"id":"","label":"Create BLIP captions","localized":"","hint":""},
|
|
{"id":"","label":"Create Deepbooru captions","localized":"","hint":""},
|
|
{"id":"","label":"Split image threshold","localized":"","hint":""},
|
|
{"id":"","label":"Split image overlap ratio","localized":"","hint":""},
|
|
{"id":"","label":"Focal point face weight","localized":"","hint":""},
|
|
{"id":"","label":"Focal point entropy weight","localized":"","hint":""},
|
|
{"id":"","label":"Focal point edges weight","localized":"","hint":""},
|
|
{"id":"","label":"Create debug image","localized":"","hint":""},
|
|
{"id":"","label":"Dimension lower bound","localized":"","hint":""},
|
|
{"id":"","label":"Dimension upper bound","localized":"","hint":""},
|
|
{"id":"","label":"Area lower bound","localized":"","hint":""},
|
|
{"id":"","label":"Area upper bound","localized":"","hint":""},
|
|
{"id":"","label":"Maximize area","localized":"","hint":""},
|
|
{"id":"","label":"Minimize error","localized":"","hint":""},
|
|
{"id":"","label":"Error threshold","localized":"","hint":""},
|
|
{"id":"","label":"Hypernetwork","localized":"하이퍼 네트워크","hint":""},
|
|
{"id":"","label":"Embedding Learning rate","localized":"임베딩 학습률","hint":""},
|
|
{"id":"","label":"Hypernetwork Learning rate","localized":"하이퍼 네트워크 학습률","hint":""},
|
|
{"id":"","label":"Gradient Clipping","localized":"","hint":""},
|
|
{"id":"","label":"Gradient accumulation steps","localized":"","hint":""},
|
|
{"id":"","label":"Dataset directory","localized":"데이터셋 위치","hint":""},
|
|
{"id":"","label":"Log directory","localized":"로그 위치","hint":""},
|
|
{"id":"","label":"Prompt template","localized":"프롬프트 탬플릿","hint":""},
|
|
{"id":"","label":"Do not resize images","localized":"이미지 리사이즈 하지 않음","hint":""},
|
|
{"id":"","label":"Max steps","localized":"최대 스탭 수","hint":""},
|
|
{"id":"","label":"Create interim images","localized":"","hint":"Save an image to log directory every N steps, 0 to disable"},
|
|
{"id":"","label":"Create interim embeddings","localized":"","hint":"Save a copy of embedding to log directory every N steps, 0 to disable"},
|
|
{"id":"","label":"Use PNG alpha channel as loss weight","localized":"","hint":""},
|
|
{"id":"","label":"Save images with embedding in PNG chunks","localized":"","hint":""},
|
|
{"id":"","label":"Use current settings for previews","localized":"","hint":"Read parameters (prompt, etc...) from txt2img tab when making previews"},
|
|
{"id":"","label":"Shuffle tags","localized":"","hint":"Shuffle tags by ',' when creating prompts"},
|
|
{"id":"","label":"Drop out tags when creating prompts","localized":"","hint":""},
|
|
{"id":"","label":"once","localized":"","hint":""},
|
|
{"id":"","label":"deterministic","localized":"","hint":""},
|
|
{"id":"","label":"select embedding","localized":"임베딩 선택","hint":""},
|
|
{"id":"","label":"create embedding","localized":"임베딩 생성","hint":""},
|
|
{"id":"","label":"gradient clip value","localized":"","hint":""},
|
|
{"id":"","label":"create interim hypernetworks","localized":"","hint":""},
|
|
{"id":"","label":"Original model","localized":"원본 모델","hint":""}
|
|
],
|
|
"settings": [
|
|
{"id":"","label":"Stable Diffusion checkpoint","localized":"Stable Diffusion 체크포인트","hint":""},
|
|
{"id":"","label":"Stable Diffusion refiner","localized":"Stable Diffusion 리파이너","hint":""},
|
|
{"id":"","label":"Stable Diffusion checkpoint autoload on server start","localized":"서버가 시작될 때 체크포인트를 로드","hint":""},
|
|
{"id":"","label":"Stable Diffusion checkpoint dict","localized":"","hint":""},
|
|
{"id":"","label":"Disallow usage of checkpoints in ckpt format","localized":"ckpt 파일 사용 안 함","hint":""},
|
|
{"id":"","label":"Model compile fullgraph","localized":"","hint":""},
|
|
{"id":"","label":"create zip archive when downloading multiple images","localized":"여러 이미지를 다운로드할 때 zip 파일 생성","hint":""},
|
|
{"id":"","label":"samplers solver order where applicable","localized":"","hint":""},
|
|
{"id":"","label":"samplers should use karras sigmas where applicable","localized":"","hint":""},
|
|
{"id":"","label":"samplers should use use lower-order solvers in the final steps where applicable","localized":"","hint":""},
|
|
{"id":"","label":"samplers should use dynamic thresholding where applicable","localized":"","hint":""},
|
|
{"id":"","label":"Number of cached model checkpoints","localized":"","hint":"The amount of models to store in RAM for quick access"},
|
|
{"id":"","label":"Number of cached VAE checkpoints","localized":"","hint":"The amount of VAE files to store in RAM for quick access"},
|
|
{"id":"","label":"Select VAE","localized":"VAE","hint":"VAE helps with fine details in the final image and may also alter colors"},
|
|
{"id":"","label":"Enable splitting of hires batch processing","localized":"","hint":"Reduces VRAM usage when using hires fix on batches of images"},
|
|
{"id":"","label":"Load models using stream loading method","localized":"","hint":"When loading models attempt stream loading optimized for slow or network storage"},
|
|
{"id":"","label":"When loading models attempt to reuse previous model dictionary","localized":"모델을 로드할 때 이전 모델의 딕셔너리 재사용 시도","hint":""},
|
|
{"id":"","label":"Disable cross-attention layer optimization","localized":"비활성화","hint":"Disable the all cross-attention optimization. May result in higher VRAM usage and longer generation times"},
|
|
{"id":"","label":"xFormers","localized":"","hint":"Memory optimization. Non-Deterministic (different results each time)"},
|
|
{"id":"","label":"Scaled-Dot-Product","localized":"","hint":"Memory optimization. Non-Deterministic unless SDP memory attention is disabled."},
|
|
{"id":"","label":"Doggettx's","localized":"","hint":""},
|
|
{"id":"","label":"InvokeAI's","localized":"","hint":""},
|
|
{"id":"","label":"Sub-quadratic","localized":"","hint":""},
|
|
{"id":"","label":"Split attention","localized":"","hint":""},
|
|
{"id":"","label":"xFormers enable flash Attention","localized":"xFormers Flash Attention 활성화","hint":""},
|
|
{"id":"","label":"SDP disable memory attention","localized":"SDP Memory Attention 비활성화","hint":""},
|
|
{"id":"","label":"Sub-quadratic cross-attention query chunk size","localized":"Sub-quadratic 크로스 어텐션 쿼리 청크 크기","hint":""},
|
|
{"id":"","label":"Sub-quadratic cross-attention kv chunk size","localized":"Sub-quadratic 크로스 어텐션 kv 청크 크기","hint":""},
|
|
{"id":"","label":"Sub-quadratic cross-attention chunking threshold","localized":"Sub-quadratic 크로스 어텐션 청크 분할 임계값","hint":""},
|
|
{"id":"","label":"Full parser","localized":"","hint":""},
|
|
{"id":"","label":"Compel parser","localized":"","hint":""},
|
|
{"id":"","label":"A1111 parser","localized":"","hint":""},
|
|
{"id":"","label":"Fixed attention","localized":"","hint":""},
|
|
{"id":"","label":"Prompt attention mean normalization","localized":"","hint":""},
|
|
{"id":"","label":"Disable conditional batching enabled on low memory systems","localized":"","hint":""},
|
|
{"id":"","label":"Enable samplers quantization for sharper and cleaner results","localized":"","hint":""},
|
|
{"id":"","label":"Prompt padding for long prompts","localized":"","hint":"Increase coherency by padding from the last comma within n tokens when using more than 75 tokens"},
|
|
{"id":"","label":"Original","localized":"","hint":""},
|
|
{"id":"","label":"Diffusers","localized":"","hint":""},
|
|
{"id":"","label":"VRAM usage polls per second during generation","localized":"","hint":""},
|
|
{"id":"","label":"Autocast","localized":"","hint":""},
|
|
{"id":"","label":"Full","localized":"","hint":""},
|
|
{"id":"","label":"FP32","localized":"","hint":""},
|
|
{"id":"","label":"FP16","localized":"","hint":""},
|
|
{"id":"","label":"BF16","localized":"","hint":""},
|
|
{"id":"","label":"Use full precision for model (--no-half)","localized":"모델에 단정밀도 사용 (--no-half)","hint":"모델을 단정밀도 부동소수점(FP32)으로 불러온다. VRAM을 많이 사용하고 생성 속도가 느려지지만 더 좋은 결과물을 얻을 수도 있다."},
|
|
{"id":"","label":"Use full precision for VAE (--no-half-vae)","localized":"VAE에 단정밀도 사용 (--no-half-vae)","hint":"VAE를 단정밀도 부동소수점(FP32)으로 불러온다. VRAM을 많이 사용하고 생성 속도가 느려지지만 더 좋은 결과물을 얻을 수도 있다."},
|
|
{"id":"","label":"Enable upcast sampling","localized":"Upcast sampling 활성화","hint":"메모리를 덜 사용하고 좋은 성능을 내면서도 --no-half를 사용할 때와 비슷한 결과물을 얻을 수 있다."},
|
|
{"id":"","label":"Enable upcast cross attention layer","localized":"Upcast cross attention layer 활성화","hint":""},
|
|
{"id":"","label":"Disable NaN check in produced images/latent spaces","localized":"생성된 이미지와 잠재 공간(latent space)에 대해 NaN 검사를 하지 않음","hint":""},
|
|
{"id":"","label":"Attempt VAE roll back when produced NaN values (experimental)","localized":"NaN 값이 발견되었을 때 VAE 롤백 시도 (실험적)","hint":"Torch 2.1을 사용 중이고 NaN 검사가 활성화되어 있어야 한다."},
|
|
{"id":"","label":"Use channels last as torch memory format","localized":"Channels last 메모리 형식 사용","hint":""},
|
|
{"id":"","label":"Enable full-depth cuDNN benchmark feature","localized":"Full-depth cuDNN benchmark 기능 활성화","hint":""},
|
|
{"id":"","label":"Allow TF32 math ops","localized":"TF32 연산 허용","hint":""},
|
|
{"id":"","label":"Allow TF16 reduced precision math ops","localized":"TF16 연산 허용","hint":""},
|
|
{"id":"","label":"Enable model compile (experimental)","localized":"모델 컴파일 활성화 (실험적)","hint":""},
|
|
{"id":"","label":"inductor","localized":"","hint":""},
|
|
{"id":"","label":"cudagraphs","localized":"","hint":""},
|
|
{"id":"","label":"aot_ts_nvfuser","localized":"","hint":""},
|
|
{"id":"","label":"hidet","localized":"","hint":""},
|
|
{"id":"","label":"ipex","localized":"","hint":""},
|
|
{"id":"","label":"Model compile verbose mode","localized":"","hint":""},
|
|
{"id":"","label":"Model compile suppress errors","localized":"모델 컴파일 시 오류 억제","hint":""},
|
|
{"id":"","label":"Disable Torch memory garbage collection","localized":"Torch 메모리 정리 비활성화","hint":"이미지 생성 시 메모리 정리를 하지 않는다. CG will still run before & after model load as well when low GPU memory threshold is reached."},
|
|
{"id":"","label":"Enable IPEX Optimize for Intel GPUs","localized":"","hint":""},
|
|
{"id":"","label":"DirectML memory stats provider","localized":"DirectML GPU 메모리 정보 제공자","hint":"어떻게 GPU 메모리 정보를 가져올 것인지 정한다."},
|
|
{"id":"","label":"DirectML retry ops for NaN","localized":"DirectML NaN 발생 시 재시도","hint":"특정 연산에서 NaN이 발생할 시 해당 연산을 같은 파라미터로 다시 시도한다. 이미지 생성이 느려지지만 NaN이나 검은 이미지가 생성되는 것을 어느 정도 방지한다."},
|
|
{"id":"","label":"Olive use FP16 on optimization","localized":"Olive 최적화 시 반정밀도 사용","hint":"Olive의 OrtTransformersOptimization으로 모델을 최적화할 때 반정밀도 부동소수점(FP16)을 사용한다. 비활성화 시 단정밀도 부동소수점(FP32)을 사용한다."},
|
|
{"id":"","label":"Olive force FP32 for VAE Encoder","localized":"Olive VAE Encoder에 단정밀도 강제","hint":"VAE Encoder에 단정밀도 부동소수점(FP32)을 강제한다. '최적화 시 반정밀도 사용'을 무시한다. Img2Img에서 NaN이나 검은 이미지가 생성된다면 캐시를 삭제하고 VAE Encoder에 단정밀도를 사용하여 다시 시도하면 해결될 수 있다."},
|
|
{"id":"","label":"Olive use static dimensions","localized":"Olive 차원 고정","hint":"Olive로 최적화된 모델의 추론 속도를 매우 빠르게 만든다. (OrtTransformersOptimization)"},
|
|
{"id":"","label":"Olive cache optimized models","localized":"Olive 최적화된 모델 저장 (캐시)","hint":"Olive로 처리한 모델들을 캐시로 저장한다. ONNX 탭에서 관리할 수 있다."},
|
|
{"id":"","label":"Directory for temporary images; leave empty for default","localized":"임시 이미지 저장 위치 (비워 놓으면 기본값)","hint":""},
|
|
{"id":"","label":"Cleanup non-default temporary directory when starting webui","localized":"임시 위치가 기본값이 아닌 경우 WebUI 시작 시 비우기","hint":""},
|
|
{"id":"","label":"Path to directory with stable diffusion checkpoints","localized":"체크포인트 위치","hint":""},
|
|
{"id":"","label":"Path to directory with stable diffusion diffusers","localized":"Diffusers 모델 위치","hint":""},
|
|
{"id":"","label":"Path to directory with VAE files","localized":"VAE 위치","hint":""},
|
|
{"id":"","label":"Embeddings directory for textual inversion","localized":"임베딩 위치","hint":""},
|
|
{"id":"","label":"Hypernetwork directory","localized":"하이퍼 네트워크 위치","hint":""},
|
|
{"id":"","label":"Path to directory with codeformer model file(s)","localized":"CodeFormer 모델 파일 위치","hint":""},
|
|
{"id":"","label":"Path to directory with GFPGAN model file(s)","localized":"GFPGAN 모델 위치","hint":""},
|
|
{"id":"","label":"Path to directory with ESRGAN model file(s)","localized":"ESRGAN 모델 위치","hint":""},
|
|
{"id":"","label":"Path to directory with BSRGAN model file(s)","localized":"BSRGAN 모델 위치","hint":""},
|
|
{"id":"","label":"Path to directory with RealESRGAN model file(s)","localized":"RealESRGAN 모델 위치","hint":""},
|
|
{"id":"","label":"Path to directory with ScuNET model file(s)","localized":"ScuNET 모델 위치","hint":""},
|
|
{"id":"","label":"Path to directory with SwinIR model file(s)","localized":"SwinIR 모델 위치","hint":""},
|
|
{"id":"","label":"Path to directory with LDSR model file(s)","localized":"LDSR 모델 위치","hint":""},
|
|
{"id":"","label":"Path to directory with CLIP model file(s)","localized":"CLIP 모델 위치","hint":""},
|
|
{"id":"","label":"Path to directory with Lora network(s)","localized":"Lora 위치","hint":""},
|
|
{"id":"","label":"Path to directory with LyCORIS network(s)","localized":"LyCORIS 위치","hint":""},
|
|
{"id":"","label":"Path to user-defined styles file","localized":"프롬프트 스타일 위치","hint":""},
|
|
{"id":"","label":"Always save all generated images","localized":"항상 생성된 모든 이미지 저장","hint":""},
|
|
{"id":"","label":"File format for generated images","localized":"생성된 이미지의 파일 형식","hint":"이미지 파일 형식을 선택한다."},
|
|
{"id":"","label":"Include metadata in saved images","localized":"저장된 이미지에 메타데이터 포함","hint":"이미지 파일에 이미지 생성 파라미터를 메타데이터로 저장한다."},
|
|
{"id":"","label":"Images filename pattern","localized":"이미지 파일명 패턴","hint":"Use following tags to define how filenames for images are chosen:<br><pre>seq, uuid<br>date, datetime, job_timestamp<br>generation_number, batch_number<br>model, model_shortname<br>model_hash, model_name<br>sampler, seed, steps, cfg<br>clip_skip, denoising<br>hasprompt, prompt, styles<br>prompt_hash, prompt_no_styles<br>prompt_spaces, prompt_words<br>height, width, image_hash<br></pre>"},
|
|
{"id":"","label":"Add number to filename when saving","localized":"저장 시 파일명에 숫자 추가","hint":""},
|
|
{"id":"","label":"Always save all generated image grids","localized":"항상 생성된 모든 그리드 이미지 저장","hint":""},
|
|
{"id":"","label":"File format for grids","localized":"그리드 이미지 파일 포맷","hint":""},
|
|
{"id":"","label":"Add extended info (seed, prompt) to filename when saving grid","localized":"그리드 저장 시 추가 정보(시드, 프롬프트)를 파일 명에 추가","hint":""},
|
|
{"id":"","label":"Do not save grids consisting of one picture","localized":"","hint":""},
|
|
{"id":"","label":"Prevent empty spots in grid (when set to autodetect)","localized":"","hint":""},
|
|
{"id":"","label":"Grid row count","localized":"그리드 열 수","hint":"Use -1 for autodetect and 0 for it to be same as batch size"},
|
|
{"id":"","label":"Create text file next to every image with generation parameters","localized":"","hint":""},
|
|
{"id":"","label":"Create JSON log file for each saved image","localized":"저장된 이미지마다 JSON 로그 파일 생성","hint":"Save image information to a JSON file"},
|
|
{"id":"","label":"Save copy of image before doing face restoration","localized":"얼굴 복원 전에 이미지 저장","hint":""},
|
|
{"id":"","label":"Save copy of image before applying highres fix","localized":"업스케일(Hires fix) 전에 이미지 저장","hint":""},
|
|
{"id":"","label":"Save copy of image before applying color correction","localized":"색 보정 전에 이미지 저장","hint":""},
|
|
{"id":"","label":"Save copy of the inpainting greyscale mask","localized":"","hint":""},
|
|
{"id":"","label":"Save copy of inpainting masked composite","localized":"","hint":""},
|
|
{"id":"","label":"Save copy of processing init images","localized":"","hint":""},
|
|
{"id":"","label":"Quality for saved jpeg images","localized":"","hint":""},
|
|
{"id":"","label":"Use lossless compression for webp images","localized":"webp 이미지에 무손실 압축 사용","hint":""},
|
|
{"id":"","label":"Maximum allowed image size in megapixels","localized":"최대 이미지 크기 (메가픽셀)","hint":""},
|
|
{"id":"","label":"Use original name for output filename during batch process","localized":"","hint":""},
|
|
{"id":"","label":"Use upscaler name as filename suffix in the extras tab","localized":"","hint":""},
|
|
{"id":"","label":"When using 'Save' button, only save a single selected image","localized":"저장 버튼 사용 시 선택된 이미지 하나만 저장","hint":""},
|
|
{"id":"","label":"Save images to a subdirectory","localized":"이미지를 하위 폴더에 저장","hint":""},
|
|
{"id":"","label":"Save grids to a subdirectory","localized":"그리드를 하위 폴더에 저장","hint":""},
|
|
{"id":"","label":"Save images to a subdirectory when using Save button","localized":"저장 버튼 사용 시 하위 폴더에 이미지 저장","hint":""},
|
|
{"id":"","label":"Directory name pattern","localized":"폴더 이름 패턴","hint":"Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg],[prompt_hash], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [model_name], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default"},
|
|
{"id":"","label":"Max prompt words for [prompt_words] pattern","localized":"","hint":""},
|
|
{"id":"","label":"Apply color correction to match original colors","localized":"","hint":""},
|
|
{"id":"","label":"For image processing do exact number of steps as specified","localized":"","hint":""},
|
|
{"id":"","label":"Image transparent color fill","localized":"","hint":""},
|
|
{"id":"","label":"Inpainting conditioning mask strength","localized":"","hint":"Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked (default). 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes"},
|
|
{"id":"","label":"Noise multiplier for image processing","localized":"","hint":""},
|
|
{"id":"","label":"Clip skip","localized":"클립 스킵","hint":"Early stopping parameter for CLIP model; 1 is stop at last layer as usual, 2 is stop at penultimate layer, etc"},
|
|
{"id":"","label":"Output directory for images","localized":"이미지 출력 위치","hint":"If empty, defaults to three directories below"},
|
|
{"id":"","label":"Output directory for txt2img images","localized":"텍스트➠이미지 출력 위치","hint":""},
|
|
{"id":"","label":"Output directory for img2img images","localized":"이미지➠이미지 출력 위치","hint":""},
|
|
{"id":"","label":"Output directory for images from extras tab","localized":"","hint":""},
|
|
{"id":"","label":"Output directory for grids","localized":"그리드 출력 위치","hint":"If empty, defaults to two directories below"},
|
|
{"id":"","label":"Output directory for txt2img grids","localized":"텍스트➠이미지 그리드 출력 위치","hint":""},
|
|
{"id":"","label":"Output directory for img2img grids","localized":"이미지➠이미지 그리드 출력 위치","hint":""},
|
|
{"id":"","label":"Directory for saving images using the Save button","localized":"저장 버튼으로 저장 시 출력 위치","hint":""},
|
|
{"id":"","label":"Directory for saving init images when using img2img","localized":"","hint":""},
|
|
{"id":"","label":"UI theme","localized":"UI 테마","hint":""},
|
|
{"id":"","label":"Auto","localized":"자동","hint":""},
|
|
{"id":"","label":"Dark","localized":"어둡게","hint":""},
|
|
{"id":"","label":"Light","localized":"밝게","hint":""},
|
|
{"id":"","label":"Show grid in results for web","localized":"","hint":""},
|
|
{"id":"","label":"For inpainting, include the greyscale mask in results for web","localized":"","hint":""},
|
|
{"id":"","label":"For inpainting, include masked composite in results for web","localized":"","hint":""},
|
|
{"id":"","label":"Do not change selected model when reading generation parameters","localized":"","hint":""},
|
|
{"id":"","label":"Send seed when sending prompt or image to other interface","localized":"","hint":""},
|
|
{"id":"","label":"Send size when sending prompt or image to another interface","localized":"","hint":""},
|
|
{"id":"","label":"Font for image grids that have text","localized":"","hint":""},
|
|
{"id":"","label":"Ctrl+up/down precision when editing (attention:1.1)","localized":"(attention:1.1) 수정 시 컨트롤+상/하 조절 정밀도","hint":""},
|
|
{"id":"","label":"Ctrl+up/down precision when editing <extra networks:0.9>","localized":"<extra networks:0.9> 수정 시 컨트롤+상/하 조절 정밀도","hint":""},
|
|
{"id":"","label":"Ctrl+up/down word delimiters","localized":"","hint":""},
|
|
{"id":"","label":"Quicksettings list","localized":"빠른 설정 목록","hint":"List of setting names, separated by commas, for settings that should go to the quick access bar at the top instead the setting tab"},
|
|
{"id":"","label":"Hidden UI tabs","localized":"숨긴 UI 탭","hint":""},
|
|
{"id":"","label":"UI tabs order","localized":"UI 탭 순서","hint":""},
|
|
{"id":"","label":"UI scripts order","localized":"UI 스크립트 순서","hint":""},
|
|
{"id":"","label":"txt2img/img2img UI item order","localized":"텍스트➠이미지/이미지➠이미지 UI 순서","hint":""},
|
|
{"id":"","label":"Show progressbar","localized":"진행도 보기","hint":""},
|
|
{"id":"","label":"Show live previews of the created image","localized":"라이브 프리뷰 보기","hint":""},
|
|
{"id":"","label":"Show previews of all images generated in a batch as a grid","localized":"","hint":""},
|
|
{"id":"","label":"Play a sound when images are finished generating","localized":"생성이 끝나면 소리로 알리기","hint":""},
|
|
{"id":"","label":"Path to notification sound","localized":"알림 소리 위치","hint":""},
|
|
{"id":"","label":"Live preview display period","localized":"라이브 프리뷰 주기","hint":""},
|
|
{"id":"","label":"Full VAE","localized":"VAE 사용","hint":""},
|
|
{"id":"","label":"Approximate NN","localized":"","hint":"Cheap neural network approximation. Very fast compared to VAE, but produces pictures with 4 times smaller horizontal/vertical resolution and lower quality"},
|
|
{"id":"","label":"Approximate simple","localized":"","hint":"Very cheap approximation. Very fast compared to VAE, but produces pictures with 8 times smaller horizontal/vertical resolution and extremely low quality"},
|
|
{"id":"","label":"TAESD","localized":"","hint":""},
|
|
{"id":"","label":"Combined","localized":"모두","hint":""},
|
|
{"id":"","label":"Progressbar/preview update period, in milliseconds","localized":"진행도 바와 프리뷰 업데이트 주기 (ms)","hint":""},
|
|
{"id":"","label":"Euler a","localized":"","hint":"Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps higher than 30-40 does not help"},
|
|
{"id":"","label":"Euler","localized":"","hint":""},
|
|
{"id":"","label":"LMS","localized":"","hint":""},
|
|
{"id":"","label":"Heun","localized":"","hint":""},
|
|
{"id":"","label":"DPM2","localized":"","hint":""},
|
|
{"id":"","label":"DPM2 a","localized":"","hint":""},
|
|
{"id":"","label":"DPM++ 2S a","localized":"","hint":""},
|
|
{"id":"","label":"DPM++ 2M","localized":"","hint":""},
|
|
{"id":"","label":"DPM++ SDE","localized":"","hint":""},
|
|
{"id":"","label":"DPM++ 2M SDE","localized":"","hint":""},
|
|
{"id":"","label":"DPM fast","localized":"","hint":""},
|
|
{"id":"","label":"DPM adaptive","localized":"","hint":"Ignores step count - uses a number of steps determined by the CFG and resolution"},
|
|
{"id":"","label":"LMS Karras","localized":"","hint":""},
|
|
{"id":"","label":"DPM2 Karras","localized":"","hint":""},
|
|
{"id":"","label":"DPM2 a Karras","localized":"","hint":""},
|
|
{"id":"","label":"DPM++ 2S a Karras","localized":"","hint":""},
|
|
{"id":"","label":"DPM++ 2M Karras","localized":"","hint":""},
|
|
{"id":"","label":"DPM++ SDE Karras","localized":"","hint":""},
|
|
{"id":"","label":"DPM++ 2M SDE Karras","localized":"","hint":""},
|
|
{"id":"","label":"DDIM","localized":"","hint":"Denoising Diffusion Implicit Models - best at inpainting"},
|
|
{"id":"","label":"UniPC","localized":"","hint":"Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models"},
|
|
{"id":"","label":"Force latent upscaler sampler","localized":"","hint":"Force specific sampler for second pass operations"},
|
|
{"id":"","label":"Noise multiplier for ancestral samplers (eta)","localized":"","hint":""},
|
|
{"id":"","label":"Noise multiplier for DDIM (eta)","localized":"","hint":""},
|
|
{"id":"","label":"uniform","localized":"","hint":""},
|
|
{"id":"","label":"quad","localized":"","hint":""},
|
|
{"id":"","label":"sigma churn","localized":"","hint":""},
|
|
{"id":"","label":"sigma negative guidance minimum","localized":"","hint":"Skip negative prompt for some steps when the image is almost ready, 0=disable"},
|
|
{"id":"","label":"sigma tmin","localized":"","hint":""},
|
|
{"id":"","label":"sigma noise","localized":"","hint":""},
|
|
{"id":"","label":"Noise seed delta (eta)","localized":"","hint":""},
|
|
{"id":"","label":"Always discard next-to-last sigma","localized":"","hint":""},
|
|
{"id":"","label":"bh1","localized":"","hint":""},
|
|
{"id":"","label":"bh2","localized":"","hint":""},
|
|
{"id":"","label":"vary_coeff","localized":"","hint":""},
|
|
{"id":"","label":"time_uniform","localized":"","hint":""},
|
|
{"id":"","label":"time_quadratic","localized":"","hint":""},
|
|
{"id":"","label":"logSNR","localized":"","hint":""},
|
|
{"id":"","label":"UniPC order (must be < sampling steps)","localized":"","hint":""},
|
|
{"id":"","label":"UniPC lower order final","localized":"","hint":""},
|
|
{"id":"","label":"Enable additional postprocessing operations","localized":"추가 후처리 작업","hint":""},
|
|
{"id":"","label":"Postprocessing operation order","localized":"후처리 작업 순서","hint":""},
|
|
{"id":"","label":"Maximum number of images in upscaling cache","localized":"","hint":""},
|
|
{"id":"","label":"Move VAE and CLIP to RAM when training if possible","localized":"가능하다면 학습 시 VAE와 CLIP 모델을 램으로 이동","hint":""},
|
|
{"id":"","label":"Pin training dataset to memory","localized":"","hint":""},
|
|
{"id":"","label":"Save resumable optimizer state when training","localized":"","hint":""},
|
|
{"id":"","label":"Save training settings to a text file on training start","localized":"","hint":""},
|
|
{"id":"","label":"Filename word regex","localized":"","hint":"This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is"},
|
|
{"id":"","label":"Filename join string","localized":"","hint":"This string will be used to join split words into a single line if the option above is enabled"},
|
|
{"id":"","label":"Embeddings train templates directory","localized":"","hint":""},
|
|
{"id":"","label":"Number of repeats for a single input image per epoch","localized":"","hint":"Used only for displaying epoch number"},
|
|
{"id":"","label":"Save CSV file containing the loss to log directory","localized":"손실 값을 담은 CSV 파일을 로그 위치에 저장","hint":"Save CSV file containing the loss to log directory every N steps, 0 to disable"},
|
|
{"id":"","label":"Enable tensorboard logging","localized":"","hint":""},
|
|
{"id":"","label":"Save generated images within tensorboard","localized":"","hint":""},
|
|
{"id":"","label":"Tensorboard flush period","localized":"","hint":"How often, in seconds, to flush the pending Tensorboard events and summaries to disk"},
|
|
{"id":"","label":"Interrogate: keep models in VRAM","localized":"이미지➠텍스트: 모델을 VRAM에 유지","hint":""},
|
|
{"id":"","label":"Interrogate: include ranks of model tags matches in results","localized":"","hint":""},
|
|
{"id":"","label":"Interrogate: num_beams for BLIP","localized":"","hint":""},
|
|
{"id":"","label":"Interrogate: minimum description length","localized":"","hint":"Interrogate: minimum description length (excluding artists, etc..)"},
|
|
{"id":"","label":"Interrogate: maximum description length","localized":"","hint":""},
|
|
{"id":"","label":"CLIP: maximum number of lines in text file","localized":"","hint":"CLIP: maximum number of lines in text file (0 = No limit)"},
|
|
{"id":"","label":"flavors","localized":"","hint":""},
|
|
{"id":"","label":"artists","localized":"","hint":""},
|
|
{"id":"","label":"mediums","localized":"","hint":""},
|
|
{"id":"","label":"movements","localized":"","hint":""},
|
|
{"id":"","label":"Interrogate: deepbooru score threshold","localized":"","hint":""},
|
|
{"id":"","label":"Interrogate: deepbooru sort alphabetically","localized":"","hint":""},
|
|
{"id":"","label":"Use spaces for tags in deepbooru","localized":"","hint":""},
|
|
{"id":"","label":"Escape brackets in deepbooru","localized":"","hint":"Escape (\\) brackets in deepbooru so they are used as literal brackets and not for emphasis"},
|
|
{"id":"","label":"Filter out tags from deepbooru output","localized":"","hint":"Filter out those tags from deepbooru output (separated by comma)"},
|
|
{"id":"","label":"Default upscaler for image resize operations","localized":"","hint":""},
|
|
{"id":"","label":"Tile size for ESRGAN upscalers","localized":"","hint":"0 = no tiling"},
|
|
{"id":"","label":"Tile overlap in pixels for ESRGAN upscalers","localized":"","hint":"Low values = visible seam"},
|
|
{"id":"","label":"Tile size for SCUNET upscalers","localized":"","hint":"0 = no tiling"},
|
|
{"id":"","label":"Tile overlap for SCUNET upscalers","localized":"","hint":" Low values = visible seam"},
|
|
{"id":"","label":"Hires fix uses width & height to set final resolution","localized":"","hint":"Hires fix uses width & height to set final resolution rather than first pass"},
|
|
{"id":"","label":"Do not fix prompt schedule for second order samplers","localized":"","hint":""},
|
|
{"id":"","label":"CodeFormer","localized":"","hint":""},
|
|
{"id":"","label":"GFPGAN","localized":"","hint":"Restore low quality faces using GFPGAN neural network"},
|
|
{"id":"","label":"CodeFormer weight parameter","localized":"CodeFormer 가중치 파라미터","hint":"0 = 최고 효과; 1 = 최소 효과"},
|
|
{"id":"","label":"Move face restoration model from VRAM into RAM after processing","localized":"생성 후 얼굴 복원 모델을 RAM으로 이동","hint":""},
|
|
{"id":"","label":"Token merging ratio","localized":"토큰 병합 비율","hint":"속도와 메모리 절감을 위해 tomesd를 사용해 토큰 병합을 활성화한다. (0이면 비활성화)"},
|
|
{"id":"","label":"Token merging ratio for img2img","localized":"이미지➠이미지 토큰 병합 비율","hint":"속도와 메모리 절감을 위해 이미지➠이미지에서 tomesd를 사용해 토큰 병합을 활성화한다. (0이면 비활성화)"},
|
|
{"id":"","label":"Token merging ratio for hires pass","localized":"텍스트➠이미지 업스케일링(Hires fix) 토큰 병합 비율","hint":"속도와 메모리 절감을 위해 Hires fix에서 tomesd를 사용해 토큰 병합을 활성화한다. (0이면 비활성화)"},
|
|
{"id":"","label":"Select diffuser pipeline when loading from safetensors","localized":"safetensors 파일에서 로드할 때 사용할 파이프라인 선택","hint":""},
|
|
{"id":"","label":"Move base model to CPU when using refiner","localized":"리파이너를 사용 중일 때 base 모델을 CPU로 이동","hint":""},
|
|
{"id":"","label":"Move refiner model to CPU when not in use","localized":"사용 중이지 않을 때 리파이너 모델을 CPU로 이동","hint":""},
|
|
{"id":"","label":"Move UNet to CPU while VAE decoding","localized":"VAE 디코딩 시 UNet을 CPU로 이동","hint":""},
|
|
{"id":"","label":"Use model EMA weights when possible","localized":"가능하다면 모델의 EMA 가중치 사용","hint":""},
|
|
{"id":"","label":"Generator device","localized":"난수 생성 장치","hint":""},
|
|
{"id":"","label":"Enable sequential CPU offload","localized":"순차 CPU 오프로드 활성화","hint":"가중치를 CPU로 옮겨 GPU 메모리 사용률을 낮춘다. 속도가 약 10% 느려진다. Use with 어텐션 슬라이싱 활성화 for minimal memory consumption"},
|
|
{"id":"","label":"Enable model CPU offload","localized":"모델 CPU 오프로드 활성화","hint":"전체 모델을 GPU로 옮긴다. 여전히 GPU 메모리 사용률을 약간 낮춰주지만 생성 속도에는 무시할 수 있는 정도의 영향을 준다. 추가적인 메모리 절약을 위해서는 어텐션 슬라이싱과 함께 사용한다."},
|
|
{"id":"","label":"Enable VAE slicing","localized":"VAE 슬라이싱 활성화","hint":"Decodes batch latents one image at a time with limited VRAM. 여러 이미지를 다룰 때 VAE 해독 시 작은 성능 향상이 있다. 어텐션 슬라이싱과 함께 사용한다."},
|
|
{"id":"","label":"Enable VAE tiling","localized":"VAE 타일링 활성화","hint":"Divide large images into overlapping tiles with limited VRAM. 생성 시간이 약간 늘어날 수 있다. 어텐션 슬라이싱과 함께 사용한다."},
|
|
{"id":"","label":"Enable attention slicing","localized":"어텐션 슬라이싱 활성화","hint":"Performs attention computation in steps instead of all at once. 생성이 10% 느려지지만 메모리 사용률을 매우 크게 줄여준다."},
|
|
{"id":"","label":"Diffusers model loading variant","localized":"","hint":""},
|
|
{"id":"","label":"Diffusers VAE loading variant","localized":"","hint":""},
|
|
{"id":"","label":"Execution Provider","localized":"","hint":"ONNX Execution Provider"},
|
|
{"id":"","label":"ONNX allow fallback to CPU","localized":"ONNX 생성 실패 시 CPU를 사용해 다시 시도","hint":"선택한 Execution Provider에서 오류가 발생했을 경우 CPU를 사용해 다시 시도한다."},
|
|
{"id":"","label":"ONNX cache converted models","localized":"ONNX 모델 저장 (캐시)","hint":"ONNX 형식으로 변환된 모델을 캐시로 저장한다. ONNX 탭에서 관리할 수 있다."},
|
|
{"id":"","label":"ONNX unload base model when processing refiner","localized":"ONNX 리파이너를 처리하고 있을 때 base 모델을 메모리에서 해제","hint":"리파이너 모델이 변환, 최적화 또는 처리되고 있을 때 base 모델을 메모리에서 잠시 해제합니다."}
|
|
],
|
|
"scripts": [
|
|
{"id":"","label":"Script","localized":"스크립트","hint":""},
|
|
{"id":"","label":"Swap X/Y","localized":"X/Y 교환","hint":""},
|
|
{"id":"","label":"Swap Y/Z","localized":"Y/Z 교환","hint":""},
|
|
{"id":"","label":"Swap X/Z","localized":"X/Z 교환","hint":""},
|
|
{"id":"","label":"Resize to","localized":"리사이즈","hint":""},
|
|
{"id":"","label":"Resize by","localized":"리사이즈 (배율)","hint":""},
|
|
{"id":"","label":"Use via API","localized":"API를 통해 사용","hint":""},
|
|
{"id":"","label":"Styles","localized":"프롬프트 스타일","hint":""},
|
|
{"id":"","label":"Put variable parts at start of prompt","localized":"","hint":""},
|
|
{"id":"","label":"Use different seed for each picture","localized":"","hint":""},
|
|
{"id":"","label":"positive","localized":"","hint":""},
|
|
{"id":"","label":"negative","localized":"","hint":""},
|
|
{"id":"","label":"comma","localized":"","hint":""},
|
|
{"id":"","label":"space","localized":"","hint":""},
|
|
{"id":"","label":"Iterate seed every line","localized":"","hint":""},
|
|
{"id":"","label":"Use same random seed for all lines","localized":"","hint":""},
|
|
{"id":"","label":"List of prompt inputs","localized":"","hint":""},
|
|
{"id":"","label":"X type","localized":"","hint":""},
|
|
{"id":"","label":"X values","localized":"","hint":"Separate values for X axis using commas"},
|
|
{"id":"","label":"Y type","localized":"","hint":""},
|
|
{"id":"","label":"Y values","localized":"","hint":"Separate values for Y axis using commas"},
|
|
{"id":"","label":"Z type","localized":"","hint":""},
|
|
{"id":"","label":"Z values","localized":"","hint":""},
|
|
{"id":"","label":"Draw legend","localized":"","hint":""},
|
|
{"id":"","label":"Keep random for seeds","localized":"","hint":""},
|
|
{"id":"","label":"Do not create grid","localized":"그리드를 생성하지 않음","hint":""},
|
|
{"id":"","label":"Include Sub Images","localized":"","hint":""},
|
|
{"id":"","label":"Include Sub Grids","localized":"","hint":""},
|
|
{"id":"","label":"Override `Sampling method` to Euler","localized":"","hint":"(this method is built for it)"},
|
|
{"id":"","label":"Override `prompt` to the same value as `original prompt`","localized":"","hint":""},
|
|
{"id":"","label":"Original prompt","localized":"","hint":""},
|
|
{"id":"","label":"Original negative prompt","localized":"","hint":""},
|
|
{"id":"","label":"Override `Sampling Steps` to the same value as `Decode steps`?","localized":"","hint":""},
|
|
{"id":"","label":"Decode steps","localized":"","hint":""},
|
|
{"id":"","label":"Override `Denoising strength` to 1?","localized":"","hint":""},
|
|
{"id":"","label":"Decode CFG scale","localized":"","hint":""},
|
|
{"id":"","label":"Randomness","localized":"","hint":""},
|
|
{"id":"","label":"Sigma adjustment for finding noise for image","localized":"","hint":""},
|
|
{"id":"","label":"Loops","localized":"","hint":"How many times to process an image. Each output is used as the input of the next loop. If set to 1, behavior will be as if this script were not used"},
|
|
{"id":"","label":"Final denoising strength","localized":"","hint":"The denoising strength for the final loop of each image in the batch"},
|
|
{"id":"","label":"Denoising strength curve","localized":"","hint":"The denoising curve controls the rate of denoising strength change each loop. Aggressive: Most of the change will happen towards the start of the loops. Linear: Change will be constant through all loops. Lazy: Most of the change will happen towards the end of the loops"},
|
|
{"id":"","label":"Append interrogated prompt at each iteration","localized":"","hint":""},
|
|
{"id":"","label":"Pixels to expand","localized":"","hint":""},
|
|
{"id":"","label":"left","localized":"좌","hint":""},
|
|
{"id":"","label":"right","localized":"우","hint":""},
|
|
{"id":"","label":"up","localized":"상","hint":""},
|
|
{"id":"","label":"down","localized":"하","hint":""},
|
|
{"id":"","label":"Fall-off exponent (lower=higher detail)","localized":"","hint":""},
|
|
{"id":"","label":"Color variation","localized":"","hint":""},
|
|
{"id":"","label":"Tile overlap","localized":"","hint":"For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam"},
|
|
{"id":"","label":"Scale Factor","localized":"","hint":""},
|
|
{"id":"","label":"None","localized":"없음","hint":"Do not do anything special"},
|
|
{"id":"","label":"Grid margins","localized":"그리드 간격","hint":""}
|
|
]
|
|
}
|