" images in this directory. Loaded ":"개의 이미지가 이 경로에 존재합니다. ",
" images during ":"개의 이미지를 불러왔고, 생성 기간은 ",
", divided into ":"입니다. ",
" pages":"페이지로 나뉘어 표시합니다.",
"1st and last digit must be 1. ex:'1, 2, 1'":"1st and last digit must be 1. ex:'1, 2, 1'",
"A directory on the same machine where the server is running.":"A directory on the same machine where the server is running.",
"A merger of the two checkpoints will be generated in your":"A merger of the two checkpoints will be generated in your",
"[wiki]":" [위키] 참조",
"A directory on the same machine where the server is running.":"WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리를 선택해 주세요.",
"A merger of the two checkpoints will be generated in your":"체크포인트들이 병합된 결과물이 당신의",
"A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result":"난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
"Add a random artist to the prompt.":"프롬프트에 랜덤한 작가 추가",
"Add a second progress bar to the console that shows progress for an entire job.":"Add a second progress bar to the console that shows progress for an entire job.",
"Add difference":"Add difference",
"Add difference":"차이점 추가",
"Add extended info (seed, prompt) to filename when saving grid":"Add extended info (seed, prompt) to filename when saving grid",
"Checkpoints to cache in RAM":"Checkpoints to cache in RAM",
"Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results":"Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
"Click to Upload":"Click to Upload",
"Clip skip":"클립 건너뛰기",
"CodeFormer visibility":"CodeFormer visibility",
"CodeFormer weight (0 = maximum effect, 1 = minimum effect)":"CodeFormer weight (0 = maximum effect, 1 = minimum effect)",
"CLIP: maximum number of lines in text file (0 = No limit)":"CLIP: maximum number of lines in text file (0 = No limit)",
"CodeFormer visibility":"CodeFormer 가시성",
"CodeFormer weight (0 = maximum effect, 1 = minimum effect)":"CodeFormer 가중치 (0 = 최대 효과, 1 = 최소 효과)",
"Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows":"서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
"Create a text file next to every image with generation parameters.":"Create a text file next to every image with generation parameters.",
"Custom Name (Optional)":"Custom Name (Optional)",
"Crop to fit":"잘라내서 맞추기",
"Custom Name (Optional)":"병합 모델 이름 (선택사항)",
"Dataset directory":"데이터셋 경로",
"DDIM":"DDIM",
"DPM adaptive":"DPM adaptive",
"DPM fast":"DPM fast",
"DPM2 Karras":"DPM2 Karras",
"DPM2 a Karras":"DPM2 a Karras",
"DPM2 a":"DPM2 a",
"DPM2":"DPM2",
"Dataset directory":"Dataset directory",
"Decode CFG scale":"디코딩 CFG 스케일",
"Decode steps":"디코딩 스텝 수",
"Delete":"Delete",
"Delete":"삭제",
"Denoising":"디노이징",
"Denoising Diffusion Implicit Models - best at inpainting":"Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
"Denoising strength change factor":"디노이즈 강도 변경 배수",
"Denoising strength":"디노이즈 강도",
"Denoising":"디노이징",
"Destination directory":"Destination directory",
"Denoising strength change factor":"디노이즈 강도 변경 배수",
"Destination directory":"결과물 저장 경로",
"Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.":"알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
"Directory for saving images using the Save button":"Directory for saving images using the Save button",
"Directory name pattern":"Directory name pattern",
"directory.":"저장 경로에 저장됩니다.",
"Do not add watermark to images":"Do not add watermark to images",
"Do not do anything special":"아무것도 하지 않기",
"Do not save grids consisting of one picture":"Do not save grids consisting of one picture",
"Do not show any images in results for web":"Do not show any images in results for web",
"Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention":"Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention",
"Enable full page image viewer":"Enable full page image viewer",
"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.":"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
"Enter hypernetwork layer structure":"하이퍼네트워크 레이어 구조 입력",
"Error":"오류",
"escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)":"escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
"ESRGAN_4x":"ESRGAN_4x",
"Eta":"Eta",
"Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help":"Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
"Euler a":"Euler a",
"eta (noise multiplier) for ancestral samplers":"eta (noise multiplier) for ancestral samplers",
"eta (noise multiplier) for DDIM":"eta (noise multiplier) for DDIM",
"Eta noise seed delta":"Eta noise seed delta",
"Euler":"Euler",
"Euler a":"Euler a",
"Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help":"Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
"Existing Caption txt Action":"이미 존재하는 캡션 텍스트 처리",
"File format for images":"File format for images",
"File Name":"파일 이름",
"File with inputs":"설정값 파일",
"File":"File",
"Filename join string":"Filename join string",
"Filename word regex":"Filename word regex",
"fill":"채우기",
"fill it with colors of the image":"이미지의 색상으로 채우기",
"fill it with latent space noise":"잠재 공간 노이즈로 채우기",
"fill it with latent space zeroes":"잠재 공간의 0값으로 채우기",
"Filter NSFW content":"Filter NSFW content",
"First Page":"First Page",
"First Page":"처음 페이지",
"Firstpass height":"초기 세로길이",
"Firstpass width":"초기 가로길이",
"Font for image grids that have text":"Font for image grids that have text",
"for detailed explanation.":"를 참조하십시오.",
"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.":"SD 업스케일링에서 타일 간 몇 픽셀을 겹치게 할지 결정하는 설정값입니다. 타일들이 다시 한 이미지로 합쳐질 때, 눈에 띄는 이음매가 없도록 서로 겹치게 됩니다.",
"GFPGAN visibility":"GFPGAN visibility",
"Generate Info":"Generate Info",
"Generate forever":"반복 생성",
"Generate":"생성",
"Generate forever":"반복 생성",
"Generate Info":"생성 정보",
"GFPGAN visibility":"GFPGAN 가시성",
"Grid row count; use -1 for autodetect and 0 for it to be same as batch size":"Grid row count; use -1 for autodetect and 0 for it to be same as batch size",
"Height":"세로",
"Heun":"Heun",
"hide":"api 숨기기",
"Hide samplers in user interface (requires restart)":"Hide samplers in user interface (requires restart)",
"Highres. fix":"고해상도 보정",
"History":"기록",
"Image Browser":"이미지 브라우저",
"Images directory":"이미지 경로",
"extras":"부가기능",
"how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG: 0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.":"how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG: 0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
"How many batches of images to create":"생성할 이미지 배치 수",
"How many image to create in a single batch":"한 배치당 이미지 수",
"How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results":"생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
...
...
@@ -124,26 +164,32 @@
"How much to blur the mask before processing, in pixels.":"이미지 생성 전 마스크를 얼마나 블러처리할지 결정하는 값. 픽셀 단위",
"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).":"바리에이션을 얼마나 줄지 정하는 수치 - 0일 경우 아무것도 바뀌지 않고, 1일 경우 바리에이션 시드로부터 생성된 이미지를 얻게 됩니다. (Ancestral 샘플러 제외 - 이 경우에는 좀 다른 무언가를 얻게 됩니다)",
"Hypernet str.":"하이퍼네트워크 강도",
"Hypernetwork strength":"Hypernetwork strength",
"Hypernetwork":"하이퍼네트워크",
"Hypernetwork Learning rate":"하이퍼네트워크 학습률",
"Hypernetwork strength":"Hypernetwork strength",
"If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG":"If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG",
"If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.":"If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
"If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.":"If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
"ignore":"무시",
"Image":"Image",
"Image for img2img":"Image for img2img",
"Image for inpainting with mask":"Image for inpainting with mask",
"img2img DDIM discretize":"img2img DDIM discretize",
"img2img history":"img2img history",
"In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.":"루프백 모드에서는 매 루프마다 디노이즈 강도에 이 값이 곱해집니다. 1보다 작을 경우 다양성이 낮아져 결과 이미지들이 고정된 형태로 모일 겁니다. 1보다 클 경우 다양성이 높아져 결과 이미지들이 갈수록 혼란스러워지겠죠.",
"Include Separate Images":"분리된 이미지 포함하기",
"Increase coherency by padding from the last comma within n tokens when using more than 75 tokens":"Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
"Initialization text":"Initialization text",
"Inpaint at full resolution padding, pixels":"전체 해상도로 인페인트 패딩값(픽셀 단위)",
"Initialization text":"초기화 텍스트",
"Inpaint":"인페인트",
"Inpaint at full resolution":"전체 해상도로 인페인트하기",
"Inpaint at full resolution padding, pixels":"전체 해상도로 인페인트 패딩값(픽셀 단위)",
"Inpaint masked":"마스크만 처리",
"Inpaint not masked":"마스크 이외만 처리",
"Inpaint":"인페인트",
"Input directory":"인풋 이미지 경로",
"Interpolation Method":"Interpolation Method",
"Interpolation Method":"보간 방법",
"Interrogate\nCLIP":"CLIP\n분석",
"Interrogate\nDeepBooru":"DeepBooru\n분석",
"Interrogate Options":"Interrogate Options",
...
...
@@ -156,49 +202,68 @@
"Interrogate: num_beams for BLIP":"Interrogate: num_beams for BLIP",
"Interrogate: use artists from artists.csv":"Interrogate: use artists from artists.csv",
"Leave blank to save images to the default path.":"기존 저장 경로에 이미지들을 저장하려면 비워두세요.",
"left":"왼쪽",
"linear":"linear",
"List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.":"List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution":"동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
"Make K-diffusion samplers produce same images in a batch as when making a single image":"Make K-diffusion samplers produce same images in a batch as when making a single image",
"Make Zip when Save?":"저장 시 Zip 생성하기",
"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution":"동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
"Mask":"마스크",
"Mask blur":"마스크 블러",
"Mask mode":"Mask mode",
"Mask":"마스크",
"Masked content":"마스크된 부분",
"Masking mode":"Masking mode",
"Max prompt words for [prompt_words] pattern":"Max prompt words for [prompt_words] pattern",
"Max steps":"Max steps",
"Modules":"Modules",
"Max steps":"최대 스텝 수",
"Modules":"모듈",
"Move face restoration model from VRAM into RAM after processing":"Move face restoration model from VRAM into RAM after processing",
"Multiplier (M) - set to 0 to get model A":"Multiplier (M) - set to 0 to get model A",
"Name":"Name",
"Negative prompt (press Ctrl+Enter or Alt+Enter to generate)":"네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
"Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.":"Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.",
"Multiplier (M) - set to 0 to get model A":"배율 (M) - 0으로 적용하면 모델 A를 얻게 됩니다",
"Name":"이름",
"Negative prompt":"네거티브 프롬프트",
"Next Page":"Next Page",
"Negative prompt (press Ctrl+Enter or Alt+Enter to generate)":"네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
"Next batch":"다음 묶음",
"Next Page":"다음 페이지",
"None":"None",
"Nothing":"없음",
"Nothing found in the image.":"Nothing found in the image.",
"number of images to delete consecutively next":"연속적으로 삭제할 이미지 수",
"Number of repeats for a single input image per epoch; used only for displaying epoch number":"Number of repeats for a single input image per epoch; used only for displaying epoch number",
"Number of vectors per token":"Number of vectors per token",
"Number of vectors per token":"토큰별 벡터 수",
"Open for Clip Aesthetic!":"클립 스타일 기능을 활성화하려면 클릭!",
"Open images output directory":"이미지 저장 경로 열기",
"Open output directory":"Open output directory",
"Open output directory":"저장 경로 열기",
"or":"or",
"original":"원본 유지",
"Original negative prompt":"기존 네거티브 프롬프트",
"Original prompt":"기존 프롬프트",
"Outpainting direction":"아웃페인팅 방향",
"Outpainting mk2":"아웃페인팅 마크 2",
"Output directory":"이미지 저장 경로",
"Output directory for grids; if empty, defaults to two directories below":"Output directory for grids; if empty, defaults to two directories below",
"Output directory for images from extras tab":"Output directory for images from extras tab",
"Output directory for images; if empty, defaults to three directories below":"Output directory for images; if empty, defaults to three directories below",
...
...
@@ -206,46 +271,54 @@
"Output directory for img2img images":"Output directory for img2img images",
"Output directory for txt2img grids":"Output directory for txt2img grids",
"Output directory for txt2img images":"Output directory for txt2img images",
"Output directory":"이미지 저장 경로",
"Override `Denoising strength` to 1?":"디노이즈 강도를 1로 적용할까요?",
"Override `Sampling Steps` to the same value as `Decode steps`?":"샘플링 스텝 수를 디코딩 스텝 수와 동일하게 적용할까요?",
"Override `Sampling method` to Euler?(this method is built for it)":"샘플링 방법을 Euler로 적용할까요?(이 기능은 해당 샘플러를 위해 만들어져 있습니다)",
"Override `prompt` to the same value as `original prompt`?(and `negative prompt`)":"프롬프트 값을 기존 프롬프트와 동일하게 적용할까요?(네거티브 프롬프트 포함)",
"PLMS":"PLMS",
"PNG Info":"PNG 정보",
"Page Index":"Page Index",
"Override `Sampling method` to Euler?(this method is built for it)":"샘플링 방법을 Euler로 적용할까요?(이 기능은 해당 샘플러를 위해 만들어져 있습니다)",
"Override `Sampling Steps` to the same value as `Decode steps`?":"샘플링 스텝 수를 디코딩 스텝 수와 동일하게 적용할까요?",
"Overwrite Old Embedding":"기존 임베딩 덮어쓰기",
"Overwrite Old Hypernetwork":"기존 하이퍼네트워크 덮어쓰기",
"Page Index":"페이지 인덱스",
"parameters":"설정값",
"Path to directory where to write outputs":"Path to directory where to write outputs",
"Path to directory with input images":"Path to directory with input images",
"Path to directory with input images":"인풋 이미지가 있는 경로",
"Prevent empty spots in grid (when set to autodetect)":"Prevent empty spots in grid (when set to autodetect)",
"Primary model (A)":"Primary model (A)",
"Primary model (A)":"주 모델 (A)",
"Process an image, use it as an input, repeat.":"이미지를 생성하고, 생성한 이미지를 다시 원본으로 사용하는 과정을 반복합니다.",
"Process images in a directory on the same machine where the server is running.":"WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리의 이미지들을 처리합니다.",
"Produce an image that can be tiled.":"타일링 가능한 이미지를 생성합니다.",
"Prompt":"프롬프트",
"Prompt (press Ctrl+Enter or Alt+Enter to generate)":"프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
"Prompt S/R":"프롬프트 스타일 변경",
"Prompt matrix":"프롬프트 매트릭스",
"Prompt order":"프롬프트 순서",
"Prompt template file":"Prompt template file",
"Prompt":"프롬프트",
"Prompts from file or textbox":"파일이나 텍스트박스로부터 프롬프트 불러오기",
"Prompt S/R":"프롬프트 스타일 변경",
"Prompt template file":"프롬프트 템플릿 파일 경로",
"Prompts":"프롬프트",
"Prompts from file or textbox":"파일이나 텍스트박스로부터 프롬프트 불러오기",
"Put variable parts at start of prompt":"변경되는 프롬프트를 앞에 위치시키기",
"quad":"quad",
"Quality for saved jpeg images":"Quality for saved jpeg images",
"Quicksettings list":"Quicksettings list",
"R-ESRGAN 4x+ Anime6B":"R-ESRGAN 4x+ Anime6B",
"Randomness":"랜덤성",
"Read generation parameters from prompt or last generation if prompt is empty into user interface.":"클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
"Read parameters (prompt, etc...) from txt2img tab when making previews":"Read parameters (prompt, etc...) from txt2img tab when making previews",
"Read parameters (prompt, etc...) from txt2img tab when making previews":"프리뷰 이미지 생성 시 텍스트→이미지 탭에서 설정값(프롬프트 등) 읽어오기",
"Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8":"추천 설정값 - 샘플링 스텝 수 : 80-100 , 샘플러 : Euler a, 디노이즈 강도 : 0.8",
"Reload custom script bodies (No ui updates, No restart)":"Reload custom script bodies (No ui updates, No restart)",
"Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.":"설정된 해상도로 이미지 리사이징을 진행합니다. 원본과 가로/세로 길이가 일치하지 않을 경우, 부정확한 화면비의 이미지를 얻게 됩니다.",
"Resize mode":"Resize mode",
...
...
@@ -253,42 +326,43 @@
"Resize seed from width":"시드 리사이징 세로길이",
"Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.":"이미지 전체가 설정된 해상도 내부에 들어가게 리사이징을 진행합니다. 빈 공간은 이미지의 색상으로 채웁니다.",
"Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.":"설정된 해상도 전체가 이미지로 가득차게 리사이징을 진행합니다. 튀어나오는 부분은 잘라냅니다.",
"Resize":"Resize",
"Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)":"Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)",
"Restore faces":"얼굴 보정",
"Restore low quality faces using GFPGAN neural network":"GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
"Result = A * (1 - M) + B * M":"Result = A * (1 - M) + B * M",
"Result = A + (B - C) * M":"Result = A + (B - C) * M",
"Result = A * (1 - M) + B * M":"결과물 = A * (1 - M) + B * M",
"Result = A + (B - C) * M":"결과물 = A + (B - C) * M",
"Reuse seed from last generation, mostly useful if it was randomed":"이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
"Run":"Run",
"SD upscale":"SD 업스케일링",
"Sampler parameters":"Sampler parameters",
"right":"오른쪽",
"Run":"가동",
"Sampler":"샘플러",
"Sampling Steps":"샘플링 스텝 수",
"Sampler parameters":"Sampler parameters",
"Sampling method":"샘플링 방법",
"Save a copy of embedding to log directory every N steps, 0 to disable":"Save a copy of embedding to log directory every N steps, 0 to disable",
"Sampling Steps":"샘플링 스텝 수",
"Save":"저장",
"Save a copy of embedding to log directory every N steps, 0 to disable":"N스텝마다 로그 경로에 임베딩을 저장합니다, 비활성화하려면 0으로 설정하십시오.",
"Save a copy of image before applying color correction to img2img results":"Save a copy of image before applying color correction to img2img results",
"Save a copy of image before doing face restoration.":"Save a copy of image before doing face restoration.",
"Save an csv containing the loss to log directory every N steps, 0 to disable":"Save an csv containing the loss to log directory every N steps, 0 to disable",
"Save an image to log directory every N steps, 0 to disable":"Save an image to log directory every N steps, 0 to disable",
"Save as float16":"Save as float16",
"Save an image to log directory every N steps, 0 to disable":"N스텝마다 로그 경로에 이미지를 저장합니다, 비활성화하려면 0으로 설정하십시오.",
"Save as float16":"float16으로 저장",
"Save grids to a subdirectory":"Save grids to a subdirectory",
"Save images to a subdirectory":"Save images to a subdirectory",
"Save images with embedding in PNG chunks":"Save images with embedding in PNG chunks",
"Save images with embedding in PNG chunks":"PNG 청크로 이미지에 임베딩을 포함시켜 저장",
"Save style":"스타일 저장",
"Save text information about generation parameters as chunks to png files":"Save text information about generation parameters as chunks to png files",
"Save":"저장",
"Saving images/grids":"Saving images/grids",
"Saving to a directory":"Saving to a directory",
"Scale by":"Scale by",
"Scale to":"Scale to",
"Scale by":"스케일링 배수 지정",
"Scale to":"스케일링 사이즈 지정",
"Script":"스크립트",
"ScuNET GAN":"ScuNET GAN",
"ScuNET PSNR":"ScuNET PSNR",
"Secondary model (B)":"Secondary model (B)",
"See":"See",
"Seed of a different picture to be mixed into the generation.":"결과물에 섞일 다른 그림의 시드",
"SD upscale":"SD 업스케일링",
"Secondary model (B)":"2차 모델 (B)",
"See":"자세한 설명은",
"Seed":"시드",
"Seed of a different picture to be mixed into the generation.":"결과물에 섞일 다른 그림의 시드",
"Select activation function of hypernetwork":"하이퍼네트워크 활성화 함수 선택",
"Send to extras":"부가기능으로 전송",
"Send to img2img":"이미지→이미지로 전송",
"Send to inpaint":"인페인트로 전송",
...
...
@@ -297,26 +371,36 @@
"Separate values for X axis using commas.":"쉼표로 X축에 적용할 값 분리",
"Separate values for Y axis using commas.":"쉼표로 Y축에 적용할 값 분리",
"Set seed to -1, which will cause a new random number to be used every time":"시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
"set_index":"set_index",
"Settings":"설정",
"Show Textbox":"텍스트박스 보이기",
"should be 2 or lower.":"이 2 이하여야 합니다.",
"Show generation progress in window title.":"Show generation progress in window title.",
"Show grid in results for web":"Show grid in results for web",
"Show image creation progress every N sampling steps. Set 0 to disable.":"Show image creation progress every N sampling steps. Set 0 to disable.",
"Show images zoomed in by default in full page image viewer":"Show images zoomed in by default in full page image viewer",
"Show progressbar":"Show progressbar",
"Show result images":"Show result images",
"Sigma Churn":"시그마 섞기",
"Show result images":"이미지 결과 보이기",
"Show Textbox":"텍스트박스 보이기",
"Sigma adjustment for finding noise for image":"이미지 노이즈를 찾기 위해 시그마 조정",
"Sigma Churn":"시그마 섞기",
"sigma churn":"sigma churn",
"Sigma max":"시그마 최댓값",
"Sigma min":"시그마 최솟값",
"Sigma noise":"시그마 노이즈",
"Single Image":"Single Image",
"sigma noise":"sigma noise",
"sigma tmin":"sigma tmin",
"Single Image":"단일 이미지",
"Skip":"건너뛰기",
"Source directory":"Source directory",
"Source":"Source",
"Split oversized images into two":"Split oversized images into two",
"Stop At last layers of CLIP model":"CLIP 모델의 n번째 레이어에서 멈추기",
"Stop processing current image and continue processing.":"현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
...
...
@@ -325,51 +409,65 @@
"Style 2":"스타일 2",
"Style to apply; styles have components for both positive and negative prompts and apply to both":"Style to apply; styles have components for both positive and negative prompts and apply to both",
"SwinIR 4x":"SwinIR 4x",
"Sys VRAM:":"시스템 VRAM : ",
"System":"System",
"Tertiary model (C)":"Tertiary model (C)",
"Tertiary model (C)":"3차 모델 (C)",
"Textbox":"Textbox",
"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.":"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.",
"This string will be used to join split words into a single line if the option above is enabled.":"This string will be used to join split words into a single line if the option above is enabled.",
"This text is used to rotate the feature space of the imgs embs":"이 텍스트는 이미지 임베딩의 특징 공간을 회전하는 데 사용됩니다.",
"Tile overlap":"타일 겹침",
"Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.":"Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.",
"Tile overlap, in pixels for SwinIR. Low values = visible seam.":"Tile overlap, in pixels for SwinIR. Low values = visible seam.",
"Tile overlap":"타일 겹침",
"Tile size for ESRGAN upscalers. 0 = no tiling.":"Tile size for ESRGAN upscalers. 0 = no tiling.",
"Tile size for all SwinIR.":"Tile size for all SwinIR.",
"Tile size for ESRGAN upscalers. 0 = no tiling.":"Tile size for ESRGAN upscalers. 0 = no tiling.",
"Tiling":"타일링",
"Train Embedding":"Train Embedding",
"Train Hypernetwork":"Train Hypernetwork",
"Train an embedding; must specify a directory with a set of 1:1 ratio images":"Train an embedding; must specify a directory with a set of 1:1 ratio images",
"Time taken:":"소요 시간 : ",
"Torch active/reserved:":"활성화/예약된 Torch 양 : ",
"Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).":"활성화된 Torch : 생성 도중 캐시된 데이터를 포함해 사용된 VRAM의 최대량\n예약된 Torch : 활성화되고 캐시된 모든 데이터를 포함해 Torch에게 할당된 VRAM의 최대량\n시스템 VRAM : 모든 어플리케이션에 할당된 VRAM 최대량 / 총 GPU VRAM (최고 이용도%)",
"Train":"훈련",
"Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images":"임베딩이나 하이퍼네트워크를 훈련시킵니다. 1:1 비율의 이미지가 있는 경로를 지정해야 합니다.",
"Train Embedding":"임베딩 훈련",
"Train Hypernetwork":"하이퍼네트워크 훈련",
"Training":"Training",
"Unload VAE and CLIP from VRAM when training":"Unload VAE and CLIP from VRAM when training",
"txt2img":"텍스트→이미지",
"txt2img history":"txt2img history",
"uniform":"uniform",
"up":"위쪽",
"Upload mask":"마스크 업로드하기",
"Upscale latent space image when doing hires. fix":"Upscale latent space image when doing hires. fix",
"Upscale masked region to target resolution, do inpainting, downscale back and paste into original image":"마스크된 부분을 설정된 해상도로 업스케일하고, 인페인팅을 진행한 뒤, 다시 다운스케일 후 원본 이미지에 붙여넣습니다.",
"Upscaler 2 visibility":"Upscaler 2 visibility",
"Upscaler for img2img":"Upscaler for img2img",
"Upscaler":"업스케일러",
"Upscaler 1":"업스케일러 1",
"Upscaler 2":"업스케일러 2",
"Upscaler 2 visibility":"업스케일러 2 가시성",
"Upscaler for img2img":"Upscaler for img2img",
"Upscaling":"Upscaling",
"Use BLIP for caption":"Use BLIP for caption",
"Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition":"저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 이미지의 전체적인 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
"Use an empty output directory to save pictures normally instead of writing to the output directory.":"저장 경로를 비워두면 기본 저장 폴더에 이미지들이 저장됩니다.",
"Use deepbooru for caption":"Use deepbooru for caption",
"Use BLIP for caption":"캡션에 BLIP 사용",
"Use deepbooru for caption":"캡션에 deepbooru 사용",
"Use dropout":"드롭아웃 사용",
"Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.":"Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
"Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.":"Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
"Use old emphasis implementation. Can be useful to reproduce old seeds.":"Use old emphasis implementation. Can be useful to reproduce old seeds.",
"Use original name for output filename during batch process in extras tab":"Use original name for output filename during batch process in extras tab",
"use spaces for tags in deepbooru":"use spaces for tags in deepbooru",
"User interface":"User interface",
"VRAM usage polls per second during generation. Set to 0 to disable.":"VRAM usage polls per second during generation. Set to 0 to disable.",
"Var. seed":"바리에이션 시드",
"Var. strength":"바리에이션 강도",
"Variation seed":"바리에이션 시드",
"Variation strength":"바리에이션 강도",
"Weighted sum":"Weighted sum",
"view":"api 보이기",
"VRAM usage polls per second during generation. Set to 0 to disable.":"VRAM usage polls per second during generation. Set to 0 to disable.",
"Weighted sum":"가중 합",
"What to put inside the masked area before processing it with Stable Diffusion.":"Stable Diffusion으로 이미지를 생성하기 전 마스크된 부분에 무엇을 채울지 결정하는 설정값",
"When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.":"When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.",
"When using \"Save\" button, save images to a subdirectory":"When using \"Save\" button, save images to a subdirectory",
"When using 'Save' button, only save a single selected image":"When using 'Save' button, only save a single selected image",
"Which algorithm to use to produce the image":"이미지를 생성할 때 사용할 알고리즘",
"Width":"가로",
"wiki":" 위키",
"Will upscale the image to twice the dimensions; use width and height sliders to set tile size":"이미지를 설정된 사이즈의 2배로 업스케일합니다. 상단의 가로와 세로 슬라이더를 이용해 타일 사이즈를 지정하세요.",
"With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).":"With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
"Write image to a directory (default - log/images) and generation parameters into csv file.":"이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
...
...
@@ -377,46 +475,5 @@
"X values":"X 설정값",
"X/Y plot":"X/Y 플롯",
"Y type":"Y축",
"Y values":"Y 설정값",
"api":"",
"built with gradio":"gradio로 제작되었습니다",
"checkpoint":"checkpoint",
"directory.":"directory.",
"down":"아래쪽",
"escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)":"escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
"eta (noise multiplier) for DDIM":"eta (noise multiplier) for DDIM",
"eta (noise multiplier) for ancestral samplers":"eta (noise multiplier) for ancestral samplers",
"extras history":"extras history",
"fill it with colors of the image":"이미지의 색상으로 채우기",
"fill it with latent space noise":"잠재 공간 노이즈로 채우기",
"fill it with latent space zeroes":"잠재 공간의 0값으로 채우기",
"how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG: 0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.":"how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG: 0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
"img2img DDIM discretize":"img2img DDIM discretize",
"img2img alternative test":"이미지→이미지 대체버전 테스트",
"img2img history":"img2img history",
"img2img":"이미지→이미지",
"keep whatever was there originally":"이미지 원본 유지",
"latent noise":"잠재 노이즈",
"latent nothing":"잠재 공백",
"left":"왼쪽",
"number of images to delete consecutively next":"number of images to delete consecutively next",
"or":"or",
"original":"원본 유지",
"quad":"quad",
"right":"오른쪽",
"set_index":"set_index",
"should be 2 or lower.":"이 2 이하여야 합니다.",
"sigma churn":"sigma churn",
"sigma noise":"sigma noise",
"sigma tmin":"sigma tmin",
"txt2img history":"txt2img history",
"txt2img":"텍스트→이미지",
"uniform":"uniform",
"up":"위쪽",
"use spaces for tags in deepbooru":"use spaces for tags in deepbooru",
