auto_sd_docker/localizations/ko_KR.json

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{
"×": "×",
"•": "•",
"⊞": "⊞",
"": "",
"": "",
"⤡": "⤡",
" images during ": "개의 이미지를 불러왔고, 생성 기간은 ",
" images in this directory. Loaded ": "개의 이미지가 이 경로에 존재합니다. ",
" pages": "페이지로 나뉘어 표시합니다.",
", divided into ": "입니다. ",
"1st and last digit must be 1. ex:'1, 2, 1'": "1st and last digit must be 1. ex:'1, 2, 1'",
"[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.": "콘솔에 전체 작업의 진행도를 보여주는 2번째 프로그레스 바 추가하기",
"Add difference": "차이점 추가",
"Add extended info (seed, prompt) to filename when saving grid": "그리드 저장 시 파일명에 추가 정보(시드, 프롬프트) 기입",
"Add layer normalization": "레이어 정규화(normalization) 추가",
"Add model hash to generation information": "생성 정보에 모델 해시 추가",
"Add model name to generation information": "생성 정보에 모델 이름 추가",
"Aesthetic imgs embedding": "스타일 이미지 임베딩",
"Aesthetic learning rate": "스타일 학습 수",
"Aesthetic steps": "스타일 스텝 수",
"Aesthetic text for imgs": "스타일 텍스트",
"Aesthetic weight": "스타일 가중치",
"Allowed categories for random artists selection when using the Roll button": "랜덤 버튼을 눌러 무작위 작가를 선택할 때 허용된 카테고리",
"Always print all generation info to standard output": "기본 아웃풋에 모든 생성 정보 항상 출력하기",
"Always save all generated image grids": "생성된 이미지 그리드 항상 저장하기",
"Always save all generated images": "생성된 이미지 항상 저장하기",
"api": "",
"append": "뒤에 삽입",
"Apply color correction to img2img results to match original colors.": "이미지→이미지 결과물이 기존 색상과 일치하도록 색상 보정 적용하기",
"Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
"Apply settings": "설정 적용하기",
"Batch count": "배치 수",
"Batch from Directory": "저장 경로로부터 여러장 처리",
"Batch img2img": "이미지→이미지 배치",
"Batch Process": "이미지 여러장 처리",
"Batch size": "배치 크기",
"BSRGAN 4x": "BSRGAN 4x",
"built with gradio": "gradio로 제작되었습니다",
"Cancel generate forever": "반복 생성 취소",
"cfg count": "CFG 변화 횟수",
"CFG Scale": "CFG 스케일",
"cfg1 min/max": "CFG1 최소/최대",
"cfg2 min/max": "CFG2 최소/최대",
"Check progress": "진행도 체크",
"Check progress (first)": "진행도 체크 (처음)",
"checkpoint": " 체크포인트 ",
"Checkpoint Merger": "체크포인트 병합",
"Checkpoint name": "체크포인트 이름",
"Checkpoints to cache in RAM": "RAM에 캐싱할 체크포인트 수",
"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": "클릭해서 업로드하기",
"Clip skip": "클립 건너뛰기",
"CLIP: maximum number of lines in text file (0 = No limit)": "CLIP : 텍스트 파일 최대 라인 수 (0 = 제한 없음)",
"CodeFormer visibility": "CodeFormer 가시성",
"CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 가중치 (0 = 최대 효과, 1 = 최소 효과)",
"CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 가중치 설정값 (0 = 최대 효과, 1 = 최소 효과)",
"Collect": "즐겨찾기",
"Color variation": "색깔 다양성",
"copy": "복사",
"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.": "생성된 이미지마다 생성 설정값을 담은 텍스트 파일 생성하기",
"Create aesthetic images embedding": "스타일 이미지 임베딩 생성하기",
"Create embedding": "임베딩 생성",
"Create flipped copies": "좌우로 뒤집은 복사본 생성",
"Create hypernetwork": "하이퍼네트워크 생성",
"Create images embedding": "이미지 임베딩 생성하기",
"Crop and resize": "잘라낸 후 리사이징",
"Crop to fit": "잘라내서 맞추기",
"Custom Name (Optional)": "병합 모델 이름 (선택사항)",
"Dataset directory": "데이터셋 경로",
"DDIM": "DDIM",
"Decode CFG scale": "디코딩 CFG 스케일",
"Decode steps": "디코딩 스텝 수",
"Delete": "삭제",
"Denoising": "디노이징",
"Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
"Denoising strength": "디노이즈 강도",
"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": "저장 버튼을 이용해 저장하는 이미지들의 저장 경로",
"Directory name pattern": "디렉토리명 패턴",
"directory.": "저장 경로에 저장됩니다.",
"Do not add watermark to images": "이미지에 워터마크 추가하지 않기",
"Do not do anything special": "아무것도 하지 않기",
"Do not save grids consisting of one picture": "이미지가 1개뿐인 그리드는 저장하지 않기",
"Do not show any images in results for web": "웹에서 결과창에 아무 이미지도 보여주지 않기",
"down": "아래쪽",
"Download": "다운로드",
"Download localization template": "현지화 템플릿 다운로드",
"DPM adaptive": "DPM adaptive",
"DPM fast": "DPM fast",
"DPM2": "DPM2",
"DPM2 a": "DPM2 a",
"DPM2 a Karras": "DPM2 a Karras",
"DPM2 Karras": "DPM2 Karras",
"Draw legend": "범례 그리기",
"Draw mask": "마스크 직접 그리기",
"Drop File Here": "파일을 끌어 놓으세요",
"Drop Image Here": "이미지를 끌어 놓으세요",
"Embedding": "임베딩",
"Embedding Learning rate": "임베딩 학습률",
"Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "강조 : (텍스트)를 이용해 모델의 텍스트에 대한 가중치를 더 강하게 주고 [텍스트]를 이용해 더 약하게 줍니다.",
"Enable full page image viewer": "전체 페이지 이미지 뷰어 활성화",
"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": " K . . .",
"End Page": " ",
"Enter hypernetwork layer structure": " ",
"Error": "",
"escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "deepbooru (\\) ( )",
"ESRGAN_4x": "ESRGAN_4x",
"Eta": "Eta",
"eta (noise multiplier) for ancestral samplers": "ancestral eta( )",
"eta (noise multiplier) for DDIM": "DDIM eta( )",
"Eta noise seed delta": "Eta ",
"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 - , . 30~40 ",
"Existing Caption txt Action": " ",
"Extra": "",
"Extras": "",
"extras": "",
"extras history": " ",
"Face restoration": " ",
"Face restoration model": " ",
"Fall-off exponent (lower=higher detail)": " ( )",
"favorites": "",
"File": "",
"File format for grids": " ",
"File format for images": " ",
"File Name": " ",
"File with inputs": " ",
"Filename join string": " ",
"Filename word regex": " ",
"fill": "",
"fill it with colors of the image": " ",
"fill it with latent space noise": " ",
"fill it with latent space zeroes": " 0 ",
"Filter NSFW content": " ",
"First Page": " ",
"Firstpass height": " ",
"Firstpass width": " ",
"Font for image grids that have text": " ",
"for detailed explanation.": " .",
"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 . , .",
"Generate": "",
"Generate forever": " ",
"Generate Info": " ",
"GFPGAN visibility": "GFPGAN ",
"Grid row count; use -1 for autodetect and 0 for it to be same as batch size": " : -1 /0 ",
"Height": "",
"Heun": "Heun",
"hide": "api ",
"Hide samplers in user interface (requires restart)": " ( )",
"Highres. fix": " ",
"History": "",
"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.": " . , ( (Loss) : nan . ).\n\n , :\n\n_1: _1, _2: _2, ...\n\n : 0.005:100, 1e-3:1000, 1e-5\n\n 100 0.005 , 1000 1e-3, 1e-5 .",
"How many batches of images to create": " ",
"How many image to create in a single batch": " ",
"How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": " ; ",
"How many times to repeat processing an image and using it as input for the next iteration": " ",
"How much to blur the mask before processing, in pixels.": " . ",
"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).": " - 0 , 1 . (Ancestral - )",
"Hypernet str.": " ",
"Hypernetwork": "",
"Hypernetwork Learning rate": " ",
"Hypernetwork strength": " ",
"If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "PNG 4MB 4000 , 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 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.": " 0 , , Eta RNG . , .",
"ignore": "",
"Image": "",
"Image Browser": " ",
"Image for img2img": "Image for img2img",
"Image for inpainting with mask": " ",
"Images Browser": " ",
"Images directory": " ",
"Images filename pattern": " ",
"img2img": "",
"img2img alternative test": " ",
"img2img DDIM discretize": " DDIM ",
"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.": " . 1 . 1 .",
"Include Separate Images": " ",
"Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "75 N ",
"Initialization text": " ",
"Inpaint": "",
"Inpaint at full resolution": " ",
"Inpaint at full resolution padding, pixels": " ( )",
"Inpaint masked": " ",
"Inpaint not masked": " ",
"Input directory": " ",
"Interpolation Method": " ",
"Interrogate\nCLIP": "CLIP\n",
"Interrogate\nDeepBooru": "DeepBooru\n",
"Interrogate Options": " ",
"Interrogate: deepbooru score threshold": " : deepbooru ",
"Interrogate: deepbooru sort alphabetically": " : deepbooru ",
"Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": " : ( )",
"Interrogate: keep models in VRAM": " : VRAM ",
"Interrogate: maximum description length": " : ",
"Interrogate: minimum description length (excluding artists, etc..)": " : ( ..)",
"Interrogate: num_beams for BLIP": " : BLIP num_beams",
"Interrogate: use artists from artists.csv": " : artists.csv ",
"Interrupt": "",
"Is negative text": " ",
"Just resize": "",
"Keep -1 for seeds": " -1 ",
"keep whatever was there originally": " ",
"Label": "",
"Lanczos": "Lanczos",
"Last prompt:": " : ",
"Last saved hypernetwork:": " : ",
"Last saved image:": " : ",
"latent noise": " ",
"latent nothing": " ",
"LDSR": "LDSR",
"LDSR processing steps. Lower = faster": "LDSR . = ",
"leakyrelu": "leakyrelu",
"Leave blank to save images to the default path.": " .",
"left": "",
"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.": " . modules/shared.py . .",
"LMS": "LMS",
"LMS Karras": "LMS Karras",
"Load": "",
"Loading...": " ...",
"Localization (requires restart)": " ( )",
"Log directory": " ",
"Loopback": "",
"Loops": " ",
"Loss:": "(Loss) : ",
"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": " .",
"Make K-diffusion samplers produce same images in a batch as when making a single image": "K-diffusion ",
"Make Zip when Save?": " Zip ",
"Mask": "",
"Mask blur": " ",
"Mask mode": " ",
"Masked content": " ",
"Masking mode": " ",
"Max prompt words for [prompt_words] pattern": "[prompt_words] ",
"Max steps": " ",
"Minimum number of pages per load": " ",
"Modules": "",
"Move face restoration model from VRAM into RAM after processing": " VRAM RAM ",
"Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": " VAE CLIP RAM . VRAM .",
"Multiplier (M) - set to 0 to get model A": " (M) - 0 A ",
"Name": "",
"Negative prompt": " ",
"Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": " (Ctrl+Enter Alt+Enter )",
"Next batch": " ",
"Next Page": " ",
"None": "",
"Nothing": "",
"Nothing found in the image.": "Nothing found in the image.",
"Number of grids in each row": " ",
"number of images to delete consecutively next": " ",
"Number of pictures displayed on each page": " ",
"Number of repeats for a single input image per epoch; used only for displaying epoch number": "(Epoch) - (Epoch) . ",
"Number of vectors per token": " ",
"Open for Clip Aesthetic!": " !",
"Open images output directory": " ",
"Open output directory": " ",
"or": "",
"original": " ",
"Original negative prompt": " ",
"Original prompt": " ",
"Outpainting direction": " ",
"Outpainting mk2": " 2",
"Output directory": " ",
"Output directory for grids; if empty, defaults to two directories below": " - 2 ",
"Output directory for images from extras tab": " ",
"Output directory for images; if empty, defaults to three directories below": " - 3 ",
"Output directory for img2img grids": " ",
"Output directory for img2img images": " ",
"Output directory for txt2img grids": " ",
"Output directory for txt2img images": " ",
"Override `Denoising strength` to 1?": " 1 ?",
"Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": " ?( )",
"Override `Sampling method` to Euler?(this method is built for it)": " Euler ?( )",
"Override `Sampling Steps` to the same value as `Decode steps`?": " ?",
"Overwrite Old Embedding": " ",
"Overwrite Old Hypernetwork": " ",
"Page Index": " ",
"parameters": "",
"Path to directory where to write outputs": " ",
"Path to directory with input images": " ",
"Paths for saving": " ",
"Pixels to expand": " ",
"PLMS": "PLMS",
"PNG Info": "PNG ",
"Poor man's outpainting": " ",
"Preload images at startup": "WebUI ",
"Preparing dataset from": " : ",
"prepend": " ",
"Preprocess": "",
"Preprocess images": " ",
"Prev batch": " ",
"Prev Page": " ",
"Prevent empty spots in grid (when set to autodetect)": "( ) ",
"Primary model (A)": " (A)",
"Process an image, use it as an input, repeat.": " , .",
"Process images in a directory on the same machine where the server is running.": "WebUI .",
"Produce an image that can be tiled.": " .",
"Prompt": "",
"Prompt (press Ctrl+Enter or Alt+Enter to generate)": " (Ctrl+Enter Alt+Enter )",
"Prompt matrix": " ",
"Prompt order": " ",
"Prompt S/R": " ",
"Prompt template file": " 릿 ",
"Prompts": "",
"Prompts from file or textbox": " ",
"Put variable parts at start of prompt": " ",
"quad": "quad",
"Quality for saved jpeg images": " jpeg ",
"Quicksettings list": " ",
"R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
"Random": "",
"Random grid": " ",
"Randomness": "",
"Read generation parameters from prompt or last generation if prompt is empty into user interface.": " / ",
"Read parameters (prompt, etc...) from txt2img tab when making previews": " ( ) ",
"Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": " - : 80-100 , : Euler a, : 0.8",
"Reload custom script bodies (No ui updates, No restart)": " (UI , )",
"relu": "relu",
"Renew Page": "Renew Page",
"Request browser notifications": " ",
"Resize": " ",
"Resize and fill": " ",
"Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": " . / , .",
"Resize mode": " ",
"Resize seed from height": " ",
"Resize seed from width": " ",
"Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": " . .",
"Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": " . .",
"Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Gradio ( , ui.py, js, css )",
"Restore faces": " ",
"Restore low quality faces using GFPGAN neural network": "GFPGAN .",
"Result = A * (1 - M) + B * M": " = A * (1 - M) + B * M",
"Result = A + (B - C) * M": " = A + (B - C) * M",
"Reuse seed from last generation, mostly useful if it was randomed": " . ",
"right": "",
"Run": "",
"Sampler": "",
"Sampler parameters": " ",
"Sampling method": " ",
"Sampling Steps": " ",
"Save": "",
"Save a copy of embedding to log directory every N steps, 0 to disable": "N , 0 .",
"Save a copy of image before applying color correction to img2img results": " ",
"Save a copy of image before doing face restoration.": " ",
"Save an csv containing the loss to log directory every N steps, 0 to disable": "N (Loss) csv , 0 .",
"Save an image to log directory every N steps, 0 to disable": "N , 0 .",
"Save as float16": "float16 ",
"Save grids to a subdirectory": " ",
"Save images to a subdirectory": " ",
"Save images with embedding in PNG chunks": "PNG ",
"Save style": " ",
"Save text information about generation parameters as chunks to png files": " PNG ",
"Saving images/grids": "/ ",
"Saving to a directory": " ",
"Scale by": " ",
"Scale to": " ",
"Script": "",
"ScuNET GAN": "ScuNET GAN",
"ScuNET PSNR": "ScuNET PSNR",
"SD upscale": "SD ",
"Secondary model (B)": "2 (B)",
"See": " ",
"Seed": "",
"Seed of a different picture to be mixed into the generation.": " ",
"Select activation function of hypernetwork": " ",
"Select which Real-ESRGAN models to show in the web UI. (Requires restart)": "WebUI Real-ESRGAN . ( )",
"Send to extras": " ",
"Send to img2img": " ",
"Send to inpaint": " ",
"Send to txt2img": " ",
"Separate prompts into parts using vertical pipe character (|) and the script will create a picture for every combination of them (except for the first part, which will be present in all combinations)": "(|) . .",
"Separate values for X axis using commas.": " X ",
"Separate values for Y axis using commas.": " Y ",
"Set seed to -1, which will cause a new random number to be used every time": " -1 - .",
"set_index": "set_index",
"Settings": "",
"should be 2 or lower.": " 2 .",
"Show generation progress in window title.": " ",
"Show grid in results for web": " ",
"Show image creation progress every N sampling steps. Set 0 to disable.": "N - 0 ",
"Show images zoomed in by default in full page image viewer": " ",
"Show previews of all images generated in a batch as a grid": " ",
"Show progressbar": " ",
"Show result images": " ",
"Show Textbox": " ",
"Sigma adjustment for finding noise for image": " ",
"Sigma Churn": " ",
"sigma churn": " ",
"Sigma max": " ",
"Sigma min": " ",
"Sigma noise": " ",
"sigma noise": " ",
"sigma tmin": " tmin",
"Single Image": " ",
"Skip": "",
"Slerp angle": " ",
"Slerp interpolation": " ",
"Source": "",
"Source directory": " ",
"Split image overlap ratio": " ",
"Split image threshold": " ",
"Split oversized images": " ",
"Stable Diffusion": "Stable Diffusion",
"Stable Diffusion checkpoint": "Stable Diffusion ",
"step count": " ",
"step1 min/max": "1 /",
"step2 min/max": "2 /",
"Step:": "Step:",
"Steps": " ",
"Stop At last layers of CLIP model": "CLIP n ",
"Stop processing current image and continue processing.": " ",
"Stop processing images and return any results accumulated so far.": " ",
"Style 1": " 1",
"Style 2": " 2",
"Style to apply; styles have components for both positive and negative prompts and apply to both": " - / .",
"SwinIR 4x": "SwinIR 4x",
"Sys VRAM:": " VRAM : ",
"System": "",
"Tertiary model (C)": "3 (C)",
"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 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": " .",
"Tile overlap": " ",
"Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGAN , . = .",
"Tile overlap, in pixels for SwinIR. Low values = visible seam.": "SwinIR , . = .",
"Tile size for all SwinIR.": "SwinIR .",
"Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN . 0 = .",
"Tiling": "",
"Time taken:": " : ",
"Torch active/reserved:": "/ Torch : ",
"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%).": " Torch : VRAM \n Torch : Torch VRAM \n VRAM : VRAM / GPU VRAM ( %)",
"Train": "",
"Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": " . 1:1 .",
"Train Embedding": " ",
"Train Hypernetwork": " ",
"Training": "",
"txt2img": "",
"txt2img history": " ",
"uniform": "uniform",
"up": "",
"Upload mask": " ",
"Upscale latent space image when doing hires. fix": " ",
"Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": " , , .",
"Upscaler": "",
"Upscaler 1": " 1",
"Upscaler 2": " 2",
"Upscaler 2 visibility": " 2 ",
"Upscaler for img2img": " ",
"Upscaling": "",
"Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": " 1 , .",
"Use an empty output directory to save pictures normally instead of writing to the output directory.": " .",
"Use BLIP for caption": " BLIP ",
"Use deepbooru for caption": " deepbooru ",
"Use dropout": " ",
"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.": " : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]. .",
"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.": " : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]. .",
"Use old emphasis implementation. Can be useful to reproduce old seeds.": " . .",
"Use original name for output filename during batch process in extras tab": " ",
"use spaces for tags in deepbooru": "deepbooru ",
"User interface": " ",
"Var. seed": " ",
"Var. strength": " ",
"Variation seed": " ",
"Variation strength": " ",
"view": "api ",
"VRAM usage polls per second during generation. Set to 0 to disable.": " VRAM . 0 .",
"Weighted sum": " ",
"What to put inside the masked area before processing it with Stable Diffusion.": "Stable Diffusion ",
"When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "PNG , / .",
"When using \"Save\" button, save images to a subdirectory": "저장 버튼 사용시, 이미지를 하위 디렉토리에 저장하기",
"When using 'Save' button, only save a single selected image": "저장 버튼 사용시, 선택된 이미지 1개만 저장하기",
"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).": "이미지→이미지 진행 시, 슬라이더로 설정한 스텝 수를 정확히 실행하기 (일반적으로 디노이즈 강도가 낮을수록 실제 설정된 스텝 수보다 적게 진행됨)",
"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)",
"X type": "X축",
"X values": "X 설정값",
"x/y change": "X/Y축 변경",
"X/Y plot": "X/Y 플롯",
"Y type": "Y축",
"Y values": "Y 설정값"
}