"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 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.",
"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",
"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.",
"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.",
"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)",
"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",
"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.",
"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",
"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 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",
"How many times to repeat processing an image and using it as input for the next iteration":"이미지를 생성 후 원본으로 몇 번 반복해서 사용할지 결정하는 값",
"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)",
"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.",
"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",
"Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).":"Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).",
"Interrogate: keep models in VRAM":"Interrogate: keep models in VRAM",
"Interrogate: maximum description length":"Interrogate: maximum description length",
"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",
"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",
"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",
"Output directory for img2img grids":"Output directory for img2img grids",
"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",
"Override `Denoising strength` to 1?":"디노이즈 강도를 1로 적용할까요?",
"Override `prompt` to the same value as `original prompt`?(and `negative prompt`)":"프롬프트 값을 기존 프롬프트와 동일하게 적용할까요?(네거티브 프롬프트 포함)",
"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",
"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 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.",
"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.",
"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",
"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)":"(|)를 이용해 프롬프트를 분리할 시 첫 프롬프트를 제외하고 모든 프롬프트의 조합마다 이미지를 생성합니다. 첫 프롬프트는 모든 조합에 포함되게 됩니다.",
"Separate values for X axis using commas.":"쉼표로 X축에 적용할 값 분리",
"Separate values for Y axis using commas.":"쉼표로 Y축에 적용할 값 분리",
"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",
"Stop processing images and return any results accumulated so far.":"이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
"Style 1":"스타일 1",
"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",
"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.",
"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 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.",
"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.",
"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 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",
"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",
"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)",
