Chinese-All.json

{
    "⤡": "⤡",
    "⊞": "⊞",
    "×": "×",
    "❮": "❮",
    "❯": "❯",
    "Loading...": "加载中...",
    "view": "view",
    "api": "api",
    "•": "•",
    "built with gradio": "built with gradio",
    "Stable Diffusion checkpoint": "SD模型",
    "txt2img": " 文本转图像",
    "img2img": "图像转图像",
    "Extras": "高清化",
    "PNG Info": "PNG信息",
    "History": "历史",
    "Checkpoint Merger": "模型合并",
    "Train": "训练",
    "Settings": "设置",
    "Prompt": "描述词",
    "Negative prompt": "否定描述词",
    "Run": "运行",
    "Skip": "跳过",
    "Interrupt": "终止",
    "Generate": "生成",
    "Style 1": "预设1",
    "Style 2": "预设2",
    "Label": "标签",
    "File": "文件",
    "Drop File Here": "拖拽文件至此",
    "-": "-",
    "or": "or",
    "Click to Upload": "点击上传",
    "Image": "图像",
    "Check progress": "检查进度",
    "Check progress (first)": "检查进度(首次)",
    "Sampling Steps": "采样步数",
    "Sampling method": "采样方法",
    "Euler a": "Euler a",
    "Euler": "Euler",
    "LMS": "LMS",
    "Heun": "Heun",
    "DPM2": "DPM2",
    "DPM2 a": "DPM2 a",
    "DPM fast": "DPM fast",
    "DPM adaptive": "DPM adaptive",
    "LMS Karras": "LMS Karras",
    "DPM2 Karras": "DPM2 Karras",
    "DPM2 a Karras": "DPM2 a Karras",
    "DDIM": "DDIM",
    "PLMS": "PLMS",
    "Width": "宽",
    "Height": "高",
    "Restore faces": "面部修复",
    "Tiling": "生成无缝贴图",
    "Highres. fix": "高分辨率图像修复",
    "Firstpass width": "首次宽度",
    "Firstpass height": "首次高度",
    "Denoising strength": "去噪强度",
    "Batch count": "生成次数",
    "Batch size": "每次数量",
    "CFG Scale": "CFG指数",
    "Seed": "图像生成种子",
    "Extra": "附加",
    "Variation seed": "种子变异",
    "Variation strength": "变异强度",
    "Resize seed from width": "从宽度上调整种子大小",
    "Resize seed from height": "从高度上调整种子大小",
    "Script": "脚本",
    "None": "无",
    "Prompt matrix": "描述词矩阵",
    "Prompts from file or textbox": "载入来自输入框或者文件的描述词语句",
    "X/Y plot": "X/Y图",
    "Put variable parts at start of prompt": "把变量部分放在描述词语句开头处",
    "Show Textbox": "显示文本框",
    "File with inputs": "导入文件",
    "Prompts": "描述词语句s",
    "X type": "X类型",
    "Nothing": "无",
    "Var. seed": "种子变量",
    "Var. strength": "强度变量",
    "Steps": "步数",
    "Prompt S": "描述词S S",
    "Prompt order": "描述词顺序 order",
    "Sampler": "采样工具",
    "Checkpoint name": "模型名称",
    "Hypernetwork": "超网络",
    "Hypernet str.": "超网字符串",
    "Sigma Churn": "Sigma混合",
    "Sigma min": "Sigma最小值",
    "Sigma max": "Sigma最大值",
    "Sigma noise": "Sigma噪声",
    "Eta": "Eta",
    "Clip skip": "Clip跳过",
    "Denoising": "去噪",
    "X values": "X值",
    "Y type": "Y类型",
    "Y values": "Y值",
    "Draw legend": "绘制网格",
    "Include Separate Images": "包括独立的图像",
    "Keep -1 for seeds": "保持图像生成种子值为-1",
    "Drop Image Here": "拖拽图像至此",
    "Save": "保存",
    "Send to img2img": "发送至图像转图像",
    "Send to inpaint": "发送至局部绘制",
    "Send to extras": "发送至高清化",
    "Make Zip when Save?": "以ZIP来保存?",
    "Textbox": "文本框",
    "Interrogate\nCLIP": "询问\nCLIP",
    "Inpaint": "局部绘制",
    "Batch img2img": "批量绘制全图",
    "Image for img2img": "图像转图像的图像",
    "Image for inpainting with mask": "用蒙版进行绘制的图像",
    "Mask": "蒙版",
    "Mask blur": "蒙版模糊程度",
    "Mask mode": "蒙版模式",
    "Draw mask": "绘制蒙版",
    "Upload mask": "上传蒙版",
    "Masking mode": "遮盖模式",
    "Inpaint masked": "绘制蒙版区域",
    "Inpaint not masked": "绘制非蒙版区域",
    "Masked content": "蒙版内容",
    "fill": "填充",
    "original": "原始图像",
    "latent noise": "潜在空间噪波",
    "latent nothing": "无潜在空间",
    "Inpaint at full resolution": "全分辨率修复",
    "Inpaint at full resolution padding, pixels": "全分辨率修复填充,像素",
    "Process images in a directory on the same machine where the server is running.": "在运行服务器的同一台机器上的目录中处理图像",
    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "使用空的输出目录来正常保存图片,而不是写入到输出目录",
    "Input directory": "输入目录",
    "Output directory": "输出目录",
    "Resize mode": "缩放模式",
    "Just resize": "仅缩放",
    "Crop and resize": "裁剪缩放",
    "Resize and fill": "缩放填充",
    "img2img alternative test": "改图测试",
    "Loopback": "图像迭代",
    "Outpainting mk2": "MK2模式补全画布",
    "Poor man's outpainting": "低质量补全画布",
    "SD upscale": "SD模式放大",
    "should be 2 or lower.": "应该为2或更少",
    "Override `Sampling method` to Euler?(this method is built for it)": "重写'采样方法'到Euler?(这个方法就是为此而构建的)",
    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "重写'描述词语句'到与'原始描述词语句'相同的值?(和负面的描述词语句)",
    "Original prompt": "原始描述词",
    "Original negative prompt": "原始否定描述词",
    "Override `Sampling Steps` to the same value as `Decode steps`?": "重写'采样步数'到相同的值'解码步骤'?",
    "Decode steps": "解码步数",
    "Override `Denoising strength` to 1?": "重写“去噪强度”为1?",
    "Decode CFG scale": "解码CFG指数",
    "Randomness": "随机性",
    "Sigma adjustment for finding noise for image": "Sigma调整图像噪点",
    "Loops": "图像迭代次数",
    "Denoising strength change factor": "去噪强度变化系数",
    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推荐设置:采样步数:80-100,采样器:Euler a,去噪强度:0.8",
    "Pixels to expand": "往外拓展的像素",
    "Outpainting direction": "补全画布的方向",
    "left": "左",
    "right": "右",
    "up": "上",
    "down": "下",
    "Fall-off exponent (lower=higher detail)": "衰减指数(数值低=更多细节)",
    "Color variation": "颜色变化值",
    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "将图像尺寸提升2倍;使用宽度和高度滑块设置图块大小",
    "Tile overlap": "贴图重叠范围",
    "Upscaler": "图像放大器",
    "Lanczos": "Lanczos",
    "LDSR": "LDSR",
    "BSRGAN": "BSRGAN",
    "ESRGAN_4x": "ESRGAN_4x",
    "ScuNET GAN": "ScuNET GAN",
    "ScuNET PSNR": "ScuNET PSNR",
    "SwinIR 4x": "SwinIR 4x",
    "Single Image": "单一图像",
    "Batch Process": "批量处理",
    "Batch from Directory": "批量处理目录下图像",
    "Source": "资源",
    "Show result images": "显示结果图像",
    "Scale by": "按比例缩放",
    "Scale to": "缩放到比例",
    "Resize": "缩放",
    "Crop to fit": "裁剪以适应宽高",
    "Upscaler 2 visibility": "图像放大器2可见度",
    "GFPGAN visibility": "GFPGAN修复程度",
    "CodeFormer visibility": "面部重建程度",
    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "面部重建权重(0=最大效果,1=最小效果)",
    "Open output directory": "打开输出目录",
    "Send to txt2img": "发送至 文本转图像",
    "txt2img history": " 文本转图像生成历史",
    "img2img history": "图像转图像生成历史",
    "extras history": "高清化生成历史",
    "Renew Page": "更新页面",
    "First Page": "首页",
    "Prev Page": "上一页",
    "Page Index": "页面索引",
    "Next Page": "下一页",
    "End Page": "尾页",
    "number of images to delete consecutively next": "接下来要连续删除的图像数量",
    "Delete": "删除",
    "Generate Info": "生成信息",
    "File Name": "文件名",
    "set_index": "设置索引",
    "A merger of the two checkpoints will be generated in your": "两个模型的合并将生成在你的",
    "checkpoint": "模型",
    "directory.": "目录",
    "Primary model (A)": "主要模型名称(A)",
    "Secondary model (B)": "次要模型名称(B)",
    "Tertiary model (C)": "第三个模型名称(C)",
    "Custom Name (Optional)": "自定义名称(可选)",
    "Multiplier (M) - set to 0 to get model A": "乘数(M)-设为0得到A模型",
    "Interpolation Method": "插值方法",
    "Weighted sum": "加权和",
    "Add difference": "添加不同",
    "Save as float16": "以float16精度保存",
    "See": "看",
    "wiki": "wiki",
    "for detailed explanation.": "详细的解释",
    "Create embedding": "创建emb嵌入模型",
    "Create hypernetwork": "创建超网络",
    "Preprocess images": "预处理图像",
    "Name": "名称",
    "Initialization text": "初始化文本",
    "Number of vectors per token": "每个token的向量数",
    "Modules": "模块",
    "Enter hypernetwork layer structure": "进入超网络层结构",
    "Add layer normalization": "添加正常化图层",
    "Source directory": "资源目录",
    "Destination directory": "目标目录",
    "Create flipped copies": "创建反转副本",
    "Split oversized images into two": "将超大图像一分为二",
    "Use BLIP for caption": "使用BLIP名称作为标题",
    "Use deepbooru for caption": "使用deepbooru名称作为标题",
    "Preprocess": "预处理图像",
    "Train an embedding; must specify a directory with a set of 1:1 ratio images": "训练一个emb嵌入模型;必须选择具有一组1:1比例图像的目录",
    "Embedding": "Emb嵌入模型",
    "Learning rate": "学习率",
    "Dataset directory": "数据集目录",
    "Log directory": "日志目录",
    "Prompt template file": "描述词语句模板文件",
    "Max steps": "最大步数",
    "Save an image to log directory every N steps, 0 to disable": "每N步保存一个图像到日志目录,0为禁用",
    "Save a copy of embedding to log directory every N steps, 0 to disable": "每N步保存一份emb嵌入模型到日志目录的副本,0表示禁用",
    "Save images with embedding in PNG chunks": "保存emb嵌入模型在图像PNG信息内",
    "Read parameters (prompt, etc...) from txt2img tab when making previews": "在进行预览时,从 文本转图像选项卡读取参数(描述词语句等)",
    "Train Hypernetwork": "训练超网络",
    "Train Embedding": "训练Emb嵌入模型",
    "Apply settings": "应用设置",
    "Saving images/grids": "保存图像/网格",
    "Always save all generated images": "始终保存所有生成的图像",
    "File format for images": "图像命名方式",
    "Images filename pattern": "图像命名模式",
    "Always save all generated image grids": "始终保存所有生成的图像网格",
    "File format for grids": "网格的文件格式",
    "Add extended info (seed, prompt) to filename when saving grid": "保存网格时将扩展信息（图像生成种子、描述词语句）添加到文件名",
    "Do not save grids consisting of one picture": "不保存由一张图像组成的网格",
    "Prevent empty spots in grid (when set to autodetect)": "防止网格中的空点(当设置为自动检测时)",
    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "网格行数:为-1时会进行自动检测,为0时会使其与批量大小相同",
    "Save text information about generation parameters as chunks to png files": "将关于生成参数的文本信息以块的形式保存到png文件中",
    "Create a text file next to every image with generation parameters.": "在每一个带有生成参数的图像旁,创建一个文本文件",
    "Save a copy of image before doing face restoration.": "在面部修复前保存一份图像的副本",
    "Quality for saved jpeg images": "保存jpeg图像的质量",
    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "如果PNG大于4MB或任何尺寸大于4000,缩小尺寸并保存为JPG",
    "Use original name for output filename during batch process in extras tab": "在额外标签的批处理过程中,为输出文件名使用原始名称",
    "When using 'Save' button, only save a single selected image": "使用“保存”按钮时,只保存一个选定的图像",
    "Do not add watermark to images": "不在图像中添加水印",
    "Paths for saving": "保存路径",
    "Output directory for images; if empty, defaults to three directories below": "图像的输出目录;如果为空,默认为下面的三个目录",
    "Output directory for txt2img images": " 文本转图像图像的输出目录",
    "Output directory for img2img images": "图像转图像图像的输出目录",
    "Output directory for images from extras tab": "高清化标签的输出目录",
    "Output directory for grids; if empty, defaults to two directories below": "网格的输出目录;如果为空,默认为下面的两个目录",
    "Output directory for txt2img grids": " 文本转图像网格的输出目录",
    "Output directory for img2img grids": "图像转图像网格的输出目录",
    "Directory for saving images using the Save button": "使用保存按钮保存图像的目录",
    "Saving to a directory": "保存到目录",
    "Save images to a subdirectory": "将图像保存到子目录",
    "Save grids to a subdirectory": "将网格保存到子目录",
    "When using \"Save\" button, save images to a subdirectory": "当使用\"保存\"按钮时,将图像保存到子目录",
    "Directory name pattern": "目录命名方式",
    "Max prompt words for [prompt_words] pattern": "最大提示词[prompt_words]模式",
    "Upscaling": "图像高清化选项",
    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN图像放大器的图块大小,0=不平铺",
    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "贴图重叠范围,以ESRGAN图像放大器的像素为单位,低值=可见接缝",
    "Tile size for all SwinIR.": "SwinIR模型的无缝拼接图像尺寸",
    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "贴图重叠范围,拼接像素来自SwinIR模型,低值=可见接缝",
    "LDSR processing steps. Lower = faster": "LDSR处理步数,低步数=高速度",
    "Upscaler for img2img": "图像转图像的图像放大器",
    "Upscale latent space image when doing hires. fix": "在使用高分辨率修复时放大潜在空间图像",
    "Face restoration": "面部修复",
    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "编码器权重:0=效果最大;1=效果最小",
    "Move face restoration model from VRAM into RAM after processing": "处理后将面部修复模型从显存移到内存中",
    "System": "系统",
    "VRAM usage polls per second during generation. Set to 0 to disable.": "显存在生成过程中每秒询问一次,设置为0表示禁用",
    "Always print all generation info to standard output": "总是打印出同一批次信息到标准输出",
    "Add a second progress bar to the console that shows progress for an entire job.": "向控制台添加第二个进度条,显示整个作业的进度",
    "Training": "训练",
    "Unload VAE and CLIP from VRAM when training": "训练时从显存中清除VAE和CLIP",
    "Filename word regex": "正则文件名",
    "Filename join string": "文件名连接符号",
    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "每一代训练的单个输入图像的重复次数;仅用于显示训练代数",
    "Save an csv containing the loss to log directory every N steps, 0 to disable": "每N步保存一个包含损失函数的csv文件到日志目录,0为禁用",
    "Stable Diffusion": "Stable Diffusion",
    "Checkpoints to cache in RAM": "存放模型缓存在内存",
    "Hypernetwork strength": "超网络强度",
    "Apply color correction to img2img results to match original colors.": "对图像转图像生成的结果应用颜色校正来与原始颜色相匹配",
    "Save a copy of image before applying color correction to img2img results": "在对图像转图像生成的结果应用颜色校正之前,保存图像的副本",
    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "使用图像转图像,完全执行滑块指定的步数(通常情况下,降噪越少,执行的步数就越少)",
    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在K-diffusion采样器中启动量化来获得更清晰简洁的结果,这可能会改变现有的图像生成种子,需要重新启动才能应用",
    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "强调:模型更加注重于(文本)内的文本,少量注重于[文本]内的文本",
    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调实现,可以用来繁殖老种子",
    "Make K-diffusion samplers produce same images in a batch as when making a single image": "使用K-diffusion采样器批量生成与生成单个图像时相同的图像",
    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "当使用超过75个token时,从n个token内的最后一个逗号开始填充,以提高一致性",
    "Filter NSFW content": "过滤NSFW(不适合在公共场合或者上班的时候浏览)内容",
    "Stop At last layers of CLIP model": "在CLIP模型的最后几层停止",
    "Interrogate Options": "询问设置",
    "Interrogate: keep models in VRAM": "询问:将模型保存在显存中",
    "Interrogate: use artists from artists.csv": "询问:使用artsts.csv中的艺术家",
    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "询问:在结果中包含模型标签匹配的排名(对基于标题的询问器没有影响)",
    "Interrogate: num_beams for BLIP": "询问:来自BLIP的集数数量",
    "Interrogate: minimum description length (excluding artists, etc..)": "询问:最小描述长度(不包括艺术家等)",
    "Interrogate: maximum description length": "询问:最大描述长度",
    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP:文本文件中的最大行数(0 =无限制)",
    "Interrogate: deepbooru score threshold": "询问:deepbooru置信度分数阈值",
    "Interrogate: deepbooru sort alphabetically": "询问:deepbooru分类整理",
    "use spaces for tags in deepbooru": "在deepbooru中为标签使用空格",
    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "deepbooru中的转义(\\)方括号(因此它们被用作文字方括号而不是用于强调)",
    "User interface": "用户界面",
    "Show progressbar": "显示进度条",
    "Show image creation progress every N sampling steps. Set 0 to disable.": "每N个采样步数显示图像的创建进度,设置0禁用",
    "Show grid in results for web": "在web中显示网格",
    "Do not show any images in results for web": "网页不显示任何生成图像的结果",
    "Add model hash to generation information": "在生成信息中添加模型哈希",
    "Add model name to generation information": "将模型名称添加到生成信息中",
    "Font for image grids that have text": "具有文本的图像网格的字体",
    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "从文本中读取图像生成参数到界面(从PNG信息或粘贴文本)时.不更改当前所选模型",
    "Enable full page image viewer": "启用整页图像查看界面",
    "Show images zoomed in by default in full page image viewer": "在整页图像查看界面中默认显示放大的图像",
    "Show generation progress in window title.": "在浏览器标题中显示生成进度",
    "Quicksettings list": "快速设置列表",
    "Localization (requires restart)": "加载本地化文件(需要重启)",
    "Sampler parameters": "采样工具参数",
    "Hide samplers in user interface (requires restart)": "在用户界面中隐藏采样工具(需要重启)",
    "eta (noise multiplier) for DDIM": "eta(噪声倍增器)用于DDIM",
    "eta (noise multiplier) for ancestral samplers": "eta(噪声倍增器)用于原始采样工具",
    "img2img DDIM discretize": "图像转图像DDIM离散化",
    "uniform": "uniform",
    "quad": "quad",
    "sigma churn": "sigma混合",
    "sigma tmin": "sigma时长",
    "sigma noise": "sigma噪声",
    "Eta noise seed delta": "Eta噪声种子",
    "Request browser notifications": "浏览器请求的通知",
    "Download localization template": "下载本地化模板",
    "Reload custom script bodies (No ui updates, No restart)": "重新加载自定义脚本主体(不更新ui,不重新启动)",
    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "重新启动Gradio和刷新组件(自定义脚本,ui.py,js和css)",
    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "描述词语句(按Ctrl+Enter或Alt+Enter生成)",
    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "否定描述词语句(按Ctrl+Enter或Alt+Enter生成)",
    "Add a random artist to the prompt.": "随机将一个艺术家添加到描述词语句中",
    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "如果用户界面描述词语句为空.,则从描述词语或上一次中读取生成参数到用户界面",
    "Save style": "保存预设",
    "Apply selected styles to current prompt": "应用选定预设到当前描述词",
    "Stop processing current image and continue processing.": "停止生成当前的图像并继续生成后继图像",
    "Stop processing images and return any results accumulated so far.": "停止处理图像并返回已生成的任意结果",
    "Style to apply; styles have components for both positive and negative prompts and apply to both": "预设应用; 预设可以作用于正面描述词和负面描述词两种,并适用于两者",
    "Do not do anything special": "什么都不做",
    "Which algorithm to use to produce the image": "使用哪种算法生成图像",
    "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 A-非常有创意,每一张都可以根据步数得到完全不同的图片,设置步数高于30-40没用",
    "Denoising Diffusion Implicit Models - best at inpainting": "去噪扩散隐式模型-最好的图像修补模型",
    "Produce an image that can be tiled.": "生成可以平铺的图像",
    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "仅使用2步来创建一个小分辨率且高解析度的图像,然后再不改变构图的情况下改进图像细节",
    "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.": "决定算法对于图像内容的遵守程度。为0时,什么都不会改变。为1时,你讲会得到一个毫不相关的图像。使用低于1的值时,处理所需要的步骤将少于指定的采样步骤",
    "How many batches of images to create": "要生成多少次图像",
    "How many image to create in a single batch": "一次生成多少张图像",
    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "分类器引导量化值-生成的图像要多大程度符合描述词描述-值越低越能产生更有创意的结果",
    "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": "决定随机数生成器的值-如果你创建的图像跟另一个图像具有相同的参数,描述词和随机数,你会得到同样的结果",
    "Set seed to -1, which will cause a new random number to be used every time": "将图像生成种子设置为-1,这样每次生成图像都会用一个新的随机数",
    "Reuse seed from last generation, mostly useful if it was randomed": "重复使用上一个图像生成种子,通常在它是随机的情况下是有用的",
    "Seed of a different picture to be mixed into the generation.": "将不同的图像的图像生成种子混合到这一代",
    "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).": "产生变异的程度.在0时,没有影响.在1时,你会得到变异种子的完成图像(除了遗传采样器,你只会得到一些东西)",
    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "尝试生成与指定分辨率下相同种子生成的图像相似的图像",
    "Separate values for X axis using commas.": "用逗号分隔X轴的值",
    "Separate values for Y axis using commas.": "用逗号分隔Y轴的值",
    "Write image to a directory (default - log/images) and generation parameters into csv file.": "将图像写到目录(默认为-log/images)并将生成的参数写入CSV文件",
    "Open images output directory": "打开图像输出目录",
    "How much to blur the mask before processing, in pixels.": "处理蒙版前模糊多少,以像素为单位",
    "What to put inside the masked area before processing it with Stable Diffusion.": "在使用Stable Diffusion模型进行处理之前,要在蒙版区域放入什么",
    "fill it with colors of the image": "用图像的颜色填充它",
    "keep whatever was there originally": "保留住原来的东西",
    "fill it with latent space noise": "用隐空间噪音填满它",
    "fill it with latent space zeroes": "用零点隐空间填满它",
    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "将蒙版区域放大到目标分辨率进行修复,然后缩小尺寸并粘贴回原始图像中",
    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "调整图像的分辨率到目标分辨率。除非高度和宽度匹配,否则你将会得到不正常的横纵比",
    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "调整图像的分辨率大小,使得图像填充整个目标分辨率。会裁剪掉突出的部分",
    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像的分辨率大小,使整个图像在目标分辨率内",
    "How many times to repeat processing an image and using it as input for the next iteration": "需要重复处理一张图像,并将其作为下一个迭代的输入对象多少次",
    "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.": "在图像迭代模式下,在每一次循环中,去噪强度乘以该值。小于1表示减少多样性,所以你的序列将收敛于固定的图像。大于1表示增加多样性,所以你的序列会变得越来越混乱",
    "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.": "来自SD放大, 贴图中间应该有多少像素重叠。因为是切片重叠,所以当它们合并回一张图像时,没有清晰可见的接缝",
    "A directory on the same machine where the server is running.": "在运行服务器的同一台机器上的目录",
    "Leave blank to save images to the default path.": "留空将保存图像到默认路径",
    "Result = A * (1 - M) + B * M": "结果=A*(1-M)+B*Mesult = A * (1 - M) + B * M",
    "Result = A + (B - C) * M": "结果=A+(B-C)*Mesult = A + (B - C) * M",
    "1st and last digit must be 1. ex:'1, 2, 1'": "第一个和最后一个数字必须是1.例如:'1,2,1'",
    "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.": "需要多快的训练速度?较低的值需要更长的训练时间，较高的值可能无法收束(不能产生准确的结果)和/或可能会破坏Emb嵌入模型(这种情况会发生在训练信息提示Loss:nan.如果发生这或者那个情况,你需要从一个旧的未损坏备份恢复Emb嵌入模型).你可以设置一个数值，或者多个学习速率使用语法:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\n将会以0.005的速率学习前100步,然后以1e-3(0.001)的学习率学习到1000步,然后以1e-5(0.000001)的学习率学习剩余步数",
    "Path to directory with input images": "包含输入图像目录的路径",
    "Path to directory where to write outputs": "写入输出目录的路径",
    "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.": "使用以下标签来定义如何选择图像的文件名:[steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp];默认为空",
    "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.": "如果启用此选项,将不会把水印添加到创建的图像中。警告:如果不添加水印.,你的行为可能是不道德的",
    "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.": "使用以下标签来定义如何选择图像和网格的子目录:[steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp];默认为空",
    "Restore low quality faces using GFPGAN neural network": "利用GFPGAN神经网络修复低质量的人脸",
    "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.": "该正则表达式将从文件名中提取描述词.,并使用下面的选项将它们连接到用于训练的标签文本中。留空以保持文件名文本原样",
    "This string will be used to join split words into a single line if the option above is enabled.": "如果启用了上面的选项,则此字符将用于将拆分的单词连接成一行",
    "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": "设置列表名称.,以逗号分隔.,用于设置应该进入顶部的快速访问栏.,而不是通常的设置选项。参见modules/shared.py设置名称。需要重新启动才能应用",
    "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.": "如果值不为0,它会被添加到'图像生成种子/seed'中,并且再使用带有Eta的采样工具时初始化噪声的RNG。你可以用它生成更多不一样的图像,或者你可以使用它来匹配其他软件的图像.",
    "Enable Autocomplete": "启动词条自动补全"
}