{ "⤡": "⤡", "⊞": "⊞", "×": "×", "❮": "❮", "❯": "❯", "Loading...": "载入中...", "view": "查看", "api": "api", "•": "・", "built with gradio": "基于 Gradio 构建", "Stable Diffusion checkpoint": "Stable Diffusion 模型(ckpt)", "txt2img": "文生图", "img2img": "图生图", "Extras": "更多", "PNG Info": "图片信息", "Checkpoint Merger": "模型合并", "Train": "训练", "Dreambooth": "Dreambooth", "Smart Preprocess": "智能预处理", "Create aesthetic embedding": "创建美术风格", "Embedding Editor": "Embedding 编辑器", "Image Browser": "图库浏览器", "Tokenizer": "词元分析器(Tokenizer)", "Training Picker": "训练图挑选器", "Settings": "设置", "Extensions": "扩展", "Prompt": "提示词", "Negative prompt": "反向提示词", "Run": "运行", "Skip": "跳过", "Interrupt": "中止", "Generate": "生成", "Style 1": "模版风格 1", "Style 2": "模版风格 2", "Label": "标签", "File": "文件", "Drop File Here": "拖拽文件到此", "-": "-", "or": "或", "Click to Upload": "点击上传", "Image": "图像", "Check progress": "查看进度", "Check progress (first)": "(首次)查看进度", "Sampling Steps": "采样迭代步数(Steps)", "Sampling method": "采样方法(Sampler)", "Euler a": "Euler a", "Euler": "Euler", "LMS": "LMS", "Heun": "Heun", "DPM2": "DPM2", "DPM2 a": "DPM2 a", "DPM++ 2S a": "DPM++ 2S a", "DPM++ 2M": "DPM++ 2M", "DPM fast": "DPM fast", "DPM adaptive": "DPM adaptive", "LMS Karras": "LMS Karras", "DPM2 Karras": "DPM2 Karras", "DPM2 a Karras": "DPM2 a Karras", "DPM++ 2S a Karras": "DPM++ 2S a Karras", "DPM++ 2M Karras": "DPM++ 2M Karras", "DDIM": "DDIM", "PLMS": "PLMS", "Width": "宽度", "Height": "高度", "Restore faces": "面部修复", "Tiling": "可平铺(Tiling)", "Highres. fix": "高分辨率修复", "Firstpass width": "首次宽度", "Firstpass height": "首次高度", "Denoising strength": "重绘幅度(Denoising)", "Batch count": "生成批次", "Batch size": "每批数量", "CFG Scale": "提示词相关性(CFG Scale)", "Seed": "随机种子(seed)", "Extra": "▼", "Variation seed": "差异随机种子", "Variation strength": "差异强度", "Resize seed from width": "宽度(Resize seed)", "Resize seed from height": "高度(Resize seed)", "Latent Mirror mode": "镜像潜空间模式", "None": "无", "Alternate Steps": "交替迭代", "Blend Average": "平均混合", "Latent Mirror style": "潜空间镜像方式", "Vertical Mirroring": "垂直镜像", "Horizontal Mirroring": "水平镜像", "Horizontal+Vertical Mirroring": "垂直+水平镜像", "90 Degree Rotation": "90度旋转", "180 Degree Rotation": "180度旋转", "Roll Channels": "色彩通道轮替", "X panning": "沿 X 轴滚动", "Y panning": "沿 Y 轴滚动", "Maximum steps fraction to mirror at": "镜像干涉止步于总迭代步数的", "Open for Clip Aesthetic!": "打开以调整 Clip 的美术风格！", "Aesthetic weight": "美术风格权重", "Aesthetic steps": "美术风格迭代步数", "Aesthetic learning rate": "美术风格学习率", "Slerp interpolation": "球面线性插值", "Aesthetic imgs embedding": "美术风格图集 embedding", "Aesthetic text for imgs": "该图集的美术风格描述", "Slerp angle": "球面线性插值角度", "Is negative text": "是反向提示词", "Conditioning Highres.fix strength (for sd-v1-5-inpainting)": "高分辨率修复原图调节强度 (专为 sd-v1-5-inpainting 设计)", "Cond.fix: Disabled (none)": "修复时调节: 禁用 (无)", "Cond.fix: Empty": "修复时调节: 空掉", "Cond.fix: Lowest": "修复时调节: 最小", "Cond.fix: Low": "修复时调节: 小", "Cond.fix: Medium": "修复时调节: 中", "Cond.fix: High (recommended)": "修复时调节: 高 (推荐)", "Cond.fix: Highest": "修复时调节: 最高", "Cond.fix: Full": "修复时调节: 完全", "Randomize": "随机化", "Enable": "启用", "Sampler": "采样器", "Steps": "迭代步数", "Highres. percentage chance": "高清修复：随机概率", "Highres. Denoising Strength": "高清修复：重绘幅度", "Highres. Width": "高清修复：第一遍宽度", "Highres. Height": "高清修复：第一遍高度", "Stop at CLIP layers": "在 CLIP 模型的最后哪一层停下 (Clip skip)", "Dry Run": "试运行", "Dismiss": "屏蔽", "Script": "脚本", "Advanced Seed Blending": "高阶种子混合", "Embedding to Shareable PNG": "将 Embedding 转换为可分享的 PNG 图片文件", "Prompt matrix": "提示词矩阵", "Prompts from file or textbox": "从文本框或文件载入提示词", "X/Y plot": "X/Y 图表", "X/Y/Z plot": "X/Y/Z 图表", "Seed travel": "种子变迁", "Shift attention": "关注转移", "Prompt Travel": "提示词变迁", "Seeds": "随机种子", "Source embedding to convert": "用于转换的源 Embedding", "Embedding token": "Embedding 的词元(Token) / 关键词", "Output directory": "输出目录", "Put variable parts at start of prompt": "把可变部分放在提示词文本的开头", "Iterate seed every line": "每行输入都换一个随机种子", "Use same random seed for all lines": "每行输入都使用同一个随机种子", "List of prompt inputs": "提示词输入列表", "Upload prompt inputs": "上传提示词输入文件", "X type": "X轴类型", "Nothing": "无", "Var. seed": "差异随机种子", "Var. strength": "差异强度", "Prompt S/R": "提示词搜索/替换", "Prompt order": "提示词顺序", "Checkpoint name": "模型(ckpt)名", "Hypernetwork": "超网络(Hypernetwork)", "Hypernet str.": "超网络(Hypernetwork) 强度", "Sigma Churn": "Sigma Churn", "Sigma min": "最小 Sigma", "Sigma max": "最大 Sigma", "Sigma noise": "Sigma 噪声", "Eta": "Eta", "Clip skip": "Clip 跳过层数", "Denoising": "重绘幅度", "Cond. Image Mask Weight": "图像调节屏蔽度", "X values": "X轴值", "Y type": "Y轴类型", "Y values": "Y轴值", "Draw legend": "在图表中包括轴标题", "Include Separate Images": "包括独立的图像", "Keep -1 for seeds": "保持随机种子为-1", "Z type": "Z轴类型", "Z values": "Z轴数值", "Primary detection model (A)": "首要检测模型 (A)", "Detection confidence threshold % (A)": "检测置信阈值 % (A)", "Dilation factor (A)": "扩张(Dilation)因子 (A)", "X offset (A)": "X 偏移 (A)", "Y offset (A)": "Y 偏移 (A)", "Inpaint model B detections before model A runs": "在模型 A 运行之前，先局部重绘模型 B 的检测", "Bitwise operation": "按位(Bitwise)运算", "A&B": "A&B", "A-B": "A-B", "Secondary detection model (B) (optional)": "次要检测模型 (B) (可选)", "Detection confidence threshold % (B)": "检测置信阈值 % (B)", "Dilation factor (B)": "扩张因子 (B)", "X offset (B)": "X 偏移 (B)", "Y offset (B)": "Y 偏移 (B)", "Denoising strength (Inpaint)": "重绘幅度 (局部重绘)", "Destination seed(s) (Comma separated)": "目标种子 (逗号分割)", "Only use Random seeds (Unless comparing paths)": "只用随机种子 (除非需要对比变迁轨迹)", "Number of random seed(s)": "随机种子数量", "Compare paths (Separate travels from 1st seed to each destination)": "对比变迁轨迹 (从第一个种子分别变迁到每一个目标种子)", "Loop back to initial seed": "再变迁回初始种子", "Save results as video": "保存结果为视频", "Frames per second": "每秒多少帧", "Number of frames for lead in/out": "渐入/渐出帧数", "Bump seed (If > 0 do a Compare Paths but only one image. No video)": "自动递增种子 (大于 0 的时候会对比变迁轨迹，但不会生成视频而是只是一张图)", "Show generated images in ui": "在用户界面上显示生成了的图像", "\"Hug the middle\" during interpolation": "在插值的途中 \"主动去找中间点\"", "Allow the default Euler a Sampling method. (Does not produce good results)": "允许使用默认的 Eular a 采样方法. (通常不会出漂亮的结果)", "Travel mode": "变迁模式", "linear": "线性(linear)", "replace": "取代", "grad": "梯度", "Travel steps between stages": "每个阶段变迁的迭代步数", "Replace order (replace mode)": "取代顺序 (取代模式)", "Replace order": "取代顺序", "random": "随机", "most_similar": "最相似", "most_different": "最大差异", "grad_min": "最小梯度", "grad_max": "最大梯度", "Step size (grad mode)": "步幅 (梯度模式)", "Step count (grad mode)": "步数 (梯度模式)", "Step method (grad mode)": "步进方法 (梯度模式)", "Step size": "步幅 (梯度模式)", "Step count": "步数 (梯度模式)", "Step method": "步进方法 (梯度模式)", "clip": "clip", "sign": "sign", "tanh": "tanh", "Weight for latent match (grad/replace-grad mode)": "用于匹配潜空间(latent)的权重 (梯度/取代模式)", "Weight for cond match (grad/replace-grad mode)": "用于匹配文字调节(cond)的权重 (梯度/取代模式)", "Weight for latent match": "用于匹配潜空间(latent)的权重", "Weight for cond match": "用于匹配文字调节(cond)的权重", "Video file format": "视频格式", "mp4": "mp4", "gif": "gif", "Video FPS": "视频 FPS", "Pad begin/end frames": "预留开始/结束帧", "Pick frames every n-th": "每 n 帧挑选 1 帧", "Video drop last frame": "丢弃视频最后一帧", "Show verbose debug info at console": "在控制台中输出详尽的调试信息", "Save": "保存", "Send to img2img": ">> 图生图", "Send to inpaint": ">> 局部重绘", "Send to extras": ">> 更多", "Make Zip when Save?": "保存时创建zip压缩文件?", "Textbox": "文本框", "Interrogate\nCLIP": "　　CLIP　　\n反推提示词", "Interrogate\nDeepBooru": "DeepBooru\n反推提示词", "Inpaint": "局部重绘", "Batch img2img": "批量图生图", "Image for img2img": "图生图的图像", "Drop Image Here": "拖拽图像到此", "Image for inpainting with mask": "用于局部重绘并手动画蒙版的图像", "Mask": "蒙版", "Mask blur": "蒙版模糊", "Mask mode": "蒙版模式", "Draw mask": "绘制蒙版", "Upload mask": "上传蒙版", "Masking mode": "蒙版模式", "Inpaint masked": "重绘蒙版内容", "Inpaint not masked": "重绘非蒙版内容", "Masked content": "蒙版蒙住的内容", "fill": "填充", "original": "原图", "latent noise": "潜空间噪声", "latent nothing": "潜空间数值零", "Inpaint at full resolution": "全分辨率局部重绘", "Inpaint at full resolution padding, pixels": "预留像素", "Process images in a directory on the same machine where the server is running.": "处理服务器主机上某一目录里的图像", "Use an empty output directory to save pictures normally instead of writing to the output directory.": "输出图像到一个空目录，而非设置里指定的输出目录", "Input directory": "输入目录", "Resize mode": "缩放模式", "Just resize": "拉伸", "Crop and resize": "裁剪", "Resize and fill": "填充", "img2img alternative test": "图生图的另一种测试", "Loopback": "回送", "Outpainting mk2": "向外绘制第二版", "Poor man's outpainting": "效果稍差的向外绘制", "SD upscale": "使用 SD 放大(SD upscale)", "should be 2 or lower.": "应小于等于2", "Override `Sampling method` to Euler?(this method is built for it)": "覆写 `采样方法` 为 Euler?(这个方法就是为它设计的)", "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "覆写 `提示词` 为 `初始提示词`?(`反向提示词` 同理)", "Original prompt": "初始提示词", "Original negative prompt": "初始反向提示词", "Override `Sampling Steps` to the same value as `Decode steps`?": "覆写 `采样迭代步数` 为 `解码迭代步数`?", "Decode steps": "解码迭代步数", "Override `Denoising strength` to 1?": "覆写 `重绘幅度` 为 1?", "Decode CFG scale": "解码提示词相关性(CFG scale)", "Randomness": "随机度", "Sigma adjustment for finding noise for image": "为寻找图中噪点的 Sigma 调整", "Loops": "迭代次数", "Denoising strength change factor": "重绘幅度的调整系数", "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推荐设置：采样迭代步数：80-100，采样器：Euler a，重绘幅度：0.8", "Pixels to expand": "拓展的像素数", "Outpainting direction": "向外绘制的方向", "left": "左", "right": "右", "up": "上", "down": "下", "Fall-off exponent (lower=higher detail)": "衰减指数(越小细节越好)", "Color variation": "色彩变化", "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "将图像放大到两倍尺寸； 使用宽度和高度滑块设置图块尺寸(tile size)", "Tile overlap": "图块重叠的像素(Tile overlap)", "Upscaler": "放大算法", "Lanczos": "Lanczos", "Nearest": "最邻近(整数缩放)", "LDSR": "LDSR", "BSRGAN 4x": "BSRGAN 4x", "ESRGAN_4x": "ESRGAN_4x", "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B", "ScuNET GAN": "ScuNET GAN", "ScuNET PSNR": "ScuNET PSNR", "SwinIR_4x": "SwinIR 4x", "Recommended settings: Use from inpaint tab, inpaint at full res ON, denoise <0.5": "推荐设置：于局部重绘选项卡使用，开启全分辨率局部重绘，重绘幅度(Denoising) < 0.5", "Single Image": "单张图像", "Batch Process": "批量处理", "Batch from Directory": "从目录进行批量处理", "Source": "来源", "Show result images": "显示输出图像", "Scale by": "等比缩放", "Scale to": "指定分辨率缩放", "Resize": "缩放比例", "Crop to fit": "裁剪以适应宽高比", "Upscaler 2 visibility": "放大算法 2 (Upscaler 2) 可见度", "GFPGAN visibility": "GFPGAN 可见度", "CodeFormer visibility": "CodeFormer 可见度", "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 权重 (0 = 最大效果, 1 = 最小效果)", "Upscale Before Restoring Faces": "放大后再进行面部修复", "Send to txt2img": ">> 文生图", "A merger of the two checkpoints will be generated in your": "合并后的模型(ckpt)会生成在你的", "checkpoint": "模型", "directory.": "目录", "Primary model (A)": "主要模型 (A)", "Secondary model (B)": "第二模型 (B)", "Tertiary model (C)": "第三模型 (C)", "Custom Name (Optional)": "自定义名称 (可选)", "Multiplier (M) - set to 0 to get model A": "倍率 (M) - 设为 0 等价于模型 A", "Interpolation Method": "插值方法", "Weighted sum": "加权和", "Add difference": "加上差值", "Save as float16": "以 float16 储存", "See": "查看", "wiki": "wiki文档", "for detailed explanation.": "以了解详细说明", "Create embedding": "创建 Embedding", "Create hypernetwork": "创建超网络(Hypernetwork)", "Preprocess images": "图像预处理", "DreamArtist Create embedding": "梦作家 创建 embedding", "DreamArtist Train": "梦作家 训练", "Name": "名称", "Initialization text": "初始化文字", "Number of vectors per token": "每个词元(token)的向量数", "Overwrite Old Embedding": "覆写旧的 Embedding", "Modules": "模块", "Enter hypernetwork layer structure": "输入超网络层结构", "Select activation function of hypernetwork. Recommended : Swish / Linear(none)": "选择超网络的激活函数。建议 : Swish / Linear(线性，等于不用)", "relu": "relu", "leakyrelu": "leakyrelu", "elu": "elu", "swish": "swish", "sigmoid": "sigmoid", "celu": "celu", "gelu": "gelu", "glu": "glu", "hardshrink": "hardshrink", "hardsigmoid": "hardsigmoid", "hardtanh": "hardtanh", "logsigmoid": "logsigmoid", "logsoftmax": "logsoftmax", "mish": "mish", "prelu": "prelu", "rrelu": "rrelu", "relu6": "relu6", "selu": "selu", "silu": "silu", "softmax": "softmax", "softmax2d": "softmax2d", "softmin": "softmin", "softplus": "softplus", "softshrink": "softshrink", "softsign": "softsign", "tanhshrink": "tanhshrink", "threshold": "阈值", "Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise": "选择初始化层权重的方案。建议：类relu 用 Kaiming； 类sigmoid 用 Xavier；其它就用正态", "Normal": "正态", "KaimingUniform": "Kaiming 均匀", "KaimingNormal": "Kaiming 正态", "XavierUniform": "Xavier 均匀", "XavierNormal": "Xavier 正态", "Add layer normalization": "添加层标准化", "Use dropout": "采用 dropout 防止过拟合", "Overwrite Old Hypernetwork": "覆写旧的超网络", "Source directory": "源目录", "Destination directory": "目标目录", "Existing Caption txt Action": "对已有的 txt 描述文本的行为", "ignore": "无视", "copy": "复制", "prepend": "放前面", "append": "放后面", "Create flipped copies": "创建镜像副本", "Split oversized images": "分割过大的图像", "Auto focal point crop": "自动焦点裁切", "Use BLIP for caption": "使用 BLIP 生成说明文字(自然语言描述)", "Use deepbooru for caption": "使用 deepbooru 生成说明文字(tags)", "Split image threshold": "图像分割阈值", "Split image overlap ratio": "分割图像重叠的比率", "Focal point face weight": "焦点面部权重", "Focal point entropy weight": "焦点熵权重", "Focal point edges weight": "焦点线条权重", "Create debug image": "创建调试(debug)图片", "Preprocess": "预处理", "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "训练 Embedding 或者 超网络；必须指定一个具有一组 1:1 比例图像的目录", "[wiki]": "[wiki文档]", "Embedding": "Embedding", "Embedding Learning rate": "Embedding 学习率", "Hypernetwork Learning rate": "超网络学习率", "Dataset directory": "数据集目录", "Log directory": "日志目录", "Prompt template file": "提示词模版文件", "Max steps": "最大迭代步数", "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 表示禁用", "Save a copy of embedding to log directory every N steps, 0 to disable": "每 N 步将 embedding 的副本保存到日志目录，0 表示禁用", "Save images with embedding in PNG chunks": "保存图像，并在 PNG 图片文件中嵌入 embedding 文件", "Read parameters (prompt, etc...) from txt2img tab when making previews": "进行预览时，从文生图选项卡中读取参数（提示词等）", "Train Hypernetwork": "训练超网络", "Train Embedding": "训练 Embedding", "Use negative embedding (DreamArtist)": "使用反向 embedding (梦作家)", "Number of negative vectors per token": "每个词元(token)的反向向量数", "DreamArtist": "梦作家", "Train with DreamArtist": "使用梦作家训练", "Train with reconstruction": "训练时开启重建", "CFG scale": "提示词相关性(CFG Scale)", "Reconstruction loss weight": "重建 损失(loss) 权重", "Negative lr weight": "反向的学习率权重", "Classifier path": "分类器(Classifier)的路径", "Model": "模型", "Load Params": "载入参数", "Cancel": "取消", "Create Model": "创建模型", "Train Model": "训练模型", "Import Model from Huggingface Hub": "自 Huggingface Hub 载入模型", "Model Path": "模型路径", "HuggingFace Token": "HuggingFace 令牌(Token)", "Source Checkpoint": "源模型(ckpt)", "Scheduler": "调度器(Scheduler)", "ddim": "ddim", "pndm": "pndm", "lms": "lms", "Create": "创建", "Generate Ckpt": "创建模型(ckpt)", "Training Wizard (Person)": "训练配置器 (人物)", "Training Wizard (Object/Style)": "训练配置器 (物件/风格)", "Concepts List (Overrides instance/class settings below)": "概念列表（将取代下面实例/类这两项设置）", "Use Concepts List": "使用概念列表", "Concepts List": "概念列表", "Instance prompt": "实例(Instance)提示词", "Uses the image's filename as the image labels instead of the instance prompt": "使用图像的文件名作为图像标签而非实例提示词", "Uses the filename.txt file's content as the image labels instead of the instance prompt": "使用 文件名.txt 文件的内容作为图像的提示词而非实例提示词", "Dataset Directory": "数据集目录", "Class prompt": "类(Class)提示词", "Class Prompt": "类(Class)提示词", "Pretrained VAE Name or Path": "预训练的 VAE 名字或者路径", "Classification dataset directory (optional).": "分类(Classification)数据集目录（可选）", "Classification Dataset Directory": "分类(Classification)数据集目录", "Total number of classification images to use. Set to 0 to disable.": "要使用的分类(classification)图像总数。设置为 0 以禁用", "Total Number of Class/Reg Images": "用于分类/规范化的图像总数", "Classification Image Negative Prompt": "分类(classification)图像反向提示词", "Classification CFG Scale": "分类提示词相关性(Classification CFG scale)", "Classification Steps": "分类(Classification)迭代步数", "Training steps": "训练迭代步数", "Training Steps": "训练迭代步数", "Batch Size": "每批数量(Batch Size)", "Class Batch Size": "类每批数量(Class Batch Size)", "Learning rate": "学习率", "Learning Rate": "学习率", "Resolution": "分辨率", "Save a checkpoint every N steps, 0 to disable": "每隔 N 步保存一次模型权重进度(ckpt)，设置为 0 以禁用", "Generate a preview image every N steps, 0 to disable": "每隔 N 步生成一次预览图，设置为 0 以禁用", "Preview image prompt": "预览图提示词", "Preview image negative prompt": "预览图反向提示词", "Number of samples to generate": "要生成的样本数", "Sample guidance scale": "样本的指导尺度(guidance scale) - 类似基准 CFG scale 的概念", "Sample steps": "样本迭代步数", "Learning Rate Scheduler": "学习率调度器(Scheduler)", "Save Checkpoint Frequency": "保存模型权重进度(ckpt)的频率", "Save Preview(s) Frequency": "保存预览的频率", "Sample Image Prompt": "样本图像的提示词", "Sample Image Negative Prompt": "样本图像的反向提示词", "Number of Samples to Generate": "要生成的样本数量", "Sample Seed": "样本种子", "Sample CFG Scale": "样本提示词相关性(CFG Scale)", "Sample Steps": "样本迭代步数", "Advanced": "高阶", "Auto-Adjust (WIP)": "自动调整 (施工中)", "Use CPU Only (SLOW)": "只用 CPU (很慢)", "Don't cache latents": "不要缓存潜空间变量", "Don't Cache Latents": "不要缓存潜空间变量", "Train Text Encoder": "训练文本编码器", "Train EMA": "训练 EMA", "Use 8bit Adam": "使用 8bit Adam", "Center Crop": "中心裁切", "Gradient Checkpointing": "梯度进度记录(Gradient Checkpointing) - 以时间换显存", "Scale Learning Rate": "缩放学习率", "Mixed Precision": "混合精度", "no": "否", "fp16": "fp16", "bf16": "bf16", "cosine": "余弦(cosine)", "cosine_with_restarts": "含重启的余弦(cosine)", "polynomial": "多项式(polynomial)", "constant": "常量(constant)", "constant_with_warmup": "含预热的常量(constant)", "# Training Epochs": "训练多少期(Epochs)", "Adam Beta 1": "Adam Beta 1", "Adam Beta 2": "Adam Beta 2", "Adam Weight Decay": "Adam 权重衰减(Weight Decay)", "Adam Epsilon": "Adam Epsilon (替代 0 的常量，防止直接除以 0)", "Max Grad Norms": "最大梯度范数(Max Grad Norms)", "Grad Accumulation Steps": "梯度累加步数(Grad Accumulation Steps)", "Gradient Accumulation Steps": "梯度累加步数(Gradient Accumulation Steps)", "Warmup Steps": "预热步数", "Pad Tokens": "词元(Tokens)垫齐", "Max Token Length": "最大词元(Token)长度", "Max Token Length (Requires Pad Tokens for > 75)": "最大词元(Token)长度 (词元(Token) > 75 时会进行留空)", "Apply horizontal Flip": "应用水平翻转", "Apply Horizontal Flip": "应用水平翻转", "Use EMA for finetuning": "使用 EMA 进行微调", "Directories": "目录", "Cropping": "剪裁", "Captions": "描述文本", "Post-Processing": "后处理", "Crop Images": "剪裁图像", "Split over-sized images": "分割过大的图像", "Generate Captions": "生成描述文本", "Max Caption length (0=unlimited)": "最大描述长度 (0=无限制)", "Existing Caption Action": "对已有的描述文本的行为", "Append Caption to File Name": "把描述文本接在文件名后面", "Save Caption to .txt File": "储存描述文本为 .txt 文件", "Append DeepDanbooru to Caption": "把 DeepDanbooru 的结果接在已有的描述文本后面", "Replace Class with Subject in Caption": "将描述文本中的类(Class)替换成主体(Subject)", "Subject Class": "主体类别(Subject Class)", "Subject Name": "主体(Subject)名", "Restore Faces": "面部修复", "Face Restore Model": "面部修复模型", "GFPGAN": "GFPGAN", "Codeformer": "Codeformer", "Upscale and Resize": "放大并调整大小", "Upscale Ratio": "放大比例", "Create an aesthetic embedding out of any number of images": "从任意数量的图像中创建美术风格 embedding", "Create images embedding": "创建图集 embedding", "Vector": "向量", "Refresh Embeddings": "刷新 Embeddings", "Save Embedding": "保存 Embedding", "Enter words and color hexes to mark weights on the sliders for guidance. Hint: Use the txt2img prompt token counter or": "输入文字和颜色十六进制代码以在滑块上标记权重作为引导。 提示：使用文生图提示词词元计数器或使用", "webui-tokenizer": "词元分析器(tokenizer)扩展", "to see which words are constructed using multiple sub-words, e.g. 'computer' doesn't exist in stable diffusion's CLIP dictionary and instead 'compu' and 'ter' are used (1 word but 2 embedding vectors). Currently buggy and needs a moment to process before pressing the button. If it doesn't work after a moment, try adding a random space to refresh it.": "查看哪些词是使用多个子词构成的，例如 Stable Diffusion 的 CLIP 字典中不存在 'computer'，而是使用 'compu' 以及 'ter'（1 个单词但使用 2 个 embedding 向量）。目前这个扩展还有点问题，在按下按钮之前需要一点时间来处理。如果过了一会还是不行，试试随便加个空格刷新一下", "Generate Preview": "生成预览", "Favorites": "收藏夹(已保存)", "Others": "其他", "Images directory": "图像目录", "Dropdown": "下拉列表", "First Page": "首页", "Prev Page": "上一页", "Page Index": "页数", "Next Page": "下一页", "End Page": "尾页", "delete next": "删除下一张", "Delete": "删除", "sort by": "排序方式", "path name": "路径名", "date": "日期", "keyword": "搜索", "Generate Info": "生成信息", "File Name": "文件名", "Move to favorites": "移动到收藏夹(保存)", "Renew Page": "刷新页面", "Number": "数量", "set_index": "设置索引", "load_switch": "载入开关", "turn_page_switch": "翻页开关", "Checkbox": "勾选框", "Before your text is sent to the neural network, it gets turned into numbers in a process called tokenization. These tokens are how the neural network reads and interprets text. Thanks to our great friends at Shousetsu愛 for inspiration for this feature.": "在你的文本被发送到神经网络之前，它在一个称为词元化(tokenization)的过程中被转化为数字。这些词元(tokens)是神经网络阅读和解释文本的方式。感谢我们伟大的朋友 Shousetsu愛 为这个功能带来的灵感", "Text input": "文本输入", "ID input": "ID 输入", "Tokenize": "词元拆分(Tokenize)", "Text": "文本", "Tokens": "词元(Tokens)", "Video to extract frames from:": "要从中提取帧的视频：", "Only extract keyframes (recommended)": "只提取关键帧（推荐）", "Extract every nth frame": "每第 n 帧提取一次", "Extract Frames": "提取帧", "Extracted Frame Set": "提取好的帧", "Resize crops to 512x512": "缩放剪裁至 512x512", "Outfill method:": "填充方法：", "Don't outfill": "不进行填充", "Stretch image": "拉伸图像", "Transparent": "透明", "Solid color": "纯色", "Average image color": "平均图像颜色", "Dominant image color": "图像主色", "Stretch pixels at border": "延伸边缘的像素", "Reflect image around border": "从边缘镜像图像内容", "Blurred & stretched overlay": "模糊拉伸的叠加层", "Reuse original image": "复用原图", "Reset Aspect Ratio": "重置纵横比", "Bulk process frames with chosen outfill method": "使用选定的填充方法批量处理截取的帧", "Image border outfill method:": "图像边缘的填充方法：", "Black outfill": "填黑", "Outfill border color:": "填充颜色：", "Blur amount:": "模糊量：", "Number of clusters:": "簇数：", "Save crops to:": "储存裁剪好的成品到：", "<": "<", ">": ">", "Apply settings": "保存设置", "Saving images/grids": "保存图像/宫格图", "Always save all generated images": "始终保存所有生成的图像", "File format for images": "图像的文件格式", "Images filename pattern": "图像文件名格式", "Add number to filename when saving": "储存的时候在文件名里添加数字", "Always save all generated image grids": "始终保存所有生成的宫格图", "File format for grids": "宫格图的文件格式", "Add extended info (seed, prompt) to filename when saving grid": "保存宫格图时，将扩展信息（随机种子、提示词）添加到文件名", "Do not save grids consisting of one picture": "只有一张图片时不要保存宫格图", "Prevent empty spots in grid (when set to autodetect)": "（启用自动检测时）防止宫格图中出现空位", "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "宫格图行数； 使用 -1 进行自动检测，使用 0 使其与每批数量相同", "Save text information about generation parameters as chunks to png files": "将有关生成参数的文本信息，作为块保存到 png 图片文件中", "Create a text file next to every image with generation parameters.": "保存图像时，在每个图像旁边创建一个文本文件储存生成参数", "Save a copy of image before doing face restoration.": "在进行面部修复之前保存图像副本", "Save a copy of image before applying highres fix.": "在做高分辨率修复之前保存初始图像副本", "Save a copy of image before applying color correction to img2img results": "在对图生图结果应用颜色校正之前保存图像副本", "Quality for saved jpeg images": "保存的 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 图像大于 4MB 或宽高大于 4000，则缩小并保存副本为 JPG 图片", "Use original name for output filename during batch process in extras tab": "在更多选项卡中的批量处理过程中，使用原始名称作为输出文件名", "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": "不要给图像加水印", "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，则默认为以下三个目录", "Output directory for txt2img images": "文生图的输出目录", "Output directory for img2img images": "图生图的输出目录", "Output directory for images from extras tab": "更多选项卡的输出目录", "Output directory for grids; if empty, defaults to two directories below": "宫格图的输出目录； 如果为空，则默认为以下两个目录", "Output directory for txt2img grids": "文生图宫格的输出目录", "Output directory for img2img grids": "图生图宫格的输出目录", "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": "将宫格图保存到子目录", "When using \"Save\" button, save images to a subdirectory": "使用“保存”按钮时，将图像保存到子目录", "Directory name pattern": "目录名称格式", "Max prompt words for [prompt_words] pattern": "[prompt_words] 格式的最大提示词数量", "Upscaling": "放大", "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 的图块尺寸(Tile size)。0 = 不分块(no tiling)", "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGAN 的图块重叠(Tile overlap)像素。低值 = 可见接缝", "Tile size for all SwinIR.": "适用所有 SwinIR 系算法的图块尺寸(Tile size)", "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "SwinIR 的图块重叠(Tile overlap)像素。低值 = 可见接缝", "LDSR processing steps. Lower = faster": "LDSR 处理步数。更低 = 更快", "Upscaler for img2img": "图生图的放大算法", "Upscale latent space image when doing hires. fix": "做高分辨率修复时，也放大潜空间图像", "Face restoration": "面部修复", "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 权重参数； 0 = 最大效果； 1 = 最小效果", "Move face restoration model from VRAM into RAM after processing": "面部修复处理完成后，将面部修复模型从显存(VRAM)移至内存(RAM)", "System": "系统", "VRAM usage polls per second during generation. Set to 0 to disable.": "生成图像时，每秒轮询显存(VRAM)使用情况的次数。设置为 0 以禁用", "Always print all generation info to standard output": "始终将所有生成信息输出到 standard output (一般为控制台)", "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", "Move VAE and CLIP to RAM when training if possible. Saves VRAM.": "训练时将 VAE 和 CLIP 从显存(VRAM)移放到内存(RAM)如果可行的话，节省显存(VRAM)", "Shuffleing tags by ',' when create texts.": "创建文本时打乱以 ',' 分割的 tags", "Dropout tags when create texts": "创建文本时随机丢弃一些 tags", "Saves Optimizer state as separate *.optim file. Training can be resumed with HN itself and matching optim file.": "将优化器状态保存为单独的 *.optim 文件。可以使用超网络(HN)本身和匹配的优化文件继续中断了的训练。", "Filename word regex": "文件名用词的正则表达式", "Filename join string": "文件名连接用字符串", "Number of repeats for a single input image per epoch; used only for displaying epoch number": "每期(epoch)中单个输入图像的重复次数； 仅用于显示期(epoch)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 loss 的 csv 表格到日志目录，0 表示禁用", "Use cross attention optimizations while training": "训练时开启 cross attention 优化", "Stable Diffusion": "Stable Diffusion", "Checkpoints to cache in RAM": "缓存在内存(RAM)中的模型(ckpt)", "SD VAE": "模型的 VAE (SD VAE)", "auto": "自动", "Hypernetwork strength": "Hypernetwork 强度", "Inpainting conditioning mask strength": "局部重绘时图像调节的蒙版屏蔽强度", "Apply color correction to img2img results to match original colors.": "对图生图结果应用颜色校正以匹配原始颜色", "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图生图的时候，确切地执行滑块指定的迭代步数（正常情况下更弱的重绘幅度需要更少的迭代步数）", "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 采样器中启用量化以获得更清晰、更清晰的结果。这可能会改变现有的随机种子。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": "强调符：使用 (文字) 使模型更关注该文本，使用 [文字] 使其减少关注", "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调符实现。可用于复现旧随机种子", "Make K-diffusion samplers produce same images in a batch as when making a single image": "使 K-diffusion 采样器 批量生成与生成单个图像时，产出相同的图像", "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "当使用超过 75 个词元(tokens)时，通过从 n 个词元(tokens)中的最后一个逗号留空来提高一致性", "Filter NSFW content": "过滤成人内容(NSFW)", "Stop At last layers of CLIP model": "在 CLIP 模型的最后哪一层停下 (Clip skip)", "Interrogate Options": "反推提示词选项", "Interrogate: keep models in VRAM": "反推: 将模型保存在显存(VRAM)中", "Interrogate: use artists from artists.csv": "反推: 使用 artists.csv 中的艺术家", "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "反推: 在生成结果中包含与模型标签(tags)相匹配的等级（对基于生成自然语言描述的反推没有影响）", "Interrogate: num_beams for BLIP": "反推: BLIP 的 num_beams", "Interrogate: minimum description length (excluding artists, etc..)": "反推: 最小描述长度（不包括艺术家, 等…）", "Interrogate: maximum description length": "反推: 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": "反推: deepbooru 分数阈值", "Interrogate: deepbooru sort alphabetically": "反推: deepbooru 按字母顺序排序", "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)": "在 deepbooru 中使用转义 (\\) 括号（因此它们用作文字括号而不是强调符号）", "User interface": "用户界面", "Show progressbar": "显示进度条", "Show image creation progress every N sampling steps. Set to 0 to disable. Set to -1 to show after completion of batch.": "每 N 个采样迭代步数显示图像生成进度。设置 0 禁用，设置 -1 使预览在批量生成完成之后再显示", "Show previews of all images generated in a batch as a grid": "以网格的形式，预览批量生成的所有图像", "Show grid in results for web": "在网页的结果中显示宫格图", "Do not show any images in results for web": "不在网页的结果中显示任何图像", "Add model hash to generation information": "将模型的哈希值添加到生成信息", "Add model name to generation information": "将模型名称添加到生成信息", "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "从文本读取生成参数到用户界面（从 PNG 图片信息或粘贴文本）时，不要更改选定的模型(ckpt)", "Send seed when sending prompt or image to other interface": "将提示词或者图片发送到 >> 其他界面时，把随机种子也传送过去", "Font for image grids that have text": "有文字的宫格图使用的字体", "Enable full page image viewer": "启用整页图像查看器", "Show images zoomed in by default in full page image viewer": "在整页图像查看器中，默认放大显示图像", "Show generation progress in window title.": "在窗口标题中显示生成进度", "Quicksettings list": "快速设置列表", "Localization (requires restart)": "本地化翻译（需要保存设置，并重启Gradio）", "Sampler parameters": "采样器参数", "Hide samplers in user interface (requires restart)": "在用户界面中隐藏采样器（需要重新启动）", "eta (noise multiplier) for DDIM": "DDIM 的 eta (噪声乘数) ", "eta (noise multiplier) for ancestral samplers": "ancestral 采样器的 eta (噪声乘数)", "img2img DDIM discretize": "图生图 DDIM 离散化", "uniform": "均匀", "quad": "二阶", "sigma churn": "sigma churn", "sigma tmin": "最小(tmin) sigma", "sigma noise": "sigma 噪声", "Eta noise seed delta": "Eta 噪声种子偏移(ENSD - Eta noise seed delta)", "Images Browser": "图库浏览器", "Preload images at startup": "在启动时预加载图像", "Number of columns on the page": "每页列数", "Number of rows on the page": "每页行数", "Minimum number of pages per load": "每次加载的最小页数", "Use same seed for all images": "为所有图像使用同一个随机种子", "Save mask previews": "保存蒙版预览", "Output directory for mask previews": "蒙版预览的输出目录", "Save masks": "保存蒙版", "Output directory for masks": "蒙版输出目录", "Fixed size to resize images to": "调整图像大小到固定大小", "Path to read videos from": "读取视频的路径", "Path to store extracted frame sets in": "储存截取帧的路径", "Default cropped image output directory": "裁切后的成品的默认输出目录", "Request browser notifications": "请求浏览器通知", "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（无用户界面更新，无重启）", "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "重启 Gradio 及刷新组件（仅限自定义脚本、ui.py、js 和 css）", "Installing...": "安装中...", "Installed": "已安装", "Available": "可用", "Install from URL": "从网址安装", "Apply and restart UI": "应用并重启用户界面", "Check for updates": "检查更新", "Extension": "扩展", "URL": "网址", "Update": "更新", "DreamArtist-sd-webui-extension": "梦作家", "SD-latent-mirroring": "镜像潜空间图像", "unknown": "未知", "a1111-sd-webui-tagcomplete": "Tag自动补全", "auto-sd-paint-ext": "画图工具插件", "ddetailer": "检测细致化", "deforum-for-automatic1111-webui": "Deforum", "novelai-2-local-prompt": "novelai 转 webui 括号", "sd-dynamic-prompts": "动态提示词", "sd_dreambooth_extension": "dreambooth 插件", "sd_smartprocess": "智能预处理", "seed_travel": "种子变迁", "shift-attention": "关注转移", "stable-diffusion-webui-aesthetic-gradients": "美术风格梯度", "stable-diffusion-webui-aesthetic-image-scorer": "美术风格评分", "stable-diffusion-webui-artists-to-study": "艺术家图库", "stable-diffusion-webui-auto-tls-https": "自动 tls-https", "stable-diffusion-webui-conditioning-highres-fix": "高分辨率修复原图调节强度 ", "stable-diffusion-webui-dataset-tag-editor": "数据集标签编辑器", "stable-diffusion-webui-embedding-editor": "embedding 编辑器", "stable-diffusion-webui-images-browser": "图库浏览器", "stable-diffusion-webui-inspiration": "灵感", "stable-diffusion-webui-localization-zh_CN": "简体中文语言包", "stable-diffusion-webui-localization-zh_TW": "正體中文語言包", "stable-diffusion-webui-prompt-travel": "提示词变迁", "stable-diffusion-webui-randomize": "随机化", "stable-diffusion-webui-tokenizer": "词元分析器(tokenizer)", "stable-diffusion-webui-wildcards": "通配符", "training-picker": "训练图挑选器", "unprompted": "非文本（代码化）提示词", "Load from:": "加载自", "Extension index URL": "扩展列表链接", "Hide extensions with tags": "隐藏含有以下标签的扩展", "script": "脚本", "ads": "含广告", "localization": "本地化", "URL for extension's git repository": "扩展的 git 仓库链接", "Local directory name": "本地路径名", "Install": "安装", "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "提示词（按 Ctrl+Enter 或 Alt+Enter 生成）\nPrompt", "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "反向提示词（按 Ctrl+Enter 或 Alt+Enter 生成）\nNegative prompt", "Add a random artist to the prompt.": "随机添加一个艺术家到提示词中", "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "从提示词中读取生成参数，如果提示词为空，则读取上一次的生成参数到用户界面", "Save style": "储存为模版风格", "Apply selected styles to current prompt": "将所选模板风格，应用于当前提示词", "Stop processing current image and continue processing.": "停止处理当前图像，并继续处理下一个", "Stop processing images and return any results accumulated so far.": "停止处理图像，并返回迄今为止累积的任何结果", "Style to apply; styles have components for both positive and negative prompts and apply to both": "要使用的模版风格； 模版风格包含正向和反向提示词，并应用于两者\n🎨 随机添加一个艺术家到提示词中\n ↙️ 从提示词中读取生成参数，如果提示词为空，则读取上一次的生成参数到用户界面\n💾 将当前的提示词保存为模版风格(保存在styles.csv)\n📋 将所选模板风格，应用于当前提示词\n如果你在文本中添加{prompt}标记，并保存为模版风格\n那么将来你使用该模版风格时，你现有的提示词会替换模版风格中的{prompt}", "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 Ancestral - 非常有创意，可以根据迭代步数获得完全不同的图像，将迭代步数设置为高于 30-40 不会有正面作用", "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit models - 最擅长局部重绘", "Produce an image that can be tiled.": "生成可用于平铺(tiled)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": "使用两步处理的时候，以较小的分辨率生成初步图像、接着放大图像，然后在不更改构图的情况下改进其中的细节", "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.": "决定算法对图像内容的影响程度。设置 0 时，什么都不会改变，而在 1 时，你将获得不相关的图像。\n值低于 1.0 时，处理的迭代步数将少于“采样迭代步数”滑块指定的步数", "How many batches of images to create": "创建多少批次的图像", "How many image to create in a single batch": "每批创建多少图像", "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "无分类器指导信息影响尺度(Classifier Free Guidance Scale) - 图像应在多大程度上服从提示词 - 较低的值会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": "一个固定随机数生成器输出的值 - 以相同参数和随机种子生成的图像会得到相同的结果\n🎲 将随机种子设置为-1，则每次都会使用一个新的随机数\n♻️ 重用上一次使用的随机种子，如果想要固定输出结果就会很有用", "Set seed to -1, which will cause a new random number to be used every time": "将随机种子设置为-1，则每次都会使用一个新的随机数", "Reuse seed from last generation, mostly useful if it was randomed": "重用上一次使用的随机种子，如果想要固定结果就会很有用", "Seed of a different picture to be mixed into the generation.": "将要参与生成的另一张图的随机种子", "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).": "想要产生多强烈的变化。设为 0 时，将没有效果。设为 1 时，你将获得完全产自差异随机种子的图像（此功能对带有 a 后缀的采样器无效）", "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“同一随机种子在指定分辨率下生成的图像”相似的图片", "This text is used to rotate the feature space of the imgs embs": "此文本用于旋转图集 embeddings 的特征空间", "Comma separated list": "以逗号分割的列表", "Range of stepped values (min, max, step)": "含步幅的随机范围 (最小, 最大, 步幅)", "Float value from 0 to 1": "从 0 到 1 的浮点数数值", "Separate values for X axis using commas.": "使用逗号分隔 X 轴的值", "Separate values for Y axis using commas.": "使用逗号分隔 Y 轴的值", "Write image to a directory (default - log/images) and generation parameters into csv file.": "将图像写入目录（默认 - log/images）并将生成参数写入 csv 表格文件", "Open images output directory": "打开图像输出目录", "How much to blur the mask before processing, in pixels.": "处理前要对蒙版进行多强的模糊，以像素为单位", "What to put inside the masked area before processing it with Stable Diffusion.": "在使用 Stable Diffusion 处理蒙版区域之前要在蒙版区域内放置什么", "fill it with colors of the image": "用图像的颜色(高强度模糊)填充它", "keep whatever was there originally": "保留原来的图像，不进行预处理", "fill it with latent space noise": "于潜空间填充噪声", "fill it with latent space zeroes": "于潜空间填零", "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "将蒙版区域（包括预留像素长度的缓冲区域）放大到目标分辨率，进行局部重绘。\n然后缩小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.": "将图像大小调整为目标分辨率。除非高度和宽度匹配，否则你将获得不正确的纵横比", "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "调整图像大小，使整个目标分辨率都被图像填充。裁剪多出来的部分", "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。用图像的颜色填充空白区域", "How many times to repeat processing an image and using it as input for the next iteration": "重复处理图像并用作下次迭代输入的次数", "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.": "在回送模式下，在每个循环中，重绘幅度都会乘以该值。<1 表示减少多样性，因此你的这一组图将集中在固定的图像上。>1 意味着增加多样性，因此你的这一组图将变得越来越混乱", "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.": "使用 SD 放大(SD upscale)时，图块(Tiles)之间应该有多少像素重叠。图块(Tiles)之间需要重叠才可以让它们在合并回一张图像时，没有清晰可见的接缝", "A directory on the same machine where the server is running.": "服务器主机上某一目录", "Leave blank to save images to the default path.": "留空以将图像保存到默认路径", "Result = A * (1 - M) + B * M": "结果 = A * (1 - M) + B * M", "Result = A + (B - C) * M": "结果 = A + (B - C) * M", "The name of the model to create.": "要创建的模型的名称", "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:'1, 2, 1'", "Path to directory with input images": "带有输入图像的目录路径", "Path to directory where to write outputs": "进行输出的目录路径", "Path to classifier ckpt, can be empty": "分类器的路径，可留空", "Path to JSON file with concepts to train.": "用于训练概念的 JSON 文件路径", "The model to train.": "要训练的模型", "Load model paramters from the last training session.": "从上次训练中加载模型参数", "Generate a checkpoint at the current training lvel.": "生成当前训练级别的模型权重进度(ckpt)", "Cancel training.": "取消训练", "Start training.": "开始训练", "Import a model from Huggingface.co instead of using a local checkpoint.": "从 Huggingface.co 导入模型而非使用本地的模型(ckpt)", "The URL to the model on huggingface. Should be in the format of 'developer/model_name'.": "huggingface 模型的 URL。应为 'developer/model_name' 的格式", "Your huggingface token to use for cloning files.": "用于下载文件的 huggingface 令牌(token)", "The source checkpoint to extract for training.": "用于训练的要提取的源模型(ckpt)", "Schedule to use for official training stuff.": "选择要用于训练官方东西的调度器", "Create the danged model already.": "创建一个本就很牛的模型", "Calculate training parameters for a human subject. Enables prior preservation.": "计算训练人物主体需要的参数。并启用先验存留(prior preservation)", "Calculate training parameters for a non-human subject. Disables prior preservation.": "计算训练非人物主体需要的参数。并禁用先验存留(prior preservation)", "Train multiple concepts from a JSON file or string.": "从 JSON 文件或字符串训练多个概念", "The path to the concepts JSON file, or a JSON string.": "储存概念的 JSON 文件的路径，或 JSON 字符串", "Path to JSON file with concepts to train, or a JSON string.": "包含要训练的概念的 JSON 文件的路径，或 JSON 字符串", "Optionally use [filewords] to read image captions from files.": "可选择使用 [filewords] 去从文件中读取图像的描述", "The directory containing training images.": "包含训练图像的目录", "A prompt for generating classification/regularization images. See the readme for more info.": "生成分类/规范化图像用的提示词。详细信息请参阅 readme", "The directory containing classification/regularization images.": "包含分类/规范化图像的目录", "(Optional) Path to directory with classification/regularization images": "（可选）带有分类/规范化图像的目录路径", "Total number of training steps to perform. If provided, overrides num_train_epochs.": "要执行的训练迭代步数总数。如果填了，则覆盖 '训练多少期(num_train_epochs)'", "Total number of classification/regularization images to use. If no images exist, they will be generated. Set to 0 to disable prior preservation.": "要使用的分类/规范化图像总数。如果没有图像，就生成一些。设置为 0 以禁用先验存留(prior preservation)", "A negative prompt to use when generating class images. Can be empty.": "生成类图像时使用的否定提示。 可以为空。", "The Classifier-Free Guidance Scale to use for classifier/regularization images.": "用于分类/规范化图像的提示词相关性(CFG Scale - 无分类器指导信息影响尺度(Classifier-Free Guidance Scale))", "The number of steps to use when generating classifier/regularization images.": "生成分类/规范化图像时使用的步数", "The resolution of input images. You probably want to pre-process them to match this.": "输入图像的分辨率。你可能希望对它们进行预处理以匹配它", "Leave blank to use base model VAE.": "留空以使用基底模型的 VAE", "Path to directory with classification images": "分类图像的目录路径", "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.": "训练应该多快。低值将需要更长的时间来训练，高值可能无法收敛（无法产生准确的结果）以及/也许可能会破坏 embedding（如果你在训练信息文本框中看到 Loss: nan 就会发生这种情况。如果发生这种情况，你需要从较旧的未损坏的备份手动恢复 embedding）\n\n你可以使用以下语法设置单个数值或多个学习率：\n\n 率1:步限1, 率2:步限2, ...\n\n如: 0.005:100, 1e-3:1000, 1e-5\n\n即前 100 步将以 0.005 的速率训练，接着直到 1000 步为止以 1e-3 训练，然后剩余所有步以 1e-5 训练", "The rate at which the model learns. Default is 0.000005. Use a lower value like 0.000002 or 0.000001 for more complex subjects...like people.": "模型的学习速率。默认为 0.000005。对于更复杂的主体......比如人物，使用较低的值，如 0.000002 或 0.000001", "Scale the learning rate by the number of GPUs, gradient accumulation steps, and batch size.": "通过 GPU 数量、梯度累加步数(gradient accumulation steps)和每批数量(batch size)来缩放学习率", "Number of steps for the warmup in the lr scheduler.": "学习率调度器中的预热步数", "The learning rate scheduler to use.": "要使用的学习率调度器", "Save a checkpoint every N steps. ": "每 N 步保存一次模型权重进度(ckpt)", "Generate preview images every N steps.": "每 N 步生成一次预览图像", "The prompt to use when generating preview images.": "生成预览图像时使用的提示词", "Leave blank to use instance prompt.": "留空以使用实例提示词", "A negative prompt to use when generating preview images.": "生成预览图像时使用的反向提示词", "How many samples to generate per subject.": "每个主体生成多少样本", "The seed to use when generating samples. Set to -1 to use a random seed every time.": "生成样本时使用的随机种子。设置为 -1 时每次都使用随机的种子", "Number of sampling steps to use when generating preview images.": "生成预览图像时要使用的采样迭代步数", "Attempt to automatically set training parameters based on total VRAM. Still under development.": "尝试根据总显存(VRAM)自动设置训练参数。仍在开发中", "How many images to process at once per training step?": "每步训练要处理多少张图像？", "How many classifier/regularization images to generate at once.": "一次生成多少分类/规范化图像。", "Guess what - this will be incredibly slow, but it will work for < 8GB GPUs.": "你猜怎么着 - 这将非常地慢我的老伙计，但它适用于 < 8GB 显存(VRAM)的 GPU", "Don't checkpoint the gradients, Duh. Set to False to slightly increase speed at the cost of a bit of VRAM.": "保存权重进度时不要保存梯度，啊不废话。设置为 False 以消耗一点显存(VRAM)为代价略微提高速度", "You probably want this to be 'fp16'.": "如果你想要设置为半精度(fp16)的话", "When this box is *checked* latents will not be cached. When latents are not cached, you will save a bit of VRAM, but train slightly slower": "当此框被*选中*时，将不会缓存潜空间参数(latents)。当潜空间参数(latents)没有被缓存时，你会节省一点显存(VRAM)，但训练速度会稍微慢一些", "Enabling this will provide better results and editability, but cost more VRAM.": "启用此功能将提供更好的结果和可编辑性，但会消耗更多显存(VRAM)", "Enable this to save VRAM.": "启用此项以节省显存(VRAM)", "Set this to 2 to increase speed?": "将此设置为 2 以提高速度？", "If an image is too large, crop it from the center.": "如果图像太大，裁掉边缘", "Randomly decide to flip images horizontally.": "随机决定要不要水平翻转图像", "Set this or number of steps to train for, not both.": "设置这个或者'训练迭代步数'，两者不能同时用", "The beta1 parameter for the Adam optimizer.": "Adam 优化器的 beta1 参数", "The beta2 parameter for the Adam optimizer.": "Adam 优化器的 beta2 参数", "Weight decay for the Adam optimizer, duh.": "Adam 优化器的权重衰减（废话）", "Max Gradient norms.": "最大梯度范数(Max Gradient norms)", "Pad the input images token lenght to this amount. You probably want to do this.": "将输入图像的词元长度垫齐到此数量。你可能会想要这样做", "Subject class to crop (leave blank to auto-detect)": "要裁剪的主体类别(Subject class)（留空以自动检测）", "Subject Name to replace class with in captions": "描述文本中要替换类(class)的主体名(subject)", "Restore low quality faces using GFPGAN neural network": "使用 GFPGAN 神经网络修复低质量面部", "symbol:color-hex, symbol:color-hex, ...": "文字:颜色代码, 文字:颜色代码, ...", "e.g. A portrait photo of embedding_name": "示例： A portrait photo of embedding_name", "Input images directory": "输入图像目录", "Prompt for tokenization": "给词元化准备的提示词", "Ids for tokenization (example: 9061, 631, 736)": "用于词元化的 ID (例: 9061, 631, 736)", "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], [datetime], [datetime