re-order content to match the dump
Deprecated content was moved to the bottom to keep (somehow) backwards capability.
This commit is contained in:
dtlnor
parent
5d69f75e5b
commit
0ccc982f09
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@ -18,7 +18,6 @@
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"Train": "训练",
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"Create aesthetic embedding": "生成美术风格",
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"Image Browser": "图库浏览器",
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"History": "历史记录",
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"Settings": "设置",
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"Prompt": "提示词",
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"Negative prompt": "反向提示词",
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@ -70,7 +69,6 @@
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"Resize seed from width": "自宽度缩放随机种子",
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"Resize seed from height": "自高度缩放随机种子",
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"Open for Clip Aesthetic!": "打开美术风格 Clip!",
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"▼": "▼",
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"Aesthetic weight": "美术风格权重",
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"Aesthetic steps": "美术风格迭代步数",
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"Aesthetic learning rate": "美术风格学习率",
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@ -87,10 +85,8 @@
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"X/Y plot": "X/Y 图表",
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"Source embedding to convert": "用于转换的源 Embedding",
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"Embedding token": "Embedding 的 token (关键词)",
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"Output directory": "输出目录",
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"Put variable parts at start of prompt": "把变量部分放在提示词文本的开头",
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"Show Textbox": "显示文本框",
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"File with inputs": "含输入内容的文件",
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"Prompts": "提示词",
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"Iterate seed every line": "每行输入都换一个种子",
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"List of prompt inputs": "提示词输入列表",
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"Upload prompt inputs": "上传提示词输入文件",
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@ -119,7 +115,6 @@
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"Draw legend": "在图表中包括轴标题",
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"Include Separate Images": "包括独立的图像",
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"Keep -1 for seeds": "保持随机种子为-1",
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"Drop Image Here": "拖拽图像到此",
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"Save": "保存",
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"Send to img2img": ">> 图生图",
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"Send to inpaint": ">> 内补绘制",
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@ -131,6 +126,7 @@
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"Inpaint": "内补绘制",
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"Batch img2img": "批量图生图",
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"Image for img2img": "图生图的图像",
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"Drop Image Here": "拖拽图像到此",
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"Image for inpainting with mask": "用于内补绘制蒙版内容的图像",
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"Mask": "蒙版",
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"Mask blur": "蒙版模糊",
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@ -149,9 +145,7 @@
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"Inpaint at full resolution padding, pixels": "以完整分辨率进行内补绘制 - 填补像素",
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"Process images in a directory on the same machine where the server is running.": "在服务器主机上的目录中处理图像",
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"Use an empty output directory to save pictures normally instead of writing to the output directory.": "指定一个空的文件夹为输出目录而非默认的 output 文件夹为输出目录",
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"Disabled when launched with --hide-ui-dir-config.": "启动 --hide-ui-dir-config 时禁用",
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"Input directory": "输入目录",
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"Output directory": "输出目录",
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"Resize mode": "缩放模式",
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"Just resize": "拉伸",
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"Crop and resize": "裁剪",
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@ -185,6 +179,7 @@
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"Color variation": "色彩变化",
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"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)",
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"Tile overlap": "图块重叠的像素(Tile overlap)",
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"Upscaler": "Upscaler",
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"Lanczos": "Lanczos",
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"LDSR": "LDSR",
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"BSRGAN 4x": "BSRGAN 4x",
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@ -202,14 +197,11 @@
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"Scale to": "指定尺寸缩放",
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"Resize": "缩放",
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"Crop to fit": "裁剪以适应",
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"Upscaler 1": "放大算法 1",
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"Upscaler 2": "放大算法 2",
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"Upscaler 2 visibility": "放大算法 2 可见度",
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"GFPGAN visibility": "GFPGAN 可见度",
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"CodeFormer visibility": "CodeFormer 可见度",
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"CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 权重 (0 = 最大效果, 1 = 最小效果)",
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"Upscale Before Restoring Faces": "放大后再进行面部修复",
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"Open output directory": "打开输出目录",
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"Send to txt2img": ">> 文生图",
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"A merger of the two checkpoints will be generated in your": "合并后的模型(ckpt)会生成在你的",
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"checkpoint": "模型(ckpt)",
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@ -227,7 +219,6 @@
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"wiki": "帮助",
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"for detailed explanation.": "以了解详细说明",
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"Create embedding": "生成 embedding",
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"Create aesthetic images embedding": "生成美术风格图集 embedding",
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"Create hypernetwork": "生成 hypernetwork",
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"Preprocess images": "图像预处理",
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"Name": "名称",
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@ -283,7 +274,6 @@
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"prepend": "放前面",
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"append": "放后面",
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"Create flipped copies": "生成镜像副本",
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"Split oversized images into two": "将过大的图像分为两份",
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"Split oversized images": "分割过大的图像",
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"Auto focal point crop": "自动焦点裁切",
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"Use BLIP for caption": "使用 BLIP 生成说明文字(自然语言描述)",
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@ -295,13 +285,11 @@
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"Focal point edges weight": "焦点线条权重",
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"Create debug image": "生成调试(debug)图片",
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"Preprocess": "预处理",
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"Train an embedding; must specify a directory with a set of 1:1 ratio images": "训练 embedding； 必须指定一组具有 1:1 比例图像的目录",
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"Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "训练 embedding 或者 hypernetwork； 必须指定一组具有 1:1 比例图像的目录",
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"[wiki]": "[帮助]",
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"Embedding": "Embedding",
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"Embedding Learning rate": "Embedding 学习率",
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"Hypernetwork Learning rate": "Hypernetwork 学习率",
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"Learning rate": "学习率",
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"Dataset directory": "数据集目录",
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"Log directory": "日志目录",
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"Prompt template file": "提示词模版文件",
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@ -314,25 +302,15 @@
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"Train Embedding": "训练 Embedding",
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"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",
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"Create images embedding": "生成图集 embedding",
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"txt2img history": "文生图历史记录",
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"img2img history": "图生图历史记录",
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"extras history": "更多选项卡的历史记录",
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"Renew Page": "刷新页面",
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"extras": "更多",
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"favorites": "已保存",
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"others": "其他",
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"custom fold": "自定义文件夹",
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"Load": "载入",
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"Images directory": "图像目录",
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"Dropdown": "下拉列表",
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"Prev batch": "上一批",
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"Next batch": "下一批",
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"First Page": "首页",
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"Prev Page": "上一页",
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"Page Index": "页数",
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"Next Page": "下一页",
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"End Page": "尾页",
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"number of images to delete consecutively next": "接下来要连续删除的图像数",
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"delete next": "删除下一张",
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"Delete": "删除",
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"sort by": "排序方式",
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@ -341,9 +319,8 @@
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"keyword": "关键词",
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"Generate Info": "生成信息",
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"File Name": "文件名",
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"Collect": "保存",
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"Refresh page": "刷新页面",
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"Date to": "日期至",
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"Move to favorites": "Move to favorites",
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"Renew Page": "刷新页面",
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"Number": "数量",
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"set_index": "设置索引",
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"load_switch": "载入开关",
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@ -400,7 +377,6 @@
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"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)",
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"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",
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"Training": "训练",
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"Unload VAE and CLIP from VRAM when training": "训练时从显存(VRAM)中取消 VAE 和 CLIP 的加载",
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"Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练时将 VAE 和 CLIP 从显存(VRAM)移放到内存(RAM)，节省显存(VRAM)",
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"Filename word regex": "文件名用词的正则表达式",
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"Filename join string": "文件名连接用字符串",
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@ -463,9 +439,7 @@
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"Preload images at startup": "在启动时预加载图像",
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"Number of columns on the page": "每页列数",
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"Number of rows on the page": "每页行数",
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"Number of pictures displayed on each page": "每页显示的图像数量",
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"Minimum number of pages per load": "每次加载的最小页数",
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"Number of grids in each row": "每行显示多少格",
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"Wildcards": "通配符",
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"Use same seed for all images": "为所有图像使用同一个随机种子",
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"Request browser notifications": "请求浏览器通知",
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@ -520,7 +494,6 @@
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"Result = A * (1 - M) + B * M": "结果 = A * (1 - M) + B * M",
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"Result = A + (B - C) * M": "结果 = A + (B - C) * M",
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"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'",
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"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",
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"Path to directory with input images": "带有输入图像的路径",
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"Path to directory where to write outputs": "进行输出的路径",
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"Input images directory": "输入图像目录",
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@ -537,5 +510,33 @@
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"Allowed categories for random artists selection when using the Roll button": "使用抽选艺术家按钮时将会随机的艺术家类别",
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"Roll three": "抽三位出来",
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"Generate forever": "无限生成",
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"Cancel generate forever": "停止无限生成"
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}
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"Cancel generate forever": "停止无限生成",
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"History": "历史记录",
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"▼": "▼",
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"Show Textbox": "显示文本框",
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"File with inputs": "含输入内容的文件",
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"Prompts": "提示词",
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"Disabled when launched with --hide-ui-dir-config.": "启动 --hide-ui-dir-config 时禁用",
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"Upscaler 1": "放大算法 1",
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"Upscaler 2": "放大算法 2",
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"Open output directory": "打开输出目录",
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"Create aesthetic images embedding": "生成美术风格图集 embedding",
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"Split oversized images into two": "将过大的图像分为两份",
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"Train an embedding; must specify a directory with a set of 1:1 ratio images": "训练 embedding； 必须指定一组具有 1:1 比例图像的目录",
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"Learning rate": "学习率",
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"txt2img history": "文生图历史记录",
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"img2img history": "图生图历史记录",
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"extras history": "更多选项卡的历史记录",
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"extras": "更多",
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"custom fold": "自定义文件夹",
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"Load": "载入",
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"Prev batch": "上一批",
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"Next batch": "下一批",
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"number of images to delete consecutively next": "接下来要连续删除的图像数",
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"Date to": "日期至",
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"Refresh page": "刷新页面",
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"Unload VAE and CLIP from VRAM when training": "训练时从显存(VRAM)中取消 VAE 和 CLIP 的加载",
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"Number of pictures displayed on each page": "每页显示的图像数量",
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"Number of grids in each row": "每行显示多少格",
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"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"
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}
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