diff --git a/localizations/zh_CN.json b/localizations/zh_CN.json index b796c625..80962f62 100644 --- a/localizations/zh_CN.json +++ b/localizations/zh_CN.json @@ -18,7 +18,6 @@ "Train": "训练", "Create aesthetic embedding": "生成美术风格", "Image Browser": "图库浏览器", - "History": "历史记录", "Settings": "设置", "Prompt": "提示词", "Negative prompt": "反向提示词", @@ -70,7 +69,6 @@ "Resize seed from width": "自宽度缩放随机种子", "Resize seed from height": "自高度缩放随机种子", "Open for Clip Aesthetic!": "打开美术风格 Clip!", - "▼": "▼", "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", @@ -87,10 +85,8 @@ "X/Y plot": "X/Y 图表", "Source embedding to convert": "用于转换的源 Embedding", "Embedding token": "Embedding 的 token (关键词)", + "Output directory": "输出目录", "Put variable parts at start of prompt": "把变量部分放在提示词文本的开头", - "Show Textbox": "显示文本框", - "File with inputs": "含输入内容的文件", - "Prompts": "提示词", "Iterate seed every line": "每行输入都换一个种子", "List of prompt inputs": "提示词输入列表", "Upload prompt inputs": "上传提示词输入文件", @@ -119,7 +115,6 @@ "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", - "Drop Image Here": "拖拽图像到此", "Save": "保存", "Send to img2img": ">> 图生图", "Send to inpaint": ">> 内补绘制", @@ -131,6 +126,7 @@ "Inpaint": "内补绘制", "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": "用于内补绘制蒙版内容的图像", "Mask": "蒙版", "Mask blur": "蒙版模糊", @@ -149,9 +145,7 @@ "Inpaint at full resolution padding, pixels": "以完整分辨率进行内补绘制 - 填补像素", "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", "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", - "Disabled when launched with --hide-ui-dir-config.": "启动 --hide-ui-dir-config 时禁用", "Input directory": "输入目录", - "Output directory": "输出目录", "Resize mode": "缩放模式", "Just resize": "拉伸", "Crop and resize": "裁剪", @@ -185,6 +179,7 @@ "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": "Upscaler", "Lanczos": "Lanczos", "LDSR": "LDSR", "BSRGAN 4x": "BSRGAN 4x", @@ -202,14 +197,11 @@ "Scale to": "指定尺寸缩放", "Resize": "缩放", "Crop to fit": "裁剪以适应", - "Upscaler 1": "放大算法 1", - "Upscaler 2": "放大算法 2", "Upscaler 2 visibility": "放大算法 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", - "Open output directory": "打开输出目录", "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(ckpt)", @@ -227,7 +219,6 @@ "wiki": "帮助", "for detailed explanation.": "以了解详细说明", "Create embedding": "生成 embedding", - "Create aesthetic images embedding": "生成美术风格图集 embedding", "Create hypernetwork": "生成 hypernetwork", "Preprocess images": "图像预处理", "Name": "名称", @@ -283,7 +274,6 @@ "prepend": "放前面", "append": "放后面", "Create flipped copies": "生成镜像副本", - "Split oversized images into two": "将过大的图像分为两份", "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)", @@ -295,13 +285,11 @@ "Focal point edges weight": "焦点线条权重", "Create debug image": "生成调试(debug)图片", "Preprocess": "预处理", - "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", "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", "[wiki]": "[帮助]", "Embedding": "Embedding", "Embedding Learning rate": "Embedding 学习率", "Hypernetwork Learning rate": "Hypernetwork 学习率", - "Learning rate": "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", @@ -314,25 +302,15 @@ "Train Embedding": "训练 Embedding", "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": "生成图集 embedding", - "txt2img history": "文生图历史记录", - "img2img history": "图生图历史记录", - "extras history": "更多选项卡的历史记录", - "Renew Page": "刷新页面", - "extras": "更多", "favorites": "已保存", "others": "其他", - "custom fold": "自定义文件夹", - "Load": "载入", "Images directory": "图像目录", "Dropdown": "下拉列表", - "Prev batch": "上一批", - "Next batch": "下一批", "First Page": "首页", "Prev Page": "上一页", "Page Index": "页数", "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", "delete next": "删除下一张", "Delete": "删除", "sort by": "排序方式", @@ -341,9 +319,8 @@ "keyword": "关键词", "Generate Info": "生成信息", "File Name": "文件名", - "Collect": "保存", - "Refresh page": "刷新页面", - "Date to": "日期至", + "Move to favorites": "Move to favorites", + "Renew Page": "刷新页面", "Number": "数量", "set_index": "设置索引", "load_switch": "载入开关", @@ -400,7 +377,6 @@ "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", - "Unload VAE and CLIP from VRAM when training": "训练时从显存(VRAM)中取消 VAE 和 CLIP 的加载", "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)", "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", @@ -463,9 +439,7 @@ "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", - "Number of pictures displayed on each page": "每页显示的图像数量", "Minimum number of pages per load": "每次加载的最小页数", - "Number of grids in each row": "每行显示多少格", "Wildcards": "通配符", "Use same seed for all images": "为所有图像使用同一个随机种子", "Request browser notifications": "请求浏览器通知", @@ -520,7 +494,6 @@ "Result = A * (1 - M) + B * M": "结果 = A * (1 - M) + B * M", "Result = A + (B - C) * M": "结果 = 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:'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.": "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", "Path to directory with input images": "带有输入图像的路径", "Path to directory where to write outputs": "进行输出的路径", "Input images directory": "输入图像目录", @@ -537,5 +510,33 @@ "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", "Roll three": "抽三位出来", "Generate forever": "无限生成", - "Cancel generate forever": "停止无限生成" -} + "Cancel generate forever": "停止无限生成", + "History": "历史记录", + "▼": "▼", + "Show Textbox": "显示文本框", + "File with inputs": "含输入内容的文件", + "Prompts": "提示词", + "Disabled when launched with --hide-ui-dir-config.": "启动 --hide-ui-dir-config 时禁用", + "Upscaler 1": "放大算法 1", + "Upscaler 2": "放大算法 2", + "Open output directory": "打开输出目录", + "Create aesthetic images embedding": "生成美术风格图集 embedding", + "Split oversized images into two": "将过大的图像分为两份", + "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", + "Learning rate": "学习率", + "txt2img history": "文生图历史记录", + "img2img history": "图生图历史记录", + "extras history": "更多选项卡的历史记录", + "extras": "更多", + "custom fold": "自定义文件夹", + "Load": "载入", + "Prev batch": "上一批", + "Next batch": "下一批", + "number of images to delete consecutively next": "接下来要连续删除的图像数", + "Date to": "日期至", + "Refresh page": "刷新页面", + "Unload VAE and CLIP from VRAM when training": "训练时从显存(VRAM)中取消 VAE 和 CLIP 的加载", + "Number of pictures displayed on each page": "每页显示的图像数量", + "Number of grids in each row": "每行显示多少格", + "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" +} \ No newline at end of file