re-order content to match the dump

Deprecated content was moved to the bottom to keep (somehow) backwards capability.

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"
 }
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