aboutsummaryrefslogtreecommitdiff
path: root/localizations
diff options
context:
space:
mode:
Diffstat (limited to 'localizations')
-rw-r--r--localizations/zh_CN.json69
1 files changed, 35 insertions, 34 deletions
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