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9595783
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Upload zh_CN.json

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  1. zh_CN.json +12 -2
zh_CN.json CHANGED
@@ -1,5 +1,15 @@
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  {
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  "":"",
 
 
 
 
 
 
 
 
 
 
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  "⬇️ Batchlinks Downloader (v3.2.1) ":"⬇️ Batchlinks下载程序(v3.2.1)",
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  "This tool will read the textbox and download every links from top to bottom one by one":"该工具将读取文本框的内容,并从上到下逐个下载每个链接",
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  "Put your links down below. Supported link: Huggingface, CivitAI, MEGA, Discord, Github, Catbox, Google Drive, Pixeldrain, Mediafire, Anonfiles, Dropbox":"输入支持的链接:Huggingface,CivitAI,MEGA,Discord,Github,Catbox,Google Drive,Pixeldrain,Mediafire,Anonfiles,Dropbox",
@@ -174,7 +184,7 @@
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  "AddNet Weight 3": "[可选附加网络] 权重 3",
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  "AddNet Weight 4": "[可选附加网络] 权重 4",
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  "AddNet Weight 5": "[可选附加网络] 权重 5",
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- "Additional Networks": "可选附加网络",
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  "Additional tags (split by comma)": "附加标签(逗号分隔)",
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  "Adds a tab that lets you preview how CLIP model would tokenize your text.": "新增一个选项卡让你能够预览 CLIP 模型如何对你的文本进行词元拆分(tokenize)",
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  "Adds a tab to the webui that allows the user to automatically extract keyframes from video, and manually extract 512x512 crops of those frames for use in model training.": "向 webui 添加一个选项卡,允许用户自动从视频中提取关键帧,并手动裁剪 512x512 大小以用于模型训练",
@@ -1259,7 +1269,7 @@
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  "Tag Autocomplete": "Tag自动填充",
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  "Tag confidents": "标签置信度",
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  "Tag filename": "词库文件",
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- "Tagger": "Tag反推(tagger)",
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  "Tags": "标签(Tags)",
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  "Target ControlNet number": "接收此图像的 ControlNet 编号",
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  "Tertiary model (C)": "模型 C",
 
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  {
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  "":"",
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+ "(1) Face Detection":"(1)人脸检测",
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+ "(2) Crop and Resize the Faces":"(2)裁剪面部并调整大小",
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+ "(3) Recreate the Faces":"(3)重建面部",
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+ "(4) Paste the Faces":"(4)粘贴面部",
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+ "(5) Blend the entire image":"(5)混合整个图像",
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+ "Mask size":"","Mask size":"覆盖尺寸","Advanced Options":"高级选项","Workflow Editor":"工作流程编辑器",
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+ "Affected areas":"作用范围","Face":"脸","Hair":"头发","Hat":"帽子","Neck":"脖子",
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+ "Show intermediate steps":"显示中间步骤","Show original image":"显示原始图像","Save original image":"保存原始图像",
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+ "Use minimal area (for close faces)":"使用最小面积(对于近距离的脸部)","Workflow":"工作流程",
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+ "Face Editor":"FaceEdit面部修复",
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  "⬇️ Batchlinks Downloader (v3.2.1) ":"⬇️ Batchlinks下载程序(v3.2.1)",
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  "This tool will read the textbox and download every links from top to bottom one by one":"该工具将读取文本框的内容,并从上到下逐个下载每个链接",
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  "Put your links down below. Supported link: Huggingface, CivitAI, MEGA, Discord, Github, Catbox, Google Drive, Pixeldrain, Mediafire, Anonfiles, Dropbox":"输入支持的链接:Huggingface,CivitAI,MEGA,Discord,Github,Catbox,Google Drive,Pixeldrain,Mediafire,Anonfiles,Dropbox",
 
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  "AddNet Weight 3": "[可选附加网络] 权重 3",
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  "AddNet Weight 4": "[可选附加网络] 权重 4",
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  "AddNet Weight 5": "[可选附加网络] 权重 5",
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+ "Additional Networks": "可选附加网络[LoRA]",
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  "Additional tags (split by comma)": "附加标签(逗号分隔)",
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  "Adds a tab that lets you preview how CLIP model would tokenize your text.": "新增一个选项卡让你能够预览 CLIP 模型如何对你的文本进行词元拆分(tokenize)",
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  "Adds a tab to the webui that allows the user to automatically extract keyframes from video, and manually extract 512x512 crops of those frames for use in model training.": "向 webui 添加一个选项卡,允许用户自动从视频中提取关键帧,并手动裁剪 512x512 大小以用于模型训练",
 
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  "Tag Autocomplete": "Tag自动填充",
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  "Tag confidents": "标签置信度",
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  "Tag filename": "词库文件",
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+ "Tagger": "Tag反推[tagger]",
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  "Tags": "标签(Tags)",
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  "Target ControlNet number": "接收此图像的 ControlNet 编号",
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  "Tertiary model (C)": "模型 C",