cleanup

AIRI-AUBE · Dec 31, 2022 · 864d366 · 864d366
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diff --git a/localizations/zh_CN.json b/localizations/zh_CN.json
@@ -633,8 +633,6 @@
     "Username": "用户名",
     "Password": "密码",
     "Email": "电子邮箱",
-    "Update": "更新",
-    "Delete": "删除",
     "Mismatched username/password or not existed username": "用户名/密码不匹配或用户不存在",
     "Signup failed, please check and retry again": "注册失败，请检查后并重试",
     "Update failed, please check and retry again": "更新失败，请检查后并重试",
@@ -647,6 +645,115 @@
     "Settings saved failed": "设置保存错误",
     "SageMaker endpoint": "SageMaker 端点",
     "User": "用户",
+    "Model": "模型",
+    "Create new model": "创建新模型",
+    "Import Model from Huggingface Hub": "从 HuggingFace Hub 导入模型",
+    "Model Path": "模型路径",
+    "HuggingFace Token": "HuggingFace Token",
+    "Source Checkpoint": "源检查点",
+    "Extract EMA Weights": "提取 EMA 权重",
+    "Scheduler": "调度器",
+    "Lora Model": "Lora模型",
+    "Custom Model Name": "自定义模型名称",
+    "Lora Weight": "Lora权重",
+    "Lora Text Weight": "Lora文本权重",
+    "Half Model": "半精度模型",
+    "Save Checkpoint to Subdirectory": "保存检查点到子目录",
+    "Optimization for training Person": "为训练人物优化",
+    "Optimization for training Object/Style": "为训练对象/风格优化",
+    "Optimzation for training performance (WIP)": "为训练性能（进行中）优化",
+    "Select existing model": "选择已有的模型",
+    "Loaded Model:": "加载的模型:",
+    "Model Revision:": "模型版本:",
+    "V2 Model:": "V2 模型",
+    "Has EMA:": "有 EMA",
+    "Source Checkpoint:": "源检查点:",
+    "Scheduler:": "调度器:",
+    "Parameters": "参数",
+    "Concepts S3 URI": "Concepts S3 位置",
+    "Intervals": "间隔",
+    "Training Steps Per Image (Epochs) ": "每张图片的训练步数 (Epochs)",
+    "Max Training Steps": "最大训练步数",
+    "Pause After N Epochs": "经过若干步后暂停",
+    "Amount of time to pause between Epochs, in Seconds": "相邻 Epochs 之间暂停的时间",
+    "Use Lifetime Steps/Epochs When Saving": "当保存时使用生命周期步数/ Epoch",
+    "Save Preview/Ckpt Every Epoch": "经过若干个 Epoch 保存预览/检查点",
+    "Save Checkpoint Frequency": "保存检查点频率",
+    "Save Preview(s) Frequency": "保存预览频率",
+    "Batch": "批处理",
+    "Batch Size": "批量大小",
+    "Class Batch Size": "类批量大小",
+    "Learning Rate": "学习率",
+    "Lora unet Learning Rate ": "Lora unet 学习率",
+    "Lora Text Encoder Learning Rate ": "Lora 文本编码器学习率",
+    "Scale Learning Rate": "规模学习率",
+    "Learning Rate Scheduler": "学习率调度器",
+    "Learning Rate Warmup Steps ": "学习率预热步骤",
+    "Image Processing": "图像处理",
+    "Resolution ": "分辨率",
+    "Center Crop": "居中裁剪",
+    "Apply Horizontal Flip": "应用水平翻转",
+    "Miscellaneous": "杂项",
+    "Pretrained VAE Name or Path": "预训练的 VAE 模型名字或路径",
+    "Leave blank to use base model VAE.": "留空以使用基础 VAE 模型",
+    "Use Concepts List": "使用概念列表",
+    "Concepts List": "概念列表",
+    "Path to JSON file with concepts to train.": "指向用于训练的概念定义 JSON 文件的路径",
+    "Advanced": "高级",
+    "Tuning": "调优",
+    "Use CPU Only (SLOW)": "仅使用 CPU (慢)",
+    "Use LORA": "使用 LORA",
+    "Use EMA": "使用 EMA",
+    "Use 8bit Adam": "使用8位 Adam",
+    "Mixed Precision": "混合精度",
+    "Memory Attention": "记忆和注意力",
+    "Don't Cache Latents": "不缓存隐向量",
+    "Train Text Encoder": "训练文本编码器",
+    "Prior Loss Weight": "事先丢弃权重",
+    "Pad Tokens": "填补 Token",
+    "Shuffle Tags": "随机标签",
+    "Max Token Length": "最大 Token 长度",
+    "Train Imagic Only": "仅训练 Imagic",
+    "Gradients": "梯度",
+    "Gradient Checkpointing": "梯度检查点",
+    "Gradient Accumulation Steps": "梯度累计步数",
+    "Adam Advanced": "Adam 高级选项",
+    "Adam Beta 1": "Adam Beta 1 ",
+    "Adam Beta 2": "Adam Beta 2",
+    "Adam Weight Decay": "Adam 权重衰减",
+    "Adam Epsilon": "Adam Epsilon",
+    "Concepts": "概念",
+    "Concept 1": "概念1",
+    "Concept 2": "概念2",
+    "Concept 3": "概念3",
+    "Maximum Training Steps": "最大训练步数",
+    "Directories": "目录",
+    "Dataset Directory": "数据集目录",
+    "Classification Dataset Directory": "分类数据集目录",
+    "(Optional) Path to directory with classification/regularization images": "(可选) 指向带有分类和正则化图像目录的路径",
+    "Filewords": "Filewords",
+    "Instance Token": "实例 Token",
+    "When using [filewords], this is the subject to use when building prompts.": "当使用 [filewords]，这是主题用于构建提示词",
+    "Class Token": "分类 Token",
+    "When using [filewords], this is the class to use when building prompts.": "当使用 [filewords]，这是分类用于构建提示词",
+    "Instance Prompt": "实例提示词",
+    "Optionally use [filewords] to read image captions from files.": "可选使用[filewords]从文件中读取图像标题",
+    "Class Prompt": "分类提示词",
+    "Classification Image Negative Prompt": "分类图像负向提示词",
+    "Sample Image Prompt": "验本图像提示词",
+    "Leave blank to use instance prompt. Optionally use [filewords] to base sample captions on instance images.": "留空以使用实例提示词。可选使用[filewords]在实例图像上基础采样标题",
+    "Sample Prompt Template File": "采样提示词模版文件",
+    "Enter the path to a txt file containing sample prompts.": "输入指向包含采样提示词的文本文件的路径",
+    "Sample Image Negative Prompt": "采样图像负向提示词",
+    "Image Generation": "图像生成",
+    "Total Number of Class/Reg Images": "Class/Reg 图像总数",
+    "Classification CFG Scale ": "分类扩散度",
+    "Classification Steps ": "分类步数",
+    "Number of Samples to Generate": "生成的采样数",
+    "Sample Seed": "采样种子",
+    "Sample CFG Scale ": "采样扩散度",
+    "Sample Steps": "采样步数",
+    "Cancel": "取消",
 
     "--------": "--------"
 }
diff --git a/localizations/zh_TW.json b/localizations/zh_TW.json
@@ -636,6 +636,115 @@
     "Settings saved failed": "設置保存錯誤",
     "SageMaker endpoint": "SageMaker 端點",
     "User": "使用者",
+    "Model": "模型",
+    "Create new model": "創建新模型",
+    "Import Model from Huggingface Hub": "從 HuggingFace Hub 導入模型",
+    "Model Path": "模型路徑",
+    "HuggingFace Token": "HuggingFace Token",
+    "Source Checkpoint": "源檢查點",
+    "Extract EMA Weights": "提取 EMA 權重",
+    "Scheduler": "調度器",
+    "Lora Model": "Lora模型",
+    "Custom Model Name": "自定義模型名稱",
+    "Lora Weight": "Lora權重",
+    "Lora Text Weight": "Lora文本權重",
+    "Half Model": "半精度模型",
+    "Save Checkpoint to Subdirectory": "保存檢查點到子目錄",
+    "Optimization for training Person": "為訓練人物優化",
+    "Optimization for training Object/Style": "為訓練對象/風格優化",
+    "Optimzation for training performance (WIP)": "為訓練性能（進行中）優化",
+    "Select existing model": "選擇已有的模型",
+    "Loaded Model:": "加載的模型:",
+    "Model Revision:": "模型版本:",
+    "V2 Model:": "V2 模型",
+    "Has EMA:": "有 EMA",
+    "Source Checkpoint:": "源檢查點:",
+    "Scheduler:": "調度器:",
+    "Parameters": "參數",
+    "Concepts S3 URI": "Concepts S3 位置",
+    "Intervals": "間隔",
+    "Training Steps Per Image (Epochs) ": "每張圖片的訓練步數 (Epochs)",
+    "Max Training Steps": "最大訓練步數",
+    "Pause After N Epochs": "經過若干步後暫停",
+    "Amount of time to pause between Epochs, in Seconds": "相鄰 Epochs 之間暫停的時間",
+    "Use Lifetime Steps/Epochs When Saving": "當保存時使用生命週期步數/ Epoch",
+    "Save Preview/Ckpt Every Epoch": "經過若干個 Epoch 保存預覽/檢查點",
+    "Save Checkpoint Frequency": "保存檢查點頻率",
+    "Save Preview(s) Frequency": "保存預覽頻率",
+    "Batch": "批處理",
+    "Batch Size": "批量大小",
+    "Class Batch Size": "類批量大小",
+    "Learning Rate": "學習率",
+    "Lora unet Learning Rate ": "Lora unet 學習率",
+    "Lora Text Encoder Learning Rate ": "Lora 文本編碼器學習率",
+    "Scale Learning Rate": "規模學習率",
+    "Learning Rate Scheduler": "學習率調度器",
+    "Learning Rate Warmup Steps ": "學習率預熱步驟",
+    "Image Processing": "圖像處理",
+    "Resolution ": "分辨率",
+    "Center Crop": "居中裁剪",
+    "Apply Horizontal Flip": "應用水平翻轉",
+    "Miscellaneous": "雜項",
+    "Pretrained VAE Name or Path": "預訓練的 VAE 模型名字或路徑",
+    "Leave blank to use base model VAE.": "留空以使用基礎 VAE 模型",
+    "Use Concepts List": "使用概念列表",
+    "Concepts List": "概念列表",
+    "Path to JSON file with concepts to train.": "指向用於訓練的概念定義 JSON 文件的路徑",
+    "Advanced": "高級",
+    "Tuning": "調優",
+    "Use CPU Only (SLOW)": "僅使用 CPU (慢)",
+    "Use LORA": "使用 LORA",
+    "Use EMA": "使用 EMA",
+    "Use 8bit Adam": "使用8位 Adam",
+    "Mixed Precision": "混合精度",
+    "Memory Attention": "記憶和注意力",
+    "Don't Cache Latents": "不緩存隱向量",
+    "Train Text Encoder": "訓練文本編碼器",
+    "Prior Loss Weight": "事先丟棄權重",
+    "Pad Tokens": "填補 Token",
+    "Shuffle Tags": "隨機標籤",
+    "Max Token Length": "最大 Token 長度",
+    "Train Imagic Only": "僅訓練 Imagic",
+    "Gradients": "梯度",
+    "Gradient Checkpointing": "梯度檢查點",
+    "Gradient Accumulation Steps": "梯度累計步數",
+    "Adam Advanced": "Adam 高級選項",
+    "Adam Beta 1": "Adam Beta 1 ",
+    "Adam Beta 2": "Adam Beta 2",
+    "Adam Weight Decay": "Adam 權重衰減",
+    "Adam Epsilon": "Adam Epsilon",
+    "Concepts": "概念",
+    "Concept 1": "概念1",
+    "Concept 2": "概念2",
+    "Concept 3": "概念3",
+    "Maximum Training Steps": "最大訓練步數",
+    "Directories": "目錄",
+    "Dataset Directory": "數據集目錄",
+    "Classification Dataset Directory": "分類數據集目錄",
+    "(Optional) Path to directory with classification/regularization images": "(可選) 指向帶有分類和正則化圖像目錄的路徑",
+    "Filewords": "Filewords",
+    "Instance Token": "實例 Token",
+    "When using [filewords], this is the subject to use when building prompts.": "當使用 [filewords]，這是主題用於構建提示詞",
+    "Class Token": "分類 Token",
+    "When using [filewords], this is the class to use when building prompts.": "當使用 [filewords]，這是分類用於構建提示詞",
+    "Instance Prompt": "實例提示詞",
+    "Optionally use [filewords] to read image captions from files.": "可選使用[filewords]從文件中讀取圖像標題",
+    "Class Prompt": "分類提示詞",
+    "Classification Image Negative Prompt": "分類圖像負向提示詞",
+    "Sample Image Prompt": "驗本圖像提示詞",
+    "Leave blank to use instance prompt. Optionally use [filewords] to base sample captions on instance images.": "留空以使用實例提示詞。可選使用[filewords]在實例圖像上基礎採樣標題",
+    "Sample Prompt Template File": "採樣提示詞模版文件",
+    "Enter the path to a txt file containing sample prompts.": "輸入指向包含採樣提示詞的文本文件的路徑",
+    "Sample Image Negative Prompt": "採樣圖像負向提示詞",
+    "Image Generation": "圖像生成",
+    "Total Number of Class/Reg Images": "Class/Reg 圖像總數",
+    "Classification CFG Scale ": "分類擴散度",
+    "Classification Steps ": "分類步數",
+    "Number of Samples to Generate": "生成的採樣數",
+    "Sample Seed": "採樣種子",
+    "Sample CFG Scale ": "採樣擴散度",
+    "Sample Steps": "採樣步數",
+    "Cancel": "取消",
 
     "--------": "--------"    
 }