update for dreambooth upgrade

localizations/zh_CN.json

@@ -649,7 +649,7 @@
     "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",
+    "Create From Hub": "从 HuggingFace Hub 导入模型",
     "Model Path": "模型路径",
     "HuggingFace Token": "HuggingFace Token",
     "Source Checkpoint": "源检查点",
@@ -688,10 +688,10 @@
     "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",
+    "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",
+    "Learning Rate Warmup Steps": "学习率预热步数",
     "Image Processing": "图像处理",
     "Resolution ": "分辨率",
     "Center Crop": "居中裁剪",
@@ -734,7 +734,7 @@
     "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",
+    "Filewords": "文件字",
     "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",
@@ -801,5 +801,39 @@
     "Only use mid-control when inference": "推理时仅使用 mid-control",
     "Enable CFG-Based guidance": "使用基于扩散度指引",
 
+    "Lora UNET Learning Rate ": "Lora UNET 学习率",
+    "512x Model": "512 模型",
+    "Unfreeze Model": "取消冻结网络",
+    "General": "通用",
+    "Train UNET": "训练 UNET",
+    "Step Ratio of Text Encoder Training": "文本编码器训练步长比",
+    "Freeze CLIP Normalization Layers": "冻结 CLIP 归一化层",
+    "Clip Skip": "剪辑跳过",
+    "AdamW Weight Decay": "AdamW 权重衰减",
+    "Training Steps Per Image (Epochs)": "每张图片的训练步数 (Epochs)",
+    "Amount of time to pause between Epochs": "相邻 Epochs 之间暂停的时间",
+    "Save Model Frequency (Epochs)": "保存模型的频率 (Epchs)",
+    "Save Prview(s) Frequency (Epochs)": "保存于脸图的频率 (Epchs)",
+    "Set Gradients to None When Zeroing": "归零时设置梯度为无",
+    "Prior Loss": "先前损失",
+    "Scale Prior Loss": "缩放先验损失",
+    "Generate Classification Images Using txt2img": "使用文生图来生成类图",
+    "Concept 4": "概念4",
+    "Sanity Sample Prompt": "完整性采样提示词",
+    "Sanity Sample Seed ": "完整性采样种子",
+    "Sample Negative Prompt": "采样负向提示词",
+    "Class Images Per Instance Image": "为实例图片生成分类图片数",
+    "Saving":"保存",
+    "Save in .safetensors format": "保存为 .safetensorts 格式",
+    "Checkpoints": "检查点",
+    "Generate a .ckpt file when saving during training.": "在训练时保存为 .ckpt 格式",
+    "Generate a .ckpt file when training completes.": "在训练结束时保存为 .ckpt 格式",
+    "Generate a .ckpt file when training is canceled.": "在训练取消时保存为 .ckpt 格式",
+    "Diffusion Weights": "扩散权重",
+    "Save separate diffusers snapshots when saving during training.": "在训练时保存为单独的 diffusers 快照",
+    "Save separate diffusers snapshots when training completes.": "在训练完成时保存为单独的 diffusers 快照",
+    "Save separate diffusers snapshots when training is canceled.": "在训练取消时保存为单独的 diffusers 快照",
+    "Basic": "基本",
+
     "--------": "--------"
 }

localizations/zh_TW.json

@@ -644,7 +644,7 @@
     "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",
+    "Create From Hub": "從 HuggingFace Hub 導入模型",
     "Model Path": "模型路徑",
     "HuggingFace Token": "HuggingFace Token",
     "Source Checkpoint": "源檢查點",
@@ -667,9 +667,9 @@
     "Source Checkpoint:": "源檢查點:",
     "Scheduler:": "調度器:",
     "Parameters": "參數",
-    "Concepts S3 URI": "Concepts S3 位置",
+    "Concepts S3 URI": "概念 S3 位置",
     "Intervals": "間隔",
-    "Training Steps Per Image (Epochs) ": "每張圖片的訓練步數 (Epochs)",
+    "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",