{
  "Loading...": "载入中...",
  "Use via API": "通过API使用",
  "Built with Gradio": "使用Gradio构建",
  "Dreambooth":"梦想阁",
  "Training": "训练",
  "Train a custom model using kohya dreambooth python code…": "使用kohya dreamboot python代码 训练个性化模型",
  "Configuration file": "配置文件",
  "Open": "打开",
  "Save": "保存",
  "Load": "加载",
  "Source model": "模型来源",
  "Model Quick Pick": "快速选择模型",
  "Save trained model as": "保存训练模型为",
  "Folders": "文件夹",
  "Start training": "开始训练",
  "Stop training": "停止训练",
  "Print training command": "打印训练命令",
  "Start tensorboard": "开始 tensorboard",
  "Stop tensorboard": "结束 tensorboard",
  "Image folder": "图片文件夹",
  "Regularisation folder": "正则化文件夹",
  "Output folder": "输出文件夹",
  "Logging folder": "日志文件夹",
  "Model output name": "模型输出文件夹",
  "Training comment": "训练注释",
  "(Optional) Add training comment to be included in metadata": "(可选)增加训练注释到元数据",
  "Parameters": "参数",
  "Basic": "基础",
  "Train batch size": "训练批次大小",
  "Epoch": "数量增加",
  "Max train epoch": "每批数量",
  "(Optional) Enforce number of epoch": "(可选)强制每批数量",
  "Advanced": "增强",
  "Samples": "样例",
  "Tools": "工具",
  "This section provide Dreambooth tools to help setup your dataset…": "这些选择帮助设置自己的数据集",
  "Dreambooth/LoRA Folder preparation": "Dreambooth/LoRA文件准备",
  "This utility will create the necessary folder structure for the training images and optional regularization images needed for the kohys_ss Dreambooth/LoRA method to function correctly.": "为训练文件创建文件夹",
  "Instance prompt": "实例提示",
  "Class prompt": "类提示",
  "Training images": "训练图片",
  "Directory containing the training images": "直接包含训练图片",
  "Repeats": "重复",
  "Regularisation images": "正则化图像",
  "Destination training directory": "训练结果目录",
  "Directory where formatted training and regularisation folders will be placed": "训练和正则化文件会被取代",
  "Prepare training data": "准备训练数据",
  "Copy info to Folders Tab": "复制信息到文件夹",
  "Train a custom model using kohya train network LoRA python code…": "使用kohya训练网络LoRA训练个性化模型"
}