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{
"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"
} |