| { | |
| "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" | |
| } |