diff --git a/i18n/i18n.json b/i18n/i18n.json
index a2a7a94..832a18f 100644
--- a/i18n/i18n.json
+++ b/i18n/i18n.json
@@ -32,8 +32,8 @@
   "Click to Upload": "点击上传",
   "Textual Inversion": "文本反转",
   "Hypernetworks": "超网络",
-  "Checkpoints": "Checkpoints",
-  "Lora": "Lora",
+  "Checkpoints": "ckpt模型",
+  "Lora": "Lora模型",
   "Refresh": "刷新",
   "Close": "关闭",
   "replace preview": "用当前生成图片替换预览",
@@ -486,7 +486,7 @@
   "Always print all generation info to standard output": "始终将所有生成信息输出到 standard output (一般为控制台)",
   "Add a second progress bar to the console that shows progress for an entire job.": "向控制台添加第二个进度条，显示整个作业的进度",
   "Print extra hypernetwork information to console.": "将额外的超网络信息输出到控制台",
-  "Move VAE and CLIP to RAM when training if possible. Saves VRAM.": "训练时将 VAE 和 CLIP 从显存移放到内存如果可行的话，节省显存",
+  "Move VAE and CLIP to RAM when training if possible. Saves VRAM.": "如果可行，在训练时将 VAE 和 CLIP 移至到内存，从而节省显存占用",
   "Turn on pin_memory for DataLoader. Makes training slightly faster but can increase memory usage.": "打开DataLoader的pin_memory选项，可以略微加速训练，但会增加内存占用",
   "Saves Optimizer state as separate *.optim file. Training of embedding or HN can be resumed with the matching optim file.": "将Optimizer状态保存为单独的*.optim文件。embedding或HN的训练可以使用匹配的optim文件恢复",
   "Save textual inversion and hypernet settings to a text file whenever training starts.": "训练开始时将文本反转和超网络设置保存到一个文本文件中",
@@ -638,8 +638,8 @@
   "python:": "python:",
   "N/A": "N/A",
   "Change checkpoint": "Change checkpoint",
-  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "提示词（按 Ctrl+Enter 或 Alt+Enter 生成）\nPrompt",
-  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "反向提示词（按 Ctrl+Enter 或 Alt+Enter 生成）\nNegative prompt",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "提示词（按 Ctrl+Enter 或 Alt+Enter 生成）",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "反向提示词（按 Ctrl+Enter 或 Alt+Enter 生成）",
   "Stop processing images and return any results accumulated so far.": "停止处理图像，并返回迄今为止累积的任何结果",
   "Stop processing current image and continue processing.": "停止处理当前图像，并继续处理下一个",
   "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "从提示词中自动提取生成参数，若当前提示词为空则从上次的生成信息中读取（允许将包含正面、负面、采样器、步数、模型等信息的整段生成信息全部粘贴到提示词区域，点击后可自动将对应信息填入并删除多余内容）",
@@ -801,8 +801,8 @@
   "Use PNG alpha channel as loss weight": "使用PNG alpha通道作为损失权重",
   "Model path filter": "模型路径过滤",
   "Network module": "附加网络模式",
-  "Model hash": "模型哈希值",
-  "Legacy hash": "旧哈希值",
+  "Model hash": "模型哈希",
+  "Legacy hash": "旧哈希",
   "Model path": "模型路径",
   "Send to txt2img:": "发送模型到文生图",
   "1️⃣": "1️⃣",
@@ -843,7 +843,7 @@
   "File size limit for the above option, MB": "上述选项的文件大小限制，单位：MB",
   "Width/height limit for the above option, in pixels": "上述选项的宽、高限制，单位：像素",
   "Do not make DPM++ SDE deterministic across different batch sizes.": "保留 DPM++SDE采样器 在不同的批量之间的结果差异(可以保持旧种子的复现性但改变批量时结果会发生变化)",
-  "Extra paths to scan for LoRA models, comma-separated. Paths containing commas must be enclosed in double quotes. In the path, \" (one quote) must be replaced by \"\" (two quotes).": "扫描 LoRA 模型的附加目录，以逗号分隔。包含逗号的路径必须用双引号括起来。 在路径中，\"（一个引号）必须替换为\"\"（两个引号）。",
+  "Extra paths to scan for LoRA models, comma-separated. Paths containing commas must be enclosed in double quotes. In the path, \" (one quote) must be replaced by \"\" (two quotes).": "扫描 LoRA 模型的附加目录，以逗号分隔。包含逗号的路径必须用双引号括起来。 在路径中，\"（一个引号）必须替换为\"\"（两个引号）",
   "Sort LoRA models by": "LoRA 模型的排序方式",
   "name": "名称",
   "date": "日期",
@@ -1283,7 +1283,7 @@
   "Upscale latent space image when doing hires. fix": "做高清修复时，也放大潜变量",
   "Shuffleing tags by ',' when create texts.": "创建文本时打乱以 ',' 分割的 tags",
   "Dropout tags when create texts": "创建文本时随机丢弃一些 tags",
-  "Saves Optimizer state as separate *.optim file. Training can be resumed with HN itself and matching optim file.": "将优化器状态保存为单独的 *.optim 文件。可以使用超网络(HN)本身和匹配的 optim 文件继续中断了的训练。",
+  "Saves Optimizer state as separate *.optim file. Training can be resumed with HN itself and matching optim file.": "将优化器状态保存为单独的 *.optim 文件。可以使用超网络(HN)本身和匹配的 optim 文件继续中断了的训练",
   "auto": "自动",
   "Hypernetwork strength": "超网络 强度",
   "Filter NSFW content": "过滤成人内容(NSFW)（不建议开启）",
@@ -1382,7 +1382,7 @@
   "(Optional) Path to directory with classification/regularization images": "（可选）带有分类/规范化图像的目录路径",
   "Total number of training steps to perform. If provided, overrides num_train_epochs.": "要执行的训练迭代步数总数。如果填了，则覆盖 '训练多少期(num_train_epochs)'",
   "Total number of classification/regularization images to use. If no images exist, they will be generated. Set to 0 to disable prior preservation.": "要使用的分类/规范化图像总数。如果没有图像，就生成一些。设置为 0 以禁用先验存留(prior preservation)",
-  "A negative prompt to use when generating class images. Can be empty.": "生成类图像时使用的否定提示。 可以为空。",
+  "A negative prompt to use when generating class images. Can be empty.": "生成类图像时使用的否定提示。 可以为空",
   "The Classifier-Free Guidance Scale to use for classifier/regularization images.": "用于分类/规范化图像的提示词相关性(CFG Scale - 无分类器指导信息影响尺度(Classifier-Free Guidance Scale))",
   "The number of steps to use when generating classifier/regularization images.": "生成分类/规范化图像时使用的步数",
   "The resolution of input images. You probably want to pre-process them to match this.": "输入图像的分辨率。你可能希望对它们进行预处理以匹配它",
@@ -1403,7 +1403,7 @@
   "Number of sampling steps to use when generating preview images.": "生成预览图像时要使用的采样迭代步数",
   "Attempt to automatically set training parameters based on total VRAM. Still under development.": "尝试根据总显存自动设置训练参数。仍在开发中",
   "How many images to process at once per training step?": "每步训练要处理多少张图像？",
-  "How many classifier/regularization images to generate at once.": "一次生成多少分类/规范化图像。",
+  "How many classifier/regularization images to generate at once.": "一次生成多少分类/规范化图像",
   "Guess what - this will be incredibly slow, but it will work for < 8GB GPUs.": "你猜怎么着 - 这将非常地慢我的老伙计，但它适用于 < 8GB 显存的 GPU",
   "Don't checkpoint the gradients, Duh. Set to False to slightly increase speed at the cost of a bit of VRAM.": "保存权重进度时不要保存梯度，啊不废话。设置为 False 以消耗一点显存为代价略微提高速度",
   "You probably want this to be 'fp16'.": "如果你想要设置为半精度(fp16)的话",
@@ -2037,7 +2037,7 @@
   "Model list": "模型列表",
   "Model list will be output here": "模型列表将会在此处输出",
   "Motion parameters:": "运动参数：",
-  "NOTE: If the 'Generate' button doesn't work, go in Settings and click 'Restart Gradio and Refresh...'.": "注意：如果“生成”按钮不起作用，请进入“设置”并单击“重启 Gradio 及刷新...”。",
+  "NOTE: If the 'Generate' button doesn't work, go in Settings and click 'Restart Gradio and Refresh...'.": "注意：如果“生成”按钮不起作用，请进入“设置”并单击“重启 Gradio 及刷新...”",
   "Network module (used throughout this tab)": "附加网络类型(仅此页面使用)",
   "New preset name ": "新预设的名称",
   "No interpolation will be used. Requires one model; A. Allows for format conversion and VAE baking.": "不添加差值，仅填入模型A即可，主要用于压缩、格式转换及整合VAE(生成自带VAE颜色校正的模型)",