Update zh_CN.json

- re-order some element
- update new content

1 files changed, 11 insertions, 4 deletions

diff --git a/localizations/zh_CN.json b/localizations/zh_CN.json
index 7f8f4ba3..30373160 100644
--- a/localizations/zh_CN.json
+++ b/localizations/zh_CN.json
@@ -90,6 +90,7 @@
     "Output directory": "输出目录",
     "Put variable parts at start of prompt": "把变量部分放在提示词文本的开头",
     "Iterate seed every line": "每行输入都换一个种子",
+    "Use same random seed for all lines": "每行输入都使用同一个随机种子",
     "List of prompt inputs": "提示词输入列表",
     "Upload prompt inputs": "上传提示词输入文件",
     "X type": "X轴类型",
@@ -320,6 +321,7 @@
     "keyword": "搜索",
     "Generate Info": "生成信息",
     "File Name": "文件名",
+    "Move to favorites": "移动到收藏夹(保存)",
     "Renew Page": "刷新页面",
     "Number": "数量",
     "set_index": "设置索引",
@@ -341,6 +343,8 @@
     "Save text information about generation parameters as chunks to png files": "将有关生成参数的文本信息，作为块保存到 png 图片文件中",
     "Create a text file next to every image with generation parameters.": "保存图像时，在每个图像旁边创建一个文本文件储存生成参数",
     "Save a copy of image before doing face restoration.": "在进行面部修复之前保存图像副本",
+    "Save a copy of image before applying highres fix.": "在做高分辨率修复之前保存初始图像副本",
+    "Save a copy of image before applying color correction to img2img results": "在对图生图结果应用颜色校正之前保存图像副本",
     "Quality for saved jpeg images": "保存的 jpeg 图像的质量",
     "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "如果 PNG 图像大于 4MB 或宽高大于 4000，则缩小并保存副本为 JPG 图片",
     "Use original name for output filename during batch process in extras tab": "在更多选项卡中的批量处理过程中，使用原始名称作为输出文件名",
@@ -377,17 +381,19 @@
     "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",
     "Training": "训练",
-    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练时将 VAE 和 CLIP 从显存(VRAM)移放到内存(RAM)，节省显存(VRAM)",
+    "Move VAE and CLIP to RAM when training if possible. Saves VRAM.": "训练时将 VAE 和 CLIP 从显存(VRAM)移放到内存(RAM)如果可行的话，节省显存(VRAM)",
     "Filename word regex": "文件名用词的正则表达式",
     "Filename join string": "文件名连接用字符串",
     "Number of repeats for a single input image per epoch; used only for displaying epoch number": "每个 epoch 中单个输入图像的重复次数； 仅用于显示 epoch 数",
     "Save an csv containing the loss to log directory every N steps, 0 to disable": "每 N 步保存一个包含 loss 的 csv 表格到日志目录，0 表示禁用",
+    "Use cross attention optimizations while training": "训练时开启 cross attention 优化",
     "Stable Diffusion": "Stable Diffusion",
     "Checkpoints to cache in RAM": "缓存在内存(RAM)中的模型(ckpt)",
+    "SD VAE": "模型的 VAE (SD VAE)",
+    "auto": "自动",
     "Hypernetwork strength": "Hypernetwork 强度",
     "Inpainting conditioning mask strength": "局部重绘的自适应蒙版强度",
     "Apply color correction to img2img results to match original colors.": "对图生图结果应用颜色校正以匹配原始颜色",
-    "Save a copy of image before applying color correction to img2img results": "在对图生图结果应用颜色校正之前保存图像副本",
     "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图生图的时候，确切地执行滑块指定的迭代步数（正常情况下更弱的重绘幅度需要更少的迭代步数）",
     "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 采样器中启用量化以获得更清晰、更清晰的结果。这可能会改变现有的随机种子。需要重新启动才能应用",
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "强调符：使用 (文字) 使模型更关注该文本，使用 [文字] 使其减少关注",
@@ -560,8 +566,9 @@
     "Select which Real-ESRGAN models to show in the web UI. (Requires restart)": "选择哪些 Real-ESRGAN 模型显示在网页用户界面。(需要重新启动)",
     "Face restoration model": "面部修复模型",
     "Allowed categories for random artists selection when using the Roll button": "使用抽选艺术家按钮时将会随机的艺术家类别",
-    "Move to favorites": "移动到收藏夹(保存)",
     "favorites": "收藏夹(已保存)",
     "others": "其他",
-    "Collect": "收藏(保存)"
+    "Collect": "收藏(保存)",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练时将 VAE 和 CLIP 从显存(VRAM)移放到内存(RAM)，节省显存(VRAM)",
+    
 }