diff --git a/localizations/zh_CN.json b/localizations/zh_CN.json
index 94ebe1b67..6ca50fbdc 100644
--- a/localizations/zh_CN.json
+++ b/localizations/zh_CN.json
@@ -146,8 +146,8 @@
     "latent nothing": "潜空间数值零",
     "Inpaint at full resolution": "全分辨率局部重绘",
     "Inpaint at full resolution padding, pixels": "填补像素",
-    "Process images in a directory on the same machine where the server is running.": "使用服务器主机上的一个目录，作为输入目录处理图像。",
-    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "使用一个空的文件夹作为输出目录，而不是使用默认的 output 文件夹作为输出目录。",
+    "Process images in a directory on the same machine where the server is running.": "使用服务器主机上的一个目录，作为输入目录处理图像",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "使用一个空的文件夹作为输出目录，而不是使用默认的 output 文件夹作为输出目录",
     "Input directory": "输入目录",
     "Resize mode": "缩放模式",
     "Just resize": "拉伸",
@@ -502,7 +502,7 @@
     "keep whatever was there originally": "保留原来的图像，不进行预处理",
     "fill it with latent space noise": "用潜空间的噪声填充它",
     "fill it with latent space zeroes": "用潜空间的零填充它",
-    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "将蒙版区域放大到目标分辨率，做局部重绘，缩小后粘贴到原始图像中。\n请注意，填补像素 仅对 全分辨率局部重绘 生效。",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "将蒙版区域放大到目标分辨率，做局部重绘，缩小后粘贴到原始图像中。\n请注意，填补像素 仅对 全分辨率局部重绘 生效",
     "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "将图像大小调整为目标分辨率。除非高度和宽度匹配，否则你将获得不正确的纵横比",
     "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "调整图像大小，使整个目标分辨率都被图像填充。裁剪多出来的部分",
     "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。用图像的颜色填充空白区域",
@@ -523,8 +523,8 @@
     "Restore low quality faces using GFPGAN neural network": "使用 GFPGAN 神经网络修复低质量面部",
     "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "此正则表达式将用于从文件名中提取单词，并将使用以下选项将它们接合到用于训练的标签文本中。留空以保持文件名文本不变",
     "This string will be used to join split words into a single line if the option above is enabled.": "如果启用了上述选项，则此处的字符会用于将拆分的单词接合为同一行",
-    "Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.": "仅适用于局部重绘专用的模型（模型后缀为 inpainting.ckpt 的模型）。 决定了蒙版在局部重绘以及图生图中屏蔽原图内容的强度。 1.0 表示完全屏蔽原图，这是默认行为。 0.0 表示完全不屏蔽让原图进行图像调节。 较低的值将有助于保持原图的整体构图，但很难遇到较大的变化。",
-    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "设置名称列表，以逗号分隔，设置应转到顶部的快速访问栏，而不是通常的设置选项卡。有关设置名称，请参见 modules/shared.py。需要重新启动才能应用",
+    "Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.": "仅适用于局部重绘专用的模型（模型后缀为 inpainting.ckpt 的模型）。决定了蒙版在局部重绘以及图生图中屏蔽原图内容的强度。 1.0 表示完全屏蔽原图，这是默认行为。0.0 表示完全不屏蔽让原图进行图像调节。较低的值将有助于保持原图的整体构图，但很难遇到较大的变化",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "设置项名称的列表，以逗号分隔，该设置会移动到顶部的快速访问栏，而不是默认的设置选项卡。有关设置名称，请参见 modules/shared.py。需要重新启动才能应用",
     "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "如果这个值不为零，它将被添加到随机种子中，并在使用带有 Eta 的采样器时用于初始化随机噪声。你可以使用它来产生更多的图像变化，或者你可以使用它来模仿其他软件生成的图像，如果你知道你在做什么",
     "Leave empty for auto": "留空时自动生成",
     "Autocomplete options": "自动补全选项",
@@ -573,19 +573,19 @@
     "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)",
     "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "迭代改进生成的图像多少次；更高的值需要更长的时间；非常低的值会产生不好的结果",
     "Draw a mask over an image, and the script will regenerate the masked area with content according to prompt": "在图像上画一个蒙版，脚本会根据提示重新生成蒙版区域的内容",
-    "Upscale image normally, split result into tiles, improve each tile using img2img, merge whole image back": "正常提升图像，将结果分割成瓦片，用img2img改进每个瓦片，将整个图像合并回来",
+    "Upscale image normally, split result into tiles, improve each tile using img2img, merge whole image back": "正常放大图像，将结果分割成图块（tiles），用图生图改进每个图块（tiles），最后将整个图像合并回来",
     "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "创建一个网格，图像将有不同的参数。使用下面的输入来指定哪些参数将由列和行共享",
-    "Run Python code. Advanced user only. Must run program with --allow-code for this to work": "运行Python代码。仅限高级用户。必须用 --allow-code 来运行程序，这样才能工作。",
-    "Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others": "用逗号隔开一个单词列表，第一个单词将被用作关键词：脚本将在提示中搜索这个单词，并用其他单词替换它。",
-    "Separate a list of words with commas, and the script will make a variation of prompt with those words for their every possible order": "用逗号分开一个单词列表，脚本将用这些单词的每一个可能的顺序制作一个变体的提示。",
-    "Reconstruct prompt from existing image and put it into the prompt field.": "从现有的图像中重构提示，并将其放入提示字段。",
-    "Set the maximum number of words to be used in the [prompt_words] option; ATTENTION: If the words are too long, they may exceed the maximum length of the file path that the system can handle": "在[prompt_words]选项中设置要使用的最大字数；注意：如果字数太长，可能会超过系统可处理的文件路径的最大长度",
-    "Process an image, use it as an input, repeat.": "处理一张图片，将其作为输入，重复。",
-    "Insert selected styles into prompt fields": "在提示字段中插入选定的样式",
-    "Save current prompts as a style. If you add the token {prompt} to the text, the style use that as placeholder for your prompt when you use the style in the future.": "将当前的提示语保存为样式。如果你在文本中添加标记{prompt}，当你将来使用该样式时，该样式会将其作为你的提示的占位符。",
-    "Loads weights from checkpoint before making images. You can either use hash or a part of filename (as seen in settings) for checkpoint name. Recommended to use with Y axis for less switching.": "在制作图像之前从检查点加载权重。你可以使用哈希值或文件名的一部分（如设置中所示）作为检查点名称。建议与Y轴一起使用以减少切换。",
-    "Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).": "Torch active: 在生成过程中，Torch使用的显存(VRAM)峰值，不包括缓存的数据。\nTorch reserved: Torch分配的显存(VRAM)的峰值量，包括所有活动和缓存数据。\nSys VRAM: 所有应用程序的显存(VRAM)分配的峰值量 / GPU的总显存(VRAM)（峰值利用率%）。",
-    "Uscale the image in latent space. Alternative is to produce the full image from latent representation, upscale that, and then move it back to latent space.": "缩放潜在空间中的图像。另一种方法是，从潜在表示中产生完整的图像，提高其比例，然后再将其移回潜在空间。",
+    "Run Python code. Advanced user only. Must run program with --allow-code for this to work": "运行 Python 代码。仅限老手使用。必须以 --allow-code 来开启程序，才能使其运行",
+    "Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others": "以逗号分割的单词列表，第一个单词将被用作关键词：脚本将在提示词中搜索这个单词，并用其他单词替换它",
+    "Separate a list of words with commas, and the script will make a variation of prompt with those words for their every possible order": "以逗号分割的单词列表，脚本会排列出这些单词的所有排列方式，并加入提示词各生成一次",
+    "Reconstruct prompt from existing image and put it into the prompt field.": "从现有的图像中重构出提示词，并将其放入提示词的输入文本框",
+    "Set the maximum number of words to be used in the [prompt_words] option; ATTENTION: If the words are too long, they may exceed the maximum length of the file path that the system can handle": "设置在[prompt_words]选项中要使用的最大字数；注意：如果字数太长，可能会超过系统可处理的文件路径的最大长度",
+    "Process an image, use it as an input, repeat.": "处理一张图像，将其作为输入，并重复",
+    "Insert selected styles into prompt fields": "在提示词中插入选定的模版风格",
+    "Save current prompts as a style. If you add the token {prompt} to the text, the style use that as placeholder for your prompt when you use the style in the future.": "将当前的提示词保存为模版风格。如果你在文本中添加{prompt}标记，那么将来你使用该模版风格时，你现有的提示词会替换模版风格中的{prompt}",
+    "Loads weights from checkpoint before making images. You can either use hash or a part of filename (as seen in settings) for checkpoint name. Recommended to use with Y axis for less switching.": "在生成图像之前从模型(ckpt)中加载权重。你可以使用哈希值或文件名的一部分（如设置中所示）作为模型(ckpt)名称。建议用在Y轴上以减少过程中模型的切换",
+    "Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).": "Torch active: 在生成过程中，Torch使用的显存(VRAM)峰值，不包括缓存的数据。\nTorch reserved: Torch 分配的显存(VRAM)的峰值量，包括所有活动和缓存数据。\nSys VRAM: 所有应用程序分配的显存(VRAM)的峰值量 / GPU 的总显存(VRAM)（峰值利用率%）",
+    "Uscale the image in latent space. Alternative is to produce the full image from latent representation, upscale that, and then move it back to latent space.": "放大潜空间中的图像。而另一种方法是，从潜变量表达中直接解码并生成完整的图像，接着放大它，然后再将其编码回潜空间",
 
     "----": "----"
 }