diff --git a/localizations/zh-Hans (Stable) [vladmandic].json b/localizations/zh-Hans (Stable) [vladmandic].json index 5a5cf61..71c9ec7 100644 --- a/localizations/zh-Hans (Stable) [vladmandic].json +++ b/localizations/zh-Hans (Stable) [vladmandic].json @@ -1778,6 +1778,7 @@ "Enable perspective flip": "启用透视翻转", "Enable pixelization": "启用像素化", "Enable postprocessing operations in txt2img and img2img tabs": "在文生图/图生图选项卡中启用后期处理操作", + "Enable profiling": "启用性能分析器", "Enable quantization in K samplers for sharper and cleaner results": "对 K 采样方法启用量化以获得更清晰、干净的结果", "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds": "对 K-diffusion 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子", "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "对 K 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子。需重启才能应用。", @@ -2484,6 +2485,7 @@ "Include embeddings in normal tag results": "在普通标签结果中包含嵌入式模型 (embeddings)", "Include images in sub directories": "显示子目录中的图片", "Include metadata in saved images": "在保存的图片中嵌入元数据", + "Include python stack": "包含 Python 堆栈", "Include ranks of model tags matches in results.": "反推结果包含模型标签匹配等级", "Include resource hashes in image metadata (for resource auto-detection on Civitai)": "在图像元数据中嵌入资源哈希值 (用于在 Civitai 上自动检测资源)", "Include watermark in saved images": "在保存的图片中嵌入水印", @@ -3235,7 +3237,7 @@ "Mov2Mov output path for video": "Mov2Mov 视频输出路径", "Move": "移动", "Move ControlNet images to CPU (if applicable)": "将 ControlNet 图像移动到 CPU (如果适用)", - "Move ControlNet tensor to CPU (if applicable)": "将 ControlNet tensor 移至CPU (如果适用)", + "Move ControlNet tensor to CPU (if applicable)": "将 ControlNet 张量移至 CPU (如果适用)", "Move File(s)": "移动文件", "Move Mode (X key)": "移动模式(X 键)", "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练超网络时将 VAE 和 CLIP 模型移动到内存,可节省显存", @@ -3806,6 +3808,8 @@ "Process images in a directory on the same machine where the server is running.": "处理服务器主机上某一目录里的图像", "Process type": "处理类型", "Produce an image that can be tiled.": "生成可用于平铺(tiled)的图像", + "Profile memory": "分析内存用量", + "Profiler": "性能分析器", "Progressbar and preview update period": "进度条/预览图更新周期", "Progressbar/preview update period, in milliseconds": "进度条/预览图更新周期 (毫秒)", "Project": "项目", diff --git a/localizations/zh-Hans (Stable).json b/localizations/zh-Hans (Stable).json index 18b0eee..3578361 100644 --- a/localizations/zh-Hans (Stable).json +++ b/localizations/zh-Hans (Stable).json @@ -1778,6 +1778,7 @@ "Enable perspective flip": "启用透视翻转", "Enable pixelization": "启用像素化", "Enable postprocessing operations in txt2img and img2img tabs": "在文生图/图生图选项卡中启用后期处理操作", + "Enable profiling": "启用性能分析器", "Enable quantization in K samplers for sharper and cleaner results": "对 K 采样方法启用量化以获得更清晰、干净的结果", "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds": "对 K-diffusion 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子", "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "对 K 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子。需重启才能应用。", @@ -2484,6 +2485,7 @@ "Include embeddings in normal tag results": "在普通标签结果中包含嵌入式模型 (embeddings)", "Include images in sub directories": "显示子目录中的图片", "Include metadata in saved images": "在保存的图片中嵌入元数据", + "Include python stack": "包含 Python 堆栈", "Include ranks of model tags matches in results.": "反推结果包含模型标签匹配等级", "Include resource hashes in image metadata (for resource auto-detection on Civitai)": "在图像元数据中嵌入资源哈希值 (用于在 Civitai 上自动检测资源)", "Include watermark in saved images": "在保存的图片中嵌入水印", @@ -3235,7 +3237,7 @@ "Mov2Mov output path for video": "Mov2Mov 视频输出路径", "Move": "移动", "Move ControlNet images to CPU (if applicable)": "将 ControlNet 图像移动到 CPU (如果适用)", - "Move ControlNet tensor to CPU (if applicable)": "将 ControlNet tensor 移至CPU (如果适用)", + "Move ControlNet tensor to CPU (if applicable)": "将 ControlNet 张量移至 CPU (如果适用)", "Move File(s)": "移动文件", "Move Mode (X key)": "移动模式(X 键)", "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练超网络时将 VAE 和 CLIP 模型移动到内存,可节省显存", @@ -3806,6 +3808,8 @@ "Process images in a directory on the same machine where the server is running.": "处理服务器主机上某一目录里的图像", "Process type": "处理类型", "Produce an image that can be tiled.": "生成可用于平铺(tiled)的图像", + "Profile memory": "分析内存用量", + "Profiler": "性能分析器", "Progressbar and preview update period": "进度条/预览图更新周期", "Progressbar/preview update period, in milliseconds": "进度条/预览图更新周期 (毫秒)", "Project": "项目", diff --git a/localizations/zh-Hans (Testing) [vladmandic].json b/localizations/zh-Hans (Testing) [vladmandic].json index e2c7558..94ec93f 100644 --- a/localizations/zh-Hans (Testing) [vladmandic].json +++ b/localizations/zh-Hans (Testing) [vladmandic].json @@ -2028,6 +2028,7 @@ "Enable perspective flip": "启用透视翻转", "Enable pixelization": "启用像素化", "Enable postprocessing operations in txt2img and img2img tabs": "在文生图/图生图选项卡中启用后期处理操作", + "Enable profiling": "启用性能分析器", "Enable quantization in K samplers for sharper and cleaner results": "对 K 采样方法启用量化以获得更清晰、干净的结果", "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds": "对 K-diffusion 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子", "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "对 K 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子。需重启才能应用。", @@ -2825,6 +2826,7 @@ "Include images in sub directories": "显示子目录中的图片", "Include meta tags in tag string": "在标签字串中包含属性标签", "Include metadata in saved images": "在保存的图片中嵌入元数据", + "Include python stack": "包含 Python 堆栈", "Include ranks of model tags matches in results.": "反推结果包含模型标签匹配等级", "Include resource hashes in image metadata (for resource auto-detection on Civitai)": "在图像元数据中嵌入资源哈希值 (用于在 Civitai 上自动检测资源)", "Include sub images": "包含子图像", @@ -3635,7 +3637,7 @@ "Mov2Mov output path for video": "Mov2Mov 视频输出路径", "Move": "移动", "Move ControlNet images to CPU (if applicable)": "将 ControlNet 图像移动到 CPU (如果适用)", - "Move ControlNet tensor to CPU (if applicable)": "将 ControlNet tensor 移至CPU (如果适用)", + "Move ControlNet tensor to CPU (if applicable)": "将 ControlNet 张量移至 CPU (如果适用)", "Move File(s)": "移动文件", "Move Mode (X key)": "移动模式(X 键)", "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练超网络时将 VAE 和 CLIP 模型移动到内存,可节省显存", @@ -4268,6 +4270,8 @@ "Process images in a directory on the same machine where the server is running.": "处理服务器主机上某一目录里的图像", "Process type": "处理类型", "Produce an image that can be tiled.": "生成可用于平铺(tiled)的图像", + "Profile memory": "分析内存用量", + "Profiler": "性能分析器", "Progressbar and preview update period": "进度条/预览图更新周期", "Progressbar/preview update period, in milliseconds": "进度条/预览图更新周期 (毫秒)", "Project": "项目", diff --git a/localizations/zh-Hans (Testing).json b/localizations/zh-Hans (Testing).json index f514641..7d80a47 100644 --- a/localizations/zh-Hans (Testing).json +++ b/localizations/zh-Hans (Testing).json @@ -2028,6 +2028,7 @@ "Enable perspective flip": "启用透视翻转", "Enable pixelization": "启用像素化", "Enable postprocessing operations in txt2img and img2img tabs": "在文生图/图生图选项卡中启用后期处理操作", + "Enable profiling": "启用性能分析器", "Enable quantization in K samplers for sharper and cleaner results": "对 K 采样方法启用量化以获得更清晰、干净的结果", "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds": "对 K-diffusion 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子", "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "对 K 采样方法启用量化以获得更清晰、干净的结果。这可能会改变现有的随机种子。需重启才能应用。", @@ -2825,6 +2826,7 @@ "Include images in sub directories": "显示子目录中的图片", "Include meta tags in tag string": "在标签字串中包含属性标签", "Include metadata in saved images": "在保存的图片中嵌入元数据", + "Include python stack": "包含 Python 堆栈", "Include ranks of model tags matches in results.": "反推结果包含模型标签匹配等级", "Include resource hashes in image metadata (for resource auto-detection on Civitai)": "在图像元数据中嵌入资源哈希值 (用于在 Civitai 上自动检测资源)", "Include sub images": "包含子图像", @@ -3635,7 +3637,7 @@ "Mov2Mov output path for video": "Mov2Mov 视频输出路径", "Move": "移动", "Move ControlNet images to CPU (if applicable)": "将 ControlNet 图像移动到 CPU (如果适用)", - "Move ControlNet tensor to CPU (if applicable)": "将 ControlNet tensor 移至CPU (如果适用)", + "Move ControlNet tensor to CPU (if applicable)": "将 ControlNet 张量移至 CPU (如果适用)", "Move File(s)": "移动文件", "Move Mode (X key)": "移动模式(X 键)", "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练超网络时将 VAE 和 CLIP 模型移动到内存,可节省显存", @@ -4268,6 +4270,8 @@ "Process images in a directory on the same machine where the server is running.": "处理服务器主机上某一目录里的图像", "Process type": "处理类型", "Produce an image that can be tiled.": "生成可用于平铺(tiled)的图像", + "Profile memory": "分析内存用量", + "Profiler": "性能分析器", "Progressbar and preview update period": "进度条/预览图更新周期", "Progressbar/preview update period, in milliseconds": "进度条/预览图更新周期 (毫秒)", "Project": "项目",