{"id":13616,"date":"2022-11-27T12:40:55","date_gmt":"2022-11-27T04:40:55","guid":{"rendered":"https:\/\/mnya.tw\/cc\/?p=13616"},"modified":"2023-02-12T01:51:34","modified_gmt":"2023-02-11T17:51:34","slug":"1901","status":"publish","type":"post","link":"https:\/\/mnya.tw\/cc\/word\/1901.html","title":{"rendered":"Stable Diffusion web UI \u6b63\u9ad4\u4e2d\u6587\uff08\u7e41\u9ad4\u4e2d\u6587\uff09\u8a9e\u8a00\u5305 zh_TW.json"},"content":{"rendered":"<p>Stable Diffusion web UI \u5728<a href=\"https:\/\/github.com\/AUTOMATIC1111\/stable-diffusion-webui-old-localizations\" target=\"_blank\" rel=\"noopener\">\u4e00\u6b21\u7684\u66f4\u65b0\u4e2d<\/a>\u79fb\u9664\u9810\u8a2d\u7684\u8a9e\u8a00\u5305\uff0c\u539f\u56e0\u662f\u4f3c\u4e4e\u7f3a\u4e4f\u5f8c\u7e8c\u7dad\u8b77\uff0c\u9019\u7576\u4e2d\u4e5f\u5305\u542b\u4e86\u6b63\u9ad4\u4e2d\u6587\uff08\u7e41\u9ad4\u4e2d\u6587\uff09\u8a9e\u8a00\u5305 zh_TW.json\uff0c\u56e0\u6b64\u4f7f\u7528\u8005\u9700\u8981\u5f9e\u7db2\u8def\u4e0a\u53e6\u5c0b\u8cc7\u6e90\u4e26\u4e0b\u8f09\uff0c\u653e\u5165\u8edf\u9ad4\u6839\u76ee\u9304\u4e0b\u7684 localizations \u76ee\u9304\u4e2d\u3002\u672c\u6587\u63d0\u4f9b\u7c21\u6613\u6559\u5b78\u53ca\u7ad9\u9577\u5728\u6700\u5f8c\u4e00\u6b21 pull \u8edf\u9ad4\u6642\u62ff\u5230\u7684\u8a9e\u8a00\u5305\u5168\u6587\u4f9b\u5927\u5bb6\u904b\u7528\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/mnya.tw\/cc\/wp-content\/uploads\/2022\/1901-1.jpg\" width=\"1024\" height=\"768\" \/><br \/>\n\u25b2 \u5c07\u672c\u6587\u6587\u672b\u63d0\u4f9b\u7684\u8a9e\u8a00\u5305\u6587\u5b57\u5b58\u6210 zh_TW.json \u4e26\u653e\u5165\u8edf\u9ad4\u6839\u76ee\u9304\u4e0b\u7684 localizations \u76ee\u9304\u4e2d\u3002<br \/>\n<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/mnya.tw\/cc\/wp-content\/uploads\/2022\/1901-2.jpg\" width=\"1024\" height=\"768\" \/><br \/>\n\u25b2 \u5728\u300c\u8a2d\u5b9a\u300d\u4e2d\u53ef\u4ee5\u627e\u5230\u300c\u672c\u5730\u5316\u7ffb\u8b6f\u300d\uff0c\u5728\u9019\u908a\u9078\u53d6\u300czh_TW\u300d\u4e26\u91cd\u65b0\u555f\u52d5\u8edf\u9ad4\uff0c\u4e2d\u6587\u5316\u5373\u53ef\u751f\u6548\uff01<\/p>\n<h1><span style=\"color: #000080;\">zh_TW.json \u8a9e\u8a00\u5305\u5168\u6587\u63d0\u4f9b<\/span><\/h1>\n<p>\u203b \u4f86\u81ea\u6700\u5f8c\u4e00\u6b21\u7684 pull \u66f4\u65b0\u3002<\/p><div class=\"3a456c955cc9861673f62d33beb7714e\" data-index=\"2\" style=\"float: none; margin:0px;\">\n<script async src=\"https:\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js?client=ca-pub-2683739050533486\"\r\n     crossorigin=\"anonymous\"><\/script>\r\n<ins class=\"adsbygoogle\"\r\n     style=\"display:block; text-align:center;\"\r\n     data-ad-layout=\"in-article\"\r\n     data-ad-format=\"fluid\"\r\n     data-ad-client=\"ca-pub-2683739050533486\"\r\n     data-ad-slot=\"3270345536\"><\/ins>\r\n<script>\r\n     (adsbygoogle = window.adsbygoogle || []).push({});\r\n<\/script>\n<\/div>\n\n<pre class=\"line-numbers\"><code class=\"language-json\">{\r\n    \"\u2921\": \"\u2921\",\r\n    \"\u229e\": \"\u229e\",\r\n    \"\u00d7\": \"\u00d7\",\r\n    \"\u276e\": \"\u276e\",\r\n    \"\u276f\": \"\u276f\",\r\n    \"Loading...\": \"\u8f09\u5165\u4e2d\u2026\",\r\n    \"view\": \"\u6aa2\u8996\",\r\n    \"api\": \"api\",\r\n    \"\u2022\": \" \u2022 \",\r\n    \"built with gradio\": \"\u57fa\u65bc Gradio \u69cb\u5efa\",\r\n    \"Stable Diffusion checkpoint\": \"Stable Diffusion \u6a21\u578b\u6b0a\u91cd\u5b58\u6a94\u9ede\",\r\n    \"txt2img\": \"\u6587\u751f\u5716\",\r\n    \"img2img\": \"\u5716\u751f\u5716\",\r\n    \"Extras\": \"\u66f4\u591a\",\r\n    \"PNG Info\": \"\u5716\u7247\u8cc7\u8a0a\",\r\n    \"Checkpoint Merger\": \"\u6a21\u578b\u6b0a\u91cd\u5b58\u6a94\u9ede\u5408\u4f75\",\r\n    \"Train\": \"\u8a13\u7df4\",\r\n    \"Create aesthetic embedding\": \"\u751f\u6210\u7f8e\u8853\u98a8\u683c\",\r\n    \"Image Browser\": \"\u5716\u5eab\u700f\u89bd\u5668\",\r\n    \"History\": \"\u6b77\u53f2\u8a18\u9304\",\r\n    \"Settings\": \"\u8a2d\u5b9a\",\r\n    \"Extensions\": \"\u64f4\u5145\",\r\n    \"Prompt\": \"\u63d0\u793a\u8a5e\",\r\n    \"Negative prompt\": \"\u53cd\u5411\u63d0\u793a\u8a5e\",\r\n    \"Run\": \"\u57f7\u884c\",\r\n    \"Skip\": \"\u8df3\u904e\",\r\n    \"Interrupt\": \"\u4e2d\u6b62\",\r\n    \"Generate\": \"\u751f\u6210\",\r\n    \"Style 1\": \"\u6a21\u7248\u98a8\u683c 1\",\r\n    \"Style 2\": \"\u6a21\u7248\u98a8\u683c 2\",\r\n    \"Label\": \"\u6a19\u8a18\",\r\n    \"File\": \"\u6a94\u6848\",\r\n    \"Drop File Here\": \"\u62d6\u66f3\u6a94\u6848\u5230\u6b64\",\r\n    \"-\": \"-\",\r\n    \"or\": \"\u6216\",\r\n    \"Click to Upload\": \"\u9ede\u64ca\u4e0a\u50b3\",\r\n    \"Image\": \"\u5716\u50cf\",\r\n    \"Check progress\": \"\u6aa2\u8996\u9032\u5ea6\",\r\n    \"Check progress (first)\": \"\uff08\u9996\u6b21\uff09\u6aa2\u8996\u9032\u5ea6\",\r\n    \"Sampling Steps\": \"\u63a1\u6a23\u758a\u4ee3\u6b65\u6578\",\r\n    \"Sampling method\": \"\u63a1\u6a23\u65b9\u6cd5\",\r\n    \"Euler a\": \"Euler a\",\r\n    \"Euler\": \"Euler\",\r\n    \"LMS\": \"LMS\",\r\n    \"Heun\": \"Heun\",\r\n    \"DPM2\": \"DPM2\",\r\n    \"DPM2 a\": \"DPM2 a\",\r\n    \"DPM fast\": \"DPM fast\",\r\n    \"DPM adaptive\": \"DPM adaptive\",\r\n    \"LMS Karras\": \"LMS Karras\",\r\n    \"DPM2 Karras\": \"DPM2 Karras\",\r\n    \"DPM2 a Karras\": \"DPM2 a Karras\",\r\n    \"DDIM\": \"DDIM\",\r\n    \"PLMS\": \"PLMS\",\r\n    \"Width\": \"\u5bec\u5ea6\",\r\n    \"Height\": \"\u9ad8\u5ea6\",\r\n    \"Restore faces\": \"\u9762\u90e8\u4fee\u5fa9\",\r\n    \"Tiling\": \"\u53ef\u5e73\u92ea\",\r\n    \"Highres. fix\": \"\u9ad8\u89e3\u6790\u5ea6\u4fee\u5fa9\",\r\n    \"Firstpass width\": \"\u7b2c\u4e00\u904d\u7684\u5bec\u5ea6\",\r\n    \"Firstpass height\": \"\u7b2c\u4e00\u904d\u7684\u9ad8\u5ea6\",\r\n    \"Denoising strength\": \"\u91cd\u7e6a\u5e45\u5ea6\",\r\n    \"Batch count\": \"\u751f\u6210\u6279\u6b21\",\r\n    \"Batch size\": \"\u6bcf\u6279\u6578\u91cf\",\r\n    \"CFG Scale\": \"\u63d0\u793a\u8a5e\u76f8\u95dc\u6027\uff08CFG\uff09\",\r\n    \"Seed\": \"\u96a8\u6a5f\u7a2e\u5b50\",\r\n    \"Extra\": \"\u25bc\",\r\n    \"Variation seed\": \"\u5dee\u7570\u96a8\u6a5f\u7a2e\u5b50\",\r\n    \"Variation strength\": \"\u5dee\u7570\u5f37\u5ea6\",\r\n    \"Resize seed from width\": \"\u81ea\u5bec\u5ea6\u7e2e\u653e\u96a8\u6a5f\u7a2e\u5b50\",\r\n    \"Resize seed from height\": \"\u81ea\u9ad8\u5ea6\u7e2e\u653e\u96a8\u6a5f\u7a2e\u5b50\",\r\n    \"Open for Clip Aesthetic!\": \"\u6253\u958b\u4ee5\u8abf\u6574 Clip \u7684\u7f8e\u8853\u98a8\u683c\uff01\",\r\n    \"\u25bc\": \"\u25bc\",\r\n    \"Aesthetic weight\": \"\u7f8e\u8853\u98a8\u683c\u6b0a\u91cd\",\r\n    \"Aesthetic steps\": \"\u7f8e\u8853\u98a8\u683c\u758a\u4ee3\u6b65\u6578\",\r\n    \"Aesthetic learning rate\": \"\u7f8e\u8853\u98a8\u683c\u5b78\u7fd2\u7387\",\r\n    \"Slerp interpolation\": \"\u7403\u9762\u7dda\u6027\u63d2\u503c\u89d2\u5ea6\",\r\n    \"Aesthetic imgs embedding\": \"\u7f8e\u8853\u98a8\u683c\u5716\u96c6 embedding\",\r\n    \"None\": \"\u7121\",\r\n    \"Aesthetic text for imgs\": \"\u8a72\u5716\u96c6\u7684\u7f8e\u8853\u98a8\u683c\u63cf\u8ff0\",\r\n    \"Slerp angle\": \"Slerp \u89d2\u5ea6\",\r\n    \"Is negative text\": \"\u662f\u53cd\u5411\u63d0\u793a\u8a5e\",\r\n    \"Script\": \"\u6307\u4ee4\u78bc\",\r\n    \"Embedding to Shareable PNG\": \"\u5c07 Embedding \u8f49\u63db\u70ba\u53ef\u5206\u4eab\u7684 PNG \u5716\u7247\u6a94\u6848\",\r\n    \"Prompt matrix\": \"\u63d0\u793a\u8a5e\u77e9\u9663\",\r\n    \"Prompts from file or textbox\": \"\u5f9e\u6587\u5b57\u65b9\u584a\u6216\u6a94\u6848\u8f09\u5165\u63d0\u793a\u8a5e\",\r\n    \"X\/Y plot\": \"X\/Y \u5716\u8868\",\r\n    \"Source embedding to convert\": \"\u7528\u65bc\u8f49\u63db\u7684\u6e90 Embedding\",\r\n    \"Embedding token\": \"Embedding \u7684\u95dc\u9375\u8a5e\",\r\n    \"Put variable parts at start of prompt\": \"\u628a\u8b8a\u91cf\u90e8\u5206\u653e\u5728\u63d0\u793a\u8a5e\u6587\u672c\u7684\u958b\u982d\",\r\n    \"Show Textbox\": \"\u986f\u793a\u6587\u5b57\u65b9\u584a\",\r\n    \"File with inputs\": \"\u542b\u8f38\u5165\u5167\u5bb9\u7684\u6a94\u6848\",\r\n    \"Prompts\": \"\u63d0\u793a\u8a5e\",\r\n    \"Iterate seed every line\": \"\u6bcf\u884c\u8f38\u5165\u90fd\u63db\u4e00\u500b\u7a2e\u5b50\",\r\n    \"Use same random seed for all lines\": \"\u6bcf\u884c\u8f38\u5165\u90fd\u4f7f\u7528\u540c\u4e00\u500b\u96a8\u6a5f\u7a2e\u5b50\",\r\n    \"List of prompt inputs\": \"\u63d0\u793a\u8a5e\u8f38\u5165\u5217\u8868\",\r\n    \"Upload prompt inputs\": \"\u4e0a\u50b3\u63d0\u793a\u8a5e\u8f38\u5165\u6a94\u6848\",\r\n    \"X type\": \"X\u8ef8\u985e\u578b\",\r\n    \"Nothing\": \"\u7121\",\r\n    \"Var. seed\": \"\u5dee\u7570\u96a8\u6a5f\u7a2e\u5b50\",\r\n    \"Var. strength\": \"\u5dee\u7570\u5f37\u5ea6\",\r\n    \"Steps\": \"\u758a\u4ee3\u6b65\u6578\",\r\n    \"Prompt S\/R\": \"\u63d0\u793a\u8a5e\u66ff\u63db\",\r\n    \"Prompt order\": \"\u63d0\u793a\u8a5e\u9806\u5e8f\",\r\n    \"Sampler\": \"\u63a1\u6a23\u5668\",\r\n    \"Checkpoint name\": \"\u6a21\u578b\u6b0a\u91cd\u5b58\u6a94\u9ede\u7684\u540d\u7a31\",\r\n    \"Hypernetwork\": \"\u8d85\u7db2\u8def\uff08Hypernetwork\uff09\",\r\n    \"Hypernet str.\": \"\u8d85\u7db2\u8def\uff08Hypernetwork\uff09\u5f37\u5ea6\",\r\n    \"Sigma Churn\": \"Sigma Churn\",\r\n    \"Sigma min\": \"\u6700\u5c0f Sigma\",\r\n    \"Sigma max\": \"\u6700\u5927 Sigma\",\r\n    \"Sigma noise\": \"Sigma noise\",\r\n    \"Eta\": \"Eta\",\r\n    \"Clip skip\": \"Clip \u8df3\u904e\",\r\n    \"Denoising\": \"\u91cd\u7e6a\u5e45\u5ea6\",\r\n    \"Cond. Image Mask Weight\": \"\u5716\u50cf\u8abf\u7bc0\u5c4f\u853d\u5ea6\",\r\n    \"X values\": \"X\u8ef8\u6578\u503c\",\r\n    \"Y type\": \"Y\u8ef8\u985e\u578b\",\r\n    \"Y values\": \"Y\u8ef8\u6578\u503c\",\r\n    \"Draw legend\": \"\u5728\u5716\u8868\u4e2d\u5305\u62ec\u8ef8\u6a19\u984c\",\r\n    \"Include Separate Images\": \"\u5305\u62ec\u7368\u7acb\u7684\u5716\u50cf\",\r\n    \"Keep -1 for seeds\": \"\u4fdd\u6301\u96a8\u6a5f\u7a2e\u5b50\u70ba-1\",\r\n    \"Drop Image Here\": \"\u62d6\u66f3\u5716\u50cf\u5230\u6b64\",\r\n    \"Save\": \"\u5132\u5b58\",\r\n    \"Send to img2img\": \"&gt;&gt; \u5716\u751f\u5716\",\r\n    \"Send to inpaint\": \"&gt;&gt; \u5c40\u90e8\u91cd\u7e6a\",\r\n    \"Send to extras\": \"&gt;&gt; \u66f4\u591a\",\r\n    \"Make Zip when Save?\": \"\u5132\u5b58\u6642\u751f\u6210ZIP\u58d3\u7e2e\u6a94\u6848\uff1f\",\r\n    \"Textbox\": \"\u6587\u5b57\u65b9\u584a\",\r\n    \"Interrogate\\nCLIP\": \"CLIP\\n\u53cd\u63a8\u63d0\u793a\u8a5e\",\r\n    \"Interrogate\\nDeepBooru\": \"DeepBooru\\n\u53cd\u63a8\u63d0\u793a\u8a5e\",\r\n    \"Inpaint\": \"\u5c40\u90e8\u91cd\u7e6a\",\r\n    \"Batch img2img\": \"\u6279\u91cf\u5716\u751f\u5716\",\r\n    \"Image for img2img\": \"\u5716\u751f\u5716\u7684\u5716\u50cf\",\r\n    \"Image for inpainting with mask\": \"\u7528\u65bc\u5c40\u90e8\u91cd\u7e6a\u4e26\u624b\u52d5\u756b\u8499\u7248\u7684\u5716\u50cf\",\r\n    \"Mask\": \"\u8499\u7248\",\r\n    \"Mask blur\": \"\u8499\u7248\u6a21\u7cca\",\r\n    \"Mask mode\": \"\u8499\u7248\u6a21\u5f0f\",\r\n    \"Draw mask\": \"\u7e6a\u88fd\u8499\u7248\",\r\n    \"Upload mask\": \"\u4e0a\u50b3\u8499\u7248\",\r\n    \"Masking mode\": \"\u8499\u7248\u6a21\u5f0f\",\r\n    \"Inpaint masked\": \"\u91cd\u7e6a\u8499\u7248\u5167\u5bb9\",\r\n    \"Inpaint not masked\": \"\u91cd\u7e6a\u975e\u8499\u7248\u5167\u5bb9\",\r\n    \"Masked content\": \"\u8499\u7248\u8499\u4f4f\u7684\u5167\u5bb9\",\r\n    \"fill\": \"\u586b\u5145\",\r\n    \"original\": \"\u539f\u5716\",\r\n    \"latent noise\": \"\u6f5b\u7a7a\u9593\u566a\u8072\",\r\n    \"latent nothing\": \"\u6f5b\u7a7a\u9593\u6578\u503c\u96f6\",\r\n    \"Inpaint at full resolution\": \"\u5168\u89e3\u6790\u5ea6\u5c40\u90e8\u91cd\u7e6a\",\r\n    \"Inpaint at full resolution padding, pixels\": \"\u9810\u7559\u756b\u7d20\",\r\n    \"Process images in a directory on the same machine where the server is running.\": \"\u4f7f\u7528\u4f3a\u670d\u5668\u4e3b\u6a5f\u4e0a\u7684\u4e00\u500b\u76ee\u9304\uff0c\u4f5c\u70ba\u8f38\u5165\u76ee\u9304\u8655\u7406\u5716\u50cf\",\r\n    \"Use an empty output directory to save pictures normally instead of writing to the output directory.\": \"\u4f7f\u7528\u4e00\u500b\u7a7a\u7684\u8cc7\u6599\u593e\u4f5c\u70ba\u8f38\u51fa\u76ee\u9304\uff0c\u800c\u4e0d\u662f\u4f7f\u7528\u9810\u8a2d\u7684 output \u8cc7\u6599\u593e\u4f5c\u70ba\u8f38\u51fa\u76ee\u9304\",\r\n    \"Disabled when launched with --hide-ui-dir-config.\": \"\u555f\u52d5 --hide-ui-dir-config \u6642\u7981\u7528\",\r\n    \"Input directory\": \"\u8f38\u5165\u76ee\u9304\",\r\n    \"Output directory\": \"\u8f38\u51fa\u76ee\u9304\",\r\n    \"Resize mode\": \"\u7e2e\u653e\u6a21\u5f0f\",\r\n    \"Just resize\": \"\u62c9\u4f38\",\r\n    \"Crop and resize\": \"\u88c1\u526a\",\r\n    \"Resize and fill\": \"\u586b\u5145\",\r\n    \"img2img alternative test\": \"\u5716\u751f\u5716\u7684\u53e6\u4e00\u7a2e\u6e2c\u8a66\",\r\n    \"Loopback\": \"\u56de\u9001\",\r\n    \"Outpainting mk2\": \"\u5411\u5916\u7e6a\u88fd\u7b2c\u4e8c\u7248\",\r\n    \"Poor man's outpainting\": \"\u6548\u679c\u7a0d\u5dee\u7684\u5411\u5916\u7e6a\u88fd\",\r\n    \"SD upscale\": \"\u4f7f\u7528 SD \u653e\u5927\",\r\n    \"should be 2 or lower.\": \"\u5fc5\u9808\u5c0f\u65bc\u7b49\u65bc2\",\r\n    \"Override `Sampling method` to Euler?(this method is built for it)\": \"\u8986\u5beb\u300c\u63a1\u6a23\u65b9\u6cd5\u300d\u70ba Euler\uff1f\uff08\u9019\u500b\u65b9\u6cd5\u5c31\u662f\u70ba\u9019\u6a23\u505a\u8a2d\u8a08\u7684\uff09\",\r\n    \"Override `prompt` to the same value as `original prompt`?(and `negative prompt`)\": \"\u8986\u5beb\u300c\u63d0\u793a\u8a5e\u300d\u70ba\u300c\u521d\u59cb\u63d0\u793a\u8a5e\u300d\uff1f\uff08\u5305\u62ec\u300c\u53cd\u5411\u63d0\u793a\u8a5e\u300d\uff09\",\r\n    \"Original prompt\": \"\u521d\u59cb\u63d0\u793a\u8a5e\",\r\n    \"Original negative prompt\": \"\u521d\u59cb\u53cd\u5411\u63d0\u793a\u8a5e\",\r\n    \"Override `Sampling Steps` to the same value as `Decode steps`?\": \"\u8986\u5beb\u300c\u63a1\u6a23\u758a\u4ee3\u6b65\u6578\u300d\u70ba\u300c\u89e3\u78bc\u758a\u4ee3\u6b65\u6578\u300d\uff1f\",\r\n    \"Decode steps\": \"\u89e3\u78bc\u758a\u4ee3\u6b65\u6578\",\r\n    \"Override `Denoising strength` to 1?\": \"\u8986\u5beb\u300c\u91cd\u7e6a\u5e45\u5ea6\u300d\u70ba1?\",\r\n    \"Decode CFG scale\": \"\u89e3\u78bc\u63d0\u793a\u8a5e\u76f8\u95dc\u6027\uff08CFG\uff09\",\r\n    \"Randomness\": \"\u96a8\u6a5f\u5ea6\",\r\n    \"Sigma adjustment for finding noise for image\": \"\u70ba\u5c0b\u627e\u5716\u4e2d\u566a\u9ede\u7684 Sigma \u8abf\u6574\",\r\n    \"Loops\": \"\u758a\u4ee3\u6b21\u6578\",\r\n    \"Denoising strength change factor\": \"\u91cd\u7e6a\u5e45\u5ea6\u7684\u8abf\u6574\u4fc2\u6578\",\r\n    \"Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8\": \"\u63a8\u85a6\u8a2d\u5b9a\uff1a\u63a1\u6a23\u758a\u4ee3\u6b65\u6578\uff1a80-100\uff0c\u63a1\u6a23\u5668\uff1aEuler a\uff0c\u91cd\u7e6a\u5e45\u5ea6\uff1a0.8\",\r\n    \"Pixels to expand\": \"\u62d3\u5c55\u7684\u756b\u7d20\u6578\",\r\n    \"Outpainting direction\": \"\u5411\u5916\u7e6a\u88fd\u7684\u65b9\u5411\",\r\n    \"left\": \"\u5de6\",\r\n    \"right\": \"\u53f3\",\r\n    \"up\": \"\u4e0a\",\r\n    \"down\": \"\u4e0b\",\r\n    \"Fall-off exponent (lower=higher detail)\": \"\u8870\u6e1b\u6307\u6578\uff08\u8d8a\u4f4e\u7d30\u7bc0\u8d8a\u597d\uff09\",\r\n    \"Color variation\": \"\u8272\u5f69\u8b8a\u5316\",\r\n    \"Will upscale the image to twice the dimensions; use width and height sliders to set tile size\": \"\u5c07\u5716\u50cf\u653e\u5927\u5230\u5169\u500d\u5c3a\u5bf8\uff1b \u4f7f\u7528\u5bec\u5ea6\u548c\u9ad8\u5ea6\u6ed1\u584a\u8a2d\u5b9a\u5716\u584a\u5c3a\u5bf8\",\r\n    \"Tile overlap\": \"\u5716\u584a\u91cd\u758a\u7684\u756b\u7d20\",\r\n    \"Upscaler\": \"\u653e\u5927\u6f14\u7b97\u6cd5\",\r\n    \"Lanczos\": \"Lanczos\",\r\n    \"Nearest\": \"\u6700\u9130\u8fd1\uff08\u6574\u6578\u7e2e\u653e\uff09\",\r\n    \"LDSR\": \"LDSR\",\r\n    \"BSRGAN 4x\": \"BSRGAN 4x\",\r\n    \"ESRGAN_4x\": \"ESRGAN_4x\",\r\n    \"R-ESRGAN 4x+ Anime6B\": \"R-ESRGAN 4x+ Anime6B\",\r\n    \"ScuNET GAN\": \"ScuNET GAN\",\r\n    \"ScuNET PSNR\": \"ScuNET PSNR\",\r\n    \"SwinIR_4x\": \"SwinIR 4x\",\r\n    \"Single Image\": \"\u55ae\u500b\u5716\u50cf\",\r\n    \"Batch Process\": \"\u6279\u91cf\u8655\u7406\",\r\n    \"Batch from Directory\": \"\u5f9e\u76ee\u9304\u9032\u884c\u6279\u91cf\u8655\u7406\",\r\n    \"Source\": \"\u4f86\u6e90\",\r\n    \"Show result images\": \"\u986f\u793a\u8f38\u51fa\u5716\u50cf\",\r\n    \"Scale by\": \"\u7b49\u6bd4\u7e2e\u653e\",\r\n    \"Scale to\": \"\u6307\u5b9a\u5c3a\u5bf8\u7e2e\u653e\",\r\n    \"Resize\": \"\u7e2e\u653e\",\r\n    \"Crop to fit\": \"\u88c1\u526a\u4ee5\u9069\u61c9\",\r\n    \"Upscaler 2\": \"\u653e\u5927\u6f14\u7b97\u6cd5 2\",\r\n    \"Upscaler 2 visibility\": \"\u653e\u5927\u6f14\u7b97\u6cd5 2 \u53ef\u898b\u5ea6\",\r\n    \"GFPGAN visibility\": \"GFPGAN \u53ef\u898b\u5ea6\",\r\n    \"CodeFormer visibility\": \"CodeFormer \u53ef\u898b\u5ea6\",\r\n    \"CodeFormer weight (0 = maximum effect, 1 = minimum effect)\": \"CodeFormer \u6b0a\u91cd \uff080 = \u6700\u5927\u6548\u679c\uff0c 1 = \u6700\u5c0f\u6548\u679c\uff09\",\r\n    \"Open output directory\": \"\u6253\u958b\u8f38\u51fa\u76ee\u9304\",\r\n    \"Upscale Before Restoring Faces\": \"\u653e\u5927\u5f8c\u518d\u9032\u884c\u9762\u90e8\u4fee\u5fa9\",\r\n    \"Send to txt2img\": \"&gt;&gt; \u6587\u751f\u5716\",\r\n    \"A merger of the two checkpoints will be generated in your\": \"\u5408\u4f75\u5f8c\u7684\u6a21\u578b\u6b0a\u91cd\u5b58\u6a94\u9ede\u6703\u751f\u6210\u5728\u4f60\u7684\",\r\n    \"checkpoint\": \"\u6a21\u578b\u6b0a\u91cd\u5b58\u6a94\u9ede\",\r\n    \"directory.\": \"\u76ee\u9304\",\r\n    \"Primary model (A)\": \"\u4e3b\u8981\u6a21\u578b (A)\",\r\n    \"Secondary model (B)\": \"\u7b2c\u4e8c\u6a21\u578b (B)\",\r\n    \"Tertiary model (C)\": \"\u7b2c\u4e09\u6a21\u578b (C)\",\r\n    \"Custom Name (Optional)\": \"\u81ea\u8a02\u540d\u7a31 \uff08\u53ef\u9078\uff09\",\r\n    \"Multiplier (M) - set to 0 to get model A\": \"\u500d\u7387 (M) - \u8a2d\u70ba 0 \u7b49\u50f9\u65bc\u6a21\u578b A\",\r\n    \"Interpolation Method\": \"\u63d2\u503c\u65b9\u6cd5\",\r\n    \"Weighted sum\": \"\u52a0\u6b0a\u548c\",\r\n    \"Add difference\": \"\u52a0\u5165\u5dee\u5206\",\r\n    \"Save as float16\": \"\u4ee5 float16 \u5132\u5b58\",\r\n    \"See\": \"\u6aa2\u8996\",\r\n    \"wiki\": \"wiki\u6587\u4ef6\",\r\n    \"for detailed explanation.\": \"\u4ee5\u4e86\u89e3\u8a73\u7d30\u8aaa\u660e\",\r\n    \"Create embedding\": \"\u751f\u6210 embedding\",\r\n    \"Create aesthetic images embedding\": \"\u751f\u6210\u7f8e\u8853\u98a8\u683c\u5716\u96c6 embedding\",\r\n    \"Create hypernetwork\": \"\u751f\u6210\u8d85\u7db2\u8def\uff08Hypernetwork\uff09\",\r\n    \"Preprocess images\": \"\u5716\u50cf\u9810\u8655\u7406\",\r\n    \"Name\": \"\u540d\u7a31\",\r\n    \"Initialization text\": \"\u521d\u59cb\u5316\u6587\u5b57\",\r\n    \"Number of vectors per token\": \"\u6bcf\u500b token \u7684\u5411\u91cf\u6578\",\r\n    \"Overwrite Old Embedding\": \"\u8986\u5beb\u820a\u7684 Embedding\",\r\n    \"Modules\": \"\u6a21\u7d44\",\r\n    \"Enter hypernetwork layer structure\": \"\u8f38\u5165\u8d85\u7db2\u8def\uff08Hypernetwork\uff09\u5c64\u7d50\u69cb\",\r\n    \"Select activation function of hypernetwork\": \"\u9078\u64c7\u8d85\u7db2\u8def\uff08Hypernetwork\uff09\u7684\u6fc0\u6d3b\u51fd\u6578\",\r\n    \"linear\": \"linear\",\r\n    \"relu\": \"relu\",\r\n    \"leakyrelu\": \"leakyrelu\",\r\n    \"elu\": \"elu\",\r\n    \"swish\": \"swish\",\r\n    \"tanh\": \"tanh\",\r\n    \"sigmoid\": \"sigmoid\",\r\n    \"celu\": \"celu\",\r\n    \"gelu\": \"gelu\",\r\n    \"glu\": \"glu\",\r\n    \"hardshrink\": \"hardshrink\",\r\n    \"hardsigmoid\": \"hardsigmoid\",\r\n    \"hardtanh\": \"hardtanh\",\r\n    \"logsigmoid\": \"logsigmoid\",\r\n    \"logsoftmax\": \"logsoftmax\",\r\n    \"mish\": \"mish\",\r\n    \"prelu\": \"prelu\",\r\n    \"rrelu\": \"rrelu\",\r\n    \"relu6\": \"relu6\",\r\n    \"selu\": \"selu\",\r\n    \"silu\": \"silu\",\r\n    \"softmax\": \"softmax\",\r\n    \"softmax2d\": \"softmax2d\",\r\n    \"softmin\": \"softmin\",\r\n    \"softplus\": \"softplus\",\r\n    \"softshrink\": \"softshrink\",\r\n    \"softsign\": \"softsign\",\r\n    \"tanhshrink\": \"tanhshrink\",\r\n    \"threshold\": \"\u95be\u503c\",\r\n    \"Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended\": \"\u6311\u9078\u521d\u59cb\u5316\u5c64\u6b0a\u91cd\u7684\u65b9\u6848. \u985erelu - Kaiming, \u985esigmoid - Xavier \u90fd\u662f\u6bd4\u8f03\u63a8\u85a6\u7684\u9078\u9805\",\r\n    \"Normal\": \"\u6b63\u614b\",\r\n    \"KaimingUniform\": \"Kaiming \u5747\u52fb\",\r\n    \"KaimingNormal\": \"Kaiming \u6b63\u614b\",\r\n    \"XavierUniform\": \"Xavier \u5747\u52fb\",\r\n    \"XavierNormal\": \"Xavier \u6b63\u614b\",\r\n    \"Add layer normalization\": \"\u52a0\u5165\u5c64\u6a19\u6e96\u5316\",\r\n    \"Use dropout\": \"\u63a1\u7528 dropout \u9632\u6b62\u904e\u64ec\u5408\",\r\n    \"Overwrite Old Hypernetwork\": \"\u8986\u5beb\u820a\u7684\u8d85\u7db2\u8def\uff08Hypernetwork\uff09\",\r\n    \"Source directory\": \"\u4f86\u6e90\u76ee\u9304\",\r\n    \"Destination directory\": \"\u76ee\u6a19\u76ee\u9304\",\r\n    \"Existing Caption txt Action\": \"\u5c0d\u5df2\u6709\u7684TXT\u8aaa\u660e\u6587\u5b57\u7684\u884c\u70ba\",\r\n    \"ignore\": \"\u7121\u8996\",\r\n    \"copy\": \"\u8907\u88fd\",\r\n    \"prepend\": \"\u653e\u524d\u9762\",\r\n    \"append\": \"\u653e\u5f8c\u9762\",\r\n    \"Create flipped copies\": \"\u751f\u6210\u93e1\u50cf\u526f\u672c\",\r\n    \"Split oversized images into two\": \"\u5c07\u904e\u5927\u7684\u5716\u50cf\u5206\u70ba\u5169\u4efd\",\r\n    \"Split oversized images\": \"\u5206\u5272\u904e\u5927\u7684\u5716\u50cf\",\r\n    \"Auto focal point crop\": \"\u81ea\u52d5\u7126\u9ede\u88c1\u5207\",\r\n    \"Use BLIP for caption\": \"\u4f7f\u7528 BLIP \u751f\u6210\u8aaa\u660e\u6587\u5b57\uff08\u81ea\u7136\u8a9e\u8a00\u63cf\u8ff0\uff09\",\r\n    \"Use deepbooru for caption\": \"\u4f7f\u7528 deepbooru \u751f\u6210\u8aaa\u660e\u6587\u5b57\uff08\u6a19\u8a18\uff09\",\r\n    \"Split image threshold\": \"\u5716\u50cf\u5206\u5272\u95be\u503c\",\r\n    \"Split image overlap ratio\": \"\u5206\u5272\u5716\u50cf\u91cd\u758a\u7684\u6bd4\u7387\",\r\n    \"Focal point face weight\": \"\u7126\u9ede\u9762\u90e8\u6b0a\u91cd\",\r\n    \"Focal point entropy weight\": \"\u7126\u9ede\u71b5\u6b0a\u91cd\",\r\n    \"Focal point edges weight\": \"\u7126\u9ede\u7dda\u689d\u6b0a\u91cd\",\r\n    \"Create debug image\": \"\u751f\u6210\u9664\u932f\u5716\u7247\",\r\n    \"Preprocess\": \"\u9810\u8655\u7406\",\r\n    \"Train an embedding; must specify a directory with a set of 1:1 ratio images\": \"\u8a13\u7df4 embedding\uff1b \u5fc5\u9808\u6307\u5b9a\u4e00\u7d44\u5177\u6709 1:1 \u6bd4\u4f8b\u5716\u50cf\u7684\u76ee\u9304\",\r\n    \"Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images\": \"\u8a13\u7df4 embedding \u6216\u8005\u8d85\u7db2\u8def\uff08Hypernetwork\uff09\uff1b \u5fc5\u9808\u6307\u5b9a\u4e00\u7d44\u5177\u6709 1:1 \u6bd4\u4f8b\u5716\u50cf\u7684\u76ee\u9304\",\r\n    \"[wiki]\": \"[wiki\u6587\u4ef6]\",\r\n    \"Embedding\": \"Embedding\",\r\n    \"Embedding Learning rate\": \"Embedding \u5b78\u7fd2\u7387\",\r\n    \"Hypernetwork Learning rate\": \"\u8d85\u7db2\u8def\uff08Hypernetwork\uff09\u5b78\u7fd2\u7387\",\r\n    \"Learning rate\": \"\u5b78\u7fd2\u7387\",\r\n    \"Dataset directory\": \"\u8cc7\u6599\u96c6\u76ee\u9304\",\r\n    \"Log directory\": \"\u65e5\u8a8c\u76ee\u9304\",\r\n    \"Prompt template file\": \"\u63d0\u793a\u8a5e\u6a21\u7248\u6a94\u6848\",\r\n    \"Max steps\": \"\u6700\u5927\u758a\u4ee3\u6b65\u6578\",\r\n    \"Save an image to log directory every N steps, 0 to disable\": \"\u6bcf N \u6b65\u5132\u5b58\u4e00\u500b\u5716\u50cf\u5230\u65e5\u8a8c\u76ee\u9304\uff0c0 \u8868\u793a\u7981\u7528\",\r\n    \"Save a copy of embedding to log directory every N steps, 0 to disable\": \"\u6bcf N \u6b65\u5c07 embedding \u7684\u526f\u672c\u5132\u5b58\u5230\u65e5\u8a8c\u76ee\u9304\uff0c0 \u8868\u793a\u7981\u7528\",\r\n    \"Save images with embedding in PNG chunks\": \"\u5132\u5b58\u5716\u50cf\uff0c\u4e26\u5728 PNG \u5716\u7247\u6a94\u6848\u4e2d\u5d4c\u5165 embedding \u6a94\u6848\",\r\n    \"Read parameters (prompt, etc...) from txt2img tab when making previews\": \"\u9032\u884c\u9810\u89bd\u6642\uff0c\u5f9e\u6587\u751f\u5716\u9801\u7c64\u4e2d\u8b80\u53d6\u53c3\u6578\uff08\u63d0\u793a\u8a5e\u7b49\uff09\",\r\n    \"Train Hypernetwork\": \"\u8a13\u7df4\u8d85\u7db2\u8def\uff08Hypernetwork\uff09\",\r\n    \"Train Embedding\": \"\u8a13\u7df4 Embedding\",\r\n    \"Create an aesthetic embedding out of any number of images\": \"\u5f9e\u4efb\u610f\u6578\u91cf\u7684\u5716\u50cf\u4e2d\u5efa\u7acb\u7f8e\u8853\u98a8\u683c embedding\",\r\n    \"Create images embedding\": \"\u751f\u6210\u5716\u96c6 embedding\",\r\n    \"txt2img history\": \"\u6587\u751f\u5716\u6b77\u53f2\u8a18\u9304\",\r\n    \"img2img history\": \"\u5716\u751f\u5716\u6b77\u53f2\u8a18\u9304\",\r\n    \"extras history\": \"\u5f8c\u8655\u7406\u6b77\u53f2\u8a18\u9304\",\r\n    \"extras\": \"\u5f8c\u8655\u7406\",\r\n    \"favorites\": \"\u6536\u85cf\u593e\",\r\n    \"Favorites\": \"\u6536\u85cf\u593e\",\r\n    \"Others\": \"\u5176\u4ed6\",\r\n    \"custom fold\": \"\u81ea\u8a02\u8cc7\u6599\u593e\",\r\n    \"Load\": \"\u8f09\u5165\",\r\n    \"Images directory\": \"\u5716\u50cf\u76ee\u9304\",\r\n    \"Prev batch\": \"\u4e0a\u4e00\u6279\",\r\n    \"Next batch\": \"\u4e0b\u4e00\u6279\",\r\n    \"Dropdown\": \"\u4e0b\u62c9\u5f0f\u6e05\u55ae\",\r\n    \"First Page\": \"\u9996\u9801\",\r\n    \"Prev Page\": \"\u4e0a\u4e00\u9801\",\r\n    \"Page Index\": \"\u9801\u6578\",\r\n    \"Next Page\": \"\u4e0b\u4e00\u9801\",\r\n    \"End Page\": \"\u5c3e\u9801\",\r\n    \"number of images to delete consecutively next\": \"\u63a5\u4e0b\u4f86\u8981\u9023\u7e8c\u522a\u9664\u7684\u5716\u50cf\u6578\",\r\n    \"delete next\": \"\u522a\u9664\u4e0b\u4e00\u5f35\",\r\n    \"Delete\": \"\u522a\u9664\",\r\n    \"sort by\": \"\u6392\u5e8f\u65b9\u5f0f\",\r\n    \"path name\": \"\u8def\u5f91\u540d\",\r\n    \"date\": \"\u65e5\u671f\",\r\n    \"keyword\": \"\u641c\u5c0b\",\r\n    \"Generate Info\": \"\u751f\u6210\u8cc7\u8a0a\",\r\n    \"File Name\": \"\u6a94\u6848\u540d\",\r\n    \"Collect\": \"\u6536\u85cf\",\r\n    \"Refresh page\": \"\u5237\u65b0\u9801\u9762\",\r\n    \"Date to\": \"\u65e5\u671f\u81f3\",\r\n    \"Move to favorites\": \"\u79fb\u52d5\u5230\u6536\u85cf\u593e\",\r\n    \"Renew Page\": \"\u5237\u65b0\u9801\u9762\",\r\n    \"Number\": \"\u6578\u91cf\",\r\n    \"set_index\": \"\u8a2d\u5b9a\u7d22\u5f15\",\r\n    \"load_switch\": \"\u8f09\u5165\u958b\u95dc\",\r\n    \"turn_page_switch\": \"\u7ffb\u9801\u958b\u95dc\",\r\n    \"Checkbox\": \"\u6838\u53d6\u65b9\u584a\",\r\n    \"Apply settings\": \"\u5132\u5b58\u8a2d\u5b9a\",\r\n    \"Saving images\/grids\": \"\u5132\u5b58\u5716\u50cf\uff0f\u5bae\u683c\u5716\",\r\n    \"Always save all generated images\": \"\u59cb\u7d42\u5132\u5b58\u6240\u6709\u751f\u6210\u7684\u5716\u50cf\",\r\n    \"File format for images\": \"\u5716\u50cf\u7684\u6a94\u6848\u683c\u5f0f\",\r\n    \"Images filename pattern\": \"\u5716\u50cf\u6a94\u6848\u540d\u683c\u5f0f\",\r\n    \"Add number to filename when saving\": \"\u5132\u5b58\u7684\u6642\u5019\u5728\u6a94\u6848\u540d\u91cc\u52a0\u5165\u6578\u5b57\",\r\n    \"Always save all generated image grids\": \"\u59cb\u7d42\u5132\u5b58\u6240\u6709\u751f\u6210\u7684\u5bae\u683c\u5716\",\r\n    \"File format for grids\": \"\u5bae\u683c\u5716\u7684\u6a94\u6848\u683c\u5f0f\",\r\n    \"Add extended info (seed, prompt) to filename when saving grid\": \"\u5132\u5b58\u5bae\u683c\u5716\u6642\uff0c\u5c07\u64f4\u5c55\u8cc7\u8a0a\uff08\u96a8\u6a5f\u7a2e\u5b50\uff0c\u63d0\u793a\u8a5e\uff09\u52a0\u5165\u5230\u6a94\u6848\u540d\",\r\n    \"Do not save grids consisting of one picture\": \"\u53ea\u6709\u4e00\u5f35\u5716\u7247\u6642\u4e0d\u8981\u5132\u5b58\u5bae\u683c\u5716\",\r\n    \"Prevent empty spots in grid (when set to autodetect)\": \"\uff08\u555f\u7528\u81ea\u52d5\u5075\u6e2c\u6642\uff09\u9632\u6b62\u5bae\u683c\u5716\u4e2d\u51fa\u73fe\u7a7a\u4f4d\",\r\n    \"Grid row count; use -1 for autodetect and 0 for it to be same as batch size\": \"\u5bae\u683c\u5716\u884c\u6578\uff1b \u4f7f\u7528 -1 \u9032\u884c\u81ea\u52d5\u6aa2\u6e2c\uff0c\u4f7f\u7528 0 \u4f7f\u5176\u8207\u6bcf\u6279\u6578\u91cf\u76f8\u540c\",\r\n    \"Save text information about generation parameters as chunks to png files\": \"\u5c07\u6709\u95dc\u751f\u6210\u53c3\u6578\u7684\u6587\u672c\u8cc7\u8a0a\uff0c\u4f5c\u70ba\u584a\u5132\u5b58\u5230PNG\u5716\u7247\u6a94\u6848\u4e2d\",\r\n    \"Create a text file next to every image with generation parameters.\": \"\u5132\u5b58\u5716\u50cf\u6642\uff0c\u5728\u6bcf\u500b\u5716\u50cf\u65c1\u908a\u5efa\u7acb\u4e00\u500b\u6587\u672c\u6a94\u6848\u5132\u5b58\u751f\u6210\u53c3\u6578\",\r\n    \"Save a copy of image before doing face restoration.\": \"\u5728\u9032\u884c\u9762\u90e8\u4fee\u5fa9\u4e4b\u524d\u5132\u5b58\u5716\u50cf\u526f\u672c\",\r\n    \"Save a copy of image before applying highres fix.\": \"\u5728\u505a\u9ad8\u89e3\u6790\u5ea6\u4fee\u5fa9\u4e4b\u524d\u5132\u5b58\u521d\u59cb\u5716\u50cf\u526f\u672c\",\r\n    \"Save a copy of image before applying color correction to img2img results\": \"\u5728\u5c0d\u5716\u751f\u5716\u7d50\u679c\u5957\u7528\u984f\u8272\u6821\u6b63\u4e4b\u524d\u5132\u5b58\u5716\u50cf\u526f\u672c\",\r\n    \"Quality for saved jpeg images\": \"\u5132\u5b58\u7684JPEG\u5716\u50cf\u7684\u54c1\u8cea\",\r\n    \"If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG\": \"\u5982\u679c PNG \u5716\u50cf\u5927\u65bc 4MB \u6216\u5bec\u9ad8\u5927\u65bc 4000\uff0c\u5247\u7e2e\u5c0f\u4e26\u5132\u5b58\u526f\u672c\u70ba JPG \u5716\u7247\",\r\n    \"Use original name for output filename during batch process in extras tab\": \"\u5728\u66f4\u591a\u9801\u7c64\u4e2d\u7684\u6279\u91cf\u8655\u7406\u904e\u7a0b\u4e2d\uff0c\u4f7f\u7528\u539f\u59cb\u540d\u7a31\u4f5c\u70ba\u8f38\u51fa\u6a94\u6848\u540d\",\r\n    \"When using 'Save' button, only save a single selected image\": \"\u4f7f\u7528\u300c\u5132\u5b58\u300d\u6309\u9215\u6642\uff0c\u53ea\u5132\u5b58\u4e00\u500b\u9078\u5b9a\u7684\u5716\u50cf\",\r\n    \"Do not add watermark to images\": \"\u4e0d\u8981\u7d66\u5716\u50cf\u52a0\u6d6e\u6c34\u5370\",\r\n    \"Paths for saving\": \"\u5132\u5b58\u8def\u5f91\",\r\n    \"Output directory for images; if empty, defaults to three directories below\": \"\u5716\u50cf\u7684\u8f38\u51fa\u76ee\u9304\uff1b \u5982\u679c\u70ba\u7a7a\uff0c\u5247\u9810\u8a2d\u70ba\u4ee5\u4e0b\u4e09\u500b\u76ee\u9304\",\r\n    \"Output directory for txt2img images\": \"\u6587\u751f\u5716\u7684\u8f38\u51fa\u76ee\u9304\",\r\n    \"Output directory for img2img images\": \"\u5716\u751f\u5716\u7684\u8f38\u51fa\u76ee\u9304\",\r\n    \"Output directory for images from extras tab\": \"\u66f4\u591a\u9801\u7c64\u7684\u8f38\u51fa\u76ee\u9304\",\r\n    \"Output directory for grids; if empty, defaults to two directories below\": \"\u5bae\u683c\u5716\u7684\u8f38\u51fa\u76ee\u9304\uff1b \u5982\u679c\u70ba\u7a7a\uff0c\u5247\u9810\u8a2d\u70ba\u4ee5\u4e0b\u5169\u500b\u76ee\u9304\",\r\n    \"Output directory for txt2img grids\": \"\u6587\u751f\u5716\u5bae\u683c\u7684\u8f38\u51fa\u76ee\u9304\",\r\n    \"Output directory for img2img grids\": \"\u5716\u751f\u5716\u5bae\u683c\u7684\u8f38\u51fa\u76ee\u9304\",\r\n    \"Directory for saving images using the Save button\": \"\u4f7f\u7528\u300c\u5132\u5b58\u300d\u6309\u9215\u5132\u5b58\u5716\u50cf\u7684\u76ee\u9304\",\r\n    \"Saving to a directory\": \"\u5132\u5b58\u5230\u76ee\u9304\",\r\n    \"Save images to a subdirectory\": \"\u5c07\u5716\u50cf\u5132\u5b58\u5230\u5b50\u76ee\u9304\",\r\n    \"Save grids to a subdirectory\": \"\u5c07\u5bae\u683c\u5716\u5132\u5b58\u5230\u5b50\u76ee\u9304\",\r\n    \"When using \\\"Save\\\" button, save images to a subdirectory\": \"\u4f7f\u7528\u300c\u5132\u5b58\u300d\u6309\u9215\u6642\uff0c\u5c07\u5716\u50cf\u5132\u5b58\u5230\u5b50\u76ee\u9304\",\r\n    \"Directory name pattern\": \"\u76ee\u9304\u540d\u7a31\u683c\u5f0f\",\r\n    \"Max prompt words for [prompt_words] pattern\": \"[prompt_words] \u683c\u5f0f\u7684\u6700\u5927\u63d0\u793a\u8a5e\u6578\u91cf\",\r\n    \"Upscaling\": \"\u653e\u5927\",\r\n    \"Tile size for ESRGAN upscalers. 0 = no tiling.\": \"ESRGAN \u7684\u5716\u584a\u5c3a\u5bf8\u30020 = \u4e0d\u5206\u584a\",\r\n    \"Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.\": \"ESRGAN \u7684\u5716\u584a\u91cd\u758a\u756b\u7d20\u3002\u4f4e\u503c = \u53ef\u898b\u63a5\u7e2b\",\r\n    \"Tile size for all SwinIR.\": \"\u9069\u7528\u6240\u6709 SwinIR \u7cfb\u6f14\u7b97\u6cd5\u7684\u5716\u584a\u5c3a\u5bf8\",\r\n    \"Tile overlap, in pixels for SwinIR. Low values = visible seam.\": \"SwinIR \u7684\u5716\u584a\u91cd\u758a\u756b\u7d20\u3002\u4f4e\u503c = \u53ef\u898b\u63a5\u7e2b\",\r\n    \"LDSR processing steps. Lower = faster\": \"LDSR \u8655\u7406\u758a\u4ee3\u6b65\u6578\u3002\u66f4\u4f4e = \u66f4\u5feb\",\r\n    \"Upscaler for img2img\": \"\u5716\u751f\u5716\u7684\u653e\u5927\u6f14\u7b97\u6cd5\",\r\n    \"Upscale latent space image when doing hires. fix\": \"\u505a\u9ad8\u89e3\u6790\u5ea6\u4fee\u5fa9\u6642\uff0c\u4e5f\u653e\u5927\u6f5b\u7a7a\u9593\u5716\u50cf\",\r\n    \"Face restoration\": \"\u9762\u90e8\u4fee\u5fa9\",\r\n    \"CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect\": \"CodeFormer \u6b0a\u91cd\u53c3\u6578\uff1b 0 = \u6700\u5927\u6548\u679c\uff1b 1 = \u6700\u5c0f\u6548\u679c\",\r\n    \"Move face restoration model from VRAM into RAM after processing\": \"\u9762\u90e8\u4fee\u5fa9\u8655\u7406\u5b8c\u6210\u5f8c\uff0c\u5c07\u9762\u90e8\u4fee\u5fa9\u6a21\u578b\u5f9e\u986f\u5b58\uff08VRAM\uff09\u79fb\u81f3\u5167\u5b58\uff08RAM\uff09\",\r\n    \"System\": \"\u7cfb\u7d71\",\r\n    \"VRAM usage polls per second during generation. Set to 0 to disable.\": \"\u751f\u6210\u5716\u50cf\u6642\u6bcf\u79d2\u8f2a\u8a62\u986f\u5b58\uff08VRAM\uff09\u4f7f\u7528\u60c5\u6cc1\u7684\u6b21\u6578\u3002\u8a2d\u5b9a\u70ba 0 \u4ee5\u7981\u7528\",\r\n    \"Always print all generation info to standard output\": \"\u59cb\u7d42\u5c07\u6240\u6709\u751f\u6210\u8cc7\u8a0a\u8f38\u51fa\u5230 standard output \uff08\u4e00\u822c\u70ba\u63a7\u5236\u53f0\uff09\",\r\n    \"Add a second progress bar to the console that shows progress for an entire job.\": \"\u5411\u63a7\u5236\u53f0\u52a0\u5165\u7b2c\u4e8c\u500b\u9032\u5ea6\u5217\uff0c\u986f\u793a\u6574\u500b\u4f5c\u696d\u7684\u9032\u5ea6\",\r\n    \"Training\": \"\u8a13\u7df4\",\r\n    \"Unload VAE and CLIP from VRAM when training\": \"\u8a13\u7df4\u6642\u5f9e\u986f\u5b58\uff08VRAM\uff09\u4e2d\u53d6\u6d88 VAE \u548c CLIP \u7684\u8f09\u5165\",\r\n    \"Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.\": \"\u8a13\u7df4\u6642\u5c07 VAE \u548c CLIP \u5f9e\u986f\u5b58\uff08VRAM\uff09\u79fb\u653e\u5230\u5167\u5b58\uff08RAM\uff09\uff0c\u7bc0\u7701\u986f\u5b58\uff08VRAM\uff09\",\r\n    \"Move VAE and CLIP to RAM when training if possible. Saves VRAM.\": \"\u8a13\u7df4\u6642\u5c07 VAE \u548c CLIP \u5f9e\u986f\u5b58\uff08VRAM\uff09\u79fb\u653e\u5230\u5167\u5b58\uff08RAM\uff09\u5982\u679c\u53ef\u884c\u7684\u8a71\uff0c\u7bc0\u7701\u986f\u5b58\uff08VRAM\uff09\",\r\n    \"Filename word regex\": \"\u6a94\u6848\u540d\u7528\u8a5e\u7684\u6b63\u5247\u8868\u9054\u5f0f\",\r\n    \"Filename join string\": \"\u6a94\u6848\u540d\u9023\u63a5\u7528\u5b57\u4e32\",\r\n    \"Number of repeats for a single input image per epoch; used only for displaying epoch number\": \"\u6bcf\u500b epoch \u4e2d\u55ae\u500b\u8f38\u5165\u5716\u50cf\u7684\u91cd\u8907\u6b21\u6578\uff1b \u50c5\u7528\u65bc\u986f\u793a epoch \u6578\",\r\n    \"Save an csv containing the loss to log directory every N steps, 0 to disable\": \"\u6bcf N \u6b65\u5132\u5b58\u4e00\u500b\u5305\u542b loss \u7684CSV\u8868\u683c\u5230\u65e5\u8a8c\u76ee\u9304\uff0c0 \u8868\u793a\u7981\u7528\",\r\n    \"Use cross attention optimizations while training\": \"\u8a13\u7df4\u6642\u958b\u555f cross attention \u6700\u4f73\u5316\",\r\n    \"Stable Diffusion\": \"Stable Diffusion\",\r\n    \"Checkpoints to cache in RAM\": \"\u5feb\u53d6\u5728\u5167\u5b58\uff08RAM\uff09\u4e2d\u7684\u6a21\u578b\u6b0a\u91cd\u5b58\u6a94\u9ede\",\r\n    \"SD VAE\": \"\u6a21\u578b\u7684VAE\",\r\n    \"auto\": \"\u81ea\u52d5\",\r\n    \"Hypernetwork strength\": \"\u8d85\u7db2\u8def\uff08Hypernetwork\uff09\u5f37\u5ea6\",\r\n    \"Inpainting conditioning mask strength\": \"\u5c40\u90e8\u91cd\u7e6a\u6642\u5716\u50cf\u8abf\u7bc0\u7684\u8499\u7248\u5c4f\u853d\u5f37\u5ea6\",\r\n    \"Apply color correction to img2img results to match original colors.\": \"\u5c0d\u5716\u751f\u5716\u7d50\u679c\u5957\u7528\u984f\u8272\u6821\u6b63\u4ee5\u5339\u914d\u539f\u59cb\u984f\u8272\",\r\n    \"With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).\": \"\u5728\u9032\u884c\u5716\u751f\u5716\u7684\u6642\u5019\uff0c\u78ba\u5207\u5730\u57f7\u884c\u6ed1\u584a\u6307\u5b9a\u7684\u758a\u4ee3\u6b65\u6578\uff08\u6b63\u5e38\u60c5\u6cc1\u4e0b\u66f4\u5f31\u7684\u91cd\u7e6a\u5e45\u5ea6\u9700\u8981\u66f4\u5c11\u7684\u758a\u4ee3\u6b65\u6578\uff09\",\r\n    \"Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.\": \"\u5728 K \u63a1\u6a23\u5668\u4e2d\u555f\u7528\u91cf\u5316\u4ee5\u7372\u5f97\u66f4\u6e05\u6670\uff0c\u66f4\u6e05\u6670\u7684\u7d50\u679c\u3002\u9019\u53ef\u80fd\u6703\u6539\u8b8a\u73fe\u6709\u7684\u96a8\u6a5f\u7a2e\u5b50\u3002\u9700\u8981\u91cd\u65b0\u555f\u52d5\u624d\u80fd\u5957\u7528\",\r\n    \"Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention\": \"\u5f37\u8abf\u7b26\uff1a\u4f7f\u7528 (\u6587\u5b57) \u4f7f\u6a21\u578b\u66f4\u95dc\u6ce8\u8a72\u6587\u672c\uff0c\u4f7f\u7528 [\u6587\u5b57] \u4f7f\u5176\u6e1b\u5c11\u95dc\u6ce8\",\r\n    \"Use old emphasis implementation. Can be useful to reproduce old seeds.\": \"\u4f7f\u7528\u820a\u7684\u5f37\u8abf\u7b26\u5be6\u4f5c\u3002\u53ef\u7528\u65bc\u5fa9\u73fe\u820a\u96a8\u6a5f\u7a2e\u5b50\",\r\n    \"Make K-diffusion samplers produce same images in a batch as when making a single image\": \"\u4f7f K-diffusion \u63a1\u6a23\u5668\u6279\u91cf\u751f\u6210\u8207\u751f\u6210\u55ae\u500b\u5716\u50cf\u6642\uff0c\u7522\u51fa\u76f8\u540c\u7684\u5716\u50cf\",\r\n    \"Increase coherency by padding from the last comma within n tokens when using more than 75 tokens\": \"\u7576\u4f7f\u7528\u8d85\u904e 75 \u500b token \u6642\uff0c\u901a\u904e\u5f9e n \u500b token \u4e2d\u7684\u6700\u5f8c\u4e00\u500b\u9017\u865f\u586b\u88dc\u4f86\u63d0\u9ad8\u4e00\u81f4\u6027\",\r\n    \"Filter NSFW content\": \"\u904e\u6ffe\u6210\u4eba\u5167\u5bb9\",\r\n    \"Stop At last layers of CLIP model\": \"\u5728 CLIP \u6a21\u578b\u7684\u6700\u5f8c\u54ea\u4e00\u5c64\u505c\u4e0b\",\r\n    \"Interrogate Options\": \"\u53cd\u63a8\u63d0\u793a\u8a5e\u9078\u9805\",\r\n    \"Interrogate: keep models in VRAM\": \"\u53cd\u63a8\uff1a \u5c07\u6a21\u578b\u5132\u5b58\u5728\u986f\u5b58\uff08VRAM\uff09\u4e2d\",\r\n    \"Interrogate: use artists from artists.csv\": \"\u53cd\u63a8\uff1a \u4f7f\u7528 artists.csv \u4e2d\u7684\u85dd\u8853\u5bb6\",\r\n    \"Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).\": \"\u53cd\u63a8\uff1a \u5728\u751f\u6210\u7d50\u679c\u4e2d\u5305\u542b\u8207\u6a21\u578b\u6a19\u8a18\u76f8\u5339\u914d\u7684\u7b49\u7d1a\uff08\u5c0d\u57fa\u65bc\u751f\u6210\u81ea\u7136\u8a9e\u8a00\u63cf\u8ff0\u7684\u53cd\u63a8\u6c92\u6709\u5f71\u97ff\uff09\",\r\n    \"Interrogate: num_beams for BLIP\": \"\u53cd\u63a8\uff1a BLIP \u7684 num_beams\",\r\n    \"Interrogate: minimum description length (excluding artists, etc..)\": \"\u53cd\u63a8\uff1a \u6700\u5c0f\u63cf\u8ff0\u9577\u5ea6\uff08\u4e0d\u5305\u62ec\u85dd\u8853\u5bb6\uff0c\u7b49\u2026\uff09\",\r\n    \"Interrogate: maximum description length\": \"\u53cd\u63a8\uff1a \u6700\u5927\u63cf\u8ff0\u9577\u5ea6\",\r\n    \"CLIP: maximum number of lines in text file (0 = No limit)\": \"CLIP\uff1a \u6587\u672c\u6a94\u6848\u4e2d\u7684\u6700\u5927\u884c\u6578\uff080 = \u7121\u9650\u5236\uff09\",\r\n    \"Interrogate: deepbooru score threshold\": \"\u53cd\u63a8\uff1a deepbooru \u5206\u6578\u95be\u503c\",\r\n    \"Interrogate: deepbooru sort alphabetically\": \"\u53cd\u63a8\uff1a deepbooru \u6309\u5b57\u6bcd\u9806\u5e8f\u6392\u5e8f\",\r\n    \"use spaces for tags in deepbooru\": \"\u5728 deepbooru \u4e2d\u70ba\u6a19\u8a18\u4f7f\u7528\u7a7a\u683c\",\r\n    \"escape (\\\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)\": \"\u5728 deepbooru \u4e2d\u4f7f\u7528\u8f49\u7fa9 (\\\\) \u62ec\u865f\uff08\u56e0\u6b64\u5b83\u5011\u7528\u4f5c\u6587\u5b57\u62ec\u865f\u800c\u4e0d\u662f\u5f37\u8abf\u7b26\u865f\uff09\",\r\n    \"User interface\": \"\u4f7f\u7528\u8005\u4ecb\u9762\",\r\n    \"Show progressbar\": \"\u986f\u793a\u9032\u5ea6\u5217\",\r\n    \"Show image creation progress every N sampling steps. Set 0 to disable.\": \"\u6bcf N \u500b\u63a1\u6a23\u758a\u4ee3\u6b65\u6578\u986f\u793a\u5716\u50cf\u751f\u6210\u9032\u5ea6\u3002\u8a2d\u5b9a 0 \u7981\u7528\",\r\n    \"Show previews of all images generated in a batch as a grid\": \"\u4ee5\u7db2\u683c\u7684\u5f62\u5f0f\uff0c\u9810\u89bd\u6279\u91cf\u751f\u6210\u7684\u6240\u6709\u5716\u50cf\",\r\n    \"Show grid in results for web\": \"\u5728\u7db2\u9801\u7684\u7d50\u679c\u4e2d\u986f\u793a\u5bae\u683c\u5716\",\r\n    \"Do not show any images in results for web\": \"\u4e0d\u5728\u7db2\u9801\u7684\u7d50\u679c\u4e2d\u986f\u793a\u4efb\u4f55\u5716\u50cf\",\r\n    \"Add model hash to generation information\": \"\u5c07\u6a21\u578b\u7684\u96dc\u6e4a\u503c\u52a0\u5165\u5230\u751f\u6210\u8cc7\u8a0a\",\r\n    \"Add model name to generation information\": \"\u5c07\u6a21\u578b\u540d\u7a31\u52a0\u5165\u5230\u751f\u6210\u8cc7\u8a0a\",\r\n    \"When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model\/checkpoint.\": \"\u5f9e\u6587\u672c\u8b80\u53d6\u751f\u6210\u53c3\u6578\u5230\u4f7f\u7528\u8005\u4ecb\u9762\uff08\u5f9e PNG \u5716\u7247\u8cc7\u8a0a\u6216\u7c98\u8cbc\u6587\u672c\uff09\u6642\uff0c\u4e0d\u8981\u66f4\u6539\u9078\u5b9a\u7684\u6a21\u578b\u6b0a\u91cd\u5b58\u6a94\u9ede\",\r\n    \"Send seed when sending prompt or image to other interface\": \"\u5c07\u63d0\u793a\u8a5e\u6216\u8005\u5716\u7247\u767c\u9001\u5230 &gt;&gt; \u5176\u4ed6\u754c\u9762\u6642\uff0c\u628a\u96a8\u6a5f\u7a2e\u5b50\u4e5f\u50b3\u9001\u904e\u53bb\",\r\n    \"Font for image grids that have text\": \"\u6709\u6587\u5b57\u7684\u5bae\u683c\u5716\u4f7f\u7528\u7684\u5b57\u9ad4\",\r\n    \"Enable full page image viewer\": \"\u555f\u7528\u6574\u9801\u5716\u50cf\u6aa2\u8996\u5668\",\r\n    \"Show images zoomed in by default in full page image viewer\": \"\u5728\u6574\u9801\u5716\u50cf\u6aa2\u8996\u5668\u4e2d\uff0c\u9810\u8a2d\u653e\u5927\u986f\u793a\u5716\u50cf\",\r\n    \"Show generation progress in window title.\": \"\u5728\u8996\u7a97\u6a19\u984c\u4e2d\u986f\u793a\u751f\u6210\u9032\u5ea6\",\r\n    \"Quicksettings list\": \"\u5feb\u901f\u8a2d\u5b9a\u5217\u8868\",\r\n    \"Localization (requires restart)\": \"\u672c\u5730\u5316\u7ffb\u8b6f\uff08\u9700\u8981\u5132\u5b58\u8a2d\u5b9a\uff0c\u4e26\u91cd\u555fGradio\uff09\",\r\n    \"Sampler parameters\": \"\u63a1\u6a23\u5668\u53c3\u6578\",\r\n    \"Hide samplers in user interface (requires restart)\": \"\u5728\u4f7f\u7528\u8005\u4ecb\u9762\u4e2d\u96b1\u85cf\u63a1\u6a23\u5668\uff08\u9700\u8981\u91cd\u65b0\u555f\u52d5\uff09\",\r\n    \"eta (noise multiplier) for DDIM\": \"DDIM \u7684 eta \uff08\u566a\u8072\u4e58\u6578\uff09\",\r\n    \"eta (noise multiplier) for ancestral samplers\": \"ancestral \u63a1\u6a23\u5668\u7684 eta \uff08\u566a\u8072\u4e58\u6578\uff09\",\r\n    \"img2img DDIM discretize\": \"\u5716\u751f\u5716 DDIM \u96e2\u6563\u5316\",\r\n    \"uniform\": \"\u5747\u52fb\",\r\n    \"quad\": \"\u4e8c\u968e\",\r\n    \"sigma churn\": \"sigma churn\",\r\n    \"sigma tmin\": \"\u6700\u5c0f(tmin) sigma\",\r\n    \"sigma noise\": \"sigma \u566a\u8072\",\r\n    \"Eta noise seed delta\": \"Eta \u566a\u8072\u7a2e\u5b50\u504f\u79fb\uff08ENSD\uff09\",\r\n    \"Images Browser\": \"\u5716\u5eab\u700f\u89bd\u5668\",\r\n    \"Preload images at startup\": \"\u5728\u555f\u52d5\u6642\u9810\u52a0\u8f09\u5716\u50cf\",\r\n    \"Number of columns on the page\": \"\u6bcf\u9801\u5217\u6578\",\r\n    \"Number of rows on the page\": \"\u6bcf\u9801\u884c\u6578\",\r\n    \"Number of pictures displayed on each page\": \"\u6bcf\u9801\u986f\u793a\u7684\u5716\u50cf\u6578\u91cf\",\r\n    \"Minimum number of pages per load\": \"\u6bcf\u6b21\u8f09\u5165\u7684\u6700\u5c0f\u9801\u6578\",\r\n    \"Number of grids in each row\": \"\u6bcf\u884c\u986f\u793a\u591a\u5c11\u683c\",\r\n    \"Wildcards\": \"\u842c\u7528\u5b57\u5143\",\r\n    \"Use same seed for all images\": \"\u70ba\u6240\u6709\u5716\u50cf\u4f7f\u7528\u540c\u4e00\u500b\u96a8\u6a5f\u7a2e\u5b50\",\r\n    \"Request browser notifications\": \"\u8acb\u6c42\u700f\u89bd\u5668\u901a\u77e5\",\r\n    \"Download localization template\": \"\u4e0b\u8f09\u672c\u5730\u5316\u6a21\u677f\",\r\n    \"Reload custom script bodies (No ui updates, No restart)\": \"\u91cd\u65b0\u8f09\u5165\u81ea\u8a02\u6307\u4ee4\u78bc\u4e3b\u9ad4\uff08\u7121\u4f7f\u7528\u8005\u4ecb\u9762\u66f4\u65b0\uff0c\u7121\u91cd\u555f\uff09\",\r\n    \"Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)\": \"\u91cd\u555f Gradio \u53ca\u5237\u65b0\u7d44\u4ef6\uff08\u50c5\u9650\u81ea\u8a02\u6307\u4ee4\u78bc\uff0cui.py\uff0cJS \u548c CSS\uff09\",\r\n    \"Available\": \"\u53ef\u7528\",\r\n    \"Install from URL\": \"\u5f9e\u7db2\u5740\u5b89\u88dd\",\r\n    \"Apply and restart UI\": \"\u61c9\u7528\u4e26\u91cd\u555f\u4f7f\u7528\u8005\u4ecb\u9762\",\r\n    \"Check for updates\": \"\u6aa2\u67e5\u66f4\u65b0\",\r\n    \"Extension\": \"\u64f4\u5145\",\r\n    \"URL\": \"\u7db2\u5740\",\r\n    \"Update\": \"\u66f4\u65b0\",\r\n    \"a1111-sd-webui-tagcomplete\": \"\u6a19\u8a18\u81ea\u52d5\u88dc\u5168\",\r\n    \"unknown\": \"\u672a\u77e5\",\r\n    \"deforum-for-automatic1111-webui\": \"Deforum\",\r\n    \"sd-dynamic-prompting\": \"\u52d5\u614b\u63d0\u793a\u8a5e\",\r\n    \"stable-diffusion-webui-aesthetic-gradients\": \"\u7f8e\u8853\u98a8\u683c\u68af\u5ea6\",\r\n    \"stable-diffusion-webui-aesthetic-image-scorer\": \"\u7f8e\u8853\u98a8\u683c\u8a55\u7b49\",\r\n    \"stable-diffusion-webui-artists-to-study\": \"\u85dd\u8853\u5bb6\u5716\u5eab\",\r\n    \"stable-diffusion-webui-dataset-tag-editor\": \"\u8cc7\u6599\u96c6\u6a19\u8a18\u7de8\u8f2f\u5668\",\r\n    \"stable-diffusion-webui-images-browser\": \"\u5716\u5eab\u700f\u89bd\u5668\",\r\n    \"stable-diffusion-webui-inspiration\": \"\u9748\u611f\",\r\n    \"stable-diffusion-webui-wildcards\": \"\u842c\u7528\u5b57\u5143\",\r\n    \"Load from:\": \"\u8f09\u5165\u81ea\",\r\n    \"Extension index URL\": \"\u64f4\u5145\u6e05\u55ae\u9023\u7d50\",\r\n    \"URL for extension's git repository\": \"\u64f4\u5145\u7684 git \u5009\u5eab\u9023\u7d50\",\r\n    \"Local directory name\": \"\u672c\u5730\u8def\u5f91\u540d\",\r\n    \"Prompt (press Ctrl+Enter or Alt+Enter to generate)\": \"\u63d0\u793a\u8a5e\uff08\u6309 Ctrl+Enter \u6216 Alt+Enter \u751f\u6210\uff09\",\r\n    \"Negative prompt (press Ctrl+Enter or Alt+Enter to generate)\": \"\u53cd\u5411\u63d0\u793a\u8a5e\uff08\u6309 Ctrl+Enter \u6216 Alt+Enter \u751f\u6210\uff09\",\r\n    \"Add a random artist to the prompt.\": \"\u96a8\u6a5f\u52a0\u5165\u4e00\u500b\u85dd\u8853\u5bb6\u5230\u63d0\u793a\u8a5e\u4e2d\",\r\n    \"Read generation parameters from prompt or last generation if prompt is empty into user interface.\": \"\u5f9e\u63d0\u793a\u8a5e\u4e2d\u8b80\u53d6\u751f\u6210\u53c3\u6578\uff0c\u5982\u679c\u63d0\u793a\u8a5e\u70ba\u7a7a\uff0c\u5247\u8b80\u53d6\u4e0a\u4e00\u6b21\u7684\u751f\u6210\u53c3\u6578\u5230\u4f7f\u7528\u8005\u4ecb\u9762\",\r\n    \"Save style\": \"\u5b58\u5132\u70ba\u6a21\u677f\u98a8\u683c\",\r\n    \"Apply selected styles to current prompt\": \"\u5c07\u6240\u9078\u6a23\u5f0f\u5957\u7528\u65bc\u7576\u524d\u63d0\u793a\",\r\n    \"Stop processing current image and continue processing.\": \"\u505c\u6b62\u8655\u7406\u7576\u524d\u5716\u50cf\uff0c\u4e26\u7e7c\u7e8c\u8655\u7406\u4e0b\u4e00\u500b\",\r\n    \"Stop processing images and return any results accumulated so far.\": \"\u505c\u6b62\u8655\u7406\u5716\u50cf\uff0c\u4e26\u8fd4\u56de\u8fc4\u4eca\u70ba\u6b62\u7d2f\u7a4d\u7684\u4efb\u4f55\u7d50\u679c\",\r\n    \"Style to apply; styles have components for both positive and negative prompts and apply to both\": \"\u8981\u5957\u7528\u7684\u6a21\u7248\u98a8\u683c\uff1b \u6a21\u7248\u98a8\u683c\u5305\u542b\u6b63\u5411\u548c\u53cd\u5411\u63d0\u793a\u8a5e\uff0c\u4e26\u5957\u7528\u65bc\u5169\u8005\",\r\n    \"Do not do anything special\": \"\u4ec0\u9ebc\u90fd\u4e0d\u505a\",\r\n    \"Which algorithm to use to produce the image\": \"\u4f7f\u7528\u54ea\u7a2e\u6f14\u7b97\u6cd5\u751f\u6210\u5716\u50cf\",\r\n    \"Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help\": \"Euler Ancestral - \u975e\u5e38\u6709\u5275\u610f\uff0c\u53ef\u4ee5\u6839\u64da\u758a\u4ee3\u6b65\u6578\u7372\u5f97\u5b8c\u5168\u4e0d\u540c\u7684\u5716\u50cf\uff0c\u5c07\u758a\u4ee3\u6b65\u6578\u8a2d\u5b9a\u70ba\u9ad8\u65bc 30-40 \u4e0d\u6703\u6709\u6b63\u9762\u4f5c\u7528\",\r\n    \"Denoising Diffusion Implicit Models - best at inpainting\": \"Denoising Diffusion Implicit models - \u6700\u64c5\u9577\u5c40\u90e8\u91cd\u7e6a\",\r\n    \"Produce an image that can be tiled.\": \"\u751f\u6210\u53ef\u7528\u65bc\u5e73\u8216\u7684\u5716\u50cf\",\r\n    \"Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition\": \"\u4f7f\u7528\u5169\u6b65\u8655\u7406\u7684\u6642\u5019\uff0c\u4ee5\u8f03\u5c0f\u7684\u89e3\u6790\u5ea6\u751f\u6210\u521d\u6b65\u5716\u50cf\uff0c\u63a5\u8457\u653e\u5927\u5716\u50cf\uff0c\u7136\u5f8c\u5728\u4e0d\u66f4\u6539\u69cb\u5716\u7684\u60c5\u6cc1\u4e0b\u6539\u9032\u5176\u4e2d\u7684\u7d30\u7bc0\",\r\n    \"Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.\": \"\u6c7a\u5b9a\u6f14\u7b97\u6cd5\u5c0d\u5716\u50cf\u5167\u5bb9\u7684\u5f71\u97ff\u7a0b\u5ea6\u3002\u8a2d\u5b9a 0 \u6642\uff0c\u4ec0\u9ebc\u90fd\u4e0d\u6703\u6539\u8b8a\uff0c\u800c\u5728 1 \u6642\uff0c\u4f60\u5c07\u7372\u5f97\u4e0d\u76f8\u95dc\u7684\u5716\u50cf\u3002\\n\u503c\u4f4e\u65bc 1.0 \u6642\uff0c\u8655\u7406\u7684\u758a\u4ee3\u6b65\u6578\u5c07\u5c11\u65bc\u300c\u63a1\u6a23\u758a\u4ee3\u6b65\u6578\u300d\u6ed1\u584a\u6307\u5b9a\u7684\u6b65\u6578\",\r\n    \"How many batches of images to create\": \"\u5efa\u7acb\u591a\u5c11\u6279\u6b21\u7684\u5716\u50cf\",\r\n    \"How many image to create in a single batch\": \"\u6bcf\u6279\u5efa\u7acb\u591a\u5c11\u5716\u50cf\",\r\n    \"Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results\": \"Classifier Free Guidance Scale - \u5716\u50cf\u61c9\u5728\u591a\u5927\u7a0b\u5ea6\u4e0a\u670d\u5f9e\u63d0\u793a\u8a5e - \u8f03\u4f4e\u7684\u503c\u6703\u7522\u751f\u66f4\u6709\u5275\u610f\u7684\u7d50\u679c\",\r\n    \"A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result\": \"\u4e00\u500b\u56fa\u5b9a\u96a8\u6a5f\u6578\u751f\u6210\u5668\u8f38\u51fa\u7684\u503c \u2014 \u4ee5\u76f8\u540c\u53c3\u6578\u548c\u96a8\u6a5f\u7a2e\u5b50\u751f\u6210\u7684\u5716\u50cf\u6703\u5f97\u5230\u76f8\u540c\u7684\u7d50\u679c\",\r\n    \"Set seed to -1, which will cause a new random number to be used every time\": \"\u5c07\u96a8\u6a5f\u7a2e\u5b50\u8a2d\u5b9a\u70ba-1\uff0c\u5247\u6bcf\u6b21\u90fd\u6703\u4f7f\u7528\u4e00\u500b\u65b0\u7684\u96a8\u6a5f\u6578\",\r\n    \"Reuse seed from last generation, mostly useful if it was randomed\": \"\u91cd\u7528\u4e0a\u4e00\u6b21\u4f7f\u7528\u7684\u96a8\u6a5f\u7a2e\u5b50\uff0c\u5982\u679c\u60f3\u8981\u56fa\u5b9a\u7d50\u679c\u5c31\u6703\u5f88\u6709\u7528\",\r\n    \"Seed of a different picture to be mixed into the generation.\": \"\u5c07\u8981\u53c3\u8207\u751f\u6210\u7684\u53e6\u4e00\u5f35\u5716\u7684\u96a8\u6a5f\u7a2e\u5b50\",\r\n    \"How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).\": \"\u60f3\u8981\u7522\u751f\u591a\u5f37\u70c8\u7684\u8b8a\u5316\u3002\u8a2d\u70ba 0 \u6642\uff0c\u5c07\u6c92\u6709\u6548\u679c\u3002\u8a2d\u70ba 1 \u6642\uff0c\u4f60\u5c07\u7372\u5f97\u5b8c\u5168\u7522\u81ea\u5dee\u7570\u96a8\u6a5f\u7a2e\u5b50\u7684\u5716\u50cf\uff08ancestral \u63a1\u6a23\u5668\u9664\u5916\uff0c\u4f60\u53ea\u662f\u55ae\u7d14\u5730\u751f\u6210\u4e86\u4e00\u4e9b\u6771\u897f\uff09\",\r\n    \"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution\": \"\u5617\u8a66\u751f\u6210\u8207\u5728\u6307\u5b9a\u89e3\u6790\u5ea6\u4e0b\u4f7f\u7528\u76f8\u540c\u96a8\u6a5f\u7a2e\u5b50\u751f\u6210\u7684\u5716\u50cf\u76f8\u4f3c\u7684\u5716\u7247\",\r\n    \"This text is used to rotate the feature space of the imgs embs\": \"\u6b64\u6587\u672c\u7528\u65bc\u65cb\u8f49\u5716\u96c6 embeddings \u7684\u7279\u5fb5\u7a7a\u9593\",\r\n    \"Separate values for X axis using commas.\": \"\u4f7f\u7528\u9017\u865f\u5206\u9694 X \u8ef8\u7684\u503c\",\r\n    \"Separate values for Y axis using commas.\": \"\u4f7f\u7528\u9017\u865f\u5206\u9694 Y \u8ef8\u7684\u503c\",\r\n    \"Write image to a directory (default - log\/images) and generation parameters into csv file.\": \"\u5c07\u5716\u50cf\u5beb\u5165\u76ee\u9304\uff08\u9810\u8a2d \u2014 log\/images\uff09\u4e26\u5c07\u751f\u6210\u53c3\u6578\u5beb\u5165CSV\u8868\u683c\u6a94\u6848\",\r\n    \"Open images output directory\": \"\u6253\u958b\u5716\u50cf\u8f38\u51fa\u76ee\u9304\",\r\n    \"How much to blur the mask before processing, in pixels.\": \"\u8655\u7406\u524d\u8981\u5c0d\u8499\u7248\u9032\u884c\u591a\u5f37\u7684\u6a21\u7cca\uff0c\u4ee5\u756b\u7d20\u70ba\u55ae\u4f4d\",\r\n    \"What to put inside the masked area before processing it with Stable Diffusion.\": \"\u5728\u4f7f\u7528 Stable Diffusion \u8655\u7406\u8499\u7248\u5340\u57df\u4e4b\u524d\u8981\u5728\u8499\u7248\u5340\u57df\u5167\u653e\u7f6e\u4ec0\u9ebc\",\r\n    \"fill it with colors of the image\": \"\u7528\u5716\u50cf\u7684\u984f\u8272\uff08\u9ad8\u5f37\u5ea6\u6a21\u7cca\uff09\u586b\u5145\u5b83\",\r\n    \"keep whatever was there originally\": \"\u4fdd\u7559\u539f\u4f86\u7684\u5716\u50cf\uff0c\u4e0d\u9032\u884c\u9810\u8655\u7406\",\r\n    \"fill it with latent space noise\": \"\u65bc\u6f5b\u7a7a\u9593\u586b\u5145\u566a\u8072\",\r\n    \"fill it with latent space zeroes\": \"\u65bc\u6f5b\u7a7a\u9593\u586b\u96f6\",\r\n    \"Upscale masked region to target resolution, do inpainting, downscale back and paste into original image\": \"\u5c07\u8499\u7248\u5340\u57df\uff08\u5305\u62ec\u9810\u7559\u756b\u7d20\u9577\u5ea6\u7684\u7de9\u885d\u5340\u57df\uff09\u653e\u5927\u5230\u76ee\u6a19\u89e3\u6790\u5ea6\uff0c\u9032\u884c\u5c40\u90e8\u91cd\u7e6a\u3002\\n\u7136\u5f8c\u7e2e\u5c0f\u4e26\u7c98\u8cbc\u56de\u539f\u59cb\u5716\u50cf\u4e2d\",\r\n    \"Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.\": \"\u5c07\u5716\u50cf\u5927\u5c0f\u8abf\u6574\u70ba\u76ee\u6a19\u89e3\u6790\u5ea6\u3002\u9664\u975e\u9ad8\u5ea6\u548c\u5bec\u5ea6\u5339\u914d\uff0c\u5426\u5247\u4f60\u5c07\u7372\u5f97\u4e0d\u6b63\u78ba\u7684\u7e31\u6a6b\u6bd4\",\r\n    \"Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.\": \"\u8abf\u6574\u5716\u50cf\u5927\u5c0f\uff0c\u4f7f\u6574\u500b\u76ee\u6a19\u89e3\u6790\u5ea6\u90fd\u88ab\u5716\u50cf\u586b\u5145\u3002\u88c1\u526a\u591a\u51fa\u4f86\u7684\u90e8\u5206\",\r\n    \"Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.\": \"\u8abf\u6574\u5716\u50cf\u5927\u5c0f\uff0c\u4f7f\u6574\u500b\u5716\u50cf\u5728\u76ee\u6a19\u89e3\u6790\u5ea6\u5167\u3002\u7528\u5716\u50cf\u7684\u984f\u8272\u586b\u5145\u7a7a\u767d\u5340\u57df\",\r\n    \"How many times to repeat processing an image and using it as input for the next iteration\": \"\u91cd\u8907\u8655\u7406\u5716\u50cf\u4e26\u7528\u4f5c\u4e0b\u6b21\u758a\u4ee3\u8f38\u5165\u7684\u6b21\u6578\",\r\n    \"In loopback mode, on each loop the denoising strength is multiplied by this value. &lt;1 means decreasing variety so your sequence will converge on a fixed picture. &gt;1 means increasing variety so your sequence will become more and more chaotic.\": \"\u5728\u56de\u9001\u6a21\u5f0f\u4e0b\uff0c\u5728\u6bcf\u500b\u5faa\u74b0\u4e2d\uff0c\u91cd\u7e6a\u5e45\u5ea6\u90fd\u6703\u4e58\u4ee5\u8a72\u503c\u3002&lt;1 \u8868\u793a\u6e1b\u5c11\u591a\u6a23\u6027\uff0c\u56e0\u6b64\u4f60\u7684\u9019\u4e00\u7d44\u5716\u5c07\u96c6\u4e2d\u5728\u56fa\u5b9a\u7684\u5716\u50cf\u4e0a\u3002&gt;1 \u610f\u5473\u8457\u589e\u52a0\u591a\u6a23\u6027\uff0c\u56e0\u6b64\u4f60\u7684\u9019\u4e00\u7d44\u5716\u5c07\u8b8a\u5f97\u8d8a\u4f86\u8d8a\u6df7\u4e82\",\r\n    \"For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.\": \"\u4f7f\u7528 SD \u653e\u5927\u6642\uff0c\u5716\u584a\u4e4b\u9593\u61c9\u8a72\u6709\u591a\u5c11\u756b\u7d20\u91cd\u758a\u3002\u5716\u584a\u4e4b\u9593\u9700\u8981\u91cd\u758a\u624d\u53ef\u4ee5\u8b93\u5b83\u5011\u5728\u5408\u4f75\u56de\u4e00\u5f35\u5716\u50cf\u6642\uff0c\u6c92\u6709\u6e05\u6670\u53ef\u898b\u7684\u63a5\u7e2b\",\r\n    \"A directory on the same machine where the server is running.\": \"\u8207\u4f3a\u670d\u5668\u4e3b\u6a5f\u4e0a\u7684\u76ee\u9304\",\r\n    \"Leave blank to save images to the default path.\": \"\u7559\u7a7a\u4ee5\u5c07\u5716\u50cf\u5132\u5b58\u5230\u9810\u8a2d\u8def\u5f91\",\r\n    \"Result = A * (1 - M) + B * M\": \"\u7d50\u679c = A * (1 - M) + B * M\",\r\n    \"Result = A + (B - C) * M\": \"\u7d50\u679c = A + (B - C) * M\",\r\n    \"1st and last digit must be 1. ex:'1, 2, 1'\": \"\u7b2c\u4e00\u500b\u548c\u6700\u5f8c\u4e00\u500b\u6578\u5b57\u5fc5\u9808\u662f 1\u3002\u4f8b\uff1a'1, 2, 1'\",\r\n    \"how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and\/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\\n\\nYou can set a single numeric value, or multiple learning rates using the syntax:\\n\\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\\n\\nEG:   0.005:100, 1e-3:1000, 1e-5\\n\\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.\": \"\u8a13\u7df4\u61c9\u8a72\u591a\u5feb\u3002\u4f4e\u503c\u5c07\u9700\u8981\u66f4\u9577\u7684\u6642\u9593\u4f86\u8a13\u7df4\uff0c\u9ad8\u503c\u53ef\u80fd\u7121\u6cd5\u6536\u6582\uff08\u7121\u6cd5\u7522\u751f\u6e96\u78ba\u7684\u7d50\u679c\uff09\u4ee5\u53ca\uff0f\u4e5f\u8a31\u53ef\u80fd\u6703\u7834\u58de embedding\uff08\u5982\u679c\u4f60\u5728\u8a13\u7df4\u8cc7\u8a0a\u6587\u5b57\u65b9\u584a\u4e2d\u770b\u5230 Loss: nan \u5c31\u6703\u767c\u751f\u9019\u7a2e\u60c5\u6cc1\u3002\u5982\u679c\u767c\u751f\u9019\u7a2e\u60c5\u6cc1\uff0c\u4f60\u9700\u8981\u5f9e\u8f03\u820a\u7684\u672a\u640d\u58de\u7684\u5099\u4efd\u624b\u52d5\u6062\u5fa9 embedding\uff09\\n\\n\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8a9e\u6cd5\u8a2d\u5b9a\u55ae\u500b\u6578\u503c\u6216\u591a\u500b\u5b78\u7fd2\u7387\uff1a\\n\\n   \u73871:\u6b65\u96501, \u73872:\u6b65\u96502, \u2026\\n\\n\u5982\uff1a   0.005:100, 1e-3:1000, 1e-5\\n\\n\u5373\u524d 100 \u6b65\u5c07\u4ee5 0.005 \u7684\u901f\u7387\u8a13\u7df4\uff0c\u63a5\u8457\u76f4\u5230 1000 \u6b65\u70ba\u6b62\u4ee5 1e-3 \u8a13\u7df4\uff0c\u7136\u5f8c\u5269\u9918\u6240\u6709\u6b65\u4ee5 1e-5 \u8a13\u7df4\",\r\n    \"Path to directory with input images\": \"\u5e36\u6709\u8f38\u5165\u5716\u50cf\u7684\u8def\u5f91\",\r\n    \"Path to directory where to write outputs\": \"\u9032\u884c\u8f38\u51fa\u7684\u8def\u5f91\",\r\n    \"Input images directory\": \"\u8f38\u5165\u5716\u50cf\u76ee\u9304\",\r\n    \"Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime&lt;Format&gt;], [datetime&lt;Format&gt;&lt;Time Zone&gt;], [job_timestamp]; leave empty for default.\": \"\u4f7f\u7528\u4ee5\u4e0b\u6a19\u8a18\u5b9a\u7fa9\u5982\u4f55\u9078\u64c7\u5716\u50cf\u7684\u6a94\u6848\u540d\uff1a [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime&lt;Format&gt;], [datetime&lt;Format&gt;&lt;Time Zone&gt;], [job_timestamp]\uff1b \u9810\u8a2d\u8acb\u7559\u7a7a\",\r\n    \"If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.\": \"\u5982\u679c\u555f\u7528\u6b64\u9078\u9805\uff0c\u6d6e\u6c34\u5370\u5c07\u4e0d\u6703\u52a0\u5165\u5230\u751f\u6210\u51fa\u4f86\u7684\u5716\u50cf\u4e2d\u3002\u8b66\u544a\uff1a\u5982\u679c\u4f60\u4e0d\u52a0\u5165\u6d6e\u6c34\u5370\uff0c\u4f60\u7684\u884c\u70ba\u53ef\u80fd\u662f\u4e0d\u7b26\u5408\u9053\u5fb7\u64cd\u5b88\u7684\",\r\n    \"Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime&lt;Format&gt;], [datetime&lt;Format&gt;&lt;Time Zone&gt;], [job_timestamp]; leave empty for default.\": \"\u4f7f\u7528\u4ee5\u4e0b\u6a19\u8a18\u5b9a\u7fa9\u5982\u4f55\u9078\u64c7\u5716\u50cf\u548c\u5bae\u683c\u5716\u7684\u5b50\u76ee\u9304\uff1a [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime&lt;Format&gt;], [datetime&lt;Format&gt;&lt;Time Zone&gt;], [job_timestamp]\uff1b \u9810\u8a2d\u8acb\u7559\u7a7a\",\r\n    \"Restore low quality faces using GFPGAN neural network\": \"\u4f7f\u7528 GFPGAN \u795e\u7d93\u7db2\u8def\u4fee\u5fa9\u4f4e\u54c1\u8cea\u9762\u90e8\",\r\n    \"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.\": \"\u6b64\u6b63\u5247\u8868\u9054\u5f0f\u5c07\u7528\u65bc\u5f9e\u6a94\u6848\u540d\u4e2d\u63d0\u53d6\u55ae\u8a5e\uff0c\u4e26\u5c07\u4f7f\u7528\u4ee5\u4e0b\u9078\u9805\u5c07\u5b83\u5011\u63a5\u5408\u5230\u7528\u65bc\u8a13\u7df4\u7684\u6a19\u8a18\u6587\u672c\u4e2d\u3002\u7559\u7a7a\u4ee5\u4fdd\u6301\u6a94\u6848\u540d\u6587\u672c\u4e0d\u8b8a\",\r\n    \"This string will be used to join split words into a single line if the option above is enabled.\": \"\u5982\u679c\u555f\u7528\u4e86\u4e0a\u8ff0\u9078\u9805\uff0c\u5247\u6b64\u8655\u7684\u5b57\u5143\u6703\u7528\u65bc\u5c07\u62c6\u5206\u7684\u55ae\u8a5e\u63a5\u5408\u70ba\u540c\u4e00\u884c\",\r\n    \"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.\": \"\u50c5\u9069\u7528\u65bc\u5c40\u90e8\u91cd\u7e6a\u5c08\u7528\u7684\u6a21\u578b\uff08\u6a21\u578b\u5f8c\u7db4\u70ba inpainting.ckpt \u7684\u6a21\u578b\uff09\u3002\u6c7a\u5b9a\u4e86\u8499\u7248\u5728\u5c40\u90e8\u91cd\u7e6a\u4ee5\u53ca\u5716\u751f\u5716\u4e2d\u5c4f\u853d\u539f\u5716\u5167\u5bb9\u7684\u5f37\u5ea6\u3002 1.0 \u8868\u793a\u5b8c\u5168\u5c4f\u853d\u539f\u5716\uff0c\u9019\u662f\u9810\u8a2d\u884c\u70ba\u3002 0.0 \u8868\u793a\u5b8c\u5168\u4e0d\u5c4f\u853d\u8b93\u539f\u5716\u9032\u884c\u5716\u50cf\u8abf\u7bc0\u3002\u8f03\u4f4e\u7684\u503c\u5c07\u6709\u52a9\u65bc\u4fdd\u6301\u539f\u5716\u7684\u6574\u9ad4\u69cb\u5716\uff0c\u4f46\u5f88\u96e3\u9047\u5230\u8f03\u5927\u7684\u8b8a\u5316\",\r\n    \"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.\": \"\u8a2d\u5b9a\u9805\u540d\u7a31\u5217\u8868\uff0c\u4ee5\u9017\u865f\u5206\u9694\uff0c\u8a72\u8a2d\u5b9a\u6703\u79fb\u52d5\u5230\u9802\u90e8\u7684\u5feb\u901f\u5b58\u53d6\u5217\uff0c\u800c\u4e0d\u662f\u9810\u8a2d\u7684\u8a2d\u5b9a\u9801\u7c64\u3002\u6709\u95dc\u8a2d\u5b9a\u540d\u7a31\uff0c\u8acb\u53c3\u898b modules\/shared.py\u3002\u9700\u8981\u91cd\u65b0\u555f\u52d5\u624d\u80fd\u5957\u7528\",\r\n    \"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.\": \"\u5982\u679c\u9019\u500b\u503c\u4e0d\u70ba\u96f6\uff0c\u5b83\u5c07\u88ab\u52a0\u5165\u5230\u96a8\u6a5f\u7a2e\u5b50\u4e2d\uff0c\u4e26\u5728\u4f7f\u7528\u5e36\u6709 Eta \u7684\u63a1\u6a23\u5668\u6642\u7528\u65bc\u521d\u59cb\u5316\u96a8\u6a5f\u566a\u8072\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u5b83\u4f86\u7522\u751f\u66f4\u591a\u7684\u5716\u50cf\u8b8a\u5316\uff0c\u6216\u8005\u4f60\u53ef\u4ee5\u4f7f\u7528\u5b83\u4f86\u6a21\u4eff\u5176\u4ed6\u8edf\u9ad4\u751f\u6210\u7684\u5716\u50cf\uff0c\u5982\u679c\u4f60\u77e5\u9053\u4f60\u5728\u505a\u4ec0\u9ebc\",\r\n    \"Leave empty for auto\": \"\u7559\u7a7a\u6642\u81ea\u52d5\u751f\u6210\",\r\n    \"Autocomplete options\": \"\u81ea\u52d5\u88dc\u5168\u9078\u9805\",\r\n    \"Enable Autocomplete\": \"\u958b\u555fTag\u88dc\u5168\",\r\n    \"Select which Real-ESRGAN models to show in the web UI. (Requires restart)\": \"\u9078\u64c7\u54ea\u4e9b Real-ESRGAN \u6a21\u578b\u986f\u793a\u5728\u7db2\u9801\u4f7f\u7528\u8005\u4ecb\u9762\u3002\uff08\u9700\u8981\u91cd\u65b0\u555f\u52d5\uff09\",\r\n    \"Allowed categories for random artists selection when using the Roll button\": \"\u4f7f\u7528\u62bd\u9078\u85dd\u8853\u5bb6\u6309\u9215\u6642\u5c07\u6703\u96a8\u6a5f\u7684\u85dd\u8853\u5bb6\u985e\u5225\",\r\n    \"Append commas\": \"\u9644\u52a0\u9017\u865f\",\r\n    \"latest\": \"\u6700\u65b0\",\r\n    \"behind\": \"\u843d\u5f8c\",\r\n    \"Roll three\": \"\u62bd\u4e09\u4f4d\u51fa\u4f86\",\r\n    \"Generate forever\": \"\u7121\u9650\u751f\u6210\",\r\n    \"Cancel generate forever\": \"\u505c\u6b62\u7121\u9650\u751f\u6210\",\r\n    \"How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results\": \"\u758a\u4ee3\u6539\u9032\u751f\u6210\u7684\u5716\u50cf\u591a\u5c11\u6b21\uff1b\u66f4\u9ad8\u7684\u503c\u9700\u8981\u66f4\u9577\u7684\u6642\u9593\uff1b\u975e\u5e38\u4f4e\u7684\u503c\u6703\u7522\u751f\u4e0d\u597d\u7684\u7d50\u679c\",\r\n    \"Draw a mask over an image, and the script will regenerate the masked area with content according to prompt\": \"\u5728\u5716\u50cf\u4e0a\u756b\u4e00\u500b\u8499\u7248\uff0c\u6307\u4ee4\u78bc\u6703\u6839\u64da\u63d0\u793a\u91cd\u65b0\u751f\u6210\u8499\u7248\u5340\u57df\u7684\u5167\u5bb9\",\r\n    \"Upscale image normally, split result into tiles, improve each tile using img2img, merge whole image back\": \"\u6b63\u5e38\u653e\u5927\u5716\u50cf\uff0c\u5c07\u7d50\u679c\u5206\u5272\u6210\u5716\u584a\uff0c\u7528\u5716\u751f\u5716\u6539\u9032\u6bcf\u500b\u5716\u584a\uff0c\u6700\u5f8c\u5c07\u6574\u500b\u5716\u50cf\u5408\u4f75\u56de\u4f86\",\r\n    \"Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows\": \"\u5275\u5efa\u4e00\u500b\u7db2\u683c\uff0c\u5716\u50cf\u5c07\u6709\u4e0d\u540c\u7684\u53c3\u6578\u3002\u4f7f\u7528\u4e0b\u9762\u7684\u8f38\u5165\u4f86\u6307\u5b9a\u54ea\u4e9b\u53c3\u6578\u5c07\u7531\u5217\u548c\u884c\u5171\u4eab\",\r\n    \"Run Python code. Advanced user only. Must run program with --allow-code for this to work\": \"\u57f7\u884c Python \u7a0b\u5f0f\u78bc\u3002\u50c5\u9650\u8001\u624b\u4f7f\u7528\u3002\u5fc5\u9808\u4ee5 --allow-code \u4f86\u958b\u555f\u7a0b\u5f0f\uff0c\u624d\u80fd\u4f7f\u5176\u57f7\u884c\",\r\n    \"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\": \"\u4ee5\u9017\u865f\u5206\u5272\u7684\u55ae\u8a5e\u5217\u8868\uff0c\u7b2c\u4e00\u500b\u55ae\u8a5e\u5c07\u88ab\u7528\u4f5c\u95dc\u9375\u8a5e\uff1a\u6307\u4ee4\u78bc\u5c07\u5728\u63d0\u793a\u8a5e\u4e2d\u641c\u5c0b\u9019\u500b\u55ae\u8a5e\uff0c\u4e26\u7528\u5176\u4ed6\u55ae\u8a5e\u66ff\u63db\u5b83\",\r\n    \"Separate a list of words with commas, and the script will make a variation of prompt with those words for their every possible order\": \"\u4ee5\u9017\u865f\u5206\u5272\u7684\u55ae\u8a5e\u5217\u8868\uff0c\u6307\u4ee4\u78bc\u6703\u6392\u5217\u51fa\u9019\u4e9b\u55ae\u8a5e\u7684\u6240\u6709\u6392\u5217\u65b9\u5f0f\uff0c\u4e26\u52a0\u5165\u63d0\u793a\u8a5e\u5404\u751f\u6210\u4e00\u6b21\",\r\n    \"Reconstruct prompt from existing image and put it into the prompt field.\": \"\u5f9e\u73fe\u6709\u7684\u5716\u50cf\u4e2d\u91cd\u69cb\u51fa\u63d0\u793a\u8a5e\uff0c\u4e26\u5c07\u5176\u653e\u5165\u63d0\u793a\u8a5e\u7684\u8f38\u5165\u6587\u5b57\u65b9\u584a\",\r\n    \"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\": \"\u8a2d\u5b9a\u5728[prompt_words]\u9078\u9805\u4e2d\u8981\u4f7f\u7528\u7684\u6700\u5927\u5b57\u6578\uff1b\u6ce8\u610f\uff1a\u5982\u679c\u5b57\u6578\u592a\u9577\uff0c\u53ef\u80fd\u6703\u8d85\u904e\u7cfb\u7d71\u53ef\u8655\u7406\u7684\u6a94\u6848\u8def\u5f91\u7684\u6700\u5927\u9577\u5ea6\",\r\n    \"Process an image, use it as an input, repeat.\": \"\u8655\u7406\u4e00\u5f35\u5716\u50cf\uff0c\u5c07\u5176\u4f5c\u70ba\u8f38\u5165\uff0c\u4e26\u91cd\u8907\",\r\n    \"Insert selected styles into prompt fields\": \"\u5728\u63d0\u793a\u8a5e\u4e2d\u63d2\u5165\u9078\u5b9a\u7684\u6a21\u7248\u98a8\u683c\",\r\n    \"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.\": \"\u5c07\u7576\u524d\u7684\u63d0\u793a\u8a5e\u5132\u5b58\u70ba\u6a21\u7248\u98a8\u683c\u3002\u5982\u679c\u4f60\u5728\u6587\u672c\u4e2d\u52a0\u5165{prompt}\u6a19\u8a18\uff0c\u90a3\u9ebc\u5c07\u4f86\u4f60\u4f7f\u7528\u8a72\u6a21\u7248\u98a8\u683c\u6642\uff0c\u4f60\u73fe\u6709\u7684\u63d0\u793a\u8a5e\u6703\u66ff\u63db\u6a21\u7248\u98a8\u683c\u4e2d\u7684{prompt}\",\r\n    \"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.\": \"\u5728\u751f\u6210\u5716\u50cf\u4e4b\u524d\u5f9e\u6a21\u578b\u6b0a\u91cd\u5b58\u6a94\u9ede\u4e2d\u8f09\u5165\u6b0a\u91cd\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u54c8\u5e0c\u503c\u6216\u6a94\u6848\u540d\u7684\u4e00\u90e8\u5206\uff08\u5982\u8a2d\u5b9a\u4e2d\u6240\u793a\uff09\u4f5c\u70ba\u6a21\u578b\u6b0a\u91cd\u5b58\u6a94\u9ede\u540d\u7a31\u3002\u5efa\u8b70\u7528\u5728Y\u8ef8\u4e0a\u4ee5\u6e1b\u5c11\u904e\u7a0b\u4e2d\u6a21\u578b\u7684\u5207\u63db\",\r\n    \"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: \u5728\u751f\u6210\u904e\u7a0b\u4e2d\uff0cTorch\u4f7f\u7528\u7684\u986f\u5b58(VRAM)\u5cf0\u503c\uff0c\u4e0d\u5305\u62ec\u5feb\u53d6\u7684\u6578\u64da\u3002\\nTorch reserved: Torch \u5206\u914d\u7684\u986f\u5b58(VRAM)\u7684\u5cf0\u503c\u91cf\uff0c\u5305\u62ec\u6240\u6709\u6d3b\u52d5\u548c\u5feb\u53d6\u6578\u64da\u3002\\nSys VRAM: \u6240\u6709\u61c9\u7528\u7a0b\u5f0f\u5206\u914d\u7684\u986f\u5b58(VRAM)\u7684\u5cf0\u503c\u91cf \/ GPU \u7684\u7e3d\u986f\u5b58(VRAM)\uff08\u5cf0\u503c\u5229\u7528\u7387%\uff09\",\r\n    \"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.\": \"\u653e\u5927\u6f5b\u7a7a\u9593\u4e2d\u7684\u5716\u50cf\u3002\u800c\u53e6\u4e00\u7a2e\u65b9\u6cd5\u662f\uff0c\u5f9e\u6f5b\u8b8a\u91cf\u8868\u9054\u4e2d\u76f4\u63a5\u89e3\u78bc\u4e26\u751f\u6210\u5b8c\u6574\u7684\u5716\u50cf\uff0c\u63a5\u8457\u653e\u5927\u5b83\uff0c\u7136\u5f8c\u518d\u5c07\u5176\u7de8\u78bc\u56de\u6f5b\u7a7a\u9593\",\r\n    \"Start drawing\": \"\u958b\u59cb\u7e6a\u88fd\",\r\n    \"Description\": \"\u63cf\u8ff0\",\r\n    \"Action\": \"\u884c\u52d5\",\r\n    \"Aesthetic Gradients\": \"\u7f8e\u8853\u98a8\u683c\u68af\u5ea6\",\r\n    \"aesthetic-gradients\": \"\u7f8e\u8853\u98a8\u683c\u68af\u5ea6\",\r\n    \"Dynamic Prompts\": \"\u52d5\u614b\u63d0\u793a\u8a5e\",\r\n    \"images-browser\": \"\u5716\u5eab\u700f\u89bd\u5668\",\r\n    \"Inspiration\": \"\u9748\u611f\",\r\n    \"Deforum\": \"Deforum\",\r\n    \"Artists to study\": \"\u85dd\u8853\u5bb6\u5716\u5eab\",\r\n    \"Aesthetic Image Scorer\": \"\u7f8e\u8853\u98a8\u683c\u8a55\u5206\",\r\n    \"Dataset Tag Editor\": \"\u6578\u64da\u96c6\u6a19\u8a18\u7de8\u8f2f\u5668\",\r\n    \"Face restoration model\": \"\u9762\u90e8\u4fee\u5fa9\u6a21\u578b\",\r\n    \"Install\": \"\u5b89\u88dd\",\r\n    \"Installing...\": \"\u5b89\u88dd\u4e2d\u2026\",\r\n    \"Installed\": \"\u5df2\u5b89\u88dd\"\r\n}<\/code><\/pre>\n\n<div style=\"font-size: 0px; height: 0px; line-height: 0px; margin: 0; padding: 0; clear: both;\"><\/div>","protected":false},"excerpt":{"rendered":"<p>Stable Diffusion web UI \u5728\u4e00\u6b21\u7684\u66f4\u65b0\u4e2d\u79fb\u9664\u9810\u8a2d\u7684\u8a9e\u8a00\u5305\uff0c\u539f\u56e0\u662f\u4f3c\u4e4e\u7f3a\u4e4f\u5f8c\u7e8c\u7dad\u8b77\uff0c\u9019\u7576\u4e2d\u4e5f\u5305\u542b\u4e86\u6b63\u9ad4\u4e2d\u6587\uff08\u7e41\u9ad4\u4e2d\u6587\uff09\u8a9e\u8a00\u5305 zh_TW.json\uff0c\u56e0\u6b64\u4f7f\u7528\u8005\u9700\u8981\u5f9e [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":13617,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16,557],"tags":[553],"class_list":["post-13616","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-software-application","category-ai-drawing","tag-stable-diffusion-web-ui"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - 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