{"id":90,"date":"2022-10-16T19:26:36","date_gmt":"2022-10-16T11:26:36","guid":{"rendered":"https:\/\/yanghanwen.cn\/?p=90"},"modified":"2022-10-16T19:26:36","modified_gmt":"2022-10-16T11:26:36","slug":"stablediffusion_03_txt2img","status":"publish","type":"post","link":"https:\/\/yanghanwen.cn\/?p=90","title":{"rendered":"StableDiffusion_03_txt2img"},"content":{"rendered":"<p>\u672c\u6587\u4ecb\u7ecd <a href=\"https:\/\/github.com\/AUTOMATIC1111\/stable-diffusion-webui\/wiki\/Textual-Inversion\">stable-diffusion-webui<\/a> \u5404\u4e2a\u754c\u9762\u7684\u529f\u80fd<\/p>\n<h1>Settings<\/h1>\n<p>\u8fd9\u91cc\u63d2\u961f\u8bb2\u89e3\u4e00\u4e9b\u8bbe\u7f6e\u91cc\u6bd4\u8f83\u91cd\u8981\u7684\u9009\u9879<\/p>\n<h2>StableDiffusion Checkpoint<\/h2>\n<p>\u4e5f\u5c31\u662f\u6211\u4eec\u7684\u6a21\u578b\u6587\u4ef6\uff0c\u9700\u8981\u63d0\u524d\u653e\u7f6e\u5230 <code>models\/Stable-diffusion<\/code><\/p>\n<h3>hypernet<\/h3>\n<p>\u8fd9\u79cd\u6280\u672f\u88ab\u79f0\u4e3a <a href=\"https:\/\/github.com\/AUTOMATIC1111\/stable-diffusion-webui\/wiki\/Textual-Inversion\">Textual Inversion &#8211; wiki<\/a> \uff0c\u8be5 Wiki \u4e0b\u8bb2\u89e3\u4e86\u8bb8\u591a\u76f8\u5173\u7684\u529f\u80fd\uff0c<br \/>\n\u53e6\u5916\uff0cSD \u7684 <code>Textual Inversion Embeddings<\/code> \u548c Novel AI \u7684 <code>hypernet<\/code> \u6280\u672f\u662f\u7c7b\u4f3c\u7684\u3001\u533a\u522b\u5f88\u5c0f\uff0c\u53c2\u8003 <a href=\"https:\/\/github.com\/AUTOMATIC1111\/stable-diffusion-webui\/wiki\/Textual-Inversion#hypernetworks\">Hypernetworks<\/a><\/p>\n<p>\u800c\u8fd9\u79cd\u6280\u672f\u5141\u8bb8\u4f60\u7528\u5c11\u91cf\uff08\u76f8\u5bf9\u4e8e ckpt\u6a21\u578b \u6765\u8bf4\uff09\u7684\u56fe\u6765\u8bad\u7ec3\u4e00\u79cd\u201c\u98ce\u683c\u201d\uff0c\u4f7f\u5f97\u6a21\u578b\u7684\u795e\u7ecf\u7f51\u7edc\u5c40\u90e8\u66ff\u6362\uff0c<\/p>\n<p>\u800c\u8fd9\u79cd\u6587\u4ef6\u4ee5 <code>*.pt<\/code> \u6216\u8005 <code>*.bin<\/code> \u4e3a\u540e\u7f00\uff0c \u4f60\u53ef\u4ee5\u81ea\u5df1\u901a\u8fc7 WebUI \u7684 Textual Inversion \u529f\u80fd\u8fdb\u884c\u8bad\u7ec3\uff0c\u8bad\u7ec3\u7684\u7ed3\u679c\u4e5f\u662f\u540c\u6837\u7684\u6587\u4ef6\u7c7b\u578b\u3002<br \/>\n\u4e0d\u8fc7\uff0c\u8bad\u7ec3\u56fe\u7247\u8981\u6c42\u7684\u663e\u5b58\u5f88\u9ad8\uff0c\u4e00\u822c\u7684\u4f4e\u7aef\u663e\u5361\u53ef\u80fd\u65e0\u6cd5\u6267\u884c\uff0c<\/p>\n<p>\u4f60\u53ef\u4ee5\u5728 <a href=\"https:\/\/github.com\/AUTOMATIC1111\/stable-diffusion-webui\/wiki\/Textual-Inversion#finding-embeddings-online\">\u7f51\u4e0a\u4e0b\u8f7d<\/a> \u83b7\u5f97\uff1a<\/p>\n<ul>\n<li><a href=\"https:\/\/cyberes.github.io\/stable-diffusion-textual-inversion-models\/\">table Diffusion Textual Inversion Embeddings<\/a><\/li>\n<li><a href=\"https:\/\/gitlab.com\/16777216c\/stable-diffusion-embeddings\">\u504fNSFW\u5411 &#8211; gitlab<\/a><\/li>\n<li><a href=\"https:\/\/gitlab.com\/cattoroboto\/waifu-diffusion-embeds\">waifu embeds &#8211; gitlab<\/a><\/li>\n<li><a href=\"https:\/\/gitgud.io\/viper1\/stable-diffusion-embeddings\">nsfw furry &#8211; gitlab<\/a><\/li>\n<li><a href=\"https:\/\/mega.nz\/folder\/7k0R2arB#5_u6PYfdn-ZS7sRdoecD2A\">MEGA<\/a><\/li>\n<li><a href=\"https:\/\/rentry.org\/embeddings\">list of Textual Inversion embeddings for SD<\/a><\/li>\n<\/ul>\n<p>\u5728\u4f7f\u7528\u65f6\u5b58\u5728\u4e00\u4e9b\u533a\u522b\uff0c\u5982\u679c\u4f60\u662f\u8981\u8bad\u7ec3\u6587\u4ef6\uff0c\u5219\u9700\u8981\u653e\u5230<\/p>\n<ul>\n<li>\u6839\u76ee\u5f55\u4e0b\u7684 <code>embeddings<\/code><\/li>\n<li>\u5728\u8bad\u7ec3\u65f6 \u9009\u62e9\u6539\u6587\u4ef6<\/li>\n<\/ul>\n<p>\u800c\u5982\u679c\u662f\u4f7f\u7528\uff0c\u5219\uff1a<\/p>\n<ul>\n<li>\u628a <code>*.pt<\/code> \u6587\u4ef6\u653e\u5230\u6839\u76ee\u5f55\u4e0b <code>models\/hypernetworks<\/code><\/li>\n<li>\u5728<code>Setting\/Stable Diffusion finetune hypernetwork<\/code> \u4e0b\u62c9\u680f\u91cc \u9009\u62e9\u5bf9\u5e94\u7684 pt \u6587\u4ef6\uff0c\u5e94\u7528\uff0c\u5237\u65b0\u914d\u7f6e\uff08\u6216\u8005\u91cd\u542f\u7a0b\u5e8f\uff09<\/li>\n<\/ul>\n<p>\u60f3\u4e86\u89e3\u66f4\u591a\u4fe1\u606f\u53ef\u4ee5\u53c2\u8003\uff1a<a href=\"https:\/\/rentry.org\/hypernetwork4dumdums\">Hypernetwork training for dummies<\/a><\/p>\n<h1>txt2img<\/h1>\n<h2>\u4e0a\u65b9\u4e3b\u754c\u9762\u533a\u57df<\/h2>\n<h3>Generate<\/h3>\n<p>\u5373\u4e3a \u201c\u751f\u4ea7\u201d \u6309\u94ae\uff0c\u8fd9\u91cc\u4e0d\u8d58\u8ff0<\/p>\n<h3>prompt<\/h3>\n<p>Prompt: \u63cf\u8ff0\u8bcd\uff0c\u6307\u793a AI \u5982\u4f55\u751f\u4ea7\u4f60\u7684\u56fe\u7247<br \/>\nNegative Prompt: \u8d1f\u9762\u63cf\u8ff0\u8bcd\uff0c \u6307\u793a AI \u907f\u5f00\u6307\u5b9a\u63cf\u8ff0\u8bcd<\/p>\n<h3>artist<\/h3>\n<p>\u53f3\u4fa7\u6709\u4e00\u4e2a\u753b\u76d8\u4e00\u6837\u7684UI\uff0c\u70b9\u51fb\u540e\u4f1a\u968f\u673a\u52a0\u5165\u4e00\u4e2a \u827a\u672f\u5bb6 \u4f5c\u4e3a prompt<br \/>\n\u8fd9\u4e9b\u827a\u672f\u5bb6\u5728\u6839\u76ee\u5f55\u7684 <code>artists.csv<\/code> \u6587\u4ef6\u4e2d\u88ab\u58f0\u660e\uff0c\u8be5\u6587\u4ef6\u4e2d<\/p>\n<ul>\n<li>\u7b2c\u4e00\u5217\u662f\u827a\u672f\u5bb6\u540d\u5b57<\/li>\n<li>\u7b2c\u4e8c\u5217\u662f\u5206\u503c\uff08\u5927\u6982\u662f\u827a\u672f\u5bb6\u8bc4\u5206\uff1f\uff09<\/li>\n<li>\u7b2c\u4e09\u5217\u662f\u5206\u7c7b<\/li>\n<\/ul>\n<p>\u5206\u7c7b\u53ef\u4ee5\u5728\u8bbe\u7f6e\u91cc\u8fdb\u884c\u8fc7\u6ee4\uff0c\u8fd9\u6837\u5728\u968f\u673a\u65f6\u53ea\u4f1a\u968f\u5230\u6307\u5b9a\u5206\u7c7b\u7684<\/p>\n<h3>\u89e3\u6790prompt<\/h3>\n<p>\u4e4b\u524d\u7684\u6587\u7ae0\u63d0\u5230\uff0cprompt \u53ef\u4ee5\u5305\u542b\u914d\u7f6e\u9009\u9879\uff0c\u8fd9\u91cc\u53ef\u4ee5\u76f4\u63a5\u70b9\u51fb\u4e0b\u65b9\u7684 <code>\u2199<\/code>\u8fdb\u884c\u5e94\u7528\uff0c<br \/>\n\u70b9\u51fb\u540e\u5c06 prompt \u4e2d\u914d\u7f6e\u76f8\u5173\u7684\u63cf\u8ff0 \u89e3\u6790\u3001\u5e94\u7528 \u5230\u5177\u4f53\u4f4d\u7f6e\uff0c\u8fd9\u4e48\u505a\u4e5f\u65b9\u4fbf\u8fdb\u884c\u8bed\u6cd5\u68c0\u67e5\uff08\u4e0d\u8fc7\u6b63\u5e38\u6765\u8bf4\uff0c\u8fd9\u79cd\u8bed\u6cd5\u90fd\u662f\u590d\u5236\u8fc7\u6765\u7684\uff0c\u4e0d\u4f1a\u6709\u4ec0\u4e48\u95ee\u9898\uff09<\/p>\n<h3>style<\/h3>\n<p><code>Style<\/code> \u4e0b\u62c9\u680f \u548c <code>Apply style<\/code> <code>Create style<\/code>\uff0c\u8fd9\u51e0\u4e2a\u6309\u94ae\uff0c\u5141\u8bb8\u4f60\u521b\u5efa\u4e00\u79cd\u9884\u8bbe<br \/>\n\u5f53\u4f60\u521b\u5efa\u7b2c\u4e00\u4e2a\u9884\u8bbe\u540e\uff0c \u5728\u6839\u76ee\u5f55\u4e0b\u4f1a\u51fa\u73b0 <code>styles.csv<\/code>\uff0c \u76ee\u524d\u5220\u9664 style \u9700\u8981\u64cd\u4f5c\u8fd9\u4e2a\u6587\u4ef6<\/p>\n<p>\u800c style \u53ef\u4ee5\u5355\u72ec\u5bf9 \u6b63\u9762 \u548c \u8d1f\u9762\u7684\u63cf\u8ff0\u8fdb\u884c\u8bbe\u7f6e\uff0c\u4e5f\u5c31\u662f\u8bf4\u8fd9\u4e3b\u8981\u7528\u4e8e\u4e00\u4e9b\u6a21\u677f\u63cf\u8ff0\u3002<br \/>\nstyle \u5e76\u6ca1\u6709\u5305\u542b\u4e00\u4e9b\u914d\u7f6e\u3001\u8bbe\u7f6e\u76f8\u5173\u7684\u9009\u9879\uff0c\u5728\u751f\u4ea7\u524d\u9700\u8981\u6ce8\u610f<\/p>\n<h2>\u5de6\u4e0b\u91c7\u6837\u8bbe\u7f6e\u533a\u57df<\/h2>\n<h3>sampling steps<\/h3>\n<p>\u91c7\u6837\u7684\u6b21\u6570\uff0c\u6216\u8005\u8bf4\u6b65\u6570\uff0c<br \/>\n\u6b65\u6570\u8d8a\u9ad8\u753b\u9762\u8d8a\u6e05\u6670\u5177\u4f53\uff0c\u4f46\u5230\u4e86\u4e00\u5b9a\u7a0b\u5ea6\u4ee5\u540e\uff0c\u518d\u589e\u52a0\u6b65\u6570\u4e0d\u4f1a\u4ea7\u751f\u660e\u663e\u53d8\u5316<br \/>\n\u901a\u5e38\u4f1a\u8bbe20~35 \u4e4b\u95f4\u7684\u503c\uff0c\u592a\u5c0f\u753b\u9762\u4e0d\u5168\uff0c\u592a\u5927\u6d6a\u8d39\u65f6\u95f4<br \/>\n\u5efa\u8bae\u5728 txt2img \u6a21\u5f0f\u4e2d\uff0c\u9700\u8981\u8fdb\u4e00\u6b65\u7ec6\u5316\u56fe\u7247\u65f6\u624d\u8c03\u5927\u8fd9\u4e2a\u503c<\/p>\n<h3>sampling method<\/h3>\n<p>\u91c7\u6837\u65b9\u6cd5\uff0c\u4e5f\u53ef\u4ee5\u8bf4\u662f\u91c7\u6837\u5668\uff0c<br \/>\n\u4e0d\u540c\u7684\u91c7\u6837\u5668\uff0c\u91c7\u6837\u65b9\u5f0f\u4e0d\u540c\uff0c\u5f97\u5230\u7684\u7ed3\u679c\u4e5f\u6709\u6240\u4e0d\u540c\u3002\u8fd9\u79cd\u5dee\u5f02\u5f88\u96be\u7528\u7b80\u5355\u7684\u63cf\u8ff0\u6765\u9610\u91ca\u3002<\/p>\n<p>\u5728\u7ecf\u8fc7\u591a\u7ec4\u5bf9\u7167\u8bd5\u9a8c\u540e\uff0c\u80fd\u591f\u5f97\u51fa\u7684\u7b80\u5355\u7ed3\u8bba\u662f\uff1a<\/p>\n<pre><code>Euler A \u51e0\u4e4e\u81ea\u6210\u4e00\u6d3e\n\n\u8fd9\u4e9b\u7ed3\u679c\u9ad8\u5ea6\u76f8\u4f3c\uff1a  \nEuler, LMS, Heun, DPM2 \nDPM2 a, DPM adaptive   \nLMS Karras, MPM2 Karras  \nDDIM, PLMS (\u5f88\u63a5\u8fd1)\n\n\u800c\u5176\u4ed6\u81ea\u6210\u4e00\u7c7b\u7684\u60c5\u51b5\uff08\u548c\u5176\u4ed6\u4e0d\u5b8c\u5168\u76f8\u4f3c\uff0c\u6216\u8005\u5b58\u5728\u4e0d\u76f8\u4f3c\u7684\u90e8\u5206\uff09\uff1a  \nDPM2 a   \nDPM fast  \nEuler a,  \nDPM a Karras<\/code><\/pre>\n<p>\u5176\u4e2d\uff0c\u5927\u90e8\u5206\u91c7\u6837\u5668\u5bf9\u4e8e \u5b9e\u9a8c\u4e2d\u4e24\u7ec4 pt \u7684\u9009\u62e9\u4ea7\u751f\u4e86\u76f8\u540c\u7684\u7ed3\u679c\uff0c<br \/>\n\u53ea\u6709 Euler a \u6b63\u786e\u8bc6\u522b<\/p>\n<p>\u800c\u5728\u4e8e\u5b98\u7f51\u7684\u6d4b\u8bd5\u7ed3\u679c\u4e2d\uff0c<br \/>\nEuler A \u81ea\u6210\u4e00\u6d3e<br \/>\nEuler, LMS, PLMS, DDIM, Heun, DPM2, \u7ed3\u679c\u8fd1\u4f3c\uff0c\u4e14 PLMS \u548c PMS \u6d88\u8017\u6b65\u6570\u8f83\u591a\uff08\u4e0d\u63a8\u8350\uff09<br \/>\nDPM2 a \u81ea\u6210\u4e00\u6d3e<\/p>\n<p>\u56e0\u6b64\u5728\u5bf9\u591a\u79cd\u91c7\u6837\u65b9\u6cd5\u8fdb\u884c\u5206\u652f\u6d4b\u8bd5\u65f6\uff0c\u4e2a\u4eba\u63a8\u8350\uff1a<br \/>\n<strong>Euler, Euler a, DPM2 a<\/strong><\/p>\n<p>\u4ece\u795e\u7ecf\u7f51\u7edc\u7684\u89d2\u5ea6\u4e0a\u8bb2\uff0c\u4ed6\u4eec\u6700\u5927\u7684\u533a\u522b\u5728\u4e8e\u524d\u671f\u7684\u9009\u62e9\u9636\u6bb5<br \/>\n\u5176\u4e2d\u6548\u679c\u76f8\u5bf9\u6700\u597d\u7684\u660e\u663e\u662f Euler_A<br \/>\n\u4f46\u5728\u6548\u679c\u786e\u5b9a\u65f6\uff0c\u4f7f\u7528\u4e0d\u540c\u91c7\u6837\u5668\u8fdb\u884c\u5206\u652f\u9009\u62e9\u3001\u53ef\u80fd\u6027\u63a2\u7d22\uff0c\u4e5f\u662f\u6ca1\u4ec0\u4e48\u95ee\u9898\u7684<\/p>\n<h3>width \u548c height<\/h3>\n<p>\u5bbd\u9ad8\u9ed8\u8ba4512\uff0c\u5728 txt2img \u7684\u6a21\u5f0f\u4e0b\uff0c\u5e76\u4e0d\u5efa\u8bae\u4f60\u4fee\u6539\u8fd9\u4e2a\u503c<br \/>\n\u592a\u4f4e\u6216\u8005\u592a\u9ad8\u7684\u503c\u4f1a\u9020\u6210\u4e00\u4e9b\u5947\u5947\u602a\u602a\u7684\u95ee\u9898<br \/>\n\u5e76\u4e14\u73b0\u9636\u6bb5\u5927\u90e8\u5206\u6a21\u578b\u90fd\u662f\u5582\u7684 512*512 \u7684\u56fe\uff0c\u56e0\u6b64\u751f\u4ea7 512*512 \u5c3a\u5bf8\u7684\u56fe\u6548\u679c\u4e5f\u662f\u6700\u597d\u7684<br \/>\n\u5982\u679c\u9700\u8981\u8c03\u9ad8\u5c3a\u5bf8\u5e94\u8be5\u4f7f\u7528 \u56fe\u7247\u653e\u5927\u76f8\u5173\u7684\u6280\u672f\uff08\u53c2\u8003\u4e0b\u6587\uff09<\/p>\n<h3>\u9009\u9879<\/h3>\n<h3>restore faces<\/h3>\n<p>\u50a8\u5b58\u8138\u90e8\uff0c\u9047\u5230\u6bd4\u8f83\u559c\u6b22\u7684\u8138\u5f62\u65f6\u53ef\u4ee5\u52fe\u4e0a\uff0c<br \/>\n\u5728\u8bbe\u7f6e\u4e2d <code>Face restoration model<\/code> \u53ef\u4ee5\u9009\u62e9\u5177\u4f53\u7684\u7b97\u6cd5\uff0c \u4f46\u9700\u8981\u4f4e\u7aef\u663e\u5361\u6ce8\u610f\u7684\u662f GFPGAN \u4f3c\u4e4e\u4f1a\u7533\u8bf7\u989d\u5916\u7684 VRAM<\/p>\n<h3>tiling<\/h3>\n<p>\u8ba9\u56fe\u7247\u5e73\u94fa<\/p>\n<h3>highres.fix<\/h3>\n<p>\u4e00\u79cd\u4fee\u590d\u7b97\u6cd5\uff0c\u7528\u4e8e\u56fe\u7247\u5c3a\u5bf8\u653e\u5927\u7684\u60c5\u51b5<\/p>\n<h3>Batch count<\/h3>\n<p>\u672c\u6b21\u9700\u8981\u751f\u4ea7\u7684\u56fe\u7247\u6279\u6b21\uff0c\u4e00\u4e2a\u6279\u6b21\u53ef\u80fd\u56e0\u4e3a\u4f60\u7684\u811a\u672c\u8bbe\u7f6e\u751f\u4ea7 N \u5f20\u56fe\uff0c\u90a3\u4e48<br \/>\n$$\u603b\u751f\u4ea7\u6570\u91cf = N * M_{batch ~ count}$$<\/p>\n<h3>Batch size<\/h3>\n<p>\u4e00\u4e2a\u6279\u6b21\u751f\u4ea7\u591a\u5c11\u5f20\u56fe\uff0c\u4f46\u6ce8\u610f\u8fd9\u4e2a\u4f1a\u52a0\u5927 VRAM \u7684\u7533\u8bf7\u6570\uff0c\u4e00\u822c\u4e2d\u4f4e\u7aef\u663e\u5361\uff0c\u53ea\u9700\u8981\u4fdd\u6301 1<\/p>\n<h3>CFG Scale<\/h3>\n<p>Classifier Free Guidance Scale\uff0c\u56fe\u7247\u5e94\u5f53\u9075\u5b88\u7684\u8bed\u53e5\u63cf\u8ff0\u7684\u5f3a\u5ea6\uff0c\u5f3a\u5ea6\u8d8a\u9ad8\u8d8a\u7cbe\u786e\uff0c\u4f46\u56fe\u7247\u81ea\u7531\u53d1\u6325\u7684\u7a0b\u5ea6\u5c31\u8d8a\u4f4e<br \/>\n\u5bf9\u4e8e\u9700\u8981\u98ce\u683c\u5316\u7684\u56fe\u7247\uff0c\u5e94\u5f53\u9002\u5f53\u964d\u4f4e\u3001\u653e\u5f00\uff0c<br \/>\n\u800c\u5bf9\u4e8e\u9700\u8981\u7cbe\u786e\u8868\u8fbe\u7684\u56fe\u7247\uff0c\u5e94\u5f53\u63d0\u9ad8\u503c\uff0c\u8d8a\u9ad8\u7684\u503c\u4f7f\u5f97\u5b83\u8d8a\u63a5\u8fd1\u53c2\u8003\u7684\u6e90\u5185\u5bb9\uff08\u4e5f\u5c31\u8d8a\u80fd\u770b\u51fa\u539f\u56fe\u7684\u75d5\u8ff9\uff09<\/p>\n<h3>Seed<\/h3>\n<p>\u4e5f\u5c31\u662f\u968f\u673a\u6570\u79cd\u5b50\uff0c \u4fdd\u6301\u76f8\u540c\u7684\u79cd\u5b50\u662f\u590d\u73b0\u4e00\u4e2a\u753b\u51e0\u4e4e\u5fc5\u987b\u7684\u524d\u63d0<br \/>\n\u800c\u4f7f\u7528\u76f8\u540c\u79cd\u5b50\u7684\u524d\u63d0\u4e0b\uff0c\u51fa\u6765\u7684\u753b\u4f5c\u4e5f\u5e76\u4e0d\u4e00\u5b9a\u7ed3\u679c\u76f8\u540c<\/p>\n<p>\u4f46\u7531\u4e8e\u91c7\u6837\u8fc7\u7a0b\u7684\u6027\u8d28\uff0c\u540c\u4e00\u4e2a\u79cd\u5b50\u751f\u4ea7\u51fa\u7684\u4f5c\u54c1\uff0c\u5f80\u5f80\u5728\u67d0\u4e9b\u65b9\u9762\u5177\u6709\u76f8\u4f3c\u6027<br \/>\n\u56e0\u6b64\u5728\u63a2\u7d22 AI \u7684\u4e00\u4e9b\u7279\u8d28\u3001\u6216\u8005\u5bf9\u4e8e\u4e00\u5e45\u753b\u8fdb\u884c\u6253\u78e8\u63a2\u7d22 \u65f6\uff0c\u5efa\u8bae\u4f7f\u7528\u76f8\u540c\u7684\u79cd\u5b50<\/p>\n<p>\u53e6\u5916\uff0c\u4e0b\u62c9\u680f\u91cc\u8fd8\u6709\u4e00\u4e9b Resize seed \u4e4b\u7c7b\u7684\u529f\u80fd\uff0c\u76ee\u524d\u9700\u8981\u7b49\u4ed6\u6587\u6863\u5b8c\u5584<\/p>\n<h1>Script<\/h1>\n<p>\u8be5\u4e0b\u62c9\u680f\u5141\u8bb8\u4f60\u5236\u5b9a\u4e00\u4e9b\u6279\u91cf\u751f\u4ea7\u7684\u5185\u5bb9\uff0c<\/p>\n<h2>Prompt Matrix<\/h2>\n<p>\u53c2\u8003\u524d\u9762\u6587\u7ae0\u4ecb\u7ecd\u7684 <a href=\"https:\/\/github.com\/AUTOMATIC1111\/stable-diffusion-webui\/wiki\/Features#prompt-matrix\">prompt matrix<\/a><br \/>\n\u901a\u8fc7\u4e3a prompt \u52a0\u5165 <code>|<\/code> \uff0c\u4f7f\u5f97\u4e00\u4e2a\u6279\u6b21\u80fd\u591f\u6e32\u67d3\u591a\u5f20 prompt \u5b58\u5728\u7565\u5fae\u5dee\u5f02\u7684\u56fe<\/p>\n<h2>X\/Y Plot<\/h2>\n<p>\u5373\uff0c\u5141\u8bb8\u4f60\u8f93\u5165\u4e24\u4e2a\u53d8\u91cf\uff0c\u6bcf\u4e2a\u53d8\u91cf\u53ef\u4ee5\u6307\u5b9a\u4e00\u7cfb\u5217\u503c\uff08\u7528\u9017\u53f7\u5206\u9694\u7684 prompt\uff0c\u6216\u8005\u7528\u7279\u6b8a\u8bed\u6cd5\u6307\u5b9a\u7684\u6570\u5b57\u5e8f\u5217\uff09\uff0c<br \/>\n\u8fd9\u4e24\u7ec4\u503c\u6784\u6210\u4e00\u4e2a\u77e9\u9635\uff0c\u6839\u636e\u4ed6\u4eec\u7684\u6570\u91cf\uff0c\u6bcf\u4e2a\u6279\u6b21\u4f1a\u4e3a\u4f60\u751f\u4ea7 X * Y \u5f20\u56fe\uff0c\u6bcf\u5f20\u56fe\u5206\u522b\u4f7f\u7528\u77e9\u9635\u4e0a\u5bf9\u5e94\u7684\u503c\u4f5c\u4e3a\u53c2\u6570\u8f93\u5165<\/p>\n<p>\u6570\u5b57\u5e8f\u5217\u65e2\u53ef\u4ee5\u7528 <code>,<\/code> \uff0c\u4e5f\u53ef\u4ee5\u7528\u4ee5\u4e0b\u8bed\u6cd5\uff1a<\/p>\n<h3>\u6570\u5b57\u5e8f\u5217<\/h3>\n<p>\u4f7f\u7528\u53d8\u5316\u7684\u53c2\u6570\u6765\u521b\u5efa\u56fe\u7247\u9635\u5217<br \/>\n\u8fd9\u4e9b\u53c2\u6570\u5728 X \u548c Y \u4e2d\u58f0\u660e\uff0c\u4ee5\u9017\u53f7\u5206\u9694\uff0c<br \/>\n\u5728\u4e0b\u62c9\u680f\u91cc\u53ef\u4ee5\u770b\u5230\u652f\u6301\u7684\u53c2\u6570\u7c7b\u578b\uff0c<br \/>\n\u4f8b\u5982 Seed \u5c31\u662f\u79cd\u5b50\uff0c<\/p>\n<p>\u548c\u4e00\u822c\u7684\u77e9\u9635\u8bed\u6cd5\u4e00\u6837\uff0c\u4e5f\u662f\u4f1a\u6392\u5217\u7ec4\u5408\u751f\u6210\u591a\u79cd\u56fe<\/p>\n<p>\u5e76\u4e14\uff0c\u5bf9\u4e8e\u6570\u5b57\u548c\u6d6e\u70b9\uff0c\u652f\u6301\u7279\u6b8a\u65b9\u5f0f\u58f0\u660e\u4e00\u4e2a\u533a\u95f4\uff08\u907f\u514d\u5927\u91cf\u6570\u5b57\u5199\u5728\u91cc\u9762\uff09<\/p>\n<ul>\n<li><code>1-5<\/code> \u8868\u793a 1~5\u7684\u5e8f\u5217<\/li>\n<li><code>1-5(+2)<\/code> \u8868\u793a\u4ece1\u5f00\u59cb\uff0c\u4ee5\u62ec\u53f7\u5185\u7684\u6570\u503c\u4f5c\u4e3a\u7b49\u5dee\uff0c\u800c\u4ea7\u751f\u7684\u5e8f\u5217<\/li>\n<li><code>1-5[5]<\/code> \u8868\u793a\u57281~5\u4e4b\u95f4\uff0c\u751f\u6210\u6307\u5b9a\u6570\u91cf\u7684\u5e8f\u5217<\/li>\n<\/ul>\n<h3>\u4e3e\u4f8b<\/h3>\n<pre><code>X: Steps  : 28, 35  \nY: Sampler: Euler, Euler a  <\/code><\/pre>\n<p>\u5373\u4f1a\u521b\u5efa\u56db\u5f20\u56fe\uff0c\u5206\u522b\u662f\uff1a<\/p>\n<pre><code>Step=28, Sampler = Euler,\nStep=28, Sampler = Euler a,\nStep=35, Sampler = Euler,\nStep=35, Sampler = Euler a,<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>\u4ecb\u7ecd StableDiffusion \u4e2d txt2img 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