{"id":28,"date":"2024-11-25T16:04:29","date_gmt":"2024-11-25T08:04:29","guid":{"rendered":"https:\/\/vlog.xiaoyan.sbs\/?p=28"},"modified":"2024-11-25T16:04:29","modified_gmt":"2024-11-25T08:04:29","slug":"stable-diffusion%e7%9b%b8%e5%85%b3%e4%bb%8b%e7%bb%8d","status":"publish","type":"post","link":"https:\/\/vlog.xiaoyan.sbs\/?p=28","title":{"rendered":"Stable Diffusion\u76f8\u5173\u4ecb\u7ecd"},"content":{"rendered":"\n<p>&nbsp;Stable Diffusion\u662f\u4e00\u4e2a\u6587\u672c\u5230\u56fe\u50cf\u7684\u6f5c\u5728\u6269\u6563\u6a21\u578b\uff0c\u7531CompVis\u3001Stability AI\u548cLAION\u7684\u7814\u7a76\u4eba\u5458\u548c\u5de5\u7a0b\u5e08\u521b\u5efa\u3002\u5b83\u4f7f\u7528\u6765\u81eaLAION-5B\u6570\u636e\u5e93\u5b50\u96c6\u7684512&#215;512\u56fe\u50cf\u8fdb\u884c\u8bad\u7ec3\u3002\u4f7f\u7528\u8fd9\u4e2a\u6a21\u578b\uff0c\u53ef\u4ee5\u751f\u6210\u5305\u62ec\u4eba\u8138\u5728\u5185\u7684\u4efb\u4f55\u56fe\u50cf\uff0c\u56e0\u4e3a\u6709\u5f00\u6e90\u7684\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u6240\u4ee5\u6211\u4eec\u4e5f\u53ef\u4ee5\u5728\u81ea\u5df1\u7684\u673a\u5668\u4e0a\u8fd0\u884c\u5b83\uff0c\u5982\u4e0b\u56fe\u6240\u793a\u3002<\/p>\n\n\n\n<p>\u5982\u679c\u4f60\u8db3\u591f\u806a\u660e\u548c\u6709\u521b\u9020\u529b\uff0c\u4f60\u53ef\u4ee5\u521b\u9020\u4e00\u7cfb\u5217\u7684<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEi4wnFE3pA23qlMNWELfO6CwlCXtzy63jIE63p7T5BD5EEKUnOEG6odShZHsQkCE83bQRC7-dAn_ZJHNx7_SzXA3KZ6KWiuyP8LCX7yXjYsgs__nwmZ1ZsZf372PrP-TYl5h8p4RF5MKsOcHxN3sxQnNg88v5pjRGK2X8TRXUv306I_2qhaJ8W9c9PZUQ=w568-h419\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u56fe\u50cf\uff0c\u7136\u540e\u5f62\u6210\u4e00\u4e2a\u89c6\u9891\u3002\u4f8b\u5982\uff0cXander Steenbrugge\u4f7f\u7528\u5b83\u548c\u4e0a\u56fe\u6240\u793a\u7684\u8f93\u5165\u63d0\u793a\u521b\u5efa\u4e86\u4e0b\u9762\u8fd9\u6bb5\u4ee4\u4eba\u60ca\u53f9\u7684\u300a\u7a7f\u8d8a\u65f6\u95f4\u300b\u89c6\u9891\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4ed6\u7528\u6765\u521b\u4f5c\u8fd9\u5e45\u521b\u9020\u6027\u827a\u672f\u4f5c\u54c1\u7684\u7075\u611f\u548c\u6587\u672c:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEg7YI_UiF7j-c2a1c6D-Puuf-IttVI6w6hLPmqYTu7qC1DHBgANIHSohyVX-Qi-lHcJlQ8YfFB-R0m27hYlYDluBF4idRdX0xTDO1yVS4vWk8x8OZPTGFddjRe0l90jVQG18kVLgI56ONaAmLmp0fExNSPHLY7QOHT-7XdBS_2e8LJjxdskVrlrU5fJUg=w540-h412\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u672c\u6587\u9996\u5148\u4ecb\u7ecd\u4ec0\u4e48\u662fStable Diffusion\uff0c\u5e76\u8ba8\u8bba\u5b83\u7684\u4e3b\u8981\u7ec4\u6210\u90e8\u5206\u3002\u7136\u540e\u6211\u4eec\u5c06\u4f7f\u7528\u6a21\u578b\u4ee5\u4e09\u79cd\u4e0d\u540c\u7684\u65b9\u5f0f\u521b\u5efa\u56fe\u50cf\uff0c\u8fd9\u4e09\u79cd\u65b9\u5f0f\u4ece\u66f4\u7b80\u5355\u5230\u590d\u6742\u3002<\/p>\n\n\n\n<p>Stable Diffusion<\/p>\n\n\n\n<p>Stable Diffusion\u662f\u4e00\u79cd\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u5b83\u7ecf\u8fc7\u8bad\u7ec3\u53ef\u4ee5\u9010\u6b65\u5bf9\u968f\u673a\u9ad8\u65af\u566a\u58f0\u8fdb\u884c\u53bb\u566a\u4ee5\u83b7\u5f97\u611f\u5174\u8da3\u7684\u6837\u672c\uff0c\u4f8b\u5982\u751f\u6210\u56fe\u50cf\u3002<\/p>\n\n\n\n<p>\u6269\u6563\u6a21\u578b\u6709\u4e00\u4e2a\u4e3b\u8981\u7684\u7f3a\u70b9\u5c31\u662f\u53bb\u566a\u8fc7\u7a0b\u7684\u65f6\u95f4\u548c\u5185\u5b58\u6d88\u8017\u90fd\u975e\u5e38\u6602\u8d35\u3002\u8fd9\u4f1a\u4f7f\u8fdb\u7a0b\u53d8\u6162\uff0c\u5e76\u6d88\u8017\u5927\u91cf\u5185\u5b58\u3002\u4e3b\u8981\u539f\u56e0\u662f\u5b83\u4eec\u5728\u50cf\u7d20\u7a7a\u95f4\u4e2d\u8fd0\u884c\uff0c\u7279\u522b\u662f\u5728\u751f\u6210\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\u65f6\u3002<\/p>\n\n\n\n<p>Latent diffusion\u901a\u8fc7\u5728\u8f83\u4f4e\u7ef4\u5ea6\u7684\u6f5c\u7a7a\u95f4\u4e0a\u5e94\u7528\u6269\u6563\u8fc7\u7a0b\u800c\u4e0d\u662f\u4f7f\u7528\u5b9e\u9645\u7684\u50cf\u7d20\u7a7a\u95f4\u6765\u51cf\u5c11\u5185\u5b58\u548c\u8ba1\u7b97\u6210\u672c\u3002\u6240\u4ee5Stable Diffusion\u5f15\u5165\u4e86Latent diffusion\u7684\u65b9\u5f0f\u6765\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\u8ba1\u7b97\u4ee3\u4ef7\u6602\u8d35\u7684\u95ee\u9898\u3002<\/p>\n\n\n\n<p><strong>1<\/strong><strong>\u3001<\/strong><strong>Latent diffusion<\/strong><strong>\u7684\u4e3b\u8981\u7ec4\u6210\u90e8\u5206<\/strong><\/p>\n\n\n\n<p>Latent diffusion\u6709\u4e09\u4e2a\u4e3b\u8981\u7ec4\u6210\u90e8\u5206:<\/p>\n\n\n\n<p><strong>\u81ea\u52a8\u7f16\u7801\u5668<\/strong><strong>(VAE)<\/strong><\/p>\n\n\n\n<p>\u81ea\u52a8\u7f16\u7801\u5668(VAE)\u7531\u4e24\u4e2a\u4e3b\u8981\u90e8\u5206\u7ec4\u6210:\u7f16\u7801\u5668\u548c\u89e3\u7801\u5668\u3002\u7f16\u7801\u5668\u5c06\u628a\u56fe\u50cf\u8f6c\u6362\u6210\u4f4e\u7ef4\u7684\u6f5c\u5728\u8868\u793a\u5f62\u5f0f\uff0c\u8be5\u8868\u793a\u5f62\u5f0f\u5c06\u4f5c\u4e3a\u4e0b\u4e00\u4e2a\u7ec4\u4ef6U_Net\u7684\u8f93\u5165\u3002\u89e3\u7801\u5668\u5c06\u505a\u76f8\u53cd\u7684\u4e8b\u60c5\uff0c\u5b83\u5c06\u628a\u6f5c\u5728\u7684\u8868\u793a\u8f6c\u6362\u56de\u56fe\u50cf\u3002<\/p>\n\n\n\n<p>\u5728Latent diffusion\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u5229\u7528\u7f16\u7801\u5668\u83b7\u5f97\u6b63\u5411\u6269\u6563\u8fc7\u7a0b\u4e2d\u8f93\u5165\u56fe\u50cf\u7684\u6f5c\u8868\u793a(latent)\u3002\u800c\u5728\u63a8\u7406\u8fc7\u7a0b\u4e2d\uff0cVAE\u89e3\u7801\u5668\u5c06\u628a\u6f5c\u4fe1\u53f7\u8f6c\u6362\u56de\u56fe\u50cf\u3002<\/p>\n\n\n\n<p><strong>U-Net<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEgSw2IAQfeGWzDA9TL9vLdVh39c6afc8mzWHHfrjN_3DURMGmJkg7GHwq9-lgmIUnwIisTrK9NLcbbDVdeJ8PL-_3_rSNAQEqvxFxdNaKJyQpZygpxbBhIv2LbSj52WFfjA3Q55vzP21_UDcbJmcsooxT3cCk37KN9L1H8cfpHh1whtp71r0oxrAkzW2A=w642-h314\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>U-Net\u4e5f\u5305\u62ec\u7f16\u7801\u5668\u548c\u89e3\u7801\u5668\u4e24\u90e8\u5206\uff0c\u4e24\u8005\u90fd\u7531ResNet\u5757\u7ec4\u6210\u3002\u7f16\u7801\u5668\u5c06\u56fe\u50cf\u8868\u793a\u538b\u7f29\u4e3a\u4f4e\u5206\u8fa8\u7387\u56fe\u50cf\uff0c\u89e3\u7801\u5668\u5c06\u4f4e\u5206\u8fa8\u7387\u89e3\u7801\u56de\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\u3002<\/p>\n\n\n\n<p>\u4e3a\u4e86\u9632\u6b62U-Net\u5728\u4e0b\u91c7\u6837\u65f6\u4e22\u5931\u91cd\u8981\u4fe1\u606f\uff0c\u901a\u5e38\u5728\u7f16\u7801\u5668\u7684\u4e0b\u91c7\u6837\u7684ResNet\u548c\u89e3\u7801\u5668\u7684\u4e0a\u91c7\u6837ResNet\u4e4b\u95f4\u6dfb\u52a0\u4e86\u6377\u5f84\u7684\u8fde\u63a5\u3002<\/p>\n\n\n\n<p>\u5728Stable Diffusion\u7684U-Net\u4e2d\u6dfb\u52a0\u4e86\u4ea4\u53c9\u6ce8\u610f\u5c42\u5bf9\u6587\u672c\u5d4c\u5165\u7684\u8f93\u51fa\u8fdb\u884c\u8c03\u8282\u3002\u4ea4\u53c9\u6ce8\u610f\u5c42\u88ab\u6dfb\u52a0\u5230U-Net\u7684\u7f16\u7801\u5668\u548c\u89e3\u7801\u5668ResNet\u5757\u4e4b\u95f4\u3002<\/p>\n\n\n\n<p><strong>Text-Encoder<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEi6HmKtkRmu-RWmrmKFXqAoglIuj3h6sKI9mnJi3Qe9rXFQY-1OOdyuSrW-1483_KP4HsKEfTbXBblzXgrs74ZtdDsLbJn8u6Tfb0T8hTq0KbmWYIA6qydWT1VI_cRb6cNUJD69-2Eo7blcfm8GWk1bRLwB614FvVe0GcF5yg1N0CUTY29dW_c_SuijEA=w627-h408\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u6587\u672c\u7f16\u7801\u5668\u5c06\u628a\u8f93\u5165\u6587\u5b57\u63d0\u793a\u8f6c\u6362\u4e3aU-Net\u53ef\u4ee5\u7406\u89e3\u7684\u5d4c\u5165\u7a7a\u95f4\uff0c\u8fd9\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u57fa\u4e8etransformer\u7684\u7f16\u7801\u5668\uff0c\u5b83\u5c06\u6807\u8bb0\u5e8f\u5217\u6620\u5c04\u5230\u6f5c\u5728\u6587\u672c\u5d4c\u5165\u5e8f\u5217\u3002\u4ece\u8fd9\u91cc\u53ef\u4ee5\u770b\u5230\u4f7f\u7528\u826f\u597d\u7684\u6587\u5b57\u63d0\u793a\u4ee5\u83b7\u5f97\u66f4\u597d\u7684\u9884\u671f\u8f93\u51fa\u3002<\/p>\n\n\n\n<p><strong>\u4e3a\u4ec0\u4e48<\/strong><strong>Latent Diffusion<\/strong><strong>\u5feb\u901f\u6709\u6548<\/strong><\/p>\n\n\n\n<p>Latent Diffusion\u4e4b\u6240\u4ee5\u5feb\u901f\u6709\u6548\uff0c\u662f\u56e0\u4e3a\u5b83\u7684U-Net\u662f\u5728\u4f4e\u7ef4\u7a7a\u95f4\u4e0a\u5de5\u4f5c\u7684\u3002\u4e0e\u50cf\u7d20\u7a7a\u95f4\u6269\u6563\u76f8\u6bd4\uff0c\u8fd9\u964d\u4f4e\u4e86\u5185\u5b58\u548c\u8ba1\u7b97\u590d\u6742\u5ea6\u3002\u4f8b\u5982\uff0c\u4e00\u4e2a(3,512,512)\u7684\u56fe\u50cf\u5728\u6f5c\u5728\u7a7a\u95f4\u4e2d\u4f1a\u53d8\u6210(4,64,64)\uff0c\u5185\u5b58\u5c06\u4f1a\u51cf\u5c1164\u500d\u3002<\/p>\n\n\n\n<p><strong>Stable Diffusion<\/strong><strong>\u7684\u63a8\u7406\u8fc7\u7a0b<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEjLkyBceOZ3_oX05wpmdoU39xbUmU2BVnMg6eajn7uGrlpiQYuFQFjW9HCb6DQD_XZlpcqMawHTzLbwNtYyv4Xc3O41_7QnUnVYplIucgdYOcJNQfVbreKHYX8aJR6YVJ5lu9apmg_rWM2scFH67XA3gl08Yl7V0k2t36H7W08Cc1WbISgj2RAZ57InPw=w593-h789\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u9996\u5148\uff0c\u6a21\u578b\u5c06\u6f5c\u5728\u7a7a\u95f4\u7684\u968f\u673a\u79cd\u5b50\u548c\u6587\u672c\u63d0\u793a\u540c\u65f6\u4f5c\u4e3a\u8f93\u5165\u3002\u7136\u540e\u4f7f\u7528\u6f5c\u5728\u7a7a\u95f4\u7684\u79cd\u5b50\u751f\u6210\u5927\u5c0f\u4e3a64\u00d764\u7684\u968f\u673a\u6f5c\u5728\u56fe\u50cf\u8868\u793a\uff0c\u901a\u8fc7CLIP\u7684\u6587\u672c\u7f16\u7801\u5668\u5c06\u8f93\u5165\u7684\u6587\u672c\u63d0\u793a\u8f6c\u6362\u4e3a\u5927\u5c0f\u4e3a77\u00d7768\u7684\u6587\u672c\u5d4c\u5165\u3002<\/p>\n\n\n\n<p>\u7136\u540e\uff0c\u4f7f\u7528U-Net \u5728\u4ee5\u6587\u672c\u5d4c\u5165\u4e3a\u6761\u4ef6\u7684\u540c\u65f6\u8fed\u4ee3\u5730\u5bf9\u968f\u673a\u6f5c\u5728\u56fe\u50cf\u8868\u793a\u8fdb\u884c\u53bb\u566a\u3002 U-Net \u7684\u8f93\u51fa\u662f\u566a\u58f0\u7684\u6b8b\u5dee\uff0c\u7528\u4e8e\u901a\u8fc7scheduler \u7a0b\u5e8f\u7b97\u6cd5\u8ba1\u7b97\u53bb\u566a\u7684\u6f5c\u5728\u56fe\u50cf\u8868\u793a\u3002 scheduler \u7b97\u6cd5\u6839\u636e\u5148\u524d\u7684\u566a\u58f0\u8868\u793a\u548c\u9884\u6d4b\u7684\u566a\u58f0\u6b8b\u5dee\u8ba1\u7b97\u9884\u6d4b\u7684\u53bb\u566a\u56fe\u50cf\u8868\u793a\u3002<\/p>\n\n\n\n<p>\u8bb8\u591a\u4e0d\u540c\u7684scheduler \u7b97\u6cd5\u53ef\u4ee5\u7528\u4e8e\u8fd9\u4e2a\u8ba1\u7b97\uff0c\u6bcf\u4e00\u4e2a\u90fd\u6709\u5b83\u7684\u4f18\u70b9\u548c\u7f3a\u70b9\u3002\u5bf9\u4e8eStable Diffusion\uff0c\u5efa\u8bae\u4f7f\u7528\u4ee5\u4e0b\u5176\u4e2d\u4e4b\u4e00:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>PNDM scheduler (\u9ed8\u8ba4)<\/li>\n\n\n\n<li>DDIM scheduler<\/li>\n\n\n\n<li>K-LMS scheduler<\/li>\n<\/ul>\n\n\n\n<p>\u53bb\u566a\u8fc7\u7a0b\u91cd\u590d\u7ea650\u6b21\uff0c\u8fd9\u6837\u53ef\u4ee5\u9010\u6b65\u68c0\u7d22\u66f4\u597d\u7684\u6f5c\u5728\u56fe\u50cf\u8868\u793a\u3002\u4e00\u65e6\u5b8c\u6210\uff0c\u6f5c\u5728\u56fe\u50cf\u8868\u793a\u5c31\u4f1a\u7531\u53d8\u5206\u81ea\u7f16\u7801\u5668\u7684\u89e3\u7801\u5668\u90e8\u5206\u8fdb\u884c\u89e3\u7801\u3002<\/p>\n\n\n\n<p>\u4f7f\u7528 Hugging Face\u7684API<\/p>\n\n\n\n<p>Hugging Face\u63d0\u4f9b\u4e86\u4e00\u4e2a\u975e\u5e38\u7b80\u5355\u7684API\u6765\u4f7f\u7528\u6211\u4eec\u7684\u6a21\u578b\u751f\u6210\u56fe\u50cf\u3002\u5728\u4e0b\u56fe\u4e2d\u53ef\u4ee5\u770b\u5230\u6211\u4f7f\u7528\u4e86\u201castronaut riding a horse\u201d\u4f5c\u4e3a\u8f93\u5165\u5f97\u5230\u8f93\u51fa\u56fe\u50cf:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEhyHaSwsDO5q4ARQBqtLdNjGp2w523cppKZfQ5bZwDkxmMboeEHauf8Dnep46bAHm0iUHa0WP2oYWZdvprPymrRIH7LNzV9Nqe_vrvzhxPDcAbOijRm8vvtDTk7-m4_ezSWu18r-CGgC4Sq8WozssmelS0grdFDx6ITHwPV6tD4iEkfyhcwcQYHmqBgXw=w534-h534\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u4ed6\u63d0\u4f9b\u7684\u6a21\u578b\u8fd8\u5305\u542b\u4e86\u4e00\u4e9b\u53ef\u7528\u7684\u9ad8\u7ea7\u9009\u9879\u6765\u6539\u53d8\u751f\u6210\u7684\u56fe\u50cf\u7684\u8d28\u91cf\uff0c\u5982\u4e0b\u56fe\u6240\u793a:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEj_7qDvDAQoEf214GcANOoC7McFI1RdO--qiEHirxjNKE_4GLJJIcJqYjnRpYZBhFi_tTe-4FQkxFlLhOklAsRIfRQPpROkmKljVEHKrBFIdn-gPafW1S5L6f7T9aZbxXNEzi7Ev7Q8045H0Z5Q90etnagZKsZxN7XWwk8wL96QzatgTBNFjsirN3DrdQ=w620-h160\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u8fd9\u91cc\u7684\u56db\u4e2a\u9009\u9879\u8bf4\u660e\u5982\u4e0b:<\/p>\n\n\n\n<p><strong>images<\/strong>:\u8be5\u9009\u9879\u63a7\u5236\u7684\u751f\u6210\u56fe\u50cf\u6570\u91cf\u6700\u591a\u4e3a4\u4e2a\u3002<\/p>\n\n\n\n<p><strong>Steps<\/strong>:\u6b64\u9009\u9879\u9009\u62e9\u60f3\u8981\u7684\u6269\u6563\u8fc7\u7a0b\u7684\u6b65\u9aa4\u6570\u3002\u6b65\u9aa4\u8d8a\u591a\uff0c\u751f\u6210\u7684\u56fe\u50cf\u8d28\u91cf\u8d8a\u597d\u3002\u5982\u679c\u60f3\u8981\u9ad8\u8d28\u91cf\uff0c\u53ef\u4ee5\u9009\u62e9\u53ef\u7528\u7684\u6700\u5927\u6b65\u9aa4\u6570\uff0c\u537350\u3002\u5982\u679c\u4f60\u60f3\u8981\u66f4\u5feb\u7684\u7ed3\u679c\uff0c\u90a3\u4e48\u8003\u8651\u51cf\u5c11\u6b65\u9aa4\u7684\u6570\u91cf\u3002<\/p>\n\n\n\n<p><strong>Guidance Scale<\/strong>:Guidance Scale\u662f\u751f\u6210\u7684\u56fe\u50cf\u4e0e\u8f93\u5165\u63d0\u793a\u7684\u7d27\u5bc6\u7a0b\u5ea6\u4e0e\u8f93\u5165\u7684\u591a\u6837\u6027\u4e4b\u95f4\u7684\u6743\u8861\u3002\u5b83\u7684\u5178\u578b\u503c\u57287.5\u5de6\u53f3\u3002\u589e\u52a0\u7684\u6bd4\u4f8b\u8d8a\u591a\uff0c\u56fe\u50cf\u7684\u8d28\u91cf\u5c31\u4f1a\u8d8a\u9ad8\uff0c\u4f46\u662f\u4f60\u5f97\u5230\u7684\u8f93\u51fa\u5c31\u4f1a\u8d8a\u5c11\u3002<\/p>\n\n\n\n<p><strong>Seed<\/strong>:\u968f\u673a\u79cd\u5b50\u591f\u63a7\u5236\u751f\u6210\u7684\u6837\u672c\u7684\u591a\u6837\u6027<\/p>\n\n\n\n<p>\u4f7f\u7528Diffuser \u5305<\/p>\n\n\n\n<p>\u7b2c\u4e8c\u79cd\u4f7f\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528Hugging Face\u7684Diffusers\u5e93\uff0c\u5b83\u5305\u542b\u4e86\u76ee\u524d\u53ef\u7528\u7684\u5927\u90e8\u5206\u7a33\u5b9a\u6269\u6563\u6a21\u578b\uff0c\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u5728\u8c37\u6b4c\u7684Colab\u4e0a\u8fd0\u884c\u5b83\u3002<\/p>\n\n\n\n<p>\u7b2c\u4e00\u6b65\u662f\u6253\u5f00\u8c37\u6b4ccollab\uff0c\u68c0\u67e5\u662f\u5426\u8fde\u63a5\u5230GPU\uff0c\u53ef\u4ee5\u5728\u8d44\u6e90\u6309\u94ae\u4e2d\u67e5\u770b\uff0c\u5982\u4e0b\u56fe\u6240\u793a:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEgmICL3JXm8Th4KtVaOunceGOSLTtbojY9WJyaw1nGSyVx76utWJ2RlphWh_YLZAnFzfX-tWXpi_sg8bfeDZxjDxz7ZY9ALY-HODBsUwHbBEN3n51hMVfqGwebhhL9z7yjj_Ch5bohIOd5CuHo9kM4_p02tGSWu9sddSlkbIZyw1SPZrs1Wv_pKThXqEg=w559-h624\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u53e6\u4e00\u4e2a\u9009\u62e9\u662f\u4ece\u8fd0\u884c\u65f6\u83dc\u5355\u4e2d\u9009\u62e9\u66f4\u6539\u8fd0\u884c\u65f6\u7c7b\u578b\uff0c\u7136\u540e\u68c0\u67e5\u786c\u4ef6\u52a0\u901f\u5668\u88ab\u9009\u62e9\u4e3aGPU:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEj9P8zNCK6tkAVmNMJX2kA8QReoWZVr2s1jcy6deZJYgPNU5eMwacxOB3UB4ej6GBqv2ZkGsdvuTMgJxYhiXoYv4Qih77FvhJ2rUiuY6IQT4CUCQhGM7cWjx7kBpcipxhPaljmxBq8Fde3OFzV0p72Ul0jHySCAzclww2t6nfyJ2do_uttYnectbNAzVw=w550-h419\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u6211\u4eec\u786e\u4fdd\u4f7f\u7528GPU\u8fd0\u884c\u65f6\u540e\uff0c\u4f7f\u7528\u4e0b\u9762\u7684\u4ee3\u7801\uff0c\u67e5\u770b\u6211\u4eec\u5f97\u5230\u7684GPU<\/p>\n\n\n\n<p>!nvidia-smi<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEhArMcmoMIiK7eduazA4nWJylgbpy-v4JKz7kuaAlGRTjUF96Rm1kNuS7pnxm4PJ-3T5DXH78bqc7RRyvXpyzux4_lJfVxvWUBW6Ok63bnqL4EpJGdoRg3npqeva4OonHhg2rXDOFSpUlTySrY3_IZfQfOHXwGOEDMO7NRozmgdgU9XcHlzz8ucLSxZlQ=w617-h287\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u975e\u5e38\u4e0d\u5e78\u6211\u4eec\u53ea\u5206\u914d\u5230\u4e86\u4e00\u4e2aT4\uff0c\u5982\u679c\u4f60\u80fd\u5206\u914d\u5230\u4e00\u5757P100\uff0c\u90a3\u4e48\u4f60\u7684\u63a8\u7406\u901f\u5ea6\u4f1a\u53d8\u5f97\u66f4\u5feb<\/p>\n\n\n\n<p>\u4e0b\u9762\u6211\u4eec\u5b89\u88c5\u4e00\u4e9b\u9700\u8981\u7684\u5305\uff1a<strong>diffusers<\/strong>&nbsp;,<strong>scipy<\/strong>, ftfy\u548c<strong>transformer<\/strong>:<\/p>\n\n\n\n<p>!pip install diffusers==0.4.0<br>!pip install transformers scipy ftfy<br>!pip install &#8220;ipywidgets&gt;=7,&lt;8&#8221;<\/p>\n\n\n\n<p>\u8fd9\u91cc\u9700\u8981\u7684\u989d\u5916\u64cd\u4f5c\u662f\u5fc5\u987b\u540c\u610f\u6a21\u578b\u534f\u8bae\uff0c\u8fd8\u8981\u901a\u8fc7\u52fe\u9009\u590d\u9009\u6846\u6765\u63a5\u53d7\u6a21\u578b\u8bb8\u53ef\u3002\u201cHugging Face\u201d\u4e0a\u6ce8\u518c\uff0c\u5e76\u83b7\u5f97\u8bbf\u95ee\u4ee4\u724c\u7b49\u7b49\u3002<\/p>\n\n\n\n<p>\u53e6\u5916\u5bf9\u4e8e\u8c37\u6b4ccollab\uff0c\u5b83\u5df2\u7ecf\u7981\u7528\u4e86\u5916\u90e8\u5c0f\u90e8\u4ef6\uff0c\u6240\u4ee5\u9700\u8981\u542f\u7528\u5b83\u3002\u8fd0\u884c\u4ee5\u4e0b\u4ee3\u7801\u8fd9\u6837\u624d\u80fd\u591f\u4f7f\u7528\u201cnotebook_login\u201d<\/p>\n\n\n\n<p>from google.colab import output<br>output.enable_custom_widget_manager()<\/p>\n\n\n\n<p>\u73b0\u5728\u5c31\u53ef\u4ee5\u4ece\u7684\u8d26\u6237\u4e2d\u83b7\u5f97\u7684\u8bbf\u95ee\u4ee4\u724c\u767b\u5f55Hugging Face\u4e86:<\/p>\n\n\n\n<p>from huggingface_hub import notebook_login<br><br>notebook_login()<\/p>\n\n\n\n<p>\u4ecediffusers\u5e93\u52a0\u8f7dStableDiffusionPipeline\u3002StableDiffusionPipeline\u662f\u4e00\u4e2a\u7aef\u5230\u7aef\u63a8\u7406\u7ba1\u9053\uff0c\u53ef\u7528\u4e8e\u4ece\u6587\u672c\u751f\u6210\u56fe\u50cf\u3002<\/p>\n\n\n\n<p>\u6211\u4eec\u5c06\u52a0\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b\u6743\u91cd\u3002\u6a21\u578bid\u5c06\u662fCompVis\/ stable-diffusion-v1-4\uff0c\u6211\u4eec\u4e5f\u5c06\u4f7f\u7528\u4e00\u4e2a\u7279\u5b9a\u7c7b\u578b\u7684\u4fee\u8ba2\u7248torch_dtype\u51fd\u6570\u3002\u8bbe\u7f6e<strong>revision<\/strong>&nbsp;= \u201c<strong>fp16<\/strong>\u201d\u4ece\u534a\u7cbe\u5ea6\u5206\u652f\u52a0\u8f7d\u6743\u91cd\uff0c\u5e76\u8bbe\u7f6etorch_dtype = &#8221; torch\u3002<strong>torch_dtype<\/strong>&nbsp;= \u201c<strong>torch.float16<\/strong>\u201d\u544a\u8bc9\u6a21\u578b\u4f7f\u7528fp16\u7684\u6743\u91cd<\/p>\n\n\n\n<p>\u50cf\u8fd9\u6837\u8bbe\u7f6e\u53ef\u4ee5\u51cf\u5c11\u5185\u5b58\uff0c\u5e76\u4e14\u8fd0\u884c\u7684\u66f4\u5feb\u3002<\/p>\n\n\n\n<p>import torch<br>from diffusers import StableDiffusionPipeline<br><br># make sure you&#8217;re logged in with `huggingface-cli login`<br>pipe = StableDiffusionPipeline.from_pretrained(&#8220;CompVis\/stable-diffusion-v1-4&#8243;, revision=&#8221;fp16&#8221;, torch_dtype=torch.float16)<\/p>\n\n\n\n<p>\u4e0b\u9762\u8bbe\u7f6eGPU<\/p>\n\n\n\n<p>pipe = pipe.to(&#8220;cuda&#8221;)<\/p>\n\n\n\n<p>\u73b0\u5728\u5c31\u53ef\u4ee5\u751f\u6210\u56fe\u7247\u4e86\u3002\u6211\u4eec\u5c06\u7f16\u5199\u4e00\u4e2a\u63d0\u793a\u6587\u672c\u5e76\u5c06\u5176\u4ea4\u7ed9\u7ba1\u9053\u5e76\u6253\u5370\u8f93\u51fa\u3002\u8fd9\u91cc\u7684\u8f93\u5165\u63d0\u793a\u662f\u201can astronaut riding a horse\u201d\uff0c\u8ba9\u770b\u770b\u8f93\u51fa:<\/p>\n\n\n\n<p>prompt = &#8220;a photograph of an astronaut riding a horse&#8221;<br>image = pipe(prompt).images[0] # image here is in [PIL format](https:\/\/pillow.readthedocs.io\/en\/stable\/)<br><br># Now to display an image you can do either save it such as:<br>image.save(f&#8221;astronaut_rides_horse.png&#8221;)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEgngWYAqUo-1xfzBuWxZO7ycR1BJ90QmpjJXwc7FzIyABXKOE1o-9qoUCynOxG73u0c17QLtaBMHT8S4U8Baf8R33jFMqN1HGzcs3URXU8h4CCxHAAEFGWqNng4MT2lyd4TgPe4-ex5zk6OvPfTtA4v1ASTVbpHf46foSx4D1o3d360A_6y7Wbo4KoUHw=w519-h519\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u6bcf\u6b21\u8fd0\u884c\u4e0a\u9762\u7684\u4ee3\u7801\uff0c\u90fd\u4f1a\u5f97\u5230\u4e0d\u540c\u7684\u56fe\u50cf\u3002\u4e3a\u4e86\u6bcf\u6b21\u90fd\u5f97\u5230\u76f8\u540c\u7684\u7ed3\u679c\uff0c\u4f60\u53ef\u4ee5\u5411\u4f20\u9012\u4e00\u4e2a\u968f\u673a\u79cd\u5b50\uff0c\u5982\u4e0b\u9762\u7684\u4ee3\u7801\u6240\u793a:<\/p>\n\n\n\n<p>import torch<br>generator = torch.Generator(&#8220;cuda&#8221;).manual_seed(1024)<br>image = pipe(prompt, generator=generator).images[0]<br>image<\/p>\n\n\n\n<p>\u8fd8\u53ef\u4ee5\u4f7f\u7528num_inference_steps\u53c2\u6570\u66f4\u6539\u6b65\u9aa4\u7684\u6570\u91cf\u3002\u4e00\u822c\u6765\u8bf4\uff0c\u63a8\u7406\u6b65\u9aa4\u8d8a\u591a\uff0c\u751f\u6210\u7684\u56fe\u50cf\u8d28\u91cf\u8d8a\u9ad8\uff0c\u4f46\u751f\u6210\u7ed3\u679c\u9700\u8981\u66f4\u591a\u7684\u65f6\u95f4\u3002\u5982\u679c\u4f60\u60f3\u8981\u66f4\u5feb\u7684\u7ed3\u679c\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u66f4\u5c11\u7684\u6b65\u9aa4\u3002<\/p>\n\n\n\n<p>\u4e0b\u9762\u7684\u5355\u5143\u683c\u4f7f\u7528\u4e0e\u524d\u9762\u76f8\u540c\u7684\u79cd\u5b50\uff0c\u4f46\u6b65\u9aa4\u66f4\u5c11\u3002\u6ce8\u610f\u4e00\u4e9b\u7ec6\u8282\uff0c\u5982\u9a6c\u5934\u6216\u5934\u76d4\uff0c\u6bd4\u524d\u4e00\u5f20\u56fe\u5b9a\u4e49\u5f97\u66f4\u6a21\u7cca:<\/p>\n\n\n\n<p>import torch<br>generator = torch.Generator(&#8220;cuda&#8221;).manual_seed(1024)<br>image = pipe(prompt, num_inference_steps=15, generator=generator).images[0]<br>image<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEh7vSo4J0nYMMs9ZQr-UI7kLKI39FfUc_sE3pNhFzrnGULbSeSl7Oah-s_mEk22fYDIXBc7VpMeFQ60t6uDrDPZGfA59mK-GHdlKSjOnO0bQSUtZ9ZojsdFzBTqH6kqdVPA9RHDjz4pnxgSZRvff45JDmasxCwY80gp4dNdJy2x8R9QIMNOpOTyQHAcCA=w596-h596\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u53e6\u4e00\u4e2a\u53c2\u6570\u662fGuidance Scale\u3002\u8fd9\u662f\u4e00\u79cd\u63d0\u9ad8\u5bf9\u6761\u4ef6\u4fe1\u53f7\u7684\u4f9d\u4ece\u6027\u7684\u65b9\u6cd5\uff0c\u5728\u6269\u6563\u6a21\u578b\u7684\u60c5\u51b5\u4e0b\u5b83\u662f\u6587\u672c\u548c\u6574\u4f53\u6837\u672c\u8d28\u91cf\u3002<\/p>\n\n\n\n<p>\u7b80\u5355\u5730\u8bf4\uff0c\u65e0\u5206\u7c7b\u4fe1\u606f\u7684\u5f15\u5bfc\u8feb\u4f7f\u751f\u6210\u4e0e\u6587\u672c\u63d0\u793a\u66f4\u597d\u5730\u5339\u914d\u3002\u50cf7\u62168.5\u8fd9\u6837\u7684\u6570\u5b57\u53ef\u4ee5\u7ed9\u51fa\u5f88\u597d\u7684\u7ed3\u679c\u3002\u5982\u679c\u4f7f\u7528\u7684\u6570\u5b57\u975e\u5e38\u5927\u56fe\u50cf\u53ef\u80fd\u770b\u8d77\u6765\u5f88\u597d\uff0c\u4f46\u4f1a\u51cf\u5c11\u591a\u6837\u6027\u3002<\/p>\n\n\n\n<p>\u5982\u679c\u8981\u4e3a\u76f8\u540c\u7684\u6587\u672c\u63d0\u793a\u751f\u6210\u591a\u4e2a\u56fe\u50cf\uff0c\u53ea\u9700\u91cd\u590d\u591a\u6b21\u8f93\u5165\u76f8\u540c\u7684\u6587\u672c\u5373\u53ef\u3002\u6211\u4eec\u53ef\u4ee5\u628a\u6587\u672c\u7684\u5217\u8868\u53d1\u9001\u5230\u6a21\u578b\u4e2d\uff0c\u8ba9\u6211\u4eec\u7f16\u5199\u4e00\u4e2a\u52a9\u624b\u51fd\u6570\u6765\u663e\u793a\u591a\u4e2a\u56fe\u50cf<\/p>\n\n\n\n<p>from PIL import Image<br><br>def image_grid(imgs, rows, cols):<br>assert len(imgs) == rows*cols<br><br>w, h = imgs[0].size<br>grid = Image.new(&#8216;RGB&#8217;, size=(cols*w, rows*h))<br>grid_w, grid_h = grid.size<br><br>for i, img in enumerate(imgs):<br>grid.paste(img, box=(i%cols*w, i\/\/cols*h))<br>return grid<\/p>\n\n\n\n<p>\u73b0\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u751f\u6210\u591a\u4e2a\u56fe\u50cf\u5e76\u4e00\u8d77\u5c55\u793a\u4e86\u3002<\/p>\n\n\n\n<p>num_images = 3<br>prompt = [&#8220;a photograph of an astronaut riding a horse&#8221;] * num_images<br><br>images = pipe(prompt).images<br><br>grid = image_grid(images, rows=1, cols=3)<br>grid<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEhsKEAJgD5J4mS70oy9BdO9FtkpFDn0IjR1O0KDsQJoRzJh-e4OOEukX3YCUnSH07SKiEHx41qOR_8cqb_aoo6J3vvvOxVnu1N0L2zFG9R9Bm74TerJ-IyPcJepWw1622Li0-ePaduzTlb0kqVtYbnbIrsx3oqVAHwCKeG7fpomD4ZpjUieEda6Rq_yiQ=w618-h206\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u8fd8\u53ef\u4ee5\u751f\u6210n*m\u5f20\u56fe\u50cf:<\/p>\n\n\n\n<p>num_cols = 3<br>num_rows = 4<br><br>prompt = [&#8220;a photograph of an astronaut riding a horse&#8221;] * num_cols<br><br>all_images = []<br>for i in range(num_rows):<br>images = pipe(prompt).images<br>all_images.extend(images)<br><br>grid = image_grid(all_images, rows=num_rows, cols=num_cols)<br>grid<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEhbbV8UE53A5wyBGu69ygjGKgdOzts1klHcxKOZprV8S78MQj7mrEBD2jNQL2K7OGgDt7Vkcyzf_qsXn_hW4ffTBrAjhkcN15fi6wtjMIDlsFj3ETLbq_0lgvftBZDsCVzc2QBH0pv5ZZI3UL4RiFAyADJc7hoY7-HM_mMVkRM3A9aD8i5Are1yUT_Nuw\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u751f\u6210\u7684\u56fe\u50cf\u9ed8\u8ba4\u5927\u5c0f\u4e3a512*512\u50cf\u7d20\u3002\u53ef\u4ee5\u4f7f\u7528height\u548cwidth\u53c2\u6570\u6765\u66f4\u6539\u751f\u6210\u56fe\u50cf\u7684\u9ad8\u5ea6\u548c\u5bbd\u5ea6\u3002\u8fd9\u91cc\u6709\u4e00\u4e9b\u9009\u62e9\u597d\u7684\u56fe\u7247\u5927\u5c0f\u7684\u6280\u5de7:<\/p>\n\n\n\n<p>\u5c06height\u548cwidth\u53c2\u6570\u90fd\u9009\u62e9\u4e3a8\u7684\u500d\u6570\u3002\u9ad8\u5ea6\u548c\u5bbd\u5ea6\u8bbe\u7f6e\u4e3a\u5c0f\u4e8e512,\u53ef\u80fd\u4f1a\u5bfc\u81f4\u8d28\u91cf\u6bd4\u8f83\u5dee\u5982\u679c\u4e24\u4e2a\u90fd\u8bbe\u7f6e\u4e3a512\u4ee5\u4e0a\u53ef\u80fd\u4f1a\u51fa\u73b0\u5168\u5c40\u8fde\u8d2f\u6027(Global Coherence)\uff0c\u6240\u4ee5\u5982\u679c\u9700\u8981\u5927\u56fe\u50cf\u53ef\u4ee5\u8bd5\u8bd5\u9009\u4e00\u4e2a\u503c\u56fa\u5b9a\u7684512\uff0c\u800c\u53e6\u4e00\u4e2a\u5927\u4e8e512\u3002\u4f8b\u5982\u4e0b\u9762\u7684\u5927\u5c0f\uff1a<\/p>\n\n\n\n<p>prompt = &#8220;a photograph of an astronaut riding a horse&#8221;<br><br>image = pipe(prompt, height=512, width=768).images[0]<br>image<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.blogger.com\/blog\/post\/edit\/1765273644094339562\/6244997231416966409#\"><img decoding=\"async\" data-src=\"https:\/\/blogger.googleusercontent.com\/img\/a\/AVvXsEjggXOojF935jmq5WYSwifgjznotgHzip9RpASYy4HrrCwXzG5L5VZSrfcfFHZkUk2Co5eupYZi1qkZGNfL7P9_OUNM1u0z9Xb_zdhBG-IeA_rWY-JbuSwMqSs90HsmrYu823tRFySDyBR-bl_N1iNrxNQhrOzUX2yabrAvpfBSo1UKPqeH8DMQtHPOYA=w594-h396\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p>\u5efa\u7acb\u4f60\u81ea\u5df1\u7684\u5904\u7406\u7ba1\u9053<\/p>\n\n\n\n<p>\u6211\u4eec\u4e5f\u53ef\u4ee5\u901a\u8fc7<strong>Diffusers<\/strong>\u81ea\u5b9a\u4e49\u6269\u6563\u7ba1\u9053\u4e0e\u6269\u6563\u5668\u3002\u8fd9\u91cc\u5c06\u6f14\u793a\u5982\u4f55\u4f7f\u7528\u4e0d\u540c\u7684scheduler\uff0c\u5373Katherine Crowson\u7684K-LMS\u8c03\u5ea6\u5668\u3002<\/p>\n\n\n\n<p>\u6211\u4eec\u5148\u770b\u4e00\u4e0bStableDiffusionPipeline:<\/p>\n\n\n\n<p>import torch<br>torch_device = &#8220;cuda&#8221; if torch.cuda.is_available() else &#8220;cpu&#8221;<\/p>\n\n\n\n<p>\u9884\u8bad\u7ec3\u7684\u6a21\u578b\u5305\u62ec\u5efa\u7acb\u4e00\u4e2a\u5b8c\u6574\u7684\u7ba1\u9053\u6240\u9700\u7684\u6240\u6709\u7ec4\u4ef6\u3002\u5b83\u4eec\u5b58\u653e\u5728\u4ee5\u4e0b\u6587\u4ef6\u5939\u4e2d:<\/p>\n\n\n\n<p><strong>text_encoder<\/strong>:Stable Diffusion\u4f7f\u7528CLIP\uff0c\u4f46\u5176\u4ed6\u6269\u6563\u6a21\u578b\u53ef\u80fd\u4f7f\u7528\u5176\u4ed6\u7f16\u7801\u5668\uff0c\u5982BERT\u3002<\/p>\n\n\n\n<p><strong>tokenizer<\/strong>:\u5b83\u5fc5\u987b\u4e0etext_encoder\u6a21\u578b\u4f7f\u7528\u7684\u6807\u8bb0\u5668\u5339\u914d\u3002<\/p>\n\n\n\n<p><strong>scheduler<\/strong>:\u7528\u4e8e\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u9010\u6b65\u5411\u56fe\u50cf\u6dfb\u52a0\u566a\u58f0\u7684scheduler\u7b97\u6cd5\u3002<\/p>\n\n\n\n<p><strong>U-Net<\/strong>:\u7528\u4e8e\u751f\u6210\u8f93\u5165\u7684\u6f5c\u5728\u8868\u793a\u7684\u6a21\u578b\u3002<\/p>\n\n\n\n<p><strong>VAE<\/strong>\uff0c\u6211\u4eec\u5c06\u4f7f\u7528\u5b83\u5c06\u6f5c\u5728\u7684\u8868\u793a\u89e3\u7801\u4e3a\u771f\u5b9e\u7684\u56fe\u50cf\u3002<\/p>\n\n\n\n<p>\u53ef\u4ee5\u901a\u8fc7\u5f15\u7528\u7ec4\u4ef6\u88ab\u4fdd\u5b58\u7684\u6587\u4ef6\u5939\uff0c\u4f7f\u7528from_pretraining\u7684\u5b50\u6587\u4ef6\u5939\u53c2\u6570\u6765\u52a0\u8f7d\u7ec4\u4ef6\u3002<\/p>\n\n\n\n<p>from transformers import CLIPTextModel, CLIPTokenizer<br>from diffusers import AutoencoderKL, UNet2DConditionModel, PNDMScheduler<br><br># 1. Load the autoencoder model which will be used to decode the latents into image space.<br>vae = AutoencoderKL.from_pretrained(&#8220;CompVis\/stable-diffusion-v1-4&#8243;, subfolder=&#8221;vae&#8221;)<br><br># 2. Load the tokenizer and text encoder to tokenize and encode the text.<br>tokenizer = CLIPTokenizer.from_pretrained(&#8220;openai\/clip-vit-large-patch14&#8221;)<br>text_encoder = CLIPTextModel.from_pretrained(&#8220;openai\/clip-vit-large-patch14&#8221;)<br><br># 3. The UNet model for generating the latents.<br>unet = UNet2DConditionModel.from_pretrained(&#8220;CompVis\/stable-diffusion-v1-4&#8243;, subfolder=&#8221;unet&#8221;)<\/p>\n\n\n\n<p>\u73b0\u5728\uff0c\u6211\u4eec\u4e0d\u52a0\u8f7d\u9884\u5b9a\u4e49\u7684scheduler\uff0c\u800c\u662f\u52a0\u8f7dK-LMS<\/p>\n\n\n\n<p>from diffusers import LMSDiscreteScheduler<br><br>scheduler = LMSDiscreteScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule=&#8221;scaled_linear&#8221;, num_train_timesteps=1000)<\/p>\n\n\n\n<p>\u5c06\u6a21\u578b\u79fb\u52a8\u5230GPU\u4e0a\u3002<\/p>\n\n\n\n<p>vae = vae.to(torch_device)<br>text_encoder = text_encoder.to(torch_device)<br>unet = unet.to(torch_device)<\/p>\n\n\n\n<p>\u5b9a\u4e49\u7528\u4e8e\u751f\u6210\u56fe\u50cf\u7684\u53c2\u6570\u3002\u4e0e\u524d\u9762\u7684\u793a\u4f8b\u76f8\u6bd4\uff0c\u8bbe\u7f6enum_inference_steps = 100\u6765\u83b7\u5f97\u66f4\u660e\u786e\u7684\u56fe\u50cf\u3002<\/p>\n\n\n\n<p>prompt = [&#8220;a photograph of an astronaut riding a horse&#8221;]<br><br>height = 512 # default height of Stable Diffusion<br>width = 512 # default width of Stable Diffusion<br><br>num_inference_steps = 100 # Number of denoising steps<br><br>guidance_scale = 7.5 # Scale for classifier-free guidance<br><br>generator = torch.manual_seed(32) # Seed generator to create the inital latent noise<br><br>batch_size = 1<\/p>\n\n\n\n<p>\u83b7\u53d6\u6587\u672c\u63d0\u793a\u7684text_embeddings\u3002\u7136\u540e\u5c06\u5d4c\u5165\u7528\u4e8e\u8c03\u6574U-Net\u6a21\u578b\u3002<\/p>\n\n\n\n<p>text_input = tokenizer(prompt, padding=&#8221;max_length&#8221;, max_length=tokenizer.model_max_length, truncation=True, return_tensors=&#8221;pt&#8221;)<br><br>with torch.no_grad():<br>text_embeddings = text_encoder(text_input.input_ids.to(torch_device))[0]<\/p>\n\n\n\n<p>\u83b7\u5f97\u7528\u4e8e\u65e0\u5206\u7c7b\u5668\u5f15\u5bfc\u7684\u65e0\u6761\u4ef6\u6587\u672c\u5d4c\u5165\uff0c\u8fd9\u53ea\u662f\u586b\u5145\u4ee4\u724c(\u7a7a\u6587\u672c)\u7684\u5d4c\u5165\u3002\u5b83\u4eec\u9700\u8981\u5177\u6709\u4e0etext_embeddings (batch_size\u548cseq_length)\u76f8\u540c\u7684\u5f62\u72b6\u3002<\/p>\n\n\n\n<p>max_length = text_input.input_ids.shape[-1]<br>uncond_input = tokenizer(<br>[&#8220;&#8221;] * batch_size, padding=&#8221;max_length&#8221;, max_length=max_length, return_tensors=&#8221;pt&#8221;<br>)<br>with torch.no_grad():<br>uncond_embeddings = text_encoder(uncond_input.input_ids.to(torch_device))[0]<\/p>\n\n\n\n<p>\u5bf9\u4e8e\u65e0\u5206\u7c7b\u7684\u5f15\u5bfc\uff0c\u9700\u8981\u8fdb\u884c\u4e24\u6b21\u5411\u524d\u4f20\u9012\u3002\u7b2c\u4e00\u4e2a\u662f\u6761\u4ef6\u8f93\u5165(text_embeddings)\uff0c\u7b2c\u4e8c\u4e2a\u662f\u65e0\u6761\u4ef6\u5d4c\u5165(uncond_embeddings)\u3002\u628a\u4e24\u8005\u8fde\u63a5\u5230\u4e00\u4e2a\u6279\u5904\u7406\u4e2d\uff0c\u4ee5\u907f\u514d\u8fdb\u884c\u4e24\u6b21\u5411\u524d\u4f20\u9012:<\/p>\n\n\n\n<p>text_embeddings = torch.cat([uncond_embeddings, text_embeddings])<\/p>\n\n\n\n<p>\u751f\u6210\u521d\u59cb\u968f\u673a\u566a\u58f0:<\/p>\n\n\n\n<p>latents = torch.randn(<br>(batch_size, unet.in_channels, height \/\/ 8, width \/\/ 8),<br>generator=generator,<br>)<br>latents = latents.to(torch_device)<\/p>\n\n\n\n<p>\u4ea7\u751f\u7684\u5f62\u72b6\u4e3a64 * 64\u7684\u968f\u673a\u6f5c\u5728\u7a7a\u95f4\u3002\u6a21\u578b\u4f1a\u5c06\u8fd9\u79cd\u6f5c\u5728\u7684\u8868\u793a(\u7eaf\u566a\u58f0)\u8f6c\u6362\u4e3a512 * 512\u7684\u56fe\u50cf\u3002<\/p>\n\n\n\n<p>\u4f7f\u7528\u6240\u9009\u7684num_inference_steps\u521d\u59cb\u5316scheduler\u3002\u8fd9\u5c06\u8ba1\u7b97sigma\u548c\u53bb\u566a\u8fc7\u7a0b\u4e2d\u4f7f\u7528\u7684\u786e\u5207\u6b65\u957f\u503c:<\/p>\n\n\n\n<p>scheduler.set_timesteps(num_inference_steps)<\/p>\n\n\n\n<p>K-LMS\u9700\u8981\u7528\u5b83\u7684sigma\u503c\u4e58\u4ee5\u6f5c\u5728\u7a7a\u95f4\u7684\u503c:<\/p>\n\n\n\n<p>latents = latents * scheduler.init_noise_sigma<\/p>\n\n\n\n<p>\u6700\u540e\u5c31\u662f\u53bb\u566a\u7684\u5faa\u73af:<\/p>\n\n\n\n<p>from tqdm.auto import tqdm<br>from torch import autocast<br><br>for t in tqdm(scheduler.timesteps):<br># expand the latents if we are doing classifier-free guidance to avoid doing two forward passes.<br>latent_model_input = torch.cat([latents] * 2)<br><br>latent_model_input = scheduler.scale_model_input(latent_model_input, t)<br><br># predict the noise residual<br>with torch.no_grad():<br>noise_pred = unet(latent_model_input, t, encoder_hidden_states=text_embeddings).sample<br><br># perform guidance<br>noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)<br>noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text &#8211; noise_pred_uncond)<br><br># compute the previous noisy sample x_t -&gt; x_t-1<br>latents = scheduler.step(noise_pred, t, latents).prev_sample<\/p>\n\n\n\n<p>\u7136\u540e\u5c31\u662f\u4f7f\u7528vae\u53ef\u5c06\u4ea7\u751f\u7684\u6f5c\u5728\u7a7a\u95f4\u89e3\u7801\u56de\u56fe\u50cf:<\/p>\n\n\n\n<p># scale and decode the image latents with vae<br>latents = 1 \/ 0.18215 * latents<br><br>with torch.no_grad():<br>image = vae.decode(latents).sample<\/p>\n\n\n\n<p>\u6700\u540e\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aPIL\uff0c\u4ee5\u4fbf\u6211\u4eec\u53ef\u4ee5\u663e\u793a\u6216\u4fdd\u5b58\u5b83\u3002<\/p>\n\n\n\n<p>image = (image \/ 2 + 0.5).clamp(0, 1)<br>image = image.detach().cpu().permute(0, 2, 3, 1).numpy()<br>images = (image * 255).round().astype(&#8220;uint8&#8221;)<br>pil_images = [Image.fromarray(image) for image in images]<br>pil_images[0]<\/p>\n\n\n\n<p>\u8fd9\u6837\u4e00\u4e2a\u5b8c\u6574\u7684Stable Diffusion\u6a21\u578b\u7684\u5904\u7406\u8fc7\u7a0b\u5c31\u5b8c\u6210\u4e86\u3002\u770b\u5b8c\u672c\u6587\u5e0c\u671b\u4f60\u5df2\u7ecf\u77e5\u9053\u4e86\u5982\u4f55\u4f7f\u7528Stable Diffusion\u4ee5\u53ca\u5b83\u5177\u4f53\u5de5\u4f5c\u7684\u539f\u7406\uff0c\u5982\u679c\u4f60\u5bf9\u4ed6\u7684\u5904\u7406\u6d41\u7a0b\u8fd8\u6709\u7591\u95ee\uff0c\u53ef\u4ee5\u901a\u8fc7\u81ea\u5b9a\u4e49\u5904\u7406\u7ba1\u9053\u6765\u6df1\u5165\u7684\u4e86\u89e3\u4ed6\u7684\u5de5\u4f5c\u6d41\u7a0b\uff0c\u5e0c\u671b\u672c\u6587\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n\n\n\n<p>\u5982\u679c\u4f60\u5bf9\u672c\u6587\u611f\u5174\u8da3 \u4ee3\u7801\u5728\u8fd9\u91cc\uff1a<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp;Stable Diffusion\u662f\u4e00\u4e2a\u6587\u672c\u5230\u56fe\u50cf\u7684\u6f5c\u5728\u6269\u6563\u6a21\u578b\uff0c\u7531CompVis\u3001Stabilit [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-28","post","type-post","status-publish","format-standard","hentry","category-tech"],"_links":{"self":[{"href":"https:\/\/vlog.xiaoyan.sbs\/index.php?rest_route=\/wp\/v2\/posts\/28","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vlog.xiaoyan.sbs\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vlog.xiaoyan.sbs\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vlog.xiaoyan.sbs\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/vlog.xiaoyan.sbs\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=28"}],"version-history":[{"count":1,"href":"https:\/\/vlog.xiaoyan.sbs\/index.php?rest_route=\/wp\/v2\/posts\/28\/revisions"}],"predecessor-version":[{"id":29,"href":"https:\/\/vlog.xiaoyan.sbs\/index.php?rest_route=\/wp\/v2\/posts\/28\/revisions\/29"}],"wp:attachment":[{"href":"https:\/\/vlog.xiaoyan.sbs\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=28"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vlog.xiaoyan.sbs\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=28"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vlog.xiaoyan.sbs\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=28"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}