{"id":18660,"date":"2024-08-26T14:43:22","date_gmt":"2024-08-26T06:43:22","guid":{"rendered":"https:\/\/www.1ai.net\/?p=18660"},"modified":"2024-08-26T15:26:37","modified_gmt":"2024-08-26T07:26:37","slug":"%e5%b8%a6%e4%bd%a0%e4%ba%86%e8%a7%a3ai%e7%bb%98%e7%94%bb%e5%a4%a7%e6%a8%a1%e5%9e%8bflux-1%ef%bc%8c%e5%8c%85%e6%8b%ac%e5%ae%9e%e6%b5%8b%e6%95%88%e6%9e%9c%e3%80%81%e4%bd%bf%e7%94%a8%e6%96%b9%e6%b3%95","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/18660.html","title":{"rendered":"Take you to understand the AI painting model FLUX.1, including actual measurement results, usage methods, etc."},"content":{"rendered":"<p>2024\u5e748\u67081\u65e5\uff0c\u9ed1\u68ee\u6797\u5b9e\u9a8c\u5ba4\u5b98\u5ba3\u6210\u7acb\uff0c\u540c\u65f6\u53d1\u5e03\u4e86<a title=\"\u67e5\u770bFLUX\u7684\u6240\u6709\u6587\u7ae0\" href=\"https:\/\/www.1ai.net\/tag\/flux\" target=\"_blank\" rel=\"noopener\">FLUX<\/a>.1\u6a21\u578b\u5957\u4ef6\u3002\u8fd9\u4e2a\u6708\u9505\u5934\u770b\u5230\u5f88\u591aAI\u5b66\u4e60\u7231\u597d\u8005\u3001\u521b\u4e1a\u8005\u3001\u81ea\u5a92\u4f53\u7eb7\u7eb7\u4ecb\u7ecd\u548c\u57fa\u4e8e<a href=\"https:\/\/www.1ai.net\/en\/tag\/flux\" title=\"\u3010\u67e5\u770b\u542b\u6709[FLUX]\u6807\u7b7e\u7684\u6587\u7ae0\u3011\" target=\"_blank\" rel=\"noopener\">FLUX<\/a>.1\u751f\u56fe\u4ee5\u53caLora\u8bad\u7ec3\uff0c\u751f\u56fe\u6548\u679c\u786e\u5b9e\u5f88\u68d2\u3002<\/p>\n<p>\u8d81\u8fd9\u4e2a\u5468\u672b\u5bf9FLUX\u505a\u4e86\u4e00\u4e9b\u5b66\u4e60\u6574\u7406\u548c\u6d4b\u8bd5\u7814\u7a76\u3002<\/p>\n<p><strong>\u5148\u770b\u6548\u679c<\/strong><\/p>\n<p>\u4ee5\u4e0b\u662f\u57fa\u4e8e<a title=\"\u67e5\u770bLiblibAI\u7684\u6240\u6709\u6587\u7ae0\" href=\"https:\/\/www.1ai.net\/tag\/liblibai\" target=\"_blank\" rel=\"noopener\">LiblibAI<\/a>\u4e0a\u7684\u3010FLUX.1\u54e9\u5e03\u5728\u7ebf\u53ef\u8fd0\u884c-\u9ed1\u6697\u68ee\u6797\u5de5\u4f5c\u5ba4\u00a0FLUX.1-dev-fp8\u3011\u6a21\u578b\u5728\u7ebf\u751f\u6210\u7684\u90e8\u5206\u56fe\u7247\u6548\u679c\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/08\/129229f1j00sit62v0017d000sg00sgm.jpg\" width=\"1024\" height=\"1024\" \/><\/p>\n<p>\u4e0b\u9762\uff0c\u4e00\u8d77\u5b66\u4e60\u4e86\u89e3FLUX\u7684\u7b80\u4ecb\u3001\u7814\u53d1\u56e2\u961f\u3001\u529f\u80fd\u7279\u70b9\u3001\u4f7f\u7528\u65b9\u6cd5\u5427\u3002<\/p>\n<p>\u4e00\u6587\u5e26\u4f60\u4e86\u89e3<strong><a title=\"\u67e5\u770bAI\u751f\u56fe\u6a21\u578b\u7684\u6240\u6709\u6587\u7ae0\" href=\"https:\/\/www.1ai.net\/tag\/ai%e7%94%9f%e5%9b%be%e6%a8%a1%e5%9e%8b\" target=\"_blank\" rel=\"noopener\">AI\u751f\u56fe\u6a21\u578b<\/a>FLUX.1<\/strong><\/p>\n<p><strong>\u5b98\u7f51<\/strong><\/p>\n<p>FLUX.1\u5b98\u7f51\u5730\u5740\uff1ablackforestlabs.ai<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/08\/57e63b04j00sit62v000pd000u000iem.jpg\" width=\"1080\" height=\"662\" \/><\/p>\n<p><strong>\u7b80\u4ecb<\/strong><\/p>\n<p>Flux\u662f\u4e00\u4e2a\u7531Black Forest Labs\uff08\u9ed1\u68ee\u6797\u5b9e\u9a8c\u5ba4\uff09\u5f00\u53d1\u7684AI\u56fe\u50cf\u751f\u6210\u6a21\u578b\uff0c\u5b83\u7ee7\u627f\u4e86Stable Diffusion\u7684\u521b\u65b0\u7cbe\u795e\u548c\u6280\u672f\u4f18\u52bf\u3002Flux\u6a21\u578b\u62e5\u670912B\u53c2\u6570\uff0c\u662f\u76ee\u524d\u6df1\u53d7AI\u7231\u597d\u8005\u559c\u6b22\u7684\u6587\u751f\u56fe\u6a21\u578b\u4e4b\u4e00\u3002Flux.1\u7684\u547d\u540d\u5bd3\u610f\u7740\u5176\u5728\u56fe\u50cf\u751f\u6210\u9886\u57df\u7684\u6d41\u52a8\u6027\u548c\u521b\u65b0\u6027\uff0c\u65e8\u5728\u4e3a\u7528\u6237\u5e26\u6765\u6e90\u6e90\u4e0d\u65ad\u7684\u521b\u610f\u548c\u7075\u611f\u3002<\/p>\n<p><strong>\u56e2\u961f<\/strong><\/p>\n<p>FLUX.1\u662f\u7531Black Forest Labs\u63a8\u51fa\u7684AI\u56fe\u50cf\u751f\u6210\u6a21\u578b\uff0c\u8fd9\u4e2a\u56e2\u961f\u7531Stability AI\u7684\u524d\u6838\u5fc3\u6210\u5458\u7ec4\u6210\uff0c\u5305\u62ecRobin Rombach\u4ee5\u53ca\u5176\u4ed6\u51e0\u4f4d\u5728\u673a\u5668\u5b66\u4e60\u548c\u751f\u6210\u5f0fAI\u9886\u57df\u6709\u6df1\u539a\u80cc\u666f\u7684\u4e13\u5bb6\u3002Robin Rombach\u66fe\u662fStable Diffusion\u6a21\u578b\u7684\u4e3b\u8981\u5f00\u53d1\u8005\u4e4b\u4e00\uff0c\u5e76\u5728\u751f\u6210\u5f0fAI\u9886\u57df\u6709\u7740\u663e\u8457\u7684\u8d21\u732e\u3002\u56e2\u961f\u6210\u5458\u8fd8\u5305\u62ecAndreas Blattmann\u3001Patrick Esser\u3001Dominik Lorenz\u7b49\uff0c\u4ed6\u4eec\u5728\u751f\u6210\u5f0fAI\u9886\u57df\u6709\u7740\u4e30\u5bcc\u7684\u7ecf\u9a8c\u3002<\/p>\n<p>Black Forest Labs\u56e2\u961f\u81f4\u529b\u4e8e\u5f00\u53d1\u548c\u63a8\u8fdb\u7528\u4e8e\u56fe\u50cf\u3001\u89c6\u9891\u7b49\u5a92\u4f53\u7684\u6700\u5148\u8fdb\u7684\u751f\u6210\u5f0f\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u5e76\u5efa\u7acb\u65b0\u7684\u884c\u4e1a\u6807\u51c6\u3002<\/p>\n<p><strong>\u529f\u80fd\u7279\u70b9<\/strong><\/p>\n<p>FLUX.1\u6a21\u578b\u7cfb\u5217\uff0c\u662f\u4e00\u4e2a\u5728\u6587\u672c\u5230\u56fe\u50cf\u5408\u6210\u9886\u57df\u8bbe\u5b9a\u65b0\u6807\u51c6\u7684\u6a21\u578b\u5957\u4ef6\u3002FLUX.1\u6a21\u578b\u7cfb\u5217\u4ee5\u5176\u56fe\u50cf\u7ec6\u8282\u3001\u63d0\u793a\u9075\u5faa\u6027\u3001\u98ce\u683c\u591a\u6837\u6027\u548c\u573a\u666f\u590d\u6742\u6027\u800c\u8457\u79f0\u3002<\/p>\n<p>FLUX.1\u6a21\u578b\u7cfb\u5217\u5305\u542b\u4e09\u79cd\u4e0d\u540c\u7684\u53d8\u4f53\uff0c\u5206\u522b\u662f\uff1a<\/p>\n<ul>\n<li>FLUX.1 [pro]\uff1a\u63d0\u4f9b\u6700\u5148\u8fdb\u7684\u56fe\u50cf\u751f\u6210\u6027\u80fd\uff0c\u5177\u6709\u9876\u7ea7\u7684\u63d0\u793a\u9075\u5faa\u6027\u3001\u89c6\u89c9\u8d28\u91cf\u3001\u56fe\u50cf\u7ec6\u8282\u548c\u8f93\u51fa\u591a\u6837\u6027\u3002<\/li>\n<li>FLUX.1 [dev]\uff1a\u8fd9\u662f\u4e00\u79cd\u7528\u4e8e\u975e\u5546\u4e1a\u5e94\u7528\u7684\u5f00\u653e\u8f7b\u91cf\u7ea7\u3001\u6307\u5bfc\u6027\u63d0\u70bc\u6a21\u578b\uff0c\u76f4\u63a5\u4ece FLUX.1 [pro] \u4e2d\u63d0\u70bc\u51fa\u6765\uff0c\u5177\u6709\u7c7b\u4f3c\u7684\u8d28\u91cf\u548c\u63d0\u793a\u9075\u5faa\u80fd\u529b\uff0c\u540c\u65f6\u6bd4\u540c\u7b49\u5927\u5c0f\u7684\u6807\u51c6\u6a21\u578b\u66f4\u9ad8\u6548\u3002<\/li>\n<li>FLUX.1 [schnell]\uff1a\u8fd9\u662fFLUX.1\u6700\u5feb\u7684\u6a21\u578b\uff0c\u4e3a\u672c\u5730\u5f00\u53d1\u548c\u4e2a\u4eba\u4f7f\u7528\u91cf\u8eab\u5b9a\u5236\uff0c\u516c\u5f00\u63d0\u4f9bApache2.0\u8bb8\u53ef\u3002<\/li>\n<\/ul>\n<p><strong>\u4f7f\u7528\u8bf4\u660e<\/strong><\/p>\n<p><strong>FLUX.1 [pro]\uff1a<\/strong>\u901a\u8fc7API \u6ce8\u518c FLUX.1 [pro] \u8bbf\u95ee\u6743\u9650\u3002FLUX.1 [pro] \u4e5f\u53ef\u901a\u8fc7 Replicate \u548c fal.ai \u83b7\u5f97\u3002<\/p>\n<p><strong>FLUX.1 [dev]\uff1a<\/strong>\u5728 HuggingFace \u4e0a\u63d0\u4f9b\uff0c\u53ef\u4ee5\u76f4\u63a5\u5728 Replicate \u6216 Fal.ai \u4e0a\u8bd5\u7528\uff0c\u4e5f\u53ef\u4ee5\u4e0b\u8f7d\u6a21\u578b\u81f3\u672c\u5730\u7535\u8111\u8fd0\u884c\u4f7f\u7528\u3002<\/p>\n<p><strong>FLUX.1 [schnell]\uff1a<\/strong>\u5728 Apache2.0 \u8bb8\u53ef\u4e0b\u516c\u5f00\u63d0\u4f9b\uff0c\u5728 Hugging Face \u4e0a\u63d0\u4f9b\uff0c\u63a8\u7406\u4ee3\u7801\u53ef\u4ee5\u5728 GitHub \u548c HuggingFace \u7684 Diffusers \u4e2d\u627e\u5230\uff0c\u4e0b\u8f7d\u6a21\u578b\u81f3\u672c\u5730\u7535\u8111\u8fd0\u884c\u4f7f\u7528\u3002<\/p>\n<p><strong>\u56fd\u5185\u5982\u4f55\u4f7f\u7528\uff1f<\/strong><\/p>\n<p>\u5728\u56fd\u5185\u7f51\u7edc\u73af\u5883\u4e0b\uff0c\u4f53\u9a8cFLUX.1\u6548\u679c\u4e3b\u8981\u901a\u8fc7<a href=\"https:\/\/www.1ai.net\/en\/tag\/liblibai\" title=\"\u3010\u67e5\u770b\u542b\u6709[LiblibAI]\u6807\u7b7e\u7684\u6587\u7ae0\u3011\" target=\"_blank\" rel=\"noopener\">LiblibAI<\/a>\u5728\u7ebf\u751f\u56fe\u5b9e\u73b0\uff0c\u4ee5\u4e0b\u662f\u5177\u4f53\u4f7f\u7528\u6b65\u9aa4\u3002<\/p>\n<p>\u8fdb\u5165LiblibAI\u5b98\u7f51\uff08www.liblib.art\uff09\uff0c\u70b9\u51fb\u5de6\u4fa7\u3010\u5728\u7ebf\u751f\u56fe\u3011\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/08\/d854cf8bj00sit62v002td000u000hmm.jpg\" width=\"1080\" height=\"634\" \/><\/p>\n<p>\u8fdb\u5165\u751f\u56fe\u9875\u9762\uff0c\u9009\u62e9\u6a21\u578b\u3010FLUX.1\u54e9\u5e03\u5728\u7ebf\u53ef\u8fd0\u884c-\u9ed1\u6697\u68ee\u6797\u5de5\u4f5c\u5ba4\u00a0FLUX.1-dev-fp8\u3011\uff0c\u8f93\u5165\u63d0\u793a\u8bcd\uff0c\u8bbe\u7f6e\u751f\u56fe\u53c2\u6570\uff0c\u70b9\u51fb\u3010\u5f00\u59cb\u751f\u56fe\u3011\uff0c\u751f\u56fe\u5b8c\u6210\u540e\u53ef\u4ee5\u5728\u9884\u89c8\u7a97\u53e3\u770b\u56fe\u7247\u751f\u6210\u6548\u679c\u548c\u4e0b\u8f7d\u56fe\u7247\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/08\/cec86440j00sit62v001wd000u000hmm.jpg\" width=\"1080\" height=\"634\" \/><\/p>\n<p>\u5230\u8fd9\u91cc\uff0c\u54b1\u4eec\u4e00\u8d77\u4f7f\u7528FLUX.1[dev]\u5b8c\u6210\u4e86\u4e00\u6b21\u56fe\u7247\u751f\u6210\uff0c\u4f60\u5b66\u4f1a\u4e86\u5417\uff1f<\/p>\n<p><strong>\u5b66\u4e60\u603b\u7ed3<\/strong><\/p>\n<p>\u4e00\u8d77\u6765\u56de\u987e\u603b\u7ed3\u672c\u6b21\u5b66\u4e60\u5185\u5bb9\uff1a<\/p>\n<ul>\n<li>FLUX\u5b98\u7f51\u3002<\/li>\n<li>FLUX\u7b80\u4ecb\u3002<\/li>\n<li>FLUX\u56e2\u961f\u3002<\/li>\n<li>FLUX\u4f7f\u7528\u8bf4\u660e\u3002<\/li>\n<li>\u56fd\u5185\u5982\u4f55\u4f7f\u7528FLUX\u3002<\/li>\n<\/ul>\n<p>\u770b\u5b8c\u540e\uff0c\u54b1\u4eec\u5bf9FLUX\u6709\u4e86\u4e00\u4e2a\u8f83\u5168\u9762\u7684\u8ba4\u77e5\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>On August 1, 2024, the Black Forest Laboratory officially announced its establishment, and at the same time released the FLUX.1 model suite. This month, the pot head saw a lot of AI learning enthusiasts, entrepreneurs, and self media have introduced and based on FLUX.1 raw map as well as Lora training, and the raw map effect is really great. Take advantage of this weekend to do some learning and organizing and testing research on FLUX. First look at the effect The following is based on LiblibAI on the [FLUX.1 Mileage cloth online runnable - Dark Forest Studio FLUX.1-dev-fp8] model online generation of part of the picture effect. Below, learn together to understand the introduction of FLUX, the R &amp; D team, functional features, use it. An article to take you to understand the AI raw model FLUX.1 official website FLUX.1 official website address:<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[149,144],"tags":[3439,491,3853,819],"collection":[302],"class_list":["post-18660","post","type-post","status-publish","format-standard","hentry","category-jiaocheng","category-baike","tag-ai","tag-flux","tag-liblibai","collection-prompt"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/18660","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=18660"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/18660\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=18660"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=18660"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=18660"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=18660"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}