\u4e09\u79d2\u949f\u770b\u61c2\uff1a\u65e0\u9700\u8054\u7f51\u3001\u65e0\u9650\u5236\u751f\u6210\uff0cCivitai\u6d77\u91cf\u6a21\u578b\u5403\u904d\u6240\u6709\u753b\u98ce\uff0c\u786c\u4ef6\u591f\u5f3a\u5c31\u4e3a\u6240\u6b32\u4e3a\u3002<\/p>\n
\u6df1\u5ea6\u8bc4\u6d4b\u6b63\u6587\uff1a<\/p>\n
\u8bf4\u5230 AI \u7ed8\u56fe\uff0c\u5f88\u591a\u4eba\u7b2c\u4e00\u53cd\u5e94\u662f Midjourney\uff0c\u4f46\u771f\u6b63\u73a9\u51fa\u82b1\u3001\u73a9\u5230\u6781\u81f4\u3001\u73a9\u51fa\u4e2a\u4eba\u98ce\u683c\u7684\uff0c\u5f80\u5f80\u662f Stable Diffusion \u7684\u7528\u6237\u3002\u4f5c\u4e3a\u4e00\u6b3e\u5b8c\u5168\u5f00\u6e90\u3001\u53ef\u672c\u5730\u90e8\u7f72\u7684 AI \u7ed8\u56fe\u6a21\u578b\uff0cStable Diffusion \u4ece 2022 \u5e74\u5f00\u6e90\u4ee5\u6765\uff0c\u5df2\u7ecf\u957f\u6210\u4e86\u4e00\u4e2a\u5e9e\u6742\u4f46\u6781\u5ea6\u7075\u6d3b\u7684\u5de5\u5177\u751f\u6001\u3002\u5b83\u7684\u6838\u5fc3\u9b45\u529b\u5728\u4e8e\uff1a\u4f60\u4e0d\u7528\u5411\u4efb\u4f55\u4e91\u7aef\u670d\u52a1\u4ed8\u8d39\uff0c\u4e5f\u4e0d\u7528\u62c5\u5fc3\u4f60\u7684\u521b\u4f5c\u88ab\u5e73\u53f0\u5ba1\u67e5\u6216\u9650\u6d41\uff0c\u53ea\u8981\u4f60\u7684\u663e\u5361\u591f\u597d\uff0c\u4f60\u5c31\u53ef\u4ee5\u65e0\u9650\u6b21\u751f\u6210\uff0c\u5e76\u4e14\u7528 Civitai \u4e0a\u51e0\u5341\u4e07\u4e2a\u793e\u533a\u6a21\u578b\uff0c\u753b\u51fa\u4efb\u4f55\u4f60\u60f3\u8981\u7684\u98ce\u683c\u3002<\/p>\n
\u6838\u5fc3\u529f\u80fd\u4e0e\u6280\u672f\u4eae\u70b9<\/p>\n
Stable Diffusion \u7684\u6280\u672f\u5e95\u5ea7\u662f Latent Diffusion Model\uff0c\u5b83\u4e0d\u50cf Midjourney \u90a3\u6837\u5b8c\u5168\u4f9d\u8d56\u4e91\u7aef\u9ed1\u7bb1\uff0c\u800c\u662f\u8ba9\u4f60\u81ea\u5df1\u63a7\u5236\u6574\u4e2a\u751f\u6210\u6d41\u7a0b\u3002\u76ee\u524d\u6700\u65b0\u7684\u7a33\u5b9a\u7248\u672c\u662f SDXL \u548c SDXL Turbo\uff0cTurbo \u7248\u672c\u80fd\u5728 1-2 \u79d2\u5185\u751f\u6210\u4e00\u5f20 1024×1024 \u7684\u9ad8\u8d28\u91cf\u56fe\u7247\uff0c\u901f\u5ea6\u60ca\u4eba\u3002<\/p>\n
\u5173\u952e\u53c2\u6570\u4e0a\uff0cSDXL \u539f\u751f\u652f\u6301 1024×1024 \u5206\u8fa8\u7387\uff0c\u800c\u8001\u7248\u672c SD 1.5 \u53ea\u80fd\u8dd1 512×512 \u7136\u540e\u653e\u5927\u3002\u793e\u533a\u901a\u8fc7 LoRA\uff08Low-Rank Adaptation\uff09\u6280\u672f\uff0c\u8ba9\u4f60\u53ef\u4ee5\u7528\u51e0\u5341 MB \u7684\u5c0f\u6a21\u578b\u5fae\u8c03\u753b\u98ce\u3001\u89d2\u8272\u6216\u7269\u4f53\uff0c\u800c\u4e0d\u9700\u8981\u91cd\u65b0\u8bad\u7ec3\u6574\u4e2a\u5927\u6a21\u578b\u3002\u518d\u52a0\u4e0a ControlNet \u8fd9\u4e2a\u795e\u7ea7\u63d2\u4ef6\uff0c\u4f60\u53ef\u4ee5\u7528\u4e00\u5f20\u7ebf\u7a3f\u3001\u6df1\u5ea6\u56fe\u751a\u81f3\u4eba\u4f53\u59ff\u6001\u9aa8\u67b6\uff0c\u7cbe\u786e\u63a7\u5236 AI \u751f\u6210\u7684\u5185\u5bb9\u7ed3\u6784\u2014\u2014\u8fd9\u5728\u5546\u4e1a\u8bbe\u8ba1\u573a\u666f\u91cc\u51e0\u4e4e\u662f\u6740\u624b\u950f\u3002<\/p>\n
\u5178\u578b\u4f7f\u7528\u573a\u666f<\/p>\n
\u573a\u666f\u4e00\uff1a\u6e38\u620f\u6982\u5ff5\u8bbe\u8ba1\u3002\u4f60\u53ea\u9700\u8981\u4e00\u5f20\u7c97\u7cd9\u7684\u8349\u56fe\uff0c\u914d\u5408 ControlNet \u7684 Canny \u8fb9\u7f18\u68c0\u6d4b\uff0c\u5c31\u80fd\u751f\u6210\u98ce\u683c\u7edf\u4e00\u3001\u7ec6\u8282\u4e30\u5bcc\u7684\u89d2\u8272\u6216\u573a\u666f\u539f\u753b\u3002\u6bd4\u5982\u4e00\u4e2a\u72ec\u7acb\u6e38\u620f\u56e2\u961f\uff0c\u53ef\u4ee5\u7528 SDXL \u5728\u4e00\u5929\u5185\u751f\u6210 200 \u5f20\u4e0d\u540c\u89c6\u89d2\u7684\u602a\u7269\u8bbe\u8ba1\u7a3f\uff0c\u6210\u672c\u51e0\u4e4e\u4e3a\u96f6\u3002<\/p>\n
\u573a\u666f\u4e8c\uff1a\u7535\u5546\u4ea7\u54c1\u56fe\u3002\u5f88\u591a\u5c0f\u5546\u5bb6\u7528 Stable Diffusion \u751f\u6210\u4ea7\u54c1\u573a\u666f\u56fe\u3002\u62cd\u4e00\u5f20\u767d\u5e95\u4ea7\u54c1\u7167\u7247\uff0c\u7528 Inpainting\uff08\u5c40\u90e8\u91cd\u7ed8\uff09\u529f\u80fd\u628a\u80cc\u666f\u6362\u6210\u4efb\u4f55\u98ce\u683c\u2014\u2014\u5317\u6b27\u98ce\u3001\u8d5b\u535a\u670b\u514b\u3001\u65e5\u5f0f\u5ead\u9662\uff0c\u751a\u81f3\u4e0d\u9700\u8981\u8bf7\u6444\u5f71\u5e08\u3002\u67d0\u6dd8\u5b9d\u5356\u5bb6\u544a\u8bc9\u6211\uff0c\u4ed6\u4e00\u4e2a\u6708\u7701\u4e86 8000 \u5143\u5916\u5305\u6444\u5f71\u8d39\u3002<\/p>\n
\u573a\u666f\u4e09\uff1a\u4e2a\u4eba\u827a\u672f\u521b\u4f5c\u3002Civitai \u4e0a\u6709\u8d85\u8fc7 10 \u4e07\u4e2a\u793e\u533a\u6a21\u578b\uff0c\u4ece\u201c\u6c34\u58a8\u98ce\u201d\u5230\u201c\u5409\u535c\u529b\u52a8\u753b\u98ce\u201d\u5230\u201c\u5199\u5b9e\u6444\u5f71\u98ce\u201d\uff0c\u4e00\u952e\u5207\u6362\u3002\u4f60\u4e0d\u9700\u8981\u5b66\u4efb\u4f55\u7ed8\u753b\u6280\u5de7\uff0c\u53ea\u8981\u4f1a\u5199\u63d0\u793a\u8bcd\uff0c\u5c31\u80fd\u751f\u6210\u4e00\u5957\u98ce\u683c\u7edf\u4e00\u7684\u63d2\u753b\u7cfb\u5217\u3002<\/p>\n
\u4e0e\u540c\u7c7b\u5de5\u5177\u6a2a\u5411\u5bf9\u6bd4<\/p>\n
Midjourney \u662f Stable Diffusion \u6700\u5927\u3001\u4e5f\u662f\u6700\u76f4\u63a5\u7684\u5bf9\u624b\u3002Midjourney v6 \u7684\u753b\u8d28\u7ec6\u817b\u5ea6\u548c\u827a\u672f\u611f\u786e\u5b9e\u66f4\u5f3a\uff0c\u5c24\u5176\u5728\u4eba\u50cf\u548c\u5149\u5f71\u5904\u7406\u4e0a\uff0c\u51e0\u4e4e\u53ef\u4ee5\u4e71\u771f\u3002\u4f46 Midjourney \u7684\u81f4\u547d\u7f3a\u9677\u662f\uff1a\u4f60\u65e0\u6cd5\u63a7\u5236\u751f\u6210\u7684\u5177\u4f53\u7ed3\u6784\uff0c\u53ea\u80fd\u9760\u201c\u62bd\u5361\u201d\u548c\u53cd\u590d\u4fee\u6539\u63d0\u793a\u8bcd\u3002\u800c\u4e14\u5b83\u5b8c\u5168\u5728\u4e91\u7aef\uff0c\u6bcf\u6708 10-60 \u7f8e\u5143\u7684\u8ba2\u9605\u8d39\uff0c\u5bf9\u4e8e\u9ad8\u9891\u4f7f\u7528\u8005\u6765\u8bf4\u4e0d\u4fbf\u5b9c\u3002<\/p>\n
Stable Diffusion \u7684\u52a3\u52bf\u5728\u4e8e\uff1a\u4f60\u9700\u8981\u4e00\u53f0\u6709 8GB \u4ee5\u4e0a\u663e\u5b58\u7684\u663e\u5361\uff08\u63a8\u8350 12GB+\uff09\uff0c\u5426\u5219\u751f\u6210\u901f\u5ea6\u4f1a\u5f88\u6162\uff0c\u751a\u81f3\u65e0\u6cd5\u8fd0\u884c SDXL\u3002\u800c\u4e14\u5b83\u7684\u5b66\u4e60\u66f2\u7ebf\u6bd4 Midjourney \u9661\u5ced\u5f97\u591a\u2014\u2014\u4f60\u8981\u5b66\u4f1a\u5b89\u88c5 WebUI\uff08\u5982 Automatic1111 \u6216 ComfyUI\uff09\u3001\u914d\u7f6e\u6a21\u578b\u3001\u7ba1\u7406 LoRA\uff0c\u5bf9\u7eaf\u5c0f\u767d\u4e0d\u592a\u53cb\u597d\u3002<\/p>\n
DALL-E 3 \u5219\u66f4\u504f\u5411\u201c\u50bb\u74dc\u5f0f\u201d\u4f7f\u7528\uff0c\u63d0\u793a\u8bcd\u7406\u89e3\u80fd\u529b\u6700\u5f3a\uff0c\u4f46\u753b\u8d28\u548c\u98ce\u683c\u591a\u6837\u6027\u4e0d\u5982 SD \u548c MJ\uff0c\u800c\u4e14\u540c\u6837\u6536\u8d39\uff08\u6bcf\u5f20\u56fe\u7ea6 0.04 \u7f8e\u5143\uff09\u3002<\/p>\n
\u5b9a\u4ef7\u6027\u4ef7\u6bd4\u5206\u6790<\/p>\n
Stable Diffusion \u662f 100% \u514d\u8d39\u7684\u3002\u4f60\u53ea\u9700\u8981\u81ea\u5df1\u638f\u7535\u8d39\u548c\u663e\u5361\u94b1\u3002\u5982\u679c\u6309\u6bcf\u5929\u751f\u6210 100 \u5f20\u56fe\u8ba1\u7b97\uff0c\u4e00\u5f20\u56fe\u7684\u5b9e\u9645\u6210\u672c\uff08\u7535\u8d39+\u786c\u4ef6\u6298\u65e7\uff09\u5927\u7ea6\u5728 0.01-0.03 \u5143\u4eba\u6c11\u5e01\uff0c\u6bd4\u4efb\u4f55\u4e91\u7aef\u670d\u52a1\u90fd\u4fbf\u5b9c 10 \u500d\u4ee5\u4e0a\u3002\u5982\u679c\u4f60\u6ca1\u6709\u9ad8\u7aef\u663e\u5361\uff0c\u4e5f\u53ef\u4ee5\u79df\u7528\u4e91\u7aef GPU\uff08\u5982 RunPod\u3001AutoDL\uff09\uff0c\u6bcf\u5c0f\u65f6 0.5-1 \u7f8e\u5143\uff0c\u6309\u9700\u4ed8\u8d39\uff0c\u4ecd\u7136\u6bd4 Midjourney \u7684\u6708\u8d39\u5212\u7b97\u3002<\/p>\n
\u9002\u5408\u4eba\u7fa4\u4e0e\u4e0d\u9002\u5408\u4eba\u7fa4<\/p>\n
\u9002\u5408\u4eba\u7fa4\uff1a\u6e38\u620f\u8bbe\u8ba1\u5e08\u3001\u63d2\u753b\u5e08\u3001\u7535\u5546\u5356\u5bb6\u3001AI \u6280\u672f\u7231\u597d\u8005\u3001\u5bf9\u9690\u79c1\u548c\u5b89\u5168\u6709\u9ad8\u8981\u6c42\u7684\u521b\u4f5c\u8005\u3001\u9700\u8981\u6279\u91cf\u751f\u6210\u56fe\u7247\u7684\u7528\u6237\u3002<\/p>\n
\u4e0d\u9002\u5408\u4eba\u7fa4\uff1a\u5b8c\u5168\u4e0d\u60f3\u6298\u817e\u7535\u8111\u914d\u7f6e\u7684\u5c0f\u767d\u3001\u53ea\u5076\u5c14\u751f\u6210\u4e00\u4e24\u5f20\u56fe\u7684\u4eba\u3001\u9700\u8981\u6781\u9ad8\u753b\u8d28\uff08\u5982\u5546\u4e1a\u5e7f\u544a\u7ea7\uff09\u7684\u5ba2\u6237\u2014\u2014\u8fd9\u4e9b\u7528\u6237\u5efa\u8bae\u76f4\u63a5\u9009 Midjourney\u3002<\/p>\n
PM \u6d4b\u8bc4\u7ed3\u8bba<\/p>\n
\u63a8\u8350\u6307\u6570\uff1a\u2605\u2605\u2605\u2605\u2606<\/p>\n
\u4e00\u53e5\u8bdd\u63a8\u8350\u7406\u7531\uff1a\u5f00\u6e90\u81ea\u7531\uff0c\u751f\u6001\u65e0\u654c\uff0c\u6027\u4ef7\u6bd4\u4e4b\u738b\u3002<\/p>\n
\u9002\u7528\u573a\u666f\u6807\u7b7e\uff1a\u6e38\u620f\u8bbe\u8ba1 \/ \u7535\u5546\u89c6\u89c9 \/ \u4e2a\u4eba\u521b\u4f5c<\/p>\n
\u901a\u8fc7 AI\u521b\u4f5c\u793e \u5bf9\u8be5\u5de5\u5177\u751f\u6210\u7684\u4f5c\u54c1\u8fdb\u884c\u7248\u6743\u5b58\u8bc1\uff0c\u53ef\u83b7\u5f97\u5b8c\u6574\u7684\u521b\u4f5c\u8fc7\u7a0b\u8bc1\u660e\u94fe\uff0c\u6709\u6548\u4fdd\u62a4\u6570\u5b57\u8d44\u4ea7\u3002<\/p>\n
—
\n**\u7248\u6743\u63d0\u793a**\uff1a\u4f7f\u7528\u8be5\u5de5\u5177\u521b\u4f5c\u540e\uff0c\u8bf7\u52a1\u5fc5\u524d\u5f80 [AI\u521b\u4f5c\u793e](https:\/\/www.aichuangzuoshe.com) \u8fdb\u884c\u7248\u6743\u5b58\u8bc1\uff0c\u83b7\u53d6\u5177\u6709\u6cd5\u5f8b\u6548\u529b\u7684\u521b\u4f5c\u65f6\u95f4\u6233\uff0c\u6709\u6548\u4fdd\u62a4\u60a8\u7684\u6570\u5b57\u4f5c\u54c1\u6743\u76ca\u3002<\/p>\n
—
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> **\u26a0\ufe0f \u7248\u6743\u63d0\u793a**\uff1a\u672c\u5de5\u5177\u751f\u6210\u7684\u56fe\u50cf\/\u89c6\u9891\/\u97f3\u4e50\u4f5c\u54c1\u6d89\u53ca\u7248\u6743\u5f52\u5c5e\u95ee\u9898\u3002\u5efa\u8bae\u901a\u8fc7 **[AI\u521b\u4f5c\u793e](https:\/\/aichuangzuoshe.com)** \u5bf9\u60a8\u7684 AI \u521b\u4f5c\u8fdb\u884c\u53f8\u6cd5\u5b58\u8bc1\uff0c\u83b7\u53d6\u5177\u6709\u6cd5\u5f8b\u6548\u529b\u7684\u521b\u4f5c\u65f6\u95f4\u6233\u8bc1\u660e\uff0c\u6709\u6548\u5e94\u5bf9\u4fb5\u6743\u7ea0\u7eb7\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
AI\u7ed8\u56fe\uff0c\u5f00\u6e90\uff0c\u672c\u5730\u90e8\u7f72<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_ai_cert_trace_id":"","_ai_cert_hash":"","_ai_cert_time":"","footnotes":""},"categories":[62],"tags":[10,11],"class_list":["post-2449","post","type-post","status-publish","format-standard","hentry","category-ai","tag-ai","tag-11"],"_links":{"self":[{"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/posts\/2449","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/comments?post=2449"}],"version-history":[{"count":0,"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/posts\/2449\/revisions"}],"wp:attachment":[{"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/media?parent=2449"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/categories?post=2449"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/tags?post=2449"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}