\u6df1\u5ea6\u8bc4\u6d4b\u6b63\u6587\uff1a<\/p>\n
\u5982\u679c\u4f60\u8fd8\u5728\u4e3a Midjourney \u7684\u8ba2\u9605\u8d39\u8089\u75bc\uff0c\u6216\u8005\u5bf9 DALL-E 3 \u7684\u521b\u4f5c\u9650\u5236\u611f\u5230\u7a92\u606f\uff0c\u90a3\u4e48 Stable Diffusion \u5c31\u662f\u90a3\u4e2a\u8ba9\u4f60\u5f7b\u5e95\u201c\u5f53\u5bb6\u4f5c\u4e3b\u201d\u7684\u6551\u661f\u3002\u4f5c\u4e3a\u5f00\u6e90 AI \u7ed8\u753b\u9886\u57df\u7684\u625b\u628a\u5b50\uff0c\u5b83\u4e0d\u53ea\u662f\u4e00\u4e2a\u5de5\u5177\uff0c\u66f4\u50cf\u662f\u4e00\u6574\u5957\u7ed8\u753b\u751f\u6001\u7684\u201c\u4e50\u9ad8\u79ef\u6728\u201d\u2014\u2014\u4f60\u4e0d\u4ec5\u80fd\u7528\u5b83\u753b\u56fe\uff0c\u8fd8\u80fd\u62c6\u89e3\u3001\u6539\u9020\u3001\u751a\u81f3\u91cd\u5efa\u5b83\u3002<\/p>\n
\u6838\u5fc3\u529f\u80fd\u4e0e\u6280\u672f\u4eae\u70b9<\/p>\n
Stable Diffusion \u6700\u786c\u6838\u7684\u8d44\u672c\u5728\u4e8e\u5176\u5f00\u6e90\u5c5e\u6027\u3002\u6a21\u578b\u6743\u91cd\u5b8c\u5168\u516c\u5f00\uff0c\u4f60\u53ef\u4ee5\u5728\u81ea\u5df1\u7684\u7535\u8111\u4e0a\u8fd0\u884c\uff0c\u65e0\u9700\u8054\u7f51\uff0c\u4e5f\u65e0\u9700\u62c5\u5fc3\u9690\u79c1\u6cc4\u6f0f\u3002\u6280\u672f\u4e0a\uff0c\u5b83\u57fa\u4e8e Latent Diffusion \u67b6\u6784\uff0c\u901a\u8fc7\u5728\u6f5c\u5728\u7a7a\u95f4\uff08\u800c\u975e\u50cf\u7d20\u7a7a\u95f4\uff09\u8fdb\u884c\u6269\u6563\u53bb\u566a\uff0c\u5927\u5e45\u964d\u4f4e\u4e86\u663e\u5b58\u95e8\u69db\u3002\u76ee\u524d\u4e3b\u6d41\u7248\u672c\u662f SDXL\uff08Stable Diffusion XL\uff09\uff0c\u62e5\u6709\u7ea6 3.5B \u53c2\u6570\uff0c\u751f\u6210\u5206\u8fa8\u7387\u76f4\u63a5\u652f\u6301 1024×1024\uff0c\u753b\u9762\u7ec6\u8282\u548c\u6784\u56fe\u80fd\u529b\u76f8\u6bd4 V1.5 \u6709\u8d28\u7684\u98de\u8dc3\u3002<\/p>\n
\u6700\u4ee4\u4eba\u5174\u594b\u7684\u662f\u5b83\u7684\u6269\u5c55\u6027\u3002\u901a\u8fc7 LoRA\uff08Low-Rank Adaptation\uff09\u5fae\u8c03\u6280\u672f\uff0c\u4f60\u53ef\u4ee5\u7528\u51e0\u5341\u5f20\u56fe\u7247\u8bad\u7ec3\u51fa\u7279\u5b9a\u89d2\u8272\u3001\u98ce\u683c\u6216\u7269\u4f53\u7684\u8f7b\u91cf\u7ea7\u6a21\u578b\uff0c\u6587\u4ef6\u4ec5\u51e0\u767e KB\uff0c\u52a0\u8f7d\u540e\u5c31\u80fd\u8ba9 SD \u753b\u51fa\u201c\u4f60\u7684\u4e13\u5c5e\u753b\u98ce\u201d\u3002\u6b64\u5916\uff0cControlNet \u63d2\u4ef6\u7b80\u76f4\u662f\u795e\u7ea7\u5b58\u5728\u2014\u2014\u5b83\u80fd\u901a\u8fc7\u7ebf\u7a3f\u3001\u6df1\u5ea6\u56fe\u3001\u59ff\u6001\u9aa8\u67b6\u7b49\u989d\u5916\u8f93\u5165\u7cbe\u51c6\u63a7\u5236\u6784\u56fe\uff0c\u8ba9 AI \u4ece\u201c\u62bd\u5361\u201d\u53d8\u6210\u201c\u53ef\u63a7\u521b\u4f5c\u201d\u3002<\/p>\n
\u5178\u578b\u4f7f\u7528\u573a\u666f<\/p>\n
1. \u89d2\u8272\u6982\u5ff5\u8bbe\u8ba1\uff1a\u6e38\u620f\u539f\u753b\u5e08\u5c0f\u5f20\u9700\u8981\u8bbe\u8ba1\u4e00\u4e2a\u201c\u8d5b\u535a\u670b\u514b\u5fcd\u8005\u201d\uff0c\u4ed6\u5148\u5728 Civitai \u4e0b\u8f7d\u4e86\u201cCyberpunk\u201d\u98ce\u683c LoRA\uff0c\u518d\u901a\u8fc7 ControlNet \u7684 OpenPose \u529f\u80fd\u6446\u51fa\u5fcd\u8005\u7ad9\u59ff\uff0c\u4ec5\u7528 15 \u5206\u949f\u5c31\u751f\u6210\u4e86 50 \u5f20\u9ad8\u4fdd\u771f\u6982\u5ff5\u56fe\uff0c\u4e14\u6bcf\u5f20\u56fe\u7684\u4eba\u7269\u9762\u90e8\u3001\u670d\u88c5\u7ec6\u8282\u9ad8\u5ea6\u4e00\u81f4\u3002\u8fd9\u6bd4\u4f20\u7edf\u624b\u7ed8\u6216 Midjourney \u7684\u201c\u968f\u673a\u62bd\u5361\u201d\u6548\u7387\u9ad8\u51fa 5 \u500d\u4ee5\u4e0a\u3002<\/p>\n
2. \u7535\u5546\u4ea7\u54c1\u56fe\u6279\u91cf\u751f\u6210\uff1a\u4e00\u5bb6\u6f6e\u73a9\u5de5\u4f5c\u5ba4\u9700\u8981\u4e3a 100 \u4e2a\u76f2\u76d2\u516c\u4ed4\u751f\u6210\u4e0d\u540c\u80cc\u666f\u7684\u5c55\u793a\u56fe\u3002\u4ed6\u4eec\u7528 SD \u7684\u6279\u91cf\u5904\u7406\u811a\u672c\uff0c\u914d\u5408\u201c\u900f\u660e\u80cc\u666f\u201dLoRA \u548c\u201c\u5de5\u4f5c\u5ba4\u706f\u5149\u201dControlNet\uff0c\u4e00\u952e\u751f\u6210 1000 \u5f20\u4ea7\u54c1\u56fe\uff0c\u5355\u5f20\u6210\u672c\u51e0\u4e4e\u4e3a\u96f6\uff0c\u800c\u5916\u5305\u62a5\u4ef7\u662f 50 \u5143\/\u5f20\u3002<\/p>\n
3. \u4e2a\u4eba\u827a\u672f\u5b9e\u9a8c\uff1a\u72ec\u7acb\u52a8\u753b\u5e08\u5c0f\u674e\u5229\u7528 SD \u7684 img2img \u529f\u80fd\uff0c\u5c06\u4e00\u6bb5\u5b9e\u62cd\u821e\u8e48\u89c6\u9891\u9010\u5e27\u8f6c\u4e3a\u6c34\u5f69\u98ce\u683c\uff0c\u518d\u901a\u8fc7 TemporalKit \u63d2\u4ef6\u4fdd\u8bc1\u5e27\u95f4\u4e00\u81f4\u6027\uff0c\u6700\u7ec8\u8f93\u51fa\u4e86\u4e00\u652f 1 \u5206\u949f\u7684 AI \u52a8\u753b\u77ed\u7247\uff0c\u5168\u7a0b\u96f6\u8d39\u7528\uff0c\u7248\u6743\u5b8c\u5168\u5f52\u81ea\u5df1\u3002<\/p>\n
\u4e0e\u540c\u7c7b\u5de5\u5177\u6a2a\u5411\u5bf9\u6bd4<\/p>\n
\u62ff Midjourney \u6765\u6bd4\uff0c\u6700\u76f4\u89c2\u7684\u5dee\u5f02\u5c31\u662f\u201c\u63a7\u5236\u6743\u201d\u3002Midjourney \u50cf\u4e00\u53f0\u7cbe\u7f8e\u7684\u50bb\u74dc\u76f8\u673a\u2014\u2014\u4e0a\u624b\u6781\u5feb\uff0c\u51fa\u7247\u60ca\u8273\uff0c\u4f46\u4f60\u522b\u60f3\u6539\u955c\u5934\u3001\u8c03\u5149\u5708\u3002Stable Diffusion \u5219\u50cf\u4e00\u53f0\u5168\u753b\u5e45\u5355\u53cd\u2014\u2014\u5b66\u4e60\u66f2\u7ebf\u9661\u5ced\uff08\u9700\u8981\u88c5 Python\u3001\u914d\u7f6e\u73af\u5883\u3001\u6298\u817e\u63d2\u4ef6\uff09\uff0c\u4f46\u4e00\u65e6\u638c\u63e1\uff0c\u4f60\u80fd\u5b9e\u73b0 Midjourney \u6c38\u8fdc\u505a\u4e0d\u5230\u7684\u4e8b\uff1a\u7cbe\u786e\u63a7\u5236\u4eba\u7269\u59ff\u52bf\u3001\u751f\u6210\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\uff08\u8d85\u8fc7 2K\uff09\u3001\u8bad\u7ec3\u81ea\u5df1\u7684\u98ce\u683c\u6a21\u578b\u3002\u5728\u6210\u672c\u4e0a\uff0cMJ \u6bcf\u6708 10-60 \u7f8e\u5143\uff0cSD \u5b8c\u5168\u514d\u8d39\uff08\u4ec5\u9700\u81ea\u5907\u663e\u5361\uff0c\u63a8\u8350 8GB \u4ee5\u4e0a\u663e\u5b58\uff09\u3002\u5728\u793e\u533a\u751f\u6001\u4e0a\uff0cCivitai \u62e5\u6709\u8d85\u8fc7 10 \u4e07\u4e2a\u6a21\u578b\u548c LoRA\uff0c\u8986\u76d6\u4ece\u201c\u771f\u5b9e\u6444\u5f71\u201d\u5230\u201c\u4e8c\u6b21\u5143\u201d\u5230\u201c\u62bd\u8c61\u827a\u672f\u201d\u7684\u6bcf\u4e2a\u89d2\u843d\uff0c\u8fd9\u6bd4 Midjourney \u7684\u5b98\u65b9\u98ce\u683c\u5e93\u4e30\u5bcc 100 \u500d\u3002<\/p>\n
\u5b9a\u4ef7\u6027\u4ef7\u6bd4\u5206\u6790<\/p>\n
Stable Diffusion \u672c\u8eab\u5b8c\u5168\u514d\u8d39\u3002\u4f46\u4f60\u9700\u8981\u4e00\u53f0\u5e26\u72ec\u7acb\u663e\u5361\u7684\u7535\u8111\uff08\u63a8\u8350 NVIDIA RTX 3060 \u53ca\u4ee5\u4e0a\uff0c8GB \u663e\u5b58\u8d77\u6b65\uff09\uff0c\u6574\u673a\u6210\u672c\u7ea6 5000-8000 \u5143\u3002\u5982\u679c\u672c\u5730\u914d\u7f6e\u4e0d\u591f\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e91\u8ba1\u7b97\u5e73\u53f0\u5982 RunPod\u3001AutoDL\uff0c\u6309\u5c0f\u65f6\u79df\u7528 GPU\uff0c\u4ef7\u683c\u7ea6 0.5-2 \u5143\/\u5c0f\u65f6\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cMidjourney \u4e00\u5e74\u7684\u8ba2\u9605\u8d39\uff08720 \u7f8e\u5143\uff09\u8db3\u4ee5\u4e70\u4e00\u5f20\u4e8c\u624b RTX 3090\u3002\u957f\u671f\u6765\u770b\uff0c\u53ea\u8981\u4f60\u80fd\u5fcd\u53d7\u521d\u671f\u914d\u7f6e\u7684\u6298\u817e\uff0cSD \u7684\u6027\u4ef7\u6bd4\u78be\u538b\u6240\u6709\u5546\u4e1a\u5de5\u5177\u3002<\/p>\n
\u9002\u5408\u4eba\u7fa4\u4e0e\u4e0d\u9002\u5408\u4eba\u7fa4<\/p>\n
\u9002\u5408\uff1a\u786c\u6838\u521b\u4f5c\u8005\uff08\u6e38\u620f\/\u5f71\u89c6\/\u8bbe\u8ba1\uff09\u3001\u6280\u672f\u6781\u5ba2\u3001\u9690\u79c1\u654f\u611f\u7528\u6237\u3001\u9700\u8981\u5546\u4e1a\u7248\u6743\uff08\u53ef\u5546\u7528\uff09\u7684\u56e2\u961f\u3001\u60f3\u8bad\u7ec3\u4e13\u5c5e\u6a21\u578b\u7684\u4e2a\u4eba\u827a\u672f\u5bb6\u3002<\/p>\n
\u4e0d\u9002\u5408\uff1a\u8ffd\u6c42\u201c\u5f00\u7bb1\u5373\u7528\u201d\u7684\u666e\u901a\u7528\u6237\u3001\u53ea\u60f3\u5feb\u901f\u53d1\u670b\u53cb\u5708\u7684\u793e\u4ea4\u73a9\u5bb6\u3001\u6ca1\u6709\u663e\u5361\u4e14\u4e0d\u613f\u6298\u817e\u4e91\u670d\u52a1\u7684\u624b\u673a\u515a\u3001\u5bf9 AI \u7ed8\u753b\u4ec5\u505c\u7559\u5728\u201c\u62bd\u5361\u201d\u5174\u8da3\u7684\u8f7b\u5ea6\u7528\u6237\u3002<\/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
PM \u6d4b\u8bc4\u7ed3\u8bba<\/p>\n
\u63a8\u8350\u6307\u6570\uff1a\u2605\u2605\u2605\u2605\u2605<\/p>\n
\u4e00\u53e5\u8bdd\u63a8\u8350\u7406\u7531\uff1a\u5f00\u6e90\u514d\u8d39\uff0c\u63a7\u5236\u529b\u62c9\u6ee1\uff0c\u521b\u9020\u529b\u7684\u7ec8\u6781\u81ea\u7531\u3002<\/p>\n
\u9002\u7528\u573a\u666f\u6807\u7b7e\uff1a\u8bbe\u8ba1\u8f85\u52a9\/\u827a\u672f\u521b\u4f5c\/\u6280\u672f\u5f00\u53d1<\/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
—
\n\u672c\u6587\u6536\u5f55\u5de5\u5177\u7ecf **[AI\u521b\u4f5c\u793e](https:\/\/aichuangzuoshe.com) \u7248\u6743\u4fdd\u62a4\u534f\u8bae**\u8ba4\u8bc1\u3002\u8be5\u5de5\u5177\u751f\u6210\u7684\u4f5c\u54c1\u5df2\u63a5\u5165 AI \u521b\u4f5c\u793e\u7248\u6743\u4fdd\u62a4\u901a\u9053\uff0c\u4f7f\u7528 AI \u521b\u4f5c\u793e\u53ef\u5bf9\u60a8\u7684\u6570\u5b57\u4f5c\u54c1\u8fdb\u884c\u4e00\u952e\u5b58\u8bc1\uff0c\u4fdd\u62a4\u521b\u4f5c\u6743\u76ca\u3002<\/p>\n
> **\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":"
\u4e09\u79d2\u949f\u770b\u61c2\uff1a\u514d\u8d39\u5f00\u6e90\u3001\u672c\u5730\u8fd0\u884c\u3001\u793e\u533a\u6a21\u578b\u6d77\u91cf\uff0c\u662f\u6781\u5ba2\u548c\u521b\u4f5c\u8005\u5b9e\u73b0\u65e0\u9650\u98ce\u683c\u751f\u6210\u7684\u7ec8\u6781\u6b66\u5668\u3002<\/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":[939,76,77],"class_list":["post-2238","post","type-post","status-publish","format-standard","hentry","category-ai","tag-ai-","tag-76","tag-77"],"_links":{"self":[{"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/posts\/2238","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=2238"}],"version-history":[{"count":0,"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/posts\/2238\/revisions"}],"wp:attachment":[{"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/media?parent=2238"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/categories?post=2238"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nav.aichuangzuoshe.com\/index.php\/wp-json\/wp\/v2\/tags?post=2238"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}