\u4e09\u79d2\u949f\u770b\u61c2\uff1a\u514d\u8d39\u5f00\u6e90\u7684\u672c\u5730 AI \u7ed8\u56fe\u6a21\u578b\uff0c\u914d\u5408\u6d77\u91cf\u793e\u533a\u6a21\u578b\uff0c\u8ba9\u4f60\u5b9e\u73b0\u7ed8\u753b\u81ea\u7531\u3002<\/p>\n
Stable Diffusion \u8fd9\u4e2a\u540d\u5b57\uff0c\u5728 AI \u7ed8\u753b\u5708\u91cc\u51e0\u4e4e\u7b49\u540c\u4e8e\u201c\u81ea\u7531\u201d\u7684\u4ee3\u540d\u8bcd\u3002\u5f53 Midjourney \u8fd8\u5728 Discord \u91cc\u4f18\u96c5\u5730\u6392\u961f\u51fa\u56fe\u65f6\uff0cStable Diffusion \u5df2\u7ecf\u8ba9\u6bcf\u4e2a\u62e5\u6709\u4e2d\u7aef\u663e\u5361\u7684\u7528\u6237\uff0c\u5728\u81ea\u5df1\u7684\u7535\u8111\u4e0a\u6253\u9020\u4e86\u4e00\u4e2a\u79c1\u4eba\u753b\u5ba4\u3002\u5b83\u4e0d\u662f\u4e00\u6b3e\u7b80\u5355\u7684\u5de5\u5177\uff0c\u800c\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u751f\u6001\u7cfb\u7edf\uff0c\u6838\u5fc3\u6a21\u578b\u7531 Stability AI \u5f00\u53d1\uff0c\u4f46\u771f\u6b63\u7684\u7075\u9b42\u5728\u4e8e\u5168\u7403\u5f00\u53d1\u8005\u793e\u533a\u3002<\/p>\n
\u6838\u5fc3\u529f\u80fd\u4e0e\u6280\u672f\u4eae\u70b9\uff1a\u4ece\u5e95\u5c42\u5230\u751f\u6001\u7684\u5168\u9762\u78be\u538b<\/p>\n
Stable Diffusion \u7684\u6838\u5fc3\u662f Latent Diffusion Model\uff08\u6f5c\u5728\u6269\u6563\u6a21\u578b\uff09\uff0c\u5b83\u4e0d\u662f\u5728\u50cf\u7d20\u5c42\u9762\u76f4\u63a5\u751f\u6210\u56fe\u50cf\uff0c\u800c\u662f\u5728\u4e00\u4e2a\u538b\u7f29\u7684\u6f5c\u5728\u7a7a\u95f4\u4e2d\u8fdb\u884c\u64cd\u4f5c\u3002\u8fd9\u610f\u5473\u7740\u5b83\u5bf9\u663e\u5b58\u7684\u8981\u6c42\u8fdc\u4f4e\u4e8e\u5176\u4ed6\u76f4\u63a5\u751f\u6210\u6a21\u578b\u3002\u57fa\u7840\u7248\u672c\u53ea\u9700\u8981 4GB \u663e\u5b58\u5373\u53ef\u8fd0\u884c\uff0c\u800c\u7ecf\u8fc7\u4f18\u5316\u7684\u7248\u672c\uff08\u5982 Tiny AutoEncoder\uff09\u751a\u81f3\u80fd\u5728 2GB \u663e\u5b58\u4e0a\u8dd1\u51fa\u53ef\u7528\u7ed3\u679c\u3002\u6a21\u578b\u672c\u8eab\u6709\u7ea6 2.3B \u53c2\u6570\uff0c\u4f46\u901a\u8fc7\u84b8\u998f\u548c\u91cf\u5316\uff0c\u793e\u533a\u5df2\u7ecf\u63a8\u51fa\u4e86 1.5B \u751a\u81f3\u66f4\u5c0f\u7684\u7248\u672c\uff0c\u901f\u5ea6\u4e0e\u8d28\u91cf\u4e4b\u95f4\u7684\u5e73\u8861\u582a\u79f0\u827a\u672f\u3002<\/p>\n
\u6280\u672f\u4eae\u70b9\u4e0a\uff0c\u6700\u4ee4\u4eba\u5174\u594b\u7684\u662f ControlNet \u7684\u52a0\u6301\u3002\u5b83\u5141\u8bb8\u4f60\u901a\u8fc7\u8fb9\u7f18\u68c0\u6d4b\u3001\u6df1\u5ea6\u56fe\u3001\u59ff\u6001\u9aa8\u67b6\u7b49\u6761\u4ef6\u7cbe\u786e\u63a7\u5236\u751f\u6210\u7ed3\u679c\u3002\u6bd4\u5982\uff0c\u4f60\u53ef\u4ee5\u7528\u4e00\u5f20\u7b80\u5355\u7684\u7ebf\u7a3f\uff0c\u8ba9 Stable Diffusion \u81ea\u52a8\u4e0a\u8272\u5e76\u6dfb\u52a0\u7ec6\u8282\uff0c\u540c\u65f6\u4fdd\u7559\u7ebf\u7a3f\u7684\u7ed3\u6784\u5b8c\u5168\u4e0d\u53d8\u3002\u8fd9\u5728\u5176\u4ed6\u5de5\u5177\u4e2d\u8981\u4e48\u9700\u8981\u590d\u6742\u7684\u540e\u671f\u5904\u7406\uff0c\u8981\u4e48\u6839\u672c\u65e0\u6cd5\u5b9e\u73b0\u3002\u6b64\u5916\uff0cLoRA\uff08Low-Rank Adaptation\uff09\u5fae\u8c03\u6280\u672f\u8ba9\u666e\u901a\u7528\u6237\u4e5f\u80fd\u8bad\u7ec3\u81ea\u5df1\u7684\u4eba\u7269\u6216\u98ce\u683c\u6a21\u578b\uff0c\u53ea\u9700 10-20 \u5f20\u56fe\u7247\uff0c\u5c31\u80fd\u8ba9\u6a21\u578b\u5b66\u4f1a\u67d0\u4e2a\u7279\u5b9a\u89d2\u8272\u7684\u9762\u90e8\u7279\u5f81\u6216\u67d0\u79cd\u753b\u98ce\u3002<\/p>\n
Civitai \u793e\u533a\u6a21\u578b\u5e93\u662f\u53e6\u4e00\u4e2a\u6740\u624b\u950f\u3002\u622a\u81f3 2025 \u5e74\u521d\uff0cCivitai \u4e0a\u5df2\u6709\u8d85\u8fc7 20 \u4e07\u4e2a\u6a21\u578b\uff0c\u4ece\u5199\u5b9e\u3001\u4e8c\u6b21\u5143\u5230\u6c34\u58a8\u753b\u3001\u50cf\u7d20\u98ce\uff0c\u51e0\u4e4e\u8986\u76d6\u4e86\u6240\u6709\u4f60\u80fd\u60f3\u5230\u7684\u89c6\u89c9\u98ce\u683c\u3002\u8fd9\u4e9b\u6a21\u578b\u5927\u591a\u57fa\u4e8e Stable Diffusion 1.5 \u6216 SDXL \u5fae\u8c03\uff0c\u7528\u6237\u53ea\u9700\u4e0b\u8f7d\u4e00\u4e2a\u51e0 MB \u7684 checkpoint \u6587\u4ef6\uff0c\u5c31\u80fd\u77ac\u95f4\u5207\u6362\u6a21\u578b\u98ce\u683c\u3002<\/p>\n
\u5178\u578b\u4f7f\u7528\u573a\u666f\uff1a\u4e09\u4e2a\u771f\u5b9e\u6848\u4f8b<\/p>\n
1. \u72ec\u7acb\u6e38\u620f\u89d2\u8272\u8bbe\u8ba1\uff1a\u4e00\u4f4d\u72ec\u7acb\u6e38\u620f\u5236\u4f5c\u4eba\u9700\u8981\u4e3a\u4ed6\u7684\u50cf\u7d20\u98ce RPG \u8bbe\u8ba1 50 \u4e2a\u72ec\u7279\u89d2\u8272\u3002\u4ed6\u4f7f\u7528 Stable Diffusion + ControlNet \u7684 Canny \u8fb9\u7f18\u68c0\u6d4b\uff0c\u5148\u624b\u7ed8\u7b80\u5355\u8f6e\u5ed3\uff0c\u7136\u540e\u901a\u8fc7\u6a21\u578b\u751f\u6210\u5e26\u7ec6\u8282\u7684\u50cf\u7d20\u753b\u3002\u5229\u7528 LoRA \u8bad\u7ec3\u4e86 3 \u4e2a\u57fa\u7840\u89d2\u8272\u6a21\u677f\uff0c\u518d\u901a\u8fc7\u63d0\u793a\u8bcd\u8c03\u6574\u670d\u88c5\u3001\u6b66\u5668\u7b49\u5143\u7d20\u3002\u6574\u4e2a\u8fc7\u7a0b\u8017\u65f6 2 \u5929\uff0c\u800c\u4f20\u7edf\u624b\u7ed8\u9700\u8981\u81f3\u5c11 2 \u5468\u3002\u751f\u6210\u7684\u56fe\u7247\u76f4\u63a5\u4f5c\u4e3a\u6e38\u620f\u5185\u8d44\u4ea7\u4f7f\u7528\uff0c\u7248\u6743\u5b8c\u5168\u5f52\u81ea\u5df1\u6240\u6709\u3002<\/p>\n
2. \u7535\u5546\u4ea7\u54c1\u56fe\u6279\u91cf\u751f\u6210\uff1a\u4e00\u5bb6\u6dd8\u5b9d\u5e97\u9700\u8981\u4e3a 100 \u6b3e\u4e0d\u540c\u989c\u8272\u7684 T \u6064\u751f\u6210\u6a21\u7279\u4e0a\u8eab\u56fe\u3002\u4f20\u7edf\u65b9\u5f0f\u9700\u8981\u8bf7\u6a21\u7279\u3001\u79df\u5f71\u68da\u3001\u540e\u671f\u4fee\u56fe\uff0c\u6210\u672c\u6781\u9ad8\u3002\u4ed6\u4eec\u4f7f\u7528 Stable Diffusion \u7684 Inpainting\uff08\u5c40\u90e8\u91cd\u7ed8\uff09\u529f\u80fd\uff0c\u5148\u62cd\u4e00\u5f20\u767d\u5e95\u6a21\u7279\u56fe\uff0c\u7136\u540e\u901a\u8fc7\u8499\u7248\u66ff\u6362 T \u6064\u989c\u8272\u548c\u7eb9\u7406\u3002\u914d\u5408 Prompt Scheduling \u63a7\u5236\uff0c\u6bcf\u5f20\u56fe\u751f\u6210\u65f6\u95f4\u4e0d\u5230 10 \u79d2\uff0c\u6210\u672c\u51e0\u4e4e\u4e3a\u96f6\u3002\u6700\u7ec8\u6210\u7247\u6548\u679c\u903c\u771f\uff0c\u5b8c\u5168\u770b\u4e0d\u51fa\u662f AI \u751f\u6210\u7684\u3002<\/p>\n
3. \u5efa\u7b51\u6982\u5ff5\u8349\u56fe\uff1a\u4e00\u4f4d\u5efa\u7b51\u5e08\u5728\u9879\u76ee\u521d\u671f\u9700\u8981\u5feb\u901f\u63a2\u7d22 10 \u79cd\u4e0d\u540c\u98ce\u683c\u7684\u7acb\u9762\u65b9\u6848\u3002\u4ed6\u4f7f\u7528 Stable Diffusion \u7684 Depth-to-Image \u529f\u80fd\uff0c\u5148\u5bfc\u5165\u4e00\u4e2a\u7b80\u5355\u7684 3D \u6a21\u578b\u6e32\u67d3\u56fe\uff08\u5e26\u6df1\u5ea6\u4fe1\u606f\uff09\uff0c\u7136\u540e\u901a\u8fc7\u63d0\u793a\u8bcd\u63a7\u5236\u751f\u6210\u73b0\u4ee3\u3001\u53e4\u5178\u3001\u751f\u6001\u7b49\u591a\u79cd\u98ce\u683c\u3002\u6bcf\u4e2a\u65b9\u6848\u751f\u6210\u53ea\u9700 5 \u5206\u949f\uff0c\u800c\u4f20\u7edf\u624b\u7ed8\u6216\u6e32\u67d3\u9700\u8981\u81f3\u5c11 1 \u5929\u3002\u8fd9\u4e9b\u8349\u56fe\u76f4\u63a5\u7528\u4e8e\u5ba2\u6237\u6c9f\u901a\uff0c\u6781\u5927\u7f29\u77ed\u4e86\u524d\u671f\u51b3\u7b56\u5468\u671f\u3002<\/p>\n
\u4e0e\u540c\u7c7b\u5de5\u5177\u6a2a\u5411\u5bf9\u6bd4\uff1aMidjourney vs. Stable Diffusion<\/p>\n
\u6700\u76f4\u63a5\u7684\u7ade\u54c1\u662f Midjourney\u3002Midjourney \u7684\u4f18\u52bf\u5728\u4e8e\uff1a\u51fa\u56fe\u8d28\u91cf\u7a33\u5b9a\uff0c\u5ba1\u7f8e\u5728\u7ebf\uff0c\u51e0\u4e4e\u4e0d\u9700\u8981\u8c03\u53c2\uff0c\u9002\u5408\u4e0d\u60f3\u6298\u817e\u7684\u7528\u6237\u3002\u5b83\u901a\u8fc7 Discord \u63d0\u4f9b\u670d\u52a1\uff0c\u4e0a\u624b\u95e8\u69db\u6781\u4f4e\u3002\u4f46\u4ee3\u4ef7\u662f\uff1a\u6bcf\u6708 10-60 \u7f8e\u5143\u7684\u8ba2\u9605\u8d39\uff0c\u4e14\u751f\u6210\u7684\u56fe\u7247\u7248\u6743\u5f52\u5c5e\u6a21\u7cca\uff08\u514d\u8d39\u7528\u6237\u4e0d\u53ef\u5546\u7528\uff0c\u4ed8\u8d39\u7528\u6237\u53ef\u5546\u7528\u4f46\u9700\u9075\u5b88\u6761\u6b3e\uff09\u3002\u6b64\u5916\uff0c\u4f60\u65e0\u6cd5\u672c\u5730\u90e8\u7f72\uff0c\u6240\u6709\u6570\u636e\u90fd\u5728\u4e91\u7aef\u3002<\/p>\n
Stable Diffusion \u7684\u4f18\u52bf\u5219\u5728\u4e8e\uff1a\u5b8c\u5168\u514d\u8d39\u3001\u5b8c\u5168\u53ef\u63a7\u3001\u5b8c\u5168\u672c\u5730\u5316\u3002\u4f60\u53ef\u4ee5\u79bb\u7ebf\u4f7f\u7528\uff0c\u4e0d\u7528\u62c5\u5fc3\u7f51\u7edc\u5ef6\u8fdf\u6216\u670d\u52a1\u4e2d\u65ad\u3002\u4f60\u53ef\u4ee5\u4fee\u6539\u4efb\u4f55\u53c2\u6570\uff0c\u4ece\u91c7\u6837\u6b65\u6570\u5230 CFG Scale\uff0c\u4ece\u79cd\u5b50\u503c\u5230\u6a21\u578b\u6743\u91cd\u6587\u4ef6\u3002\u4f60\u53ef\u4ee5\u8bad\u7ec3\u81ea\u5df1\u7684\u6a21\u578b\uff0c\u751f\u6210\u4efb\u4f55\u4f60\u60f3\u8981\u7684\u98ce\u683c\u3002\u4f46\u4ee3\u4ef7\u662f\uff1a\u4f60\u9700\u8981\u4e00\u53f0\u5e26\u72ec\u7acb\u663e\u5361\u7684\u7535\u8111\uff08\u63a8\u8350 8GB \u4ee5\u4e0a\u663e\u5b58\uff09\uff0c\u9700\u8981\u82b1\u65f6\u95f4\u5b66\u4e60\u754c\u9762\uff08\u5982 Automatic1111 WebUI \u6216 ComfyUI\uff09\uff0c\u9700\u8981\u7406\u89e3\u63d0\u793a\u8bcd\u5de5\u7a0b\u548c\u53c2\u6570\u8c03\u4f18\u3002<\/p>\n
\u4e00\u53e5\u8bdd\u603b\u7ed3\uff1a\u5982\u679c\u4f60\u8ffd\u6c42\u6781\u81f4\u6548\u7387\u548c\u7a33\u5b9a\u5ba1\u7f8e\uff0c\u9009 Midjourney\uff1b\u5982\u679c\u4f60\u8981\u81ea\u7531\u3001\u63a7\u5236\u6743\u548c\u96f6\u6210\u672c\uff0c\u9009 Stable Diffusion\u3002<\/p>\n
\u5b9a\u4ef7\u6027\u4ef7\u6bd4\u5206\u6790\uff1a\u514d\u8d39\uff0c\u4f46\u6210\u672c\u8f6c\u79fb\u5230\u4e86\u786c\u4ef6\u548c\u5b66\u4e60\u4e0a<\/p>\n
Stable Diffusion \u672c\u8eab\u5b8c\u5168\u514d\u8d39\uff0c\u5305\u62ec\u5b98\u65b9\u6a21\u578b\u3001\u793e\u533a\u6a21\u578b\u548c\u6240\u6709\u5f00\u6e90\u5de5\u5177\u3002\u4f60\u4e0d\u9700\u8981\u652f\u4ed8\u4efb\u4f55\u8ba2\u9605\u8d39\u6216\u6309\u6b21\u4ed8\u8d39\u3002\u4f46\u9690\u6027\u6210\u672c\u5305\u62ec\uff1a\u4e00\u662f\u786c\u4ef6\u6210\u672c\uff0c\u4e00\u53f0\u5e26 RTX 3060 \u4ee5\u4e0a\u663e\u5361\u7684\u7535\u8111\u7ea6 5000-10000 \u5143\uff1b\u4e8c\u662f\u65f6\u95f4\u6210\u672c\uff0c\u5b66\u4e60 WebUI \u64cd\u4f5c\u548c\u63d0\u793a\u8bcd\u6280\u5de7\u9700\u8981 1-2 \u5468\uff1b\u4e09\u662f\u7535\u8d39\uff0c\u4e00\u5f20\u56fe\u751f\u6210\u7ea6\u6d88\u8017 0.01-0.05 \u5ea6\u7535\uff0c\u53d6\u51b3\u4e8e\u663e\u5361\u548c\u6a21\u578b\u590d\u6742\u5ea6\u3002<\/p>\n
\u76f8\u6bd4\u4e4b\u4e0b\uff0cMidjourney \u7684\u5165\u95e8\u5957\u9910\u6bcf\u6708 10 \u7f8e\u5143\uff0c\u4e00\u5e74 120 \u7f8e\u5143\uff0c\u4e94\u5e74\u624d 600 \u7f8e\u5143\u3002\u5982\u679c\u4f60\u53ea\u662f\u5076\u5c14\u7528\u4e00\u4e0b\uff0cMidjourney \u53ef\u80fd\u66f4\u5212\u7b97\u3002\u4f46\u5982\u679c\u4f60\u6bcf\u5929\u751f\u6210 100 \u5f20\u56fe\u4ee5\u4e0a\uff0cStable Diffusion \u7684\u8fb9\u9645\u6210\u672c\u51e0\u4e4e\u4e3a\u96f6\uff0c\u957f\u671f\u6765\u770b\u5b8c\u80dc\u3002<\/p>\n
\u9002\u5408\u4eba\u7fa4\u4e0e\u4e0d\u9002\u5408\u4eba\u7fa4<\/p>\n
\u9002\u5408\u4eba\u7fa4\uff1a\u6280\u672f\u7231\u597d\u8005\u3001\u72ec\u7acb\u521b\u4f5c\u8005\u3001\u9700\u8981\u6279\u91cf\u751f\u6210\u56fe\u7247\u7684\u7535\u5546\/\u6e38\u620f\u4ece\u4e1a\u8005\u3001\u5bf9\u9690\u79c1\u548c\u6570\u636e\u5b89\u5168\u6709\u8981\u6c42\u7684\u7528\u6237\u3001\u60f3\u6df1\u5165\u5b66\u4e60 AI \u7ed8\u56fe\u539f\u7406\u7684\u6781\u5ba2\u3002\u5982\u679c\u4f60\u613f\u610f\u82b1\u65f6\u95f4\u6298\u817e\uff0cStable Diffusion \u80fd\u7ed9\u4f60\u65e0\u9650\u7684\u521b\u4f5c\u7a7a\u95f4\u3002<\/p>\n
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—
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