{"id":50934,"date":"2025-08-10T14:40:01","date_gmt":"2025-08-10T06:40:01","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/50934.html"},"modified":"2025-08-10T14:40:01","modified_gmt":"2025-08-10T06:40:01","slug":"%e7%ac%ac%e5%9b%9b%e5%8d%81%e5%85%ab%e7%ab%a0%ef%bc%9aai%e7%94%bb%e5%ae%b6%e7%9a%84%e6%97%b6%e5%ba%8f%e6%8c%87%e6%8c%a5%e6%a3%92%ef%bc%9adiffusion%e6%a8%a1%e5%9e%8btimestep%e4%b8%8es","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/50934.html","title":{"rendered":"\u7b2c\u56db\u5341\u516b\u7ae0\uff1aAI\u753b\u5bb6\u7684\u201c\u65f6\u5e8f\u6307\u6325\u68d2\u201d\uff1aDiffusion\u6a21\u578bTimestep\u4e0eScheduler\u8be6\u89e3"},"content":{"rendered":"<\/p>\n<h4>AI\u6307\u6325\u751f\u6210<\/h4>\n<ul>\n<li>\u524d\u8a00&#xff1a;\u566a\u58f0\u5230\u56fe\u50cf\u7684\u201c\u65e0\u5f62\u4e4b\u624b\u201d<\/li>\n<li>\u7b2c\u4e00\u7ae0&#xff1a;Timestep&#xff1a;\u6269\u6563\u8fc7\u7a0b\u7684\u201c\u65f6\u95f4\u8f74\u201d<\/li>\n<li>\n<ul>\n<li>1.1 \u6982\u5ff5&#xff1a;\u4eceT\u52300\u7684\u201c\u5012\u8ba1\u65f6\u201d<\/li>\n<li>1.2 \u4e3a\u4ec0\u4e48\u9700\u8981Timestep&#xff1f;\u2014\u2014 AI\u7406\u89e3\u566a\u58f0\u91cf\u7684\u201c\u523b\u5ea6\u201d<\/li>\n<\/ul>\n<\/li>\n<li>\u7b2c\u4e8c\u7ae0&#xff1a;Scheduler&#xff1a;\u63a7\u5236\u53bb\u566a\u201c\u6b65\u8c03\u201d\u7684\u201c\u8282\u594f\u5927\u5e08\u201d<\/li>\n<li>\n<ul>\n<li>2.1 \u4ec0\u4e48\u662fScheduler&#xff1f;\u2014\u2014 \u5236\u5b9a\u53bb\u566a\u7b56\u7565\u7684\u201c\u7b97\u6cd5\u5927\u8111\u201d<\/li>\n<li>2.2 \u6838\u5fc3\u804c\u8d23&#xff1a;\u751f\u6210\u65f6\u95f4\u6b65\u5e8f\u5217\u4e0e\u8ba1\u7b97\u566a\u58f0\u91cf<\/li>\n<li>2.3 DDPM Scheduler&#xff1a;\u6700\u7ecf\u5178\u7684\u201c\u7ebf\u6027\u51cf\u566a\u201d<\/li>\n<li>2.4 DDIM Scheduler&#xff1a;\u52a0\u901f\u91c7\u6837\u7684\u201c\u6377\u5f84\u201d<\/li>\n<li>2.5 PNDM Scheduler&#xff1a;\u517c\u987e\u901f\u5ea6\u4e0e\u8d28\u91cf\u7684\u201c\u5e73\u6ed1\u201d\u4e4b\u8def<\/li>\n<li>2.6 \u66f4\u591a\u8c03\u5ea6\u5668&#xff1a;Diffusion\u6a21\u578b\u7684\u201c\u7b97\u6cd5\u4e07\u82b1\u7b52\u201d<\/li>\n<\/ul>\n<\/li>\n<li>\u7b2c\u4e09\u7ae0&#xff1a;\u4eb2\u624b\u5207\u6362\u8c03\u5ea6\u5668&#xff1a;\u611f\u53d7\u4e0d\u540c\u201c\u753b\u98ce\u201d<\/li>\n<li>\n<ul>\n<li>3.1 \u7ec4\u4ef6\u51c6\u5907&#xff1a;\u52a0\u8f7dStable Diffusion Pipeline\u4e0eScheduler<\/li>\n<li>3.2 \u89c2\u5bdf\u4e0d\u540c\u8c03\u5ea6\u5668\u751f\u6210\u7684\u65f6\u95f4\u6b65\u5e8f\u5217<\/li>\n<li>3.3 \u5207\u6362\u8c03\u5ea6\u5668&#xff0c;\u751f\u6210\u4e0d\u540c\u201c\u753b\u98ce\u201d\u7684\u56fe\u50cf<\/li>\n<\/ul>\n<\/li>\n<li>\u5e38\u89c1Diffusion\u8c03\u5ea6\u5668\u7684\u65f6\u95f4\u6b65\u5206\u5e03\u4e0e\u53bb\u566a\u66f2\u7ebf<\/li>\n<li>\u201c\u6b65\u6570\u5c11\u2260\u8d28\u91cf\u5dee\u201d&#xff1a;\u91c7\u6837\u6b65\u6570\u4e0e\u8c03\u5ea6\u5668\u8d28\u91cf\u7684\u6743\u8861<\/li>\n<li>\u603b\u7ed3\u4e0e\u5c55\u671b&#xff1a;\u4f60\u5df2\u638c\u63e1AI\u7ed8\u753b\u7684\u201c\u6838\u5fc3\u8282\u594f\u201d<\/li>\n<\/ul>\n<h2>\u524d\u8a00&#xff1a;\u566a\u58f0\u5230\u56fe\u50cf\u7684\u201c\u65e0\u5f62\u4e4b\u624b\u201d<\/h2>\n<p>\u5728\u4e4b\u524d\u7684\u7ae0\u8282\u4e2d&#xff0c;\u6211\u4eec\u5df2\u7ecf\u6df1\u5165\u4e86\u89e3\u4e86Diffusion\u6a21\u578b\u5982\u4f55\u4ece\u4e00\u7247\u6df7\u6c8c\u7684\u968f\u673a\u566a\u58f0\u4e2d&#xff0c;\u9010\u6b65\u201c\u96d5\u523b\u201d\u51fa\u6e05\u6670\u7684\u56fe\u50cf\u3002UNet\u662f\u90a3\u628a\u201c\u6838\u5fc3\u753b\u7b14\u201d&#xff0c;Prompt\u662f\u90a3\u4efd\u201c\u5bfc\u822a\u5730\u56fe\u201d\u3002 \u4f46\u8c01\u6765\u6307\u6325\u8fd9\u628a\u753b\u7b14&#xff0c;\u51b3\u5b9a\u5b83\u5728\u6bcf\u4e00\u6b65\u5e94\u8be5\u9884\u6d4b\u591a\u5c11\u566a\u58f0&#xff1f;\u8c01\u6765\u63a7\u5236\u53bb\u566a\u7684\u8282\u594f&#xff0c;\u8ba9\u56fe\u50cf\u4ece\u6a21\u7cca\u5230\u6e05\u6670\u7684\u8fc7\u6e21&#xff0c;\u65e2\u9ad8\u6548\u53c8\u81ea\u7136&#xff1f; <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250810063948-68983eb449960.jpg\" alt=\"\u566a\u58f0\u5230\u56fe\u50cf\" \/><\/p>\n<p>\u8fd9\u80cc\u540e&#xff0c;\u662fDiffusion\u6a21\u578b\u63a8\u7406\u4e2d\u4e24\u4e2a\u81f3\u5173\u91cd\u8981\u7684\u6982\u5ff5\u2014\u2014Timestep&#xff08;\u65f6\u95f4\u6b65&#xff09;\u548cScheduler&#xff08;\u8c03\u5ea6\u5668&#xff09;\u3002\u5b83\u4eec\u5c31\u50cfAI\u753b\u5bb6\u7684\u201c\u65f6\u5e8f\u6307\u6325\u68d2\u201d&#xff0c;\u7cbe\u786e\u63a7\u5236\u7740\u53bb\u566a\u7684\u8282\u594f\u548c\u201c\u753b\u98ce\u201d&#xff0c;\u662fDiffusion\u6a21\u578b\u751f\u6210\u201c\u9b54\u5e7b\u201d\u753b\u9762\u7684\u6838\u5fc3\u79d8\u5bc6\u3002<\/p>\n<h2>\u7b2c\u4e00\u7ae0&#xff1a;Timestep&#xff1a;\u6269\u6563\u8fc7\u7a0b\u7684\u201c\u65f6\u95f4\u8f74\u201d<\/h2>\n<p>\u7406\u89e3Timestep\u5728\u6269\u6563\u8fc7\u7a0b\u4e2d\u7684\u6838\u5fc3\u4f5c\u7528&#xff0c;\u5b83\u4ee3\u8868\u4e86\u53bb\u566a\u7684\u201c\u5f53\u524d\u9636\u6bb5\u201d\u548c\u56fe\u50cf\u7684\u201c\u566a\u58f0\u91cf\u201d\u3002<\/p>\n<h3>1.1 \u6982\u5ff5&#xff1a;\u4eceT\u52300\u7684\u201c\u5012\u8ba1\u65f6\u201d<\/h3>\n<p>\u5728\u6269\u6563\u6a21\u578b\u4e2d&#xff0c;\u6574\u4e2a\u53bb\u566a\u8fc7\u7a0b\u88ab\u5212\u5206\u4e3a\u4e00\u7cfb\u5217\u7684\u65f6\u95f4\u6b65&#xff08;Timesteps&#xff09;\u3002<\/p>\n<p>\u524d\u5411\u6269\u6563&#xff1a;\u901a\u5e38\u6709T\u4e2a\u65f6\u95f4\u6b65&#xff08;\u4f8b\u5982T&#061;1000&#xff09;&#xff0c;\u4ecet&#061;0&#xff08;\u539f\u59cb\u56fe\u7247&#xff09;\u9010\u6b65\u52a0\u566a\u5230t&#061;T&#xff08;\u7eaf\u566a\u58f0&#xff09;\u3002<\/p>\n<p>\u53cd\u5411\u53bb\u566a&#xff1a;\u63a8\u7406\u8fc7\u7a0b\u5219\u662f\u8fd9\u4e2a\u7684\u9006\u8fc7\u7a0b&#xff0c;\u4ecet&#061;T&#xff08;\u7eaf\u566a\u58f0&#xff09;\u9010\u6b65\u53bb\u566a\u5230t&#061;0&#xff08;\u6e05\u6670\u56fe\u7247&#xff09;\u3002<\/p>\n<p>\u6240\u4ee5&#xff0c;\u4f60\u53ef\u4ee5\u628aTimestep\u7406\u89e3\u4e3a\u53bb\u566a\u8fc7\u7a0b\u4e2d\u7684\u4e00\u4e2a\u201c\u5012\u8ba1\u65f6\u201d\u6216\u201c\u8fdb\u5ea6\u6761\u201d\u3002t\u8d8a\u5927&#xff0c;\u56fe\u7247\u8d8a\u63a5\u8fd1\u7eaf\u566a\u58f0&#xff1b;t\u8d8a\u5c0f&#xff08;\u8d8b\u8fd1\u4e8e0&#xff09;&#xff0c;\u56fe\u7247\u8d8a\u63a5\u8fd1\u6e05\u6670\u539f\u56fe\u3002<\/p>\n<h3>1.2 \u4e3a\u4ec0\u4e48\u9700\u8981Timestep&#xff1f;\u2014\u2014 AI\u7406\u89e3\u566a\u58f0\u91cf\u7684\u201c\u523b\u5ea6\u201d<\/h3>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250810063951-68983eb79f9e4.jpg\" alt=\"AI\u7406\u89e3\u566a\u58f0\u91cf\u7684\u201c\u523b\u5ea6\u201d\" \/><\/p>\n<p>\u9884\u6d4b\u566a\u58f0\u7684U-Net\u6a21\u578b&#xff0c;\u5176\u8f93\u5165\u4e0d\u4ec5\u5305\u542b\u5e26\u566a\u56fe\u50cf&#xff0c;\u8fd8\u5fc5\u987b\u5305\u542b\u5f53\u524d\u7684Timestep\u4fe1\u606f\u3002<\/p>\n<p>\u6307\u793a\u566a\u58f0\u91cf&#xff1a;U-Net\u9700\u8981\u77e5\u9053\u5f53\u524d\u56fe\u7247\u4e2d\u7684\u566a\u58f0\u91cf\u6709\u591a\u5927\u3002Timestep\u503c\u8d8a\u5927&#xff0c;\u6a21\u578b\u5c31\u77e5\u9053\u5f53\u524d\u566a\u58f0\u91cf\u5927&#xff0c;\u5e94\u8be5\u9884\u6d4b\u5e76\u53bb\u9664\u5927\u91cf\u7684\u566a\u58f0\u3002Timestep\u503c\u8d8a\u5c0f&#xff0c;\u6a21\u578b\u5c31\u77e5\u9053\u5f53\u524d\u56fe\u7247\u5df2\u7ecf\u5f88\u6e05\u6670\u4e86&#xff0c;\u53ea\u9700\u8981\u9884\u6d4b\u548c\u53bb\u9664\u5fae\u5c0f\u7684\u6b8b\u4f59\u566a\u58f0\u3002<\/p>\n<p>\u4f18\u5316\u9884\u6d4b&#xff1a;\u5728\u8bad\u7ec3\u65f6&#xff0c;U-Net\u4f1a\u5b66\u4e60\u5728\u4e0d\u540cTimestep\u4e0b\u9884\u6d4b\u5bf9\u5e94\u7684\u566a\u58f0\u3002Timestep\u5c31\u50cf\u4e00\u4e2a\u201c\u523b\u5ea6\u201d&#xff0c;\u544a\u8bc9U-Net\u5f53\u524d\u6240\u5904\u7684\u5b66\u4e60\u9636\u6bb5&#xff0c;\u4ee5\u4fbf\u5b83\u505a\u51fa\u6700\u7cbe\u786e\u7684\u9884\u6d4b\u3002<\/p>\n<h2>\u7b2c\u4e8c\u7ae0&#xff1a;Scheduler&#xff1a;\u63a7\u5236\u53bb\u566a\u201c\u6b65\u8c03\u201d\u7684\u201c\u8282\u594f\u5927\u5e08\u201d<\/h2>\n<p>\u6df1\u5165Scheduler\u7684\u6838\u5fc3\u804c\u8d23&#xff0c;\u5e76\u5bf9\u6bd4DDPM\u3001DDIM\u3001PNDM\u7b49\u591a\u79cd\u7ecf\u5178\u8c03\u5ea6\u5668\u7684\u8bbe\u8ba1\u54f2\u5b66\u4e0e\u4f18\u52a3\u52bf\u3002<\/p>\n<h3>2.1 \u4ec0\u4e48\u662fScheduler&#xff1f;\u2014\u2014 \u5236\u5b9a\u53bb\u566a\u7b56\u7565\u7684\u201c\u7b97\u6cd5\u5927\u8111\u201d<\/h3>\n<p>**Scheduler&#xff08;\u8c03\u5ea6\u5668&#xff09;**\u662fDiffusion\u6a21\u578b\u4e2d\u4e00\u4e2a\u6781\u5176\u91cd\u8981\u7684\u7ec4\u4ef6\u3002\u5b83\u8d1f\u8d23&#xff1a; \u5b9a\u4e49\u65f6\u95f4\u6b65\u5e8f\u5217&#xff1a;\u51b3\u5b9a\u53bb\u566a\u8fc7\u7a0b\u8981\u7ecf\u5386\u591a\u5c11\u6b65&#xff08;\u4f8b\u598225\u6b65\u300150\u6b65&#xff09;&#xff0c;\u4ee5\u53ca\u8fd9\u4e9b\u6b65\u5bf9\u5e94\u6269\u6563\u6a21\u578b\u7684\u54ea\u4e2aTimestep&#xff08;\u4f8b\u5982\u4ecet&#061;900\u8df3\u5230t&#061;800&#xff0c;\u518d\u5230t&#061;700\u2026&#xff09;\u3002<\/p>\n<p>\u8ba1\u7b97\u566a\u58f0\u91cf\u4e0e\u53bb\u566a\u6b65\u957f&#xff1a;\u6839\u636e\u5b9a\u4e49\u7684\u7b97\u6cd5&#xff0c;\u8ba1\u7b97\u5728\u6bcf\u4e2a\u65f6\u95f4\u6b65\u5e94\u8be5\u9884\u6d4b\u548c\u79fb\u9664\u591a\u5c11\u566a\u58f0&#xff0c;\u4ee5\u53ca\u5982\u4f55\u4ece\u5f53\u524d\u72b6\u6001\u63a8\u5bfc\u51fa\u4e0b\u4e00\u4e2a\u66f4\u5e72\u51c0\u7684\u72b6\u6001\u3002<\/p>\n<p>\u4e0d\u540c\u7684Scheduler&#xff0c;\u5c31\u50cf\u4e0d\u540c\u7684\u201c\u7ed8\u753b\u6d41\u6d3e\u201d\u6216\u201c\u6307\u6325\u5bb6\u201d&#xff0c;\u5b83\u4eec\u7528\u4e0d\u540c\u7684\u7b56\u7565\u6765\u6307\u5bfcU-Net\u5b8c\u6210\u201c\u53bb\u566a\u201d\u8fd9\u4e2a\u6838\u5fc3\u4efb\u52a1\u3002<\/p>\n<h3>2.2 \u6838\u5fc3\u804c\u8d23&#xff1a;\u751f\u6210\u65f6\u95f4\u6b65\u5e8f\u5217\u4e0e\u8ba1\u7b97\u566a\u58f0\u91cf<\/h3>\n<p>set_timesteps(num_inference_steps)&#xff1a;Scheduler\u4f1a\u6839\u636e\u4f60\u6307\u5b9a\u7684\u63a8\u7406\u6b65\u6570&#xff08;\u4f8b\u598225\u6b65&#xff09;&#xff0c;\u4ece\u603b\u76841000\u4e2a\u8bad\u7ec3\u65f6\u95f4\u6b65\u4e2d&#xff0c;\u667a\u80fd\u5730\u9009\u62e9\u51fa25\u4e2a\u65f6\u95f4\u6b65&#xff0c;\u4f5c\u4e3a\u5b9e\u9645\u7684\u53bb\u566a\u8def\u5f84\u3002\u8fd9\u4e9b\u65f6\u95f4\u6b65\u901a\u5e38\u662f\u975e\u5747\u5300\u5206\u5e03\u7684&#xff0c;\u4f8b\u5982\u5728\u53bb\u566a\u521d\u671f&#xff08;\u566a\u58f0\u5927&#xff09;\u6b65\u957f\u53ef\u4ee5\u5927\u4e00\u4e9b&#xff0c;\u5728\u540e\u671f&#xff08;\u566a\u58f0\u5c0f&#xff0c;\u7ec6\u8282\u591a&#xff09;\u6b65\u957f\u53ef\u4ee5\u5c0f\u4e00\u4e9b\u3002<\/p>\n<p>scheduler.step(noise_pred, t, latent)&#xff1a;\u8fd9\u662fScheduler\u5728\u6bcf\u4e2a\u53bb\u566a\u5faa\u73af\u4e2d\u88ab\u8c03\u7528\u7684\u6838\u5fc3\u65b9\u6cd5\u3002\u5b83\u63a5\u6536U-Net\u9884\u6d4b\u7684\u566a\u58f0&#xff0c;\u5f53\u524d\u65f6\u95f4\u6b65t\u548c\u5f53\u524d\u7684latent&#xff0c;\u7136\u540e\u6839\u636e\u5176\u5185\u90e8\u7b97\u6cd5&#xff0c;\u8ba1\u7b97\u51fa\u4e0b\u4e00\u4e2a\u66f4\u5e72\u51c0\u7684latent\u3002<\/p>\n<h3>2.3 DDPM Scheduler&#xff1a;\u6700\u7ecf\u5178\u7684\u201c\u7ebf\u6027\u51cf\u566a\u201d<\/h3>\n<p>\u539f\u7406&#xff1a;DDPM&#xff08;Ho et al., 2020&#xff09;\u662f\u6269\u6563\u6a21\u578b\u7684\u57fa\u77f3\u3002\u5176\u8c03\u5ea6\u5668\u91c7\u7528\u7ebf\u6027\u566a\u58f0\u8c03\u5ea6&#xff0c;\u5373\u566a\u58f0\u91cf\u968f\u65f6\u95f4\u6b65\u5747\u5300\u51cf\u5c11\u3002\u5728\u63a8\u7406\u65f6&#xff0c;\u5b83\u5bf9\u5e94\u7684\u662f\u968f\u673a\u91c7\u6837&#xff0c;\u53bb\u566a\u6b65\u957f\u901a\u5e38\u8f83\u5c0f&#xff0c;\u9700\u8981\u8f83\u591a\u6b65\u624d\u80fd\u5f97\u5230\u597d\u7ed3\u679c\u3002<\/p>\n<p>\u7279\u70b9&#xff1a;\u8bad\u7ec3\u7a33\u5b9a&#xff0c;\u751f\u6210\u8d28\u91cf\u9ad8&#xff0c;\u4f46\u63a8\u7406\u901f\u5ea6\u76f8\u5bf9\u8f83\u6162&#xff08;\u9700\u8981\u7ea61000\u6b65\u624d\u80fd\u8fbe\u5230\u6700\u4f73&#xff09;<\/p>\n<h3>2.4 DDIM Scheduler&#xff1a;\u52a0\u901f\u91c7\u6837\u7684\u201c\u6377\u5f84\u201d<\/h3>\n<p>\u539f\u7406&#xff1a;DDIM&#xff08;Song et al., 2020&#xff09;\u662f\u5bf9DDPM\u7684\u6539\u8fdb&#xff0c;\u5b83\u53d1\u73b0DDPM\u7684\u53bb\u566a\u8fc7\u7a0b\u662f\u786e\u5b9a\u6027\u7684\u3002\u8fd9\u610f\u5473\u7740&#xff0c;\u5728\u63a8\u7406\u9636\u6bb5&#xff0c;\u6211\u4eec\u53ef\u4ee5\u8df3\u8fc7\u4e2d\u95f4\u7684\u4e00\u4e9b\u65f6\u95f4\u6b65&#xff0c;\u76f4\u63a5\u4ece\u8f83\u8fdc\u7684\u8fc7\u53bb\u4e00\u6b65\u63a8\u5bfc\u51fa\u8f83\u8fd1\u7684\u672a\u6765&#xff0c;\u4ece\u800c\u5927\u5e45\u51cf\u5c11\u63a8\u7406\u6b65\u6570\u3002<\/p>\n<p>\u7279\u70b9&#xff1a;\u5728\u4ec5\u7528\u51e0\u5341\u6b65&#xff08;\u4f8b\u598250\u6b65&#xff09;\u65f6&#xff0c;DDIM\u5c31\u80fd\u83b7\u5f97\u4e0eDDPM\u7528\u51e0\u767e\u6b65\u76f8\u4f3c\u7684\u751f\u6210\u8d28\u91cf&#xff0c;\u662f\u52a0\u901f\u91c7\u6837\u7684\u5148\u9a71\u3002<\/p>\n<h3>2.5 PNDM Scheduler&#xff1a;\u517c\u987e\u901f\u5ea6\u4e0e\u8d28\u91cf\u7684\u201c\u5e73\u6ed1\u201d\u4e4b\u8def<\/h3>\n<p>\u539f\u7406&#xff1a;PNDM&#xff08;Pseudo-numerical Diffusion Models&#xff09;\u662f\u4e00\u79cd\u4f2a\u6570\u503cODE\u6c42\u89e3\u5668&#xff0c;\u5b83\u4ece\u6570\u5b66\u4e0a\u4f18\u5316\u4e86\u53bb\u566a\u8fc7\u7a0b&#xff0c;\u4f7f\u5f97\u7528\u66f4\u5c11\u7684\u6b65\u6570\u5c31\u80fd\u8fbe\u5230\u66f4\u597d\u7684\u751f\u6210\u6548\u679c&#xff0c;\u5e76\u4e14\u751f\u6210\u7684\u56fe\u50cf\u66f4\u52a0\u5e73\u6ed1\u3001\u81ea\u7136\u3002\u5b83\u901a\u5e38\u6bd4DDIM\u5728\u66f4\u5c11\u7684\u6b65\u6570\u4e0b\u751f\u6210\u66f4\u6e05\u6670\u7684\u56fe\u50cf\u3002<\/p>\n<p>\u7279\u70b9&#xff1a;\u76ee\u524d\u5728diffusers\u5e93\u4e2d&#xff0c;\u662fStable Diffusion\u7684\u9ed8\u8ba4\u8c03\u5ea6\u5668\u4e4b\u4e00&#xff0c;\u517c\u987e\u4e86\u901f\u5ea6\u548c\u8d28\u91cf\u3002<\/p>\n<h3>2.6 \u66f4\u591a\u8c03\u5ea6\u5668&#xff1a;Diffusion\u6a21\u578b\u7684\u201c\u7b97\u6cd5\u4e07\u82b1\u7b52\u201d<\/h3>\n<p>\u6269\u6563\u6a21\u578b\u9886\u57df\u4e0d\u65ad\u6d8c\u73b0\u65b0\u7684\u8c03\u5ea6\u5668&#xff0c;\u5982&#xff1a;<\/p>\n<p>EulerDiscreteScheduler&#xff1a;\u7b80\u5355\u3001\u7a33\u5b9a&#xff0c;\u901a\u5e38\u662f\u8bb8\u591a\u65b0\u6a21\u578b\u9ed8\u8ba4\u7684\u521d\u59cb\u9009\u62e9\u3002<\/p>\n<p>DPM-Solver (Karras et al., 2022)&#xff1a;\u4e00\u7ec4\u9ad8\u6548\u7684\u6c42\u89e3\u5668&#xff0c;\u80fd\u7528\u6781\u5c11\u7684\u6b65\u6570&#xff08;\u598210-20\u6b65&#xff09;\u751f\u6210\u9ad8\u8d28\u91cf\u56fe\u50cf\u3002<\/p>\n<p>LCM (Latent Consistency Models)&#xff1a;\u66f4\u662f\u80fd\u5b9e\u73b0\u4e00\u6b65\u751f\u6210\u7684\u8d85\u5feb\u901f\u91c7\u6837\u3002 \u4e0d\u540c\u7684\u8c03\u5ea6\u5668\u5728\u901f\u5ea6\u3001\u8d28\u91cf\u3001\u7a33\u5b9a\u6027\u4e4b\u95f4\u6709\u4e0d\u540c\u7684\u6743\u8861\u3002<\/p>\n<h2>\u7b2c\u4e09\u7ae0&#xff1a;\u4eb2\u624b\u5207\u6362\u8c03\u5ea6\u5668&#xff1a;\u611f\u53d7\u4e0d\u540c\u201c\u753b\u98ce\u201d<\/h2>\n<p>\u6211\u4eec\u5c06\u4f7f\u7528diffusers\u5e93&#xff0c;\u52a0\u8f7dStable Diffusion Pipeline&#xff0c;\u5e76\u4eb2\u624b\u5207\u6362\u4e0d\u540c\u7684\u8c03\u5ea6\u5668&#xff0c;\u89c2\u5bdf\u5b83\u4eec\u751f\u6210\u7684\u65f6\u95f4\u6b65\u5e8f\u5217&#xff0c;\u5e76\u5bf9\u6bd4\u6700\u7ec8\u56fe\u50cf\u7684\u201c\u8282\u594f\u201d\u4e0e\u201c\u753b\u98ce\u201d\u3002 <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250810063954-68983ebabfa6c.jpg\" alt=\"\u5207\u6362\u8c03\u5ea6\u5668\" \/><\/p>\n<p>\u524d\u7f6e\u51c6\u5907&#xff1a; \u8bf7\u786e\u4fdd\u4f60\u7684\u73af\u5883\u4e2d\u5df2\u7ecf\u5b89\u88c5\u4e86diffusers, transformers, torch, Pillow, matplotlib\u3002<\/p>\n<p>pip install diffusers transformers torch Pillow matplotlib<\/p>\n<p>\u767b\u5f55Hugging Face Hub&#xff1a;\u67d0\u4e9b\u6a21\u578b\u53ef\u80fd\u9700\u8981\u767b\u5f55Hugging Face Hub\u624d\u80fd\u4e0b\u8f7d\u3002\u8bf7\u8fd0\u884c huggingface-cli login\u3002<\/p>\n<h3>3.1 \u7ec4\u4ef6\u51c6\u5907&#xff1a;\u52a0\u8f7dStable Diffusion Pipeline\u4e0eScheduler<\/h3>\n<p>diffusers\u5e93\u7684StableDiffusionPipeline\u5df2\u7ecf\u5305\u542b\u4e86\u6240\u6709\u7ec4\u4ef6\u3002\u6211\u4eec\u53ea\u9700\u8981\u52a0\u8f7d\u5b83&#xff0c;\u5e76\u53ef\u4ee5\u65b9\u4fbf\u5730\u66ff\u6362\u5176\u5185\u90e8\u7684\u8c03\u5ea6\u5668\u3002<\/p>\n<p># scheduler_comparison_demo<span class=\"token punctuation\">.<\/span>py<\/p>\n<p><span class=\"token keyword\">import<\/span> torch<br \/>\nfrom diffusers <span class=\"token keyword\">import<\/span> StableDiffusionPipeline<br \/>\nfrom diffusers<span class=\"token punctuation\">.<\/span>schedulers <span class=\"token keyword\">import<\/span> DDIMScheduler<span class=\"token punctuation\">,<\/span> PNDMScheduler<span class=\"token punctuation\">,<\/span> EulerDiscreteScheduler # \u5bfc\u5165\u4e0d\u540c\u8c03\u5ea6\u5668<br \/>\nfrom PIL <span class=\"token keyword\">import<\/span> Image<br \/>\n<span class=\"token keyword\">import<\/span> matplotlib<span class=\"token punctuation\">.<\/span>pyplot <span class=\"token operator\">as<\/span> plt<br \/>\n<span class=\"token keyword\">import<\/span> os<\/p>\n<p># <span class=\"token operator\">&#8212;<\/span><span class=\"token operator\">&#8211;<\/span> <span class=\"token number\">0.<\/span> \u5b9a\u4e49\u6a21\u578bID\u548c\u901a\u7528\u53c2\u6570 <span class=\"token operator\">&#8212;<\/span><span class=\"token operator\">&#8211;<\/span><br \/>\nSD_MODEL_ID <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;runwayml\/stable-diffusion-v1-5&#034;<\/span><br \/>\nDEVICE <span class=\"token operator\">&#061;<\/span> torch<span class=\"token punctuation\">.<\/span><span class=\"token function\">device<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;cuda&#034;<\/span> <span class=\"token keyword\">if<\/span> torch<span class=\"token punctuation\">.<\/span>cuda<span class=\"token punctuation\">.<\/span><span class=\"token function\">is_available<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">else<\/span> <span class=\"token string\">&#034;cpu&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p># <span class=\"token operator\">&#8212;<\/span><span class=\"token operator\">&#8211;<\/span> <span class=\"token number\">1.<\/span> \u52a0\u8f7d Stable Diffusion Pipeline <span class=\"token operator\">&#8212;<\/span><span class=\"token operator\">&#8211;<\/span><br \/>\n<span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;&#8212; 1. \u52a0\u8f7d Stable Diffusion Pipeline &#8212;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n# \u8f7d\u5165\u57fa\u7840pipeline&#xff0c;\u5176\u4e2d\u5305\u542b\u4e86unet<span class=\"token punctuation\">,<\/span> vae<span class=\"token punctuation\">,<\/span> text_encoder\u7b49<br \/>\n# \u6ce8\u610f<span class=\"token punctuation\">:<\/span> torch_dtype<span class=\"token operator\">&#061;<\/span>torch<span class=\"token punctuation\">.<\/span>float16 \u53ef\u4ee5\u8282\u7701\u663e\u5b58&#xff0c;\u52a0\u5feb\u63a8\u7406<br \/>\npipe <span class=\"token operator\">&#061;<\/span> StableDiffusionPipeline<span class=\"token punctuation\">.<\/span><span class=\"token function\">from_pretrained<\/span><span class=\"token punctuation\">(<\/span>SD_MODEL_ID<span class=\"token punctuation\">,<\/span> torch_dtype<span class=\"token operator\">&#061;<\/span>torch<span class=\"token punctuation\">.<\/span>float16<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token function\">to<\/span><span class=\"token punctuation\">(<\/span>DEVICE<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Stable Diffusion Pipeline \u52a0\u8f7d\u5b8c\u6210&#xff01;&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p># \u786e\u4fdd\u4fdd\u5b58\u56fe\u50cf\u7684\u76ee\u5f55\u5b58\u5728<br \/>\noutput_dir <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;scheduler_results&#034;<\/span><br \/>\nos<span class=\"token punctuation\">.<\/span><span class=\"token function\">makedirs<\/span><span class=\"token punctuation\">(<\/span>output_dir<span class=\"token punctuation\">,<\/span> exist_ok<span class=\"token operator\">&#061;<\/span>True<span class=\"token punctuation\">)<\/span><\/p>\n<p>\u3010\u4ee3\u7801\u89e3\u8bfb\u3011 \u6211\u4eec\u52a0\u8f7d\u4e86StableDiffusionPipeline&#xff0c;\u8fd9\u662f\u4e00\u4e2a\u9ad8\u7ea7\u5c01\u88c5&#xff0c;\u5185\u90e8\u5305\u542b\u4e86\u6240\u6709\u5fc5\u8981\u7684\u7ec4\u4ef6\u3002\u6211\u4eec\u5c06\u5728\u5b83\u4e0a\u9762\u5207\u6362scheduler\u3002<\/p>\n<h3>3.2 \u89c2\u5bdf\u4e0d\u540c\u8c03\u5ea6\u5668\u751f\u6210\u7684\u65f6\u95f4\u6b65\u5e8f\u5217<\/h3>\n<p>\u76ee\u6807&#xff1a;\u4f7f\u7528\u4e0d\u540c\u7684\u8c03\u5ea6\u5668&#xff0c;\u89c2\u5bdf\u5b83\u4eec\u5728\u7ed9\u5b9a\u76f8\u540c\u63a8\u7406\u6b65\u6570\u65f6&#xff0c;\u5982\u4f55\u751f\u6210\u4e0d\u540c\u7684Timestep\u5e8f\u5217\u3002\u8fd9\u5c06\u76f4\u89c2\u5730\u5c55\u793a\u8c03\u5ea6\u5668\u5982\u4f55\u201c\u89c4\u5212\u8def\u5f84\u201d\u3002<\/p>\n<p># scheduler_comparison_demo<span class=\"token punctuation\">.<\/span>py <span class=\"token punctuation\">(<\/span>\u7eed<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\n&#8212; 3.2 \u6848\u4f8b#001&#xff1a;\u89c2\u5bdf\u4e0d\u540c\u8c03\u5ea6\u5668\u7684\u65f6\u95f4\u6b65\u5e8f\u5217 &#8212;&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p># \u5b9e\u4f8b\u5316\u4e0d\u540c\u7c7b\u578b\u7684\u8c03\u5ea6\u5668<br \/>\nddim_scheduler <span class=\"token operator\">&#061;<\/span> DDIMScheduler<span class=\"token punctuation\">.<\/span><span class=\"token function\">from_pretrained<\/span><span class=\"token punctuation\">(<\/span>SD_MODEL_ID<span class=\"token punctuation\">,<\/span> subfolder<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;scheduler&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\npndm_scheduler <span class=\"token operator\">&#061;<\/span> PNDMScheduler<span class=\"token punctuation\">.<\/span><span class=\"token function\">from_pretrained<\/span><span class=\"token punctuation\">(<\/span>SD_MODEL_ID<span class=\"token punctuation\">,<\/span> subfolder<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;scheduler&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\neuler_scheduler <span class=\"token operator\">&#061;<\/span> EulerDiscreteScheduler<span class=\"token punctuation\">.<\/span><span class=\"token function\">from_pretrained<\/span><span class=\"token punctuation\">(<\/span>SD_MODEL_ID<span class=\"token punctuation\">,<\/span> subfolder<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;scheduler&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>num_inference_steps_test <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">20<\/span> # \u7edf\u4e00\u4f7f\u7528<span class=\"token number\">20<\/span>\u6b65\u6765\u89c2\u5bdf<\/p>\n<p><span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span>f<span class=\"token string\">&#034;\\\\n&#8212; DDIM Scheduler ({num_inference_steps_test}\u6b65) &#8212;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nddim_scheduler<span class=\"token punctuation\">.<\/span><span class=\"token function\">set_timesteps<\/span><span class=\"token punctuation\">(<\/span>num_inference_steps_test<span class=\"token punctuation\">,<\/span> device<span class=\"token operator\">&#061;<\/span>DEVICE<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span>ddim_scheduler<span class=\"token punctuation\">.<\/span>timesteps<span class=\"token punctuation\">.<\/span><span class=\"token function\">cpu<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token function\">numpy<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span> # \u6253\u5370\u65f6\u95f4\u6b65\u5e8f\u5217<\/p>\n<p><span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span>f<span class=\"token string\">&#034;\\\\n&#8212; PNDM Scheduler ({num_inference_steps_test}\u6b65) &#8212;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\npndm_scheduler<span class=\"token punctuation\">.<\/span><span class=\"token function\">set_timesteps<\/span><span class=\"token punctuation\">(<\/span>num_inference_steps_test<span class=\"token punctuation\">,<\/span> device<span class=\"token operator\">&#061;<\/span>DEVICE<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span>pndm_scheduler<span class=\"token punctuation\">.<\/span>timesteps<span class=\"token punctuation\">.<\/span><span class=\"token function\">cpu<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token function\">numpy<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span>f<span class=\"token string\">&#034;\\\\n&#8212; EulerDiscrete Scheduler ({num_inference_steps_test}\u6b65) &#8212;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\neuler_scheduler<span class=\"token punctuation\">.<\/span><span class=\"token function\">set_timesteps<\/span><span class=\"token punctuation\">(<\/span>num_inference_steps_test<span class=\"token punctuation\">,<\/span> device<span class=\"token operator\">&#061;<\/span>DEVICE<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span>euler_scheduler<span class=\"token punctuation\">.<\/span>timesteps<span class=\"token punctuation\">.<\/span><span class=\"token function\">cpu<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token function\">numpy<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\n\u2705 \u4e0d\u540c\u8c03\u5ea6\u5668\u65f6\u95f4\u6b65\u5e8f\u5217\u89c2\u5bdf\u5b8c\u6210&#xff01;\u53ef\u4ee5\u770b\u5230\u5b83\u4eec\u9009\u62e9\u7684\u8def\u5f84\u4e0d\u540c\u3002&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u4ee3\u7801\u89e3\u8bfb<\/p>\n<p>\u8fd9\u6bb5\u4ee3\u7801\u5c06\u76f4\u89c2\u5730\u5c55\u793a\u4e0d\u540c\u8c03\u5ea6\u5668\u5728\u7ed9\u5b9a\u76f8\u540cnum_inference_steps\u65f6&#xff0c;\u5982\u4f55\u9009\u62e9\u5176\u5185\u90e8\u7684Timestep\u3002\u4f60\u4f1a\u53d1\u73b0\u5b83\u4eec\u9009\u62e9\u7684\u65f6\u95f4\u6b65\u5e8f\u5217\u662f\u4e0d\u540c\u7684&#xff0c;\u6709\u4e9b\u53ef\u80fd\u66f4\u5bc6\u96c6\u5728\u65e9\u671f&#xff0c;\u6709\u4e9b\u5219\u66f4\u5747\u5300\u3002<\/p>\n<h3>3.3 \u5207\u6362\u8c03\u5ea6\u5668&#xff0c;\u751f\u6210\u4e0d\u540c\u201c\u753b\u98ce\u201d\u7684\u56fe\u50cf<\/h3>\n<p>\u76ee\u6807&#xff1a;\u4f7f\u7528\u76f8\u540c\u7684Prompt\u548c\u968f\u673a\u79cd\u5b50&#xff0c;\u4f46\u5207\u6362\u4e0d\u540c\u7684\u8c03\u5ea6\u5668\u6765\u751f\u6210\u56fe\u50cf&#xff0c;\u89c2\u5bdf\u5b83\u4eec\u5728\u201c\u753b\u98ce\u201d\u548c\u201c\u7ec6\u8282\u201d\u4e0a\u7684\u5dee\u5f02\u3002<\/p>\n<p># scheduler_comparison_demo<span class=\"token punctuation\">.<\/span>py <span class=\"token punctuation\">(<\/span>\u7eed<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\n&#8212; 3.3 \u6848\u4f8b#002&#xff1a;\u5207\u6362\u8c03\u5ea6\u5668&#xff0c;\u751f\u6210\u4e0d\u540c\u201c\u753b\u98ce\u201d\u7684\u56fe\u50cf &#8212;&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>test_prompt <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;A futuristic city at sunset, highly detailed, cinematic lighting&#034;<\/span><br \/>\ntest_seed <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">42<\/span><br \/>\nnum_inference_steps_gen <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">25<\/span> # \u751f\u6210\u56fe\u50cf\u7684\u6b65\u6570<\/p>\n<p>schedulers_to_test <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">{<\/span><br \/>\n    <span class=\"token string\">&#034;DDIM&#034;<\/span><span class=\"token punctuation\">:<\/span> DDIMScheduler<span class=\"token punctuation\">.<\/span><span class=\"token function\">from_pretrained<\/span><span class=\"token punctuation\">(<\/span>SD_MODEL_ID<span class=\"token punctuation\">,<\/span> subfolder<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;scheduler&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;PNDM&#034;<\/span><span class=\"token punctuation\">:<\/span> PNDMScheduler<span class=\"token punctuation\">.<\/span><span class=\"token function\">from_pretrained<\/span><span class=\"token punctuation\">(<\/span>SD_MODEL_ID<span class=\"token punctuation\">,<\/span> subfolder<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;scheduler&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;EulerDiscrete&#034;<\/span><span class=\"token punctuation\">:<\/span> EulerDiscreteScheduler<span class=\"token punctuation\">.<\/span><span class=\"token function\">from_pretrained<\/span><span class=\"token punctuation\">(<\/span>SD_MODEL_ID<span class=\"token punctuation\">,<\/span> subfolder<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;scheduler&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token punctuation\">}<\/span><\/p>\n<p>plt<span class=\"token punctuation\">.<\/span><span class=\"token function\">figure<\/span><span class=\"token punctuation\">(<\/span>figsize<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">15<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">5<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span><span class=\"token function\">suptitle<\/span><span class=\"token punctuation\">(<\/span>f<span class=\"token string\">&#034;\u4e0d\u540c\u8c03\u5ea6\u5668\u7684\u751f\u6210\u6548\u679c (Prompt: &#039;{test_prompt[:40]}&#8230;&#039;)&#034;<\/span><span class=\"token punctuation\">,<\/span> fontsize<span class=\"token operator\">&#061;<\/span><span class=\"token number\">16<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">for<\/span> i<span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span>scheduler_name<span class=\"token punctuation\">,<\/span> current_scheduler<span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">in<\/span> <span class=\"token function\">enumerate<\/span><span class=\"token punctuation\">(<\/span>schedulers_to_test<span class=\"token punctuation\">.<\/span><span class=\"token function\">items<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span>f<span class=\"token string\">&#034;\\\\n&#8212; \u6b63\u5728\u4f7f\u7528 {scheduler_name} \u8c03\u5ea6\u5668\u751f\u6210 &#8212;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    pipe<span class=\"token punctuation\">.<\/span>scheduler <span class=\"token operator\">&#061;<\/span> current_scheduler # \u5c06\u5f53\u524d\u8c03\u5ea6\u5668\u8d4b\u503c\u7ed9pipeline<\/p>\n<p>    generator <span class=\"token operator\">&#061;<\/span> torch<span class=\"token punctuation\">.<\/span><span class=\"token function\">Generator<\/span><span class=\"token punctuation\">(<\/span>device<span class=\"token operator\">&#061;<\/span>DEVICE<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token function\">manual_seed<\/span><span class=\"token punctuation\">(<\/span>test_seed<span class=\"token punctuation\">)<\/span> # \u786e\u4fdd\u968f\u673a\u79cd\u5b50\u4e00\u81f4<\/p>\n<p>    # \u8c03\u7528pipeline\u8fdb\u884c\u751f\u6210<br \/>\n    <span class=\"token keyword\">with<\/span> torch<span class=\"token punctuation\">.<\/span><span class=\"token function\">no_grad<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        image <span class=\"token operator\">&#061;<\/span> <span class=\"token function\">pipe<\/span><span class=\"token punctuation\">(<\/span><br \/>\n            prompt<span class=\"token operator\">&#061;<\/span>test_prompt<span class=\"token punctuation\">,<\/span><br \/>\n            num_inference_steps<span class=\"token operator\">&#061;<\/span>num_inference_steps_gen<span class=\"token punctuation\">,<\/span><br \/>\n            guidance_scale<span class=\"token operator\">&#061;<\/span><span class=\"token number\">7.5<\/span><span class=\"token punctuation\">,<\/span><br \/>\n            generator<span class=\"token operator\">&#061;<\/span>generator<span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>images<span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><\/p>\n<p>    # \u663e\u793a\u7ed3\u679c<br \/>\n    plt<span class=\"token punctuation\">.<\/span><span class=\"token function\">subplot<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token function\">len<\/span><span class=\"token punctuation\">(<\/span>schedulers_to_test<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> i <span class=\"token operator\">&#043;<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    plt<span class=\"token punctuation\">.<\/span><span class=\"token function\">imshow<\/span><span class=\"token punctuation\">(<\/span>image<span class=\"token punctuation\">)<\/span><br \/>\n    plt<span class=\"token punctuation\">.<\/span><span class=\"token function\">title<\/span><span class=\"token punctuation\">(<\/span>scheduler_name<span class=\"token punctuation\">)<\/span><br \/>\n    plt<span class=\"token punctuation\">.<\/span><span class=\"token function\">axis<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;off&#039;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>    # \u4fdd\u5b58\u56fe\u50cf<br \/>\n    image<span class=\"token punctuation\">.<\/span><span class=\"token function\">save<\/span><span class=\"token punctuation\">(<\/span>os<span class=\"token punctuation\">.<\/span>path<span class=\"token punctuation\">.<\/span><span class=\"token function\">join<\/span><span class=\"token punctuation\">(<\/span>output_dir<span class=\"token punctuation\">,<\/span> f<span class=\"token string\">&#034;{scheduler_name.lower()}_{num_inference_steps_gen}_steps.png&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span>f<span class=\"token string\">&#034;\u56fe\u50cf\u5df2\u4fdd\u5b58\u5230: {os.path.join(output_dir, f&#039;{scheduler_name.lower()}_{num_inference_steps_gen}_steps.png&#039;)}&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>plt<span class=\"token punctuation\">.<\/span><span class=\"token function\">tight_layout<\/span><span class=\"token punctuation\">(<\/span>rect<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.03<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.95<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span><span class=\"token keyword\">show<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token function\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\n\u2705 \u4e0d\u540c\u8c03\u5ea6\u5668\u751f\u6210\u6548\u679c\u5bf9\u6bd4\u5b8c\u6210&#xff01;&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u4ee3\u7801\u89e3\u8bfb\u4e0e\u89c1\u8bc1\u5947\u8ff9<\/p>\n<p>\u8fd0\u884c\u8fd9\u6bb5\u4ee3\u7801&#xff0c;\u4f60\u4f1a\u770b\u5230&#xff1a;<\/p>\n<p>\u4e0d\u540c\u8c03\u5ea6\u5668\u751f\u6210\u7684\u65f6\u95f4\u6b65\u5e8f\u5217\u662f\u4e0d\u540c\u7684\u3002<\/p>\n<p>\u6700\u5173\u952e\u7684\u662f&#xff1a;\u5373\u4f7fPrompt\u3001\u79cd\u5b50\u3001\u6b65\u6570\u90fd\u76f8\u540c&#xff0c;\u7531\u4e0d\u540c\u8c03\u5ea6\u5668\u751f\u6210\u7684\u56fe\u50cf\u5728\u7ec6\u8282\u3001\u7eb9\u7406\u3001\u6e05\u6670\u5ea6\u751a\u81f3\u98ce\u683c\u4e0a\u90fd\u4f1a\u6709\u7ec6\u5fae\u4f46\u663e\u8457\u7684\u5dee\u5f02&#xff01;\u6709\u4e9b\u53ef\u80fd\u66f4\u9510\u5229&#xff0c;\u6709\u4e9b\u66f4\u5e73\u6ed1&#xff0c;\u6709\u4e9b\u5728\u4f4e\u6b65\u6570\u4e0b\u8868\u73b0\u66f4\u597d\u3002<\/p>\n<p>\u8fd9\u8bc1\u660e\u4e86\u8c03\u5ea6\u5668\u4e0d\u4ec5\u4ec5\u662f\u201c\u63a7\u5236\u53bb\u566a\u6b65\u6570\u201d&#xff0c;\u66f4\u662f\u5f71\u54cd\u6700\u7ec8\u201c\u753b\u98ce\u201d\u7684\u6838\u5fc3\u8bbe\u8ba1\u9009\u62e9\u3002<\/p>\n<h2>\u5e38\u89c1Diffusion\u8c03\u5ea6\u5668\u7684\u65f6\u95f4\u6b65\u5206\u5e03\u4e0e\u53bb\u566a\u66f2\u7ebf<\/h2>\n<p>\u7528\u4e00\u5f20\u56fe&#xff0c;\u76f4\u89c2\u5bf9\u6bd4DDPM\u3001DDIM\u3001PNDM\u7b49\u51e0\u79cd\u8c03\u5ea6\u5668\u5728\u65f6\u95f4\u6b65\u5206\u5e03\u4e0a\u7684\u5dee\u5f02&#xff0c;\u4ee5\u53ca\u5b83\u4eec\u5bf9\u53bb\u566a\u8fc7\u7a0b\u7684\u5f71\u54cd\u3002 <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250810063957-68983ebdc6129.jpg\" alt=\"\u5e38\u89c1Diffusion\u8c03\u5ea6\u5668\" \/><\/p>\n<h2>\u201c\u6b65\u6570\u5c11\u2260\u8d28\u91cf\u5dee\u201d&#xff1a;\u91c7\u6837\u6b65\u6570\u4e0e\u8c03\u5ea6\u5668\u8d28\u91cf\u7684\u6743\u8861<\/h2>\n<p>\u63ed\u793a\u91c7\u6837\u6b65\u6570\u4e0e\u751f\u6210\u8d28\u91cf\u7684\u590d\u6742\u5173\u7cfb&#xff0c;\u4ee5\u53ca\u8c03\u5ea6\u5668\u5728\u5176\u4e2d\u7684\u51b3\u5b9a\u6027\u4f5c\u7528\u3002<\/p>\n<p>\u76f4\u89c9\u4e0a&#xff0c;\u53bb\u566a\u6b65\u6570\u8d8a\u591a&#xff0c;\u56fe\u50cf\u8d28\u91cf\u5e94\u8be5\u8d8a\u597d\u3002\u4f46\u5b9e\u9645\u5e76\u975e\u5982\u6b64&#xff1a; \u8bad\u7ec3\u65f6&#xff1a;\u6269\u6563\u6a21\u578b\u5728\u8bad\u7ec3\u65f6&#xff0c;\u901a\u5e38\u4f1a\u4f7f\u7528\u5927\u91cf\u7684\u6b65\u6570&#xff08;\u59821000\u6b65&#xff09;\u8fdb\u884c\u52a0\u566a\u548c\u53bb\u566a\u3002 \u63a8\u7406\u65f6&#xff1a;\u7531\u4e8e\u8c03\u5ea6\u5668\u7684\u4f18\u5316&#xff0c;\u6211\u4eec\u53ef\u4ee5\u5728\u51e0\u5341\u6b65&#xff08;\u598220-50\u6b65&#xff09;\u751a\u81f3\u5341\u51e0\u6b65\u5185&#xff0c;\u5c31\u751f\u6210\u975e\u5e38\u9ad8\u8d28\u91cf\u7684\u56fe\u50cf\u3002 \u5173\u952e&#xff1a;\u597d\u7684\u8c03\u5ea6\u5668&#xff0c;\u5176\u6838\u5fc3\u5728\u4e8e\u5b83\u80fd\u591f\u627e\u5230\u4e00\u6761\u201c\u6377\u5f84\u201d\u6216\u201c\u6700\u4f18\u8def\u5f84\u201d&#xff0c;\u5373\u4f7f\u5728\u6709\u9650\u7684\u6b65\u6570\u4e0b&#xff0c;\u4e5f\u80fd\u8ba9\u53bb\u566a\u8fc7\u7a0b\u9ad8\u6548\u4e14\u4e0d\u635f\u5931\u592a\u591a\u7ec6\u8282\u3002 \u6240\u4ee5&#xff0c;\u91c7\u6837\u6b65\u6570\u5e76\u975e\u8d8a\u591a\u8d8a\u597d&#xff0c;\u800c\u662f\u8981\u4e0e\u8c03\u5ea6\u5668\u7684\u7b97\u6cd5\u548c\u671f\u671b\u7684\u63a8\u7406\u901f\u5ea6\u76f8\u5339\u914d\u3002<\/p>\n<h2>\u603b\u7ed3\u4e0e\u5c55\u671b&#xff1a;\u4f60\u5df2\u638c\u63e1AI\u7ed8\u753b\u7684\u201c\u6838\u5fc3\u8282\u594f\u201d<\/h2>\n<p>\u603b\u7ed3\u4e0e\u5c55\u671b&#xff1a;\u4f60\u5df2\u638c\u63e1AI\u7ed8\u753b\u7684\u201c\u6838\u5fc3\u8282\u594f\u201d<\/p>\n<p>\u606d\u559c\u4f60&#xff01;\u4eca\u5929\u4f60\u5df2\u7ecf\u6df1\u5165\u89e3\u5256\u4e86Diffusion\u6a21\u578b\u63a8\u7406\u4e2d\u7684\u4e24\u5927\u6838\u5fc3\u6982\u5ff5\u2014\u2014Timestep\u548cScheduler\u3002<\/p>\n<p>\u2728 \u672c\u7ae0\u60ca\u559c\u6982\u62ec \u2728<\/p>\n<table>\n<tr>\u4f60\u638c\u63e1\u4e86\u4ec0\u4e48&#xff1f;\u5bf9\u5e94\u7684\u6838\u5fc3\u6982\u5ff5\/\u6280\u672f<\/tr>\n<tbody>\n<tr>\n<td align=\"left\">Timestep\u7684\u542b\u4e49<\/td>\n<td align=\"left\">\u2705 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