{"id":94296,"date":"2026-08-14T08:32:55","date_gmt":"2026-08-14T00:32:55","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/94296.html"},"modified":"2026-08-14T08:32:55","modified_gmt":"2026-08-14T00:32:55","slug":"comfyui-v0-32-0%e6%9b%b4%e6%96%b0%ef%bc%9apytorch-2-7%e6%88%90%e6%9c%80%e4%bd%8e%e6%94%af%e6%8c%81%e7%89%88%e6%9c%ac%ef%bc%8cltx-2-5%e3%80%81qwen-image-3-0-pro%e3%80%81grok-imagine-image-2-0%e5%85%a8","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/94296.html","title":{"rendered":"ComfyUI v0.32.0\u66f4\u65b0\uff1aPyTorch 2.7\u6210\u6700\u4f4e\u652f\u6301\u7248\u672c\uff0cLTX 2.5\u3001Qwen-Image 3.0 Pro\u3001Grok Imagine Image 2.0\u5168\u9762\u63a5\u5165"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260814003253-6a7e62354d94f.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260814003254-6a7e62362b441.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260814003254-6a7e623666aaf.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>\u53d1\u5e03\u65e5\u671f&#xff1a;2026\u5e748\u670813\u65e5<br \/>\n\u7248\u672c&#xff1a;v0.32.0<br \/>\n\u53d1\u5e03\u72b6\u6001&#xff1a;Latest<br \/>\n\u672c\u6b21\u53d1\u5e03\u4e3a\u4e0d\u53ef\u53d8\u53d1\u5e03&#xff0c;\u53ea\u6709\u53d1\u5e03\u6807\u9898\u4e0e\u53d1\u5e03\u8bf4\u660e\u53ef\u4ee5\u4fee\u6539\u3002<\/p>\n<p>ComfyUI v0.32.0 \u5df2\u6b63\u5f0f\u53d1\u5e03\u3002\u672c\u6b21\u7248\u672c\u8986\u76d6\u4e86\u5e95\u5c42\u4f9d\u8d56\u3001\u663e\u5b58\u4e0e\u6027\u80fd\u4f18\u5316\u3001\u6a21\u578b\u4e0e\u8282\u70b9\u652f\u6301\u3001\u5de5\u4f5c\u6d41\u6a21\u677f\u3001\u8d44\u4ea7\u63a5\u53e3\u3001\u5d4c\u5957\u5f20\u91cf\u8c03\u8bd5\u3001\u56fe\u50cf\u4e0e\u97f3\u9891\u89e3\u7801\u4fee\u590d\u7b49\u591a\u4e2a\u65b9\u5411\u3002<\/p>\n<p>\u4ece\u66f4\u65b0\u5185\u5bb9\u6765\u770b&#xff0c;v0.32.0 \u7684\u91cd\u70b9\u975e\u5e38\u660e\u786e&#xff1a;\u4e00\u65b9\u9762\u7ee7\u7eed\u5b8c\u5584\u5bf9\u65b0\u6a21\u578b\u3001\u65b0\u67b6\u6784\u7684\u652f\u6301&#xff0c;\u5305\u62ec LTX 2.5\u3001Qwen-Image 3.0 Pro\u3001Grok Imagine Image 2.0&#xff1b;\u53e6\u4e00\u65b9\u9762\u96c6\u4e2d\u4fee\u590d\u4f4e\u663e\u5b58\u3001\u5d4c\u5957\u5f20\u91cf\u3001\u5206\u5757\u89e3\u7801\u3001\u89c6\u89c9\u7f16\u7801\u5668\u56de\u5f52\u7b49\u5b9e\u9645\u4f7f\u7528\u4e2d\u5bb9\u6613\u9047\u5230\u7684\u95ee\u9898\u3002\u540c\u65f6&#xff0c;\u5b98\u65b9\u652f\u6301\u7684 PyTorch \u6700\u4f4e\u7248\u672c\u8c03\u6574\u4e3a 2.7&#xff0c;\u4e5f\u610f\u5473\u7740\u8fd0\u884c\u73af\u5883\u8981\u6c42\u51fa\u73b0\u4e86\u91cd\u8981\u53d8\u5316\u3002<\/p>\n<hr \/>\n<p>\u4e00\u3001PyTorch \u6700\u4f4e\u5b98\u65b9\u652f\u6301\u7248\u672c\u63d0\u5347\u81f3 2.7<\/p>\n<p>\u672c\u6b21\u66f4\u65b0\u4e2d\u6700\u503c\u5f97\u4f18\u5148\u5173\u6ce8\u7684\u4e00\u9879&#xff0c;\u662f\u5b98\u65b9\u5c06\u6700\u4f4e\u652f\u6301\u7684 PyTorch \u7248\u672c\u8c03\u6574\u4e3a 2.7\u3002<\/p>\n<p>\u8fd9\u610f\u5473\u7740&#xff0c;\u4f4e\u4e8e PyTorch 2.7 \u7684\u73af\u5883\u4e0d\u518d\u5c5e\u4e8e\u5b98\u65b9\u652f\u6301\u8303\u56f4\u3002\u5bf9\u4e8e\u6b63\u5728\u7ef4\u62a4\u672c\u5730 ComfyUI \u73af\u5883\u7684\u7528\u6237\u6765\u8bf4&#xff0c;\u8fd9\u662f\u4e00\u9879\u9700\u8981\u91cd\u70b9\u7559\u610f\u7684\u57fa\u7840\u4f9d\u8d56\u53d8\u5316\u3002<\/p>\n<p>PyTorch \u662f ComfyUI \u63a8\u7406\u8fd0\u884c\u7684\u91cd\u8981\u5e95\u5c42\u4f9d\u8d56\u3002\u6b64\u6b21\u6700\u4f4e\u652f\u6301\u7248\u672c\u7684\u8c03\u6574&#xff0c;\u610f\u5473\u7740\u540e\u7eed\u529f\u80fd\u9002\u914d\u3001\u6027\u80fd\u4f18\u5316\u3001\u6a21\u578b\u652f\u6301\u4ee5\u53ca\u95ee\u9898\u4fee\u590d&#xff0c;\u4f1a\u4ee5 PyTorch 2.7 \u53ca\u66f4\u9ad8\u7248\u672c\u4f5c\u4e3a\u57fa\u7840\u3002<\/p>\n<p>\u5982\u679c\u5f53\u524d\u8fd0\u884c\u73af\u5883\u4e2d\u7684 PyTorch \u7248\u672c\u8f83\u4f4e&#xff0c;\u5347\u7ea7 ComfyUI v0.32.0 \u524d\u5e94\u6ce8\u610f\u786e\u8ba4\u81ea\u5df1\u7684\u4f9d\u8d56\u73af\u5883\u3002\u7279\u522b\u662f\u6d89\u53ca\u663e\u5361\u9a71\u52a8\u3001CUDA \u7248\u672c\u3001Python \u73af\u5883\u53ca\u7b2c\u4e09\u65b9\u8282\u70b9\u517c\u5bb9\u6027\u65f6&#xff0c;\u66f4\u9700\u8981\u7559\u610f\u7248\u672c\u7ec4\u5408\u3002<\/p>\n<p>\u4e0e\u6b64\u540c\u65f6&#xff0c;\u672c\u6b21\u8fd8\u8ba9 cu130 \u8b66\u544a\u66f4\u52a0\u663e\u773c\u3002\u66f4\u65b0\u8bf4\u660e\u4e2d\u660e\u786e\u63d0\u5230&#xff0c;\u9488\u5bf9 cu130 \u7684\u8b66\u544a\u63d0\u793a\u8fdb\u884c\u4e86\u589e\u5f3a&#xff0c;\u4f7f\u5176\u66f4\u5bb9\u6613\u88ab\u7528\u6237\u6ce8\u610f\u5230\u3002<\/p>\n<p>\u8fd9\u4e00\u53d8\u5316\u4e0e\u5e95\u5c42\u8fd0\u884c\u73af\u5883\u5bc6\u5207\u76f8\u5173\u3002\u5bf9\u4e8e\u4f7f\u7528\u5bf9\u5e94 CUDA \u6784\u5efa\u7248\u672c\u7684\u7528\u6237&#xff0c;\u542f\u52a8\u6216\u8fd0\u884c\u65f6\u51fa\u73b0\u7684\u63d0\u793a\u4fe1\u606f\u5c06\u66f4\u52a0\u9192\u76ee&#xff0c;\u6709\u52a9\u4e8e\u53ca\u65f6\u53d1\u73b0\u73af\u5883\u76f8\u5173\u95ee\u9898\u3002<\/p>\n<hr \/>\n<p>\u4e8c\u3001\u5d4c\u5957\u5f20\u91cf\u8c03\u8bd5\u4f53\u9a8c\u63d0\u5347&#xff0c;MiniMax-H3 \u76f8\u5173\u95ee\u9898\u96c6\u4e2d\u4f18\u5316<\/p>\n<p>v0.32.0 \u5bf9\u5d4c\u5957\u5f20\u91cf\u7684\u652f\u6301\u548c\u8c03\u8bd5\u4f53\u9a8c\u8fdb\u884c\u4e86\u591a\u9879\u5904\u7406\u3002<\/p>\n<p>\u9996\u5148&#xff0c;\u66f4\u65b0\u52a0\u5165\u4e86\u8ba9 \u5d4c\u5957\u5f20\u91cf\u66f4\u5bb9\u6613\u8c03\u8bd5 \u7684\u6539\u8fdb\u3002\u5d4c\u5957\u5f20\u91cf\u5728\u7279\u5b9a\u6a21\u578b\u3001\u7279\u5b9a\u6f5c\u7a7a\u95f4\u6570\u636e\u6216\u7279\u5b9a\u5904\u7406\u6d41\u7a0b\u4e2d\u53ef\u80fd\u51fa\u73b0&#xff0c;\u56e0\u6b64\u63d0\u9ad8\u8c03\u8bd5\u53ef\u89c1\u6027\u4e0e\u53ef\u5b9a\u4f4d\u6027&#xff0c;\u5bf9\u4e8e\u6392\u67e5\u5de5\u4f5c\u6d41\u62a5\u9519\u975e\u5e38\u91cd\u8981\u3002<\/p>\n<p>\u56f4\u7ed5 MiniMax-H3&#xff0c;\u672c\u6b21\u66f4\u65b0\u8fd8\u5305\u542b\u4e86\u591a\u9879\u76f4\u63a5\u76f8\u5173\u7684\u4f18\u5316\u4e0e\u4fee\u590d\u3002<\/p>\n<p>\u5305\u62ec&#xff1a;<\/p>\n<ul>\n<li>\u4f18\u5316 MiniMax-H3 VAE\u3002<\/li>\n<li>\u4fee\u590d VAEDecodeTiled \u5728\u5d4c\u5957\u5f20\u91cf latent \u6761\u4ef6\u4e0b\u5d29\u6e83\u7684\u95ee\u9898\u3002<\/li>\n<li>\u4fee\u590d H3 \u7684\u5cf0\u503c\u663e\u5b58\u95ee\u9898\u3002<\/li>\n<\/ul>\n<p>\u5176\u4e2d&#xff0c;VAEDecodeTiled \u662f\u56fe\u50cf\u89e3\u7801\u6d41\u7a0b\u4e2d\u7684\u91cd\u8981\u8282\u70b9\u3002\u5bf9\u4e8e\u5927\u56fe\u3001\u663e\u5b58\u53d7\u9650\u73af\u5883\u6216\u9700\u8981\u5206\u5757\u5904\u7406\u7684\u573a\u666f&#xff0c;\u5206\u5757 VAE \u89e3\u7801\u5177\u6709\u5b9e\u9645\u610f\u4e49\u3002\u6b64\u524d\u5f53 latent \u4e3a\u5d4c\u5957\u5f20\u91cf\u65f6&#xff0c;VAEDecodeTiled \u53ef\u80fd\u53d1\u751f\u5d29\u6e83&#xff1b;v0.32.0 \u5df2\u9488\u5bf9\u8fd9\u4e00\u95ee\u9898\u5b8c\u6210\u4fee\u590d\u3002<\/p>\n<p>\u6b64\u5916&#xff0c;\u672c\u6b21\u8fd8\u4f18\u5316\u4e86 MiniMax-H3 VAE&#xff0c;\u5e76\u4fee\u590d\u4e86 H3 \u7684\u5cf0\u503c\u663e\u5b58\u95ee\u9898\u3002\u5bf9\u4e8e\u4f7f\u7528 H3 \u76f8\u5173\u6a21\u578b\u4e0e\u5de5\u4f5c\u6d41\u7684\u7528\u6237&#xff0c;\u8fd9\u4e9b\u8c03\u6574\u610f\u5473\u7740\u89e3\u7801\u3001\u663e\u5b58\u5360\u7528\u548c\u6d41\u7a0b\u7a33\u5b9a\u6027\u65b9\u9762\u90fd\u5f97\u5230\u4e86\u8fdb\u4e00\u6b65\u5904\u7406\u3002<\/p>\n<p>\u5d4c\u5957\u5f20\u91cf\u8c03\u8bd5\u6539\u8fdb\u3001VAEDecodeTiled \u5d29\u6e83\u4fee\u590d\u3001MiniMax-H3 VAE \u4f18\u5316\u4ee5\u53ca\u5cf0\u503c\u663e\u5b58\u95ee\u9898\u4fee\u590d&#xff0c;\u5171\u540c\u6784\u6210\u4e86\u672c\u7248\u672c\u5728 H3 \u548c\u5d4c\u5957\u5f20\u91cf\u65b9\u5411\u4e0a\u7684\u4e00\u7ec4\u91cd\u8981\u66f4\u65b0\u3002<\/p>\n<hr \/>\n<p>\u4e09\u3001\u4f4e\u663e\u5b58\u6a21\u5f0f\u4e0b\u7684\u653e\u5927\u6a21\u578b\u95ee\u9898\u5f97\u5230\u4fee\u590d<\/p>\n<p>\u672c\u6b21\u7248\u672c\u4fee\u590d\u4e86\u4e00\u4e2a\u4e0e\u653e\u5927\u6a21\u578b\u76f8\u5173\u7684\u95ee\u9898&#xff1a;\u5728 \u975e\u52a8\u6001\u663e\u5b58\u7684\u4f4e\u663e\u5b58\u6a21\u5f0f \u4e0b&#xff0c;\u653e\u5927\u6a21\u578b\u53ef\u80fd\u51fa\u73b0\u65e0\u6cd5\u6b63\u5e38\u5de5\u4f5c\u7684\u60c5\u51b5\u3002<\/p>\n<p>\u66f4\u65b0\u540e&#xff0c;\u8be5\u95ee\u9898\u5df2\u5f97\u5230\u4fee\u590d\u3002<\/p>\n<p>\u653e\u5927\u6a21\u578b\u901a\u5e38\u7528\u4e8e\u56fe\u50cf\u8d85\u5206\u8fa8\u7387\u3001\u7ec6\u8282\u589e\u5f3a\u6216\u5c3a\u5bf8\u653e\u5927\u6d41\u7a0b\u3002\u5bf9\u4e8e\u663e\u5b58\u8d44\u6e90\u6709\u9650\u7684\u8bbe\u5907&#xff0c;\u4f4e\u663e\u5b58\u6a21\u5f0f\u5f80\u5f80\u662f\u7ef4\u6301\u5de5\u4f5c\u6d41\u53ef\u8fd0\u884c\u7684\u91cd\u8981\u9009\u62e9\u3002\u6b64\u6b21\u4fee\u590d\u9488\u5bf9\u975e\u52a8\u6001\u663e\u5b58\u4f4e\u663e\u5b58\u573a\u666f&#xff0c;\u8fdb\u4e00\u6b65\u63d0\u5347\u4e86\u653e\u5927\u6d41\u7a0b\u5728\u6b64\u7c7b\u914d\u7f6e\u4e0b\u7684\u53ef\u7528\u6027\u3002<\/p>\n<p>\u8fd9\u9879\u66f4\u65b0\u4e0e\u524d\u9762\u63d0\u5230\u7684 H3 \u5cf0\u503c\u663e\u5b58\u4fee\u590d\u3001MiniMax-H3 VAE \u4f18\u5316\u4e00\u8d77&#xff0c;\u4f53\u73b0\u51fa v0.32.0 \u5bf9\u663e\u5b58\u4f7f\u7528\u548c\u8d44\u6e90\u7a33\u5b9a\u6027\u7684\u6301\u7eed\u5173\u6ce8\u3002<\/p>\n<hr \/>\n<p>\u56db\u3001\u63a5\u5165 LTX 2.5&#xff0c;\u5e76\u65b0\u589e\u5bf9\u5e94 Partner Nodes<\/p>\n<p>ComfyUI v0.32.0 \u6b63\u5f0f\u52a0\u5165\u4e86\u5bf9 LTX 2.5 \u7684\u652f\u6301\u3002<\/p>\n<p>\u4e0e\u6b64\u540c\u65f6&#xff0c;Partner Nodes \u4e2d\u4e5f\u65b0\u589e\u4e86\u9002\u7528\u4e8e LTX 2.5 \u6a21\u578b\u7248\u672c \u7684\u8282\u70b9\u3002<\/p>\n<p>\u8fd9\u4e24\u9879\u66f4\u65b0\u76f8\u4e92\u5bf9\u5e94&#xff1a;<\/p>\n<ul>\n<li>\u6838\u5fc3\u5c42\u9762\u589e\u52a0 LTX 2.5 \u652f\u6301\u3002<\/li>\n<li>\u8282\u70b9\u5c42\u9762\u65b0\u589e LTX 2.5 \u5bf9\u5e94\u8282\u70b9\u3002<\/li>\n<\/ul>\n<p>\u5bf9\u4e8e\u4f7f\u7528 LTX \u7cfb\u5217\u6a21\u578b\u7684\u7528\u6237\u6765\u8bf4&#xff0c;v0.32.0 \u5e26\u6765\u4e86\u5bf9 2.5 \u7248\u672c\u7684\u76f4\u63a5\u652f\u6301&#xff0c;\u5e76\u540c\u6b65\u63d0\u4f9b\u4e86\u5bf9\u5e94\u7684\u65b0\u8282\u70b9\u80fd\u529b\u3002\u7528\u6237\u5728\u642d\u5efa\u76f8\u5173\u5de5\u4f5c\u6d41\u65f6&#xff0c;\u53ef\u4ee5\u5173\u6ce8\u6a21\u578b\u7248\u672c\u4e0e\u8282\u70b9\u7248\u672c\u4e4b\u95f4\u7684\u5339\u914d\u5173\u7cfb\u3002<\/p>\n<p>\u4ece\u672c\u6b21\u66f4\u65b0\u8282\u594f\u6765\u770b&#xff0c;ComfyUI \u5bf9\u65b0\u6a21\u578b\u7248\u672c\u7684\u652f\u6301\u4e0d\u4ec5\u5305\u62ec\u5e95\u5c42\u9002\u914d&#xff0c;\u4e5f\u5305\u62ec\u5de5\u4f5c\u6d41\u4e2d\u5b9e\u9645\u53ef\u4f7f\u7528\u8282\u70b9\u7684\u8865\u5145\u3002<\/p>\n<hr \/>\n<p>\u4e94\u3001Partner Nodes \u65b0\u589e Qwen-Image 3.0 Pro<\/p>\n<p>\u672c\u6b21 Partner Nodes \u66f4\u65b0\u4e2d&#xff0c;\u52a0\u5165\u4e86 Qwen-Image 3.0 Pro\u3002<\/p>\n<p>\u66f4\u65b0\u5185\u5bb9\u4e2d\u660e\u786e\u8bf4\u660e&#xff0c;\u65b0\u589e\u4e86 Qwen-Image 3.0 \u7684\u56fe\u50cf\u751f\u6210\u53ca\u76f8\u5173\u80fd\u529b\u652f\u6301&#xff0c;\u8986\u76d6 Qwen-Image 3.0 Pro\u3002<\/p>\n<p>\u5bf9\u4e8e\u9700\u8981\u5728 ComfyUI \u5de5\u4f5c\u6d41\u4e2d\u4f7f\u7528 Qwen \u56fe\u50cf\u6a21\u578b\u7684\u7528\u6237&#xff0c;\u8fd9\u610f\u5473\u7740 v0.32.0 \u63d0\u4f9b\u4e86\u65b0\u7684\u6a21\u578b\u63a5\u5165\u65b9\u5411\u3002Partner Nodes \u7684\u8865\u5145&#xff0c;\u4f7f\u76f8\u5173\u6a21\u578b\u53ef\u4ee5\u901a\u8fc7\u5bf9\u5e94\u8282\u70b9\u878d\u5165\u8282\u70b9\u5f0f\u5de5\u4f5c\u6d41\u3002<\/p>\n<p>\u672c\u6b21\u7248\u672c\u5728\u6a21\u578b\u652f\u6301\u5c42\u9762\u5e76\u975e\u53ea\u805a\u7126\u5355\u4e00\u65b9\u5411&#xff0c;\u800c\u662f\u540c\u65f6\u8986\u76d6 Qwen\u3001LTX \u4e0e Grok \u7b49\u591a\u4e2a\u6a21\u578b\u4f53\u7cfb\u3002<\/p>\n<hr \/>\n<p>\u516d\u3001Partner Nodes \u65b0\u589e Grok Imagine Image 2.0<\/p>\n<p>\u9664 Qwen-Image 3.0 Pro \u4e0e LTX 2.5 \u5916&#xff0c;\u672c\u6b21 Partner Nodes \u8fd8\u65b0\u589e\u4e86 Grok Imagine Image 2.0 \u6a21\u578b\u652f\u6301\u3002<\/p>\n<p>\u8fd9\u9879\u66f4\u65b0\u8fdb\u4e00\u6b65\u6269\u5c55\u4e86 ComfyUI \u53ef\u63a5\u5165\u7684\u6a21\u578b\u8303\u56f4\u3002<\/p>\n<p>\u5bf9\u4e8e\u5173\u6ce8\u56fe\u50cf\u751f\u6210\u6a21\u578b\u63a5\u5165\u80fd\u529b\u7684\u7528\u6237\u800c\u8a00&#xff0c;v0.32.0 \u5728 Partner Nodes \u4e2d\u65b0\u589e\u7684\u6a21\u578b\u652f\u6301\u5305\u62ec&#xff1a;<\/p>\n<ul>\n<li>Qwen-Image 3.0 Pro<\/li>\n<li>LTX 2.5 \u5bf9\u5e94\u65b0\u8282\u70b9<\/li>\n<li>Grok Imagine Image 2.0<\/li>\n<\/ul>\n<p>\u591a\u4e2a\u6a21\u578b\u65b9\u5411\u5728\u540c\u4e00\u7248\u672c\u4e2d\u66f4\u65b0&#xff0c;\u610f\u5473\u7740\u7528\u6237\u53ef\u4ee5\u5728 ComfyUI \u7684\u8282\u70b9\u5de5\u4f5c\u6d41\u4e2d\u83b7\u5f97\u66f4\u591a\u6a21\u578b\u9009\u62e9\u3002<\/p>\n<hr \/>\n<p>\u4e03\u3001\u5de5\u4f5c\u6d41\u6a21\u677f\u66f4\u65b0\u81f3 v0.11.37 \u4e0e v0.11.39<\/p>\n<p>\u672c\u6b21\u53d1\u5e03\u4e2d&#xff0c;\u5de5\u4f5c\u6d41\u6a21\u677f\u8fdb\u884c\u4e86\u4e24\u6b21\u66f4\u65b0\u3002<\/p>\n<p>\u9996\u5148&#xff0c;\u5de5\u4f5c\u6d41\u6a21\u677f\u66f4\u65b0\u81f3 v0.11.37\u3002<\/p>\n<p>\u968f\u540e&#xff0c;\u5de5\u4f5c\u6d41\u6a21\u677f\u53c8\u66f4\u65b0\u81f3 v0.11.39\u3002<\/p>\n<p>\u56e0\u6b64&#xff0c;v0.32.0 \u7684\u53d8\u66f4\u8bb0\u5f55\u4e2d\u5305\u542b\u4e86\u4e24\u8f6e\u6a21\u677f\u66f4\u65b0\u3002\u5bf9\u4e8e\u4f9d\u8d56\u5b98\u65b9\u5de5\u4f5c\u6d41\u6a21\u677f\u8fdb\u884c\u5b66\u4e60\u3001\u642d\u5efa\u3001\u5bfc\u5165\u6216\u53c2\u8003\u7684\u7528\u6237&#xff0c;\u8fd9\u610f\u5473\u7740\u6a21\u677f\u5185\u5bb9\u5df2\u7ecf\u8ddf\u968f\u7248\u672c\u8282\u594f\u5b8c\u6210\u8fed\u4ee3\u3002<\/p>\n<p>\u5de5\u4f5c\u6d41\u6a21\u677f\u5bf9\u4e8e\u65b0\u7528\u6237\u548c\u9700\u8981\u5feb\u901f\u6784\u5efa\u6d41\u7a0b\u7684\u7528\u6237\u5c24\u4e3a\u91cd\u8981\u3002\u6a21\u677f\u66f4\u65b0\u901a\u5e38\u610f\u5473\u7740\u76f8\u5173\u5de5\u4f5c\u6d41\u5185\u5bb9\u5f97\u5230\u4e86\u540c\u6b65\u8c03\u6574\u3002\u6b64\u6b21\u4ece v0.11.37 \u5230 v0.11.39 \u7684\u8fde\u7eed\u66f4\u65b0&#xff0c;\u4e5f\u662f\u672c\u7248\u672c\u8bb0\u5f55\u4e2d\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\u3002<\/p>\n<hr \/>\n<p>\u516b\u3001Create Layered Image \u66f4\u5bb9\u6613\u53d1\u73b0&#xff0c;\u53c2\u6570\u8bf4\u660e\u66f4\u6e05\u6670<\/p>\n<p>\u672c\u6b21\u66f4\u65b0\u8fd8\u5bf9 Create Layered Image \u8fdb\u884c\u4e86\u53ef\u53d1\u73b0\u6027\u548c\u53c2\u6570\u8bf4\u660e\u65b9\u9762\u7684\u6539\u8fdb\u3002<\/p>\n<p>\u5177\u4f53\u5305\u62ec&#xff1a;<\/p>\n<ul>\n<li>\u8ba9 Create Layered Image \u66f4\u5bb9\u6613\u88ab\u53d1\u73b0\u3002<\/li>\n<li>\u8ba9\u5176\u6807\u5fd7\u4f4d\u6216\u9009\u9879\u7684\u542b\u4e49\u66f4\u52a0\u6e05\u6670\u3001\u81ea\u89e3\u91ca\u3002<\/li>\n<\/ul>\n<p>\u5bf9\u4e8e\u8282\u70b9\u5f0f\u5de5\u4f5c\u6d41\u8f6f\u4ef6\u6765\u8bf4&#xff0c;\u8282\u70b9\u662f\u5426\u5bb9\u6613\u88ab\u641c\u7d22\u3001\u5206\u7c7b\u6216\u627e\u5230&#xff0c;\u76f4\u63a5\u5f71\u54cd\u5b9e\u9645\u4f7f\u7528\u4f53\u9a8c\u3002\u800c\u9009\u9879\u3001\u6807\u5fd7\u4f4d\u7684\u547d\u540d\u662f\u5426\u6e05\u6670&#xff0c;\u4e5f\u5f71\u54cd\u7528\u6237\u5bf9\u8282\u70b9\u884c\u4e3a\u7684\u7406\u89e3\u3002<\/p>\n<p>\u8fd9\u6b21\u8c03\u6574\u6ca1\u6709\u6539\u53d8\u4e3a\u590d\u6742\u7684\u65b0\u529f\u80fd\u63cf\u8ff0&#xff0c;\u800c\u662f\u805a\u7126\u4e8e\u8282\u70b9\u53d1\u73b0\u4e0e\u53c2\u6570\u8868\u8fbe\u672c\u8eab\u3002\u5bf9\u4e8e\u9996\u6b21\u63a5\u89e6\u8be5\u8282\u70b9&#xff0c;\u6216\u9700\u8981\u5feb\u901f\u786e\u8ba4\u9009\u9879\u4f5c\u7528\u7684\u7528\u6237&#xff0c;\u8fd9\u7c7b\u4f18\u5316\u6709\u52a9\u4e8e\u964d\u4f4e\u7406\u89e3\u6210\u672c\u3002<\/p>\n<hr \/>\n<p>\u4e5d\u3001\u4f5c\u4e1a\u63a5\u53e3\u52a0\u5165 previewable_outputs_count<\/p>\n<p>\u5728\u540e\u7aef\u63a5\u53e3\u65b9\u9762&#xff0c;v0.32.0 \u4e3a \/api\/jobs \u589e\u52a0\u4e86 previewable_outputs_count \u5b57\u6bb5\u3002<\/p>\n<p>\u66f4\u65b0\u8bf4\u660e\u6307\u51fa&#xff0c;\u8fd9\u4e00\u6539\u52a8\u5c5e\u4e8e Media Assets \u5fbd\u7ae0\u4fee\u590d\u7684\u540e\u7aef\u90e8\u5206\u3002<\/p>\n<p>\u8be5\u5b57\u6bb5\u7684\u52a0\u5165&#xff0c;\u4f7f\u4f5c\u4e1a\u63a5\u53e3\u80fd\u591f\u63d0\u4f9b\u53ef\u9884\u89c8\u8f93\u51fa\u6570\u91cf\u76f8\u5173\u7684\u4fe1\u606f\u3002\u5b83\u4e0e Media Assets \u5fbd\u7ae0\u4fee\u590d\u6709\u5173&#xff0c;\u5c5e\u4e8e\u63a5\u53e3\u6570\u636e\u5c42\u9762\u7684\u8865\u5145\u3002<\/p>\n<p>\u5bf9\u4e8e\u4f7f\u7528 API\u3001\u524d\u7aef\u754c\u9762\u3001\u8d44\u4ea7\u5217\u8868\u6216\u81ea\u52a8\u5316\u96c6\u6210\u7684\u573a\u666f&#xff0c;\u8fd9\u9879\u53d8\u66f4\u503c\u5f97\u5173\u6ce8\u3002\u6b64\u6b21\u66f4\u65b0\u660e\u786e\u662f \/api\/jobs \u7684\u540e\u7aef\u90e8\u5206\u8c03\u6574&#xff0c;\u91cd\u70b9\u5728\u4e8e\u63d0\u4f9b previewable_outputs_count\u3002<\/p>\n<hr \/>\n<p>\u5341\u3001\u8d44\u4ea7\u5217\u8868 API \u65b0\u589e tags_all\u3001tags_any\u3001tags_none \u6807\u7b7e\u8fc7\u6ee4<\/p>\n<p>v0.32.0 \u4e3a\u8d44\u4ea7\u5217\u8868 API \u589e\u52a0\u4e86\u4e09\u79cd\u6807\u7b7e\u8fc7\u6ee4\u80fd\u529b&#xff1a;<\/p>\n<ul>\n<li>tags_all<\/li>\n<li>tags_any<\/li>\n<li>tags_none<\/li>\n<\/ul>\n<p>\u8fd9\u4e09\u9879\u53c2\u6570\u5206\u522b\u5bf9\u5e94\u4e0d\u540c\u7684\u6807\u7b7e\u7b5b\u9009\u9700\u6c42\u3002<\/p>\n<p>tags_all \u7528\u4e8e\u6309\u5168\u90e8\u6307\u5b9a\u6807\u7b7e\u8fdb\u884c\u8fc7\u6ee4\u3002<\/p>\n<p>tags_any \u7528\u4e8e\u6309\u4efb\u610f\u6307\u5b9a\u6807\u7b7e\u8fdb\u884c\u8fc7\u6ee4\u3002<\/p>\n<p>tags_none \u7528\u4e8e\u6392\u9664\u6307\u5b9a\u6807\u7b7e\u8fdb\u884c\u8fc7\u6ee4\u3002<\/p>\n<p>\u8d44\u4ea7\u7ba1\u7406\u662f ComfyUI \u4f7f\u7528\u6d41\u7a0b\u4e2d\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206&#xff0c;\u5c24\u5176\u5728\u5b58\u5728\u5927\u91cf\u6a21\u578b\u3001\u7d20\u6750\u3001\u8f93\u51fa\u6216\u8d44\u6e90\u6570\u636e\u65f6&#xff0c;\u6807\u7b7e\u7b5b\u9009\u80fd\u529b\u80fd\u591f\u8ba9 API \u8c03\u7528\u5177\u5907\u66f4\u7ec6\u7684\u8fc7\u6ee4\u7ef4\u5ea6\u3002<\/p>\n<p>\u672c\u6b21\u66f4\u65b0\u5c06\u6807\u7b7e\u7b5b\u9009\u5206\u4e3a\u5168\u90e8\u5339\u914d\u3001\u4efb\u610f\u5339\u914d\u4e0e\u6392\u9664\u5339\u914d\u4e09\u7c7b&#xff0c;\u5f62\u6210\u4e86\u66f4\u5b8c\u6574\u7684\u6807\u7b7e\u8fc7\u6ee4\u65b9\u5f0f\u3002<\/p>\n<hr \/>\n<p>\u5341\u4e00\u3001ER-SDE \u566a\u58f0\u7f29\u653e\u5668\u6269\u5c55&#xff1a;\u5bf9 h(t) \u8fdb\u884c\u7f29\u653e<\/p>\n<p>\u672c\u6b21\u7248\u672c\u6269\u5c55\u4e86 ER-SDE noise scaler\u3002<\/p>\n<p>\u5177\u4f53\u53d8\u66f4\u662f&#xff1a;\u901a\u8fc7\u5bf9 h(t) \u8fdb\u884c\u7f29\u653e&#xff0c;\u6269\u5c55 ER-SDE \u566a\u58f0\u7f29\u653e\u5668\u7684\u5904\u7406\u65b9\u5f0f\u3002<\/p>\n<p>\u8fd9\u4e00\u9879\u5c5e\u4e8e\u566a\u58f0\u5904\u7406\u4e0e\u91c7\u6837\u76f8\u5173\u65b9\u5411\u7684\u66f4\u65b0\u3002\u66f4\u65b0\u8bb0\u5f55\u4e2d\u660e\u786e\u6307\u51fa&#xff0c;\u6539\u52a8\u662f\u5bf9 h(t) \u7684\u7f29\u653e\u5904\u7406\u3002<\/p>\n<p>\u5bf9\u4e8e\u4f7f\u7528 ER-SDE \u76f8\u5173\u5de5\u4f5c\u6d41\u3001\u91c7\u6837\u7b56\u7565\u6216\u566a\u58f0\u63a7\u5236\u6d41\u7a0b\u7684\u7528\u6237&#xff0c;\u8fd9\u4e00\u53d8\u5316\u662f v0.32.0 \u4e2d\u9700\u8981\u6ce8\u610f\u7684\u529f\u80fd\u8c03\u6574\u4e4b\u4e00\u3002<\/p>\n<hr \/>\n<p>\u5341\u4e8c\u3001cast_bias_weight \u4f7f\u7528\u4e0a\u4e0b\u6587\u7ba1\u7406\u5668\u8fdb\u884c\u5904\u7406<\/p>\n<p>v0.32.0 \u65b0\u589e\u4e86\u4e00\u4e2a\u7528\u4e8e cast_bias_weight \u7684\u4e0a\u4e0b\u6587\u7ba1\u7406\u5668&#xff0c;\u5e76\u5728\u76f8\u5e94\u4f4d\u7f6e\u4f7f\u7528\u8be5\u673a\u5236\u3002<\/p>\n<p>\u66f4\u65b0\u5185\u5bb9\u63cf\u8ff0\u4e3a&#xff1a;\u4e3a cast_bias_weight \u521b\u5efa\u4e0a\u4e0b\u6587\u7ba1\u7406\u5668\u5e76\u4f7f\u7528\u5b83\u3002<\/p>\n<p>\u8fd9\u662f\u4e00\u9879\u5185\u90e8\u5b9e\u73b0\u5c42\u9762\u7684\u6539\u8fdb\u3002\u867d\u7136\u53d1\u5e03\u8bf4\u660e\u672a\u5c55\u5f00\u66f4\u591a\u7ec6\u8282&#xff0c;\u4f46\u53ef\u4ee5\u660e\u786e\u7684\u662f&#xff0c;\u672c\u6b21\u5bf9 cast_bias_weight \u7684\u5904\u7406\u65b9\u5f0f\u8fdb\u884c\u4e86\u7ed3\u6784\u5316\u8c03\u6574&#xff0c;\u5f15\u5165\u5e76\u4f7f\u7528\u4e86\u4e0a\u4e0b\u6587\u7ba1\u7406\u5668\u3002<\/p>\n<p>\u8fd9\u7c7b\u6539\u52a8\u901a\u5e38\u5c5e\u4e8e\u5e95\u5c42\u6267\u884c\u4e0e\u4ee3\u7801\u7ec4\u7ec7\u65b9\u5411\u7684\u66f4\u65b0&#xff0c;\u662f\u672c\u7248\u672c 24 \u4e2a\u63d0\u4ea4\u4e2d\u7684\u7ec4\u6210\u90e8\u5206\u3002<\/p>\n<hr \/>\n<p>\u5341\u4e09\u3001\u5b9e\u73b0 comfy kitchen attention<\/p>\n<p>\u672c\u6b21\u66f4\u65b0\u5b9e\u73b0\u4e86 comfy kitchen attention\u3002<\/p>\n<p>\u8fd9\u662f v0.32.0 \u4e2d\u65b0\u589e\u7684\u4e00\u9879 attention \u76f8\u5173\u5b9e\u73b0\u3002\u53d1\u5e03\u8bf4\u660e\u4e2d\u4f7f\u7528\u7684\u540d\u79f0\u4e3a comfy kitchen attention&#xff0c;\u672a\u63d0\u4f9b\u8fdb\u4e00\u6b65\u5c55\u5f00\u8bf4\u660e\u3002<\/p>\n<p>attention \u673a\u5236\u662f\u6a21\u578b\u63a8\u7406\u6d41\u7a0b\u4e2d\u7684\u5173\u952e\u7ec4\u6210\u90e8\u5206\u3002\u672c\u6b21\u5c06 comfy kitchen attention \u4f5c\u4e3a\u72ec\u7acb\u53d8\u66f4\u5217\u51fa&#xff0c;\u8bf4\u660e\u5176\u5c5e\u4e8e\u672c\u7248\u672c\u7684\u91cd\u8981\u5e95\u5c42\u529f\u80fd\u66f4\u65b0\u4e4b\u4e00\u3002<\/p>\n<hr \/>\n<p>\u5341\u56db\u3001\u4fee\u590d\u5206\u5757\u97f3\u9891\u89e3\u7801\u5f02\u5e38<\/p>\n<p>v0.32.0 \u4fee\u590d\u4e86 tiled audio decode \u635f\u574f\u7684\u95ee\u9898\u3002<\/p>\n<p>\u4e5f\u5c31\u662f\u8bf4&#xff0c;\u5206\u5757\u97f3\u9891\u89e3\u7801\u6b64\u524d\u5b58\u5728\u5f02\u5e38&#xff0c;\u672c\u6b21\u5df2\u5b8c\u6210\u4fee\u590d\u3002<\/p>\n<p>\u5206\u5757\u89e3\u7801\u901a\u5e38\u7528\u4e8e\u5904\u7406\u7279\u5b9a\u89c4\u6a21\u6216\u7279\u5b9a\u8d44\u6e90\u6761\u4ef6\u4e0b\u7684\u97f3\u9891\u6570\u636e\u3002\u8be5\u95ee\u9898\u4fee\u590d\u4e0e\u56fe\u50cf\u4fa7\u7684 VAEDecodeTiled \u5d4c\u5957\u5f20\u91cf\u5d29\u6e83\u4fee\u590d\u5171\u540c\u8868\u660e&#xff0c;\u672c\u7248\u672c\u540c\u65f6\u5173\u6ce8\u56fe\u50cf\u4e0e\u97f3\u9891\u7684\u5206\u5757\u5904\u7406\u6d41\u7a0b\u3002<\/p>\n<p>\u5bf9\u4e8e\u4f7f\u7528\u97f3\u9891\u76f8\u5173\u5de5\u4f5c\u6d41\u7684\u7528\u6237&#xff0c;\u8fd9\u4e00\u9879\u662f\u76f4\u63a5\u5f71\u54cd\u6d41\u7a0b\u7a33\u5b9a\u6027\u7684\u4fee\u590d\u3002<\/p>\n<hr \/>\n<p>\u5341\u4e94\u3001\u4fee\u590d CLIP Vision \u56de\u5f52\u95ee\u9898<\/p>\n<p>\u672c\u6b21\u7248\u672c\u4fee\u590d\u4e86\u4e00\u4e9b CLIP Vision \u56de\u5f52\u95ee\u9898\u3002<\/p>\n<p>\u66f4\u65b0\u8bf4\u660e\u4e2d\u660e\u786e\u4f7f\u7528\u201csome clip vision regression\u201d&#xff0c;\u5373\u9488\u5bf9\u90e8\u5206 CLIP Vision \u56de\u5f52\u60c5\u51b5\u8fdb\u884c\u4fee\u590d\u3002<\/p>\n<p>CLIP Vision \u5728\u89c6\u89c9\u7406\u89e3\u3001\u56fe\u50cf\u6761\u4ef6\u3001\u53c2\u8003\u56fe\u5904\u7406\u53ca\u76f8\u5173\u89c6\u89c9\u5de5\u4f5c\u6d41\u4e2d\u5177\u6709\u91cd\u8981\u4f5c\u7528\u3002\u6b64\u6b21\u4fee\u590d\u610f\u5473\u7740\u67d0\u4e9b\u6b64\u524d\u51fa\u73b0\u56de\u5f52\u7684\u884c\u4e3a\u5df2\u7ecf\u88ab\u5904\u7406\u3002<\/p>\n<p>\u53d1\u5e03\u5185\u5bb9\u6ca1\u6709\u8fdb\u4e00\u6b65\u5217\u51fa\u5177\u4f53\u8868\u73b0&#xff0c;\u56e0\u6b64\u53ef\u4ee5\u786e\u8ba4\u7684\u662f&#xff1a;v0.32.0 \u5df2\u5305\u542b\u5bf9\u90e8\u5206 CLIP Vision \u56de\u5f52\u95ee\u9898\u7684\u4fee\u590d\u3002<\/p>\n<hr \/>\n<p>\u5341\u516d\u3001Mistral \u4e0e Llama Tokenizer \u4e0d\u518d\u4f9d\u8d56 transformers<\/p>\n<p>v0.32.0 \u5bf9 Mistral \u548c Llama \u7684 tokenizer \u4f9d\u8d56\u8fdb\u884c\u4e86\u8c03\u6574\u3002<\/p>\n<p>\u66f4\u65b0\u540e&#xff0c;Mistral \u4e0e Llama tokenizer \u4e0d\u518d\u4f9d\u8d56 transformers\u3002<\/p>\n<p>\u8fd9\u662f\u4e00\u9879\u4f9d\u8d56\u5173\u7cfb\u4e0a\u7684\u53d8\u5316\u3002\u6b64\u524d\u76f8\u5173 tokenizer \u5904\u7406\u4f9d\u8d56 transformers&#xff0c;\u800c\u672c\u6b21\u5c06\u8fd9\u4e00\u4f9d\u8d56\u79fb\u9664\u3002<\/p>\n<p>\u5bf9\u4e8e\u6d89\u53ca Mistral \u6216 Llama \u6587\u672c\u5904\u7406\u6d41\u7a0b\u7684\u7528\u6237&#xff0c;\u8fd9\u9879\u8c03\u6574\u503c\u5f97\u7559\u610f\u3002\u5b83\u5f71\u54cd\u7684\u662f tokenizer \u7684\u4f9d\u8d56\u65b9\u5f0f&#xff0c;\u800c\u66f4\u65b0\u8bf4\u660e\u6ca1\u6709\u8fdb\u4e00\u6b65\u63cf\u8ff0\u8c03\u7528\u5c42\u9762\u7684\u53d8\u5316\u3002<\/p>\n<hr \/>\n<p>\u5341\u4e03\u3001\u79fb\u9664\u53ef\u80fd\u5b58\u5728\u95ee\u9898\u7684 process_tokens \u65b9\u6cd5<\/p>\n<p>\u672c\u6b21\u66f4\u65b0\u79fb\u9664\u4e86\u4e00\u4e2a\u88ab\u8ba4\u4e3a\u53ef\u80fd\u5b58\u5728\u95ee\u9898\u7684 process_tokens \u65b9\u6cd5\u3002<\/p>\n<p>\u66f4\u65b0\u8bb0\u5f55\u660e\u786e\u6307\u51fa&#xff0c;\u8be5\u65b9\u6cd5\u5177\u6709\u6f5c\u5728\u95ee\u9898&#xff0c;\u56e0\u6b64\u88ab\u79fb\u9664\u3002<\/p>\n<p>\u8fd9\u9879\u6539\u52a8\u5c5e\u4e8e\u7a33\u5b9a\u6027\u548c\u5b9e\u73b0\u5c42\u9762\u7684\u6e05\u7406\u3002\u5bf9\u4e8e\u4f9d\u8d56\u76f8\u5173\u5185\u90e8\u65b9\u6cd5\u6216\u8fdb\u884c\u4e8c\u6b21\u5f00\u53d1\u7684\u7528\u6237&#xff0c;\u9700\u8981\u6ce8\u610f process_tokens \u5df2\u4e0d\u518d\u4fdd\u7559\u3002<\/p>\n<hr \/>\n<p>\u5341\u516b\u3001\u672c\u6b21\u7248\u672c\u66f4\u65b0\u91cd\u70b9\u6c47\u603b<\/p>\n<p>ComfyUI v0.32.0 \u7684\u66f4\u65b0\u5185\u5bb9\u53ef\u4ee5\u5f52\u7eb3\u4e3a\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u5411\u3002<\/p>\n<p>\u8fd0\u884c\u73af\u5883\u4e0e\u4f9d\u8d56\u5c42\u9762<\/p>\n<ul>\n<li>\u5b98\u65b9\u6700\u4f4e\u652f\u6301\u7684 PyTorch \u7248\u672c\u63d0\u5347\u81f3 2.7\u3002<\/li>\n<li>cu130 \u8b66\u544a\u66f4\u52a0\u663e\u773c\u3002<\/li>\n<li>Mistral \u4e0e Llama tokenizer \u4e0d\u518d\u4f9d\u8d56 transformers\u3002<\/li>\n<li>\u79fb\u9664\u53ef\u80fd\u6709\u95ee\u9898\u7684 process_tokens \u65b9\u6cd5\u3002<\/li>\n<\/ul>\n<p>\u6a21\u578b\u4e0e\u8282\u70b9\u652f\u6301\u5c42\u9762<\/p>\n<ul>\n<li>\u65b0\u589e LTX 2.5 \u652f\u6301\u3002<\/li>\n<li>\u65b0\u589e LTX 2.5 \u5bf9\u5e94 Partner Nodes\u3002<\/li>\n<li>\u65b0\u589e Qwen-Image 3.0 Pro\u3002<\/li>\n<li>\u65b0\u589e Grok Imagine Image 2.0\u3002<\/li>\n<li>\u5b9e\u73b0 comfy kitchen attention\u3002<\/li>\n<li>\u6269\u5c55 ER-SDE noise scaler&#xff0c;\u5bf9 h(t) \u8fdb\u884c\u7f29\u653e\u3002<\/li>\n<\/ul>\n<p>\u663e\u5b58\u3001\u6027\u80fd\u4e0e\u7a33\u5b9a\u6027\u5c42\u9762<\/p>\n<ul>\n<li>\u4f18\u5316 MiniMax-H3 VAE\u3002<\/li>\n<li>\u4fee\u590d H3 \u5cf0\u503c\u663e\u5b58\u95ee\u9898\u3002<\/li>\n<li>\u4fee\u590d\u4f4e\u663e\u5b58\u3001\u975e\u52a8\u6001\u663e\u5b58\u6761\u4ef6\u4e0b\u653e\u5927\u6a21\u578b\u5931\u6548\u7684\u95ee\u9898\u3002<\/li>\n<li>\u4fee\u590d VAEDecodeTiled \u5728\u5d4c\u5957\u5f20\u91cf latent \u4e0b\u5d29\u6e83\u7684\u95ee\u9898\u3002<\/li>\n<li>\u6539\u5584\u5d4c\u5957\u5f20\u91cf\u8c03\u8bd5\u4f53\u9a8c\u3002<\/li>\n<li>\u4fee\u590d\u5206\u5757\u97f3\u9891\u89e3\u7801\u95ee\u9898\u3002<\/li>\n<li>\u4fee\u590d\u90e8\u5206 CLIP Vision \u56de\u5f52\u95ee\u9898\u3002<\/li>\n<li>\u4e3a cast_bias_weight \u521b\u5efa\u5e76\u4f7f\u7528\u4e0a\u4e0b\u6587\u7ba1\u7406\u5668\u3002<\/li>\n<\/ul>\n<p>\u5de5\u4f5c\u6d41\u3001\u8282\u70b9\u4e0e\u63a5\u53e3\u5c42\u9762<\/p>\n<ul>\n<li>\u5de5\u4f5c\u6d41\u6a21\u677f\u66f4\u65b0\u81f3 v0.11.37\u3002<\/li>\n<li>\u5de5\u4f5c\u6d41\u6a21\u677f\u66f4\u65b0\u81f3 v0.11.39\u3002<\/li>\n<li>Create Layered Image \u66f4\u5bb9\u6613\u88ab\u53d1\u73b0\u3002<\/li>\n<li>Create Layered Image \u7684\u6807\u5fd7\u4f4d\u4e0e\u9009\u9879\u8bf4\u660e\u66f4\u52a0\u6e05\u6670\u3002<\/li>\n<li>\/api\/jobs \u65b0\u589e previewable_outputs_count\u3002<\/li>\n<li>\u8d44\u4ea7\u5217\u8868 API \u65b0\u589e tags_all\u3001tags_any\u3001tags_none \u6807\u7b7e\u8fc7\u6ee4\u3002<\/li>\n<\/ul>\n<hr \/>\n<p>\u5341\u4e5d\u3001\u5b8c\u6574\u66f4\u65b0\u6e05\u5355<\/p>\n<p>\u4e3a\u65b9\u4fbf\u5feb\u901f\u6838\u5bf9&#xff0c;\u4ee5\u4e0b\u5217\u51fa v0.32.0 \u7684\u5168\u90e8\u53d8\u66f4\u5185\u5bb9&#xff1a;<\/p>\n<ul>\n<li>\u6539\u5584\u5d4c\u5957\u5f20\u91cf\u7684\u8c03\u8bd5\u4f53\u9a8c\u3002<\/li>\n<li>\u5de5\u4f5c\u6d41\u6a21\u677f\u66f4\u65b0\u81f3 v0.11.37\u3002<\/li>\n<li>\u5b98\u65b9\u6700\u4f4e\u652f\u6301\u7684 PyTorch \u7248\u672c\u66f4\u65b0\u4e3a 2.7\u3002<\/li>\n<li>\u8ba9 Create Layered Image \u66f4\u5bb9\u6613\u88ab\u53d1\u73b0&#xff0c;\u5e76\u4f7f\u5176\u6807\u5fd7\u4f4d\u66f4\u6613\u7406\u89e3\u3002<\/li>\n<li>\u4fee\u590d\u975e\u52a8\u6001\u663e\u5b58\u4f4e\u663e\u5b58\u6a21\u5f0f\u4e0b\u653e\u5927\u6a21\u578b\u5931\u6548\u7684\u95ee\u9898\u3002<\/li>\n<li>\/api\/jobs \u65b0\u589e previewable_outputs_count&#xff0c;\u4f5c\u4e3a Media Assets \u5fbd\u7ae0\u4fee\u590d\u7684\u540e\u7aef\u90e8\u5206\u3002<\/li>\n<li>\u901a\u8fc7\u7f29\u653e h(t) \u6269\u5c55 ER-SDE noise scaler\u3002<\/li>\n<li>\u4e3a cast_bias_weight \u521b\u5efa\u4e0a\u4e0b\u6587\u7ba1\u7406\u5668\u5e76\u4f7f\u7528\u3002<\/li>\n<li>\u4f18\u5316 MiniMax-H3 VAE\u3002<\/li>\n<li>Partner Nodes \u65b0\u589e Qwen-Image 3.0 Pro\u3002<\/li>\n<li>\u8d44\u4ea7\u5217\u8868 API \u65b0\u589e tags_all\u3001tags_any\u3001tags_none \u6807\u7b7e\u8fc7\u6ee4\u3002<\/li>\n<li>\u4fee\u590d VAEDecodeTiled \u5728\u5d4c\u5957\u5f20\u91cf latent \u6761\u4ef6\u4e0b\u5d29\u6e83\u7684\u95ee\u9898\u3002<\/li>\n<li>\u8ba9 cu130 \u8b66\u544a\u66f4\u52a0\u663e\u773c\u3002<\/li>\n<li>\u5b9e\u73b0 comfy kitchen attention\u3002<\/li>\n<li>\u4fee\u590d H3 \u5cf0\u503c\u663e\u5b58\u95ee\u9898\u3002<\/li>\n<li>\u65b0\u589e LTX 2.5 \u652f\u6301\u3002<\/li>\n<li>Partner Nodes \u65b0\u589e LTX 2.5 \u6a21\u578b\u7248\u672c\u8282\u70b9\u3002<\/li>\n<li>\u4fee\u590d\u5206\u5757\u97f3\u9891\u89e3\u7801\u635f\u574f\u7684\u95ee\u9898\u3002<\/li>\n<li>\u5de5\u4f5c\u6d41\u6a21\u677f\u66f4\u65b0\u81f3 v0.11.39\u3002<\/li>\n<li>Partner Nodes \u65b0\u589e Grok Imagine Image 2.0 \u6a21\u578b\u3002<\/li>\n<li>\u4fee\u590d\u90e8\u5206 CLIP Vision 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