{"id":67923,"date":"2026-01-29T11:33:25","date_gmt":"2026-01-29T03:33:25","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/67923.html"},"modified":"2026-01-29T11:33:25","modified_gmt":"2026-01-29T03:33:25","slug":"comfyui-v0-11-0%e5%8f%91%e5%b8%83%ef%bc%81%e6%94%af%e6%8c%81zimage-omni%e3%80%81anima%e3%80%81ltx2-tiny-vae%e3%80%81qwen-3%e7%ad%89%e5%a4%9a%e6%a8%a1%e5%9e%8b%ef%bc%8c%e6%80%a7%e8%83%bd%e5%85%a8","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/67923.html","title":{"rendered":"ComfyUI v0.11.0\u53d1\u5e03\uff01\u652f\u6301Zimage Omni\u3001Anima\u3001LTX2 Tiny VAE\u3001Qwen 3\u7b49\u591a\u6a21\u578b\uff0c\u6027\u80fd\u5168\u9762\u5347\u7ea7\uff01"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260129033322-697ad5025aee2.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\/01\/20260129033323-697ad5034e80e.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\/01\/20260129033323-697ad5039d161.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>2026\u5e741\u670827\u65e5&#xff0c;ComfyUI\u6b63\u5f0f\u63a8\u51fa v0.11.0 \u6700\u65b0\u7248\u672c\u3002\u672c\u6b21\u66f4\u65b0\u662f\u4e00\u6b21\u6781\u5177\u91cd\u91cf\u7ea7\u7684\u7248\u672c\u8fed\u4ee3&#xff0c;\u6d89\u53ca\u6a21\u578b\u652f\u6301\u3001\u8282\u70b9\u4f53\u7cfb\u6269\u5c55\u3001\u6027\u80fd\u4e0e\u663e\u5b58\u4f18\u5316\u3001\u591a\u683c\u5f0f\u517c\u5bb9\u3001\u5de5\u4f5c\u6d41\u5347\u7ea7\u7b49\u591a\u65b9\u9762\u6539\u8fdb&#xff0c;\u5171\u5305\u542b 46\u6b21\u63d0\u4ea4\u3001103\u5904\u6587\u4ef6\u66f4\u65b0&#xff0c;17\u4f4d\u8d21\u732e\u8005\u53c2\u4e0e\u5b8c\u6210\u3002\u4ee5\u4e0b\u4e3a\u8be6\u7ec6\u66f4\u65b0\u5185\u5bb9\u6c47\u603b\u4e0e\u6280\u672f\u4eae\u70b9\u89e3\u6790\u3002<\/p>\n<hr \/>\n<h4>&#x1f9e9; \u6a21\u578b\u652f\u6301\u4e0e\u529f\u80fd\u589e\u5f3a<\/h4>\n<ul>\n<li>\u65b0\u589e\u652f\u6301 zimage omni \u57fa\u7840\u6a21\u578b&#xff0c;\u5e76\u5b9e\u73b0 omni \u529f\u80fd\u5728\u5e38\u89c4 z image \u6a21\u578b\u4e0a\u7684\u517c\u5bb9&#xff0c;\u6d4b\u8bd5\u66f4\u65b9\u4fbf\u3002<\/li>\n<li>\u652f\u6301 Anima \u6a21\u578b&#xff0c;\u8fdb\u4e00\u6b65\u6269\u5c55 ComfyUI \u7684\u751f\u6210\u6a21\u578b\u751f\u6001\u3002<\/li>\n<li>\u65b0\u589e Qwen 3 0.6B \u6a21\u578b\u914d\u7f6e&#xff0c;\u5e76\u4f18\u5316\u6ce8\u610f\u529b\u63a9\u7801\u5728\u56fe\u50cf\u751f\u6210\u4e2d\u7684\u4f20\u9012\u3002<\/li>\n<li>\u652f\u6301 LTX2 Tiny VAE&#xff08;taeltx_2&#xff09;&#xff0c;\u663e\u8457\u964d\u4f4e\u663e\u5b58\u6d88\u8017\u3002<\/li>\n<li>LTX2 \u6a21\u578b\u4f18\u5316&#xff1a;\u51cf\u5c11\u52a0\u8f7d\u8b66\u544a\u3001\u4f18\u5316 embeddings_connector \u52a0\u8f7d\u903b\u8f91\u3001\u91cd\u6784 forward \u51fd\u6570\u4ee5\u63d0\u5347\u663e\u5b58\u6548\u7387\u5e76\u4fee\u590d\u7a7a\u95f4\u8865\u7ed8\u95ee\u9898\u3002<\/li>\n<li>\u652f\u6301 Multi \/ InfiniteTalk \u6a21\u578b\u4f53\u7cfb&#xff0c;\u5b9e\u73b0\u591a\u89d2\u8272\/\u65e0\u9650\u5bf9\u8bdd\u6a21\u578b\u517c\u5bb9\u3002<\/li>\n<li>\u652f\u6301\u52a0\u8f7d Flux 2 Klein \u68c0\u67e5\u70b9&#xff08;SaveCheckpoint \u4fdd\u5b58\u65b9\u5f0f&#xff09;&#xff0c;\u5f3a\u5316 Flux \u7cfb\u5217\u7684\u6a21\u578b\u7ba1\u7406\u4e0e\u6301\u7eed\u8bad\u7ec3\u80fd\u529b\u3002<\/li>\n<li>\u65b0\u589e LyCORIS LoKr MLP \u5c42\u652f\u6301&#xff0c;\u5f3a\u5316 Flux2 \u6a21\u578b\u6027\u80fd\u3002<\/li>\n<li>\u65b0\u589e\u5bf9 ModelScope-Trainer\/DiffSynth LoRA \u683c\u5f0f\u7684\u652f\u6301&#xff0c;\u7528\u4e8e Flux.2 Klein \u6a21\u578b\u3002<\/li>\n<\/ul>\n<hr \/>\n<h4>\u2699\ufe0f \u8282\u70b9\u7cfb\u7edf\u4e0eAPI\u6269\u5c55<\/h4>\n<ul>\n<li>\u65b0\u589e WaveSpeed \u8282\u70b9&#xff0c;\u62d3\u5c55\u97f3\u9891\u751f\u6210\u63a7\u5236\u3002<\/li>\n<li>\u65b0\u589e Magnific \u8282\u70b9&#xff0c;\u8fdb\u4e00\u6b65\u63d0\u5347\u56fe\u50cf\u5904\u7406\u4e0e\u751f\u6210\u80fd\u529b\u3002<\/li>\n<li>\u65b0\u589e TencentHunyuan3D \u8282\u70b9&#xff0c;\u5f15\u5165\u4e09\u7ef4\u751f\u6210\u652f\u6301\u3002<\/li>\n<li>\u65b0\u589e\u652f\u6301 ply \u4e0e 3dgs \u683c\u5f0f\u5728 3D \u8282\u70b9\u4e2d\u52a0\u8f7d\u3002<\/li>\n<li>\u65b0\u589e kwargs \u8f93\u5165\u673a\u5236&#xff0c;\u5141\u8bb8\u524d\u7aef\u4f20\u5165\u4efb\u610f\u53c2\u6570&#xff0c;\u66f4\u7075\u6d3b\u7684\u81ea\u5b9a\u4e49\u652f\u6301\u3002<\/li>\n<li>API\u8282\u70b9\u652f\u6301\u4f20\u5165\u6700\u591a 7 \u4e2a\u4e3b\u4f53&#xff08;Vidu Reference \u8282\u70b9\u589e\u5f3a&#xff09;\u3002<\/li>\n<li>\u79fb\u9664 ByteDanceImageEdit \u8282\u70b9&#xff08;seededit&#xff09;&#xff0c;\u7cbe\u7b80\u5197\u4f59\u6a21\u5757\u3002<\/li>\n<li>\u7edf\u4e00\u8282\u70b9\u547d\u540d&#xff1a;BriaImage \u4e0e OpenAIGImage \u8282\u70b9\u91cd\u547d\u540d&#xff0c;\u89c4\u8303\u5316\u7ba1\u7406\u3002<\/li>\n<li>\u65b0\u589e search_aliases \u5b57\u6bb5\u81f3\u8282\u70b9 schema&#xff0c;\u5e76\u4e3a\u6240\u6709\u8282\u70b9\u6dfb\u52a0\u641c\u7d22\u522b\u540d&#xff0c;\u6539\u5584\u68c0\u7d22\u4e0e\u7528\u6237\u4f53\u9a8c\u3002<\/li>\n<li>ResizeImageMaskNode \u4f18\u5316\u7528\u6237\u4f53\u9a8c&#xff1a;\u65b0\u589e\u63d0\u793a\u5de5\u5177\u4e0e\u641c\u7d22\u522b\u540d\u652f\u6301\u3002<\/li>\n<\/ul>\n<hr \/>\n<h4>&#x1f4be; \u6027\u80fd\u4e0e\u663e\u5b58\u4f18\u5316<\/h4>\n<ul>\n<li>LTX2 \u7cfb\u5217\u5168\u9762\u964d\u4f4e\u663e\u5b58\u5360\u7528\u3002<\/li>\n<li>QWEN VAE \u4e0e WAN \u6a21\u578b\u663e\u5b58\u5360\u7528\u4e0e\u8fd0\u884c\u901f\u5ea6\u4f18\u5316\u3002<\/li>\n<li>\u7a7a latent \u8282\u70b9\u5728 Flux 2 \u4ee5\u53ca\u5176\u4ed6\u6a21\u578b\u4e2d\u6b63\u786e\u8fd0\u884c&#xff0c;\u517c\u5bb9\u6027\u63d0\u5347\u3002<\/li>\n<li>EasyCache \u4fee\u590d&#xff1a;\u5f53\u91c7\u6837\u671f\u95f4\u6761\u4ef6\u53d8\u5316\u65f6\u53ef\u6b63\u786e\u5904\u7406\u8fb9\u7f18\u60c5\u51b5\u3002<\/li>\n<li>Noise_EmptyNoise \u4fee\u590d&#xff1a;\u89e3\u51b3\u5d4c\u5957 latent \u4f7f\u7528\u5f02\u5e38\u3002<\/li>\n<li>WAN-VAE \u4f18\u5316&#xff1a;\u5355\u5e27\u60c5\u51b5\u4e0b\u5173\u95ed\u7279\u5f81\u7f13\u5b58&#xff0c;\u51cf\u5c11\u591a\u4f59\u5f00\u9500\u3002<\/li>\n<li>\u4ec5\u5728\u652f\u6301 fp16 \u7684 z image \u6a21\u578b\u4e0a\u542f\u7528 fp16&#xff0c;\u63d0\u9ad8\u7a33\u5b9a\u6027\u3002<\/li>\n<li>Weight Adapter \u7cfb\u7edf\u4f18\u5316&#xff1a;\u5728\u6743\u91cd\u9002\u914d\u8bad\u7ec3\u65f6\u8df3\u8fc7 forward \u6a21\u5f0f\u4ee5\u63d0\u5347\u6027\u80fd\u3002<\/li>\n<\/ul>\n<hr \/>\n<h4>&#x1f9e0; \u6587\u672c\u4e0eTokenizer\u66f4\u65b0<\/h4>\n<ul>\n<li>\u4fee\u590d mistral 3 tokenizer \u4ee3\u7801\u5728\u6700\u65b0 transformers \u7248\u672c\u4e0a\u7684\u5d29\u6e83\u4e0e\u517c\u5bb9\u95ee\u9898\u3002<\/li>\n<li>\u65b0\u589e RoPE \u4f4d\u7f6e\u8c03\u6574\u673a\u5236&#xff0c;\u652f\u6301 Small Grid IC-LoRA\u3002<\/li>\n<\/ul>\n<hr \/>\n<h4>&#x1f9f1; \u5176\u4ed6\u6539\u8fdb\u4e0e\u914d\u7f6e<\/h4>\n<ul>\n<li>LoraLoaderModelOnly \u589e\u52a0\u540d\u79f0\u5b57\u6bb5&#xff0c;\u63d0\u5347\u8bc6\u522b\u4e0e\u7ba1\u7406\u7edf\u4e00\u6027\u3002<\/li>\n<li>\u65b0\u589e AMD Portable \u5bf9 ROCm 7.2 \u7684\u652f\u6301&#xff0c;\u4f18\u5316 AMD \u7528\u6237\u4f53\u9a8c\u3002<\/li>\n<li>\u5de5\u4f5c\u6d41\u6a21\u677f\u591a\u6b21\u66f4\u65b0&#xff1a;\u7248\u672c\u4f9d\u6b21\u63d0\u5347\u81f3 v0.8.15\u3001v0.8.23\u3001v0.8.24&#xff0c;\u4fdd\u8bc1\u7cfb\u7edf\u4e0e\u524d\u7aef\u5305\u7684\u6700\u65b0\u534f\u540c\u3002<\/li>\n<li>comfyui-frontend-package \u66f4\u65b0\u81f3 1.37.11&#xff0c;\u4fdd\u969c\u524d\u7aef\u6700\u65b0\u7279\u6027\u517c\u5bb9\u3002<\/li>\n<li>\u5c06\u4e4b\u524d\u63d0\u4ea4\u7684\u8282\u70b9\u72ec\u7acb\u5206\u6587\u4ef6\u5b58\u653e&#xff0c;\u4f18\u5316\u9879\u76ee\u7ed3\u6784\u4e0e\u540e\u7eed\u7ef4\u62a4\u3002<\/li>\n<\/ul>\n<hr \/>\n<h4>&#x1f50d; \u6280\u672f\u6982\u8981\u4e0e\u7248\u672c\u5f71\u54cd<\/h4>\n<p>ComfyUI v0.11.0 \u4e0d\u4ec5\u5728\u6a21\u578b\u517c\u5bb9\u6027\u4e0e\u8282\u70b9\u6269\u5c55\u4e0a\u5b9e\u73b0\u4e86\u8dc3\u5347&#xff0c;\u8fd8\u9488\u5bf9\u663e\u5b58\u5360\u7528\u3001\u8bad\u7ec3\u7f13\u5b58\u3001\u56fe\u50cf\u4e0e\u97f3\u9891\u751f\u6210\u6d41\u7a0b\u8fdb\u884c\u4e86\u7cfb\u7edf\u7ea7\u4f18\u5316\u3002\u901a\u8fc7\u591a\u9879\u5e95\u5c42\u7ed3\u6784\u8c03\u6574\u4e0e\u65b0\u529f\u80fd\u8865\u5145&#xff0c;\u672c\u7248\u672c\u8ba9 ComfyUI \u5728\u5927\u578b\u6a21\u578b\u3001\u590d\u5408\u751f\u6210\u4ee5\u53ca\u591a\u683c\u5f0f\u4efb\u52a1\u573a\u666f\u4e2d\u7684\u6027\u80fd\u4e0e\u7075\u6d3b\u6027\u5747\u663e\u8457\u63d0\u5347\u3002<\/p>\n<p>\u4ece Flux \u4f53\u7cfb\u5230 Qwen\u3001Anima\u3001LTX2\u3001Hunyuan3D&#xff0c;\u65e0\u8bba\u662f\u89c6\u89c9\u3001\u8bed\u8a00\u8fd8\u662f\u97f3\u9891\u6a21\u578b&#xff0c;ComfyUI v0.11.0 \u5747\u63d0\u4f9b\u4e86\u66f4\u7a33\u5b9a\u9ad8\u6548\u7684\u652f\u6301&#xff0c;\u6210\u4e3a\u5f53\u524d AI \u591a\u6a21\u6001\u5de5\u4f5c\u6d41\u4e2d\u4e0d\u53ef\u5ffd\u89c6\u7684\u6838\u5fc3\u7ec4\u4ef6\u3002<\/p>\n<hr \/>\n<p>\u7248\u672c\u4fe1\u606f\u603b\u7ed3&#xff1a;<\/p>\n<ul>\n<li>&#x1f4c5;\u53d1\u5e03\u65e5\u671f&#xff1a;2026\u5e741\u670827\u65e5<\/li>\n<li>&#x1f522;\u7248\u672c\u53f7&#xff1a;v0.11.0<\/li>\n<li>&#x1f9e0;\u8d21\u732e\u8005&#xff1a;17\u4f4d<\/li>\n<li>&#x1f9fe;\u63d0\u4ea4\u6570\u91cf&#xff1a;46\u6b21<\/li>\n<li>&#x1f4c2;\u6587\u4ef6\u53d8\u66f4&#xff1a;103\u9879<\/li>\n<\/ul>\n<hr \/>\n<p>\u7ed3\u8bed&#xff1a;<br \/>\nComfyUI v0.11.0 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