{"id":2913,"date":"2025-12-08T02:26:29","date_gmt":"2025-12-07T18:26:29","guid":{"rendered":"https:\/\/www.tiptinker.com\/is-flux-too-slow-for-you-meet-z-image-turbo\/"},"modified":"2025-12-08T17:10:25","modified_gmt":"2025-12-08T09:10:25","slug":"is-flux-too-slow-for-you-meet-z-image-turbo","status":"publish","type":"post","link":"https:\/\/www.tiptinker.com\/zh-hans\/is-flux-too-slow-for-you-meet-z-image-turbo\/","title":{"rendered":"ComfyUI \u65b0\u5ba0\uff1fZ-Image-Turbo\uff1a8\u6b65\u6781\u901f\u751f\u6210\u3001\u4e2d\u82f1\u53cc\u8bed\u5b8c\u7f8e\u652f\u6301\u7684\u56fd\u4ea7\u4e4b\u5149"},"content":{"rendered":"<p>\u5728 AI \u7ed8\u753b\u754c\uff0c\u6211\u4eec\u4e60\u60ef\u4e86\u4e3a\u4e86\u8ffd\u6c42\u9ad8\u8d28\u91cf\u753b\u8d28\u800c\u5fcd\u53d7\u6f2b\u957f\u7684\u6e32\u67d3\u65f6\u95f4\uff08\u770b\u7740 Flux \u7684\u8fdb\u5ea6\u6761\u4e00\u70b9\u70b9\u632a\u52a8\uff09\u3002\u4f46\u5982\u679c\u6211\u544a\u8bc9\u4f60\uff0c\u6709\u4e00\u4e2a\u6a21\u578b\u65e2\u80fd\u8fbe\u5230\u7167\u7247\u7ea7\u7684\u903c\u771f\u5ea6\uff0c\u53c8\u80fd\u7cbe\u51c6\u6e32\u67d3<strong>\u4e2d\u6587\u6c49\u5b57<\/strong>\uff0c\u800c\u4e14\u53ea\u9700\u8981 <strong>8 \u6b65<\/strong>\uff08\u751a\u81f3\u4e0d\u5230 1 \u79d2\uff09\u5c31\u80fd\u51fa\u56fe\uff0c\u4f60\u4f1a\u5fc3\u52a8\u5417\uff1f<\/p>\n<p>\u8fd9\u5c31\u662f <a href=\"https:\/\/huggingface.co\/Tongyi-MAI\/Z-Image-Turbo\"><strong>Z-Image-Turbo<\/strong><\/a>\u3002<\/p>\n<p>\u7531 <strong>Tongyi-MAI<\/strong>\uff08\u901a\u4e49-\u8682\u8681\u8054\u5408\u56e2\u961f\uff09\u5f00\u6e90\uff0c\u8fd9\u4e2a 60 \u4ebf\u53c2\u6570\uff086B\uff09\u7684\u6a21\u578b\u91c7\u7528\u4e86\u5148\u8fdb\u7684\u84b8\u998f\u6280\u672f\uff0c\u4e0d\u4ec5\u5728\u901f\u5ea6\u4e0a\u540a\u6253\u4f20\u7edf\u6a21\u578b\uff0c\u66f4\u89e3\u51b3\u4e86\u957f\u671f\u4ee5\u6765\u56f0\u6270\u793e\u533a\u7684\u75db\u70b9\u2014\u2014<strong>\u5982\u4f55\u5728\u56fe\u91cc\u5199\u5bf9\u4e2d\u56fd\u5b57<\/strong>\u3002<\/p>\n<p>\u4eca\u5929\uff0cTipTinker \u5c06\u5e26\u4f60\u6df1\u5165\u4e86\u89e3 Z-Image-Turbo\uff0c\u5e76\u624b\u628a\u624b\u6559\u4f60\u5728 ComfyUI \u4e2d\u90e8\u7f72\u8fd9\u4e2a\u201c\u901f\u5ea6\u4e0e\u8d28\u91cf\u5e76\u5b58\u201d\u7684\u602a\u517d\u3002<\/p>\n<hr \/>\n<h2>\ud83d\udca1 \u4e3a\u4ec0\u4e48 Z-Image-Turbo \u8fd9\u4e48\u5f3a\uff1f<\/h2>\n<h3>8\u6b65\u6781\u901f\u63a8\u7406 (8-Step Inference)<\/h3>\n<p>\u4f20\u7edf\u7684 Diffusion \u6a21\u578b\u5f80\u5f80\u9700\u8981 20-50 \u6b65\u624d\u80fd\u751f\u6210\u6e05\u6670\u56fe\u50cf\u3002Z-Image-Turbo \u4f7f\u7528\u4e86 <strong>Decoupled-DMD<\/strong>\uff08\u89e3\u8026\u5206\u5e03\u5339\u914d\u84b8\u998f\uff09\u6280\u672f\uff0c\u5c06\u63a8\u7406\u6b65\u6570\u538b\u7f29\u5230\u4e86\u60ca\u4eba\u7684 <strong>8 \u6b65<\/strong>\u3002<\/p>\n<ul>\n<li><strong>\u8fd9\u610f\u5473\u7740\u4ec0\u4e48\uff1f<\/strong> \u5728\u4f01\u4e1a\u7ea7 H800 \u663e\u5361\u4e0a\uff0c\u5b83\u80fd\u5b9e\u73b0<strong>\u4e9a\u79d2\u7ea7<\/strong>\u51fa\u56fe\u3002\u5728\u6d88\u8d39\u7ea7\u663e\u5361\uff08\u5982 RTX 3090\/4090\uff09\u4e0a\uff0c\u4e5f\u662f\u201c\u7728\u773c\u5373\u73b0\u201d\u3002<\/li>\n<\/ul>\n<h3>\u539f\u751f\u4e2d\u6587\u7406\u89e3 (Native Bilingual Support)<\/h3>\n<p>\u5927\u591a\u6570\u5f00\u6e90\u6a21\u578b\uff08\u5982 SDXL, Flux\uff09\u7684\u6587\u672c\u7f16\u7801\u5668\u5bf9\u4e2d\u6587\u7406\u89e3\u5f88\u5dee\u3002Z-Image-Turbo \u642d\u8f7d\u4e86\u5f3a\u5927\u7684 <strong>Qwen 3.4B<\/strong> \u4f5c\u4e3a\u6587\u672c\u7f16\u7801\u5668\u3002<\/p>\n<ul>\n<li><strong>\u4f18\u52bf<\/strong>\uff1a\u4f60\u53ef\u4ee5\u76f4\u63a5\u7528\u4e2d\u6587\u5199 Prompt\uff0c\u6216\u8005\u8981\u6c42\u5b83\u5728\u753b\u9762\u4e2d\u7ed8\u5236\u51c6\u786e\u7684\u6c49\u5b57\uff08\u5982\u201c\u897f\u5b89\u5927\u96c1\u5854\u201d\u533e\u989d\u3001\u9713\u8679\u706f\u6c49\u5b57\u7b49\uff09\uff0c\u5b83\u90fd\u80fd\u7cbe\u51c6\u8fd8\u539f\uff0c\u4e0d\u518d\u662f\u201c\u9b3c\u753b\u7b26\u201d\u3002<\/li>\n<\/ul>\n<h3>\u4f4e\u663e\u5b58\u95e8\u69db<\/h3>\n<p>\u867d\u7136\u62e5\u6709 6B \u53c2\u6570\uff0c\u4f46\u7ecf\u8fc7\u4f18\u5316\uff0c\u5b83\u53ef\u4ee5\u5728 <strong>16GB VRAM<\/strong> \u7684\u663e\u5361\u4e0a\u6d41\u7545\u8fd0\u884c\u3002\u5bf9\u4e8e ComfyUI \u7528\u6237\u6765\u8bf4\uff0c\u8fd9\u610f\u5473\u7740\u4e0d\u9700\u8981 H100 \u4e5f\u80fd\u73a9\u8f6c\u9876\u7ea7\u6a21\u578b\u3002<\/p>\n<hr \/>\n<h2>\ud83d\udccb \u4e2d\u82f1\u6df7\u5408\u7684\u9b45\u529b<\/h2>\n<p>Z-Image-Turbo \u6700\u4ee4\u4eba\u60ca\u53f9\u7684\u662f\u5b83\u5904\u7406\u590d\u6742\u6307\u4ee4\u7684\u80fd\u529b\u3002\u770b\u770b\u4e0b\u9762\u8fd9\u4e2a\u5b98\u65b9\u63d0\u4f9b\u7684\u6d4b\u8bd5 Prompt\uff0c\u5b83\u6df7\u5408\u4e86\u590d\u6742\u7684\u670d\u9970\u63cf\u8ff0\u548c\u5149\u5f71\u8981\u6c42\uff1a<\/p>\n<pre class=\"language-markdown\"><code>Young Chinese woman in red Hanfu, intricate embroidery. Impeccable makeup, red floral forehead pattern. Elaborate high bun, golden phoenix headdress, red flowers, beads. Holds round folding fan with lady, trees, bird. Neon lightning-bolt lamp (\u26a1\ufe0f), bright yellow glow, above extended left palm. Soft-lit outdoor night background, silhouetted tiered pagoda (\u897f\u5b89\u5927\u96c1\u5854), blurred colorful distant lights.<\/code><\/pre>\n<p><strong>\u89e3\u6790\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u5b9e\u4f53 (Entities)<\/strong>: \u7ea2\u8272\u6c49\u670d (Red Hanfu), \u51e4\u51f0\u5934\u9970 (Golden phoenix headdress).<\/li>\n<li><strong>\u96be\u70b9 (Challenges)<\/strong>: \u9713\u8679\u95ea\u7535\u706f (Neon lightning-bolt lamp), \u7279\u5b9a\u5730\u6807 (\u897f\u5b89\u5927\u96c1\u5854).<\/li>\n<li><strong>\u7ed3\u679c<\/strong>: \u6a21\u578b\u80fd\u7cbe\u51c6\u751f\u6210\u80cc\u666f\u4e2d\u7684\u5927\u96c1\u5854\u8f6e\u5ed3\uff0c\u5e76\u6b63\u786e\u5904\u7406\u624b\u6301\u9053\u5177\u7684\u5149\u5f71\u3002<\/li>\n<\/ul>\n<hr \/>\n<h2>\ud83d\udee0\ufe0f \u5982\u4f55\u5728 ComfyUI \u4e2d\u4f7f\u7528 Z-Image-Turbo<\/h2>\n<p>\u8981\u5728 ComfyUI \u4e2d\u8fd0\u884c Z-Image\uff0c\u4f60\u9700\u8981\u4e0b\u8f7d\u4e09\u4e2a\u5173\u952e\u6587\u4ef6\u5e76\u653e\u5165\u6b63\u786e\u7684\u4f4d\u7f6e\u3002<\/p>\n<h3>\u7b2c\u4e00\u6b65\uff1a\u4e0b\u8f7d\u6a21\u578b\u6587\u4ef6<\/h3>\n<p>\u8bf7\u8bbf\u95ee <a href=\"https:\/\/huggingface.co\/Tongyi-MAI\/Z-Image-Turbo\">Hugging Face<\/a> \u6216\u76f8\u5173\u955c\u50cf\u7ad9\u4e0b\u8f7d\u4ee5\u4e0b\u6587\u4ef6\uff1a<\/p>\n<ol>\n<li><strong>Diffusion \u6a21\u578b (\u4e3b\u4f53)<\/strong>:\n<ul>\n<li>\u6587\u4ef6\u540d: <code>z_image_turbo_bf16.safetensors<\/code><\/li>\n<li>\u5b58\u653e\u4f4d\u7f6e: <code>ComfyUI\/models\/diffusion_models\/<\/code><\/li>\n<li><em>\u6ce8\u610f\uff1a\u8fd9\u662f\u6838\u5fc3\u751f\u6210\u6a21\u578b\u3002<\/em><\/li>\n<\/ul>\n<\/li>\n<li><strong>Text Encoder (\u6587\u672c\u7f16\u7801\u5668)<\/strong>:\n<ul>\n<li>\u6587\u4ef6\u540d: <code>qwen_3_4b.safetensors<\/code><\/li>\n<li>\u5b58\u653e\u4f4d\u7f6e: <code>ComfyUI\/models\/text_encoders\/<\/code><\/li>\n<li><em>\u6ce8\u610f\uff1a\u8fd9\u662f\u5b83\u542c\u61c2\u4e2d\u6587\u7684\u5173\u952e\uff0c\u57fa\u4e8e Qwen \u67b6\u6784\u3002<\/em><\/li>\n<\/ul>\n<\/li>\n<li><strong>VAE (\u53d8\u5206\u81ea\u7f16\u7801\u5668)<\/strong>:\n<ul>\n<li>\u6587\u4ef6\u540d: <code>ae.safetensors<\/code> (\u5176\u5b9e\u5c31\u662f <strong>Flux 1 VAE<\/strong>)<\/li>\n<li>\u5b58\u653e\u4f4d\u7f6e: <code>ComfyUI\/models\/vae\/<\/code><\/li>\n<li><em>\u6ce8\u610f\uff1a\u5982\u679c\u4f60\u5df2\u7ecf\u6709\u4e86 Flux \u7684 VAE\uff0c\u53ef\u4ee5\u76f4\u63a5\u590d\u7528\uff0c\u65e0\u9700\u91cd\u590d\u4e0b\u8f7d\u3002<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3>\u7b2c\u4e8c\u6b65\uff1a\u642d\u5efa\u5de5\u4f5c\u6d41 (Workflow)<\/h3>\n<p><a href=\"https:\/\/comfyanonymous.github.io\/ComfyUI_examples\/z_image\/\">ComfyUI \u5b98\u65b9\u793a\u4f8b\u4ed3\u5e93<\/a>\u5df2\u7ecf\u66f4\u65b0\u4e86 Z-Image \u7684\u652f\u6301\u3002<\/p>\n<ol>\n<li><strong>\u66f4\u65b0 ComfyUI<\/strong>: \u786e\u4fdd\u4f60\u7684 ComfyUI \u662f\u6700\u65b0\u7248\u672c\uff0c\u56e0\u4e3a Z-Image \u9700\u8981\u6700\u65b0\u7684\u8282\u70b9\u652f\u6301\u3002<\/li>\n<li><strong>\u52a0\u8f7d\u5de5\u4f5c\u6d41<\/strong>:\n<ul>\n<li>\u4f60\u53ef\u4ee5\u76f4\u63a5\u62d6\u62fd\u5305\u542b Z-Image \u5143\u6570\u636e\u7684\u56fe\u7247\u8fdb\u5165 ComfyUI \u754c\u9762\u3002<\/li>\n<li>\u6216\u8005\u624b\u52a8\u642d\u5efa\uff1a\n<ul>\n<li><strong>Load Diffusion Model<\/strong>: \u9009\u62e9 <code>z_image_turbo_bf16.safetensors<\/code><\/li>\n<li><strong>Load CLIP<\/strong>: \u9009\u62e9 <code>qwen_3_4b.safetensors<\/code> (\u6ce8\u610f\u8fd9\u91cc\u662f\u7528 CLIP Loader \u52a0\u8f7d Qwen \u6a21\u578b)<\/li>\n<li><strong>Load VAE<\/strong>: \u9009\u62e9 <code>ae.safetensors<\/code><\/li>\n<li><strong>Sampler<\/strong>: \u8bbe\u7f6e Steps \u4e3a <code>8<\/code>\uff0cCFG (Guidance Scale) \u8bbe\u7f6e\u4e3a <code>1.0<\/code> \u6216\u66f4\u4f4e\uff08Turbo \u6a21\u578b\u901a\u5e38\u4e0d\u9700\u8981\u9ad8 CFG\uff09\u3002<em>\u6ce8\uff1a\u5b98\u65b9\u5efa\u8bae guidance_scale \u8bbe\u4e3a 0\uff0c\u4f46\u5728 ComfyUI \u91c7\u6837\u5668\u4e2d\u901a\u5e38\u5bf9\u5e94 CFG 1.0\u3002<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<hr \/>\n<h2>\u26a0\ufe0f \u907f\u5751\u6307\u5357<\/h2>\n<ol>\n<li><strong>Guidance Scale (CFG) \u8bbe\u7f6e<\/strong>: \u5bf9\u4e8e Turbo \u7c7b\u84b8\u998f\u6a21\u578b\uff0c<strong>\u4e0d\u8981<\/strong>\u8bbe\u7f6e\u5f88\u9ad8\u7684 CFG\u3002\u5728\u4ee3\u7801\u4e2d\u5b98\u65b9\u63a8\u8350 <code>guidance_scale=0.0<\/code>\u3002\u5728 ComfyUI \u7684\u6807\u51c6\u91c7\u6837\u5668\u4e2d\uff0c\u8fd9\u901a\u5e38\u610f\u5473\u7740\u4f60\u5e94\u8be5\u5c06 CFG \u8bbe\u7f6e\u4e3a <strong>1.0<\/strong>\u3002\u8bbe\u7f6e\u8fc7\u9ad8\u4f1a\u5bfc\u81f4\u753b\u9762\u70e7\u6bc1\u6216\u51fa\u73b0\u4f2a\u5f71\u3002<\/li>\n<li><strong>\u663e\u5b58\u4f18\u5316<\/strong>: \u5982\u679c\u4f60\u662f 16GB \u4ee5\u4e0b\u663e\u5b58\u7684\u7528\u6237\uff0c\u53ef\u4ee5\u901a\u8fc7\u542f\u7528 <code>--lowvram<\/code> \u542f\u52a8\u53c2\u6570\u6765\u5c1d\u8bd5\u8fd0\u884c\uff0c\u4f46\u53ef\u80fd\u4f1a\u727a\u7272\u4e00\u4e9b\u901f\u5ea6\u3002\u63a8\u8350\u4f7f\u7528 <code>bf16<\/code> \u7248\u672c\u4ee5\u83b7\u5f97\u6700\u4f73\u7684\u6027\u80fd\/\u663e\u5b58\u5e73\u8861\u3002<\/li>\n<li><strong>\u91c7\u6837\u5668\u9009\u62e9<\/strong>: \u63a8\u8350\u4f7f\u7528 <code>euler_ancestral<\/code> \u6216 <code>dpmpp_2m_sde<\/code> \u7b49\u9002\u5408\u5c11\u6b65\u6570\u751f\u6210\u7684\u91c7\u6837\u5668\u3002<\/li>\n<li><strong>\u4e2d\u6587 Prompt<\/strong>: \u867d\u7136\u5b83\u652f\u6301\u82f1\u6587\uff0c\u4f46\u5f3a\u70c8\u5efa\u8bae\u5c1d\u8bd5\u52a0\u5165\u4e2d\u6587\u63cf\u8ff0\u8bcd\uff0c\u7279\u522b\u662f\u6d89\u53ca\u5230\u4e2d\u56fd\u6587\u5316\u5143\u7d20\uff08\u5982\u201c\u9752\u82b1\u74f7\u201d\u3001\u201c\u6c34\u58a8\u753b\u98ce\u683c\u201d\uff09\u65f6\uff0cQwen 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Prompt\uff0c\u4f53\u9a8c\u4e00\u4e0b\u201c\u79d2\u51fa\u5927\u7247\u201d\u7684\u5feb\u611f\u5427\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5728 AI \u7ed8\u753b\u754c\uff0c\u6211\u4eec\u4e60\u60ef\u4e86\u4e3a\u4e86\u8ffd\u6c42\u9ad8\u8d28\u91cf\u753b\u8d28\u800c\u5fcd\u53d7\u6f2b\u957f\u7684\u6e32\u67d3\u65f6\u95f4\uff08\u770b\u7740 Flux \u7684\u8fdb\u5ea6\u6761\u4e00\u70b9\u70b9\u632a\u52a8\uff09\u3002\u4f46\u5982\u679c\u6211\u544a\u8bc9\u4f60\uff0c\u6709\u4e00\u4e2a\u6a21\u578b\u65e2\u80fd\u8fbe\u5230\u7167\u7247\u7ea7\u7684\u903c\u771f\u5ea6\uff0c\u53c8\u80fd\u7cbe\u51c6\u6e32\u67d3\u4e2d\u6587\u6c49\u5b57\uff0c\u800c\u4e14\u53ea\u9700\u8981 8 \u6b65\uff08\u751a\u81f3\u4e0d\u5230 1 \u79d2\uff09\u5c31\u80fd\u51fa\u56fe\uff0c\u4f60\u4f1a\u5fc3\u52a8\u5417\uff1f \u8fd9\u5c31\u662f Z-Image-Turbo\u3002 \u7531 Tongyi-MAI\uff08\u901a\u4e49-\u8682\u8681\u8054\u5408\u56e2\u961f\uff09\u5f00\u6e90\uff0c\u8fd9\u4e2a 60 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