{"id":60376,"date":"2025-12-05T19:47:39","date_gmt":"2025-12-05T11:47:39","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=60376"},"modified":"2025-12-05T19:47:39","modified_gmt":"2025-12-05T11:47:39","slug":"z-imagejiyuaa","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/de\/z-imagejiyuaa\/","title":{"rendered":"Z-Image\uff1a\u57fa\u4e8e\u963f\u91cc\u901a\u4e49\u5b9e\u9a8c\u5ba4\u63a8\u51fa\u76846B\u6a21\u578b\u5728\u7ebf\u56fe\u50cf\u751f\u6210\u5de5\u5177"},"content":{"rendered":"<p>Z-Image \u662f\u7531\u963f\u91cc\u5df4\u5df4\u901a\u4e49\u5b9e\u9a8c\u5ba4\uff08Tongyi Lab\uff09\u5f00\u53d1\u5e76\u5f00\u6e90\u7684\u4e00\u6b3e\u9ad8\u6548\u56fe\u50cf\u751f\u6210\u57fa\u7840\u6a21\u578b\u3002\u5b83\u91c7\u7528\u4e86\u4e00\u79cd\u540d\u4e3a\u201c\u53ef\u6269\u5c55\u5355\u6d41\u6269\u6563Transformer\u201d\uff08Scalable Single-Stream DiT, S3-DiT\uff09\u7684\u521b\u65b0\u67b6\u6784\uff0c\u5c06\u6587\u672c\u3001\u89c6\u89c9\u8bed\u4e49\u548c\u56fe\u50cf\u6f5c\u53d8\u91cf\u7edf\u4e00\u5728\u5355\u4e2a\u6d41\u4e2d\u5904\u7406\uff0c\u4ece\u800c\u6781\u5927\u63d0\u5347\u4e86\u53c2\u6570\u6548\u7387\u3002\u4e0e\u52a8\u8f84\u6570\u767e\u4ebf\u53c2\u6570\u7684\u5de8\u578b\u6a21\u578b\u4e0d\u540c\uff0cZ-Image \u4ec5\u5305\u542b 60 \u4ebf\uff086B\uff09\u53c2\u6570\uff0c\u5374\u80fd\u751f\u6210\u5ab2\u7f8e\u9876\u7ea7\u5546\u4e1a\u6a21\u578b\u7684\u7167\u7247\u7ea7\u903c\u771f\u56fe\u50cf\u3002\u8be5\u6a21\u578b\u6700\u663e\u8457\u7684\u7279\u70b9\u662f\u201c\u751f\u4ea7\u73af\u5883\u53cb\u597d\u201d\uff0c\u5b83\u4e0d\u4ec5\u63a8\u7406\u901f\u5ea6\u6781\u5feb\uff08Turbo \u7248\u672c\u53ef\u5b9e\u73b0\u4e9a\u79d2\u7ea7\u51fa\u56fe\uff09\uff0c\u800c\u4e14\u5bf9\u786c\u4ef6\u8981\u6c42\u6781\u4f4e\uff0c\u80fd\u591f\u5728 16GB \u663e\u5b58\u7684\u6d88\u8d39\u7ea7\u663e\u5361\u4e0a\u6d41\u7545\u8fd0\u884c\u3002\u6b64\u5916\uff0cZ-Image \u89e3\u51b3\u4e86\u4f20\u7edf\u751f\u56fe\u6a21\u578b\u5728\u6587\u5b57\u5904\u7406\u4e0a\u7684\u75db\u70b9\uff0c\u80fd\u591f\u7cbe\u51c6\u6e32\u67d3\u590d\u6742\u7684\u4e2d\u6587\u548c\u82f1\u6587\u6587\u672c\uff0c\u662f\u76ee\u524d\u5f00\u6e90\u754c\u517c\u987e\u6027\u80fd\u3001\u6548\u7387\u4e0e\u6587\u672c\u751f\u6210\u80fd\u529b\u7684\u4ee3\u8868\u6027\u4f5c\u54c1\u3002<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u9ad8\u8d28\u91cf\u56fe\u50cf\u751f\u6210<\/strong>\uff1a\u57fa\u4e8e 6B \u53c2\u6570\u89c4\u6a21\uff0c\u751f\u6210\u5177\u6709\u7167\u7247\u7ea7\u771f\u5b9e\u611f\u3001\u7ec6\u8282\u4e30\u5bcc\u4e14\u6784\u56fe\u7f8e\u89c2\u7684\u56fe\u50cf\u3002<\/li>\n<li><strong>\u4e2d\u82f1\u53cc\u8bed\u6587\u672c\u6e32\u67d3<\/strong>\uff1a\u7279\u6709\u7684\u6587\u672c\u7f16\u7801\u5904\u7406\u80fd\u529b\uff0c\u4f7f\u5176\u80fd\u591f\u51c6\u786e\u5730\u5728\u56fe\u7247\u4e2d\u751f\u6210\u590d\u6742\u7684\u4e2d\u6587\u6c49\u5b57\u548c\u82f1\u6587\u5b57\u7b26\uff0c\u89e3\u51b3\u4e86\u201cAI\u4e0d\u8bc6\u5b57\u201d\u7684\u96be\u9898\u3002<\/li>\n<li><strong>\u6781\u901f\u63a8\u7406\uff08Turbo\u6a21\u5f0f\uff09<\/strong>\uff1a\u63d0\u4f9b\u00a0<code>Z-Image-Turbo<\/code>\u00a0\u7248\u672c\uff0c\u901a\u8fc7\u84b8\u998f\u6280\u672f\u5c06\u63a8\u7406\u6b65\u9aa4\u51cf\u5c11\u81f3 8 \u6b65\uff0c\u5728\u4f01\u4e1a\u7ea7 GPU \u4e0a\u5b9e\u73b0\u4e9a\u79d2\u7ea7\u751f\u6210\uff0c\u5728\u6d88\u8d39\u7ea7\u663e\u5361\u4e0a\u4e5f\u6781\u5feb\u3002<\/li>\n<li><strong>\u4f4e\u663e\u5b58\u5360\u7528<\/strong>\uff1a\u7cbe\u5fc3\u4f18\u5316\u7684\u67b6\u6784\u4f7f\u5f97\u6a21\u578b\u53ef\u4ee5\u5728\u5c0f\u4e8e 16GB VRAM \u7684\u663e\u5361\uff08\u5982 RTX 4080\/4090 \u751a\u81f3\u66f4\u4f4e\u663e\u5b58\u914d\u7f6e\uff09\u4e0a\u8fd0\u884c\u3002<\/li>\n<li><strong>\u7cbe\u51c6\u6307\u4ee4\u9075\u5faa<\/strong>\uff1a<code>Z-Image-Edit<\/code>\u00a0\u7248\u672c\u4e13\u95e8\u9488\u5bf9\u56fe\u50cf\u7f16\u8f91\u5fae\u8c03\uff0c\u80fd\u591f\u7406\u89e3\u590d\u6742\u7684\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\uff0c\u5bf9\u56fe\u50cf\u8fdb\u884c\u5c40\u90e8\u4fee\u6539\u6216\u5168\u5c40\u98ce\u683c\u8f6c\u6362\u3002<\/li>\n<li><strong>\u5355\u6d41\u67b6\u6784\uff08S3-DiT\uff09<\/strong>\uff1a\u91c7\u7528\u5168\u53c2\u6570\u5171\u4eab\u7684\u5355\u6d41\u67b6\u6784\uff0c\u800c\u975e\u4f20\u7edf\u7684\u53cc\u6d41\uff08\u6587\u56fe\u5206\u79bb\uff09\u8bbe\u8ba1\uff0c\u63d0\u5347\u4e86\u6a21\u578b\u5bf9\u56fe\u6587\u5173\u7cfb\u7684\u7406\u89e3\u6df1\u5ea6\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>Z-Image \u63d0\u4f9b\u4e86\u591a\u79cd\u4f7f\u7528\u65b9\u5f0f\uff0c\u65e2\u652f\u6301\u5f00\u53d1\u8005\u901a\u8fc7 Python \u4ee3\u7801\u8c03\u7528\uff0c\u4e5f\u652f\u6301\u8bbe\u8ba1\u5e08\u901a\u8fc7 <a href=\"https:\/\/www.kdjingpai.com\/de\/comfyui\/\">ComfyUI<\/a> \u7b49\u53ef\u89c6\u5316\u754c\u9762\u4f7f\u7528\u3002\u4ee5\u4e0b\u662f\u57fa\u4e8e\u666e\u901a\u7528\u6237\u548c\u5f00\u53d1\u8005\u7684\u8be6\u7ec6\u64cd\u4f5c\u6307\u5f15\u3002<\/p>\n<h3>1. \u786c\u4ef6\u51c6\u5907<\/h3>\n<p>\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u8bf7\u786e\u4fdd\u60a8\u7684\u7535\u8111\u6ee1\u8db3\u4ee5\u4e0b\u57fa\u672c\u8981\u6c42\uff1a<\/p>\n<ul>\n<li><strong>\u64cd\u4f5c\u7cfb\u7edf<\/strong>\uff1aLinux \u6216 Windows\uff08\u63a8\u8350 Windows 10\/11\uff09\u3002<\/li>\n<li><strong>\u663e\u5361\uff08GPU\uff09<\/strong>\uff1aNVIDIA \u663e\u5361\uff0c\u663e\u5b58\u5efa\u8bae 16GB \u6216\u4ee5\u4e0a\uff08Turbo \u7248\u672c\u5728\u4f18\u5316\u540e\u53ef\u5728\u66f4\u4f4e\u663e\u5b58\u8fd0\u884c\uff0c\u4f46\u63a8\u8350 16GB \u4ee5\u83b7\u5f97\u6700\u4f73\u4f53\u9a8c\uff09\u3002<\/li>\n<li><strong>\u73af\u5883<\/strong>\uff1a\u5df2\u5b89\u88c5 Python 3.10+ \u548c PyTorch\u3002<\/li>\n<\/ul>\n<h3>2. \u4f7f\u7528 ComfyUI \u8fd0\u884c\uff08\u63a8\u8350\u8bbe\u8ba1\u5e08\/\u666e\u901a\u7528\u6237\uff09<\/h3>\n<p>ComfyUI \u662f\u76ee\u524d\u6700\u6d41\u884c\u7684\u8282\u70b9\u5f0f AI \u751f\u56fe\u5de5\u5177\uff0cZ-Image \u5df2\u6709\u793e\u533a\u652f\u6301\u7684\u5de5\u4f5c\u6d41\u3002<\/p>\n<p><strong>\u5b89\u88c5\u6b65\u9aa4\uff1a<\/strong><\/p>\n<ol>\n<li><strong>\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd<\/strong>\uff1a<br \/>\n\u8bbf\u95ee HuggingFace \u6216 ModelScope\uff08\u9b54\u642d\u793e\u533a\uff09\uff0c\u641c\u7d22\u00a0<code>Z-Image-Turbo<\/code>\u3002<br \/>\n\u4e0b\u8f7d\u4e3b\u6a21\u578b\u6587\u4ef6\uff08\u901a\u5e38\u4e3a\u00a0<code>.safetensors<\/code>\u00a0\u683c\u5f0f\uff09\u3002<br \/>\n\u5c06\u4e0b\u8f7d\u7684\u6587\u4ef6\u653e\u5165 ComfyUI \u7684\u00a0<code>models\/checkpoints\/<\/code>\u00a0\u76ee\u5f55\u4e0b\u3002<\/li>\n<li><strong>\u66f4\u65b0 ComfyUI<\/strong>\uff1a<br \/>\n\u786e\u4fdd\u60a8\u7684 ComfyUI \u662f\u6700\u65b0\u7248\u672c\uff0c\u6216\u8005\u5b89\u88c5\u4e86\u652f\u6301 Z-Image \u67b6\u6784\u7684\u7b2c\u4e09\u65b9\u63d2\u4ef6\uff08\u5982\u00a0<code>ComfyUI-GGUF<\/code>\u00a0\u6216\u4e13\u95e8\u7684 Z-Image \u52a0\u8f7d\u5668\u8282\u70b9\uff0c\u5177\u4f53\u89c6\u793e\u533a\u66f4\u65b0\u800c\u5b9a\uff09\u3002<\/li>\n<li><strong>\u52a0\u8f7d\u5de5\u4f5c\u6d41<\/strong>\uff1a<br \/>\n\u4e0b\u8f7d Z-Image \u5b98\u65b9\u6216\u793e\u533a\u63d0\u4f9b\u7684\u00a0<code><a href=\"https:\/\/www.kdjingpai.com\/de\/workflow\/\">workflow<\/a>.json<\/code>\u00a0\u6587\u4ef6\uff08\u901a\u5e38\u5728 GitHub \u4ed3\u5e93\u6216 <a href=\"https:\/\/www.kdjingpai.com\/de\/civitai\/\">Civitai<\/a> \u4e0a\u53ef\u4ee5\u627e\u5230\uff09\u3002<br \/>\n\u5c06 JSON \u6587\u4ef6\u62d6\u5165 ComfyUI \u754c\u9762\u3002<\/li>\n<li><strong>\u751f\u6210\u56fe\u50cf<\/strong>\uff1a<br \/>\n\u5728\u201cCLIP Text Encode\u201d\u8282\u70b9\u4e2d\u8f93\u5165\u60a8\u7684\u63d0\u793a\u8bcd\uff08Prompt\uff09\u3002Z-Image \u652f\u6301\u4e2d\u6587\u63d0\u793a\u8bcd\uff0c\u4f8b\u5982\uff1a<code>\u4e00\u5f20\u6d77\u62a5\uff0c\u4e0a\u9762\u5199\u7740\u201c\u901a\u4e49\u5b9e\u9a8c\u5ba4\u201d\u4e94\u4e2a\u5927\u5b57\uff0c\u80cc\u666f\u662f\u672a\u6765\u7684\u79d1\u6280\u57ce\u5e02<\/code>\u3002<br \/>\n\u70b9\u51fb\u201cQueue Prompt\u201d\u5f00\u59cb\u751f\u6210\u3002<\/li>\n<\/ol>\n<h3>3. \u4f7f\u7528 Python \u4ee3\u7801\u8fd0\u884c\uff08\u63a8\u8350\u5f00\u53d1\u8005\uff09<\/h3>\n<p>\u5982\u679c\u60a8\u719f\u6089\u7f16\u7a0b\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u00a0<code>diffusers<\/code>\u00a0\u5e93\u6765\u8fd0\u884c\u6a21\u578b\u3002<\/p>\n<p><strong>\u5b89\u88c5\u4f9d\u8d56\uff1a<\/strong><br \/>\n\u6253\u5f00\u7ec8\u7aef\uff08Terminal\uff09\u6216\u547d\u4ee4\u63d0\u793a\u7b26\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u5fc5\u8981\u5e93\uff1a<\/p>\n<pre><code>pip install torch diffusers transformers accelerate\r\n<\/code><\/pre>\n<p><strong>\u7f16\u5199\u8fd0\u884c\u811a\u672c\uff1a<\/strong><br \/>\n\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a\u00a0<code>run_zimage.py<\/code>\u00a0\u7684\u6587\u4ef6\uff0c\u586b\u5165\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<pre><code>import torch\r\nfrom diffusers import DiffusionPipeline\r\n# \u52a0\u8f7d Z-Image-Turbo \u6a21\u578b\r\n# \u6ce8\u610f\uff1a\u5982\u679c\u65e0\u6cd5\u76f4\u63a5\u8bbf\u95ee HuggingFace\uff0c\u8bf7\u4f7f\u7528 ModelScope \u7684\u955c\u50cf\u5730\u5740\r\npipe = DiffusionPipeline.from_pretrained(\r\n\"Tongyi-MAI\/Z-Image-Turbo\",\r\ntorch_dtype=torch.bfloat16,\r\nuse_safetensors=True\r\n)\r\n# \u542f\u7528\u663e\u5b58\u4f18\u5316\r\npipe.enable_model_cpu_offload()\r\n# \u5b9a\u4e49\u63d0\u793a\u8bcd\uff08\u652f\u6301\u4e2d\u6587\uff09\r\nprompt = \"\u4e00\u53ea\u7a7f\u7740\u5b87\u822a\u670d\u7684\u732b\u5728\u6708\u7403\u4e0a\u559d\u5496\u5561\uff0c\u80cc\u666f\u6709\u5730\u7403\uff0c\u7167\u7247\u7ea7\u771f\u5b9e\u611f\"\r\n# \u751f\u6210\u56fe\u50cf\r\nimage = pipe(\r\nprompt=prompt,\r\nnum_inference_steps=8,  # Turbo \u7248\u672c\u4ec5\u9700 8 \u6b65\r\nguidance_scale=0.0      # Turbo \u7248\u672c\u901a\u5e38\u8bbe\u4e3a 0\r\n).images[0]\r\n# \u4fdd\u5b58\u56fe\u7247\r\nimage.save(\"z_image_result.png\")\r\n<\/code><\/pre>\n<p><strong>\u6267\u884c\u751f\u6210\uff1a<\/strong><br \/>\n\u5728\u7ec8\u7aef\u8fd0\u884c\uff1a<\/p>\n<pre><code>python run_zimage.py\r\n<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u675f\u540e\uff0c\u5f53\u524d\u76ee\u5f55\u4e0b\u4f1a\u51fa\u73b0\u540d\u4e3a\u00a0<code>z_image_result.png<\/code>\u00a0\u7684\u56fe\u7247\u3002<\/p>\n<h3>4. \u8fdb\u9636\u529f\u80fd\uff1a\u56fe\u50cf\u7f16\u8f91<\/h3>\n<p>\u5982\u679c\u60a8\u9700\u8981\u4fee\u6539\u73b0\u6709\u56fe\u7247\uff0c\u8bf7\u4e0b\u8f7d\u00a0<code>Z-Image-Edit<\/code>\u00a0\u6a21\u578b\u6743\u91cd\uff0c\u5e76\u4f7f\u7528\u7c7b\u4f3c\u7684\u4ee3\u7801\u7ed3\u6784\uff0c\u4f46\u9700\u52a0\u8f7d\u00a0<code>Image-to-Image<\/code>\u00a0\u76f8\u5173\u7684 Pipeline\uff0c\u5e76\u63d0\u4f9b\u4e00\u5f20\u521d\u59cb\u56fe\u7247\u4f5c\u4e3a\u8f93\u5165\u3002<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u7535\u5546\u6d77\u62a5\u8bbe\u8ba1<\/strong><br \/>\n\u8bbe\u8ba1\u5e08\u53ef\u4ee5\u5229\u7528 Z-Image \u5f3a\u5927\u7684\u6587\u672c\u6e32\u67d3\u80fd\u529b\uff0c\u76f4\u63a5\u751f\u6210\u5305\u542b\u6b63\u786e\u5546\u54c1\u540d\u79f0\u548c\u5ba3\u4f20\u8bed\u7684\u7535\u5546\u6d77\u62a5\u80cc\u666f\uff0c\u65e0\u9700\u540e\u671f\u5927\u91cf PS \u5408\u6210\u6587\u5b57\uff0c\u5927\u5e45\u7f29\u77ed\u8bbe\u8ba1\u6d41\u7a0b\u3002<\/li>\n<li><strong>\u793e\u4ea4\u5a92\u4f53\u5185\u5bb9\u521b\u4f5c<\/strong><br \/>\n\u81ea\u5a92\u4f53\u521b\u4f5c\u8005\u53ef\u4ee5\u4f7f\u7528\u4e2d\u6587\u63d0\u793a\u8bcd\u5feb\u901f\u751f\u6210\u7b26\u5408\u4e2d\u56fd\u6587\u5316\u8bed\u5883\u7684\u914d\u56fe\uff0c\u4f8b\u5982\u8282\u65e5\u8d3a\u56fe\u3001\u53e4\u98ce\u63d2\u753b\u7b49\uff0c\u4e14\u65e0\u9700\u62c5\u5fc3\u590d\u6742\u7684\u82f1\u6587\u63d0\u793a\u8bcd\u95e8\u69db\u3002<\/li>\n<li><strong>\u6e38\u620f\u8d44\u4ea7\u539f\u578b\u5f00\u53d1<\/strong><br \/>\n\u6e38\u620f\u5f00\u53d1\u8005\u53ef\u4ee5\u5728 16GB \u663e\u5b58\u7684\u5f00\u53d1\u673a\u4e0a\u5feb\u901f\u8fed\u4ee3\u6e38\u620f\u89d2\u8272\u6216\u573a\u666f\u7684\u6982\u5ff5\u56fe\uff0c\u5229\u7528 Turbo 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