{"id":29366,"date":"2025-03-25T17:29:16","date_gmt":"2025-03-25T09:29:16","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=29366"},"modified":"2025-03-25T17:29:16","modified_gmt":"2025-03-25T09:29:16","slug":"diffsynth-engine","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/diffsynth-engine\/","title":{"rendered":"DiffSynth-Engine\uff1a\u4f4e\u73b0\u5b58\u90e8\u7f72FLUX\u3001Wan2.1\u7684\u5f00\u6e90\u5f15\u64ce"},"content":{"rendered":"<p>DiffSynth-Engine \u662f\u9b54\u642d\u793e\u533a\uff08ModelScope\uff09\u63a8\u51fa\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u6258\u7ba1\u4e8e GitHub\u3002\u5b83\u57fa\u4e8e\u6269\u6563\u6a21\u578b\u6280\u672f\uff0c\u4e13\u6ce8\u4e8e\u9ad8\u6548\u751f\u6210\u56fe\u50cf\u548c\u89c6\u9891\uff0c\u9002\u5408\u5f00\u53d1\u8005\u5728\u751f\u4ea7\u73af\u5883\u4e2d\u90e8\u7f72 AI \u6a21\u578b\u3002\u9879\u76ee\u4ece DiffSynth-Studio \u6f14\u8fdb\u800c\u6765\uff0c\u7ecf\u8fc7\u5168\u9762\u5de5\u7a0b\u5316\u6539\u9020\uff0c\u4f18\u5316\u4e86\u8ba1\u7b97\u6548\u7387\u548c\u90e8\u7f72\u4fbf\u6377\u6027\u3002\u5b83\u652f\u6301\u591a\u79cd\u6a21\u578b\uff08\u5982 FLUX\u3001Wan2.1\uff09\uff0c\u63d0\u4f9b\u6e05\u6670\u7684\u4ee3\u7801\u7ed3\u6784\u548c\u7075\u6d3b\u7684\u5185\u5b58\u7ba1\u7406\u3002\u622a\u81f3 2025 \u5e74 3 \u6708\uff0c\u9879\u76ee\u6301\u7eed\u66f4\u65b0\uff0c\u53d7\u5230\u5f00\u6e90\u793e\u533a\u5e7f\u6cdb\u5173\u6ce8\uff0c\u65e8\u5728\u63a8\u52a8 AI \u521b\u4f5c\u7684\u5b9e\u7528\u5316\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-29367\" title=\"DiffSynth-Engine\uff1a\u4f4e\u73b0\u5b58\u90e8\u7f72FLUX\u3001Wan2.1\u7684\u5f00\u6e90\u5f15\u64ce-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/ced1458d154ed94.png\" alt=\"DiffSynth-Engine\uff1a\u4f4e\u73b0\u5b58\u90e8\u7f72FLUX\u3001Wan2.1\u7684\u5f00\u6e90\u5f15\u64ce-1\" width=\"786\" height=\"526\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/ced1458d154ed94.png 786w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/ced1458d154ed94-768x514.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/ced1458d154ed94-18x12.png 18w\" sizes=\"auto, (max-width: 786px) 100vw, 786px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u652f\u6301\u9ad8\u6548\u751f\u6210\u56fe\u50cf\u548c\u89c6\u9891\uff0c\u8986\u76d6\u4ece\u9759\u6001\u56fe\u7247\u5230\u52a8\u6001\u5185\u5bb9\u7684\u591a\u79cd\u9700\u6c42\u3002<\/li>\n<li>\u63d0\u4f9b\u6e05\u6670\u53ef\u8bfb\u7684\u4ee3\u7801\uff0c\u65e0\u9700\u4f9d\u8d56\u7b2c\u4e09\u65b9\u5e93\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u4fee\u6539\u548c\u6269\u5c55\u3002<\/li>\n<li>\u517c\u5bb9\u591a\u79cd\u57fa\u7840\u6a21\u578b\uff08\u5982 FLUX\u3001Wan2.1\uff09\u548c LoRA \u6a21\u578b\uff0c\u9002\u5e94\u4e0d\u540c\u573a\u666f\u3002<\/li>\n<li>\u5185\u7f6e\u7075\u6d3b\u7684\u5185\u5b58\u7ba1\u7406\uff0c\u652f\u6301 FP8\u3001INT8 \u7b49\u91cf\u5316\u6a21\u5f0f\uff0c\u4f4e\u663e\u5b58\u8bbe\u5907\u4e5f\u80fd\u8fd0\u884c\u3002<\/li>\n<li>\u4f18\u5316\u63a8\u7406\u901f\u5ea6\uff0c\u652f\u6301\u5f20\u91cf\u5e76\u884c\u8ba1\u7b97\uff0c\u52a0\u901f\u5927\u89c4\u6a21\u751f\u6210\u4efb\u52a1\u3002<\/li>\n<li>\u63d0\u4f9b\u8de8\u5e73\u53f0\u652f\u6301\uff0c\u517c\u5bb9 Windows\u3001macOS\uff08\u542b Apple Silicon\uff09\u548c Linux\u3002<\/li>\n<li>\u652f\u6301\u6587\u672c\u5230\u56fe\u50cf\u3001\u6587\u672c\u5230\u89c6\u9891\uff0c\u4ee5\u53ca\u89c6\u9891\u98ce\u683c\u5316\u7b49\u591a\u79cd\u529f\u80fd\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>\u5b89\u88c5 DiffSynth-Engine \u5f88\u7b80\u5355\uff0c\u53ea\u9700\u51e0\u6b65\u5373\u53ef\u5b8c\u6210\u3002<\/p>\n<ol>\n<li><strong>\u5b89\u88c5\u6838\u5fc3\u5305<\/strong><br \/>\n\u5728\u7ec8\u7aef\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff0c\u901a\u8fc7 pip3 \u5b89\u88c5\uff1a<\/li>\n<\/ol>\n<pre><code>pip3 install diffsynth-engine\r\n<\/code><\/pre>\n<p>\u786e\u4fdd Python \u7248\u672c\u4e3a 3.8 \u6216\u4ee5\u4e0a\u3002\u5efa\u8bae\u4f7f\u7528\u865a\u62df\u73af\u5883\uff0c\u907f\u514d\u4f9d\u8d56\u51b2\u7a81\u3002<\/p>\n<ol start=\"2\">\n<li><strong>\u4e0b\u8f7d\u6a21\u578b\u6587\u4ef6<\/strong><br \/>\n\u9879\u76ee\u4e0d\u5305\u542b\u6a21\u578b\u6587\u4ef6\uff0c\u9700\u624b\u52a8\u6216\u901a\u8fc7\u4ee3\u7801\u4e0b\u8f7d\u3002\u4f8b\u5982\uff0c\u83b7\u53d6 <a href=\"https:\/\/www.kdjingpai.com\/pt\/manxuebanflux1chan\/\">FLUX<\/a> \u6a21\u578b\uff1a<\/li>\n<\/ol>\n<pre><code>from diffsynth_engine import fetch_model\r\nmodel_path = fetch_model(\"muse\/flux-with-vae\", revision=\"20240902173035\", path=\"flux1-dev-with-vae.safetensors\")\r\n<\/code><\/pre>\n<p>\u4e0b\u8f7d\u540e\uff0c\u6a21\u578b\u6587\u4ef6\u901a\u5e38\u653e\u5728\u672c\u5730\u6307\u5b9a\u76ee\u5f55\uff0c\u4f9b\u811a\u672c\u8c03\u7528\u3002<\/p>\n<ol start=\"3\">\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong><br \/>\n\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u8fd0\u884c\u7b80\u5355\u6d4b\u8bd5\u811a\u672c\u786e\u8ba4\u73af\u5883\u6b63\u5e38\uff1a<\/p>\n<pre><code>from diffsynth_engine import __version__\r\nprint(__version__)\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\u7248\u672c\u53f7\u5373\u8868\u793a\u5b89\u88c5\u6210\u529f\u3002<\/li>\n<\/ol>\n<h3>\u4e3b\u8981\u529f\u80fd\u64cd\u4f5c<\/h3>\n<h4>1. \u751f\u6210\u56fe\u50cf\uff08\u4ee5 FLUX \u4e3a\u4f8b\uff09<\/h4>\n<ul>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong><br \/>\n\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u751f\u6210\u56fe\u50cf\uff1a<\/p>\n<pre><code>from diffsynth_engine.pipelines import FluxImagePipeline, FluxModelConfig\r\nfrom diffsynth_engine import fetch_model\r\nmodel_path = fetch_model(\"muse\/flux-with-vae\", revision=\"20240902173035\", path=\"flux1-dev-with-vae.safetensors\")\r\nconfig = FluxModelConfig(dit_path=model_path)\r\npipe = FluxImagePipeline.from_pretrained(config, offload_mode=\"cpu_offload\").eval()\r\nimage = pipe(\r\nprompt=\"\u6708\u7403\u4e0a\u7684\u5b87\u822a\u5458\u9a91\u9a6c\uff0c\u9ed1\u767d\u6444\u5f71\u98ce\u683c\uff0c\u9897\u7c92\u611f\u5f3a\uff0c\u5bf9\u6bd4\u5ea6\u9ad8\",\r\nwidth=1024,\r\nheight=1024,\r\nnum_inference_steps=30,\r\nseed=42,\r\n)\r\nimage.save(\"flux_txt2img.png\")\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u7279\u8272\u8bf4\u660e<\/strong><br \/>\n\u9ed8\u8ba4\u9700\u8981 23GB \u663e\u5b58\u3002\u82e5\u663e\u5b58\u4e0d\u8db3\uff0c\u53ef\u8c03\u6574\u00a0<code>offload_mode=\"sequential_cpu_offload\"<\/code>\uff0c\u53ea\u9700 4GB \u663e\u5b58\u5373\u53ef\u8fd0\u884c\uff0c\u4f46\u751f\u6210\u65f6\u95f4\u4f1a\u5ef6\u957f\uff08\u5982 91 \u79d2\uff09\u3002\u652f\u6301\u591a\u79cd\u91cf\u5316\u7cbe\u5ea6\uff08\u5982 q8_0\u3001q6_k\uff09\uff0c\u663e\u5b58\u9700\u6c42\u53ef\u964d\u81f3 7-12GB\u3002<\/li>\n<\/ul>\n<h4>2. \u751f\u6210\u89c6\u9891\uff08\u4ee5 Wan2.1 \u4e3a\u4f8b\uff09<\/h4>\n<ul>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong><br \/>\n\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u751f\u6210\u89c6\u9891\uff1a<\/p>\n<pre><code>from diffsynth_engine.pipelines import WanVideoPipeline, WanModelConfig\r\nfrom diffsynth_engine.utils.download import fetch_model\r\nfrom diffsynth_engine.utils.video import save_video\r\nconfig = WanModelConfig(\r\nmodel_path=fetch_model(\"muse\/wan2.1-14b-bf16\", path=\"dit.safetensors\"),\r\nt5_path=fetch_model(\"muse\/wan2.1-umt5\", path=\"umt5.safetensors\"),\r\nvae_path=fetch_model(\"muse\/wan2.1-vae\", path=\"vae.safetensors\"),\r\n)\r\npipe = WanVideoPipeline.from_pretrained(config)\r\nvideo = pipe(\r\nprompt=\"\u5c0f\u72d7\u5728\u8349\u5730\u4e0a\u5954\u8dd1\uff0c\u9633\u5149\u7167\u8000\uff0c\u80cc\u666f\u6709\u91ce\u82b1\u548c\u84dd\u5929\",\r\nnum_frames=41,\r\nwidth=848,\r\nheight=480,\r\nseed=42,\r\n)\r\nsave_video(video, \"wan_t2v.mp4\", fps=15)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u7279\u8272\u8bf4\u660e<\/strong><br \/>\n\u5355\u5361\u751f\u6210 2 \u79d2\u89c6\u9891\u9700 358 \u79d2\u3002\u82e5\u4f7f\u7528 4 \u5f20 A100 GPU \u5e76\u5f00\u542f\u5f20\u91cf\u5e76\u884c\uff08<code>parallelism=4, use_cfg_parallel=True<\/code>\uff09\uff0c\u65f6\u95f4\u7f29\u77ed\u81f3 114 \u79d2\uff0c\u52a0\u901f\u6bd4\u8fbe 3.14 \u500d\u3002<\/li>\n<\/ul>\n<h4>3. \u4f4e\u663e\u5b58\u4f18\u5316<\/h4>\n<ul>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong><br \/>\n\u5728 FLUX \u793a\u4f8b\u4e2d\uff0c\u5c06\u00a0<code>offload_mode<\/code>\u00a0\u6539\u4e3a\u00a0<code>sequential_cpu_offload<\/code>\uff1a<\/p>\n<pre><code>pipe = FluxImagePipeline.from_pretrained(config, offload_mode=\"sequential_cpu_offload\").eval()\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u7279\u8272\u8bf4\u660e<\/strong><br \/>\n\u663e\u5b58\u9700\u6c42\u4ece 23GB \u964d\u81f3 3.52GB\uff0c\u9002\u5408\u666e\u901a\u8bbe\u5907\u3002\u91cf\u5316\u6a21\u5f0f\uff08\u5982 q4_k_s\uff09\u8fdb\u4e00\u6b65\u5e73\u8861\u901f\u5ea6\u548c\u8d28\u91cf\uff0c\u751f\u6210\u6548\u679c\u7565\u6709\u4e0b\u964d\u4f46\u4ecd\u5b9e\u7528\u3002<\/li>\n<\/ul>\n<h4>4. \u591a\u5361\u5e76\u884c\u63a8\u7406<\/h4>\n<ul>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong><br \/>\n\u5728 Wan2.1 \u793a\u4f8b\u4e2d\uff0c\u6dfb\u52a0\u5e76\u884c\u53c2\u6570\uff1a<\/p>\n<pre><code>pipe = WanVideoPipeline.from_pretrained(config, parallelism=4, use_cfg_parallel=True)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u7279\u8272\u8bf4\u660e<\/strong><br \/>\n\u652f\u6301\u591a GPU \u5e76\u884c\u8ba1\u7b97\u30022 \u5f20 GPU \u52a0\u901f 1.97 \u500d\uff0c4 \u5f20 GPU \u52a0\u901f 3.14 \u500d\uff0c\u9002\u5408\u5de5\u4e1a\u7ea7\u90e8\u7f72\u3002<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u56fe\u50cf\u751f\u6210\u63a8\u8350 8GB \u663e\u5b58\uff0c\u89c6\u9891\u751f\u6210\u5efa\u8bae 24GB \u6216\u591a\u5361\u914d\u7f6e\u3002<\/li>\n<li><strong>\u6a21\u578b\u8def\u5f84<\/strong>\uff1a\u786e\u4fdd\u00a0<code>fetch_model<\/code>\u00a0\u4e0b\u8f7d\u7684\u8def\u5f84\u6b63\u786e\uff0c\u5426\u5219\u9700\u624b\u52a8\u6307\u5b9a\u3002<\/li>\n<li><strong>\u6587\u6863\u53c2\u8003<\/strong>\uff1a\u66f4\u591a\u7528\u6cd5\u89c1\u5b98\u65b9 GitHub \u9875\u9762\u00a0<code>&lt;https:\/\/github.com\/modelscope\/DiffSynth-Engine&gt;<\/code>\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u4e2a\u4eba\u521b\u4f5c<\/strong><br \/>\n\u7528\u6237\u53ef\u4ee5\u7528 FLUX \u751f\u6210\u827a\u672f\u56fe\u50cf\uff0c\u6216\u7528 Wan2.1 \u5236\u4f5c\u77ed\u89c6\u9891\uff0c\u9002\u5408\u793e\u4ea4\u5a92\u4f53\u5206\u4eab\u3002<\/li>\n<li><strong>\u5de5\u4e1a\u90e8\u7f72<\/strong><br \/>\n\u4f01\u4e1a\u53ef\u5229\u7528\u591a\u5361\u5e76\u884c\u63a8\u7406\uff0c\u5feb\u901f\u751f\u6210\u9ad8\u8d28\u91cf\u89c6\u9891\u5185\u5bb9\uff0c\u7528\u4e8e\u5e7f\u544a\u6216\u5f71\u89c6\u5236\u4f5c\u3002<\/li>\n<li><strong>\u6280\u672f\u7814\u7a76<\/strong><br \/>\n\u5f00\u53d1\u8005\u53ef\u4fee\u6539\u4ee3\u7801\uff0c\u6d4b\u8bd5\u4e0d\u540c\u6a21\u578b\u548c\u91cf\u5316\u7b56\u7565\uff0c\u63a8\u52a8 AI \u6280\u672f\u4f18\u5316\u3002<\/li>\n<li><strong>\u6559\u80b2\u57f9\u8bad<\/strong><br \/>\n\u5b66\u751f\u53ef\u901a\u8fc7\u7b80\u5355\u5b89\u88c5\uff0c\u5b66\u4e60\u6269\u6563\u6a21\u578b\u7684\u5b9e\u9645\u5e94\u7528\uff0c\u63a2\u7d22 AI \u751f\u6210\u539f\u7406\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>\u5b89\u88c5\u5931\u8d25\u600e\u4e48\u529e\uff1f<\/strong><br \/>\n\u68c0\u67e5 Python \u7248\u672c\u548c\u7f51\u7edc\u8fde\u63a5\u3002\u786e\u4fdd pip \u662f\u6700\u65b0\u7248\uff08<code>pip install --upgrade pip<\/code>\uff09\uff0c\u6216\u624b\u52a8\u4e0b\u8f7d\u4f9d\u8d56\u3002<\/li>\n<li><strong>\u652f\u6301\u54ea\u4e9b\u6a21\u578b\uff1f<\/strong><br \/>\n\u652f\u6301 FLUX\u3001Wan2.1 \u7b49\u57fa\u7840\u6a21\u578b\uff0c\u4ee5\u53ca\u517c\u5bb9 LoRA \u5fae\u8c03\u6a21\u578b\uff0c\u8986\u76d6\u56fe\u50cf\u548c\u89c6\u9891\u751f\u6210\u3002<\/li>\n<li><strong>\u4f4e\u914d\u7535\u8111\u80fd\u7528\u5417\uff1f<\/strong><br \/>\n\u53ef\u4ee5\u3002\u8c03\u6574\u00a0<code>offload_mode<\/code>\u00a0\u548c\u91cf\u5316\u53c2\u6570\u540e\uff0c4GB \u663e\u5b58\u5373\u53ef\u8fd0\u884c FLUX\u3002<\/li>\n<li><strong>\u591a\u5361\u5e76\u884c\u600e\u4e48\u8bbe\u7f6e\uff1f<\/strong><br \/>\n\u5728\u7ba1\u9053\u521d\u59cb\u5316\u65f6\u6dfb\u52a0\u00a0<code>parallelism<\/code>\u00a0\u53c2\u6570\uff0c\u9700\u786e\u4fdd GPU \u6570\u91cf\u5339\u914d\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>DiffSynth-Engine \u662f\u9b54\u642d\u793e\u533a\uff08ModelScope\uff09\u63a8\u51fa\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u6258\u7ba1\u4e8e GitHub\u3002\u5b83\u57fa\u4e8e\u6269\u6563\u6a21\u578b\u6280\u672f\uff0c\u4e13\u6ce8\u4e8e\u9ad8\u6548\u751f\u6210\u56fe\u50cf\u548c\u89c6\u9891\uff0c\u9002\u5408\u5f00\u53d1\u8005\u5728\u751f\u4ea7\u73af\u5883\u4e2d\u90e8\u7f72 AI \u6a21\u578b\u3002\u9879\u76ee\u4ece DiffSynth-Studio 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