{"id":30535,"date":"2025-04-18T08:51:32","date_gmt":"2025-04-18T00:51:32","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=30535"},"modified":"2025-05-05T16:09:33","modified_gmt":"2025-05-05T08:09:33","slug":"framepack","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/framepack\/","title":{"rendered":"FramePack\uff1a6G\u4f4e\u663e\u5b58\u5feb\u901f\u751f\u6210\u957f\u89c6\u9891\u7684\u5f00\u6e90\u9879\u76ee"},"content":{"rendered":"<p>FramePack \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u89c6\u9891\u751f\u6210\u5de5\u5177\uff0c\u4e13\u6ce8\u4e8e\u8ba9\u89c6\u9891\u6269\u6563\u6280\u672f\u66f4\u5b9e\u7528\u3002\u5b83\u901a\u8fc7\u72ec\u7279\u7684\u4e0b\u4e00\u5e27\u9884\u6d4b\u795e\u7ecf\u7f51\u7edc\uff0c\u5c06\u8f93\u5165\u5e27\u538b\u7f29\u5230\u56fa\u5b9a\u957f\u5ea6\uff0c\u4f7f\u751f\u6210\u5de5\u4f5c\u91cf\u4e0e\u89c6\u9891\u957f\u5ea6\u89e3\u8026\u3002\u8fd9\u610f\u5473\u7740\u5373\u4f7f\u751f\u6210\u957f\u89c6\u9891\uff0c\u663e\u5b58\u9700\u6c42\u4e5f\u4e0d\u4f1a\u663e\u8457\u589e\u52a0\u3002FramePack \u6700\u4f4e\u53ea\u9700 6GB \u663e\u5b58\uff0c\u5c31\u80fd\u4ee5 30fps \u751f\u6210\u4e0a\u5343\u5e27\u89c6\u9891\uff0c\u9002\u5408\u666e\u901a\u6d88\u8d39\u7ea7 GPU\u3002\u9879\u76ee\u7531 Lvmin Zhang \u5f00\u53d1\uff0c\u57fa\u4e8e Hunyuan \u89c6\u9891\u6a21\u578b\u4f18\u5316\uff0c\u6a21\u578b\u53c2\u6570\u4ec5 13 \u4ebf\uff0c\u517c\u987e\u6548\u7387\u4e0e\u8f7b\u91cf\u5316\u3002FramePack \u63d0\u4f9b\u7b80\u5355\u6613\u7528\u7684 Gradio \u754c\u9762\uff0c\u652f\u6301\u56fe\u50cf\u5230\u89c6\u9891\u751f\u6210\uff0c\u751f\u6210\u901f\u5ea6\u5728\u4f18\u5316\u540e\u53ef\u8fbe 1.5 \u79d2\u6bcf\u5e27\u3002\u5b83\u9002\u7528\u4e8e\u5185\u5bb9\u521b\u4f5c\u8005\u3001\u5f00\u53d1\u8005\u4ee5\u53ca\u5bf9\u89c6\u9891\u751f\u6210\u611f\u5174\u8da3\u7684\u666e\u901a\u7528\u6237\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-30536\" title=\"FramePack\uff1a6G\u4f4e\u663e\u5b58\u5feb\u901f\u751f\u6210\u957f\u89c6\u9891\u7684\u5f00\u6e90\u9879\u76ee-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/78ac326f4fb8856.jpg\" alt=\"FramePack\uff1a6G\u4f4e\u663e\u5b58\u5feb\u901f\u751f\u6210\u957f\u89c6\u9891\u7684\u5f00\u6e90\u9879\u76ee-1\" width=\"1246\" height=\"1181\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/78ac326f4fb8856.jpg 1246w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/78ac326f4fb8856-768x728.jpg 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/78ac326f4fb8856-13x12.jpg 13w\" sizes=\"auto, (max-width: 1246px) 100vw, 1246px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u56fe\u50cf\u5230\u89c6\u9891\u751f\u6210\uff1a\u4ece\u5355\u5f20\u56fe\u50cf\u751f\u6210\u52a8\u6001\u89c6\u9891\uff0c\u652f\u6301\u957f\u89c6\u9891\u6269\u5c55\u3002<\/li>\n<li>\u4f4e\u663e\u5b58\u4f18\u5316\uff1a\u6700\u4f4e 6GB \u663e\u5b58\u5373\u53ef\u751f\u6210 60 \u79d2 30fps \u89c6\u9891\u3002<\/li>\n<li>\u4e0b\u4e00\u5e27\u9884\u6d4b\uff1a\u901a\u8fc7\u538b\u7f29\u4e0a\u4e0b\u6587\uff0c\u751f\u6210\u5de5\u4f5c\u91cf\u4e0e\u89c6\u9891\u957f\u5ea6\u65e0\u5173\u3002<\/li>\n<li>Gradio \u7528\u6237\u754c\u9762\uff1a\u63d0\u4f9b\u76f4\u89c2\u7684\u4e0a\u4f20\u56fe\u50cf\u3001\u8f93\u5165\u63d0\u793a\u8bcd\u548c\u9884\u89c8\u751f\u6210\u89c6\u9891\u529f\u80fd\u3002<\/li>\n<li>\u591a\u79cd\u6ce8\u610f\u529b\u673a\u5236\u652f\u6301\uff1a\u652f\u6301 PyTorch\u3001xformers\u3001flash-attn \u548c sage-attention\u3002<\/li>\n<li>\u8de8\u5e73\u53f0\u517c\u5bb9\uff1a\u652f\u6301 Linux \u548c Windows\uff0c\u517c\u5bb9 NVIDIA RTX 30XX\/40XX\/50XX \u7cfb\u5217 GPU\u3002<\/li>\n<li>\u4f18\u5316\u751f\u6210\u901f\u5ea6\uff1a\u4f7f\u7528 teacache \u4f18\u5316\u540e\uff0c\u751f\u6210\u901f\u5ea6\u53ef\u8fbe 1.5 \u79d2\u6bcf\u5e27\u3002<\/li>\n<li>\u6279\u91cf\u8bad\u7ec3\u652f\u6301\uff1a\u652f\u6301\u7c7b\u4f3c\u56fe\u50cf\u6269\u6563\u7684\u8d85\u5927\u6279\u91cf\u8bad\u7ec3\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>FramePack \u7684\u5b89\u88c5\u8fc7\u7a0b\u8f83\u4e3a\u6280\u672f\u5316\uff0c\u9002\u5408\u6709\u4e00\u5b9a Python \u548c GPU \u73af\u5883\u914d\u7f6e\u7ecf\u9a8c\u7684\u7528\u6237\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u6b65\u9aa4\uff0c\u57fa\u4e8e Windows \u548c Linux \u7cfb\u7edf\uff0c\u53c2\u8003\u5b98\u65b9 GitHub \u9875\u9762\u548c\u7f51\u7edc\u8d44\u6e90\u3002<\/p>\n<h4>\u73af\u5883\u8981\u6c42<\/h4>\n<ul>\n<li><strong>\u64cd\u4f5c\u7cfb\u7edf<\/strong>\uff1aLinux \u6216 Windows\u3002<\/li>\n<li><strong>GPU<\/strong>\uff1aNVIDIA RTX 30XX\/40XX\/50XX \u7cfb\u5217\uff0c\u652f\u6301 fp16 \u548c bf16\uff08GTX 10XX\/20XX \u672a\u6d4b\u8bd5\uff09\u3002<\/li>\n<li><strong>\u663e\u5b58<\/strong>\uff1a\u6700\u4f4e 6GB\uff08\u751f\u6210 60 \u79d2 30fps \u89c6\u9891\uff09\u3002<\/li>\n<li><strong>Python \u7248\u672c<\/strong>\uff1a\u63a8\u8350 Python 3.10\uff08\u6ce8\u610f\uff1aPython \u7248\u672c\u9700\u4e25\u683c\u5339\u914d\uff0c\u5426\u5219\u53ef\u80fd\u5bfc\u81f4\u5e93\u4e0d\u517c\u5bb9\uff09\u3002<\/li>\n<li><strong>CUDA<\/strong>\uff1a\u9700\u5b89\u88c5\u4e0e GPU \u517c\u5bb9\u7684 CUDA \u7248\u672c\uff08\u5982 CUDA 12.6\uff09\u3002<\/li>\n<\/ul>\n<h4>\u5b89\u88c5\u6b65\u9aa4<\/h4>\n<ol>\n<li><strong>\u514b\u9686 FramePack \u4ed3\u5e93<\/strong><br \/>\n\u6253\u5f00\u7ec8\u7aef\u6216\u547d\u4ee4\u63d0\u793a\u7b26\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u514b\u9686\u9879\u76ee\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/lllyasviel\/FramePack.git\r\ncd FramePack\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u521b\u5efa\u865a\u62df\u73af\u5883<\/strong><br \/>\n\u4e3a\u907f\u514d\u4f9d\u8d56\u51b2\u7a81\uff0c\u5efa\u8bae\u521b\u5efa Python \u865a\u62df\u73af\u5883\uff1a<\/p>\n<pre><code>python -m venv venv\r\n<\/code><\/pre>\n<p>\u6fc0\u6d3b\u865a\u62df\u73af\u5883\uff1a<\/p>\n<ul>\n<li>Windows\uff1a<code>venv\\Scripts\\activate.bat<\/code><\/li>\n<li>Linux\uff1a<code>source venv\/bin\/activate<\/code><\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5b89\u88c5 PyTorch \u548c\u4f9d\u8d56<\/strong><br \/>\n\u5b89\u88c5\u4e0e CUDA \u7248\u672c\u5339\u914d\u7684 PyTorch\uff08\u4ee5 CUDA 12.6 \u4e3a\u4f8b\uff09\uff1a<\/p>\n<pre><code>pip install torch torchvision torchaudio --index-url https:\/\/download.pytorch.org\/whl\/cu126\r\n<\/code><\/pre>\n<p>\u5b89\u88c5\u9879\u76ee\u4f9d\u8d56\uff1a<\/p>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\uff08\u53ef\u9009\uff09\u5b89\u88c5 Sage Attention \u6216 Flash Attention<\/strong><br \/>\n\u4e3a\u63d0\u5347\u6027\u80fd\uff0c\u53ef\u5b89\u88c5 Sage Attention\uff08\u9700\u6839\u636e CUDA \u548c Python \u7248\u672c\u9009\u62e9\u6b63\u786e wheel \u6587\u4ef6\uff09\uff1a<\/p>\n<pre><code>pip install https:\/\/github.com\/woct0rdho\/SageAttention\/releases\/download\/v2.1.1-windows\/sageattention-2.1.1+cu126torch2.6.0-cp312-cp312-win_amd64.whl\r\n<\/code><\/pre>\n<p>\u6ce8\u610f\uff1aSage Attention \u53ef\u80fd\u7565\u5fae\u5f71\u54cd\u751f\u6210\u8d28\u91cf\uff0c\u521d\u6b21\u4f7f\u7528\u53ef\u8df3\u8fc7\u3002<\/li>\n<li><strong>\u542f\u52a8 Gradio \u754c\u9762<\/strong><br \/>\n\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u542f\u52a8\u754c\u9762\uff1a<\/p>\n<pre><code>python demo_gradio.py\r\n<\/code><\/pre>\n<p>\u542f\u52a8\u540e\uff0c\u7ec8\u7aef\u4f1a\u663e\u793a\u7c7b\u4f3c\u00a0<code>http:\/\/127.0.0.1:7860\/<\/code>\u00a0\u7684 URL\u3002\u4f7f\u7528\u6d4f\u89c8\u5668\u8bbf\u95ee\u8be5\u5730\u5740\u5373\u53ef\u8fdb\u5165 FramePack \u7684 Gradio \u754c\u9762\u3002<\/li>\n<\/ol>\n<h4>\u5e38\u89c1\u5b89\u88c5\u95ee\u9898<\/h4>\n<ul>\n<li><strong>Python \u7248\u672c\u4e0d\u5339\u914d<\/strong>\uff1a\u82e5\u4f9d\u8d56\u5b89\u88c5\u5931\u8d25\uff0c\u68c0\u67e5 Python \u7248\u672c\u662f\u5426\u4e3a 3.10\u3002\u4f7f\u7528\u00a0<code>python --version<\/code>\u00a0\u67e5\u770b\u5f53\u524d\u7248\u672c\u3002<\/li>\n<li><strong>\u4f9d\u8d56\u51b2\u7a81<\/strong>\uff1a\u82e5\u00a0<code>requirements.txt<\/code>\u00a0\u4e2d\u7684\u5e93\u7248\u672c\u4e0d\u517c\u5bb9\uff0c\u53ef\u5220\u9664\u00a0<code>av<\/code>\u3001<code>numpy<\/code>\u3001<code>scipy<\/code>\u00a0\u7684\u7248\u672c\u6307\u5b9a\uff0c\u91cd\u65b0\u5b89\u88c5\u6700\u65b0\u7248\u672c\uff1a\n<pre><code>pip install av numpy scipy\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u663e\u5b58\u4e0d\u8db3<\/strong>\uff1a\u82e5\u663e\u5b58\u4f4e\u4e8e 6GB\uff0c\u751f\u6210\u53ef\u80fd\u5931\u8d25\u3002\u5efa\u8bae\u4f7f\u7528\u66f4\u9ad8\u663e\u5b58\u7684 GPU \u6216\u7f29\u77ed\u89c6\u9891\u957f\u5ea6\u3002<\/li>\n<\/ul>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>FramePack \u7684\u6838\u5fc3\u529f\u80fd\u662f\u4ece\u5355\u5f20\u56fe\u50cf\u751f\u6210\u89c6\u9891\uff0c\u5e76\u652f\u6301\u901a\u8fc7\u63d0\u793a\u8bcd\u63a7\u5236\u89c6\u9891\u5185\u5bb9\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u64cd\u4f5c\u6d41\u7a0b\u3002<\/p>\n<h4>1. \u8bbf\u95ee Gradio \u754c\u9762<\/h4>\n<p>\u542f\u52a8\u00a0<code>demo_gradio.py<\/code>\u00a0\u540e\uff0c\u6d4f\u89c8\u5668\u4f1a\u663e\u793a FramePack \u7684\u7528\u6237\u754c\u9762\u3002\u754c\u9762\u5206\u4e3a\u5de6\u53f3\u4e24\u90e8\u5206\uff1a<\/p>\n<ul>\n<li>\u5de6\u4fa7\uff1a\u4e0a\u4f20\u56fe\u50cf\u548c\u8f93\u5165\u63d0\u793a\u8bcd\u3002<\/li>\n<li>\u53f3\u4fa7\uff1a\u663e\u793a\u751f\u6210\u7684\u89c6\u9891\u548c\u6f5c\u5728\u9884\u89c8\uff08latent preview\uff09\u3002<\/li>\n<\/ul>\n<h4>2. \u4e0a\u4f20\u56fe\u50cf<\/h4>\n<p>\u70b9\u51fb\u5de6\u4fa7\u7684\u56fe\u50cf\u4e0a\u4f20\u533a\u57df\uff0c\u9009\u62e9\u4e00\u5f20\u672c\u5730\u56fe\u50cf\uff08\u5efa\u8bae\u5206\u8fa8\u7387\u4e3a 544&#215;704 \u6216\u7c7b\u4f3c\u5c3a\u5bf8\uff09\u3002FramePack \u4f1a\u57fa\u4e8e\u6b64\u56fe\u50cf\u751f\u6210\u89c6\u9891\u5185\u5bb9\u3002<\/p>\n<h4>3. \u8f93\u5165\u63d0\u793a\u8bcd<\/h4>\n<p>\u5728\u63d0\u793a\u8bcd\u6587\u672c\u6846\u4e2d\u8f93\u5165\u63cf\u8ff0\u89c6\u9891\u52a8\u4f5c\u7684\u77ed\u53e5\u3002\u63a8\u8350\u4f7f\u7528\u7b80\u6d01\u3001\u52a8\u4f5c\u5bfc\u5411\u7684\u63d0\u793a\u8bcd\uff0c\u4f8b\u5982\uff1a<\/p>\n<ul>\n<li><code>The girl dances gracefully, with clear movements, full of charm.<\/code><\/li>\n<li><code>A robot jumps energetically, spinning in a futuristic city.<\/code><br \/>\nFramePack \u5b98\u65b9\u5efa\u8bae\u901a\u8fc7 GPT \u751f\u6210\u52a8\u4f5c\u63d0\u793a\u8bcd\uff0c\u683c\u5f0f\u4e3a\uff1a<\/li>\n<\/ul>\n<p>You are an assistant that writes short, motion-focused prompts for animating images. When the user sends an image, respond with a single, concise prompt describing visual motion.<\/p>\n<h4>4. \u751f\u6210\u89c6\u9891<\/h4>\n<p>\u70b9\u51fb\u754c\u9762\u4e2d\u7684\u751f\u6210\u6309\u94ae\uff0cFramePack \u4f1a\u5f00\u59cb\u5904\u7406\u3002\u751f\u6210\u8fc7\u7a0b\u5206\u6bb5\u8fdb\u884c\uff0c\u6bcf\u6bb5\u751f\u6210\u7ea6 1 \u79d2\u89c6\u9891\uff0c\u9010\u6b65\u62fc\u63a5\u6210\u5b8c\u6574\u89c6\u9891\u3002\u751f\u6210\u8fdb\u5ea6\u901a\u8fc7\u8fdb\u5ea6\u6761\u548c\u6f5c\u5728\u9884\u89c8\u663e\u793a\u3002\u751f\u6210\u7684\u6587\u4ef6\u4fdd\u5b58\u5728\u00a0<code>.\/outputs\/<\/code>\u00a0\u6587\u4ef6\u5939\u4e2d\u3002<\/p>\n<h4>5. \u67e5\u770b\u548c\u8c03\u6574<\/h4>\n<p>\u751f\u6210\u521d\u671f\u53ef\u80fd\u53ea\u5f97\u5230\u77ed\u89c6\u9891\uff08\u5982 1 \u79d2\uff09\u3002\u8fd9\u662f\u6b63\u5e38\u73b0\u8c61\uff0c\u9700\u7b49\u5f85\u66f4\u591a\u7247\u6bb5\u751f\u6210\u4ee5\u5b8c\u6210\u5b8c\u6574\u89c6\u9891\u3002\u82e5\u5bf9\u7ed3\u679c\u4e0d\u6ee1\u610f\uff0c\u53ef\u8c03\u6574\u63d0\u793a\u8bcd\u6216\u66f4\u6362\u8f93\u5165\u56fe\u50cf\u91cd\u65b0\u751f\u6210\u3002<\/p>\n<h4>\u4f18\u5316\u751f\u6210\u901f\u5ea6<\/h4>\n<ul>\n<li>\u542f\u7528\u00a0<strong>teacache<\/strong>\uff1a\u5728\u751f\u6210\u8bbe\u7f6e\u4e2d\u5f00\u542f teacache \u53ef\u5c06\u901f\u5ea6\u4ece 2.5 \u79d2\/\u5e27\u63d0\u5347\u81f3 1.5 \u79d2\/\u5e27\u3002<\/li>\n<li>\u4f7f\u7528\u9ad8\u6027\u80fd GPU\uff1a\u5982 NVIDIA 4090\uff0c\u751f\u6210\u901f\u5ea6\u66f4\u5feb\u3002<\/li>\n<li>\u5173\u95ed sage-attention\uff1a\u82e5\u5b89\u88c5\u4e86 sage-attention\uff0c\u521d\u6b21\u6d4b\u8bd5\u53ef\u7981\u7528\u4ee5\u4fdd\u8bc1\u751f\u6210\u8d28\u91cf\u3002<\/li>\n<\/ul>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<h4>\u4f4e\u663e\u5b58\u751f\u6210<\/h4>\n<p>FramePack \u7684\u6838\u5fc3\u4f18\u52bf\u662f\u4f4e\u663e\u5b58\u9700\u6c42\u3002\u901a\u8fc7\u538b\u7f29\u8f93\u5165\u4e0a\u4e0b\u6587\uff0c\u751f\u6210 60 \u79d2 30fps \u89c6\u9891\u4ec5\u9700 6GB \u663e\u5b58\u3002\u7528\u6237\u65e0\u9700\u989d\u5916\u914d\u7f6e\uff0c\u7cfb\u7edf\u81ea\u52a8\u4f18\u5316\u663e\u5b58\u5206\u914d\u3002<\/p>\n<h4>\u4e0b\u4e00\u5e27\u9884\u6d4b<\/h4>\n<p>FramePack \u4f7f\u7528\u4e0b\u4e00\u5e27\u9884\u6d4b\u795e\u7ecf\u7f51\u7edc\uff0c\u9010\u5e27\u751f\u6210\u89c6\u9891\u3002\u7528\u6237\u53ef\u5728 Gradio \u754c\u9762\u5b9e\u65f6\u67e5\u770b\u6bcf\u6bb5\u751f\u6210\u7684\u6f5c\u5728\u9884\u89c8\uff0c\u786e\u4fdd\u89c6\u9891\u5185\u5bb9\u7b26\u5408\u9884\u671f\u3002<\/p>\n<h4>Gradio \u754c\u9762<\/h4>\n<p>Gradio \u754c\u9762\u7b80\u5355\u76f4\u89c2\uff0c\u652f\u6301\u5feb\u901f\u4e0a\u4f20\u548c\u9884\u89c8\u3002\u7528\u6237\u53ef\u901a\u8fc7\u00a0<code>--share<\/code>\u00a0\u53c2\u6570\u5c06\u754c\u9762\u5206\u4eab\u5230\u516c\u7f51\uff0c\u6216\u901a\u8fc7\u00a0<code>--port<\/code>\u00a0\u548c\u00a0<code>--server<\/code>\u00a0\u53c2\u6570\u81ea\u5b9a\u4e49\u7aef\u53e3\u548c\u670d\u52a1\u5668\u5730\u5740\uff1a<\/p>\n<pre><code>python demo_gradio.py --share --port 7861 --server 0.0.0.0\r\n<\/code><\/pre>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u5185\u5bb9\u521b\u4f5c<\/strong><br \/>\nFramePack \u9002\u5408\u89c6\u9891\u521b\u4f5c\u8005\u751f\u6210\u52a8\u6001\u77ed\u89c6\u9891\u3002\u4f8b\u5982\uff0c\u4ece\u4e00\u5f20\u89d2\u8272\u56fe\u50cf\u751f\u6210\u821e\u8e48\u89c6\u9891\uff0c\u7528\u4e8e\u793e\u4ea4\u5a92\u4f53\u5185\u5bb9\u5236\u4f5c\u3002\u4f4e\u663e\u5b58\u9700\u6c42\u8ba9\u666e\u901a\u7528\u6237\u4e5f\u80fd\u8f7b\u677e\u4e0a\u624b\u3002<\/li>\n<li><strong>\u6e38\u620f\u5f00\u53d1<\/strong><br \/>\n\u5f00\u53d1\u8005\u53ef\u5229\u7528 FramePack \u751f\u6210\u52a8\u6001\u573a\u666f\u52a8\u753b\uff0c\u5982\u89d2\u8272\u79fb\u52a8\u6216\u73af\u5883\u53d8\u5316\uff0c\u8282\u7701\u624b\u52a8\u5efa\u6a21\u65f6\u95f4\u3002\u8f7b\u91cf\u5316\u6a21\u578b\u652f\u6301\u5b9e\u65f6\u6e32\u67d3\u53ef\u80fd\u6027\u3002<\/li>\n<li><strong>\u6559\u80b2\u548c\u6f14\u793a<\/strong><br \/>\n\u6559\u5e08\u6216\u57f9\u8bad\u5e08\u53ef\u4ece\u9759\u6001\u56fe\u50cf\u751f\u6210\u6559\u5b66\u89c6\u9891\uff0c\u5c55\u793a\u52a8\u6001\u8fc7\u7a0b\uff08\u5982\u79d1\u5b66\u5b9e\u9a8c\u6a21\u62df\uff09\u3002Gradio \u754c\u9762\u64cd\u4f5c\u7b80\u5355\uff0c\u9002\u5408\u975e\u6280\u672f\u7528\u6237\u3002<\/li>\n<li><strong>\u8fb9\u7f18\u8ba1\u7b97<\/strong><br \/>\nFramePack \u7684 13 \u4ebf\u53c2\u6570\u6a21\u578b\u9002\u5408\u90e8\u7f72\u5230\u8fb9\u7f18\u8bbe\u5907\uff0c\u5982\u79fb\u52a8\u8bbe\u5907\u6216\u5d4c\u5165\u5f0f\u7cfb\u7edf\uff0c\u7528\u4e8e\u672c\u5730\u5316\u89c6\u9891\u751f\u6210\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>FramePack \u652f\u6301\u54ea\u4e9b GPU\uff1f<\/strong><br \/>\n\u652f\u6301 NVIDIA RTX 30XX\u300140XX\u300150XX \u7cfb\u5217 GPU\uff0c\u6700\u4f4e 6GB \u663e\u5b58\u3002GTX 10XX\/20XX \u672a\u6d4b\u8bd5\uff0c\u53ef\u80fd\u4e0d\u517c\u5bb9\u3002<\/li>\n<li><strong>\u751f\u6210\u89c6\u9891\u9700\u8981\u591a\u957f\u65f6\u95f4\uff1f<\/strong><br \/>\n\u5728 NVIDIA 4090 \u4e0a\uff0c\u672a\u4f18\u5316\u65f6\u4e3a 2.5 \u79d2\/\u5e27\uff0c\u542f\u7528 teacache \u540e\u4e3a 1.5 \u79d2\/\u5e27\u3002\u751f\u6210 5 \u79d2\u89c6\u9891\u7ea6\u9700 3-4 \u5206\u949f\u3002<\/li>\n<li><strong>\u5982\u4f55\u63d0\u9ad8\u751f\u6210\u8d28\u91cf\uff1f<\/strong><br \/>\n\u4f7f\u7528\u9ad8\u8d28\u91cf\u8f93\u5165\u56fe\u50cf\uff0c\u7f16\u5199\u6e05\u6670\u7684\u52a8\u4f5c\u63d0\u793a\u8bcd\uff0c\u7981\u7528 sage-attention \u5e76\u5173\u95ed teacache \u4ee5\u8fdb\u884c\u6700\u7ec8\u9ad8\u8d28\u91cf\u751f\u6210\u3002<\/li>\n<li><strong>\u80fd\u5426\u751f\u6210\u8d85\u957f\u89c6\u9891\uff1f<\/strong><br \/>\n\u53ef\u4ee5\uff0cFramePack \u652f\u6301\u751f\u6210\u4e0a\u5343\u5e27\u89c6\u9891\uff08\u5982 60 \u79d2 30fps\uff09\u3002\u663e\u5b58\u9700\u6c42\u56fa\u5b9a\uff0c\u4e0d\u4f1a\u56e0\u89c6\u9891\u957f\u5ea6\u589e\u52a0\u3002<\/li>\n<\/ol>\n\n<div id=\"J_MPDLCont\" class=\"magicpost-cont-wp\">\n  <div class=\"magicpost-cont-inner\">\n    <div class=\"magicpost-cont-hd\">\n      <svg class=\"wb-icon-magicpost wbsico-magicpost-local\">\n        <use xlink:href=\"#wbsico-magicpost-local\"><\/use>\n      <\/svg> <span>\u76f8\u5173\u6587\u4ef6\u4e0b\u8f7d\u5730\u5740<\/span>\n    <\/div>\n\n    <div class=\"magicpost-cont-bd\">\n                <div class=\"wb-tips\">\u8be5\u8d44\u6e90\u9700\u767b\u5f55\u540e\u4e0b\u8f7d\uff0c\u53bb<a class=\"link\" href=\"https:\/\/www.kdjingpai.com\/wp-login.php?redirect_to=https%3A%2F%2Fwww.kdjingpai.com%2Fja%2Fframepack%2F\">\u767b\u5f55<\/a><\/div>\n\n            <\/div>\n\n    <div class=\"magicpost-cont-ft\">\n      &copy;\u4e0b\u8f7d\u8d44\u6e90\u7248\u6743\u5f52\u4f5c\u8005\u6240\u6709\uff1b\u672c\u7ad9\u6240\u6709\u8d44\u6e90\u5747\u6765\u6e90\u4e8e\u7f51\u7edc\uff0c\u4ec5\u4f9b\u5b66\u4e60\u4f7f\u7528\uff0c\u8bf7\u652f\u6301\u6b63\u7248\uff01    <\/div>\n  <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>FramePack \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u89c6\u9891\u751f\u6210\u5de5\u5177\uff0c\u4e13\u6ce8\u4e8e\u8ba9\u89c6\u9891\u6269\u6563\u6280\u672f\u66f4\u5b9e\u7528\u3002\u5b83\u901a\u8fc7\u72ec\u7279\u7684\u4e0b\u4e00\u5e27\u9884\u6d4b\u795e\u7ecf\u7f51\u7edc\uff0c\u5c06\u8f93\u5165\u5e27\u538b\u7f29\u5230\u56fa\u5b9a\u957f\u5ea6\uff0c\u4f7f\u751f\u6210\u5de5\u4f5c\u91cf\u4e0e\u89c6\u9891\u957f\u5ea6\u89e3\u8026\u3002\u8fd9\u610f\u5473\u7740\u5373\u4f7f\u751f\u6210\u957f\u89c6\u9891\uff0c\u663e\u5b58\u9700\u6c42\u4e5f\u4e0d\u4f1a\u663e\u8457\u589e\u52a0\u3002FramePack \u6700\u4f4e\u53ea\u9700 6G&#8230;<\/p>\n","protected":false},"author":1,"featured_media":62274,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[195,230],"class_list":["post-30535","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aituxiangzhuanshipin","tag-aikaiyuanxiangmu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/30535","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/comments?post=30535"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/30535\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media\/62274"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media?parent=30535"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/categories?post=30535"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/tags?post=30535"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}