{"id":31682,"date":"2025-05-23T14:53:59","date_gmt":"2025-05-23T06:53:59","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=31682"},"modified":"2025-05-23T14:53:59","modified_gmt":"2025-05-23T06:53:59","slug":"moviigen11","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/de\/moviigen11\/","title":{"rendered":"MoviiGen1.1"},"content":{"rendered":"<p>MoviiGen1.1 \u662f\u7531 ZuluVision \u5f00\u53d1\u7684\u4e00\u6b3e\u5f00\u6e90\u4eba\u5de5\u667a\u80fd\u5de5\u5177\uff0c\u4e13\u6ce8\u4e8e\u4ece\u6587\u672c\u751f\u6210\u9ad8\u8d28\u91cf\u89c6\u9891\u3002\u5b83\u652f\u6301 720P \u548c 1080P \u5206\u8fa8\u7387\uff0c\u7279\u522b\u9002\u5408\u9700\u8981\u7535\u5f71\u7ea7\u89c6\u89c9\u6548\u679c\u7684\u4e13\u4e1a\u89c6\u9891\u5236\u4f5c\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u6587\u672c\u63cf\u8ff0\u751f\u6210\u5177\u6709\u81ea\u7136\u52a8\u6001\u548c\u4e00\u81f4\u7f8e\u611f\u7684\u89c6\u9891\u3002MoviiGen1.1 \u63d0\u4f9b\u6a21\u578b\u6743\u91cd\u548c\u63a8\u7406\u4ee3\u7801\uff0c\u57fa\u4e8e PyTorch \u6846\u67b6\uff0c\u6613\u4e8e\u90e8\u7f72\u548c\u4f7f\u7528\u3002\u5b83\u7684\u5f00\u653e\u6027\u548c\u9ad8\u6027\u80fd\u4f7f\u5176\u6210\u4e3a\u89c6\u9891\u521b\u4f5c\u8005\u548c\u5f00\u53d1\u8005\u7684\u7406\u60f3\u9009\u62e9\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5f71\u89c6\u5236\u4f5c\u3001\u5e7f\u544a\u548c\u521b\u610f\u5185\u5bb9\u751f\u6210\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u652f\u6301 720P \u548c 1080P \u9ad8\u5206\u8fa8\u7387\u89c6\u9891\u751f\u6210\uff0c\u63a8\u8350 1080P \u548c 21:9 \u5bbd\u9ad8\u6bd4 (1920&#215;832) \u4ee5\u83b7\u5f97\u7535\u5f71\u7ea7\u6548\u679c\u3002<\/li>\n<li>\u63d0\u4f9b\u6587\u672c\u8f6c\u89c6\u9891\u529f\u80fd\uff0c\u901a\u8fc7\u63cf\u8ff0\u573a\u666f\u3001\u4e3b\u4f53\u548c\u52a8\u4f5c\u751f\u6210\u9ad8\u8d28\u91cf\u89c6\u9891\u3002<\/li>\n<li>\u5305\u542b\u63d0\u793a\u8bcd\u6269\u5c55\u6a21\u578b\uff0c\u57fa\u4e8e Qwen2.5-7B-Instruct \u5fae\u8c03\uff0c\u63d0\u5347\u6587\u672c\u63cf\u8ff0\u7684\u7ec6\u8282\u548c\u751f\u6210\u6548\u679c\u3002<\/li>\n<li>\u5f00\u6e90\u6a21\u578b\u6743\u91cd\u548c\u63a8\u7406\u4ee3\u7801\uff0c\u652f\u6301\u672c\u5730\u90e8\u7f72\u548c\u5b9a\u5236\u5316\u5f00\u53d1\u3002<\/li>\n<li>\u652f\u6301\u4e13\u4e1a\u7ea7\u89c6\u9891\u751f\u6210\uff0c\u9002\u5408\u5f71\u89c6\u5236\u4f5c\u3001\u5e7f\u544a\u548c\u521b\u610f\u5185\u5bb9\u521b\u4f5c\u3002<\/li>\n<li>\u63d0\u4f9b FastVideo \u63d2\u4ef6\u652f\u6301\uff0c\u4f18\u5316\u89c6\u9891\u751f\u6210\u6027\u80fd\u3002<\/li>\n<li>\u517c\u5bb9 PyTorch 2.4.0 \u53ca\u4ee5\u4e0a\u7248\u672c\uff0c\u6613\u4e8e\u96c6\u6210\u5230\u73b0\u6709\u5f00\u53d1\u73af\u5883\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>\u8981\u4f7f\u7528 MoviiGen1.1\uff0c\u7528\u6237\u9700\u5148\u5b8c\u6210\u73af\u5883\u914d\u7f6e\u548c\u6a21\u578b\u5b89\u88c5\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u514b\u9686\u4ed3\u5e93<\/strong><br \/>\n\u5728\u7ec8\u7aef\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff0c\u83b7\u53d6 MoviiGen1.1 \u6e90\u7801\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/ZulutionAI\/MoviiGen1.1.git\r\ncd MoviiGen1.1\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u786e\u4fdd\u7cfb\u7edf\u5df2\u5b89\u88c5 Python 3.10 \u53ca\u4ee5\u4e0a\u7248\u672c\uff0c\u5e76\u5b89\u88c5 PyTorch 2.4.0 \u6216\u66f4\u9ad8\u7248\u672c\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u4f9d\u8d56\uff1a<\/p>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<p>\u6b64\u5916\uff0c\u9700\u6839\u636e\u5b98\u65b9\u6307\u5f15\u5b89\u88c5 FastVideo \u63d2\u4ef6\uff0c\u5177\u4f53\u8bf4\u660e\u53ef\u5728 FastVideo \u7684 GitHub \u9875\u9762\u627e\u5230\u3002<\/li>\n<li><strong>\u4e0b\u8f7d\u6a21\u578b<\/strong><br \/>\nMoviiGen1.1 \u6a21\u578b\u6258\u7ba1\u5728 Hugging Face \u4e0a\u3002\u4f7f\u7528\u00a0<code>huggingface-cli<\/code>\u00a0\u4e0b\u8f7d\u6a21\u578b\u6587\u4ef6\uff1a<\/p>\n<pre><code>pip install \"huggingface_hub[cli]\"\r\nhuggingface-cli download ZuluVision\/MoviiGen1.1 --local-dir .\/MoviiGen1.1\r\n<\/code><\/pre>\n<p>\u6a21\u578b\u652f\u6301 T2V-14B \u67b6\u6784\uff0c\u4e0b\u8f7d\u540e\u4f1a\u5b58\u50a8\u5728\u00a0<code>.\/MoviiGen1.1<\/code>\u00a0\u76ee\u5f55\u4e2d\u3002<\/li>\n<li><strong>\u9a8c\u8bc1\u73af\u5883<\/strong><br \/>\n\u786e\u4fdd GPU \u786c\u4ef6\u652f\u6301\uff08\u63a8\u8350 20GB \u4ee5\u4e0a\u663e\u5b58\u4ee5\u751f\u6210 1080P \u89c6\u9891\uff09\u3002\u68c0\u67e5 PyTorch \u662f\u5426\u6b63\u786e\u8bc6\u522b GPU\uff1a<\/p>\n<pre><code>python -c \"import torch; print(torch.cuda.is_available())\"\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\u00a0<code>True<\/code>\u00a0\u8868\u793a\u73af\u5883\u914d\u7f6e\u6210\u529f\u3002<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>MoviiGen1.1 \u7684\u6838\u5fc3\u529f\u80fd\u662f\u901a\u8fc7\u6587\u672c\u63d0\u793a\u8bcd\u751f\u6210\u89c6\u9891\u3002\u4ee5\u4e0b\u662f\u5177\u4f53\u64cd\u4f5c\u6d41\u7a0b\uff1a<\/p>\n<h4>1. \u57fa\u672c\u89c6\u9891\u751f\u6210<\/h4>\n<p>\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u8fd0\u884c\u63a8\u7406\u811a\u672c\u751f\u6210\u89c6\u9891\u3002\u793a\u4f8b\u547d\u4ee4\uff1a<\/p>\n<pre><code>PYTHONPATH=. python scripts\/inference\/generate.py --ckpt_dir .\/MoviiGen1.1 --prompt \"\u4e00\u4e2a\u7a7f\u7ea2\u88d9\u7684\u5973\u5b50\u5728\u8857\u5934\u6f2b\u6b65\uff0c\u80cc\u666f\u662f\u7e41\u5fd9\u7684\u90fd\u5e02\u8857\u9053\uff0c\u9633\u5149\u6d12\u5728\u5730\u9762\uff0c\u955c\u5934\u7f13\u6162\u79fb\u52a8\uff0c\u5c55\u73b0\u660e\u4eae\u8272\u5f69\u3002\"\r\n<\/code><\/pre>\n<ul>\n<li><code>--ckpt_dir<\/code>\uff1a\u6307\u5b9a\u6a21\u578b\u6587\u4ef6\u8def\u5f84\u3002<\/li>\n<li><code>--prompt<\/code>\uff1a\u8f93\u5165\u63cf\u8ff0\u573a\u666f\u7684\u6587\u672c\uff0c\u5efa\u8bae 100-200 \u5b57\uff0c\u5305\u542b\u573a\u666f\u3001\u4e3b\u4f53\u3001\u52a8\u4f5c\u3001\u5ba1\u7f8e\u98ce\u683c\u548c\u955c\u5934\u79fb\u52a8\u3002<\/li>\n<\/ul>\n<h4>2. \u4f7f\u7528\u63d0\u793a\u8bcd\u6269\u5c55\u6a21\u578b<\/h4>\n<p>MoviiGen1.1 \u63d0\u4f9b\u57fa\u4e8e Qwen2.5-7B-Instruct \u5fae\u8c03\u7684\u63d0\u793a\u8bcd\u6269\u5c55\u6a21\u578b\uff0c\u589e\u5f3a\u6587\u672c\u63cf\u8ff0\u7684\u7ec6\u8282\u3002\u542f\u7528\u8be5\u529f\u80fd\uff1a<\/p>\n<pre><code>PYTHONPATH=. python scripts\/inference\/generate.py --ckpt_dir .\/MoviiGen1.1 --prompt \"\u4e00\u4e2a\u7a7f\u7ea2\u88d9\u7684\u5973\u5b50\u5728\u8857\u5934\u6f2b\u6b65\u3002\" --use_prompt_extend --prompt_extend_model ZuluVision\/MoviiGen1.1_Prompt_Rewriter\r\n<\/code><\/pre>\n<p>\u63d0\u793a\u8bcd\u6269\u5c55\u4f1a\u81ea\u52a8\u4e30\u5bcc\u63cf\u8ff0\uff0c\u4f8b\u5982\u8865\u5145\u573a\u666f\u7ec6\u8282\u3001\u5149\u5f71\u6548\u679c\u7b49\uff0c\u63d0\u5347\u751f\u6210\u89c6\u9891\u7684\u8d28\u91cf\u3002<\/p>\n<h4>3. \u63a8\u8350\u63d0\u793a\u8bcd\u683c\u5f0f<\/h4>\n<p>\u4e3a\u83b7\u5f97\u6700\u4f73\u6548\u679c\uff0c\u63d0\u793a\u8bcd\u9700\u5305\u542b\u4ee5\u4e0b\u5143\u7d20\uff1a<\/p>\n<ul>\n<li><strong>\u573a\u666f\u63cf\u8ff0<\/strong>\uff1a\u5982\u201c\u70df\u96fe\u5f25\u6f2b\u7684\u4fa6\u63a2\u529e\u516c\u5ba4\uff0c\u767e\u53f6\u7a97\u6295\u4e0b\u9510\u5229\u9634\u5f71\u201d\u3002<\/li>\n<li><strong>\u4e3b\u4f53<\/strong>\uff1a\u5982\u201c\u75b2\u60eb\u7684\u4fa6\u63a2\u5750\u5728\u684c\u540e\u201d\u3002<\/li>\n<li><strong>\u52a8\u4f5c<\/strong>\uff1a\u5982\u201c\u70b9\u71c3\u9999\u70df\uff0c\u5410\u51fa\u4e00\u7f15\u70df\u96fe\u201d\u3002<\/li>\n<li><strong>\u5ba1\u7f8e\u98ce\u683c<\/strong>\uff1a\u5982\u201c\u9ed1\u767d\u9ad8\u5bf9\u6bd4\u5ea6\uff0c1940\u5e74\u4ee3\u9ed1\u8272\u7535\u5f71\u98ce\u683c\u201d\u3002<\/li>\n<li><strong>\u955c\u5934\u79fb\u52a8<\/strong>\uff1a\u5982\u201c\u9759\u6001\u4e2d\u666f\u955c\u5934\uff0c\u805a\u7126\u4fa6\u63a2\u201d\u3002<br \/>\n\u793a\u4f8b\u63d0\u793a\u8bcd\uff1a<\/li>\n<\/ul>\n<p>\u5728\u70df\u96fe\u5f25\u6f2b\u7684\u4fa6\u63a2\u529e\u516c\u5ba4\uff0c\u767e\u53f6\u7a97\u6295\u4e0b\u9510\u5229\u9634\u5f71\uff0c\u75b2\u60eb\u7684\u4fa6\u63a2\u5750\u5728\u684c\u540e\uff0c\u70b9\u71c3\u9999\u70df\uff0c\u5410\u51fa\u4e00\u7f15\u70df\u96fe\u3002\u753b\u9762\u4e3a\u9ed1\u767d\u9ad8\u5bf9\u6bd4\u5ea6\uff0c\u5448\u73b01940\u5e74\u4ee3\u9ed1\u8272\u7535\u5f71\u98ce\u683c\uff0c\u955c\u5934\u4e3a\u9759\u6001\u4e2d\u666f\uff0c\u805a\u7126\u4fa6\u63a2\uff0c\u8425\u9020\u538b\u6291\u6c1b\u56f4\u3002<\/p>\n<h4>4. \u8f93\u51fa\u8bbe\u7f6e<\/h4>\n<ul>\n<li><strong>\u5206\u8fa8\u7387<\/strong>\uff1a\u9ed8\u8ba4\u652f\u6301 720P \u548c 1080P\uff0c\u63a8\u8350 1080P\uff081920&#215;832\uff09\u4ee5\u83b7\u5f97\u7535\u5f71\u7ea7\u6548\u679c\u3002<\/li>\n<li><strong>\u751f\u6210\u65f6\u957f<\/strong>\uff1a\u751f\u6210 1080P \u89c6\u9891\u9700\u8f83\u957f\u65f6\u95f4\uff0c\u5efa\u8bae\u4f7f\u7528\u9ad8\u6027\u80fd GPU\uff08\u5982 RTX 4090\uff0c20GB \u663e\u5b58\uff09\u3002<\/li>\n<li><strong>\u8f93\u51fa\u8def\u5f84<\/strong>\uff1a\u751f\u6210\u89c6\u9891\u9ed8\u8ba4\u4fdd\u5b58\u5728\u00a0<code>.\/MoviiGen1.1\/output<\/code>\u00a0\u76ee\u5f55\uff0c\u53ef\u5728\u63a8\u7406\u811a\u672c\u4e2d\u6307\u5b9a\u5176\u4ed6\u8def\u5f84\u3002<\/li>\n<\/ul>\n<h4>5. \u4f18\u5316\u6027\u80fd<\/h4>\n<ul>\n<li><strong>FastVideo \u63d2\u4ef6<\/strong>\uff1a\u5b89\u88c5\u540e\u53ef\u52a0\u901f\u89c6\u9891\u751f\u6210\uff0c\u5177\u4f53\u914d\u7f6e\u53c2\u8003 FastVideo \u6587\u6863\u3002<\/li>\n<li><strong>\u663e\u5b58\u4f18\u5316<\/strong>\uff1a\u82e5\u663e\u5b58\u4e0d\u8db3\uff0c\u53ef\u5c1d\u8bd5\u751f\u6210 720P \u89c6\u9891\uff0c\u964d\u4f4e\u5185\u5b58\u9700\u6c42\u3002<\/li>\n<li><strong>\u6279\u91cf\u5904\u7406<\/strong>\uff1a\u652f\u6301\u591a\u63d0\u793a\u8bcd\u6279\u91cf\u751f\u6210\uff0c\u4fee\u6539\u63a8\u7406\u811a\u672c\u4ee5\u5faa\u73af\u5904\u7406\u591a\u4e2a\u63d0\u793a\u8bcd\u3002<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>\u786e\u4fdd\u7f51\u7edc\u8fde\u63a5\u7a33\u5b9a\uff0c\u4ee5\u4e0b\u8f7d\u6a21\u578b\u548c\u4f9d\u8d56\u3002<\/li>\n<li>\u9ad8\u5206\u8fa8\u7387\u89c6\u9891\u751f\u6210\u5bf9\u786c\u4ef6\u8981\u6c42\u8f83\u9ad8\uff0c\u5efa\u8bae\u4f7f\u7528\u9ad8\u6027\u80fd GPU\u3002<\/li>\n<li>\u63d0\u793a\u8bcd\u8d28\u91cf\u76f4\u63a5\u5f71\u54cd\u751f\u6210\u6548\u679c\uff0c\u5efa\u8bae\u591a\u5c1d\u8bd5\u4e0d\u540c\u63cf\u8ff0\u98ce\u683c\u3002<\/li>\n<li>\u5b9a\u671f\u68c0\u67e5 GitHub \u4ed3\u5e93\u66f4\u65b0\uff0c\u83b7\u53d6\u6700\u65b0\u6a21\u578b\u548c\u4ee3\u7801\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u5f71\u89c6\u5236\u4f5c<\/strong><br \/>\nMoviiGen1.1 \u9002\u5408\u751f\u6210\u7535\u5f71\u9884\u544a\u7247\u3001\u77ed\u7247\u6216\u573a\u666f\u7247\u6bb5\u3002\u7528\u6237\u53ef\u901a\u8fc7\u8be6\u7ec6\u7684\u6587\u672c\u63cf\u8ff0\u5feb\u901f\u751f\u6210\u5177\u6709\u4e13\u4e1a\u5149\u5f71\u6548\u679c\u7684\u89c6\u9891\uff0c\u964d\u4f4e\u4f20\u7edf\u62cd\u6444\u6210\u672c\u3002<\/li>\n<li><strong>\u5e7f\u544a\u521b\u610f<\/strong><br \/>\n\u5e7f\u544a\u56e2\u961f\u53ef\u5229\u7528 MoviiGen1.1 \u751f\u6210\u4ea7\u54c1\u5ba3\u4f20\u89c6\u9891\u3002\u4f8b\u5982\uff0c\u8f93\u5165\u63cf\u8ff0\u54c1\u724c\u4ea7\u54c1\u7684\u573a\u666f\u548c\u52a8\u4f5c\uff0c\u5feb\u901f\u751f\u6210\u9ad8\u8d28\u91cf\u5e7f\u544a\u7d20\u6750\uff0c\u8282\u7701\u5236\u4f5c\u65f6\u95f4\u3002<\/li>\n<li><strong>\u6e38\u620f\u5f00\u53d1<\/strong><br \/>\n\u6e38\u620f\u5f00\u53d1\u8005\u53ef\u4f7f\u7528 MoviiGen1.1 \u751f\u6210\u8fc7\u573a\u52a8\u753b\u6216\u73af\u5883\u80cc\u666f\u89c6\u9891\uff0c\u652f\u6301\u9ad8\u5206\u8fa8\u7387\u548c\u5b9a\u5236\u5316\u98ce\u683c\uff0c\u6ee1\u8db3\u6e38\u620f\u53d9\u4e8b\u9700\u6c42\u3002<\/li>\n<li><strong>\u6559\u80b2\u4e0e\u57f9\u8bad<\/strong><br \/>\n\u6559\u80b2\u5de5\u4f5c\u8005\u53ef\u751f\u6210\u6559\u5b66\u89c6\u9891\uff0c\u5c55\u793a\u5386\u53f2\u573a\u666f\u6216\u79d1\u5b66\u5b9e\u9a8c\u7684\u52a8\u6001\u753b\u9762\uff0c\u63d0\u5347\u6559\u5b66\u5185\u5bb9\u7684\u5438\u5f15\u529b\u548c\u76f4\u89c2\u6027\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>MoviiGen1.1 \u662f\u5426\u514d\u8d39\uff1f<\/strong><br \/>\n\u662f\u7684\uff0cMoviiGen1.1 \u662f\u5f00\u6e90\u5de5\u5177\uff0c\u6a21\u578b\u6743\u91cd\u548c\u63a8\u7406\u4ee3\u7801\u514d\u8d39\u63d0\u4f9b\uff0c\u7528\u6237\u53ef\u4ece GitHub \u548c Hugging Face \u4e0b\u8f7d\u4f7f\u7528\u3002<\/li>\n<li><strong>\u751f\u6210 1080P \u89c6\u9891\u9700\u8981\u4ec0\u4e48\u786c\u4ef6\uff1f<\/strong><br \/>\n\u63a8\u8350\u4f7f\u7528\u81f3\u5c11 20GB \u663e\u5b58\u7684 GPU\uff08\u5982 NVIDIA RTX 4090\uff09\u3002\u751f\u6210 720P \u89c6\u9891\u53ef\u7528\u8f83\u4f4e\u914d\u7f6e\uff0c\u4f46\u4ecd\u9700 GPU \u652f\u6301\u3002<\/li>\n<li><strong>\u5982\u4f55\u4f18\u5316\u751f\u6210\u7684\u89c6\u9891\u8d28\u91cf\uff1f<\/strong><br \/>\n\u4f7f\u7528\u8be6\u7ec6\u7684\u63d0\u793a\u8bcd\uff0c\u5305\u542b\u573a\u666f\u3001\u4e3b\u4f53\u3001\u52a8\u4f5c\u548c\u98ce\u683c\u63cf\u8ff0\u3002\u542f\u7528\u63d0\u793a\u8bcd\u6269\u5c55\u6a21\u578b\u53ef\u8fdb\u4e00\u6b65\u63d0\u5347\u7ec6\u8282\u3002\u786e\u4fdd\u786c\u4ef6\u652f\u6301 1080P \u751f\u6210\u4ee5\u83b7\u5f97\u6700\u4f73\u6548\u679c\u3002<\/li>\n<li><strong>\u662f\u5426\u652f\u6301 Windows \u548c Linux\uff1f<\/strong><br \/>\n\u662f\u7684\uff0cMoviiGen1.1 \u652f\u6301 Windows \u548c Linux\uff0c\u53ea\u8981\u5b89\u88c5\u4e86 Python 3.10+ \u548c PyTorch 2.4.0+ \u5373\u53ef\u8fd0\u884c\u3002<\/li>\n<li><strong>\u751f\u6210\u89c6\u9891\u9700\u8981\u591a\u957f\u65f6\u95f4\uff1f<\/strong><br \/>\n\u53d6\u51b3\u4e8e\u786c\u4ef6\u548c\u5206\u8fa8\u7387\u30021080P \u89c6\u9891\u53ef\u80fd\u9700\u8981\u6570\u5206\u949f\u5230\u6570\u5c0f\u65f6\uff0c720P \u8f83\u5feb\u3002\u4f7f\u7528\u9ad8\u6027\u80fd GPU \u548c FastVideo \u63d2\u4ef6\u53ef\u7f29\u77ed\u65f6\u95f4\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>MoviiGen1.1 \u662f\u7531 ZuluVision \u5f00\u53d1\u7684\u4e00\u6b3e\u5f00\u6e90\u4eba\u5de5\u667a\u80fd\u5de5\u5177\uff0c\u4e13\u6ce8\u4e8e\u4ece\u6587\u672c\u751f\u6210\u9ad8\u8d28\u91cf\u89c6\u9891\u3002\u5b83\u652f\u6301 720P \u548c 1080P \u5206\u8fa8\u7387\uff0c\u7279\u522b\u9002\u5408\u9700\u8981\u7535\u5f71\u7ea7\u89c6\u89c9\u6548\u679c\u7684\u4e13\u4e1a\u89c6\u9891\u5236\u4f5c\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u6587\u672c\u63cf\u8ff0\u751f\u6210\u5177\u6709\u81ea\u7136\u52a8\u6001\u548c\u4e00\u81f4&#8230;<\/p>\n","protected":false},"author":1,"featured_media":62341,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[392,399],"tags":[],"class_list":["post-31682","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-models","category-video-generation-model"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts\/31682","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/comments?post=31682"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts\/31682\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/media\/62341"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/media?parent=31682"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/categories?post=31682"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/tags?post=31682"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}