{"id":30510,"date":"2025-04-14T02:10:17","date_gmt":"2025-04-13T18:10:17","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=30510"},"modified":"2025-04-14T02:10:17","modified_gmt":"2025-04-13T18:10:17","slug":"open-sora","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/open-sora\/","title":{"rendered":"Open Sora\uff1a\u4f18\u5316\u8138\u90e8\u4e00\u81f4\u6027\u7684\u5f00\u6e90\u89c6\u9891\u751f\u6210\u5de5\u5177"},"content":{"rendered":"<p>Open-Sora \u662f\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u65e8\u5728\u8ba9\u4efb\u4f55\u4eba\u90fd\u80fd\u9ad8\u6548\u751f\u6210\u9ad8\u8d28\u91cf\u89c6\u9891\u3002\u5b83\u7531 hpcaitech \u56e2\u961f\u5f00\u53d1\uff0c\u63d0\u4f9b\u4ece\u6587\u672c\u6216\u56fe\u50cf\u751f\u6210\u89c6\u9891\u7684\u5de5\u5177\uff0c\u652f\u6301\u591a\u79cd\u5206\u8fa8\u7387\u548c\u65f6\u957f\u3002\u9879\u76ee\u5b8c\u5168\u5f00\u6e90\uff0c\u516c\u5f00\u6a21\u578b\u6743\u91cd\u3001\u4ee3\u7801\u548c\u8bad\u7ec3\u6d41\u7a0b\uff0c\u9f13\u52b1\u793e\u533a\u8d21\u732e\u3002\u6700\u65b0\u7248\u672c Open-Sora 2.0 \u5728\u6027\u80fd\u4e0a\u63a5\u8fd1\u884c\u4e1a\u9876\u5c16\u6a21\u578b\uff0c\u8bad\u7ec3\u6210\u672c\u4ec5 20 \u4e07\u7f8e\u5143\uff0c\u751f\u6210\u89c6\u9891\u901f\u5ea6\u5feb\u4e14\u8d28\u91cf\u9ad8\u3002\u7528\u6237\u53ef\u4ee5\u514d\u8d39\u4e0b\u8f7d\u4ee3\u7801\uff0c\u5728\u672c\u5730\u8fd0\u884c\uff0c\u6216\u901a\u8fc7 Hugging Face \u7684 Gradio \u754c\u9762\u4f53\u9a8c\u3002Open-Sora \u9002\u5408\u521b\u4f5c\u8005\u3001\u5f00\u53d1\u8005\u4e0e\u7814\u7a76\u4eba\u5458\uff0c\u63a8\u52a8\u89c6\u9891\u521b\u4f5c\u7684\u666e\u53ca\u4e0e\u521b\u65b0\uff0c\u540c\u65f6\u63d0\u4f9b\u4e86\u5546\u4e1a\u4ea7\u54c1\uff1a<a href=\"https:\/\/www.kdjingpai.com\/video-oceanwenben\/\">Video Ocean<\/a> \u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-30511\" title=\"Open Sora\uff1a\u4f18\u5316\u8138\u90e8\u4e00\u81f4\u6027\u7684\u5f00\u6e90\u89c6\u9891\u751f\u6210\u5de5\u5177-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/4ef078836e03d1b.png\" alt=\"Open Sora\uff1a\u4f18\u5316\u8138\u90e8\u4e00\u81f4\u6027\u7684\u5f00\u6e90\u89c6\u9891\u751f\u6210\u5de5\u5177-1\" width=\"561\" height=\"329\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/4ef078836e03d1b.png 561w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/4ef078836e03d1b-18x12.png 18w\" sizes=\"auto, (max-width: 561px) 100vw, 561px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u6587\u672c\u5230\u89c6\u9891\u751f\u6210\uff1a\u8f93\u5165\u6587\u5b57\u63cf\u8ff0\uff0c\u751f\u6210\u7b26\u5408\u5185\u5bb9\u7684\u89c6\u9891\u3002<\/li>\n<li>\u56fe\u50cf\u5230\u89c6\u9891\u751f\u6210\uff1a\u57fa\u4e8e\u5355\u5f20\u56fe\u7247\uff0c\u751f\u6210\u52a8\u6001\u89c6\u9891\u3002<\/li>\n<li>\u89c6\u9891\u6269\u5c55\uff1a\u5ef6\u957f\u89c6\u9891\u65f6\u957f\u6216\u8865\u5145\u5185\u5bb9\u3002<\/li>\n<li>\u591a\u5206\u8fa8\u7387\u652f\u6301\uff1a\u652f\u6301 144p \u5230 768p \u7684\u89c6\u9891\u8f93\u51fa\u3002<\/li>\n<li>\u7075\u6d3b\u65f6\u957f\uff1a\u751f\u6210 2 \u79d2\u5230 16 \u79d2\u7684\u89c6\u9891\u3002<\/li>\n<li>\u591a\u6837\u5316\u5bbd\u9ad8\u6bd4\uff1a\u652f\u6301 16:9\u30019:16\u30011:1 \u7b49\u591a\u79cd\u6bd4\u4f8b\u3002<\/li>\n<li>\u5f00\u6e90\u6a21\u578b\u4e0e\u8bad\u7ec3\uff1a\u63d0\u4f9b\u6a21\u578b\u6743\u91cd\u548c\u8bad\u7ec3\u4ee3\u7801\uff0c\u652f\u6301\u81ea\u5b9a\u4e49\u5f00\u53d1\u3002<\/li>\n<li>\u9ad8\u6548\u63a8\u7406\uff1a\u4f18\u5316\u7b97\u6cd5\uff0c\u964d\u4f4e\u786c\u4ef6\u9700\u6c42\uff0c\u5355 GPU \u5373\u53ef\u751f\u6210\u89c6\u9891\u3002<\/li>\n<li>\u63d0\u793a\u8bcd\u4f18\u5316\uff1a\u652f\u6301 GPT-4o \u589e\u5f3a\u63d0\u793a\u8bcd\uff0c\u63d0\u5347\u751f\u6210\u8d28\u91cf\u3002<\/li>\n<li>\u52a8\u6001\u8bc4\u5206\uff1a\u901a\u8fc7\u8fd0\u52a8\u8bc4\u5206\u8c03\u6574\u89c6\u9891\u52a8\u6001\u6548\u679c\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 Open-Sora\uff0c\u7528\u6237\u9700\u8981\u914d\u7f6e Python \u73af\u5883\u5e76\u5b89\u88c5\u4f9d\u8d56\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u521b\u5efa\u865a\u62df\u73af\u5883<\/strong><br \/>\n\u4f7f\u7528 Python 3.10 \u521b\u5efa\u865a\u62df\u73af\u5883\uff0c\u907f\u514d\u4f9d\u8d56\u51b2\u7a81\uff1a<\/p>\n<pre><code>conda create -n opensora python=3.10\r\nconda activate opensora<\/code><\/pre>\n<\/li>\n<\/ol>\n<ol start=\"2\">\n<li><strong>\u514b\u9686\u4ee3\u7801\u5e93<\/strong><br \/>\n\u4ece GitHub \u4e0b\u8f7d Open-Sora \u9879\u76ee\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/hpcaitech\/Open-Sora\r\ncd Open-Sora\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u786e\u4fdd PyTorch \u7248\u672c\u9ad8\u4e8e 2.4.0\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<pre><code>pip install -v .\r\n<\/code><\/pre>\n<p>\u5982\u679c\u9700\u8981\u5f00\u53d1\u6a21\u5f0f\uff0c\u4f7f\u7528\uff1a<\/p>\n<pre><code>pip install -v -e .\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u52a0\u901f\u5e93<\/strong><br \/>\nOpen-Sora \u4f7f\u7528\u00a0<code>xformers<\/code>\u00a0\u548c\u00a0<code>flash-attn<\/code>\u00a0\u63d0\u5347\u6027\u80fd\u3002\u6839\u636e CUDA \u7248\u672c\u5b89\u88c5\uff1a<\/p>\n<pre><code>pip install xformers==0.0.27.post2 --index-url https:\/\/download.pytorch.org\/whl\/cu121\r\npip install flash-attn --no-build-isolation\r\n<\/code><\/pre>\n<p>\u4e3a\u66f4\u5feb\u7684\u63a8\u7406\u901f\u5ea6\uff0c\u53ef\u624b\u52a8\u7f16\u8bd1\u00a0<code>flash-attention<\/code>\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/Dao-AILab\/flash-attention\r\ncd flash-attention\/hopper\r\npython setup.py install\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd<\/strong><br \/>\nOpen-Sora 2.0 \u652f\u6301 256p \u548c 768p \u89c6\u9891\u751f\u6210\uff0c\u6a21\u578b\u53ef\u4ece Hugging Face \u6216 ModelScope \u4e0b\u8f7d\uff1a<\/p>\n<pre><code>pip install \"huggingface_hub[cli]\"\r\nhuggingface-cli download hpcai-tech\/Open-Sora-v2 --local-dir .\/ckpts\r\n<\/code><\/pre>\n<p>\u6216\u4f7f\u7528 ModelScope\uff1a<\/p>\n<pre><code>pip install modelscope\r\nmodelscope download hpcai-tech\/Open-Sora-v2 --local_dir .\/ckpts\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong><br \/>\n\u68c0\u67e5\u73af\u5883\u662f\u5426\u6b63\u5e38\uff1a<\/p>\n<pre><code>python -c \"import opensora; print(opensora.__version__)\"\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>Open-Sora \u652f\u6301\u6587\u672c\u5230\u89c6\u9891\u3001\u56fe\u50cf\u5230\u89c6\u9891\u7b49\u591a\u79cd\u529f\u80fd\uff0c\u64cd\u4f5c\u7b80\u5355\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6307\u5357\uff1a<\/p>\n<h4>\u6587\u672c\u5230\u89c6\u9891\u751f\u6210<\/h4>\n<p>Open-Sora \u4f18\u5316\u4e86\u56fe\u50cf\u5230\u89c6\u9891\u6d41\u7a0b\uff0c\u4f46\u4e5f\u652f\u6301\u76f4\u63a5\u6587\u672c\u5230\u89c6\u9891\u751f\u6210\u3002\u63a8\u8350\u4f7f\u7528\u6587\u672c\u5230\u56fe\u50cf\u518d\u5230\u89c6\u9891\u7684\u7ba1\u9053\uff0c\u4ee5\u63d0\u5347\u8d28\u91cf\u3002<\/p>\n<ol>\n<li><strong>\u51c6\u5907\u63d0\u793a\u8bcd<\/strong><br \/>\n\u7f16\u5199\u8be6\u7ec6\u7684\u6587\u5b57\u63cf\u8ff0\uff0c\u4f8b\u5982\uff1a\u201c\u66b4\u98ce\u96e8\u4e2d\u7684\u6d77\u6d0b\uff0c\u5de8\u6d6a\u62cd\u6253\u5ca9\u77f3\uff0c\u4e4c\u4e91\u5bc6\u5e03\u201d\u3002\u63d0\u793a\u8bcd\u8d8a\u5177\u4f53\uff0c\u6548\u679c\u8d8a\u597d\u3002<\/li>\n<li><strong>\u8fd0\u884c\u751f\u6210\u547d\u4ee4<\/strong><br \/>\n\u751f\u6210 256&#215;256 \u89c6\u9891\uff1a<\/p>\n<pre><code>torchrun --nproc_per_node 1 --standalone scripts\/diffusion\/inference.py configs\/diffusion\/inference\/t2i2v_256px.py --save-dir samples --prompt \"Stormy ocean with crashing waves\"\r\n<\/code><\/pre>\n<p>\u751f\u6210 768&#215;768 \u89c6\u9891\uff08\u9700\u8981\u591a GPU\uff09\uff1a<\/p>\n<pre><code>torchrun --nproc_per_node 8 --standalone scripts\/diffusion\/inference.py configs\/diffusion\/inference\/t2i2v_768px.py --save-dir samples --prompt \"Stormy ocean with crashing waves\"\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8c03\u6574\u53c2\u6570<\/strong>\n<ul>\n<li><code>--aspect_ratio<\/code>\uff1a\u8bbe\u7f6e\u5bbd\u9ad8\u6bd4\uff0c\u5982\u00a0<code>16:9<\/code>\u00a0\u6216\u00a0<code>1:1<\/code>\u3002<\/li>\n<li><code>--num_frames<\/code>\uff1a\u8bbe\u7f6e\u5e27\u6570\uff0c\u8303\u56f4\u4e3a 4k+1\uff08\u6700\u5927 129 \u5e27\uff09\u3002<\/li>\n<li><code>--offload True<\/code>\uff1a\u542f\u7528\u5185\u5b58\u4f18\u5316\uff0c\u9002\u5408\u4f4e\u914d\u8bbe\u5907\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u67e5\u770b\u7ed3\u679c<\/strong><br \/>\n\u751f\u6210\u7684\u89c6\u9891\u4fdd\u5b58\u5728\u00a0<code>samples<\/code>\u00a0\u6587\u4ef6\u5939\uff0c\u683c\u5f0f\u4e3a MP4\u3002<\/li>\n<\/ol>\n<h4>\u56fe\u50cf\u5230\u89c6\u9891\u751f\u6210<\/h4>\n<ol>\n<li><strong>\u51c6\u5907\u53c2\u8003\u56fe\u50cf<\/strong><br \/>\n\u4e0a\u4f20\u4e00\u5f20\u56fe\u7247\uff0c\u4fdd\u5b58\u4e3a\u00a0<code>input.png<\/code>\u3002<\/li>\n<li><strong>\u8fd0\u884c\u751f\u6210\u547d\u4ee4<\/strong><br \/>\n\u751f\u6210 256p \u89c6\u9891\uff1a<\/p>\n<pre><code>torchrun --nproc_per_node 1 --standalone scripts\/diffusion\/inference.py configs\/diffusion\/inference\/256px.py --cond_type i2v_head --prompt \"A serene forest with flowing river\" --ref input.png\r\n<\/code><\/pre>\n<p>\u751f\u6210 768p \u89c6\u9891\uff1a<\/p>\n<pre><code>torchrun --nproc_per_node 8 --standalone scripts\/diffusion\/inference.py configs\/diffusion\/inference\/768px.py --cond_type i2v_head --prompt \"A serene forest with flowing river\" --ref input.png\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u4f18\u5316\u52a8\u6001\u6548\u679c<\/strong><br \/>\n\u4f7f\u7528\u00a0<code>--motion-score<\/code>\u00a0\u8c03\u6574\u753b\u9762\u52a8\u6001\u7a0b\u5ea6\uff0c\u9ed8\u8ba4\u503c\u4e3a 4\u3002\u793a\u4f8b\uff1a<\/p>\n<pre><code>torchrun --nproc_per_node 1 --standalone scripts\/diffusion\/inference.py configs\/diffusion\/inference\/256px.py --cond_type i2v_head --prompt \"A running horse\" --ref horse.png --motion-score 7\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h4>\u63d0\u793a\u8bcd\u4f18\u5316<\/h4>\n<p>Open-Sora \u652f\u6301\u4f7f\u7528 GPT-4o \u4f18\u5316\u63d0\u793a\u8bcd\uff0c\u63d0\u5347\u751f\u6210\u8d28\u91cf\uff1a<\/p>\n<ol>\n<li>\u8bbe\u7f6e OpenAI API \u5bc6\u94a5\uff1a\n<pre><code>export OPENAI_API_KEY=sk-xxxx\r\n<\/code><\/pre>\n<\/li>\n<li>\u8fd0\u884c\u4f18\u5316\u547d\u4ee4\uff1a\n<pre><code>torchrun --nproc_per_node 1 --standalone scripts\/diffusion\/inference.py configs\/diffusion\/inference\/t2i2v_256px.py --save-dir samples --prompt \"raining, sea\" --refine-prompt True\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h4>Gradio \u754c\u9762\u64cd\u4f5c<\/h4>\n<p>Open-Sora \u63d0\u4f9b\u4ea4\u4e92\u5f0f Gradio \u754c\u9762\uff1a<\/p>\n<ol>\n<li>\u542f\u52a8\u754c\u9762\uff1a\n<pre><code>python scripts\/demo.py --model-type v2-768px\r\n<\/code><\/pre>\n<\/li>\n<li>\u5728\u6d4f\u89c8\u5668\u8bbf\u95ee\u00a0<code>http:\/\/localhost:7860<\/code>\u3002<\/li>\n<li>\u8f93\u5165\u63d0\u793a\u8bcd\u6216\u4e0a\u4f20\u56fe\u7247\uff0c\u8c03\u6574\u5206\u8fa8\u7387\u548c\u5e27\u6570\uff0c\u70b9\u51fb\u201cGenerate\u201d\u751f\u6210\u89c6\u9891\u3002<\/li>\n<li>\u53ef\u542f\u7528\u201cRefine prompt\u201d\u4f18\u5316\u63d0\u793a\u8bcd\uff08\u9700 OpenAI API \u5bc6\u94a5\uff09\u3002<\/li>\n<\/ol>\n<h4>\u81ea\u5b9a\u4e49\u6a21\u578b\u8bad\u7ec3<\/h4>\n<p>\u7528\u6237\u53ef\u4ee5\u57fa\u4e8e\u81ea\u5df1\u7684\u6570\u636e\u96c6\u8bad\u7ec3\u6a21\u578b\uff1a<\/p>\n<ol>\n<li>\u51c6\u5907\u6570\u636e\u96c6\uff1a\u5305\u542b\u89c6\u9891\u8def\u5f84\u548c\u63cf\u8ff0\u7684 CSV \u6587\u4ef6\u3002<\/li>\n<li>\u4fee\u6539\u914d\u7f6e\u6587\u4ef6\uff1a<code>configs\/opensora-v2\/train\/stage1.py<\/code>\uff0c\u8bbe\u7f6e\u6570\u636e\u8def\u5f84\u3002<\/li>\n<li>\u8fd0\u884c\u8bad\u7ec3\uff1a\n<pre><code>torchrun --nproc_per_node 8 scripts\/train.py configs\/opensora-v2\/train\/stage1.py --data-path your_data.csv\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h4>\u8ba1\u7b97\u6548\u7387<\/h4>\n<p>Open-Sora \u4f18\u5316\u4e86\u63a8\u7406\u6548\u7387\uff0c\u6d4b\u8bd5\u7ed3\u679c\u5982\u4e0b\uff08H100 GPU\uff0c50 \u6b65\u91c7\u6837\uff09\uff1a<\/p>\n<ul>\n<li>256&#215;256\uff1a\u5355 GPU 60 \u79d2\uff0c52.5GB \u663e\u5b58\uff1b4 GPU 34 \u79d2\uff0c44.3GB \u663e\u5b58\u3002<\/li>\n<li>768&#215;768\uff1a8 GPU 276 \u79d2\uff0c44.3GB \u663e\u5b58\u3002<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u63a8\u8350 NVIDIA H100 \u6216 A100\uff0c\u663e\u5b58\u81f3\u5c11 24GB\u3002\u4f4e\u914d\u8bbe\u5907\u53ef\u964d\u4f4e\u5206\u8fa8\u7387\u3002<\/li>\n<li><strong>\u63d0\u793a\u8bcd\u8d28\u91cf<\/strong>\uff1a\u8be6\u7ec6\u7684\u63cf\u8ff0\u80fd\u663e\u8457\u63d0\u5347\u89c6\u9891\u6548\u679c\u3002<\/li>\n<li><strong>\u8bb8\u53ef\u8bc1<\/strong>\uff1aOpen-Sora \u4f7f\u7528 MIT \u8bb8\u53ef\u8bc1\uff0c\u5141\u8bb8\u5546\u7528\uff0c\u4f46\u9700\u9075\u5b88\u6761\u6b3e\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u77ed\u89c6\u9891\u521b\u4f5c<\/strong><br \/>\n\u535a\u4e3b\u53ef\u4ee5\u7528 Open-Sora \u751f\u6210\u5ba3\u4f20\u89c6\u9891\uff0c\u5982\u201c\u57ce\u5e02\u591c\u666f\u706f\u5149\u95ea\u70c1\u201d\uff0c\u7528\u4e8e\u793e\u4ea4\u5e73\u53f0\u5206\u4eab\u3002<\/li>\n<li><strong>\u6559\u80b2\u52a8\u753b<\/strong><br \/>\n\u6559\u5e08\u53ef\u751f\u6210\u6559\u5b66\u52a8\u753b\uff0c\u5982\u201c\u884c\u661f\u7ed5\u592a\u9633\u65cb\u8f6c\u201d\uff0c\u589e\u5f3a\u8bfe\u5802\u5438\u5f15\u529b\u3002<\/li>\n<li><strong>\u6e38\u620f\u573a\u666f\u8bbe\u8ba1<\/strong><br \/>\n\u5f00\u53d1\u8005\u57fa\u4e8e\u6982\u5ff5\u56fe\u751f\u6210\u52a8\u6001\u573a\u666f\uff0c\u7528\u4e8e\u6e38\u620f\u80cc\u666f\u6216\u8fc7\u573a\u52a8\u753b\u3002<\/li>\n<li><strong>AI \u7814\u7a76<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u53ef\u4fee\u6539\u6a21\u578b\u4ee3\u7801\uff0c\u6d4b\u8bd5\u65b0\u7b97\u6cd5\u6216\u6570\u636e\u96c6\uff0c\u63a8\u52a8\u89c6\u9891\u751f\u6210\u6280\u672f\u53d1\u5c55\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>Open-Sora 2.0 \u7684\u6027\u80fd\u5982\u4f55\uff1f<\/strong><br \/>\n\u5728 VBench \u8bc4\u6d4b\u4e2d\uff0cOpen-Sora 2.0 \u4e0e OpenAI <a href=\"https:\/\/www.kdjingpai.com\/ja\/sora-2\/\">Sora<\/a> \u7684\u5dee\u8ddd\u7f29\u5c0f\u81f3 0.69%\uff0c\u63a5\u8fd1 <a href=\"https:\/\/www.kdjingpai.com\/ja\/hunyuanvideo\/\">HunyuanVideo<\/a> 11B \u548c Step-Video 30B\u3002<\/li>\n<li><strong>\u652f\u6301\u54ea\u4e9b\u5206\u8fa8\u7387\u548c\u65f6\u957f\uff1f<\/strong><br \/>\n\u652f\u6301 144p \u5230 768p\uff0c\u89c6\u9891\u65f6\u957f 2 \u79d2\u5230 16 \u79d2\uff0c\u5bbd\u9ad8\u6bd4\u5305\u62ec 16:9\u30019:16 \u7b49\u3002<\/li>\n<li><strong>\u5982\u4f55\u4f18\u5316\u751f\u6210\u8d28\u91cf\uff1f<\/strong><br \/>\n\u4f7f\u7528\u8be6\u7ec6\u63d0\u793a\u8bcd\uff0c\u8c03\u6574\u00a0<code>motion-score<\/code>\uff081-7\uff09\uff0c\u6216\u542f\u7528 GPT-4o \u4f18\u5316\u63d0\u793a\u8bcd\u3002<\/li>\n<li><strong>\u53ef\u4ee5\u514d\u8d39\u4f7f\u7528\u5417\uff1f<\/strong><br \/>\nOpen-Sora \u662f\u5b8c\u5168\u5f00\u6e90\u7684\uff0c\u514d\u8d39\u63d0\u4f9b\u6a21\u578b\u548c\u4ee3\u7801\uff0c\u9075\u5faa MIT \u8bb8\u53ef\u8bc1\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Open-Sora \u662f\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u65e8\u5728\u8ba9\u4efb\u4f55\u4eba\u90fd\u80fd\u9ad8\u6548\u751f\u6210\u9ad8\u8d28\u91cf\u89c6\u9891\u3002\u5b83\u7531 hpcaitech \u56e2\u961f\u5f00\u53d1\uff0c\u63d0\u4f9b\u4ece\u6587\u672c\u6216\u56fe\u50cf\u751f\u6210\u89c6\u9891\u7684\u5de5\u5177\uff0c\u652f\u6301\u591a\u79cd\u5206\u8fa8\u7387\u548c\u65f6\u957f\u3002\u9879\u76ee\u5b8c\u5168\u5f00\u6e90\uff0c\u516c\u5f00\u6a21\u578b\u6743\u91cd\u3001\u4ee3\u7801\u548c\u8bad\u7ec3\u6d41\u7a0b\uff0c\u9f13\u52b1\u793e\u533a\u8d21\u732e\u3002\u6700\u65b0\u7248\u672c Open-&#8230;<\/p>\n","protected":false},"author":1,"featured_media":62266,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[195,230],"class_list":["post-30510","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aituxiangzhuanshipin","tag-aikaiyuanxiangmu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/30510","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/comments?post=30510"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/30510\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/62266"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=30510"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=30510"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=30510"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}