{"id":32119,"date":"2025-07-05T01:55:53","date_gmt":"2025-07-04T17:55:53","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=32119"},"modified":"2025-07-21T05:58:11","modified_gmt":"2025-07-20T21:58:11","slug":"index-anisora","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/index-anisora\/","title":{"rendered":"Index-AniSora\uff1aBilibili\u5f00\u6e90\u7684\u52a8\u6f2b\u89c6\u9891\u751f\u6210\u5de5\u5177"},"content":{"rendered":"<p>Index-AniSora \u662f\u7531Bilibili\u5f00\u53d1\u5e76\u5f00\u6e90\u7684\u52a8\u6f2b\u89c6\u9891\u751f\u6210\u6a21\u578b\uff0c\u6258\u7ba1\u5728GitHub\u4e0a\u3002\u5b83\u4ee5CogVideoX-5B\u548cWan2.1-14B\u4e3a\u57fa\u7840\u6a21\u578b\uff0c\u652f\u6301\u751f\u6210\u591a\u6837\u5316\u7684\u52a8\u6f2b\u98ce\u683c\u89c6\u9891\uff0c\u5305\u62ec\u52a8\u753b\u5267\u96c6\u3001\u56fd\u4ea7\u539f\u521b\u52a8\u753b\u3001\u6f2b\u753b\u6539\u7f16\u3001VTuber\u5185\u5bb9\u3001\u52a8\u6f2bPV\u548c\u6076\u641e\u98ce\u683c\u89c6\u9891\u7b49\u3002\u8be5\u9879\u76ee\u7ed3\u5408\u4e86IJCAI&#8217;25\u63a5\u53d7\u7684\u8bba\u6587\u6210\u679c\uff0c\u63d0\u4f9b\u4e86\u5b8c\u6574\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u4ee3\u7801\uff0c\u652f\u6301\u534e\u4e3a\u6607\u817e910B NPU\u786c\u4ef6\u3002Index-AniSora\u901a\u8fc7\u8d85\u5343\u4e07\u9ad8\u8d28\u91cf\u6570\u636e\u96c6\u548c\u65f6\u7a7a\u63a9\u7801\u6a21\u5757\uff0c\u5b9e\u73b0\u56fe\u50cf\u5230\u89c6\u9891\u751f\u6210\u3001\u5e27\u63d2\u503c\u548c\u5c40\u90e8\u5f15\u5bfc\u52a8\u753b\u7b49\u529f\u80fd\u3002\u5b83\u7684\u8bc4\u4f30\u6570\u636e\u96c6\u5305\u542b948\u4e2a\u52a8\u753b\u89c6\u9891\u7247\u6bb5\uff0c\u642d\u914dQwen-VL2\u751f\u6210\u7684\u6587\u672c\u63d0\u793a\uff0c\u786e\u4fdd\u6587\u672c\u4e0e\u89c6\u9891\u5185\u5bb9\u7cbe\u51c6\u5bf9\u9f50\u3002\u9879\u76ee\u5b8c\u5168\u5f00\u6e90\uff0cApache 2.0\u8bb8\u53ef\uff0c\u9f13\u52b1\u793e\u533a\u53c2\u4e0e\u5f00\u53d1\u3002<\/p>\n<p><img decoding=\"async\" title=\"Index-AniSora\uff1aBilibili\u5f00\u6e90\u7684\u52a8\u6f2b\u89c6\u9891\u751f\u6210\u5de5\u5177-1\" src=\"http:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/07\/ec0b3cb4a39da98.png\" alt=\"Index-AniSora\uff1aBilibili\u5f00\u6e90\u7684\u52a8\u6f2b\u89c6\u9891\u751f\u6210\u5de5\u5177-1\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u652f\u6301\u751f\u6210\u591a\u6837\u5316\u52a8\u6f2b\u98ce\u683c\u89c6\u9891\uff0c\u8986\u76d6\u52a8\u753b\u5267\u96c6\u3001\u6f2b\u753b\u6539\u7f16\u3001VTuber\u5185\u5bb9\u7b49\u3002<\/li>\n<li>\u63d0\u4f9b\u56fe\u50cf\u5230\u89c6\u9891\u751f\u6210\u529f\u80fd\uff0c\u57fa\u4e8e\u5355\u5f20\u56fe\u50cf\u751f\u6210\u52a8\u6001\u89c6\u9891\u3002<\/li>\n<li>\u652f\u6301\u5e27\u63d2\u503c\uff0c\u751f\u6210\u5173\u952e\u5e27\u3001\u4e2d\u95f4\u5e27\u548c\u672b\u5c3e\u5e27\uff0c\u4f18\u5316\u52a8\u753b\u6d41\u7545\u5ea6\u3002<\/li>\n<li>\u63d0\u4f9b\u5c40\u90e8\u56fe\u50cf\u5f15\u5bfc\u52a8\u753b\u529f\u80fd\uff0c\u5141\u8bb8\u7528\u6237\u6307\u5b9a\u533a\u57df\u751f\u6210\u52a8\u753b\u3002<\/li>\n<li>\u5305\u542b948\u4e2a\u52a8\u753b\u89c6\u9891\u7247\u6bb5\u7684\u8bc4\u4f30\u6570\u636e\u96c6\uff0c\u642d\u914d\u624b\u52a8\u6821\u6b63\u7684\u6587\u672c\u63d0\u793a\u3002<\/li>\n<li>\u652f\u6301\u534e\u4e3a\u6607\u817e910B NPU\uff0c\u4f18\u5316\u8bad\u7ec3\u548c\u63a8\u7406\u6027\u80fd\u3002<\/li>\n<li>\u63d0\u4f9b\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u6846\u67b6\uff08RLHF\uff09\uff0c\u63d0\u5347\u52a8\u6f2b\u98ce\u683c\u8f93\u51fa\u8d28\u91cf\u3002<\/li>\n<li>\u53d1\u5e03\u5b8c\u6574\u8bad\u7ec3\u548c\u63a8\u7406\u4ee3\u7801\uff0c\u8def\u5f84\u4e3a<code>anisoraV1_train_npu<\/code>\u548c<code>anisoraV2_npu<\/code>\u3002<\/li>\n<li>\u63d0\u4f9b\u84b8\u998f\u52a0\u901f\u63a8\u7406\u6280\u672f\uff0c\u964d\u4f4e\u8ba1\u7b97\u6210\u672c\uff0c\u4fdd\u6301\u751f\u6210\u8d28\u91cf\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>Index-AniSora \u662f\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u6258\u7ba1\u5728 GitHub \u4e0a\uff0c\u7528\u6237\u9700\u8981\u514b\u9686\u4ed3\u5e93\u5e76\u914d\u7f6e\u73af\u5883\u4ee5\u4f7f\u7528\u5176\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u548c\u4f7f\u7528\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\u514b\u9686 Index-AniSora \u4ed3\u5e93\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/bilibili\/Index-anisora.git\r\ncd Index-anisora\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<pre><code>\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li><strong>\u73af\u5883\u914d\u7f6e<\/strong><br \/>\n\u9879\u76ee\u4f9d\u8d56 Python \u73af\u5883\u548c\u7279\u5b9a\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3002\u63a8\u8350\u4f7f\u7528 Python 3.8 \u6216\u4ee5\u4e0a\u7248\u672c\u3002\u5b89\u88c5\u4f9d\u8d56\uff1a<\/p>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<p>\u786e\u4fdd\u5b89\u88c5 PyTorch\uff08\u652f\u6301\u6607\u817e NPU \u6216 GPU\uff09\u3001CogVideoX \u548c Wan2.1 \u76f8\u5173\u4f9d\u8d56\u3002\u5982\u679c\u4f7f\u7528\u534e\u4e3a\u6607\u817e910B NPU\uff0c\u9700\u5b89\u88c5\u6607\u817e\u5f00\u53d1\u5957\u4ef6\uff08\u5982 CANN\uff09\u3002\u5177\u4f53\u5b89\u88c5\u6307\u5357\u53c2\u8003\u5b98\u65b9\u6587\u6863\u6216\u534e\u4e3a\u6607\u817e\u793e\u533a\u3002<\/li>\n<li><strong>\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd<\/strong><br \/>\n\u7528\u6237\u9700\u8981\u7533\u8bf7 AniSoraV1 \u6216 AniSoraV2 \u6a21\u578b\u6743\u91cd\u3002\u586b\u5199\u5b98\u65b9\u63d0\u4f9b\u7684\u7533\u8bf7\u8868\uff08PDF\u683c\u5f0f\uff09\uff0c\u53d1\u9001\u81f3\u90ae\u7bb1\u00a0<code>yangsiqian@bilibili.com<\/code>\u00a0\u6216\u00a0<code>xubaohan@bilibili.com<\/code>\u3002\u5ba1\u6838\u901a\u8fc7\u540e\uff0c\u83b7\u53d6\u6743\u91cd\u4e0b\u8f7d\u94fe\u63a5\u3002\u4e0b\u8f7d\u540e\uff0c\u5c06\u6743\u91cd\u6587\u4ef6\u653e\u7f6e\u5728\u4ed3\u5e93\u7684\u6307\u5b9a\u76ee\u5f55\uff08\u5982\u00a0<code>anisoraV2_npu<\/code>\uff09\u3002<\/li>\n<li><strong>\u8fd0\u884c\u63a8\u7406\u4ee3\u7801<\/strong><br \/>\n\u9879\u76ee\u63d0\u4f9b\u5b8c\u6574\u7684\u63a8\u7406\u4ee3\u7801\uff0c\u4f4d\u4e8e\u00a0<code>anisoraV1_train_npu<\/code>\u00a0\u6216\u00a0<code>anisoraV2_npu<\/code>\u00a0\u76ee\u5f55\u3002\u8fd0\u884c\u793a\u4f8b\u63a8\u7406\u547d\u4ee4\uff1a<\/p>\n<pre><code>python inference.py --model_path anisoraV2_npu --prompt \"\u4e00\u4e2a\u7a7f\u548c\u670d\u7684\u5c11\u5973\u5728\u6a31\u82b1\u6811\u4e0b\u8df3\u821e\" --output output_video.mp4\r\n<\/code><\/pre>\n<p>\u53c2\u6570\u8bf4\u660e\uff1a<\/p>\n<ul>\n<li><code>--model_path<\/code>\uff1a\u6307\u5b9a\u6a21\u578b\u6743\u91cd\u8def\u5f84\u3002<\/li>\n<li><code>--prompt<\/code>\uff1a\u8f93\u5165\u6587\u672c\u63d0\u793a\uff0c\u63cf\u8ff0\u671f\u671b\u7684\u52a8\u753b\u573a\u666f\u3002<\/li>\n<li><code>--output<\/code>\uff1a\u6307\u5b9a\u8f93\u51fa\u89c6\u9891\u6587\u4ef6\u8def\u5f84\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8bad\u7ec3\u6a21\u578b<\/strong><br \/>\n\u5982\u679c\u9700\u8981\u81ea\u5b9a\u4e49\u8bad\u7ec3\uff0c\u9879\u76ee\u63d0\u4f9b\u8bad\u7ec3\u4ee3\u7801\uff08<code>anisoraV1_train_npu<\/code>\uff09\u3002\u51c6\u5907\u6570\u636e\u96c6\u540e\uff0c\u8fd0\u884c\u8bad\u7ec3\u811a\u672c\uff1a<\/p>\n<pre><code>python train.py --data_path your_dataset --output_dir trained_model\r\n<\/code><\/pre>\n<p>\u6570\u636e\u96c6\u9700\u7b26\u5408\u9879\u76ee\u8981\u6c42\uff0c\u63a8\u8350\u4f7f\u7528\u4e0e\u8bc4\u4f30\u6570\u636e\u96c6\u7c7b\u4f3c\u7684\u52a8\u753b\u89c6\u9891\u7247\u6bb5\uff0c\u642d\u914d\u6587\u672c\u63d0\u793a\u3002\u8bad\u7ec3\u652f\u6301\u534e\u4e3a\u6607\u817e NPU \u548c GPU\u3002<\/li>\n<\/ol>\n<h3>\u4e3b\u8981\u529f\u80fd\u64cd\u4f5c<\/h3>\n<ul>\n<li><strong>\u56fe\u50cf\u5230\u89c6\u9891\u751f\u6210<\/strong><br \/>\n\u7528\u6237\u4e0a\u4f20\u4e00\u5f20\u9759\u6001\u56fe\u50cf\uff08\u5982\u52a8\u6f2b\u89d2\u8272\u56fe\uff09\uff0c\u901a\u8fc7\u6587\u672c\u63d0\u793a\u751f\u6210\u52a8\u6001\u89c6\u9891\u3002\u4f8b\u5982\uff0c\u8f93\u5165\u56fe\u50cf\u4e3a\u201c\u5fcd\u8005\u89d2\u8272\u201d\uff0c\u63d0\u793a\u4e3a\u201c\u5fcd\u8005\u5728\u68ee\u6797\u4e2d\u6218\u6597\u201d\uff0c\u6a21\u578b\u5c06\u751f\u6210\u76f8\u5e94\u52a8\u753b\u3002\u64cd\u4f5c\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li>\u51c6\u5907\u56fe\u50cf\u6587\u4ef6\uff08\u5982 PNG\/JPG \u683c\u5f0f\uff09\u3002<\/li>\n<li>\u7f16\u5199\u8be6\u7ec6\u7684\u6587\u672c\u63d0\u793a\uff0c\u63cf\u8ff0\u52a8\u4f5c\u3001\u573a\u666f\u548c\u98ce\u683c\u3002<\/li>\n<li>\u8fd0\u884c\u63a8\u7406\u811a\u672c\uff0c\u6307\u5b9a\u56fe\u50cf\u8def\u5f84\u548c\u63d0\u793a\uff1a\n<pre><code>python inference.py --image_path input_image.png --prompt \"\u5fcd\u8005\u5728\u68ee\u6797\u4e2d\u6218\u6597\" --output ninja_video.mp4\r\n<\/code><\/pre>\n<\/li>\n<li>\u68c0\u67e5\u751f\u6210\u7684\u89c6\u9891\u6587\u4ef6\uff0c\u8c03\u6574\u63d0\u793a\u4ee5\u4f18\u5316\u6548\u679c\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u5e27\u63d2\u503c<\/strong><br \/>\n\u5e27\u63d2\u503c\u529f\u80fd\u7528\u4e8e\u751f\u6210\u52a8\u753b\u7684\u4e2d\u95f4\u5e27\uff0c\u63d0\u5347\u89c6\u9891\u6d41\u7545\u5ea6\u3002\u7528\u6237\u53ef\u63d0\u4f9b\u5173\u952e\u5e27\uff08\u5982\u8d77\u59cb\u5e27\u548c\u7ed3\u675f\u5e27\uff09\uff0c\u6a21\u578b\u81ea\u52a8\u751f\u6210\u4e2d\u95f4\u8fc7\u6e21\u5e27\u3002\u64cd\u4f5c\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li>\u51c6\u5907\u5173\u952e\u5e27\u56fe\u50cf\uff0c\u653e\u7f6e\u5728\u6307\u5b9a\u76ee\u5f55\u3002<\/li>\n<li>\u8fd0\u884c\u5e27\u63d2\u503c\u811a\u672c\uff1a\n<pre><code>python frame_interpolation.py --keyframe_dir keyframes --output interpolated_video.mp4\r\n<\/code><\/pre>\n<\/li>\n<li>\u68c0\u67e5\u8f93\u51fa\u89c6\u9891\uff0c\u786e\u4fdd\u5e27\u95f4\u8fc7\u6e21\u81ea\u7136\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u5c40\u90e8\u56fe\u50cf\u5f15\u5bfc\u52a8\u753b<\/strong><br \/>\n\u7528\u6237\u53ef\u6307\u5b9a\u56fe\u50cf\u7684\u7279\u5b9a\u533a\u57df\u751f\u6210\u52a8\u753b\u3002\u4f8b\u5982\uff0c\u56fa\u5b9a\u80cc\u666f\uff0c\u4ec5\u8ba9\u89d2\u8272\u79fb\u52a8\u3002\u64cd\u4f5c\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li>\u63d0\u4f9b\u56fe\u50cf\u548c\u63a9\u7801\u6587\u4ef6\uff08\u63a9\u7801\u6307\u5b9a\u52a8\u753b\u533a\u57df\uff09\u3002<\/li>\n<li>\u8fd0\u884c\u5c40\u90e8\u5f15\u5bfc\u811a\u672c\uff1a\n<pre><code>python local_guided_animation.py --image_path scene.png --mask_path mask.png --prompt \"\u89d2\u8272\u5728\u80cc\u666f\u524d\u6325\u624b\" --output guided_video.mp4\r\n<\/code><\/pre>\n<\/li>\n<li>\u68c0\u67e5\u8f93\u51fa\uff0c\u786e\u4fdd\u52a8\u753b\u533a\u57df\u7b26\u5408\u9884\u671f\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u8bc4\u4f30\u6570\u636e\u96c6\u4f7f\u7528<\/strong><br \/>\n\u9879\u76ee\u63d0\u4f9b948\u4e2a\u52a8\u753b\u89c6\u9891\u7247\u6bb5\u7684\u8bc4\u4f30\u6570\u636e\u96c6\uff0c\u7528\u4e8e\u6d4b\u8bd5\u6a21\u578b\u6027\u80fd\u3002\u7528\u6237\u9700\u7533\u8bf7\u6570\u636e\u96c6\u8bbf\u95ee\u6743\u9650\uff08\u540c\u6a21\u578b\u6743\u91cd\u7533\u8bf7\u6d41\u7a0b\uff09\u3002\u83b7\u53d6\u540e\uff0c\u53ef\u8fd0\u884c\u8bc4\u4f30\u811a\u672c\uff1a<\/p>\n<pre><code>python evaluate.py --dataset_path anisora_benchmark --model_path anisoraV2_npu\r\n<\/code><\/pre>\n<p>\u8bc4\u4f30\u7ed3\u679c\u5305\u62ec\u52a8\u4f5c\u4e00\u81f4\u6027\u3001\u98ce\u683c\u4e00\u81f4\u6027\u7b49\u6307\u6807\uff0c\u9002\u7528\u4e8e\u6a21\u578b\u4f18\u5316\u3002<\/li>\n<\/ul>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<ul>\n<li><strong>\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\uff08RLHF\uff09<\/strong><br \/>\nAniSoraV1.0 \u5f15\u5165\u4e86\u9996\u4e2a\u52a8\u6f2b\u89c6\u9891\u751f\u6210 RLHF \u6846\u67b6\uff0c\u63d0\u5347\u751f\u6210\u8d28\u91cf\u3002\u7528\u6237\u53ef\u901a\u8fc7\u63d0\u4f9b\u7684 RL \u4f18\u5316\u811a\u672c\u5fae\u8c03\u6a21\u578b\uff1a<\/p>\n<pre><code>python rlhf_optimize.py --model_path anisoraV1_npu --data_path rlhf_data --output optimized_model\r\n<\/code><\/pre>\n<p>RLHF \u6570\u636e\u9700\u81ea\u884c\u51c6\u5907\uff0c\u63a8\u8350\u5305\u542b\u9ad8\u8d28\u91cf\u52a8\u6f2b\u89c6\u9891\u548c\u8bc4\u5206\u3002<\/li>\n<li><strong>\u534e\u4e3a\u6607\u817e NPU \u652f\u6301<\/strong><br \/>\n\u9879\u76ee\u4e13\u4e3a\u534e\u4e3a\u6607\u817e910B NPU \u4f18\u5316\uff0c\u9002\u5408\u56fd\u5185\u7528\u6237\u3002\u786e\u4fdd\u5b89\u88c5\u6607\u817e\u5f00\u53d1\u5957\u4ef6\u540e\uff0c\u8fd0\u884c\u63a8\u7406\u6216\u8bad\u7ec3\u65f6\u6307\u5b9a NPU \u8bbe\u5907\uff1a<\/p>\n<pre><code>python inference.py --device npu --model_path anisoraV2_npu\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u52a8\u753b\u77ed\u7247\u5236\u4f5c<\/strong><br \/>\n\u521b\u4f5c\u8005\u53ef\u4f7f\u7528 Index-AniSora \u751f\u6210\u9ad8\u8d28\u91cf\u52a8\u6f2b\u77ed\u7247\u3002\u4f8b\u5982\uff0c\u8f93\u5165\u4e00\u5f20\u89d2\u8272\u8bbe\u8ba1\u56fe\u548c\u63cf\u8ff0\u201c\u89d2\u8272\u5728\u672a\u6765\u57ce\u5e02\u98de\u5954\u201d\uff0c\u5373\u53ef\u751f\u6210\u52a8\u6001\u77ed\u7247\uff0c\u9002\u7528\u4e8e\u72ec\u7acb\u52a8\u753b\u5236\u4f5c\u3002<\/li>\n<li><strong>VTuber\u5185\u5bb9\u521b\u4f5c<\/strong><br \/>\nVTuber \u4e3b\u64ad\u53ef\u5229\u7528\u6a21\u578b\u751f\u6210\u865a\u62df\u5f62\u8c61\u7684\u52a8\u6001\u89c6\u9891\uff0c\u5982\u201c\u865a\u62df\u5076\u50cf\u5728\u821e\u53f0\u8868\u6f14\u201d\uff0c\u5feb\u901f\u5236\u4f5c\u76f4\u64ad\u6216\u77ed\u89c6\u9891\u5185\u5bb9\u3002<\/li>\n<li><strong>\u6f2b\u753b\u6539\u7f16\u9884\u89c8<\/strong><br \/>\n\u6f2b\u753b\u5bb6\u53ef\u5c06\u9759\u6001\u6f2b\u753b\u5e27\u8f6c\u5316\u4e3a\u52a8\u6001\u89c6\u9891\uff0c\u9884\u89c8\u6539\u7f16\u52a8\u753b\u6548\u679c\uff0c\u9a8c\u8bc1\u6545\u4e8b\u677f\u6d41\u7545\u5ea6\u3002<\/li>\n<li><strong>\u6559\u80b2\u4e0e\u7814\u7a76<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u53ef\u4f7f\u7528\u8bc4\u4f30\u6570\u636e\u96c6\u548c\u8bad\u7ec3\u4ee3\u7801\uff0c\u63a2\u7d22\u52a8\u6f2b\u89c6\u9891\u751f\u6210\u6280\u672f\uff0c\u4f18\u5316\u6a21\u578b\u6216\u5f00\u53d1\u65b0\u7b97\u6cd5\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>\u5982\u4f55\u83b7\u53d6\u6a21\u578b\u6743\u91cd\u548c\u6570\u636e\u96c6\uff1f<\/strong><br \/>\n\u586b\u5199\u7533\u8bf7\u8868\uff08PDF\u683c\u5f0f\uff09\uff0c\u53d1\u9001\u81f3\u00a0<code>yangsiqian@bilibili.com<\/code>\u00a0\u6216\u00a0<code>xubaohan@bilibili.com<\/code>\u3002\u5ba1\u6838\u901a\u8fc7\u540e\uff0c\u83b7\u53d6\u4e0b\u8f7d\u94fe\u63a5\u3002<\/li>\n<li><strong>\u662f\u5426\u652f\u6301\u975e\u6607\u817e\u786c\u4ef6\uff1f<\/strong><br \/>\n\u662f\u7684\uff0c\u9879\u76ee\u652f\u6301 GPU \u73af\u5883\uff0c\u4f46\u6607\u817e NPU \u6027\u80fd\u66f4\u4f18\u3002\u786e\u4fdd\u5b89\u88c5\u517c\u5bb9\u7684 PyTorch \u7248\u672c\u3002<\/li>\n<li><strong>\u751f\u6210\u7684\u89c6\u9891\u8d28\u91cf\u5982\u4f55\uff1f<\/strong><br \/>\n\u6a21\u578b\u57fa\u4e8e CogVideoX \u548c Wan2.1 \u8bad\u7ec3\uff0c\u7ed3\u5408 RLHF \u4f18\u5316\uff0c\u751f\u6210\u89c6\u9891\u5728\u52a8\u4f5c\u548c\u98ce\u683c\u4e00\u81f4\u6027\u4e0a\u8fbe\u5230\u5148\u8fdb\u6c34\u5e73\uff0c\u9002\u5408\u591a\u79cd\u52a8\u6f2b\u573a\u666f\u3002<\/li>\n<li><strong>\u662f\u5426\u9700\u8981\u7f16\u7a0b\u7ecf\u9a8c\uff1f<\/strong><br \/>\n\u9700\u8981\u57fa\u7840 Python \u77e5\u8bc6\u8fd0\u884c\u811a\u672c\u3002\u975e\u5f00\u53d1\u8005\u53ef\u53c2\u8003\u6587\u6863\uff0c\u4f7f\u7528\u9884\u8bad\u7ec3\u6a21\u578b\u751f\u6210\u89c6\u9891\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Index-AniSora \u662f\u7531Bilibili\u5f00\u53d1\u5e76\u5f00\u6e90\u7684\u52a8\u6f2b\u89c6\u9891\u751f\u6210\u6a21\u578b\uff0c\u6258\u7ba1\u5728GitHub\u4e0a\u3002\u5b83\u4ee5CogVideoX-5B\u548cWan2.1-14B\u4e3a\u57fa\u7840\u6a21\u578b\uff0c\u652f\u6301\u751f\u6210\u591a\u6837\u5316\u7684\u52a8\u6f2b\u98ce\u683c\u89c6\u9891\uff0c\u5305\u62ec\u52a8\u753b\u5267\u96c6\u3001\u56fd\u4ea7\u539f\u521b\u52a8\u753b\u3001\u6f2b\u753b\u6539\u7f16\u3001VTube&#8230;<\/p>\n","protected":false},"author":1,"featured_media":32782,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,392,399],"tags":[195,230],"class_list":["post-32119","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","category-models","category-video-generation-model","tag-aituxiangzhuanshipin","tag-aikaiyuanxiangmu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/32119","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/comments?post=32119"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/32119\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media\/32782"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media?parent=32119"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/categories?post=32119"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/tags?post=32119"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}