{"id":31665,"date":"2025-05-22T23:11:13","date_gmt":"2025-05-22T15:11:13","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=31665"},"modified":"2025-05-22T23:12:02","modified_gmt":"2025-05-22T15:12:02","slug":"bagel","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/bagel\/","title":{"rendered":"BAGEL"},"content":{"rendered":"<p>BAGEL \u662f\u7531 ByteDance Seed \u56e2\u961f\u5f00\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u591a\u6a21\u6001\u57fa\u7840\u6a21\u578b\uff0c\u6258\u7ba1\u4e8e GitHub\u3002\u5b83\u96c6\u6210\u4e86\u6587\u672c\u7406\u89e3\u3001\u56fe\u50cf\u751f\u6210\u548c\u7f16\u8f91\u529f\u80fd\uff0c\u652f\u6301\u8de8\u6a21\u6001\u4efb\u52a1\u3002\u6a21\u578b\u62e5\u6709 7B \u6d3b\u8dc3\u53c2\u6570\uff08\u603b\u8ba1 14B \u53c2\u6570\uff09\uff0c\u91c7\u7528 Mixture-of-Transformer-Experts (MoT) \u67b6\u6784\uff0c\u901a\u8fc7\u5927\u89c4\u6a21\u4ea4\u9519\u591a\u6a21\u6001\u6570\u636e\u8bad\u7ec3\u3002BAGEL \u5728\u591a\u6a21\u6001\u7406\u89e3\u548c\u751f\u6210\u4efb\u52a1\u4e2d\u8868\u73b0\u51fa\u8272\uff0c\u8d85\u8d8a\u4e86 <a href=\"https:\/\/www.kdjingpai.com\/ja\/qwen25-vl\/\">Qwen2.5-VL<\/a> \u548c InternVL-2.5 \u7b49\u5f00\u6e90\u6a21\u578b\uff0c\u56fe\u50cf\u751f\u6210\u8d28\u91cf\u53ef\u5ab2\u7f8e SD3\u3002\u5b83\u652f\u6301\u81ea\u7531\u5f62\u5f0f\u7684\u56fe\u50cf\u7f16\u8f91\u3001\u89c6\u9891\u5e8f\u5217\u751f\u6210\u548c 3D \u7a7a\u95f4\u7406\u89e3\u7b49\u9ad8\u7ea7\u529f\u80fd\uff0c\u9002\u7528\u4e8e\u5f00\u53d1\u8005\u548c\u7814\u7a76\u4eba\u5458\u63a2\u7d22 AI \u5e94\u7528\u3002\u9879\u76ee\u63d0\u4f9b\u8be6\u7ec6\u7684\u5b89\u88c5\u548c\u63a8\u7406\u6307\u5357\uff0c\u65b9\u4fbf\u7528\u6237\u5feb\u901f\u4e0a\u624b\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-31666\" title=\"BAGEL-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/c479d80d7b6efa1.jpg\" alt=\"BAGEL-1\" width=\"2240\" height=\"2560\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u652f\u6301\u6587\u672c\u5230\u56fe\u50cf\u7684\u751f\u6210\uff0c\u53ef\u57fa\u4e8e\u6587\u672c\u63d0\u793a\u751f\u6210\u9ad8\u8d28\u91cf\u56fe\u50cf\u3002<\/li>\n<li>\u63d0\u4f9b\u56fe\u50cf\u7406\u89e3\u529f\u80fd\uff0c\u80fd\u591f\u5206\u6790\u56fe\u50cf\u5185\u5bb9\u5e76\u56de\u7b54\u76f8\u5173\u95ee\u9898\u3002<\/li>\n<li>\u652f\u6301\u81ea\u7531\u5f62\u5f0f\u7684\u56fe\u50cf\u7f16\u8f91\uff0c\u901a\u8fc7\u6587\u672c\u6307\u4ee4\u4fee\u6539\u56fe\u50cf\u7ec6\u8282\u3002<\/li>\n<li>\u5b9e\u73b0\u89c6\u9891\u5e8f\u5217\u751f\u6210\uff0c\u53ef\u57fa\u4e8e\u6587\u672c\u751f\u6210\u52a8\u6001\u89c6\u9891\u5185\u5bb9\u3002<\/li>\n<li>\u63d0\u4f9b\u591a\u6a21\u6001\u63a8\u7406\u80fd\u529b\uff0c\u878d\u5408\u6587\u672c\u3001\u56fe\u50cf\u548c\u89c6\u9891\u6570\u636e\u8fdb\u884c\u590d\u6742\u4efb\u52a1\u3002<\/li>\n<li>\u652f\u6301 3D \u7a7a\u95f4\u7406\u89e3\uff0c\u9002\u7528\u4e8e\u591a\u89c6\u56fe\u5408\u6210\u548c\u4e16\u754c\u5bfc\u822a\u4efb\u52a1\u3002<\/li>\n<li>\u63d0\u4f9b\u8bc4\u4f30\u811a\u672c\uff0c\u7528\u4e8e\u89c6\u89c9\u8bed\u8a00\u6a21\u578b (VLM)\u3001\u6587\u672c\u5230\u56fe\u50cf (T2I) \u548c\u56fe\u50cf\u7f16\u8f91\u57fa\u51c6\u6d4b\u8bd5\u3002<\/li>\n<li>\u5f00\u6e90\u4ee3\u7801\u548c\u6a21\u578b\u6743\u91cd\uff0c\u5141\u8bb8\u7528\u6237\u81ea\u5b9a\u4e49\u8bad\u7ec3\u548c\u5fae\u8c03\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 BAGEL\uff0c\u9700\u8981\u5728\u672c\u5730\u73af\u5883\u4e2d\u5b89\u88c5\u5e76\u914d\u7f6e\u76f8\u5173\u4f9d\u8d56\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u514b\u9686\u4ed3\u5e93<\/strong><br \/>\n\u4f7f\u7528 Git \u514b\u9686 BAGEL \u9879\u76ee\u5230\u672c\u5730\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/bytedance-seed\/BAGEL.git\r\ncd BAGEL\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u521b\u5efa\u865a\u62df\u73af\u5883<\/strong><br \/>\n\u4f7f\u7528 Conda \u521b\u5efa Python 3.10 \u73af\u5883\u5e76\u6fc0\u6d3b\uff1a<\/p>\n<pre><code>conda create -n bagel python=3.10 -y\r\nconda activate bagel\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u5728\u9879\u76ee\u76ee\u5f55\u4e0b\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff0c\u5b89\u88c5\u5fc5\u8981\u7684 Python \u5e93\uff1a<\/p>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd<\/strong><br \/>\nBAGEL \u7684\u6a21\u578b\u6743\u91cd\u6258\u7ba1\u5728 Hugging Face \u4e0a\u3002\u8fd0\u884c\u4ee5\u4e0b Python \u811a\u672c\u4e0b\u8f7d\u6a21\u578b\uff1a<\/p>\n<pre><code>from huggingface_hub import snapshot_download\r\nsave_dir = \"\/path\/to\/save\/BAGEL-7B-MoT\"\r\nrepo_id = \"ByteDance-Seed\/BAGEL-7B-MoT\"\r\ncache_dir = save_dir + \"\/cache\"\r\nsnapshot_download(\r\ncache_dir=cache_dir,\r\nlocal_dir=save_dir,\r\nrepo_id=repo_id,\r\nlocal_dir_use_symlinks=False,\r\nresume_download=True,\r\nallow_patterns=[\"*.json\", \"*.safetensors\", \"*.bin\", \"*.py\", \"*.md\", \"*.txt\"]\r\n)\r\n<\/code><\/pre>\n<p>\u5c06\u00a0<code>\/path\/to\/save\/BAGEL-7B-MoT<\/code>\u00a0\u66ff\u6362\u4e3a\u4f60\u5e0c\u671b\u4fdd\u5b58\u6a21\u578b\u7684\u672c\u5730\u8def\u5f84\u3002<\/li>\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong><br \/>\n\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6253\u5f00\u9879\u76ee\u4e2d\u7684\u00a0<code>inference.ipynb<\/code>\u00a0\u6587\u4ef6\uff0c\u6309\u7167 notebook \u4e2d\u7684\u6307\u5f15\u8fd0\u884c\u793a\u4f8b\u4ee3\u7801\uff0c\u9a8c\u8bc1\u6a21\u578b\u662f\u5426\u6b63\u5e38\u52a0\u8f7d\u3002<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>BAGEL \u7684\u6838\u5fc3\u529f\u80fd\u901a\u8fc7 Jupyter Notebook \u6216 Python \u811a\u672c\u8c03\u7528\u3002\u4ee5\u4e0b\u662f\u4e3b\u8981\u529f\u80fd\u7684\u8be6\u7ec6\u64cd\u4f5c\u6d41\u7a0b\uff1a<\/p>\n<h4>1. \u6587\u672c\u5230\u56fe\u50cf\u751f\u6210<\/h4>\n<p>BAGEL \u652f\u6301\u901a\u8fc7\u6587\u672c\u63d0\u793a\u751f\u6210\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u5728\u00a0<code>inference.ipynb<\/code>\u00a0\u4e2d\u52a0\u8f7d\u6a21\u578b\u540e\uff0c\u8f93\u5165\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<pre><code>prompt = \"\u4e00\u5f20\u5915\u9633\u4e0b\u7684\u6d77\u6ee9\uff0c\u6930\u6811\u6447\u66f3\uff0c\u6d6a\u82b1\u62cd\u5cb8\"\r\nimage = model.generate_image(prompt)\r\nimage.save(\"output\/beach_sunset.png\")\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ul>\n<li>\u786e\u4fdd\u6a21\u578b\u5df2\u52a0\u8f7d\u3002<\/li>\n<li>\u5728 notebook \u4e2d\u8f93\u5165\u6587\u672c\u63d0\u793a\u3002<\/li>\n<li>\u8fd0\u884c\u751f\u6210\u4ee3\u7801\uff0c\u6a21\u578b\u4f1a\u8f93\u51fa\u56fe\u50cf\u5e76\u4fdd\u5b58\u5230\u6307\u5b9a\u8def\u5f84\u3002<\/li>\n<li>\u68c0\u67e5\u8f93\u51fa\u56fe\u50cf\u7684\u8d28\u91cf\u548c\u5185\u5bb9\u662f\u5426\u7b26\u5408\u63d0\u793a\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>2. \u56fe\u50cf\u7406\u89e3<\/h4>\n<p>BAGEL \u53ef\u4ee5\u5206\u6790\u56fe\u50cf\u5e76\u56de\u7b54\u76f8\u5173\u95ee\u9898\u3002\u4f8b\u5982\uff0c\u4e0a\u4f20\u4e00\u5f20\u56fe\u7247\u5e76\u63d0\u95ee\uff1a<\/p>\n<pre><code>image_path = \"sample_image.jpg\"\r\nquestion = \"\u56fe\u7247\u4e2d\u7684\u4e3b\u8981\u7269\u4f53\u662f\u4ec0\u4e48\uff1f\"\r\nanswer = model.analyze_image(image_path, question)\r\nprint(answer)\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ul>\n<li>\u51c6\u5907\u4e00\u5f20\u56fe\u7247\u5e76\u6307\u5b9a\u8def\u5f84\u3002<\/li>\n<li>\u8f93\u5165\u95ee\u9898\uff0c\u8fd0\u884c\u4ee3\u7801\u3002<\/li>\n<li>\u6a21\u578b\u4f1a\u8fd4\u56de\u57fa\u4e8e\u56fe\u50cf\u5185\u5bb9\u7684\u56de\u7b54\uff0c\u4f8b\u5982\u201c\u56fe\u7247\u4e2d\u7684\u4e3b\u8981\u7269\u4f53\u662f\u4e00\u53ea\u732b\u201d\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>3. \u56fe\u50cf\u7f16\u8f91<\/h4>\n<p>BAGEL \u652f\u6301\u901a\u8fc7\u6587\u672c\u6307\u4ee4\u7f16\u8f91\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u5c06\u56fe\u7247\u4e2d\u7684\u80cc\u666f\u66ff\u6362\u4e3a\u68ee\u6797\uff1a<\/p>\n<pre><code>image_path = \"input_image.jpg\"\r\ninstruction = \"\u5c06\u80cc\u666f\u66ff\u6362\u4e3a\u90c1\u90c1\u8471\u8471\u7684\u68ee\u6797\"\r\nedited_image = model.edit_image(image_path, instruction)\r\nedited_image.save(\"output\/edited_forest.png\")\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ul>\n<li>\u4e0a\u4f20\u9700\u8981\u7f16\u8f91\u7684\u56fe\u7247\u3002<\/li>\n<li>\u8f93\u5165\u5177\u4f53\u7684\u7f16\u8f91\u6307\u4ee4\u3002<\/li>\n<li>\u8fd0\u884c\u4ee3\u7801\uff0c\u68c0\u67e5\u8f93\u51fa\u56fe\u50cf\u662f\u5426\u7b26\u5408\u8981\u6c42\u3002<\/li>\n<li>\u6ce8\u610f\uff1a\u5f53\u524d\u56fe\u50cf\u7f16\u8f91\u53ef\u80fd\u5bfc\u81f4\u6e05\u6670\u5ea6\u4e0b\u964d\uff0c\u4f46\u6548\u679c\u4ecd\u5728\u4f18\u5316\u4e2d\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>4. \u89c6\u9891\u5e8f\u5217\u751f\u6210<\/h4>\n<p>BAGEL \u652f\u6301\u57fa\u4e8e\u6587\u672c\u751f\u6210\u89c6\u9891\u5e8f\u5217\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code>prompt = \"\u4e00\u53ea\u732b\u5728\u8349\u5730\u4e0a\u8ffd\u9010\u8774\u8776\"\r\nvideo = model.generate_video(prompt)\r\nvideo.save(\"output\/cat_chasing_butterfly.mp4\")\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ul>\n<li>\u8f93\u5165\u89c6\u9891\u751f\u6210\u63d0\u793a\u3002<\/li>\n<li>\u8fd0\u884c\u751f\u6210\u4ee3\u7801\uff0c\u6a21\u578b\u4f1a\u8f93\u51fa\u77ed\u89c6\u9891\u5e8f\u5217\u3002<\/li>\n<li>\u68c0\u67e5\u89c6\u9891\u5185\u5bb9\u662f\u5426\u7b26\u5408\u63cf\u8ff0\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>5. \u8bc4\u4f30\u6a21\u578b\u6027\u80fd<\/h4>\n<p>BAGEL \u63d0\u4f9b\u8bc4\u4f30\u811a\u672c\uff0c\u7528\u4e8e\u6d4b\u8bd5\u6a21\u578b\u5728\u89c6\u89c9\u8bed\u8a00\u7406\u89e3\u3001\u56fe\u50cf\u751f\u6210\u548c\u7f16\u8f91\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\u3002\u8fd0\u884c\u8bc4\u4f30\uff1a<\/p>\n<pre><code>cd EVAL\r\npython run_benchmarks.py\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ul>\n<li>\u8fdb\u5165\u00a0<code>EVAL<\/code>\u00a0\u76ee\u5f55\u3002<\/li>\n<li>\u6267\u884c\u8bc4\u4f30\u811a\u672c\uff0c\u67e5\u770b\u6a21\u578b\u5728\u6807\u51c6\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u7684\u8868\u73b0\u3002<\/li>\n<li>\u7ed3\u679c\u4f1a\u663e\u793a\u5728\u7ec8\u7aef\u6216\u4fdd\u5b58\u4e3a\u65e5\u5fd7\u6587\u4ef6\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>\u786e\u4fdd\u786c\u4ef6\u652f\u6301\uff1aBAGEL \u9700\u8981 GPU \u52a0\u901f\uff0c\u63a8\u8350\u4f7f\u7528 NVIDIA GPU\uff0c\u663e\u5b58\u81f3\u5c11 16GB\u3002<\/li>\n<li>\u68c0\u67e5\u7f51\u7edc\u8fde\u63a5\uff1a\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd\u9700\u8981\u7a33\u5b9a\u7684\u7f51\u7edc\u3002<\/li>\n<li>\u53c2\u8003\u6587\u6863\uff1a\u9879\u76ee\u4e2d\u7684\u00a0<code>README.md<\/code>\u00a0\u548c\u00a0<code>inference.ipynb<\/code>\u00a0\u63d0\u4f9b\u8be6\u7ec6\u7684\u4ee3\u7801\u793a\u4f8b\u548c\u53c2\u6570\u8bf4\u660e\u3002<\/li>\n<li>\u793e\u533a\u652f\u6301\uff1a\u5982\u9047\u95ee\u9898\uff0c\u53ef\u5728 GitHub Issues \u9875\u9762\u63d0\u4ea4\u95ee\u9898\uff0c\u6216\u53c2\u8003 Hugging Face \u4e0a\u7684\u8ba8\u8bba\u3002[](https:\/\/github.com\/ByteDance-Seed\/Bagel)<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u5185\u5bb9\u521b\u4f5c<\/strong><br \/>\nBAGEL \u53ef\u7528\u4e8e\u751f\u6210\u535a\u5ba2\u914d\u56fe\u3001\u793e\u4ea4\u5a92\u4f53\u5185\u5bb9\u6216\u89c6\u9891\u7247\u6bb5\u3002\u521b\u4f5c\u8005\u8f93\u5165\u6587\u672c\u63cf\u8ff0\uff0c\u5feb\u901f\u751f\u6210\u7b26\u5408\u4e3b\u9898\u7684\u56fe\u50cf\u6216\u77ed\u89c6\u9891\uff0c\u8282\u7701\u8bbe\u8ba1\u65f6\u95f4\u3002<\/li>\n<li><strong>\u6559\u80b2\u4e0e\u7814\u7a76<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u53ef\u5229\u7528 BAGEL \u8fdb\u884c\u591a\u6a21\u6001 AI \u5b9e\u9a8c\uff0c\u6d4b\u8bd5\u6587\u672c\u4e0e\u56fe\u50cf\u7684\u4ea4\u4e92\u80fd\u529b\u3002\u5b66\u751f\u53ef\u901a\u8fc7\u5f00\u6e90\u4ee3\u7801\u5b66\u4e60 AI \u6a21\u578b\u7684\u5f00\u53d1\u548c\u90e8\u7f72\u3002<\/li>\n<li><strong>\u4ea7\u54c1\u539f\u578b\u8bbe\u8ba1<\/strong><br \/>\n\u5f00\u53d1\u8005\u53ef\u57fa\u4e8e BAGEL \u5f00\u53d1\u4ea4\u4e92\u5f0f\u5e94\u7528\uff0c\u4f8b\u5982\u667a\u80fd\u56fe\u50cf\u7f16\u8f91\u5de5\u5177\u6216\u57fa\u4e8e\u6587\u672c\u7684\u89c6\u9891\u751f\u6210\u5e94\u7528\uff0c\u7528\u4e8e\u5feb\u901f\u6784\u5efa\u4ea7\u54c1\u539f\u578b\u3002<\/li>\n<li><strong>\u6e38\u620f\u5f00\u53d1<\/strong><br \/>\nBAGEL \u7684 3D \u7a7a\u95f4\u7406\u89e3\u548c\u56fe\u50cf\u751f\u6210\u529f\u80fd\u53ef\u7528\u4e8e\u751f\u6210\u6e38\u620f\u573a\u666f\u6216\u52a8\u6001\u7d20\u6750\uff0c\u964d\u4f4e\u5f00\u53d1\u6210\u672c\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>BAGEL \u652f\u6301\u54ea\u4e9b\u8bed\u8a00\uff1f<\/strong><br \/>\nBAGEL \u4e3b\u8981\u652f\u6301\u82f1\u6587\u548c\u4e2d\u6587\u7684\u6587\u672c\u8f93\u5165\u548c\u8f93\u51fa\u3002\u5176\u4ed6\u8bed\u8a00\u7684\u652f\u6301\u53ef\u80fd\u56e0\u8bad\u7ec3\u6570\u636e\u9650\u5236\u800c\u6548\u679c\u8f83\u5dee\u3002<\/li>\n<li><strong>\u9700\u8981\u591a\u5927\u7684\u8ba1\u7b97\u8d44\u6e90\uff1f<\/strong><br \/>\n\u8fd0\u884c BAGEL \u63a8\u8350\u4f7f\u7528\u81f3\u5c11 16GB \u663e\u5b58\u7684 GPU\u3002CPU \u8fd0\u884c\u53ef\u80fd\u8f83\u6162\uff0c\u4e14\u4e0d\u9002\u5408\u751f\u6210\u4efb\u52a1\u3002<\/li>\n<li><strong>\u5982\u4f55\u8d21\u732e\u4ee3\u7801\u6216\u6539\u8fdb\u6a21\u578b\uff1f<\/strong><br \/>\n\u53ef\u5728 GitHub \u4ed3\u5e93\u63d0\u4ea4 Pull Request\u3002\u8bad\u7ec3\u548c\u5fae\u8c03\u6587\u6863\u5373\u5c06\u53d1\u5e03\uff0c\u53c2\u8003\u00a0<code>README.md<\/code>\u00a0\u83b7\u53d6\u66f4\u65b0\u3002<\/li>\n<li><strong>\u56fe\u50cf\u751f\u6210\u8d28\u91cf\u5982\u4f55\uff1f<\/strong><br \/>\nBAGEL \u7684\u56fe\u50cf\u751f\u6210\u8d28\u91cf\u63a5\u8fd1 SD3\uff0c\u4f46\u5728\u590d\u6742\u573a\u666f\u6216\u9ad8\u5206\u8fa8\u7387\u4e0b\u53ef\u80fd\u9700\u8981\u8fdb\u4e00\u6b65\u4f18\u5316\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>BAGEL \u662f\u7531 ByteDance Seed \u56e2\u961f\u5f00\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u591a\u6a21\u6001\u57fa\u7840\u6a21\u578b\uff0c\u6258\u7ba1\u4e8e GitHub\u3002\u5b83\u96c6\u6210\u4e86\u6587\u672c\u7406\u89e3\u3001\u56fe\u50cf\u751f\u6210\u548c\u7f16\u8f91\u529f\u80fd\uff0c\u652f\u6301\u8de8\u6a21\u6001\u4efb\u52a1\u3002\u6a21\u578b\u62e5\u6709 7B \u6d3b\u8dc3\u53c2\u6570\uff08\u603b\u8ba1 14B \u53c2\u6570\uff09\uff0c\u91c7\u7528 Mixture-of-Tra&#8230;<\/p>\n","protected":false},"author":1,"featured_media":62339,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[392,402],"tags":[259,230,374],"class_list":["post-31665","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-models","category-multimodal-models","tag-aituxiangbianji","tag-aikaiyuanxiangmu","tag-duandaoduanyuyinzhubei"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/31665","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=31665"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/31665\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media\/62339"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media?parent=31665"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/categories?post=31665"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/tags?post=31665"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}