{"id":34703,"date":"2025-08-02T04:50:31","date_gmt":"2025-08-01T20:50:31","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=34703"},"modified":"2025-08-02T04:50:31","modified_gmt":"2025-08-01T20:50:31","slug":"skyworkunipictongai","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/skyworkunipictongai\/","title":{"rendered":"SkyworkUniPic\uff1a\u7edf\u4e00\u5904\u7406\u56fe\u50cf\u7406\u89e3\u4e0e\u751f\u6210\u7684\u5f00\u6e90\u6a21\u578b"},"content":{"rendered":"<p>SkyworkUniPic \u662f\u7531 SkyworkAI \u5f00\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u591a\u6a21\u6001\u6a21\u578b\uff0c\u4e13\u6ce8\u4e8e\u56fe\u50cf\u7406\u89e3\u3001\u6587\u672c\u751f\u6210\u56fe\u50cf\u548c\u56fe\u50cf\u7f16\u8f91\u3002\u5b83\u4f7f\u7528\u5355\u4e00\u7684 1.5 \u4ebf\u53c2\u6570\u67b6\u6784\uff0c\u6574\u5408\u4e86\u4e09\u79cd\u89c6\u89c9\u8bed\u8a00\u4efb\u52a1\u3002\u7528\u6237\u53ef\u4ee5\u5728\u6d88\u8d39\u7ea7 GPU\uff08\u5982 RTX 4090\uff09\u4e0a\u8fd0\u884c 1024\u00d71024 \u50cf\u7d20\u7684\u56fe\u50cf\u751f\u6210\u548c\u7f16\u8f91\u4efb\u52a1\u3002UniPic \u5728 GenEval\u3001DPG-Bench \u7b49\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u8868\u73b0\u4f18\u5f02\uff0c\u9002\u5408\u5f00\u53d1\u8005\u63a2\u7d22\u89c6\u89c9 AI \u5e94\u7528\u3002\u9879\u76ee\u4ee3\u7801\u548c\u6a21\u578b\u6743\u91cd\u5728 GitHub \u4e0a\u5f00\u653e\uff0c\u91c7\u7528 MIT \u8bb8\u53ef\u8bc1\uff0c\u9f13\u52b1\u81ea\u7531\u4f7f\u7528\u548c\u4fee\u6539\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-34704\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/65682bd55df6c91-scaled.png\" alt=\"\" width=\"2560\" height=\"1129\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/65682bd55df6c91-scaled.png 2560w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/65682bd55df6c91-1536x677.png 1536w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/65682bd55df6c91-2048x903.png 2048w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/65682bd55df6c91-18x8.png 18w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u56fe\u50cf\u7406\u89e3<\/strong>\uff1a\u5206\u6790\u8f93\u5165\u56fe\u50cf\u5185\u5bb9\uff0c\u56de\u7b54\u76f8\u5173\u95ee\u9898\u6216\u63d0\u53d6\u4fe1\u606f\u3002<\/li>\n<li><strong>\u6587\u672c\u751f\u6210\u56fe\u50cf<\/strong>\uff1a\u6839\u636e\u6587\u5b57\u63cf\u8ff0\u751f\u6210 1024\u00d71024 \u50cf\u7d20\u7684\u9ad8\u8d28\u91cf\u56fe\u50cf\u3002<\/li>\n<li><strong>\u56fe\u50cf\u7f16\u8f91<\/strong>\uff1a\u901a\u8fc7\u6587\u5b57\u6307\u4ee4\u4fee\u6539\u56fe\u50cf\uff0c\u4f8b\u5982\u66ff\u6362\u7279\u5b9a\u5143\u7d20\u6216\u8c03\u6574\u98ce\u683c\u3002<\/li>\n<li><strong>\u652f\u6301\u6d88\u8d39\u7ea7\u786c\u4ef6<\/strong>\uff1a\u5728 RTX 4090 \u7b49 GPU \u4e0a\u9ad8\u6548\u8fd0\u884c\uff0c\u65e0\u9700\u4e13\u4e1a\u8bbe\u5907\u3002<\/li>\n<li><strong>\u5f00\u6e90\u6a21\u578b\u6743\u91cd<\/strong>\uff1a\u63d0\u4f9b\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u5f00\u53d1\u8005\u53ef\u76f4\u63a5\u4e0b\u8f7d\u5e76\u5b9a\u5236\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>UniPic \u7684\u5b89\u88c5\u548c\u4f7f\u7528\u9700\u8981\u57fa\u672c\u7684 Python \u73af\u5883\u548c GPU \u652f\u6301\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u514b\u9686\u4ed3\u5e93<\/strong>\uff1a<br \/>\n\u6253\u5f00\u7ec8\u7aef\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u514b\u9686 UniPic \u4ed3\u5e93\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/SkyworkAI\/UniPic\r\ncd UniPic\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u521b\u5efa\u865a\u62df\u73af\u5883<\/strong>\uff1a<br \/>\n\u4f7f\u7528 conda \u521b\u5efa Python 3.10.14 \u73af\u5883\uff0c\u786e\u4fdd\u4f9d\u8d56\u9694\u79bb\uff1a<\/p>\n<pre><code>conda create -n unipic python=3.10.14\r\nconda activate unipic\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong>\uff1a<br \/>\n\u5b89\u88c5\u9879\u76ee\u6240\u9700\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>\uff1a<br \/>\nUniPic \u63d0\u4f9b\u9884\u8bad\u7ec3\u6a21\u578b\u6743\u91cd\uff0c\u9700\u4ece Hugging Face \u4e0b\u8f7d\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<pre><code>pip install -U \"huggingface_hub[cli]\"\r\nhuggingface-cli download Skywork\/Skywork-UniPic-1.5B --local-dir checkpoint --repo-type model\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf<\/strong>\uff1a<br \/>\n\u4e3a\u811a\u672c\u8fd0\u884c\u6dfb\u52a0\u9879\u76ee\u8def\u5f84\uff1a<\/p>\n<pre><code>export PYTHONPATH=.\/:$PYTHONPATH\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>\u529f\u80fd\u64cd\u4f5c\u6d41\u7a0b<\/h3>\n<p>UniPic \u652f\u6301\u4e09\u79cd\u4e3b\u8981\u529f\u80fd\uff1a\u56fe\u50cf\u7406\u89e3\u3001\u6587\u672c\u751f\u6210\u56fe\u50cf\u548c\u56fe\u50cf\u7f16\u8f91\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u64cd\u4f5c\u8bf4\u660e\uff1a<\/p>\n<h4>1. \u6587\u672c\u751f\u6210\u56fe\u50cf<\/h4>\n<p>\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u6587\u5b57\u63cf\u8ff0\u751f\u6210 1024\u00d71024 \u50cf\u7d20\u7684\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u751f\u6210\u4e00\u53ea\u91d1\u6bdb\u72ac\u7ad9\u5728\u516c\u56ed\u8349\u5730\u4e0a\u7684\u56fe\u50cf\uff1a<\/p>\n<ul>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a<br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff0c\u6307\u5b9a\u6a21\u578b\u914d\u7f6e\u6587\u4ef6\u3001\u6743\u91cd\u8def\u5f84\u548c\u6587\u5b57\u63d0\u793a\uff1a<\/p>\n<pre><code>python scripts\/text2image.py configs\/models\/qwen2_5_1_5b_kl16_mar_h.py \\\r\n--checkpoint checkpoint\/pytorch_model.bin \\\r\n--image_size 1024 \\\r\n--prompt \"A glossy-coated golden retriever stands on the park lawn beside a life-sized penguin statue.\" \\\r\n--output output.jpg\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6ce8\u610f\u4e8b\u9879<\/strong>\uff1a\n<ul>\n<li>\u76ee\u524d\u4ec5\u652f\u6301 1024\u00d71024 \u50cf\u7d20\u7684\u56fe\u50cf\u751f\u6210\u3002<\/li>\n<li>\u6587\u5b57\u63d0\u793a\u9700\u6e05\u6670\u5177\u4f53\uff0c\u4ee5\u83b7\u5f97\u66f4\u597d\u7684\u751f\u6210\u6548\u679c\u3002<\/li>\n<li>\u8f93\u51fa\u56fe\u50cf\u4fdd\u5b58\u5728\u6307\u5b9a\u7684\u00a0<code>output.jpg<\/code>\u00a0\u6587\u4ef6\u4e2d\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>2. \u56fe\u50cf\u7f16\u8f91<\/h4>\n<p>UniPic \u5141\u8bb8\u7528\u6237\u901a\u8fc7\u6587\u5b57\u6307\u4ee4\u4fee\u6539\u73b0\u6709\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u5c06\u56fe\u50cf\u4e2d\u7684\u661f\u661f\u66ff\u6362\u4e3a\u8721\u70db\uff1a<\/p>\n<ul>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a<br \/>\n\u51c6\u5907\u4e00\u5f20\u8f93\u5165\u56fe\u50cf\uff08\u4f8b\u5982\u00a0<code>data\/sample.png<\/code>\uff09\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<pre><code>python scripts\/image_edit.py configs\/models\/qwen2_5_1_5b_kl16_mar_h.py \\\r\n--checkpoint checkpoint\/pytorch_model.bin \\\r\n--image_size 1024 \\\r\n--image data\/sample.png \\\r\n--prompt \"Replace the stars with the candle.\" \\\r\n--output output.jpg\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6ce8\u610f\u4e8b\u9879<\/strong>\uff1a\n<ul>\n<li>\u8f93\u5165\u56fe\u50cf\u9700\u4e3a 1024\u00d71024 \u50cf\u7d20\u3002<\/li>\n<li>\u6587\u5b57\u6307\u4ee4\u9700\u660e\u786e\u63cf\u8ff0\u4fee\u6539\u5185\u5bb9\uff0c\u4f8b\u5982\u66ff\u6362\u3001\u6dfb\u52a0\u6216\u79fb\u9664\u5143\u7d20\u3002<\/li>\n<li>\u7f16\u8f91\u540e\u7684\u56fe\u50cf\u4fdd\u5b58\u4e3a\u00a0<code>output.jpg<\/code>\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>3. \u56fe\u50cf\u7406\u89e3<\/h4>\n<p>UniPic \u53ef\u4ee5\u5206\u6790\u56fe\u50cf\u5185\u5bb9\u5e76\u56de\u7b54\u76f8\u5173\u95ee\u9898\u3002\u5f53\u524d\u4ed3\u5e93\u672a\u63d0\u4f9b\u72ec\u7acb\u7684\u56fe\u50cf\u7406\u89e3\u811a\u672c\uff0c\u4f46\u5f00\u53d1\u8005\u53ef\u57fa\u4e8e\u6a21\u578b\u6743\u91cd\u548c Qwen2.5 \u6846\u67b6\u81ea\u5b9a\u4e49\u5b9e\u73b0\u3002<\/p>\n<ul>\n<li><strong>\u64cd\u4f5c\u5efa\u8bae<\/strong>\uff1a\n<ul>\n<li>\u4f7f\u7528 Hugging Face \u7684 Transformers \u5e93\u52a0\u8f7d\u6a21\u578b\u3002<\/li>\n<li>\u51c6\u5907\u56fe\u50cf\u548c\u95ee\u9898\uff0c\u8c03\u7528\u6a21\u578b\u7684\u63a8\u7406\u63a5\u53e3\u83b7\u53d6\u7b54\u6848\u3002<\/li>\n<li>\u53c2\u8003 SkyworkAI \u7684\u6587\u6863\u6216\u793e\u533a\u793a\u4f8b\u5b9e\u73b0\u5177\u4f53\u529f\u80fd\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>\u5176\u4ed6\u5b9e\u7528\u63d0\u793a<\/h3>\n<ul>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u63a8\u8350\u4f7f\u7528 NVIDIA RTX 4090 \u6216\u66f4\u9ad8\u914d\u7f6e\u7684 GPU\uff0c\u663e\u5b58\u81f3\u5c11 24GB\u3002<\/li>\n<li><strong>\u8c03\u8bd5\u95ee\u9898<\/strong>\uff1a\u5982\u679c\u9047\u5230\u4f9d\u8d56\u51b2\u7a81\uff0c\u68c0\u67e5 Python \u7248\u672c\u548c CUDA \u517c\u5bb9\u6027\u3002<\/li>\n<li><strong>\u793e\u533a\u652f\u6301<\/strong>\uff1a\u8bbf\u95ee GitHub \u4ed3\u5e93\u7684 Issues \u9875\u9762\uff0c\u67e5\u770b\u5e38\u89c1\u95ee\u9898\u6216\u63d0\u4ea4\u65b0\u95ee\u9898\u3002<\/li>\n<li><strong>\u6a21\u578b\u4f18\u5316<\/strong>\uff1a\u5f00\u53d1\u8005\u53ef\u5fae\u8c03\u6a21\u578b\u6743\u91cd\uff0c\u4ee5\u9002\u5e94\u7279\u5b9a\u4efb\u52a1\u6216\u6570\u636e\u96c6\u3002<\/li>\n<\/ul>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u5185\u5bb9\u521b\u4f5c<\/strong><br \/>\nUniPic \u9002\u5408\u535a\u4e3b\u3001\u8bbe\u8ba1\u5e08\u7b49\u521b\u4f5c\u8005\u751f\u6210\u9ad8\u8d28\u91cf\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u751f\u6210\u7b26\u5408\u54c1\u724c\u98ce\u683c\u7684\u5ba3\u4f20\u56fe\uff0c\u6216\u6839\u636e\u6587\u7ae0\u5185\u5bb9\u81ea\u52a8\u521b\u5efa\u63d2\u56fe\u3002<\/li>\n<li><strong>\u6559\u80b2\u4e0e\u7814\u7a76<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u53ef\u4f7f\u7528 UniPic \u63a2\u7d22\u591a\u6a21\u6001 AI \u7684\u80fd\u529b\u3002\u5b66\u751f\u53ef\u4ee5\u901a\u8fc7\u5f00\u6e90\u4ee3\u7801\u5b66\u4e60\u56fe\u50cf\u5904\u7406\u548c\u751f\u6210\u6280\u672f\u3002<\/li>\n<li><strong>\u7535\u5546\u4e0e\u5e7f\u544a<\/strong><br \/>\n\u5546\u5bb6\u53ef\u5229\u7528 UniPic \u7f16\u8f91\u4ea7\u54c1\u56fe\u7247\uff0c\u4f8b\u5982\u66f4\u6539\u80cc\u666f\u6216\u6dfb\u52a0\u4fc3\u9500\u5143\u7d20\uff0c\u63d0\u5347\u89c6\u89c9\u5438\u5f15\u529b\u3002<\/li>\n<li><strong>\u6e38\u620f\u5f00\u53d1<\/strong><br \/>\n\u5f00\u53d1\u8005\u53ef\u751f\u6210\u6e38\u620f\u573a\u666f\u6216\u89d2\u8272\u6982\u5ff5\u56fe\uff0c\u5feb\u901f\u8fed\u4ee3\u8bbe\u8ba1\u521b\u610f\u3002<\/li>\n<\/ol>\n<h2>QA<\/h2>\n<ol>\n<li><strong>UniPic \u652f\u6301\u54ea\u4e9b\u56fe\u50cf\u5206\u8fa8\u7387\uff1f<\/strong><br \/>\n\u5f53\u524d\u4ec5\u652f\u6301 1024\u00d71024 \u50cf\u7d20\u7684\u56fe\u50cf\u751f\u6210\u548c\u7f16\u8f91\u3002<\/li>\n<li><strong>\u662f\u5426\u9700\u8981\u4e13\u4e1a GPU \u8fd0\u884c UniPic\uff1f<\/strong><br \/>\n\u4e0d\u9700\u8981\u3002\u6d88\u8d39\u7ea7 GPU\uff08\u5982 RTX 4090\uff09\u5373\u53ef\u8fd0\u884c\uff0c\u663e\u5b58\u5efa\u8bae 24GB \u4ee5\u4e0a\u3002<\/li>\n<li><strong>\u5982\u4f55\u83b7\u53d6\u6a21\u578b\u6743\u91cd\uff1f<\/strong><br \/>\n\u901a\u8fc7 Hugging Face \u4e0b\u8f7d\uff0c\u8fd0\u884c\u00a0<code>huggingface-cli download Skywork\/Skywork-UniPic-1.5B<\/code>\u00a0\u547d\u4ee4\u3002<\/li>\n<li><strong>UniPic \u53ef\u4ee5\u5546\u7528\u5417\uff1f<\/strong><br \/>\n\u53ef\u4ee5\u3002UniPic \u91c7\u7528 MIT \u8bb8\u53ef\u8bc1\uff0c\u5141\u8bb8\u5546\u4e1a\u4f7f\u7528\u3001\u4fee\u6539\u548c\u5206\u53d1\u3002<\/li>\n<li><strong>\u56fe\u50cf\u751f\u6210\u8d28\u91cf\u5982\u4f55\uff1f<\/strong><br \/>\nUniPic \u5728 GenEval \u5f97\u5206 0.86\uff0cDPG-Bench \u5f97\u5206 85.5\uff0c\u751f\u6210\u8d28\u91cf\u4f18\u4e8e\u90e8\u5206\u66f4\u5927\u6a21\u578b\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>SkyworkUniPic \u662f\u7531 SkyworkAI \u5f00\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u591a\u6a21\u6001\u6a21\u578b\uff0c\u4e13\u6ce8\u4e8e\u56fe\u50cf\u7406\u89e3\u3001\u6587\u672c\u751f\u6210\u56fe\u50cf\u548c\u56fe\u50cf\u7f16\u8f91\u3002\u5b83\u4f7f\u7528\u5355\u4e00\u7684 1.5 \u4ebf\u53c2\u6570\u67b6\u6784\uff0c\u6574\u5408\u4e86\u4e09\u79cd\u89c6\u89c9\u8bed\u8a00\u4efb\u52a1\u3002\u7528\u6237\u53ef\u4ee5\u5728\u6d88\u8d39\u7ea7 GPU\uff08\u5982 RTX 4090\uff09\u4e0a\u8fd0\u884c 102&#8230;<\/p>\n","protected":false},"author":1,"featured_media":32782,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,398,392],"tags":[230],"class_list":["post-34703","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","category-image-generation-model","category-models","tag-aikaiyuanxiangmu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/34703","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=34703"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/34703\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/32782"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=34703"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=34703"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=34703"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}