{"id":19120,"date":"2025-01-23T01:07:27","date_gmt":"2025-01-22T17:07:27","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=19120"},"modified":"2025-01-23T01:07:27","modified_gmt":"2025-01-22T17:07:27","slug":"go-with-the-flow","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/go-with-the-flow\/","title":{"rendered":"Go-with-the-Flow\uff1a\u63a7\u5236\u89c6\u9891\u4e2d\u7269\u4f53\u7684\u8fd0\u52a8\u8f68\u8ff9\uff0c\u89c6\u9891\u4e2d\u589e\u51cf\u4efb\u4f55\u8fd0\u52a8\u7269\u4f53"},"content":{"rendered":"<p>Go-with-the-Flow \u662f\u4e00\u4e2a\u7531 Netflix Eyeline Studios \u7814\u7a76\u56e2\u961f\u5f00\u53d1\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u65e8\u5728\u901a\u8fc7\u626d\u66f2\u566a\u58f0\u63a7\u5236\u89c6\u9891\u6269\u6563\u6a21\u578b\u7684\u8fd0\u52a8\u6a21\u5f0f\u3002\u8be5\u9879\u76ee\u5141\u8bb8\u7528\u6237\u51b3\u5b9a\u573a\u666f\u4e2d\u76f8\u673a\u548c\u7269\u4f53\u7684\u8fd0\u52a8\u65b9\u5f0f\uff0c\u751a\u81f3\u53ef\u4ee5\u5c06\u4e00\u4e2a\u89c6\u9891\u7684\u8fd0\u52a8\u6a21\u5f0f\u8f6c\u79fb\u5230\u53e6\u4e00\u4e2a\u89c6\u9891\u4e2d\u3002Go-with-the-Flow \u901a\u8fc7\u5fae\u8c03\u57fa\u7840\u6a21\u578b\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\uff0c\u800c\u65e0\u9700\u66f4\u6539\u539f\u59cb\u7ba1\u9053\u6216\u67b6\u6784\u3002\u8be5\u9879\u76ee\u7684\u4ee3\u7801\u548c\u6a21\u578b\u5747\u4e3a\u5f00\u6e90\uff0c\u7528\u6237\u53ef\u4ee5\u81ea\u7531\u4f7f\u7528\u548c\u4fee\u6539\u3002<\/p>\n<p>ComfyUI\u8282\u70b9\uff1ahttps:\/\/github.com\/kijai\/ComfyUI-VideoNoiseWarp<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-19121\" title=\"Go-with-the-Flow\uff1a\u63a7\u5236\u89c6\u9891\u4e2d\u7269\u4f53\u7684\u8fd0\u52a8\u8f68\u8ff9\uff0c\u89c6\u9891\u4e2d\u589e\u51cf\u4efb\u4f55\u8fd0\u52a8\u7269\u4f53-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/34e962a4a0bb4c7.png\" alt=\"Go-with-the-Flow\uff1a\u63a7\u5236\u89c6\u9891\u4e2d\u7269\u4f53\u7684\u8fd0\u52a8\u8f68\u8ff9\uff0c\u89c6\u9891\u4e2d\u589e\u51cf\u4efb\u4f55\u8fd0\u52a8\u7269\u4f53-1\" width=\"673\" height=\"404\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/34e962a4a0bb4c7.png 673w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/34e962a4a0bb4c7-300x180.png 300w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/34e962a4a0bb4c7-18x12.png 18w\" sizes=\"auto, (max-width: 673px) 100vw, 673px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u526a\u5207\u548c\u62d6\u52a8\u8fd0\u52a8\u63a7\u5236<\/strong>\uff1a\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u526a\u5207\u56fe\u50cf\u7684\u4e0d\u540c\u90e8\u5206\u5e76\u62d6\u52a8\u5b83\u4eec\u6765\u521b\u5efa\u89c6\u9891\u3002<\/li>\n<li><strong>\u89c6\u9891\u6269\u6563<\/strong>\uff1a\u5c06\u7c97\u7565\u52a8\u753b\u8f6c\u6362\u4e3a\u7cbe\u7f8e\u52a8\u753b\uff0c\u9700\u4f7f\u7528 GPU\u3002<\/li>\n<li><strong>\u566a\u58f0\u626d\u66f2<\/strong>\uff1a\u4f7f\u7528\u626d\u66f2\u566a\u58f0\u4ee3\u66ff\u7eaf\u9ad8\u65af\u566a\u58f0\uff0c\u4ee5\u5b9e\u73b0\u66f4\u81ea\u7136\u7684\u8fd0\u52a8\u6548\u679c\u3002<\/li>\n<li><strong>\u8fd0\u52a8\u6a21\u5f0f\u8f6c\u79fb<\/strong>\uff1a\u5c06\u4e00\u4e2a\u89c6\u9891\u7684\u8fd0\u52a8\u6a21\u5f0f\u5e94\u7528\u5230\u53e6\u4e00\u4e2a\u89c6\u9891\u4e2d\u3002<\/li>\n<li><strong>\u56fe\u5f62\u7528\u6237\u754c\u9762 (GUI)<\/strong>\uff1a\u63d0\u4f9b\u672c\u5730 GUI \u4ee5\u4fbf\u7528\u6237\u521b\u5efa\u52a8\u753b\u3002<\/li>\n<li><strong>\u5f00\u6e90\u4ee3\u7801<\/strong>\uff1a\u6240\u6709\u4ee3\u7801\u548c\u6a21\u578b\u5747\u4e3a\u5f00\u6e90\uff0c\u7528\u6237\u53ef\u4ee5\u81ea\u7531\u8bbf\u95ee\u548c\u4fee\u6539\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<ol>\n<li>\u514b\u9686\u4ed3\u5e93\uff1a<\/li>\n<\/ol>\n<pre><code>   git clone https:\/\/github.com\/VGenAI-Netflix-Eyeline-Research\/Go-with-the-Flow.git\r\ncd Go-with-the-Flow\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li>\u5b89\u88c5\u672c\u5730\u4f9d\u8d56\uff1a<\/li>\n<\/ol>\n<pre><code>   pip install -r requirements_local.txt\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li>\u8fd0\u884c GUI\uff1a<\/li>\n<\/ol>\n<pre><code>   python cut_and_drag_gui.py\r\n<\/code><\/pre>\n<p>\u6309\u7167 GUI \u4e2d\u7684\u6307\u793a\u5b8c\u6210\u64cd\u4f5c\uff0c\u751f\u6210\u7684 MP4 \u6587\u4ef6\u9700\u8981\u8f6c\u79fb\u5230\u5177\u6709 GPU \u7684\u8ba1\u7b97\u673a\u4e0a\u7ee7\u7eed\u5904\u7406\u3002<\/p>\n<h3>\u4f7f\u7528\u6d41\u7a0b<\/h3>\n<ol>\n<li>\u5728\u5177\u6709 GPU \u7684\u8ba1\u7b97\u673a\u4e0a\u514b\u9686\u4ed3\u5e93\u5e76\u5b89\u88c5\u4f9d\u8d56\uff1a<\/li>\n<\/ol>\n<pre><code>   git clone https:\/\/github.com\/VGenAI-Netflix-Eyeline-Research\/Go-with-the-Flow.git\r\ncd Go-with-the-Flow\r\npip install -r requirements.txt\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li>\u626d\u66f2\u566a\u58f0\uff1a<\/li>\n<\/ol>\n<pre><code>   python make_warped_noise.py &lt;\u89c6\u9891\u8def\u5f84\u6216 URL&gt; --output_folder noise_warp_output_folder\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li>\u8fd0\u884c\u63a8\u7406\uff1a<\/li>\n<\/ol>\n<pre><code>   python cut_and_drag_inference.py noise_warp_output_folder \\\r\n--prompt \"A duck splashing\" \\\r\n--output_mp4_path \"output.mp4\" \\\r\n--device \"cuda\" \\\r\n--num_inference_steps 5\r\n<\/code><\/pre>\n<p>\u6839\u636e\u9700\u8981\u8c03\u6574\u6587\u4ef6\u5939\u8def\u5f84\u3001\u63d0\u793a\u8bcd\u548c\u5176\u4ed6\u8d85\u53c2\u6570\u3002\u8f93\u51fa\u5c06\u4fdd\u5b58\u4e3a <code>output.mp4<\/code>\u3002<\/p>\n<h3>\u4e3b\u8981\u529f\u80fd\u64cd\u4f5c<\/h3>\n<ul>\n<li><strong>\u526a\u5207\u548c\u62d6\u52a8\u8fd0\u52a8\u63a7\u5236<\/strong>\uff1a\u5728 GUI \u4e2d\u9009\u62e9\u56fe\u50cf\u7684\u4e0d\u540c\u90e8\u5206\u5e76\u62d6\u52a8\u5b83\u4eec\u4ee5\u521b\u5efa\u7c97\u7565\u52a8\u753b\u3002<\/li>\n<li><strong>\u89c6\u9891\u6269\u6563<\/strong>\uff1a\u5c06\u7c97\u7565\u52a8\u753b\u6587\u4ef6\u8f6c\u79fb\u5230\u5177\u6709 GPU \u7684\u8ba1\u7b97\u673a\u4e0a\uff0c\u8fd0\u884c\u63a8\u7406\u811a\u672c\u751f\u6210\u7cbe\u7f8e\u52a8\u753b\u3002<\/li>\n<li><strong>\u566a\u58f0\u626d\u66f2<\/strong>\uff1a\u4f7f\u7528 <code>make_warped_noise.py<\/code> \u811a\u672c\u751f\u6210\u626d\u66f2\u566a\u58f0\uff0c\u4ee5\u5b9e\u73b0\u66f4\u81ea\u7136\u7684\u8fd0\u52a8\u6548\u679c\u3002<\/li>\n<li><strong>\u8fd0\u52a8\u6a21\u5f0f\u8f6c\u79fb<\/strong>\uff1a\u901a\u8fc7\u8c03\u6574\u63d0\u793a\u8bcd\u548c\u8d85\u53c2\u6570\uff0c\u5c06\u4e00\u4e2a\u89c6\u9891\u7684\u8fd0\u52a8\u6a21\u5f0f\u5e94\u7528\u5230\u53e6\u4e00\u4e2a\u89c6\u9891\u4e2d\u3002<\/li>\n<\/ul>\n<h3>\u8be6\u7ec6\u64cd\u4f5c\u6d41\u7a0b<\/h3>\n<ol>\n<li><strong>\u526a\u5207\u548c\u62d6\u52a8<\/strong>\uff1a\u5728 GUI \u4e2d\u52a0\u8f7d\u56fe\u50cf\uff0c\u4f7f\u7528\u9f20\u6807\u9009\u62e9\u5e76\u62d6\u52a8\u56fe\u50cf\u7684\u4e0d\u540c\u90e8\u5206\uff0c\u521b\u5efa\u7c97\u7565\u52a8\u753b\u3002<\/li>\n<li><strong>\u751f\u6210\u626d\u66f2\u566a\u58f0<\/strong>\uff1a\u5728\u5177\u6709 GPU \u7684\u8ba1\u7b97\u673a\u4e0a\u8fd0\u884c <code>make_warped_noise.py<\/code> \u811a\u672c\uff0c\u751f\u6210\u626d\u66f2\u566a\u58f0\u6587\u4ef6\u3002<\/li>\n<li><strong>\u8fd0\u884c\u63a8\u7406<\/strong>\uff1a\u4f7f\u7528 <code>cut_and_drag_inference.py<\/code> \u811a\u672c\uff0c\u5c06\u7c97\u7565\u52a8\u753b\u8f6c\u6362\u4e3a\u7cbe\u7f8e\u52a8\u753b\uff0c\u8f93\u51fa\u4e3a MP4 \u6587\u4ef6\u3002<\/li>\n<li><strong>\u8c03\u6574\u53c2\u6570<\/strong>\uff1a\u6839\u636e\u9700\u8981\u8c03\u6574\u63d0\u793a\u8bcd\u3001\u8d85\u53c2\u6570\u548c\u6587\u4ef6\u8def\u5f84\uff0c\u4ee5\u83b7\u5f97\u6700\u4f73\u6548\u679c\u3002<\/li>\n<\/ol>\n<p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u521b\u5efa\u548c\u63a7\u5236\u89c6\u9891\u7684\u8fd0\u52a8\u6a21\u5f0f\uff0c\u5b9e\u73b0\u9ad8\u8d28\u91cf\u7684\u89c6\u9891\u751f\u6210\u548c\u52a8\u753b\u5236\u4f5c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Go-with-the-Flow \u662f\u4e00\u4e2a\u7531 Netflix Eyeline Studios \u7814\u7a76\u56e2\u961f\u5f00\u53d1\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u65e8\u5728\u901a\u8fc7\u626d\u66f2\u566a\u58f0\u63a7\u5236\u89c6\u9891\u6269\u6563\u6a21\u578b\u7684\u8fd0\u52a8\u6a21\u5f0f\u3002\u8be5\u9879\u76ee\u5141\u8bb8\u7528\u6237\u51b3\u5b9a\u573a\u666f\u4e2d\u76f8\u673a\u548c\u7269\u4f53\u7684\u8fd0\u52a8\u65b9\u5f0f\uff0c\u751a\u81f3\u53ef\u4ee5\u5c06\u4e00\u4e2a\u89c6\u9891\u7684\u8fd0\u52a8\u6a21\u5f0f\u8f6c\u79fb\u5230&#8230;<\/p>\n","protected":false},"author":1,"featured_media":61695,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,197],"class_list":["post-19120","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-aiyinshipinbianji"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/19120","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=19120"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/19120\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/61695"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=19120"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=19120"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=19120"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}