{"id":27274,"date":"2025-03-02T09:56:48","date_gmt":"2025-03-02T01:56:48","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=27274"},"modified":"2025-03-02T09:58:36","modified_gmt":"2025-03-02T01:58:36","slug":"videograin","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/videograin\/","title":{"rendered":"VideoGrain\uff1a\u6587\u672c\u63d0\u793a\u5bf9\u89c6\u9891\u8fdb\u884c\u5c40\u90e8\u7f16\u8f91\u7684\u5f00\u6e90\u9879\u76ee"},"content":{"rendered":"<p>VideoGrain \u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u591a\u7c92\u5ea6\u89c6\u9891\u7f16\u8f91\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u7531 xAI \u56e2\u961f\u5f00\u53d1\u5e76\u5728 GitHub \u4e0a\u6258\u7ba1\u3002\u8fd9\u4e2a\u9879\u76ee\u51fa\u81ea\u8bba\u6587\u300aVideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing\u300b\uff0c\u5df2\u5165\u9009 ICLR 2025 \u4f1a\u8bae\u3002\u5b83\u901a\u8fc7\u8c03\u5236\u6269\u6563\u6a21\u578b\u4e2d\u7684\u65f6\u7a7a\u6ce8\u610f\u529b\u673a\u5236\uff0c\u5b9e\u73b0\u5bf9\u89c6\u9891\u5185\u5bb9\u5728\u7c7b\u522b\u3001\u5b9e\u4f8b\u548c\u5c40\u90e8\u4e09\u4e2a\u5c42\u9762\u7684\u7cbe\u7ec6\u5316\u7f16\u8f91\u3002\u76f8\u6bd4\u4f20\u7edf\u65b9\u6cd5\uff0cVideoGrain \u89e3\u51b3\u4e86\u6587\u672c\u4e0e\u533a\u57df\u63a7\u5236\u7684\u8bed\u4e49\u5bf9\u9f50\u95ee\u9898\u548c\u7279\u5f81\u8026\u5408\u96be\u9898\uff0c\u80fd\u5728\u65e0\u9700\u989d\u5916\u8bad\u7ec3\u7684\u60c5\u51b5\u4e0b\u5b8c\u6210\u9ad8\u8d28\u91cf\u7f16\u8f91\u3002\u9879\u76ee\u63d0\u4f9b\u5b8c\u6574\u4ee3\u7801\u3001\u5b89\u88c5\u6307\u5357\u548c\u9884\u8bad\u7ec3\u6a21\u578b\u4e0b\u8f7d\uff0c\u9002\u5408\u5f00\u53d1\u8005\u3001\u7814\u7a76\u8005\u548c\u89c6\u9891\u7f16\u8f91\u7231\u597d\u8005\u4f7f\u7528\uff0c\u76ee\u524d\u5df2\u5728\u5b66\u672f\u754c\u548c\u5f00\u6e90\u793e\u533a\u5f15\u53d1\u5173\u6ce8\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27275\" title=\"VideoGrain\uff1a\u6587\u672c\u63d0\u793a\u5bf9\u89c6\u9891\u8fdb\u884c\u5c40\u90e8\u7f16\u8f91\u7684\u5f00\u6e90\u9879\u76ee-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/771d18069992a7f.png\" alt=\"VideoGrain\uff1a\u6587\u672c\u63d0\u793a\u5bf9\u89c6\u9891\u8fdb\u884c\u5c40\u90e8\u7f16\u8f91\u7684\u5f00\u6e90\u9879\u76ee-1\" width=\"922\" height=\"400\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/771d18069992a7f.png 922w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/771d18069992a7f-768x333.png 768w\" sizes=\"auto, (max-width: 922px) 100vw, 922px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u591a\u7c92\u5ea6\u89c6\u9891\u7f16\u8f91<\/strong>\uff1a\u652f\u6301\u5bf9\u89c6\u9891\u4e2d\u7684\u7c7b\u522b\uff08\u5982\u5c06\u201c\u4eba\u201d\u66ff\u6362\u4e3a\u201c\u673a\u5668\u4eba\u201d\uff09\u3001\u5b9e\u4f8b\uff08\u5982\u7279\u5b9a\u5bf9\u8c61\uff09\u548c\u5c40\u90e8\u7ec6\u8282\uff08\u5982\u624b\u90e8\u52a8\u4f5c\uff09\u8fdb\u884c\u7cbe\u51c6\u4fee\u6539\u3002<\/li>\n<li><strong>\u96f6\u6837\u672c\u7f16\u8f91\u80fd\u529b<\/strong>\uff1a\u65e0\u9700\u9488\u5bf9\u7279\u5b9a\u89c6\u9891\u91cd\u65b0\u8bad\u7ec3\uff0c\u76f4\u63a5\u8f93\u5165\u6587\u672c\u63d0\u793a\u5373\u53ef\u5b8c\u6210\u7f16\u8f91\u3002<\/li>\n<li><strong>\u65f6\u7a7a\u6ce8\u610f\u529b\u8c03\u5236<\/strong>\uff1a\u901a\u8fc7\u589e\u5f3a\u8de8\u6ce8\u610f\u529b\uff08\u6587\u672c\u5230\u533a\u57df\uff09\u548c\u81ea\u6ce8\u610f\u529b\uff08\u533a\u57df\u5185\u7279\u5f81\u5206\u79bb\uff09\uff0c\u63d0\u5347\u7f16\u8f91\u51c6\u786e\u5ea6\u548c\u89c6\u9891\u8d28\u91cf\u3002<\/li>\n<li><strong>\u5f00\u6e90\u4ee3\u7801\u4e0e\u6a21\u578b<\/strong>\uff1a\u63d0\u4f9b\u5b8c\u6574\u5b9e\u73b0\u4ee3\u7801\u548c\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u65b9\u4fbf\u7528\u6237\u590d\u73b0\u548c\u6269\u5c55\u3002<\/li>\n<li><strong>\u517c\u5bb9\u6269\u6563\u6a21\u578b<\/strong>\uff1a\u57fa\u4e8e diffusers \u548c FateZero \u7b49\u6846\u67b6\uff0c\u4fbf\u4e8e\u96c6\u6210\u5230\u73b0\u6709\u89c6\u9891\u751f\u6210\u6d41\u7a0b\u3002<\/li>\n<li><strong>\u591a\u79cd\u6587\u4ef6\u652f\u6301<\/strong>\uff1a\u53ef\u5904\u7406\u7528\u6237\u4e0a\u4f20\u7684\u89c6\u9891\u3001\u56fe\u50cf\u7b49\u5185\u5bb9\uff0c\u8f93\u51fa\u7f16\u8f91\u540e\u7684\u89c6\u9891\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>VideoGrain \u7684\u4f7f\u7528\u9700\u8981\u4e00\u5b9a\u7684\u7f16\u7a0b\u57fa\u7840\u548c\u786c\u4ef6\u652f\u6301\uff0c\u4f46\u5176\u5b89\u88c5\u548c\u64cd\u4f5c\u6d41\u7a0b\u5728 GitHub \u4ed3\u5e93\u4e2d\u6709\u8be6\u7ec6\u8bf4\u660e\u3002\u4ee5\u4e0b\u662f\u5177\u4f53\u7684\u5b89\u88c5\u548c\u4f7f\u7528\u6307\u5357\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u4e0a\u624b\u3002<\/p>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<ol>\n<li><strong>\u521b\u5efa Conda \u73af\u5883<\/strong><br \/>\n\u5728\u7ec8\u7aef\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff0c\u521b\u5efa\u4e00\u4e2a\u72ec\u7acb\u7684 Python 3.10 \u73af\u5883\u5e76\u6fc0\u6d3b\uff1a<\/li>\n<\/ol>\n<pre><code>conda create -n videograin python=3.10\r\nconda activate videograin\r\n<\/code><\/pre>\n<p>\u786e\u4fdd Conda \u5df2\u5b89\u88c5\uff0c\u82e5\u672a\u5b89\u88c5\uff0c\u53ef\u524d\u5f80 Anaconda \u5b98\u7f51\u4e0b\u8f7d\u3002<\/p>\n<ol start=\"2\">\n<li><strong>\u5b89\u88c5 PyTorch \u548c\u76f8\u5173\u4f9d\u8d56<\/strong><br \/>\nVideoGrain \u4f9d\u8d56 PyTorch \u53ca\u5176 CUDA \u652f\u6301\uff0c\u63a8\u8350\u4f7f\u7528 GPU \u52a0\u901f\u3002\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/li>\n<\/ol>\n<pre><code>conda install pytorch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 pytorch-cuda=12.1 -c pytorch -c nvidia\r\npip install --pre -U xformers==0.0.27\r\n<\/code><\/pre>\n<p>xformers \u53ef\u4f18\u5316\u5185\u5b58\u548c\u8fd0\u884c\u901f\u5ea6\uff0c\u82e5\u4e0d\u9700\u8981\u53ef\u8df3\u8fc7\u3002<\/p>\n<ol start=\"3\">\n<li><strong>\u5b89\u88c5\u5176\u4ed6\u4f9d\u8d56<\/strong><br \/>\n\u4ece\u4ed3\u5e93\u6839\u76ee\u5f55\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u6240\u6709\u4f9d\u8d56\u5e93\uff1a<\/li>\n<\/ol>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<p>\u786e\u4fdd\u7f51\u7edc\u7545\u901a\uff0c\u53ef\u80fd\u9700\u8981\u79d1\u5b66\u4e0a\u7f51\u4e0b\u8f7d\u90e8\u5206\u5305\u3002<\/p>\n<ol start=\"4\">\n<li><strong>\u4e0b\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b<\/strong><br \/>\nVideoGrain \u9700\u8981 Stable Diffusion 1.5 \u548c ControlNet \u7b49\u6a21\u578b\u6743\u91cd\u3002\u8fd0\u884c\u4ed3\u5e93\u63d0\u4f9b\u7684\u811a\u672c\uff1a<\/li>\n<\/ol>\n<pre><code>bash download_all.sh\r\n<\/code><\/pre>\n<p>\u8fd9\u4f1a\u81ea\u52a8\u4e0b\u8f7d\u57fa\u7840\u6a21\u578b\u81f3\u6307\u5b9a\u76ee\u5f55\u3002\u82e5\u9700\u624b\u52a8\u4e0b\u8f7d\uff0c\u53ef\u8bbf\u95ee Hugging Face \u6216 Google Drive \u94fe\u63a5\uff08\u8be6\u89c1 README\uff09\u3002<\/p>\n<ol start=\"5\">\n<li><strong>\u51c6\u5907 ControlNet \u9884\u5904\u7406\u5668\u6743\u91cd<\/strong><br \/>\n\u4e0b\u8f7d annotator \u6743\u91cd\uff08\u5982 DW-Pose\u3001depth_midas \u7b49\uff09\uff0c\u7ea6 4GB\u3002\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/li>\n<\/ol>\n<pre><code>gdown https:\/\/drive.google.com\/file\/d\/1dzdvLnXWeMFR3CE2Ew0Bs06vyFSvnGXA\/view?usp=drive_link\r\ntar -zxvf videograin_data.tar.gz\r\n<\/code><\/pre>\n<p>\u89e3\u538b\u540e\u5c06\u6587\u4ef6\u653e\u5165\u00a0<code>.\/annotator\/ckpts<\/code>\u00a0\u76ee\u5f55\u3002<\/p>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4\u884c\u8fd0\u884c VideoGrain \u8fdb\u884c\u89c6\u9891\u7f16\u8f91\u3002\u4ee5\u4e0b\u662f\u4e3b\u8981\u529f\u80fd\u64cd\u4f5c\u6d41\u7a0b\uff1a<\/p>\n<h4>1. \u591a\u7c92\u5ea6\u89c6\u9891\u7f16\u8f91<\/h4>\n<ul>\n<li><strong>\u51c6\u5907\u8f93\u5165\u6587\u4ef6<\/strong><br \/>\n\u5c06\u5f85\u7f16\u8f91\u7684\u89c6\u9891\u6587\u4ef6\u653e\u5165\u9879\u76ee\u76ee\u5f55\uff08\u5982\u00a0<code>.\/input_video.mp4<\/code>\uff09\u3002\u652f\u6301\u5e38\u89c1\u683c\u5f0f\u5982 MP4\u3001AVI\u3002<\/li>\n<li><strong>\u7f16\u5199\u6587\u672c\u63d0\u793a<\/strong><br \/>\n\u5728\u811a\u672c\u4e2d\u6307\u5b9a\u7f16\u8f91\u6307\u4ee4\uff0c\u4f8b\u5982\uff1a<\/li>\n<\/ul>\n<pre><code>prompt = \"\u5c06\u89c6\u9891\u4e2d\u7684\u6c7d\u8f66\u66ff\u6362\u4e3a\u4fdd\u65f6\u6377\"\r\n<\/code><\/pre>\n<p>\u652f\u6301\u7c7b\u522b\u66ff\u6362\uff08\u5982\u201c\u6c7d\u8f66\u201d\u5230\u201c\u4fdd\u65f6\u6377\u201d\uff09\u3001\u5b9e\u4f8b\u4fee\u6539\uff08\u5982\u201c\u7279\u5b9a\u4eba\u7269\u201d\u5230\u201c\u94a2\u94c1\u4fa0\u201d\uff09\u548c\u5c40\u90e8\u8c03\u6574\uff08\u5982\u201c\u624b\u90e8\u52a8\u4f5c\u201d\u5230\u201c\u6325\u624b\u201d\uff09\u3002<\/p>\n<ul>\n<li><strong>\u8fd0\u884c\u7f16\u8f91\u547d\u4ee4<\/strong><br \/>\n\u5728\u7ec8\u7aef\u8f93\u5165\uff1a<\/li>\n<\/ul>\n<pre><code>python edit_video.py --input .\/input_video.mp4 --prompt \"\u5c06\u89c6\u9891\u4e2d\u7684\u6c7d\u8f66\u66ff\u6362\u4e3a\u4fdd\u65f6\u6377\" --output .\/output_video.mp4\r\n<\/code><\/pre>\n<p>\u7f16\u8f91\u5b8c\u6210\u540e\uff0c\u7ed3\u679c\u4fdd\u5b58\u81f3\u00a0<code>.\/output_video.mp4<\/code>\u3002<\/p>\n<h4>2. \u96f6\u6837\u672c\u7f16\u8f91<\/h4>\n<ul>\n<li><strong>\u65e0\u9700\u8bad\u7ec3\u76f4\u63a5\u7f16\u8f91<\/strong><br \/>\nVideoGrain \u7684\u6838\u5fc3\u4f18\u52bf\u662f\u96f6\u6837\u672c\u80fd\u529b\u3002\u7528\u6237\u53ea\u9700\u63d0\u4f9b\u89c6\u9891\u548c\u63d0\u793a\uff0c\u65e0\u9700\u9884\u8bad\u7ec3\u3002\u4f8b\u5982\uff1a<\/li>\n<\/ul>\n<pre><code>python edit_video.py --input .\/sample_video.mp4 --prompt \"\u5c06\u72d7\u66ff\u6362\u4e3a\u732b\" --output .\/edited_video.mp4\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u8c03\u6574\u53c2\u6570<\/strong><br \/>\n\u53ef\u901a\u8fc7\u00a0<code>--strength<\/code>\u00a0\u53c2\u6570\u63a7\u5236\u7f16\u8f91\u5f3a\u5ea6\uff080.0-1.0\uff0c\u9ed8\u8ba4 0.8\uff09\uff0c\u5982\uff1a<\/li>\n<\/ul>\n<p>python edit_video.py &#8211;input .\/sample_video.mp4 &#8211;prompt &#8220;\u5c06\u72d7\u66ff\u6362\u4e3a\u732b&#8221; &#8211;strength 0.6<\/p>\n<h4>3. \u65f6\u7a7a\u6ce8\u610f\u529b\u8c03\u5236<\/h4>\n<ul>\n<li><strong>\u589e\u5f3a\u6587\u672c\u5230\u533a\u57df\u63a7\u5236<\/strong><br \/>\nVideoGrain \u81ea\u52a8\u4f18\u5316\u8de8\u6ce8\u610f\u529b\uff0c\u786e\u4fdd\u63d0\u793a\u53ea\u5f71\u54cd\u76ee\u6807\u533a\u57df\u3002\u4f8b\u5982\uff0c\u82e5\u63d0\u793a\u4e3a\u201c\u5c06\u4eba\u7269\u670d\u88c5\u6539\u4e3a\u7ea2\u8272\u201d\uff0c\u65e0\u5173\u80cc\u666f\u4e0d\u4f1a\u53d7\u5f71\u54cd\u3002<\/li>\n<li><strong>\u63d0\u5347\u7279\u5f81\u5206\u79bb<\/strong><br \/>\n\u81ea\u6ce8\u610f\u529b\u673a\u5236\u589e\u5f3a\u533a\u57df\u5185\u7ec6\u8282\u4e00\u81f4\u6027\uff0c\u51cf\u5c11\u8de8\u533a\u57df\u5e72\u6270\u3002\u7528\u6237\u65e0\u9700\u624b\u52a8\u8c03\u6574\uff0c\u8fd0\u884c\u65f6\u81ea\u52a8\u751f\u6548\u3002<\/li>\n<\/ul>\n<h4>\u64cd\u4f5c\u6ce8\u610f\u4e8b\u9879<\/h4>\n<ul>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong><br \/>\n\u63a8\u8350\u4f7f\u7528 NVIDIA GPU\uff08\u5982 A100 \u6216 RTX 3090\uff09\uff0c\u663e\u5b58\u81f3\u5c11 12GB\u3002CPU \u8fd0\u884c\u53ef\u80fd\u8f83\u6162\u3002<\/li>\n<li><strong>\u63d0\u793a\u8bcd\u5efa\u8bae<\/strong><br \/>\n\u63d0\u793a\u8bcd\u9700\u5177\u4f53\u4e14\u660e\u786e\uff0c\u5982\u201c\u5c06\u5de6\u4fa7\u4eba\u7269\u66ff\u6362\u4e3a\u673a\u5668\u4eba\u201d\u4f18\u4e8e\u6a21\u7cca\u7684\u201c\u7f16\u8f91\u4eba\u7269\u201d\u3002<\/li>\n<li><strong>\u8c03\u8bd5\u4e0e\u65e5\u5fd7<\/strong><br \/>\n\u82e5\u51fa\u9519\uff0c\u53ef\u67e5\u770b\u00a0<code>.\/logs<\/code>\u00a0\u76ee\u5f55\u4e0b\u7684\u65e5\u5fd7\u6587\u4ef6\uff0c\u6216\u5728\u547d\u4ee4\u540e\u6dfb\u52a0\u00a0<code>--verbose<\/code>\u00a0\u67e5\u770b\u8be6\u7ec6\u8f93\u51fa\u3002<\/li>\n<\/ul>\n<h3>\u7279\u8272\u529f\u80fd\u8be6\u89e3<\/h3>\n<ul>\n<li><strong>\u591a\u7c92\u5ea6\u7f16\u8f91\u5b9e\u6218<\/strong><br \/>\n\u5047\u8bbe\u7528\u6237\u60f3\u5c06\u89c6\u9891\u4e2d\u7684\u201c\u81ea\u884c\u8f66\u201d\u66ff\u6362\u4e3a\u201c\u6469\u6258\u8f66\u201d\uff0c\u53ea\u9700\u8f93\u5165\u89c6\u9891\u8def\u5f84\u548c\u63d0\u793a\u8bcd\uff0cVideoGrain \u4f1a\u8bc6\u522b\u6240\u6709\u81ea\u884c\u8f66\u5e76\u66ff\u6362\u4e3a\u6469\u6258\u8f66\uff0c\u4fdd\u6301\u52a8\u4f5c\u548c\u80cc\u666f\u4e00\u81f4\u3002<\/li>\n<li><strong>\u5f00\u6e90\u6269\u5c55<\/strong><br \/>\n\u7528\u6237\u53ef\u4fee\u6539\u00a0<code>edit_video.py<\/code>\u00a0\u4e2d\u7684\u6a21\u578b\u53c2\u6570\uff0c\u6216\u57fa\u4e8e diffusers \u6846\u67b6\u6dfb\u52a0\u65b0\u529f\u80fd\uff0c\u5982\u652f\u6301\u66f4\u9ad8\u5206\u8fa8\u7387\u6216\u66f4\u591a\u7f16\u8f91\u7c7b\u578b\u3002<\/li>\n<li><strong>\u793e\u533a\u652f\u6301<\/strong><br \/>\nGitHub \u4ed3\u5e93\u63d0\u4f9b issue 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Multi-Gra&#8230;<\/p>\n","protected":false},"author":1,"featured_media":61945,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,197],"class_list":["post-27274","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-aiyinshipinbianji"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/27274","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/comments?post=27274"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/27274\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media\/61945"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media?parent=27274"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/categories?post=27274"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/tags?post=27274"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}