{"id":27703,"date":"2025-03-05T19:47:26","date_gmt":"2025-03-05T11:47:26","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=27703"},"modified":"2025-03-05T19:47:26","modified_gmt":"2025-03-05T11:47:26","slug":"photodoodle","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/photodoodle\/","title":{"rendered":"PhotoDoodle\uff1a\u6587\u5b57\u6307\u4ee4\u4e3a\u7167\u7247\u6dfb\u52a0\u827a\u672f\u6d82\u9e26\u7684AI\u5de5\u5177"},"content":{"rendered":"<p>PhotoDoodle \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u56fe\u50cf\u7f16\u8f91\u5de5\u5177\uff0c\u7531 ShowLab \u5f00\u53d1\uff0c\u4e13\u6ce8\u4e8e\u901a\u8fc7\u4eba\u5de5\u667a\u80fd\u6280\u672f\u5b9e\u73b0\u7167\u7247\u7684\u827a\u672f\u5316\u7f16\u8f91\u3002\u7528\u6237\u53ea\u9700\u8f93\u5165\u7b80\u5355\u7684\u6587\u672c\u63d0\u793a\u8bcd\uff0c\u5c31\u80fd\u4e3a\u771f\u5b9e\u7167\u7247\u6dfb\u52a0\u5361\u901a\u98ce\u683c\u30013D\u6548\u679c\u3001\u5149\u73af\u3001\u7fc5\u8180\u7b49\u88c5\u9970\u5143\u7d20\uff0c\u751f\u6210\u865a\u5b9e\u7ed3\u5408\u7684\u827a\u672f\u4f5c\u54c1\u3002\u5b83\u57fa\u4e8e\u5f3a\u5927\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u652f\u6301\u5c11\u6837\u672c\u5b66\u4e60\uff0c\u80fd\u5feb\u901f\u9002\u5e94\u7528\u6237\u4e2a\u6027\u5316\u98ce\u683c\uff0c\u9002\u5408\u827a\u672f\u5bb6\u3001\u8bbe\u8ba1\u5e08\u6216\u666e\u901a\u7528\u6237\u8fdb\u884c\u521b\u610f\u521b\u4f5c\u3002\u9879\u76ee\u6258\u7ba1\u4e8e GitHub\uff0c\u63d0\u4f9b\u4ee3\u7801\u3001\u6570\u636e\u96c6\u548c\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u590d\u73b0\u6216\u4e8c\u6b21\u5f00\u53d1\u3002\u5176\u72ec\u7279\u7684\u201c\u7167\u7247\u6d82\u9e26\u201d\u529f\u80fd\u586b\u8865\u4e86\u4f20\u7edf\u7f16\u8f91\u8f6f\u4ef6\u7684\u7a7a\u767d\uff0c\u65e2\u4fdd\u7559\u7167\u7247\u80cc\u666f\u5b8c\u6574\u6027\uff0c\u53c8\u80fd\u65e0\u7f1d\u878d\u5165\u827a\u672f\u5143\u7d20\uff0c\u5e7f\u53d7\u5173\u6ce8\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27704\" title=\"PhotoDoodle\uff1a\u6587\u5b57\u6307\u4ee4\u4e3a\u7167\u7247\u6dfb\u52a0\u827a\u672f\u6d82\u9e26\u7684AI\u5de5\u5177-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/6f5af2f04ab8c8c.png\" alt=\"PhotoDoodle\uff1a\u6587\u5b57\u6307\u4ee4\u4e3a\u7167\u7247\u6dfb\u52a0\u827a\u672f\u6d82\u9e26\u7684AI\u5de5\u5177-1\" width=\"936\" height=\"417\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/6f5af2f04ab8c8c.png 936w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/6f5af2f04ab8c8c-768x342.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/6f5af2f04ab8c8c-18x8.png 18w\" sizes=\"auto, (max-width: 936px) 100vw, 936px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u6587\u672c\u9a71\u52a8\u7684\u827a\u672f\u7f16\u8f91<\/strong>\uff1a\u901a\u8fc7\u6587\u5b57\u63cf\u8ff0\uff08\u5982\u201c\u6dfb\u52a0\u5361\u901a\u602a\u7269\u201d\u6216\u201c\u589e\u52a0\u5149\u73af\u6548\u679c\u201d\uff09\uff0c\u81ea\u52a8\u751f\u6210\u76f8\u5e94\u7684\u6d82\u9e26\u5143\u7d20\u3002<\/li>\n<li><strong>\u5c11\u6837\u672c\u5b66\u4e60\u652f\u6301<\/strong>\uff1a\u53ea\u9700\u5c11\u91cf\u7528\u6237\u63d0\u4f9b\u7684\u914d\u5bf9\u6570\u636e\uff0c\u5c31\u80fd\u5b66\u4e60\u5e76\u751f\u6210\u4e2a\u6027\u5316\u7f16\u8f91\u98ce\u683c\u3002<\/li>\n<li><strong>\u9ad8\u8d28\u91cf\u865a\u5b9e\u878d\u5408<\/strong>\uff1a\u786e\u4fdd\u65b0\u6dfb\u52a0\u7684\u5143\u7d20\u4e0e\u7167\u7247\u80cc\u666f\u5728\u89c6\u89d2\u3001\u5149\u5f71\u4e0a\u81ea\u7136\u878d\u5408\u3002<\/li>\n<li><strong>\u6570\u636e\u96c6\u4e0e\u6a21\u578b\u5f00\u653e<\/strong>\uff1a\u63d0\u4f9b\u9884\u8bad\u7ec3\u6a21\u578b\u548c\u591a\u6837\u5316\u98ce\u683c\u6570\u636e\u96c6\uff0c\u652f\u6301\u7528\u6237\u76f4\u63a5\u4e0b\u8f7d\u4f7f\u7528\u3002<\/li>\n<li><strong>\u5f00\u6e90\u4ee3\u7801\u652f\u6301<\/strong>\uff1a\u5141\u8bb8\u5f00\u53d1\u8005\u4fee\u6539\u4ee3\u7801\u6216\u96c6\u6210\u5230\u5176\u4ed6\u9879\u76ee\u4e2d\uff0c\u7075\u6d3b\u6027\u9ad8\u3002<\/li>\n<li><strong>\u6279\u91cf\u5904\u7406\u80fd\u529b<\/strong>\uff1a\u652f\u6301\u4e00\u6b21\u6027\u7f16\u8f91\u591a\u5f20\u56fe\u7247\uff0c\u63d0\u9ad8\u6548\u7387\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>PhotoDoodle \u662f\u4e00\u4e2a\u57fa\u4e8e GitHub \u7684\u5f00\u6e90\u9879\u76ee\uff0c\u7528\u6237\u9700\u8981\u4e00\u5b9a\u7684\u6280\u672f\u57fa\u7840\u6765\u5b89\u88c5\u548c\u4f7f\u7528\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u4e0e\u4f7f\u7528\u6307\u5357\uff0c\u5e2e\u52a9\u4f60\u5feb\u901f\u4e0a\u624b\u3002<\/p>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<ol>\n<li><strong>\u73af\u5883\u51c6\u5907<\/strong>\n<ul>\n<li>\u786e\u4fdd\u4f60\u7684\u7535\u8111\u5df2\u5b89\u88c5 Git\u3001Python 3.11.10 \u548c Conda\u3002<\/li>\n<li>\u6253\u5f00\u7ec8\u7aef\uff0c\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u514b\u9686\u9879\u76ee\u5230\u672c\u5730\uff1a\n<pre><code>git clone git@github.com:showlab\/PhotoDoodle.git\r\ncd PhotoDoodle\r\n<\/code><\/pre>\n<\/li>\n<li>\u521b\u5efa\u5e76\u6fc0\u6d3b\u865a\u62df\u73af\u5883\uff1a\n<pre><code>conda create -n doodle python=3.11.10\r\nconda activate doodle\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong>\n<ul>\n<li>\u5b89\u88c5 PyTorch\uff08\u5efa\u8bae\u4f7f\u7528 CUDA \u52a0\u901f\u7248\u672c\uff0c\u82e5\u6709 GPU\uff09\uff1a\n<pre><code>pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https:\/\/download.pytorch.org\/whl\/cu124\r\n<\/code><\/pre>\n<\/li>\n<li>\u5b89\u88c5\u5176\u4ed6\u4f9d\u8d56\uff1a\n<pre><code>pip install --upgrade -r requirements.txt\r\n<\/code><\/pre>\n<\/li>\n<li>\u7b49\u5f85\u5b89\u88c5\u5b8c\u6210\uff0c\u786e\u4fdd\u7f51\u7edc\u7545\u901a\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u4e0b\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b<\/strong>\n<ul>\n<li>\u9879\u76ee\u63d0\u4f9b\u4e86\u591a\u4e2a\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u9700\u624b\u52a8\u4e0b\u8f7d\u3002\u8bbf\u95ee\u00a0PhotoDoodle \u7684 GitHub Releases\u00a0\u6216 Hugging Face \u6570\u636e\u96c6\u9875\u9762\uff0c\u4e0b\u8f7d\u6a21\u578b\u6587\u4ef6\uff08\u5982\u00a0<code>OmniEditor<\/code>\u00a0\u548c\u00a0<code>EditLoRA<\/code>\uff09\u3002<\/li>\n<li>\u5c06\u4e0b\u8f7d\u7684\u6a21\u578b\u6587\u4ef6\u653e\u5165\u9879\u76ee\u76ee\u5f55\u4e0b\u7684\u6307\u5b9a\u6587\u4ef6\u5939\uff08\u53c2\u8003 README \u4e2d\u7684\u8def\u5f84\u8bf4\u660e\uff0c\u901a\u5e38\u4e3a\u00a0<code>checkpoints\/<\/code>\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong>\n<ul>\n<li>\u5728\u7ec8\u7aef\u8fd0\u884c\u6d4b\u8bd5\u547d\u4ee4\uff08\u5982 README \u4e2d\u63d0\u4f9b\u7684\u793a\u4f8b\u811a\u672c\uff09\uff0c\u68c0\u67e5\u662f\u5426\u62a5\u9519\u3002\u82e5\u65e0\u9519\u8bef\uff0c\u5b89\u88c5\u6210\u529f\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>PhotoDoodle \u7684\u6838\u5fc3\u529f\u80fd\u662f\u901a\u8fc7\u6587\u672c\u6307\u4ee4\u7f16\u8f91\u7167\u7247\uff0c\u64cd\u4f5c\u5206\u4e3a\u4e24\u79cd\u573a\u666f\uff1a\u76f4\u63a5\u4f7f\u7528\u9884\u8bad\u7ec3\u6a21\u578b\u548c\u81ea\u5b9a\u4e49\u8bad\u7ec3\u3002<\/p>\n<h4>\u4f7f\u7528\u9884\u8bad\u7ec3\u6a21\u578b\u7f16\u8f91\u7167\u7247<\/h4>\n<ol>\n<li><strong>\u51c6\u5907\u56fe\u7247<\/strong>\n<ul>\n<li>\u5c06\u9700\u8981\u7f16\u8f91\u7684\u7167\u7247\uff08\u5982\u00a0<code>source.jpg<\/code>\uff09\u653e\u5165\u9879\u76ee\u76ee\u5f55\u4e0b\u7684\u00a0<code>input\/<\/code>\u00a0\u6587\u4ef6\u5939\uff08\u82e5\u65e0\u6b64\u6587\u4ef6\u5939\uff0c\u81ea\u884c\u521b\u5efa\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8fd0\u884c\u7f16\u8f91\u547d\u4ee4<\/strong>\n<ul>\n<li>\u5728\u7ec8\u7aef\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff08\u5047\u8bbe\u5df2\u6fc0\u6d3b\u00a0<code>doodle<\/code>\u00a0\u73af\u5883\uff09\uff1a\n<pre><code>python inference.py --source input\/source.jpg --prompt \"\u5728\u7167\u7247\u4e0a\u6dfb\u52a0\u5361\u901a\u98ce\u683c\u7684\u7fc5\u8180\" --output output\/result.jpg\r\n<\/code><\/pre>\n<\/li>\n<li>\u53c2\u6570\u8bf4\u660e\uff1a\n<ul>\n<li><code>--source<\/code>\uff1a\u6e90\u7167\u7247\u8def\u5f84\u3002<\/li>\n<li><code>--prompt<\/code>\uff1a\u6587\u672c\u6307\u4ee4\uff0c\u63cf\u8ff0\u60f3\u8981\u6dfb\u52a0\u7684\u5143\u7d20\u3002<\/li>\n<li><code>--output<\/code>\uff1a\u8f93\u51fa\u7ed3\u679c\u8def\u5f84\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u8fd0\u884c\u540e\uff0c\u751f\u6210\u7684\u7ed3\u679c\u4f1a\u4fdd\u5b58\u5728\u00a0<code>output\/result.jpg<\/code>\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u67e5\u770b\u7ed3\u679c<\/strong>\n<ul>\n<li>\u6253\u5f00\u00a0<code>output\/<\/code>\u00a0\u6587\u4ef6\u5939\uff0c\u68c0\u67e5\u751f\u6210\u7684\u56fe\u7247\u3002\u8c03\u6574\u6307\u4ee4\uff08\u5982\u201c\u589e\u52a0\u5149\u5f71\u6548\u679c\u201d\uff09\u53ef\u751f\u6210\u4e0d\u540c\u98ce\u683c\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h4>\u81ea\u5b9a\u4e49\u8bad\u7ec3\u4e2a\u6027\u5316\u98ce\u683c<\/h4>\n<ol>\n<li><strong>\u51c6\u5907\u914d\u5bf9\u6570\u636e\u96c6<\/strong>\n<ul>\n<li>\u521b\u5efa\u4e00\u4e2a\u00a0<code>.jsonl<\/code>\u00a0\u6587\u4ef6\uff08\u5982\u00a0<code>dataset.jsonl<\/code>\uff09\uff0c\u6bcf\u884c\u8bb0\u5f55\u4e00\u5bf9\u56fe\u7247\u548c\u63cf\u8ff0\uff1a\n<pre><code>{\"source\": \"path\/to\/source.jpg\", \"target\": \"path\/to\/modified.jpg\", \"caption\": \"\u6dfb\u52a0\u84dd\u8272\u5149\u73af\"}\r\n{\"source\": \"path\/to\/source2.jpg\", \"target\": \"path\/to\/modified2.jpg\", \"caption\": \"\u589e\u52a0\u5361\u901a\u602a\u7269\"}\r\n<\/code><\/pre>\n<\/li>\n<li>\u81f3\u5c11\u51c6\u5907 5-10 \u5bf9\u56fe\u7247\uff0c\u53cd\u6620\u4f60\u7684\u98ce\u683c\u9700\u6c42\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8fd0\u884c\u8bad\u7ec3\u811a\u672c<\/strong>\n<ul>\n<li>\u5c06\u00a0<code>.jsonl<\/code>\u00a0\u6587\u4ef6\u653e\u5165\u9879\u76ee\u76ee\u5f55\uff0c\u7136\u540e\u6267\u884c\uff1a\n<pre><code>python train.py --data dataset.jsonl --model OmniEditor --output_dir trained_model\/\r\n<\/code><\/pre>\n<\/li>\n<li>\u8bad\u7ec3\u65f6\u95f4\u53d6\u51b3\u4e8e\u6570\u636e\u91cf\u548c\u786c\u4ef6\u6027\u80fd\uff08GPU \u63a8\u8350\uff09\uff0c\u5b8c\u6210\u540e\u6a21\u578b\u4fdd\u5b58\u5728\u00a0<code>trained_model\/<\/code>\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u4f7f\u7528\u81ea\u5b9a\u4e49\u6a21\u578b\u7f16\u8f91<\/strong>\n<ul>\n<li>\u4f7f\u7528\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u8fdb\u884c\u63a8\u7406\uff1a\n<pre><code>python inference.py --source input\/source.jpg --prompt \"\u6dfb\u52a0\u6211\u7684\u98ce\u683c\u5143\u7d20\" --model trained_model\/checkpoint.pth --output output\/custom_result.jpg\r\n<\/code><\/pre>\n<\/li>\n<li>\u68c0\u67e5\u8f93\u51fa\u7ed3\u679c\uff0c\u786e\u8ba4\u662f\u5426\u7b26\u5408\u9884\u671f\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3>\u64cd\u4f5c\u6d41\u7a0b\u8be6\u89e3<\/h3>\n<ul>\n<li><strong>\u6279\u91cf\u7f16\u8f91<\/strong>\uff1a\u5c06\u591a\u5f20\u56fe\u7247\u653e\u5165\u00a0<code>input\/<\/code>\u00a0\u6587\u4ef6\u5939\uff0c\u4fee\u6539\u811a\u672c\u652f\u6301\u5faa\u73af\u5904\u7406\uff08\u5982\u6dfb\u52a0\u00a0<code>--batch<\/code>\u00a0\u53c2\u6570\uff0c\u5177\u4f53\u5b9e\u73b0\u53c2\u8003\u4ee3\u7801\u6ce8\u91ca\uff09\u3002<\/li>\n<li><strong>\u8c03\u6574\u6548\u679c<\/strong>\uff1a\u82e5\u878d\u5408\u4e0d\u81ea\u7136\uff0c\u53ef\u5728\u63d0\u793a\u8bcd\u4e2d\u52a0\u5165\u7ec6\u8282\u63cf\u8ff0\uff08\u5982\u201c\u4e0e\u80cc\u666f\u5149\u5f71\u4e00\u81f4\u201d\uff09\uff0c\u6216\u8c03\u6574\u6a21\u578b\u53c2\u6570\uff08\u89c1\u00a0<code>config\/<\/code>\u00a0\u6587\u4ef6\uff09\u3002<\/li>\n<li><strong>\u8c03\u8bd5\u95ee\u9898<\/strong>\uff1a\u82e5\u8fd0\u884c\u51fa\u9519\uff0c\u68c0\u67e5 Python \u7248\u672c\u3001\u4f9d\u8d56\u662f\u5426\u5b8c\u6574\uff0c\u6216\u67e5\u770b GitHub Issues \u5bfb\u6c42\u793e\u533a\u5e2e\u52a9\u3002<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>\u786c\u4ef6\u8981\u6c42\uff1a\u5efa\u8bae\u4f7f\u7528 GPU\uff08\u5982 NVIDIA CUDA \u652f\u6301\uff09\u4ee5\u63d0\u5347\u901f\u5ea6\uff0cCPU \u4e5f\u53ef\u8fd0\u884c\u4f46\u8f83\u6162\u3002<\/li>\n<li>\u6570\u636e\u8d28\u91cf\uff1a\u8f93\u5165\u56fe\u7247\u5206\u8fa8\u7387\u8d8a\u9ad8\uff0c\u6548\u679c\u8d8a\u597d\uff1b\u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u9700\u4fdd\u6301\u4e00\u81f4\u6027\u3002<\/li>\n<li>\u5728\u7ebf\u4f53\u9a8c\uff1a\u90e8\u5206\u529f\u80fd\u53ef\u901a\u8fc7 Hugging Face Spaces \u5728\u7ebf\u6d4b\u8bd5\uff0c\u65e0\u9700\u672c\u5730\u5b89\u88c5\u3002<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u4f7f\u7528 PhotoDoodle 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