{"id":30925,"date":"2025-05-06T19:31:19","date_gmt":"2025-05-06T11:31:19","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=30925"},"modified":"2025-05-06T19:38:07","modified_gmt":"2025-05-06T11:38:07","slug":"step1x-edit","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/step1x-edit\/","title":{"rendered":"Step1X-Edit\uff1a\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\u7f16\u8f91\u56fe\u50cf\u7684\u5f00\u6e90\u5de5\u5177"},"content":{"rendered":"

Step1X-Edit \u662f\u4e00\u4e2a\u5f00\u6e90\u56fe\u50cf\u7f16\u8f91\u6846\u67b6\uff0c\u7531 Stepfun AI \u56e2\u961f\u5f00\u53d1\uff0c\u6258\u7ba1\u4e8e GitHub\u3002\u5b83\u7ed3\u5408\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b\uff08Qwen-VL\uff09\u548c\u6269\u6563\u53d8\u6362\u5668\uff08DiT\uff09\uff0c\u8ba9\u7528\u6237\u901a\u8fc7\u7b80\u5355\u7684\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\u7f16\u8f91\u56fe\u50cf\uff0c\u4f8b\u5982\u66f4\u6539\u80cc\u666f\u3001\u79fb\u9664\u7269\u4f53\u6216\u8f6c\u6362\u98ce\u683c\u3002\u9879\u76ee\u4e8e 2025 \u5e74 4 \u6708 25 \u65e5\u53d1\u5e03\uff0c\u6027\u80fd\u63a5\u8fd1\u95ed\u6e90\u6a21\u578b\u5982 GPT-4o \u548c Gemini<\/a> 2 Flash\u3002Step1X-Edit \u63d0\u4f9b\u6a21\u578b\u6743\u91cd\u3001\u63a8\u7406\u4ee3\u7801\u548c GEdit-Bench \u57fa\u51c6\u6d4b\u8bd5\uff0c\u652f\u6301\u5e7f\u6cdb\u7684\u7f16\u8f91\u573a\u666f\u3002Apache 2.0 \u8bb8\u53ef\u8bc1\u5141\u8bb8\u514d\u8d39\u4f7f\u7528\u548c\u5546\u4e1a\u5f00\u53d1\uff0c\u5438\u5f15\u4e86\u5f00\u53d1\u8005\u3001\u8bbe\u8ba1\u5e08\u548c\u7814\u7a76\u4eba\u5458\u3002\u793e\u533a\u652f\u6301\u6d3b\u8dc3\uff0c\u5df2\u63a8\u51fa ComfyUI<\/a> \u63d2\u4ef6\u548c FP8 \u91cf\u5316\u7248\u672c\uff0c\u4f18\u5316\u786c\u4ef6\u9700\u6c42\u3002<\/p>\n

\u76ee\u524d\u53ef\u5728 \u9636\u8dc3AI<\/a> \u514d\u8d39\u4f53\u9a8c\u3002\u4f46\u5b9e\u9645\u56fe\u50cf\u7f16\u8f91\u6548\u679c\u4e0e GPT-4o \u3001 Gemini 2 Flash \u5dee\u8ddd\u7565\u5927\u3002<\/p><\/blockquote>\n

\"Step1X-Edit\uff1a\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\u7f16\u8f91\u56fe\u50cf\u7684\u5f00\u6e90\u5de5\u5177-1\"<\/p>\n

 <\/p>\n

\u529f\u80fd\u5217\u8868<\/h2>\n
    \n
  • \u652f\u6301\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\u7f16\u8f91\u56fe\u50cf\uff0c\u5982\u201c\u5c06\u80cc\u666f\u6539\u4e3a\u6d77\u6ee9\u201d\u6216\u201c\u79fb\u9664\u7167\u7247\u4e2d\u7684\u4eba\u201d\u3002<\/li>\n
  • \u4f7f\u7528\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b\uff08Qwen-VL\uff09\u89e3\u6790\u56fe\u50cf\u548c\u6587\u672c\u6307\u4ee4\uff0c\u751f\u6210\u7cbe\u786e\u7f16\u8f91\u3002<\/li>\n
  • \u57fa\u4e8e\u6269\u6563\u53d8\u6362\u5668\uff08DiT\uff09\u751f\u6210\u9ad8\u8d28\u91cf\u56fe\u50cf\uff0c\u4fdd\u6301\u539f\u59cb\u56fe\u50cf\u7ec6\u8282\u3002<\/li>\n
  • \u63d0\u4f9b GEdit-Bench \u57fa\u51c6\u6d4b\u8bd5\uff0c\u8bc4\u4f30\u771f\u5b9e\u7528\u6237\u6307\u4ee4\u4e0b\u7684\u7f16\u8f91\u6027\u80fd\u3002<\/li>\n
  • \u652f\u6301 FP8 \u91cf\u5316\u6a21\u578b\uff0c\u964d\u4f4e\u786c\u4ef6\u9700\u6c42\uff0c\u9002\u914d\u4f4e\u5185\u5b58 GPU\u3002<\/li>\n
  • \u96c6\u6210 ComfyUI \u63d2\u4ef6\uff0c\u7b80\u5316\u5de5\u4f5c\u6d41\uff0c\u63d0\u5347\u7528\u6237\u4f53\u9a8c\u3002<\/li>\n
  • \u63d0\u4f9b\u5728\u7ebf\u6f14\u793a\uff0c\u5141\u8bb8\u7528\u6237\u65e0\u9700\u5b89\u88c5\u5373\u53ef\u4f53\u9a8c\u7f16\u8f91\u529f\u80fd\u3002<\/li>\n
  • \u5f00\u6e90\u6a21\u578b\u6743\u91cd\u548c\u63a8\u7406\u4ee3\u7801\uff0c\u652f\u6301\u4e8c\u6b21\u5f00\u53d1\u548c\u7814\u7a76\u3002<\/li>\n<\/ul>\n

     <\/p>\n

    \u4f7f\u7528\u5e2e\u52a9<\/h2>\n

    \u5b89\u88c5\u6d41\u7a0b<\/h3>\n

    \u8981\u4f7f\u7528 Step1X-Edit\uff0c\u9700\u8981\u5b89\u88c5\u73af\u5883\u5e76\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff0c\u9002\u5408 Linux \u7cfb\u7edf\uff08\u63a8\u8350 Ubuntu 20.04 \u6216\u66f4\u9ad8\u7248\u672c\uff09\uff1a<\/p>\n

      \n
    1. \u51c6\u5907\u73af\u5883<\/strong>
      \n\u786e\u4fdd\u7cfb\u7edf\u5b89\u88c5 Python 3.10 \u6216\u66f4\u9ad8\u7248\u672c\uff0c\u4ee5\u53ca CUDA \u5de5\u5177\u5305\uff08\u63a8\u8350 12.1\uff09\u3002\u5efa\u8bae\u4f7f\u7528 GPU\uff0880GB \u663e\u5b58\u6700\u4f73\uff0c\u5982 NVIDIA H800\uff09\uff0c\u4f46 FP8 \u91cf\u5316\u7248\u672c\u652f\u6301\u8f83\u4f4e\u663e\u5b58\uff0816GB \u6216 24GB\uff09\u3002<\/p>\n
      conda create -n step1x python=3.10\r\nconda activate step1x<\/code><\/pre>\n<\/li>\n<\/ol>\n
        \n
      1. \u514b\u9686\u4ed3\u5e93<\/strong>
        \n\u4ece GitHub \u4e0b\u8f7d Step1X-Edit \u9879\u76ee\u4ee3\u7801\uff1a<\/p>\n
        git clone https:\/\/github.com\/stepfun-ai\/Step1X-Edit.git\r\ncd Step1X-Edit\r\n<\/code><\/pre>\n<\/li>\n
      2. \u5b89\u88c5\u4f9d\u8d56<\/strong>
        \n\u5b89\u88c5 PyTorch\uff08\u63a8\u8350 2.3.1 \u6216 2.5.1\uff09\u548c\u76f8\u5173\u5e93\uff1a<\/p>\n
        pip install torch==2.3.1 torchvision --index-url https:\/\/download.pytorch.org\/whl\/cu121\r\npip install -r requirements.txt\r\n<\/code><\/pre>\n
        \u5b89\u88c5 Flash Attention\uff08\u53ef\u9009\uff0c\u52a0\u901f\u63a8\u7406\uff09\uff1a<\/p>\n
        pip install flash-attn --no-build-isolation\r\n<\/code><\/pre>\n
        \u5982\u679c\u9047\u5230 Flash Attention \u5b89\u88c5\u95ee\u9898\uff0c\u53ef\u53c2\u8003\u5b98\u65b9\u811a\u672c\u751f\u6210\u9002\u5408\u7cfb\u7edf\u7684\u9884\u7f16\u8bd1\u8f6e\u6587\u4ef6\uff1a<\/p>\n
        python scripts\/find_flash_attn_wheel.py\r\n<\/code><\/pre>\n<\/li>\n
      3. \u4e0b\u8f7d\u6a21\u578b\u6743\u91cd<\/strong>
        \n\u4ece Hugging Face \u6216 ModelScope \u4e0b\u8f7d\u6a21\u578b\u6743\u91cd\u548c\u53d8\u5206\u81ea\u7f16\u7801\u5668\uff08VAE\uff09\uff1a<\/p>\n
          \n
        • Step1X-Edit \u6a21\u578b\uff1astep1x-edit-i1258.safetensors<\/code>\uff08\u7ea6 24.9GB\uff09<\/li>\n
        • VAE\uff1avae.safetensors<\/code>\uff08\u7ea6 335MB\uff09<\/li>\n
        • Qwen-VL \u6a21\u578b\uff1aQwen\/Qwen2.5-VL-7B-Instruct<\/code>
          \n\u4f7f\u7528 Python \u811a\u672c\u81ea\u52a8\u4e0b\u8f7d\uff1a<\/li>\n<\/ul>\n
          from huggingface_hub import snapshot_download\r\nimport os\r\ntarget_dir = \"models\/step1x\"\r\nos.makedirs(target_dir, exist_ok=True)\r\n# \u4e0b\u8f7d Step1X-Edit \u6a21\u578b\r\nsnapshot_download(repo_id=\"stepfun-ai\/Step1X-Edit\", local_dir=target_dir, allow_patterns=[\"step1x-edit-i1258.safetensors\"])\r\n# \u4e0b\u8f7d VAE\r\nsnapshot_download(repo_id=\"stepfun-ai\/Step1X-Edit\", local_dir=target_dir, allow_patterns=[\"vae.safetensors\"])\r\n# \u4e0b\u8f7d Qwen-VL\r\nqwen_dir = os.path.join(target_dir, \"Qwen2.5-VL-7B-Instruct\")\r\nsnapshot_download(repo_id=\"Qwen\/Qwen2.5-VL-7B-Instruct\", local_dir=qwen_dir)\r\n<\/code><\/pre>\n<\/li>\n
        • \u8fd0\u884c\u63a8\u7406<\/strong>
          \n\u4f7f\u7528\u63d0\u4f9b\u7684\u63a8\u7406\u811a\u672c\u7f16\u8f91\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u7f16\u8f91\u4e00\u5f20\u56fe\u7247\u5e76\u66f4\u6539\u80cc\u666f\uff1a<\/p>\n
          python scripts\/run_inference.py --image_path assets\/demo.png --prompt \"\u5c06\u80cc\u666f\u6539\u4e3a\u591c\u7a7a\" --output_path output.png\r\n<\/code><\/pre>\n
          \u53c2\u6570\u8bf4\u660e\uff1a<\/p>\n
            \n
          • --image_path<\/code>\uff1a\u8f93\u5165\u56fe\u50cf\u8def\u5f84\u3002<\/li>\n
          • --prompt<\/code>\uff1a\u7f16\u8f91\u6307\u4ee4\uff08\u5982\u201c\u5c06\u5929\u7a7a\u6539\u4e3a\u65e5\u843d\u201d\uff09\u3002<\/li>\n
          • --output_path<\/code>\uff1a\u8f93\u51fa\u56fe\u50cf\u8def\u5f84\u3002<\/li>\n
          • --size_level<\/code>\uff1a\u5206\u8fa8\u7387\uff08\u9ed8\u8ba4 512×512\uff0c1024×1024 \u9700\u8981\u66f4\u591a\u663e\u5b58\uff09\u3002<\/li>\n
          • --seed<\/code>\uff1a\u968f\u673a\u79cd\u5b50\uff0c\u63a7\u5236\u751f\u6210\u4e00\u81f4\u6027\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n
            \u4f7f\u7528 ComfyUI \u63d2\u4ef6<\/h3>\n
            Step1X-Edit \u63d0\u4f9b ComfyUI \u63d2\u4ef6\uff0c\u9002\u5408\u5e0c\u671b\u96c6\u6210\u5230\u5de5\u4f5c\u6d41\u7684\u7528\u6237\u3002<\/p>\n
              \n
            1. \u514b\u9686 ComfyUI \u63d2\u4ef6\u4ed3\u5e93\uff1a\n
              cd path\/to\/ComfyUI\/custom_nodes\r\ngit clone https:\/\/github.com\/quank123wip\/ComfyUI-Step1X-Edit.git\r\n<\/code><\/pre>\n<\/li>\n
            2. \u5c06\u6a21\u578b\u6743\u91cd\u653e\u7f6e\u5230\u00a0ComfyUI\/models\/Step1x-Edit<\/code>\u00a0\u76ee\u5f55\uff1a\n
                \n
              • step1x-edit-i1258.safetensors<\/code><\/li>\n
              • vae.safetensors<\/code><\/li>\n
              • Qwen-VL \u6a21\u578b\u6587\u4ef6\u5939\uff1aQwen2.5-VL-7B-Instruct<\/code><\/li>\n<\/ul>\n<\/li>\n
              • \u542f\u52a8 ComfyUI\uff0c\u52a0\u8f7d Step1X-Edit \u8282\u70b9\u3002<\/li>\n
              • \u5728 ComfyUI \u754c\u9762\uff0c\u4e0a\u4f20\u56fe\u50cf\uff0c\u8f93\u5165\u7f16\u8f91\u6307\u4ee4\uff08\u5982\u201c\u6dfb\u52a0\u7fc5\u8180\u201d\uff09\uff0c\u8fd0\u884c\u5de5\u4f5c\u6d41\u751f\u6210\u7ed3\u679c\u3002<\/li>\n<\/ol>\n
                \u4e3b\u8981\u529f\u80fd\u64cd\u4f5c<\/h3>\n
                  \n
                • \u81ea\u7136\u8bed\u8a00\u7f16\u8f91<\/strong>
                  \n\u7528\u6237\u4e0a\u4f20\u56fe\u50cf\u5e76\u8f93\u5165\u6587\u672c\u6307\u4ee4\u3002\u4f8b\u5982\uff0c\u8981\u5c06\u7167\u7247\u80cc\u666f\u6539\u4e3a\u5c71\u666f\uff0c\u8f93\u5165\u201c\u5c06\u80cc\u666f\u6539\u4e3a\u5c71\u666f\u201d\u3002\u6a21\u578b\u901a\u8fc7 Qwen-VL \u89e3\u6790\u6307\u4ee4\uff0c\u63d0\u53d6\u8bed\u4e49\uff0c\u7ed3\u5408 DiT \u751f\u6210\u65b0\u56fe\u50cf\u3002\u5efa\u8bae\u6307\u4ee4\u6e05\u6670\u5177\u4f53\uff0c\u5982\u201c\u5c06\u5929\u7a7a\u6539\u4e3a\u84dd\u8272\u661f\u7a7a\u201d\u6bd4\u201c\u7f8e\u5316\u5929\u7a7a\u201d\u6548\u679c\u66f4\u597d\u3002<\/li>\n
                • \u5bf9\u8c61\u79fb\u9664\u6216\u6dfb\u52a0<\/strong>
                  \n\u6307\u4ee4\u5982\u201c\u79fb\u9664\u7167\u7247\u4e2d\u7684\u4eba\u201d\u6216\u201c\u6dfb\u52a0\u4e00\u68f5\u6811\u201d\u3002\u6a21\u578b\u4f1a\u4fdd\u7559\u56fe\u50cf\u5176\u4ed6\u90e8\u5206\uff0c\u7cbe\u51c6\u7f16\u8f91\u6307\u5b9a\u533a\u57df\u3002\u590d\u6742\u573a\u666f\u4e0b\uff0c\u591a\u6b21\u8c03\u6574\u6307\u4ee4\u53ef\u4f18\u5316\u7ed3\u679c\u3002<\/li>\n
                • \u98ce\u683c\u8f6c\u6362<\/strong>
                  \n\u652f\u6301\u98ce\u683c\u5316\u7f16\u8f91\uff0c\u5982\u201c\u5c06\u56fe\u50cf\u8f6c\u4e3a\u50cf\u7d20\u827a\u672f\u98ce\u683c\u201d\u6216\u201c\u6539\u6210\u5bab\u5d0e\u9a8f\u98ce\u683c\u201d\u3002\u6a21\u578b\u901a\u8fc7\u6269\u6563\u8fc7\u7a0b\u751f\u6210\u7b26\u5408\u98ce\u683c\u7684\u56fe\u50cf\u3002<\/li>\n
                • \u5728\u7ebf\u6f14\u793a<\/strong>
                  \n\u8bbf\u95ee Hugging Face \u7a7a\u95f4\uff08https:\/\/huggingface.co\/spaces\/stepfun-ai\/Step1X-Edit\uff09\uff0c\u4e0a\u4f20\u56fe\u50cf\uff0c\u8f93\u5165\u6307\u4ee4\uff0c\u76f4\u63a5\u4f53\u9a8c\u3002\u6bcf\u6b21\u751f\u6210\u53d7 GPU \u65f6\u95f4\u9650\u5236\uff0c\u514d\u8d39\u7528\u6237\u6709\u4e24\u6b21\u5c1d\u8bd5\u673a\u4f1a\u3002<\/li>\n<\/ul>\n
                  \u6ce8\u610f\u4e8b\u9879<\/h3>\n
                    \n
                  • \u786c\u4ef6\u9700\u6c42<\/strong>\uff1a512×512 \u5206\u8fa8\u7387\u9700\u8981\u7ea6 42GB \u663e\u5b58\uff0c5 \u79d2\u5b8c\u6210\uff1b1024×1024 \u9700\u8981 50GB \u663e\u5b58\uff0c\u7ea6 22 \u79d2\u3002FP8 \u91cf\u5316\u7248\u672c\u53ef\u964d\u4f4e\u81f3 16GB \u663e\u5b58\uff0c\u9002\u5408 3090 Ti \u7b49 GPU\u3002<\/li>\n
                  • \u6307\u4ee4\u4f18\u5316<\/strong>\uff1a\u590d\u6742\u7f16\u8f91\u9700\u8be6\u7ec6\u6307\u4ee4\uff0c\u5982\u201c\u5c06\u80cc\u666f\u6539\u4e3a\u96ea\u5c71\uff0c\u4fdd\u6301\u524d\u666f\u4eba\u7269\u4e0d\u53d8\u201d\u3002<\/li>\n
                  • \u793e\u533a\u652f\u6301<\/strong>\uff1aGitHub \u4ed3\u5e93\u6709\u6d3b\u8dc3\u793e\u533a\uff0c\u9047\u5230\u95ee\u9898\u53ef\u67e5\u770b Issues \u6216 Discussions\u3002<\/li>\n<\/ul>\n
                     <\/p>\n
                    \u5e94\u7528\u573a\u666f<\/h2>\n
                      \n
                    1. \u5185\u5bb9\u521b\u4f5c<\/strong>
                      \n\u8bbe\u8ba1\u5e08\u4f7f\u7528 Step1X-Edit \u4e3a\u5e7f\u544a\u7d20\u6750\u5feb\u901f\u66f4\u6362\u80cc\u666f\u6216\u8c03\u6574\u98ce\u683c\u3002\u4f8b\u5982\uff0c\u5c06\u4ea7\u54c1\u7167\u7247\u80cc\u666f\u6539\u4e3a\u8282\u65e5\u4e3b\u9898\uff0c\u63d0\u5347\u89c6\u89c9\u5438\u5f15\u529b\u3002<\/li>\n
                    2. \u4e2a\u4eba\u7167\u7247\u7f16\u8f91<\/strong>
                      \n\u666e\u901a\u7528\u6237\u901a\u8fc7\u5728\u7ebf\u6f14\u793a\u7f8e\u5316\u7167\u7247\uff0c\u5982\u79fb\u9664\u80cc\u666f\u6742\u7269\u6216\u5c06\u767d\u5929\u7167\u7247\u6539\u4e3a\u591c\u666f\uff0c\u64cd\u4f5c\u7b80\u5355\u65e0\u9700\u4e13\u4e1a\u6280\u80fd\u3002<\/li>\n
                    3. \u7535\u5546\u4ea7\u54c1\u4f18\u5316<\/strong>
                      \n\u7535\u5546\u5e73\u53f0\u7528 Step1X-Edit \u751f\u6210\u4ea7\u54c1\u5728\u4e0d\u540c\u573a\u666f\u7684\u5c55\u793a\u56fe\uff0c\u5982\u5c06\u8863\u670d\u7f6e\u4e8e\u6d77\u6ee9\u6216\u57ce\u5e02\u80cc\u666f\uff0c\u8282\u7701\u62cd\u6444\u6210\u672c\u3002<\/li>\n
                    4. \u5b66\u672f\u7814\u7a76<\/strong>
                      \n\u7814\u7a76\u4eba\u5458\u4f7f\u7528 GEdit-Bench \u6570\u636e\u96c6\u548c\u6a21\u578b\u6743\u91cd\uff0c\u5f00\u53d1\u65b0\u7684\u56fe\u50cf\u7f16\u8f91\u7b97\u6cd5\u6216\u6bd4\u8f83\u6a21\u578b\u6027\u80fd\u3002<\/li>\n<\/ol>\n
                       <\/p>\n
                      QA<\/h2>\n
                        \n
                      1. Step1X-Edit \u652f\u6301\u54ea\u4e9b\u5206\u8fa8\u7387\uff1f<\/strong>
                        \n\u652f\u6301 512×512 \u548c 1024×1024 \u5206\u8fa8\u7387\u3002512×512 \u901f\u5ea6\u5feb\uff0c\u663e\u5b58\u9700\u6c42\u4f4e\uff1b1024×1024 \u7ec6\u8282\u66f4\u4e30\u5bcc\uff0c\u9700\u66f4\u9ad8\u663e\u5b58\u3002<\/li>\n
                      2. \u5982\u4f55\u4f18\u5316\u7f16\u8f91\u7ed3\u679c\uff1f<\/strong>
                        \n\u4f7f\u7528\u5177\u4f53\u6307\u4ee4\uff0c\u907f\u514d\u6a21\u7cca\u63cf\u8ff0\u3002\u591a\u6b21\u5c1d\u8bd5\u4e0d\u540c\u63aa\u8f9e\u53ef\u63d0\u9ad8\u6548\u679c\u3002\u5982\u201c\u5c06\u5929\u7a7a\u6539\u4e3a\u7ea2\u8272\u65e5\u843d\u201d\u6bd4\u201c\u6539\u53d8\u5929\u7a7a\u201d\u66f4\u660e\u786e\u3002<\/li>\n
                      3. \u662f\u5426\u652f\u6301\u4e2d\u6587\u6307\u4ee4\uff1f<\/strong>
                        \n\u662f\u7684\uff0c\u6a21\u578b\u652f\u6301\u4e2d\u6587\u6307\u4ee4\uff0c\u6548\u679c\u4e0e\u82f1\u6587\u76f8\u5f53\u3002\u5efa\u8bae\u7528\u7b80\u6d01\u8bed\u8a00\u63cf\u8ff0\u9700\u6c42\u3002<\/li>\n
                      4. FP8 \u91cf\u5316\u7248\u672c\u6709\u4f55\u4e0d\u540c\uff1f<\/strong>
                        \nFP8 \u7248\u672c\u964d\u4f4e\u663e\u5b58\u9700\u6c42\uff0816GB \u53ef\u8fd0\u884c\uff09\uff0c\u4f46\u53ef\u80fd\u7565\u727a\u7272\u7ec6\u8282\u3002\u9002\u5408\u786c\u4ef6\u8d44\u6e90\u6709\u9650\u7684\u7528\u6237\u3002<\/li>\n
                      5. \u662f\u5426\u9700\u8981\u8054\u7f51\u8fd0\u884c\uff1f<\/strong>
                        \n\u672c\u5730\u8fd0\u884c\u65e0\u9700\u8054\u7f51\u3002\u5728\u7ebf\u6f14\u793a\u9700\u8981\u8bbf\u95ee Hugging Face \u7a7a\u95f4\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"
                        Step1X-Edit \u662f\u4e00\u4e2a\u5f00\u6e90\u56fe\u50cf\u7f16\u8f91\u6846\u67b6\uff0c\u7531 Stepfun AI \u56e2\u961f\u5f00\u53d1\uff0c\u6258\u7ba1\u4e8e GitHub\u3002\u5b83\u7ed3\u5408\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b\uff08Qwen-VL\uff09\u548c\u6269\u6563\u53d8\u6362\u5668\uff08DiT\uff09\uff0c\u8ba9\u7528\u6237\u901a\u8fc7\u7b80\u5355\u7684\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\u7f16\u8f91\u56fe\u50cf\uff0c\u4f8b\u5982\u66f4\u6539\u80cc\u666f\u3001\u79fb\u9664\u7269\u4f53\u6216\u8f6c\u6362\u98ce\u683c…<\/p>\n","protected":false},"author":1,"featured_media":62328,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[259,230],"class_list":["post-30925","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aituxiangbianji","tag-aikaiyuanxiangmu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/30925","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=30925"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/30925\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/62328"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=30925"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=30925"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=30925"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}