{"id":4876,"date":"2025-03-08T01:08:49","date_gmt":"2025-03-07T17:08:49","guid":{"rendered":"https:\/\/infernews.com\/?page_id=4876"},"modified":"2025-03-08T01:08:50","modified_gmt":"2025-03-07T17:08:50","slug":"diffusion-model-ltxvideo","status":"publish","type":"page","link":"https:\/\/infernews.com\/blog\/diffusion-model-ltxvideo\/","title":{"rendered":"Diffusion Model – LTXVideo"},"content":{"rendered":"\n

\u5728 ComfyUI-LTXVideo<\/code> \u7684\u80cc\u666f\u4e0b\uff0csigma\uff08\u03c3\uff09<\/strong> \u662f\u6307\u53bb\u566a\u904e\u7a0b\uff08denoising process\uff09\u4e2d\u4f7f\u7528\u7684\u566a\u8072\u6c34\u5e73\uff08noise level\uff09\uff0c\u5b83\u662f LTX\uff08Latent Vision\uff09\u6a21\u578b\u751f\u6210\u8996\u983b\u6642\u8abf\u5ea6\u5668\uff08scheduler\uff0c\u4f8b\u5982 LTXVScheduler<\/code>\uff09\u7684\u6838\u5fc3\u6982\u5ff5\u4e4b\u4e00\u3002Sigma \u4ee3\u8868\u4e86\u6bcf\u500b\u53bb\u566a\u6b65\u9a5f\u4e2d\u7684\u566a\u8072\u5f37\u5ea6\uff0c\u901a\u904e\u9010\u6b65\u6e1b\u5c11\u566a\u8072\uff0c\u5f9e\u96a8\u6a5f\u566a\u8072\u8f49\u63db\u70ba\u6700\u7d42\u7684\u8996\u983b\u5e40\u3002\u4ee5\u4e0b\u662f\u7528\u7e41\u9ad4\u4e2d\u6587\u5c0d sigma \u5728 LTXVideo \u4e2d\u7684\u4f5c\u7528\u548c\u610f\u7fa9\u7684\u8a73\u7d30\u89e3\u91cb\uff0c\u57fa\u65bc\u622a\u81f3 2025 \u5e74 3 \u6708 6 \u65e5\u7684 ComfyUI \u548c LTXVideo \u7684\u5e38\u898b\u5be6\u73fe\u3002<\/p>\n\n\n\n

\n\n\n\n

Sigma \u7684\u57fa\u672c\u6982\u5ff5<\/h3>\n\n\n\n
    \n
  • \u5b9a\u7fa9<\/strong>\uff1aSigma \u662f\u4e00\u500b\u6578\u503c\uff0c\u8868\u793a\u5728\u6f5b\u5728\u7a7a\u9593\uff08latent space\uff09\u4e2d\u6dfb\u52a0\u7684\u566a\u8072\u91cf\u3002\u8f03\u9ad8\u7684 sigma \u503c\u8868\u793a\u66f4\u591a\u7684\u566a\u8072\uff08\u521d\u59cb\u6b65\u9a5f\uff09\uff0c\u800c\u8f03\u4f4e\u7684 sigma \u503c\u8868\u793a\u63a5\u8fd1\u6700\u7d42\u4e7e\u6de8\u7684\u8f38\u51fa\uff08\u7d42\u6b62\u6b65\u9a5f\uff09\u3002<\/li>\n\n\n\n
  • \u4f86\u6e90<\/strong>\uff1a\u5728\u64f4\u6563\u6a21\u578b\uff08diffusion models\uff09\u4e2d\uff0csigma \u662f\u57fa\u65bc\u8b8a\u5206\u81ea\u7de8\u78bc\u5668\uff08VAE\uff09\u548c\u96a8\u6a5f\u904e\u7a0b\uff08stochastic process\uff09\u5c0e\u51fa\u7684\uff0c\u63cf\u8ff0\u4e86\u566a\u8072\u5206\u4f48\u7684\u6a19\u6e96\u5dee\uff08standard deviation\uff09\u3002LTXVideo \u5ef6\u7528\u4e86\u9019\u7a2e\u6846\u67b6\uff0c\u4f46\u91dd\u5c0d\u8996\u983b\u751f\u6210\u9032\u884c\u4e86\u512a\u5316\u3002<\/li>\n\n\n\n
  • \u4f5c\u7528<\/strong>\uff1aSigma \u8abf\u5ea6\uff08sigma schedule\uff09\u6307\u5c0e\u6a21\u578b\u5982\u4f55\u5f9e\u9ad8\u566a\u8072\u72c0\u614b\uff08\u5b8c\u5168\u96a8\u6a5f\uff09\u9010\u6b65\u903c\u8fd1\u76ee\u6a19\u8996\u983b\uff0c\u78ba\u4fdd\u5e40\u8207\u5e40\u4e4b\u9593\u7684\u6642\u9593\u9023\u8cab\u6027\uff08temporal coherence\uff09\u3002<\/li>\n<\/ul>\n\n\n\n
    \n\n\n\n

    Sigma \u5728 LTXVScheduler \u4e2d\u7684\u5177\u9ad4\u61c9\u7528<\/h3>\n\n\n\n

    \u5728\u60a8\u63d0\u4f9b\u7684 LTXVScheduler<\/code> \u7bc0\u9ede\u4e2d\uff0csigma \u662f\u901a\u904e\u4ee5\u4e0b\u53c3\u6578\u9593\u63a5\u63a7\u5236\u7684\uff1a<\/p>\n\n\n\n

      \n
    1. steps\uff08\u6b65\u6578\uff09<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n
        \n
      • \u5b9a\u7fa9\u53bb\u566a\u904e\u7a0b\u7684\u7e3d\u6b65\u6578\uff08\u4f8b\u5982 30 \u6b65\uff09\u3002<\/li>\n\n\n\n
      • Sigma \u6703\u5728\u9019\u4e9b\u6b65\u9a5f\u4e2d\u5f9e\u521d\u59cb\u503c\uff08\u9ad8\u566a\u8072\uff09\u9010\u6f38\u4e0b\u964d\u5230\u7d42\u6b62\u503c\uff08\u4f4e\u566a\u8072\uff09\u3002<\/li>\n<\/ul>\n\n\n\n
          \n
        1. max_shift\uff08\u6700\u5927\u504f\u79fb\uff09<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n
            \n
          • \u8abf\u6574 sigma \u8abf\u5ea6\u7684\u7bc4\u570d\u3002\u503c\u70ba 2.05 \u6642\uff0c\u5141\u8a31\u8f03\u5927\u7684\u566a\u8072\u8b8a\u5316\uff0c\u5f71\u97ff\u8996\u983b\u7684\u52d5\u614b\u611f\u3002<\/li>\n\n\n\n
          • \u8f03\u9ad8\u7684 max_shift<\/code> \u6703\u62c9\u4f38 sigma \u7684\u8b8a\u5316\u7bc4\u570d\uff0c\u589e\u52a0\u6f5b\u5728\u7684\u5275\u610f\u6027\uff0c\u4f46\u53ef\u80fd\u5f15\u5165\u4e0d\u7a69\u5b9a\u6027\u3002<\/li>\n<\/ul>\n\n\n\n
              \n
            1. base_shift\uff08\u57fa\u790e\u504f\u79fb\uff09<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n
                \n
              • \u504f\u79fb sigma \u7684\u57fa\u6e96\u503c\uff0c\u9810\u8a2d\u70ba 0.95\u3002\u8f03\u4f4e\u7684\u503c\uff08\u5982 0.5-1.0\uff09\u6e1b\u5c11\u521d\u59cb\u566a\u8072\u6c34\u5e73\uff0c\u5f71\u97ff\u751f\u6210\u904e\u7a0b\u7684\u8d77\u9ede\u3002<\/li>\n\n\n\n
              • \u8207 max_shift<\/code> \u914d\u5408\u4f7f\u7528\uff0c\u63a7\u5236\u6574\u9ad4\u566a\u8072\u5206\u4f48\u3002<\/li>\n<\/ul>\n\n\n\n
                  \n
                1. stretch\uff08\u62c9\u4f38\uff09<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n
                    \n
                  • \u82e5\u8a2d\u70ba true<\/code>\uff0c\u6703\u62c9\u4f38 sigma \u8abf\u5ea6\u4ee5\u9069\u61c9\u6b65\u6578\uff0c\u78ba\u4fdd\u6bcf\u500b\u6b65\u9a5f\u7684\u566a\u8072\u8b8a\u5316\u5747\u52fb\uff0c\u53ef\u80fd\u63d0\u5347\u8996\u983b\u7684\u5e73\u6ed1\u5ea6\u3002<\/li>\n\n\n\n
                  • \u82e5\u8a2d\u70ba false<\/code>\uff0c\u5247\u4f7f\u7528\u6a19\u6e96\u7dda\u6027\u4e0b\u964d\uff0c\u53ef\u80fd\u66f4\u9069\u5408\u67d0\u4e9b\u7279\u5b9a\u6a21\u578b\u3002<\/li>\n<\/ul>\n\n\n\n
                      \n
                    1. terminal\uff08\u7d42\u9ede\u503c\uff09<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n
                        \n
                      • \u5b9a\u7fa9 sigma \u7684\u6700\u4f4e\u503c\uff0c\u9810\u8a2d\u70ba 0.10\u3002\u9019\u500b\u503c\u6c7a\u5b9a\u53bb\u566a\u7d50\u675f\u6642\u4fdd\u7559\u7684\u566a\u8072\u91cf\u3002<\/li>\n\n\n\n
                      • \u8f03\u4f4e\u7684 terminal<\/code>\uff08\u4f8b\u5982 0.05\uff09\u7522\u751f\u66f4\u4e7e\u6de8\u7684\u8996\u983b\uff0c\u4f46\u53ef\u80fd\u5931\u53bb\u4e00\u4e9b\u7d30\u7bc0\u6216\u52d5\u614b\u611f\u3002<\/li>\n<\/ul>\n\n\n\n
                          \n
                        1. SIGMAS \u8f38\u51fa<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n
                            \n
                          • \u662f\u4e00\u500b\u5f35\u91cf\uff0c\u5305\u542b\u6bcf\u500b\u6b65\u9a5f\u5c0d\u61c9\u7684 sigma \u503c\uff08\u4f8b\u5982 [2.05, 1.98, \u2026, 0.10]\uff09\u3002<\/li>\n\n\n\n
                          • \u9019\u500b\u5f35\u91cf\u88ab\u50b3\u905e\u7d66\u63a1\u6a23\u7bc0\u9ede\uff08\u5982 KSampler<\/code> \u6216 LTXVImgToVideo<\/code> \u7684\u5167\u90e8\u908f\u8f2f\uff09\uff0c\u6307\u5c0e\u53bb\u566a\u904e\u7a0b\u3002<\/li>\n<\/ul>\n\n\n\n
                            \n\n\n\n

                            Sigma \u5728 LTXVideo \u751f\u6210\u904e\u7a0b\u4e2d\u7684\u4f5c\u7528<\/h3>\n\n\n\n

                            LTXVideo \u4f7f\u7528\u64f4\u6563\u6a21\u578b\u7684\u539f\u7406\uff0c\u5c07\u8f38\u5165\u5716\u50cf\uff08\u6216\u5176\u6f5b\u5728\u8868\u793a\uff09\u8207\u566a\u8072\u7d50\u5408\uff0c\u901a\u904e\u53cd\u5411\u53bb\u566a\u751f\u6210\u8996\u983b\u3002Sigma \u7684\u5177\u9ad4\u4f5c\u7528\u5982\u4e0b\uff1a<\/p>\n\n\n\n

                              \n
                            • \u521d\u59cb\u72c0\u614b<\/strong>\uff1a\u5728\u7b2c\u4e00\u6b65\uff0csigma \u63a5\u8fd1 max_shift<\/code>\uff08\u4f8b\u5982 2.05\uff09\uff0c\u5716\u50cf\u88ab\u5b8c\u5168\u566a\u8072\u5316\uff0c\u6210\u70ba\u96a8\u6a5f\u566a\u8072\u3002<\/li>\n\n\n\n
                            • \u9010\u6b65\u53bb\u566a<\/strong>\uff1a\u96a8\u8457\u6b65\u6578\u589e\u52a0\uff0csigma \u9010\u6f38\u4e0b\u964d\uff08\u6839\u64da base_shift<\/code> \u548c terminal<\/code> \u8abf\u6574\uff09\uff0c\u6a21\u578b\u9810\u6e2c\u4e26\u79fb\u9664\u566a\u8072\uff0c\u9010\u6b65\u9084\u539f\u5716\u50cf\u5167\u5bb9\u4e26\u6dfb\u52a0\u6642\u9593\u7dad\u5ea6\u7684\u8b8a\u5316\u3002<\/li>\n\n\n\n
                            • \u7d42\u6b62\u72c0\u614b<\/strong>\uff1a\u5728\u6700\u5f8c\u4e00\u6b65\uff0csigma \u9054\u5230 terminal<\/code>\uff08\u4f8b\u5982 0.10\uff09\uff0c\u751f\u6210\u63a5\u8fd1\u6700\u7d42\u8996\u983b\u7684\u4e7e\u6de8\u5e40\u3002<\/li>\n\n\n\n
                            • \u6642\u9593\u9023\u8cab\u6027<\/strong>\uff1a\u7531\u65bc\u662f\u8996\u983b\u751f\u6210\uff0csigma \u8abf\u5ea6\u9700\u78ba\u4fdd\u5e40\u8207\u5e40\u4e4b\u9593\u7684\u5e73\u6ed1\u904e\u6e21\uff0c\u9019\u662f\u7531 stretch<\/code> \u548c\u6b65\u6578\u5171\u540c\u63a7\u5236\u7684\u3002<\/li>\n<\/ul>\n\n\n\n
                              \n\n\n\n

                              \u70ba\u4ec0\u9ebc\u9700\u8981\u8abf\u6574 Sigma\uff1f<\/h3>\n\n\n\n
                                \n
                              • \u8cea\u91cf\u63a7\u5236<\/strong>\uff1a\u8abf\u6574 steps<\/code> \u548c terminal<\/code> \u53ef\u4ee5\u5e73\u8861\u8996\u983b\u7684\u7d30\u7bc0\u548c\u8a08\u7b97\u6210\u672c\u3002<\/li>\n\n\n\n
                              • \u5275\u610f\u6027<\/strong>\uff1a\u6539\u8b8a max_shift<\/code> \u548c base_shift<\/code> \u53ef\u4ee5\u5f15\u5165\u66f4\u591a\u96a8\u6a5f\u6027\u6216\u7a69\u5b9a\u6027\uff0c\u5f71\u97ff\u8996\u983b\u7684\u52d5\u614b\u6548\u679c\u3002<\/li>\n\n\n\n
                              • \u786c\u9ad4\u9650\u5236<\/strong>\uff1a\u8f03\u9ad8\u7684 steps<\/code> \u6216\u904e\u5927\u7684 max_shift<\/code> \u53ef\u80fd\u589e\u52a0 VRAM \u4f7f\u7528\u91cf\uff08\u4f8b\u5982\u5728 RTX 4090 \u4e0a\uff0c24 GB \u8db3\u4ee5\u61c9\u5c0d 768×512 \u5206\u8fa8\u7387\uff0c\u4f46 4K \u53ef\u80fd\u9700\u8981\u512a\u5316\uff09\u3002<\/li>\n<\/ul>\n\n\n\n
                                \n\n\n\n

                                \u5be6\u7528\u5efa\u8b70<\/h3>\n\n\n\n
                                  \n
                                • \u9810\u8a2d\u503c\u6e2c\u8a66<\/strong>\uff1a\u4f7f\u7528\u5716\u7247\u4e2d\u7684\u9810\u8a2d\u503c\uff08steps: 30, max_shift: 2.05, base_shift: 0.95, stretch: true, terminal: 0.10\uff09\u4f5c\u70ba\u8d77\u9ede\uff0c\u751f\u6210\u8996\u983b\u4e26\u6aa2\u67e5\u7d50\u679c\u3002<\/li>\n\n\n\n
                                • \u5fae\u8abf<\/strong>\uff1a<\/li>\n\n\n\n
                                • \u82e5\u8996\u983b\u6a21\u7cca\uff0c\u589e\u52a0 steps<\/code> \u5230 40-50\uff0c\u6216\u964d\u4f4e terminal<\/code> \u5230 0.05\u3002<\/li>\n\n\n\n
                                • \u82e5\u8996\u983b\u6709\u566a\u9ede\uff0c\u6e1b\u5c11 max_shift<\/code> \u5230 1.5\uff0c\u6216\u63d0\u9ad8 base_shift<\/code> \u5230 1.0\u3002<\/li>\n\n\n\n
                                • \u82e5\u5e40\u4e0d\u9023\u8cab\uff0c\u78ba\u4fdd stretch<\/code> \u70ba true<\/code>\uff0c\u4e26\u6aa2\u67e5 steps<\/code> \u662f\u5426\u8db3\u5920\u3002<\/li>\n\n\n\n
                                • \u786c\u9ad4\u8003\u616e<\/strong>\uff1a\u5728 RTX 4090 \u4e0a\uff0c\u5efa\u8b70\u4fdd\u6301\u5206\u8fa8\u7387\u5728 1280×720 \u4ee5\u4e0b\uff0c\u4e26\u76e3\u63a7 VRAM \u4f7f\u7528\u60c5\u6cc1\u3002<\/li>\n<\/ul>\n\n\n\n
                                  \n\n\n\n

                                  \u8207 LTXVImgToVideo \u7684\u95dc\u4fc2<\/h3>\n\n\n\n

                                  LTXVScheduler<\/code> \u7684 SIGMAS<\/code> \u8f38\u51fa\u901a\u5e38\u9700\u8981\u8207 LTXVImgToVideo<\/code> \u6574\u5408\u3002\u5982\u679c LTXVImgToVideo<\/code> \u5167\u90e8\u6c92\u6709\u76f4\u63a5\u4f7f\u7528 SIGMAS<\/code>\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u63d2\u5165\u4e00\u500b KSampler<\/code> \u7bc0\u9ede\uff1a<\/p>\n\n\n\n

                                    \n
                                  • \u5c07 latent<\/code> \u548c SIGMAS<\/code> \u9023\u63a5\u5230 KSampler<\/code>\u3002<\/li>\n\n\n\n
                                  • \u5c07 KSampler<\/code> \u7684\u8f38\u51fa\uff08\u63a1\u6a23\u5f8c\u7684\u6f5b\u5728\u8868\u793a\uff09\u50b3\u7d66 LTXVImgToVideo<\/code>\u3002<\/li>\n<\/ul>\n\n\n\n

                                    \u6aa2\u67e5 ComfyUI-LTXVideo<\/code> \u7684\u539f\u59cb\u78bc\uff08\u4f8b\u5982 nodes_registry.py<\/code>\uff09\u4ee5\u78ba\u8a8d LTXVImgToVideo<\/code> \u662f\u5426\u5167\u5efa\u8abf\u5ea6\u5668\uff0c\u6216\u662f\u5426\u9700\u8981\u5916\u90e8 LTXVScheduler<\/code>\u3002<\/p>\n\n\n\n

                                    \n\n\n\n

                                    \u7e3d\u7d50<\/h3>\n\n\n\n

                                    Sigma \u5728 LTXVideo \u4e2d\u662f\u53bb\u566a\u904e\u7a0b\u7684\u95dc\u9375\u53c3\u6578\uff0c\u901a\u904e LTXVScheduler<\/code> \u7684\u53c3\u6578\uff08steps, max_shift, base_shift, stretch, terminal\uff09\u9032\u884c\u63a7\u5236\u3002\u5b83\u6c7a\u5b9a\u4e86\u5f9e\u566a\u8072\u5230\u8996\u983b\u7684\u8f49\u63db\u8def\u5f91\uff0c\u5f71\u97ff\u8cea\u91cf\u3001\u52d5\u614b\u6027\u548c\u8a08\u7b97\u6548\u7387\u3002\u6839\u64da\u60a8\u7684\u9700\u6c42\u8abf\u6574\u9019\u4e9b\u53c3\u6578\uff0c\u4e26\u8207 LTXVImgToVideo<\/code> \u914d\u5408\u4f7f\u7528\uff0c\u5373\u53ef\u751f\u6210\u7b26\u5408\u9810\u671f\u7684\u8996\u983b\u3002<\/p>\n\n\n\n

                                    <\/p>\n","protected":false},"excerpt":{"rendered":"

                                    \u5728 ComfyUI-LTXVideo \u7684\u80cc\u666f\u4e0b\uff0csigma\uff08\u03c3\uff09 \u662f\u6307\u53bb\u566a\u904e\u7a0b\uff08denoising process\uff09\u4e2d\u4f7f\u7528\u7684\u566a\u8072\u6c34\u5e73\uff08noise level\uff09\uff0c\u5b83\u662f LTX\uff08Latent Vision\uff09\u6a21\u578b\u751f\u6210\u8996\u983b\u6642\u8abf\u5ea6\u5668\uff08scheduler\uff0c\u4f8b\u5982 LTXVScheduler\uff09\u7684\u6838\u5fc3\u6982\u5ff5\u4e4b\u4e00\u3002Sigma \u4ee3\u8868\u4e86\u6bcf\u500b\u53bb\u566a\u6b65\u9a5f\u4e2d\u7684\u566a\u8072\u5f37\u5ea6\uff0c\u901a\u904e\u9010\u6b65\u6e1b\u5c11\u566a\u8072\uff0c\u5f9e\u96a8\u6a5f\u566a\u8072\u8f49\u63db\u70ba\u6700\u7d42\u7684\u8996\u983b\u5e40\u3002\u4ee5\u4e0b\u662f\u7528\u7e41\u9ad4\u4e2d\u6587\u5c0d sigma \u5728 LTXVideo \u4e2d\u7684\u4f5c\u7528\u548c\u610f\u7fa9\u7684\u8a73\u7d30\u89e3\u91cb\uff0c\u57fa\u65bc\u622a\u81f3 2025 \u5e74 3 \u6708 6 \u65e5\u7684 ComfyUI \u548c LTXVideo \u7684\u5e38\u898b\u5be6\u73fe\u3002 Sigma \u7684\u57fa\u672c\u6982\u5ff5 Sigma \u5728 LTXVScheduler \u4e2d\u7684\u5177\u9ad4\u61c9\u7528 \u5728\u60a8\u63d0\u4f9b\u7684 LTXVScheduler \u7bc0\u9ede\u4e2d\uff0csigma \u662f\u901a\u904e\u4ee5\u4e0b\u53c3\u6578\u9593\u63a5\u63a7\u5236\u7684\uff1a Sigma \u5728 LTXVideo \u751f\u6210\u904e\u7a0b\u4e2d\u7684\u4f5c\u7528 LTXVideo \u4f7f\u7528\u64f4\u6563\u6a21\u578b\u7684\u539f\u7406\uff0c\u5c07\u8f38\u5165\u5716\u50cf\uff08\u6216\u5176\u6f5b\u5728\u8868\u793a\uff09\u8207\u566a\u8072\u7d50\u5408\uff0c\u901a\u904e\u53cd\u5411\u53bb\u566a\u751f\u6210\u8996\u983b\u3002Sigma \u7684\u5177\u9ad4\u4f5c\u7528\u5982\u4e0b\uff1a \u70ba\u4ec0\u9ebc\u9700\u8981\u8abf\u6574 Sigma\uff1f \u5be6\u7528\u5efa\u8b70 \u8207 LTXVImgToVideo \u7684\u95dc\u4fc2 LTXVScheduler \u7684 SIGMAS \u8f38\u51fa\u901a\u5e38\u9700\u8981\u8207 LTXVImgToVideo \u6574\u5408\u3002\u5982\u679c LTXVImgToVideo \u5167\u90e8\u6c92\u6709\u76f4\u63a5\u4f7f\u7528 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"googlesitekit_rrm_CAowvqSiDA:productID":"","footnotes":""},"class_list":["post-4876","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/pages\/4876","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=4876"}],"version-history":[{"count":0,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/pages\/4876\/revisions"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=4876"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}