{"id":23640,"date":"2024-10-13T09:53:31","date_gmt":"2024-10-13T09:53:31","guid":{"rendered":"https:\/\/www.ipic.ai\/blogs\/?p=23640"},"modified":"2024-12-06T16:50:19","modified_gmt":"2024-12-06T16:50:19","slug":"generating-realistic-human-faces-2","status":"publish","type":"post","link":"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/","title":{"rendered":"Generate Photorealistic Faces With Unconditional Image Models"},"content":{"rendered":"<p>Unconditional image models have made significant strides in generating <strong>photorealistic faces<\/strong>.<\/p>\n<p>Photorealistic faces are reliably produced by refining random noise vectors through <strong>sequential transformations<\/strong> and progressively learned mappings.<\/p>\n<p>This technology offers diverse applications across various domains&#044; particularly in areas like <strong>artistic expression<\/strong>&#044; data augmentation&#044; and virtual reality.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_71 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#Key_Takeaways\" title=\"Key Takeaways\">Key Takeaways<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#How_Unconditional_Models_Work\" title=\"How Unconditional Models Work\">How Unconditional Models Work<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#Realistic_Face_Generation_Examples\" title=\"Realistic Face Generation Examples\">Realistic Face Generation Examples<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#Advanced_Features_and_Controls\" title=\"Advanced Features and Controls\">Advanced Features and Controls<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#Applications_in_Advertising_and_Gaming\" title=\"Applications in Advertising and Gaming\">Applications in Advertising and Gaming<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#AI_Model_Ethics_and_Controversies\" title=\"AI Model Ethics and Controversies\">AI Model Ethics and Controversies<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#Exploring_the_Latent_Space\" title=\"Exploring the Latent Space\">Exploring the Latent Space<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#Frequently_Asked_Questions\" title=\"Frequently Asked Questions\">Frequently Asked Questions<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#Which_Model_Can_Generate_Realistic_Image_Data\" title=\"Which Model Can Generate Realistic Image Data&#063;\">Which Model Can Generate Realistic Image Data&#063;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#What_Is_Unconditional_Generation\" title=\"What Is Unconditional Generation&#063;\">What Is Unconditional Generation&#063;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#What_Is_Conditional_Image_Generation\" title=\"What Is Conditional Image Generation&#063;\">What Is Conditional Image Generation&#063;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#Key_Takeaways-2\" title=\"Key Takeaways&#058;\">Key Takeaways&#058;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.ipic.ai\/blogs\/generating-realistic-human-faces-2\/#What_Is_Text_to_Image_Generation\" title=\"What Is Text to Image Generation&#063;\">What Is Text to Image Generation&#063;<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Key_Takeaways\"><\/span>Key Takeaways<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><strong>Photorealistic Face <a href=\"https:\/\/www.ipic.ai\/blogs\/ai-image-generator-tools\/\"  data-wpil-monitor-id=\"11863\">Generation with Unconditional Image<\/a> Models<\/strong><\/p>\n<ul>\n<li><strong>High-quality<\/strong> faces are generated through transformations of random noise vectors.<\/li>\n<li><strong>Advanced<\/strong> <a href=\"https:\/\/www.ipic.ai\/blogs\/a-beginners-guide-stable-diffusion-models\/\"  data-wpil-monitor-id=\"11719\">diffusion models<\/a> and <strong>score-based<\/strong> generative models produce realistic faces.<\/li>\n<li><strong>Precision<\/strong> feature control enables efficient tuning for high-quality synthesis.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"How_Unconditional_Models_Work\"><\/span>How Unconditional Models Work<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"embed-youtube\" style=\"position: relative;width: 100%;height: 0;padding-bottom: 56.25%;margin-bottom:20px\"><\/div>\n<p>Unconditional <a href=\"https:\/\/www.ipic.ai\/blogs\/celebrity-ai-image-generator\/\"  data-wpil-monitor-id=\"12039\">image generation<\/a> models work by transforming random noise vectors into realistic images through a series of transformations.<\/p>\n<p><strong>Seed<\/strong> initializes the process&#044; generating a noise vector that is progressively refined into an image closely resembling the training data.<\/p>\n<p>Key to such generation are <strong>diffusion models<\/strong>&#044; which achieve high-quality synthesis by sequentially applying denoising autoencoders. They generate medical images&#044; product designs&#044; and photorealistic images for virtual reality.<\/p>\n<p><strong>Score-based generative modeling<\/strong> through stochastic differential equations has shown exceptional results&#044; such as an Inception score of 9.89 and FID of 2.20 for unconditional <a href=\"https:\/\/www.ipic.ai\/blogs\/ai-image-generator-with-no-filter\/\"  data-wpil-monitor-id=\"12161\">image generation<\/a> on CIFAR-10.<\/p>\n<p>These models have numerous applications across various domains.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Realistic_Face_Generation_Examples\"><\/span>Realistic Face Generation Examples<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"body-image-wrapper\" style=\"margin-bottom:20px\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1006\" height=\"575\" src=\"https:\/\/www.ipic.ai\/blogs\/wp-content\/uploads\/2024\/07\/ai_generated_human_faces.jpg\" alt=\"ai generated human faces\" style=\"aspect-ratio: 16\/9\" title=\"- iPic.ai - Create Beautiful Ai Art or Ai Images For Free\"><\/div>\n<p>Advanced diffusion models and score-based generative modeling have significantly progressed realistic face generation.<\/p>\n<p><strong>Photorealistic<\/strong> models like EditGAN and pg-GAN have consistently produced high-quality images&#044; often indistinguishable from real-world photographs.<\/p>\n<p>These advancements have enormous implications for applications where realistic faces are essential&#044; such as advertising&#044; fashion&#044; and gaming.<\/p>\n<p>The website <strong>www.whichfaceisreal.com<\/strong> demonstrates the level of realism achieved by unconditional <a href=\"https:\/\/www.ipic.ai\/blogs\/chat-gpt-image-generator\/\"  data-wpil-monitor-id=\"12530\">image generation<\/a> models.<\/p>\n<p>These models&#044; powered by variants like pg-GAN&#044; DC-GAN&#044; and AC-GAN&#044; are capable of generating faces with convincing details even at high resolutions&#044; making them increasingly suitable for realistic face generation.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Advanced_Features_and_Controls\"><\/span>Advanced Features and Controls<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"body-image-wrapper\" style=\"margin-bottom:20px\"><img decoding=\"async\" width=\"1006\" height=\"575\" src=\"https:\/\/www.ipic.ai\/blogs\/wp-content\/uploads\/2024\/07\/customize_your_device_settings.jpg\" alt=\"customize your device settings\" style=\"aspect-ratio: 16\/9\" title=\"- iPic.ai - Create Beautiful Ai Art or Ai Images For Free\"><\/div>\n<p>Advanced diffusion models and generative adversarial networks &#040;GANs&#041; have made significant strides in face generation by incorporating <strong>feature disentanglement<\/strong> and <strong>precise axial manipulation<\/strong>.<\/p>\n<p>This improvement has enabled the creation of highly realistic images with <strong>tunable features<\/strong>&#044; leveraging state-of-the-art models like progressive-Growing GAN &#040;PGGAN&#041;.<\/p>\n<p>Models like PGGAN&#044; Deep Convolutional GAN &#040;DCGAN&#041;&#044; and Auxiliary Classifier GAN &#040;ACGAN&#041; have shown promising results.<\/p>\n<p>However&#044; <strong>TL-GAN<\/strong>&#044; which leverages NVIDIA&#039;s pg-GAN&#044; allows for precise control over generated features.<\/p>\n<p>This control is achieved by <strong>disentangling correlated feature axes<\/strong>&#044; allowing for precise axial manipulation&#044; making it highly conducive for applications such as advertising&#044; fashion&#044; and gaming where <strong>unconditional image generation<\/strong> models can produce high-quality images.<\/p>\n<p>TL-GAN enables the efficient addition of new tunable features&#044; providing a high degree of control.<\/p>\n<p>This precise control can be utilized in content creation&#044; <strong>content-aware smart editing<\/strong>&#044; and data augmentation.<\/p>\n<p>Users can tune one or multiple features gradually&#044; making it an invaluable tool for various applications.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Applications_in_Advertising_and_Gaming\"><\/span>Applications in Advertising and Gaming<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"body-image-wrapper\" style=\"margin-bottom:20px\"><img decoding=\"async\" width=\"1006\" height=\"575\" src=\"https:\/\/www.ipic.ai\/blogs\/wp-content\/uploads\/2024\/07\/using_tech_for_fun.jpg\" alt=\"using tech for fun\" style=\"aspect-ratio: 16\/9\" title=\"- iPic.ai - Create Beautiful Ai Art or Ai Images For Free\"><\/div>\n<p><strong>Personalized Avatars<\/strong><\/p>\n<p>Incorporating TL-GAN&#039;s precise feature control into gaming platforms allows for the creation of highly diverse and personalizable avatars. This enhances user experiences.<\/p>\n<p><strong>Advertising Platforms<\/strong><\/p>\n<p>TL-GAN&#039;s unconditional image models offer unparalleled flexibility in creating realistic faces with defined attributes. This feature set makes them ideal for generating avatars in advertising contexts.<\/p>\n<p>For instance&#044; advertisers can produce personalized product images by incorporating faces with specific demographic characteristics. This enables advertisers to target specific demographics more effectively.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"AI_Model_Ethics_and_Controversies\"><\/span>AI Model Ethics and Controversies<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"body-image-wrapper\" style=\"margin-bottom:20px\"><img loading=\"lazy\" decoding=\"async\" width=\"1006\" height=\"575\" src=\"https:\/\/www.ipic.ai\/blogs\/wp-content\/uploads\/2024\/07\/morals_in_machine_learning.jpg\" alt=\"morals in machine learning\" style=\"aspect-ratio: 16\/9\" title=\"- iPic.ai - Create Beautiful Ai Art or Ai Images For Free\"><\/div>\n<p><strong>AI Ethics<\/strong>&#044; <strong>Accountability<\/strong>&#044; and <strong>Deepfakes<\/strong>&#058; Navigating the Controversies of AI-Generated Faces<\/p>\n<p>The increasing sophistication of AI technologies has led to the proliferation of AI-generated faces&#044; creating a myriad of <strong>ethical concerns<\/strong> and controversies.<\/p>\n<p>AI-generated faces are criticized for their potential to create <strong>deepfakes<\/strong>&#044; perpetuate biases&#044; and amplify social inequalities present in training datasets.<\/p>\n<p>Without proper safeguards&#044; these AI-generated faces can be used for malicious purposes like spreading misinformation or creating synthetic identities for illegal activities&#044; compromising <strong>individual privacy<\/strong> and <strong>social trust<\/strong>.<\/p>\n<p>The questions surrounding <strong>ownership<\/strong> and <strong>agency<\/strong> necessitate a reevaluation of the current legal framework to guarantee <strong>accountability<\/strong> and <strong>transparency<\/strong>.<\/p>\n<p>By acknowledging these ethical challenges&#044; the development and deployment of AI-generated faces can be guided by a more responsible and socially conscious approach.<\/p>\n<p>This includes ensuring stricter regulations on the use of AI-powered surveillance systems to prevent privacy violations and guarantee ethical deployment.<\/p>\n<p>Furthermore&#044; the importance of establishing clear <strong>standards<\/strong> for the use and creation of AI-generated faces&#044; particularly in domains like politics and journalism&#044; cannot be overstated.<\/p>\n<p>As we delve into the world of AI-generated faces&#044; it is crucial to consider the broader implications on social dynamics and the need for responsible AI governance to prevent such technologies from being misused or perpetuating harmful biases.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Exploring_the_Latent_Space\"><\/span>Exploring the Latent Space<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"body-image-wrapper\" style=\"margin-bottom:20px\"><img loading=\"lazy\" decoding=\"async\" width=\"1006\" height=\"575\" src=\"https:\/\/www.ipic.ai\/blogs\/wp-content\/uploads\/2024\/07\/uncovering_hidden_data_patterns.jpg\" alt=\"uncovering hidden data patterns\" style=\"aspect-ratio: 16\/9\" title=\"- iPic.ai - Create Beautiful Ai Art or Ai Images For Free\"><\/div>\n<p>Exploring <strong>latent space<\/strong> in unconditional image generation models <strong>offers<\/strong> insights into the structure of generated images and opens up avenues for controllable synthesis and editing.<\/p>\n<p>This <strong>&#042;latent space<\/strong>&#042;&#044; inherent to generative models&#044; can be used to <strong>disentangle<\/strong> features of the generated images&#044; thereby enabling precise control over the synthesis process.<\/p>\n<p>In facial image generation&#044; the TL-GAN model&#044; developed upon NVIDIA&#039;s PG-GAN&#044; provides a powerful framework for <strong>exploring<\/strong> the <strong>&#042;latent space<\/strong>&#042;.<\/p>\n<p>By tying the <strong>&#042;latent space<\/strong>&#042; to feature labels using a pre-trained feature extractor network&#044; this model allows for controlled synthesis and editing of photorealistic faces.<\/p>\n<p>Unconditional diffusion models also contribute to this <strong>exploration<\/strong>&#044; as they decompose the image formation process into sequential denoising steps.<\/p>\n<p>This decomposition furthers our <strong>understanding<\/strong> of the <strong>&#042;latent space<\/strong>&#042; and its correlation to the final generated images.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span>Frequently Asked Questions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Which_Model_Can_Generate_Realistic_Image_Data\"><\/span>Which Model Can Generate Realistic Image Data&#063;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Several models&#044; <strong>denoising diffusion<\/strong>&#044; <strong>score-based<\/strong>&#044; and <strong>BigBiGAN<\/strong>&#044; generate realistic image data with state-of-the-art results in unconditional image generation.<\/p>\n<ul>\n<li><strong>Denoising diffusion<\/strong> models display high-fidelity image generation.<\/li>\n<li><strong>Score-based<\/strong> models offer strong sample diversity and faithful mode coverage.<\/li>\n<li><strong>BigBiGAN<\/strong> models consistently achieve state-of-the-art results.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"What_Is_Unconditional_Generation\"><\/span>What Is Unconditional Generation&#063;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>Unconditional generation<\/strong> involves training models to produce diverse&#044; photorealistic images without input&#044; leveraging random noise and enhancing data augmentation for various fields.<\/li>\n<li>This approach optimizes performance through effective model training and noise reduction strategies.<\/li>\n<li><strong>Unconditional image generation<\/strong> models find applications in artistic expression&#044; data augmentation&#044; virtual reality&#044; medical imaging&#044; and industrial design&#044; further expanding their creative and practical potential.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"What_Is_Conditional_Image_Generation\"><\/span>What Is Conditional Image Generation&#063;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>Conditional Image Generation<\/strong>&#058; Generating images based on specific conditions&#044; such as facial recognition and image manipulation&#044; using data augmentation and style transfer.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Key_Takeaways-2\"><\/span>Key Takeaways&#058;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>Facial recognition<\/strong>&#058; Utilized for generating images with specified facial features.<\/li>\n<li><strong>Image manipulation<\/strong>&#058; Techniques used for alteration and control of image content.<\/li>\n<li><strong>Data augmentation<\/strong>&#058; Methods like style transfer enhance image diversity.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"What_Is_Text_to_Image_Generation\"><\/span>What Is Text to Image Generation&#063;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>Text-to-Image Generation<\/strong><\/p>\n<p><strong>Key Takeaways&#058;<\/strong><\/p>\n<ul>\n<li><strong>Ideal for Data Augmentation<\/strong>&#058; Text-to-image generation can enhance and optimize datasets for various industries.<\/li>\n<li><strong>Artistic Control<\/strong>&#058; This technology provides remarkable photorealistic visual representations.<\/li>\n<li><strong>Language Understanding<\/strong>&#058; It leverages advanced language understanding to produce visual representations.<\/li>\n<\/ul>\n<p><strong>Modified Text&#058;<\/strong><\/p>\n<p>Text-to-image generation involves <strong>image synthesis<\/strong> from textual descriptions&#044; producing <strong>photorealistic<\/strong> visual representations with <strong>artistic control<\/strong>&#044; applicable for data augmentation and various industries.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Unconditional image models have made significant strides in generating photorealistic faces. Photorealistic faces are reliably produced by refining random noise vectors through sequential transformations and progressively learned mappings. This technology offers diverse applications across various domains&#044; particularly in areas like artistic expression&#044; data augmentation&#044; and virtual reality. Key Takeaways Photorealistic Face Generation with Unconditional Image<\/p>\n","protected":false},"author":2,"featured_media":23639,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[450],"tags":[],"class_list":{"0":"post-23640","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-ai-art-creators"},"_links":{"self":[{"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/posts\/23640","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/comments?post=23640"}],"version-history":[{"count":6,"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/posts\/23640\/revisions"}],"predecessor-version":[{"id":30246,"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/posts\/23640\/revisions\/30246"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/media\/23639"}],"wp:attachment":[{"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/media?parent=23640"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/categories?post=23640"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/tags?post=23640"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}