{"id":23572,"date":"2024-10-04T09:53:31","date_gmt":"2024-10-04T09:53:31","guid":{"rendered":"https:\/\/www.ipic.ai\/blogs\/?p=23572"},"modified":"2024-12-23T18:51:18","modified_gmt":"2024-12-23T18:51:18","slug":"tutorial-on-deep-learning-for-image-generation-3","status":"publish","type":"post","link":"https:\/\/www.ipic.ai\/blogs\/tutorial-on-deep-learning-for-image-generation-3\/","title":{"rendered":"Learn to Generate Photorealistic Images With Deep Learning"},"content":{"rendered":"<p>To generate <strong>photorealistic images<\/strong> using <strong>deep learning<\/strong>&#044; build and train diffuser models leveraging tools like <strong>PyTorch and PyTorch Lightning<\/strong>. This involves architecture&#044; training datasets&#044; and evaluating performance.<\/p>\n<p>Access to diverse datasets like those provided by ApertureDB is crucial for successful photorealism.<\/p>\n<p>For more accessible implementations&#044; the <strong><a href=\"https:\/\/www.ipic.ai\/blogs\/beginners-guide-stable-diffusion-webui-automatic1111\/\"  data-wpil-monitor-id=\"11653\">Stable Diffusion<\/a> Web UI<\/strong> offers an intuitive interface for generating detailed images.<\/p>\n<p>After generating images&#044; refine them using <strong>image-to-image translation<\/strong>&#044; style transfer&#044; and targeted adjustments.<\/p>\n<p>The future of AI-generated photorealistic images holds immense potential for creative innovation and problem-solving.<\/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\/tutorial-on-deep-learning-for-image-generation-3\/#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\/tutorial-on-deep-learning-for-image-generation-3\/#Building_and_Training_Diffuser_Models\" title=\"Building and Training Diffuser Models\">Building and Training Diffuser Models<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.ipic.ai\/blogs\/tutorial-on-deep-learning-for-image-generation-3\/#The_Essentials_of_Diffuser_Model_Development\" title=\"The Essentials of Diffuser Model Development\">The Essentials of Diffuser Model Development<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.ipic.ai\/blogs\/tutorial-on-deep-learning-for-image-generation-3\/#Data_and_Computational_Resources\" title=\"Data and Computational Resources\">Data and Computational Resources<\/a><\/li><\/ul><\/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\/tutorial-on-deep-learning-for-image-generation-3\/#Stable_Diffusion_Web_UI_Usage\" title=\"Stable Diffusion Web UI Usage\">Stable Diffusion Web UI Usage<\/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\/tutorial-on-deep-learning-for-image-generation-3\/#Generating_Photorealistic_Images_With_AI\" title=\"Generating Photorealistic Images With AI\">Generating Photorealistic Images With AI<\/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\/tutorial-on-deep-learning-for-image-generation-3\/#Post-Processing_AI_Images_for_Realism\" title=\"Post-Processing AI Images for Realism\">Post-Processing AI Images for Realism<\/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\/tutorial-on-deep-learning-for-image-generation-3\/#Future_Applications_of_AI_Image_Generators\" title=\"Future Applications of AI Image Generators\">Future Applications of AI Image Generators<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.ipic.ai\/blogs\/tutorial-on-deep-learning-for-image-generation-3\/#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-10\" href=\"https:\/\/www.ipic.ai\/blogs\/tutorial-on-deep-learning-for-image-generation-3\/#Which_AI_Generates_Realistic_Images\" title=\"Which AI Generates Realistic Images&#063;\">Which AI Generates Realistic Images&#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\/tutorial-on-deep-learning-for-image-generation-3\/#How_to_Learn_AI_Image_Generator\" title=\"How to Learn AI Image Generator&#063;\">How to Learn AI Image Generator&#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\/tutorial-on-deep-learning-for-image-generation-3\/#Can_Chatgpt_Generate_Images\" title=\"Can Chatgpt Generate Images&#063;\">Can Chatgpt Generate Images&#063;<\/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\/tutorial-on-deep-learning-for-image-generation-3\/#Is_Chatgpt_Machine_Learning_or_Deep_Learning\" title=\"Is Chatgpt Machine Learning or Deep Learning&#063;\">Is Chatgpt Machine Learning or Deep Learning&#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>To create photorealistic images using deep learning&#058;<\/p>\n<ul>\n<li><strong>Train Models with PyTorch<\/strong>&#058; Learn PyTorch to define and train <a href=\"https:\/\/www.ipic.ai\/blogs\/ai-image-generator-tools\/\"  data-wpil-monitor-id=\"11864\">image generation<\/a> models.<\/li>\n<li><strong>Simplify Image Generation<\/strong>&#058; Utilize intuitive interfaces like <a href=\"https:\/\/www.ipic.ai\/blogs\/run-stable-diffusion-on-google-colab-automatic1111\/\"  data-wpil-monitor-id=\"11701\">Stable Diffusion<\/a> Web UI for image creation.<\/li>\n<li><strong>Transform Text to Images<\/strong>&#058; Use powerful models like <a href=\"https:\/\/www.ipic.ai\/blogs\/comfyui-install-and-usage-guide-stable-diffusion\/\"  data-wpil-monitor-id=\"11755\">Stable Diffusion<\/a> to generate detailed photorealistic images from text prompts.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Building_and_Training_Diffuser_Models\"><\/span>Building and Training Diffuser Models<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><strong>Building and Training Diffuser Models<\/strong><\/p>\n<h3><span class=\"ez-toc-section\" id=\"The_Essentials_of_Diffuser_Model_Development\"><\/span><strong>The Essentials of Diffuser Model Development<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Building a diffuser model from scratch requires a profound understanding of PyTorch and deep learning fundamentals.<\/p>\n<p>This involves meticulously defining and training the model&#044; making predictions&#044; and rigorously evaluating its performance.<\/p>\n<p>Tools such as PyTorch Lightning can significantly streamline this process&#044; simplifying model development and minimizing computational overhead.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Data_and_Computational_Resources\"><\/span><strong>Data and Computational Resources<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Access to substantial and diverse datasets is crucial for model training and testing.<\/p>\n<p>Solutions like ApertureDB offer vast repositories of data tailored to support model development.<\/p>\n<p>The creation and training of diffuser models also demand significant computational resources.<\/p>\n<p>Robust hardware and infrastructure are essential to handle the demands of complex model architectures.<\/p>\n<p>Patience and attention to detail are paramount in this process&#044; as achieving superior results necessitates thorough experimentation&#044; hyperparameter tuning&#044; and meticulous evaluation.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Stable_Diffusion_Web_UI_Usage\"><\/span>Stable Diffusion Web UI Usage<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\/user_interface_for_models.jpg\" alt=\"user interface for models\" style=\"aspect-ratio: 16\/9\" title=\"- iPic.ai - Create Beautiful Ai Art or Ai Images For Free\"><\/div>\n<p>The <strong>Stable Diffusion Web UI<\/strong> offers an intuitive interface to <a href=\"https:\/\/www.ipic.ai\/blogs\/a-beginners-guide-stable-diffusion-models\/\"  data-wpil-monitor-id=\"11721\">generate photorealistic images<\/a> using advanced AI models without requiring extensive technical expertise.<\/p>\n<p>This user-friendly platform simplifies the <a href=\"https:\/\/www.ipic.ai\/blogs\/celebrity-ai-image-generator\/\"  data-wpil-monitor-id=\"12040\">image generation<\/a> process and provides customization options to fine-tune the model for specific tasks and applications.<\/p>\n<p>Forever conducive for creative professionals and developers&#044; this powerful tool enables the generation of detailed&#044; photorealistic images&#044; potentially revolutionizing the field of <a href=\"https:\/\/www.ipic.ai\/blogs\/ai-image-generator-with-no-filter\/\"  data-wpil-monitor-id=\"12158\">AI image generators<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Generating_Photorealistic_Images_With_AI\"><\/span>Generating Photorealistic Images With AI<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\/ai_creates_real_images.jpg\" alt=\"ai creates real images\" style=\"aspect-ratio: 16\/9\" title=\"- iPic.ai - Create Beautiful Ai Art or Ai Images For Free\"><\/div>\n<p>Powerful deep learning models&#044; such as <strong>Stable Diffusion<\/strong>&#044; are revolutionizing various industries by generating photorealistic images from textual descriptions. This model provides a versatile toolset for both beginners and advanced users.<\/p>\n<p>Online interfaces like <strong>Stable Diffusion Web UI<\/strong> make the model accessible by offering an intuitive platform for users to customize <a href=\"https:\/\/www.ipic.ai\/blogs\/chat-gpt-image-generator\/\"  data-wpil-monitor-id=\"12531\">image generation<\/a> without requiring extensive modeling knowledge. Local implementations using Python necessitate substantial computational resources and dependency installations.<\/p>\n<p><strong>PyTorch Lightning<\/strong> and <strong>ApertureDB<\/strong> simplify the process of building and training diffuser models for more advanced use cases. Deep learning expertise is key to defining the model architecture&#044; training it on datasets&#044; and evaluating performance.<\/p>\n<p>The rapid growth of generative AI guarantees continuous innovation and new model development&#044; holding immense potential for creative innovation and problem-solving. Combining <a href=\"https:\/\/www.ipic.ai\/blogs\/how-to-use-stable-diffusion\/\"  data-wpil-monitor-id=\"13068\">Stable Diffusion<\/a> with other technologies is poised to dramatically impact various industries.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Post-Processing_AI_Images_for_Realism\"><\/span>Post-Processing AI Images for Realism<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\/enhancing_artificial_visual_output.jpg\" alt=\"enhancing artificial visual output\" style=\"aspect-ratio: 16\/9\" title=\"- iPic.ai - Create Beautiful Ai Art or Ai Images For Free\"><\/div>\n<p>To achieve photorealism in AI-generated images&#044; several post-processing techniques can be employed to maximize realism and avoid over-processing.<\/p>\n<p><strong>Image-to-image translation<\/strong> and <strong>style transfer<\/strong> can significantly enhance the photorealism of these images&#044; and targeted applications of these methods are crucial to maintain image quality.<\/p>\n<p>Cropping and reframing the image to improve composition and upsampling to high definition can contribute to a more vivid and realistic output.<\/p>\n<p><strong>Color adjustments<\/strong> and <strong>human input<\/strong> are also vital components in ensuring the image meets the desired level of photorealism.<\/p>\n<p>Providing detailed <strong>photographic terms<\/strong> as context helps guide the AI&#039;s output&#044; resulting in images that appear more grounded in reality.<\/p>\n<p><strong>Accurate evaluation<\/strong> and fine-tuning by humans are essential steps in post-processing to guarantee that the generated image meets the desired level of photorealism.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Future_Applications_of_AI_Image_Generators\"><\/span>Future Applications of AI Image Generators<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\/ai_creates_visual_content.jpg\" alt=\"ai creates visual content\" style=\"aspect-ratio: 16\/9\" title=\"- iPic.ai - Create Beautiful Ai Art or Ai Images For Free\"><\/div>\n<p>The applications of <strong>AI-generated<\/strong> photorealistic images promise to revolutionize a wide range of industries and art forms by empowering the <strong>creation of unprecedentedly<\/strong> realistic digital content.<\/p>\n<p><strong>Future<\/strong> applications of <strong><a href=\"https:\/\/www.ipic.ai\/blogs\/free-ai-image-api\/\"  data-wpil-monitor-id=\"13227\">AI image<\/a> generators<\/strong> will include generating <strong>images for lifelike simulations<\/strong>&#044; <strong>personalized avatars<\/strong>&#044; and <strong>digital art<\/strong>&#044; further blurring the line between <strong>AI-generated and human-created content<\/strong>.<\/p>\n<p>The potential implications of these technological advancements are vast&#044; with <strong>AI-generated images<\/strong> potentially surpassing <strong>human capabilities<\/strong> in photorealism. This prospect raises questions about the <strong>future role of human artists<\/strong> in these industries and the need to address <strong>ethical and legal considerations<\/strong> arising from <strong>AI-generated content<\/strong>.<\/p>\n<p>As <strong>AI image generators<\/strong> continue to advance&#044; they will enable the <strong>creation of interactive and immersive experiences<\/strong>&#044; including <strong>virtual and augmented reality environments<\/strong>&#044; transforming industries such as <strong>film<\/strong>&#044; <strong>video games<\/strong>&#044; and <strong>advertising<\/strong>.<\/p>\n<p>With these possibilities&#044; it is vital that <strong>AI-generated images<\/strong> are developed and used responsibly&#044; ensuring <strong>transparency and accountability<\/strong>.<\/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_AI_Generates_Realistic_Images\"><\/span>Which AI Generates Realistic Images&#063;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Three AI models excel in generating photorealistic images from text prompts&#058;<\/p>\n<ul>\n<li><strong>DALL-E<\/strong> resolves text prompts with high-quality photorealism.<\/li>\n<li><strong>Midjourney<\/strong> produces detailed images with nuanced parameters.<\/li>\n<li><strong>Stable Diffusion<\/strong> captures detailed contexts from text inputs.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"How_to_Learn_AI_Image_Generator\"><\/span>How to Learn AI Image Generator&#063;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ol>\n<li><strong>Mastering AI Image Generation&#058;<\/strong><\/li>\n<\/ol>\n<ul>\n<li><strong>Learn Deep Learning Basics<\/strong>&#058; Master deep learning fundamentals for AI image generation.<\/li>\n<li><strong>Practice on AI Platforms<\/strong>&#058; Refine prompts and customize output using platforms like <strong>Disco AI<\/strong> and <strong>NightCafe<\/strong>.<\/li>\n<li><strong>Optimize Quality Metrics<\/strong>&#058; Explore image datasets&#044; model architectures&#044; and training techniques to optimize quality metrics.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Can_Chatgpt_Generate_Images\"><\/span>Can Chatgpt Generate Images&#063;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>ChatGPT Image Generation<\/strong><\/p>\n<p>ChatGPT cannot directly generate images&#044; but it <strong>leverages<\/strong> DALL-E to create text prompts for image synthesis&#044; <strong>achieving<\/strong> photorealistic results through AI models and creative tools.<\/p>\n<ul>\n<li><strong>DALL-E<\/strong> synthesizes images from text prompts.<\/li>\n<li><strong>Photorealistic<\/strong> results are produced through AI vision models.<\/li>\n<li><strong>Creative agents<\/strong> are used to enhance image generation.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Is_Chatgpt_Machine_Learning_or_Deep_Learning\"><\/span>Is Chatgpt Machine Learning or Deep Learning&#063;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>ChatGPT<\/strong> combines supervised and reinforcement learning techniques to generate human-like text responses.<\/li>\n<li><strong>Deep learning<\/strong> is employed to train the transformer architecture&#044; enabling the model to understand and produce context-sensitive text.<\/li>\n<li><strong>Transformer<\/strong> architecture plays a crucial role in facilitating parallel processing and handling sequential data&#044; enhancing the model&#039;s capabilities in natural language processing.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>To generate photorealistic images using deep learning&#044; build and train diffuser models leveraging tools like PyTorch and PyTorch Lightning. This involves architecture&#044; training datasets&#044; and evaluating performance. Access to diverse datasets like those provided by ApertureDB is crucial for successful photorealism. For more accessible implementations&#044; the Stable Diffusion Web UI offers an intuitive interface for<\/p>\n","protected":false},"author":2,"featured_media":23571,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[449],"tags":[],"class_list":{"0":"post-23572","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-deep-learning-art-creators"},"_links":{"self":[{"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/posts\/23572","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=23572"}],"version-history":[{"count":12,"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/posts\/23572\/revisions"}],"predecessor-version":[{"id":30894,"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/posts\/23572\/revisions\/30894"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/media\/23571"}],"wp:attachment":[{"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/media?parent=23572"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/categories?post=23572"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ipic.ai\/blogs\/wp-json\/wp\/v2\/tags?post=23572"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}