{"id":65,"date":"2026-05-18T12:37:29","date_gmt":"2026-05-18T12:37:29","guid":{"rendered":"https:\/\/convly.ai\/midjourney-vs-dalle-vs-stable-diffusion\/"},"modified":"2026-06-10T05:06:03","modified_gmt":"2026-06-10T05:06:03","slug":"midjourney-vs-dalle-vs-stable-diffusion","status":"publish","type":"post","link":"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/","title":{"rendered":"Midjourney vs DALL-E vs Stable Diffusion: la battaglia tra modelli di generazione di immagini AI nel 2026"},"content":{"rendered":"<p>Midjourney, DALL-E, and Stable Diffusion are the three names everyone knows in AI image generation \u2014 and they represent three genuinely different philosophies. Midjourney is the curated artist. DALL-E is the obedient assistant. Stable Diffusion is the open toolkit you can take apart and rebuild. Picking between them isn&#8217;t about which is &#8220;best&#8221; \u2014 it&#8217;s about which philosophy fits how you work.<\/p>\n<p>We tested all three on identical prompts to make the differences concrete.<\/p>\n<div class=\"convly-tldr\">\n<h3>Punti chiave<\/h3>\n<ul>\n<li><strong>Midjourney<\/strong> \u2014 best image quality and aesthetics; a subscription-only curated experience.<\/li>\n<li><strong>DALL-E<\/strong> \u2014 now delivered through GPT-4o in ChatGPT; best at following precise prompts and editing in conversation.<\/li>\n<li><strong>Stable Diffusion<\/strong> \u2014 open and free to self-host; total control, unlimited generation, steeper learning curve.<\/li>\n<li><strong>Quick pick:<\/strong> Midjourney for beauty, DALL-E\/GPT-4o for accuracy, Stable Diffusion for control and cost.<\/li>\n<\/ul>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-flat ez-toc-counter ez-toc-container-direction\">\n<label for=\"ez-toc-cssicon-toggle-item-6a38ba68d6e62\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Attiva\/Disattiva<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #000000;color:#000000\" 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: #000000;color:#000000\" 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><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a38ba68d6e62\"  aria-label=\"Attiva\/Disattiva\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/#A_quick_note_on_what_these_tools_are_now\" >A quick note on what these tools are now<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/#Round_1_Image_quality\" >Round 1: Image quality<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/#Round_2_Prompt_accuracy\" >Round 2: Prompt accuracy<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/#Round_3_Editing_and_control\" >Round 3: Editing and control<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/#Round_4_Cost_and_access\" >Round 4: Cost and access<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/#Round_5_Commercial_licensing\" >Round 5: Commercial licensing<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/#Side-by-side_comparison\" >Side-by-side comparison<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/#Which_one_should_you_choose\" >Which one should you choose?<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/#Which_tool_wins_for_your_actual_job\" >Which tool wins for your actual job<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/#FAQ\" >Domande frequenti<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/#Bottom_line\" >Conclusione<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/convly.ai\/it\/midjourney-vs-dalle-vs-stable-diffusion\/#Related_articles\" >Articoli correlati<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"A_quick_note_on_what_these_tools_are_now\"><\/span>A quick note on what these tools are now<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The names have stayed the same, but the products have moved:<\/p>\n<ul>\n<li><strong>Midjourney<\/strong> is still its own dedicated image service, accessed via web and Discord, subscription only.<\/li>\n<li><strong>DALL-E<\/strong> as a standalone product has effectively been absorbed into <strong>GPT-4o&#8217;s native image generation<\/strong> inside ChatGPT. When people say &#8220;DALL-E&#8221; in 2026, they usually mean OpenAI&#8217;s image generation experience in ChatGPT.<\/li>\n<li><strong>Stable Diffusion<\/strong> continues as the open-weight family (latest releases in the SD 3.5 line), and the broader open ecosystem now also includes <strong>FLUX<\/strong>, which many consider the new open-model leader. We treat &#8220;Stable Diffusion&#8221; here as shorthand for the open, self-hostable approach.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Round_1_Image_quality\"><\/span>Round 1: Image quality<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><strong>Midjourney wins.<\/strong> Its output has a refined, intentional look \u2014 lighting, composition, and color that feel art-directed rather than generated. Even weak prompts tend to produce striking images.<\/p>\n<p><strong>DALL-E\/GPT-4o<\/strong> produces excellent, clean, realistic images, but with a slightly more &#8220;default&#8221; aesthetic \u2014 less distinctive style out of the box.<\/p>\n<p><strong>Stable Diffusion<\/strong> can match or exceed both \u2014 but only with the right model checkpoint, settings, and effort. Out of the box it&#8217;s the weakest; fully tuned it&#8217;s astonishing. Quality is a function of your skill.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Round_2_Prompt_accuracy\"><\/span>Round 2: Prompt accuracy<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><strong>DALL-E\/GPT-4o wins, decisively.<\/strong> It understands long, complex, detailed instructions \u2014 object counts, spatial relationships, specific text \u2014 far better than the others. If your prompt is a precise spec, this is the tool that respects it.<\/p>\n<p><strong>Midjourney<\/strong> interprets prompts more loosely; it optimizes for a beautiful result over a literal one. <strong>Stable Diffusion<\/strong> sits in between and depends heavily on the model and prompt technique you use.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Round_3_Editing_and_control\"><\/span>Round 3: Editing and control<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><strong>Stable Diffusion wins on raw control.<\/strong> Inpainting, outpainting, ControlNet-style guidance, LoRA fine-tunes, exact seeds \u2014 nothing else gives you this much precision, and it&#8217;s all free once set up.<\/p>\n<p><strong>DALL-E\/GPT-4o wins on <em>ease<\/em> of editing.<\/strong> Conversational revision \u2014 &#8220;remove the background, make it night, add a hat&#8221; \u2014 is effortless and needs no technical knowledge.<\/p>\n<p><strong>Midjourney<\/strong> has solid built-in editing (region edits, variations, style references) but isn&#8217;t as deep as Stable Diffusion or as frictionless as GPT-4o.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Round_4_Cost_and_access\"><\/span>Round 4: Cost and access<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><strong>Stable Diffusion wins.<\/strong> The models are free; run them on your own GPU and generation costs nothing per image, with full privacy. The cost is hardware and setup time.<\/p>\n<p><strong>Midjourney<\/strong> is subscription-only \u2014 no free tier \u2014 starting around $10\/month.<\/p>\n<p><strong>DALL-E\/GPT-4o<\/strong> is included with a ChatGPT subscription (around $20\/month), with limited image generation available on the free tier.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Round_5_Commercial_licensing\"><\/span>Round 5: Commercial licensing<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>All three allow commercial use under their paid or open terms, but the cleanest story is nuanced. Midjourney and OpenAI grant commercial rights on paid plans. Stable Diffusion&#8217;s open licenses are permissive but vary by model version \u2014 check each one. None of the three is as licensing-safe as Adobe Firefly, which is trained specifically on licensed data; if licensing certainty is critical, that&#8217;s the tool to add.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Side-by-side_comparison\"><\/span>Side-by-side comparison<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Factor<\/th>\n<th>Midjourney<\/th>\n<th>DALL-E \/ GPT-4o<\/th>\n<th>Stable Diffusion<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Image quality<\/td>\n<td>Eccellente<\/td>\n<td>Very good<\/td>\n<td>Varies (great when tuned)<\/td>\n<\/tr>\n<tr>\n<td>Prompt accuracy<\/td>\n<td>Buono<\/td>\n<td>Eccellente<\/td>\n<td>Buono<\/td>\n<\/tr>\n<tr>\n<td>Editing control<\/td>\n<td>Buono<\/td>\n<td>Easy &amp; conversational<\/td>\n<td>Deepest (technical)<\/td>\n<\/tr>\n<tr>\n<td>Ease of use<\/td>\n<td>Easy<\/td>\n<td>Easiest<\/td>\n<td>Hardest<\/td>\n<\/tr>\n<tr>\n<td>Costo<\/td>\n<td>~$10+\/mo<\/td>\n<td>ChatGPT sub<\/td>\n<td>Free (self-hosted)<\/td>\n<\/tr>\n<tr>\n<td>Runs offline<\/td>\n<td>No<\/td>\n<td>No<\/td>\n<td>S\u00ec<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"Which_one_should_you_choose\"><\/span>Which one should you choose?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>Choose Midjourney<\/strong> if you want the most beautiful images with the least effort, and image quality is the priority. Ideal for artists, designers, and marketers.<\/li>\n<li><strong>Choose DALL-E \/ GPT-4o<\/strong> if you need images that match precise instructions and you want to edit conversationally. Ideal for everyday users, content creators, and anyone who already pays for ChatGPT.<\/li>\n<li><strong>Choose Stable Diffusion<\/strong> if you want unlimited free generation, total control, offline and private use, or you&#8217;re building image AI into a product. Ideal for developers, power users, and the budget-conscious.<\/li>\n<\/ul>\n<p>There&#8217;s no shame in using more than one. A common 2026 setup is Midjourney for hero images, GPT-4o for quick precise edits, and Stable Diffusion or FLUX locally for bulk and experimentation.<\/p>\n<p><!--ai-enriched--><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Which_tool_wins_for_your_actual_job\"><\/span>Which tool wins for your actual job<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The &#8220;best&#8221; generator depends almost entirely on what you are making. Picking a winner in the abstract is the most common way people waste a subscription. Map the tool to the task instead, because each one has a job it does better than the other two.<\/p>\n<table class=\"convly-vs\">\n<tr>\n<th>Your job<\/th>\n<th>Best pick<\/th>\n<th>Why<\/th>\n<\/tr>\n<tr>\n<td>Posters, ads, packaging, anything with <strong>readable words<\/strong><\/td>\n<td>DALL-E \/ GPT Image<\/td>\n<td>It renders legible captions and short phrases reliably; Midjourney still garbles text into letter-shaped noise.<\/td>\n<\/tr>\n<tr>\n<td>Concept art, moodboards, stylised illustration<\/td>\n<td>Midjourney<\/td>\n<td>The most opinionated, polished default aesthetic. It makes &#8220;good-looking&#8221; images with the least effort.<\/td>\n<\/tr>\n<tr>\n<td>Photoreal product and accurate brand shots<\/td>\n<td>Stable Diffusion \/ Flux<\/td>\n<td>Flux 2 Pro leads on photorealism and won&#8217;t &#8220;beautify&#8221; your product into something that no longer matches the real item.<\/td>\n<\/tr>\n<tr>\n<td>Recurring characters across many images<\/td>\n<td>Midjourney<\/td>\n<td>Omni Reference (and the older Character Reference) keep a face consistent with one reference image.<\/td>\n<\/tr>\n<tr>\n<td>Batch generation, automation, custom pipelines<\/td>\n<td>Stable Diffusion \/ Flux<\/td>\n<td>The only option you can script, self-host, and run at scale; Midjourney has no general-purpose public API.<\/td>\n<\/tr>\n<tr>\n<td>Uncensored or sensitive subjects, full local control<\/td>\n<td>Stable Diffusion \/ Flux<\/td>\n<td>Runs on your own GPU with no content filter and no usage caps.<\/td>\n<\/tr>\n<\/table>\n<p>A few patterns fall out of this. If you are a <strong>marketer or social manager<\/strong> shipping graphics with text, GPT Image inside ChatGPT is the fastest route from idea to usable asset. If you are an <strong>artist or art director<\/strong> chasing a specific look, Midjourney&#8217;s taste does more of the work for you. If you are an <strong>engineer, e-commerce seller, or anyone generating hundreds of images<\/strong>, Stable Diffusion or Flux through a tool like ComfyUI is the only one that bends to a repeatable workflow.<\/p>\n<p>You are also not forced to commit to one. A realistic stack is Midjourney for hero visuals, GPT Image for anything that needs words baked in, and a local Flux setup for bulk, photoreal, or controlled output. The subscriptions are cheap enough that running two in parallel often beats forcing one tool to do a job it is bad at.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"FAQ\"><\/span>Domande frequenti<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>Which is better, Midjourney or DALL-E?<\/h3>\n<p>Midjourney produces more beautiful, artistically refined images. DALL-E (via GPT-4o) follows precise prompts more accurately and is far easier to edit conversationally. Choose Midjourney for quality and aesthetics; choose DALL-E for accuracy and editing.<\/p>\n<h3>Is Stable Diffusion free?<\/h3>\n<p>Yes. Stable Diffusion&#8217;s model weights are open and free to download. If you run them on your own hardware, generation costs nothing per image and stays completely private. You can also use hosted services that run it for a fee. The trade-off is a steeper setup and learning curve.<\/p>\n<h3>Is DALL-E still a separate product?<\/h3>\n<p>Not really. OpenAI&#8217;s image generation now runs as a native capability of GPT-4o inside ChatGPT. When people say &#8220;DALL-E&#8221; in 2026 they generally mean OpenAI&#8217;s image generation in ChatGPT, which is more capable than the old standalone DALL-E.<\/p>\n<h3>Which is best for beginners?<\/h3>\n<p>DALL-E \/ GPT-4o, because it works through a normal chat conversation with no technical setup. Midjourney is also beginner-friendly. Stable Diffusion has the steepest learning curve and is best approached after you&#8217;re comfortable with the concepts.<\/p>\n<h3>Which has the best image quality?<\/h3>\n<p>Midjourney has the best out-of-the-box quality and aesthetics. Stable Diffusion can match or surpass it, but only with the right model and careful tuning \u2014 its quality depends on the user&#8217;s skill, while Midjourney&#8217;s is consistently high by default.<\/p>\n<h3>Which tool is best for putting readable text in an image?<\/h3>\n<p>DALL-E (now GPT Image, the engine inside ChatGPT) is the clear winner for legible text. It reliably renders short phrases, labels, and signs that read correctly, which makes it the practical choice for posters, ads, and packaging mockups. Midjourney has improved but still mangles longer words into letter-shaped noise, so it is a poor fit whenever the wording has to be accurate. If text quality is your single most important factor, Ideogram is also worth testing alongside GPT Image.<\/p>\n<h3>Can I use Midjourney, DALL-E and Stable Diffusion together?<\/h3>\n<p>Yes, and many professionals do exactly that. A common workflow is generating a striking base image in Midjourney, adding accurate text or specific edits with GPT Image, then using Stable Diffusion or Flux locally for batch variations, upscaling, or fine-grained control with tools like ControlNet. The tools do not lock you in, and since the subscriptions are inexpensive, combining their strengths usually produces better results than forcing one model to do everything.<\/p>\n<h3>Which is best for product and e-commerce photography?<\/h3>\n<p>Stable Diffusion with Flux 2 Pro is the strongest option when accuracy matters. It produces photorealistic results that stay faithful to the real product, whereas Midjourney&#8217;s aesthetic instincts can subtly restyle an item into something that no longer matches what you are selling. The trade-off is setup effort: a local Flux pipeline in ComfyUI takes more technical work than typing a prompt into Midjourney, but for catalog and listing images where the product must look exactly right, that control is worth it.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>Conclusione<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Midjourney, DALL-E, and Stable Diffusion aren&#8217;t really competing for the same crown \u2014 they&#8217;re built for different people. <strong>Midjourney<\/strong> is for those who want beauty with minimal effort. <strong>DALL-E\/GPT-4o<\/strong> is for those who want precision and easy editing. <strong>Stable Diffusion<\/strong> is for those who want control, privacy, and zero per-image cost.<\/p>\n<p>If you can only pick one, let your priority decide: quality points to Midjourney, accuracy and convenience to DALL-E, and freedom and cost to Stable Diffusion. None of them is wrong \u2014 they&#8217;re just answers to different questions.<\/p>\n<p><!--related-block--><\/p>\n<div class=\"convly-related\">\n<h2><span class=\"ez-toc-section\" id=\"Related_articles\"><\/span>Articoli correlati<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><a href=\"https:\/\/convly.ai\/it\/veo-3-vs-kling-3-for-ai-video-2026\/\">Veo 3.1 vs Kling 3.0 per i video AI nel 2026: quale offre maggiore realismo?<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/it\/best-cloud-gpu-providers-for-ai-2026\/\">I migliori provider di GPU cloud per l'IA nel 2026: RunPod, Lambda, Vast, Together, Replicate<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/it\/ai-translation-tools-compared\/\">The Best AI Translation Tools in 2026: DeepL vs Google vs ChatGPT<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/it\/ai-music-generators-suno-vs-udio\/\">AI Music Generators in 2026: Suno vs Udio (Hands-On Review)<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>The three biggest names in AI image generation, compared head-to-head. We tested Midjourney, DALL-E, and Stable Diffusion on the same prompts to settle which one you should actually use.<\/p>","protected":false},"author":0,"featured_media":66,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[5],"tags":[398,397,399,396,351],"class_list":["post-65","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-tools","tag-ai-image-generation","tag-dall-e","tag-midjourney-comparison","tag-midjourney-vs-dalle","tag-stable-diffusion"],"_links":{"self":[{"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/posts\/65","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/comments?post=65"}],"version-history":[{"count":3,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/posts\/65\/revisions"}],"predecessor-version":[{"id":1039,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/posts\/65\/revisions\/1039"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/media\/66"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/media?parent=65"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/categories?post=65"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/tags?post=65"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}