{"id":9853,"date":"2026-01-30T05:03:24","date_gmt":"2026-01-30T05:03:24","guid":{"rendered":"https:\/\/resources.sozee.ai\/resources\/ai-character-creator-midjourney-alternatives\/"},"modified":"2026-08-08T11:51:04","modified_gmt":"2026-08-08T11:51:04","slug":"ai-character-creator-midjourney-alternatives","status":"publish","type":"post","link":"https:\/\/www.sozee.ai\/resources\/ai-character-creator-midjourney-alternatives\/","title":{"rendered":"Best AI Character Creator Alternatives to Midjourney in 2026"},"content":{"rendered":"<p><em>Last updated: July 19, 2026<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>Inconsistent character output in Midjourney causes lost brand deals and stalled revenue for creators in 2026.<\/li>\n<li>Creators should evaluate AI character tools on six monetization criteria: likeness consistency, speed, no-training friction, reusable assets, SFW-to-NSFW control, and native scheduling.<\/li>\n<li>Inference-time identity locking without training has become the dominant 2026 method for closing the consistency gap versus trained models.<\/li>\n<li>Sozee combines all six criteria in one platform, while alternatives rely on third-party tools to complete full workflows.<\/li>\n<li><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\">Start creating consistent characters now with Sozee on a free plan.<\/a><\/li>\n<\/ul>\n<h2>Best AI for Consistent Characters: Head-to-Head Comparison<\/h2>\n<p>This comparison highlights a core gap in 2026 tools: many claim \u201cconsistency,\u201d but few support a full, monetizable workflow in one place. The table shows which platforms force creators into external schedulers, asset managers, and analytics tools, which slows daily output and complicates brand work. Every data point reflects published platform capabilities and independent testing cited inline.<\/p>\n<table>\n<thead>\n<tr>\n<th>Tool<\/th>\n<th>Best Creator Type<\/th>\n<th>Consistency Method<\/th>\n<th>Training Required<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Sozee<\/td>\n<td>Agency roster, virtual influencer builder, micro-influencer, worldbuilder<\/td>\n<td>Inference-time likeness lock via Photo Control, no LoRA<\/td>\n<td>None, 3 photos or character builder<\/td>\n<\/tr>\n<tr>\n<td>Leonardo.ai<\/td>\n<td>Game asset creator, solo creator<\/td>\n<td><a href=\"https:\/\/listicler.com\/best\/best-ai-tools-consistent-character-design\" target=\"_blank\" rel=\"noindex nofollow\">Character Reference extracts identity tokens from uploaded images, layerable with Content and Style Reference<\/a><\/td>\n<td>Optional LoRA, <a href=\"https:\/\/aidemos.com\/best\/consistent-ai-characters\" target=\"_blank\" rel=\"noindex nofollow\">identity preservation scored 2\/5 in independent testing due to face drift<\/a><\/td>\n<\/tr>\n<tr>\n<td>Midjourney v7\/v8<\/td>\n<td>Fantasy\/editorial artist<\/td>\n<td><a href=\"https:\/\/yingtu.ai\/en\/blog\/consistent-character-generator\" target=\"_blank\" rel=\"noindex nofollow\">Omni Reference replaces &#8211;cref with adjustable weight, intricate details may not match exactly and seeds are not reliable for character memory<\/a><\/td>\n<td>None, but <a href=\"https:\/\/programminginsider.com\/ai-character-consistency-how-new-tools-are-solving-the-biggest-problem-in-ai-image-generation\" target=\"_blank\" rel=\"noindex nofollow\">drift begins after 3\u20135 shots<\/a><\/td>\n<\/tr>\n<tr>\n<td>Stable Diffusion (FLUX.2)<\/td>\n<td>Technical worldbuilder, game developer<\/td>\n<td><a href=\"https:\/\/oakgen.ai\/blog\/ai-character-consistency-guide\" target=\"_blank\" rel=\"noindex nofollow\">FLUX.2 supports up to 10 simultaneous reference images, IP-Adapter and ControlNet for pose<\/a><\/td>\n<td><a href=\"https:\/\/oakgen.ai\/blog\/ai-character-consistency-guide\" target=\"_blank\" rel=\"noindex nofollow\">LoRA on 15\u201330 images for maximum precision, no built-in one-click UI<\/a><\/td>\n<\/tr>\n<tr>\n<td>Ideogram<\/td>\n<td>Text-heavy brand creator<\/td>\n<td><a href=\"https:\/\/listicler.com\/best\/best-ai-tools-consistent-character-design\" target=\"_blank\" rel=\"noindex nofollow\">Free character reference with interactive character mask, combined with accurate text rendering<\/a><\/td>\n<td>None, <a href=\"https:\/\/yingtu.ai\/en\/blog\/consistent-character-generator\" target=\"_blank\" rel=\"noindex nofollow\">availability and commercial terms governed by current product plan<\/a><\/td>\n<\/tr>\n<tr>\n<td>getimg.ai Elements<\/td>\n<td>Agency, multi-character campaign creator<\/td>\n<td><a href=\"https:\/\/getimg.ai\/blog\/how-to-create-consistent-characters-with-ai\" target=\"_blank\" rel=\"noindex nofollow\">Upload up to 20 photos, invoke via @CharacterName, persists across sessions and team members, 13 combinable subject types<\/a><\/td>\n<td>None, <a href=\"https:\/\/getimg.ai\/blog\/how-to-create-consistent-characters-with-ai\" target=\"_blank\" rel=\"noindex nofollow\">incurs no extra compute cost<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>None of the alternatives above deliver native scheduling, analytics, reusable environment libraries, SFW-to-NSFW pipeline control, and an agent-driven workflow inside a single platform. That gap defines Sozee\u2019s position in this market.<\/p>\n<h2>AI Character Creator Without Training: Consistency Methods Compared<\/h2>\n<p>The first comparison ranks tools by creator type and workflow coverage. This next table focuses on the technical methods behind consistency and how they affect production speed, training delays, and asset reuse. Here the real production ceiling for each platform becomes visible.<\/p>\n<p>The table below compares consistency approaches directly on the dimensions that determine production throughput for creators who cannot afford training delays.<\/p>\n<table>\n<thead>\n<tr>\n<th>Tool<\/th>\n<th>Consistency Approach<\/th>\n<th>Training Needed<\/th>\n<th>Reusable Assets &amp; Scheduling<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Sozee<\/td>\n<td>Inference-time likeness lock, Photo Control (Setting, Outfit, Shot style, Expression, Object), Photo Shoot builds up to 10 locked frames from one image<\/td>\n<td>None<\/td>\n<td>Saved environments, outfit library, object library, Vault, native Scheduler across Instagram, TikTok, X, Facebook, Reddit, Fanvue<\/td>\n<\/tr>\n<tr>\n<td>getimg.ai Elements<\/td>\n<td><a href=\"https:\/\/getimg.ai\/blog\/how-to-create-consistent-characters-with-ai\" target=\"_blank\" rel=\"noindex nofollow\">@CharacterName invocation, up to 20 reference photos, 13 subject types combinable in one prompt<\/a><\/td>\n<td>None<\/td>\n<td>No native scheduler or analytics, export required for publishing<\/td>\n<\/tr>\n<tr>\n<td>Midjourney v7<\/td>\n<td><a href=\"https:\/\/creativeainews.com\/articles\/ai-character-consistency-workflow-2026\" target=\"_blank\" rel=\"noindex nofollow\">Omni-Reference replaces &#8211;cref, costs roughly 2\u00d7 normal GPU time, strongest for stylized art and full-body framing<\/a><\/td>\n<td>None<\/td>\n<td>No reusable asset library, no scheduler, Discord-based workflow<\/td>\n<\/tr>\n<tr>\n<td>Leonardo.ai<\/td>\n<td><a href=\"https:\/\/listicler.com\/best\/best-ai-tools-consistent-character-design\" target=\"_blank\" rel=\"noindex nofollow\">Character Reference layered with Content Reference and Style Reference, up to 6 references on Omni models<\/a><\/td>\n<td>Optional LoRA<\/td>\n<td>No native scheduler, no reusable environment or outfit library<\/td>\n<\/tr>\n<tr>\n<td>FLUX.2 \/ Flux Kontext<\/td>\n<td><a href=\"https:\/\/oakgen.ai\/blog\/ai-character-consistency-guide\" target=\"_blank\" rel=\"noindex nofollow\">Multimodal flow matching, processes text and image simultaneously, up to 10 reference images<\/a><\/td>\n<td>Optional LoRA (15\u201330 images, 800\u20132000 steps)<\/td>\n<td>No native scheduler, no reusable library, ComfyUI required for advanced workflows<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Real-world production ceilings show this gap clearly. A micro-influencer managing three brand deals at once needs the product in multiple settings, outfits, and angles, all delivered on deadline. With Midjourney, each variation becomes a new prompt gamble inside Discord. With FLUX.2, each new scene requires re-attaching references and managing ComfyUI nodes. With Sozee, the sponsor\u2019s product drops into the Object slot, the outfit library supplies the looks, and Photo Shoot generates a locked, coherent set of up to ten frames from a single image, including a full SFW-to-NSFW arc with the ramp and ceiling set by the creator.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Lock your likeness and ship your next campaign in one session, try Sozee free.<\/strong><\/a><\/p>\n<h2>Sozee Workflow: Turning Characters Into a Repeatable Business Asset<\/h2>\n<p>Sozee follows one principle: a creator should never re-roll a prompt hoping to get their own face back. Every meaningful decision becomes a control that can be set once, reused, and refined. The workflow runs across five connected systems that remove the friction exposed in the comparison tables.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><img src=\"https:\/\/cdn.aigrowthmarketer.co\/1762997925636-7453a7a8b2ad.png\" alt=\"Sozee AI Platform\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>Sozee AI Platform<\/em><\/figcaption><\/figure>\n<p><strong>Photo Control<\/strong> replaces the prompt bar with a director\u2019s panel that sets five dimensions per shoot: Setting, Outfit, Shot style, Expression, and Object. These dimensions match the variables brand briefs specify, so vague direction turns into repeatable inputs. Each slot accepts an upload, a library pull, or an inline @-reference, which means assets created once can support many campaigns. Likeness stays locked underneath every change, so the creator avoids re-rolling for a matching face.<\/p>\n<p><strong>Photo Shoot<\/strong> takes one image and builds a coherent set of up to ten around it. Identity, outfit, and environment stay locked while angle, pose, and expression move. A full SFW-to-NSFW arc, with pacing and ceiling set by the creator, comes from a single frame instead of a chain of prompts.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><img src=\"https:\/\/sozee.ai\/wp-content\/uploads\/2025\/11\/Sozee-60-Seconds-To-Generate-Content-White.gif\" alt=\"GIF of Sozee Platform Generating Images Based On Inputs From Creator on a White Background\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>GIF of Sozee Platform Generating Images Based On Inputs From Creator on a White Background<\/em><\/figcaption><\/figure>\n<p><strong>Live Mode<\/strong> renders the character onto the creator\u2019s camera feed in real time. The creator performs naturally and the character mirrors that performance. Frames capture as they happen, which turns live sessions into structured content libraries.<\/p>\n<p><strong>The Agent<\/strong> turns half-formed ideas into finished shoot setups. It reads existing characters, the asset library, and performance data, then writes directly into the prompt bar and Photo Control panel. When the conversation ends, the shoot sits one tap from Generate.<\/p>\n<p><strong>The Vault<\/strong> stores every image, video, voice note, and Live Mode snap in folders chosen at the moment of generation. It feeds the Scheduler, which connects Instagram, TikTok, X, Facebook, Reddit, and Fanvue per character with captions per platform and live post previews. Analytics then separate what Sozee posted from what the creator posted, which produces measurable ROI from the platform\u2019s contribution.<\/p>\n<p>Across every evaluation criterion, Sozee keeps likeness locked at inference time with no LoRA and no training. Creators build reusable environments from up to four reference shots and reuse them across campaigns. Outfits assemble from one piece per category and attach to any character. Objects steer scenes with up to four props per set. SFW-to-NSFW control is native and creator-defined. Scheduling and analytics live inside the same platform, so there is no need to export into a chain of other tools.<\/p>\n<h2>Real-World Scenarios: Matching Tools to Creator Workflows<\/h2>\n<p><strong>Micro-influencer managing brand deals:<\/strong> A sponsor brief requires the product in three settings, four outfits, and six angles plus a reel. Sozee handles this in one session, as the workflow described earlier, Object slot plus outfit library plus Photo Shoot, delivers the full set on deadline, and the Scheduler pushes everything live without a second login. With Midjourney, each variation becomes a separate Discord prompt with no guarantee the face matches the last frame.<\/p>\n<p><strong>Agency running a creator roster:<\/strong> Each client needs isolated characters, vaults, connected accounts, and credits. Sozee\u2019s Teams and Workspaces feature provides that structure from one login. <a href=\"https:\/\/news.adobe.com\/news\/2025\/10\/adobe-max-2025-creators-survey\" target=\"_blank\" rel=\"noindex nofollow\">AI tool adoption among creators reached 86% in 2026 according to Adobe\u2019s Creators\u2019 Toolkit Report surveying over 16,000 creators.<\/a> Agencies that cannot deliver consistent output at scale lose those clients to competitors who can.<\/p>\n<p><strong>Virtual influencer builder:<\/strong> <a href=\"https:\/\/www.marketsandmarkets.com\/Market-Reports\/character-based-ai-agents-market-203215434.html\" target=\"_blank\" rel=\"noindex nofollow\">The overall character-based AI agents market is projected to grow at a CAGR of 46.7% from 2026 to 2032, with virtual influencers cited as a key adoption driver in social media but no segment-specific CAGR of 49.2% reported.<\/a> Building a virtual influencer on general-purpose tools means re-describing the character in every prompt and managing LoRA files across sessions. Sozee generates an original character, locks her likeness, builds her world once, puts her in motion via video and Live Mode, and schedules her to post daily in one platform.<\/p>\n<p><strong>Fantasy worldbuilder or game asset creator:<\/strong> <a href=\"https:\/\/neuraplus-ai.github.io\/blog\/how-to-create-ai-characters.html\" target=\"_blank\" rel=\"noindex nofollow\">In game development, AI character tools generate multi-angle character sheets with expressions and equipment variants using transparent backgrounds for direct import into game engines<\/a>. Sozee\u2019s AI Character Builder constructs original characters from origin and ethnicity through physique and distinctive details, with every trait appearing in every generation, so there is no re-description and no drift.<\/p>\n<h2>Total Value of Ownership: Asset Reuse and Measurable ROI<\/h2>\n<p>Reusable assets create a compounding economic advantage for Sozee users over prompt-based tools. With prompt-based platforms, every new shoot starts from zero, so the creator re-describes the setting, re-uploads references, and re-rolls until the output matches the brief. With Sozee, every environment built becomes a space that can be shot in for a year, every outfit assembled from the library reattaches to any future campaign, and every object saved becomes a prop available across every character on the account. Time saved on the second shoot funds the third, and by month six many creators produce several times the volume of a prompt-based competitor because setup costs were paid once.<\/p>\n<p><a href=\"https:\/\/www.marketsandmarkets.com\/Market-Reports\/character-based-ai-agents-market-203215434.html\" target=\"_blank\" rel=\"noindex nofollow\">The global character-based AI agents market was valued at USD 0.55 billion in 2026 and is projected to reach USD 5.45 billion by 2032, growing at a CAGR of 46.7%.<\/a> <a href=\"https:\/\/www.mordorintelligence.com\/industry-reports\/digital-human-market\" target=\"_blank\" rel=\"noindex nofollow\">The Digital Human Market is expected to grow from USD 7.96 billion in 2026 to USD 26.04 billion by 2031 at a 26.76% CAGR.<\/a> Creators who build reusable character assets now build equity in a market that compounds at those rates.<\/p>\n<p>Sozee\u2019s Analytics separate what the platform posted from what the creator posted. That separation produces a direct, auditable measure of the platform\u2019s contribution to impressions, reach, engagement, and revenue, which helps justify the tool to an agency client or a brand partner.<\/p>\n<h2>Midjourney Alternatives for Characters 2026: Guided Decision Framework<\/h2>\n<p>Creators can match their profile to the right tool using the criteria established above.<\/p>\n<ul>\n<li><strong>You need locked likeness, reusable assets, scheduling, analytics, and SFW-to-NSFW control in one platform:<\/strong> Sozee is the only option that meets all six criteria without exporting to additional tools.<\/li>\n<li><strong>You need multi-character @-reference consistency for campaigns without a native scheduler:<\/strong> getimg.ai Elements covers consistency but requires third-party publishing.<\/li>\n<li><strong>You need stylized editorial art and are comfortable with Discord and 3\u20135 shot consistency windows:<\/strong> Midjourney v7\/v8 remains capable for artistic output but not for brand-consistent content at scale.<\/li>\n<li><strong>You need maximum technical control, local deployment, and are willing to manage LoRA files and ComfyUI nodes:<\/strong> FLUX.2 with Flux Kontext provides deep structural control for developers and technical worldbuilders.<\/li>\n<li><strong>You need text-accurate brand characters with commercial licensing from a free tier:<\/strong> Ideogram\u2019s character mask system handles text rendering that other tools cannot match.<\/li>\n<\/ul>\n<p>For every creator type that monetizes content, including micro-influencers, agency operators, virtual influencer builders, and worldbuilders, Sozee is the recommended first choice because it treats character generation as a business workflow rather than an image experiment.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How do you achieve consistency without training or LoRAs in 2026?<\/h3>\n<p>In 2026, the most reliable no-training method is inference-time identity locking. The platform extracts a character\u2019s identity from a small set of reference photos and holds it across every generation without storing a trained model. Sozee implements this through Photo Control, where likeness locks at the system level rather than relying on prompt tricks. The creator sets five deliberate dimensions per shoot, Setting, Outfit, Shot style, Expression, and Object, and the character\u2019s face and body remain identical across every frame in the set. This approach differs from reference-image conditioning tools like IP-Adapter, which require re-attaching a reference image per session and deliver roughly 70\u201385% face similarity, or LoRA training, which requires 15\u201330 images, hours of setup, and file management. Sozee needs as few as three photos and produces locked likeness from the first generation.<\/p>\n<h3>Is my likeness private when using AI character tools?<\/h3>\n<p>Privacy practices vary significantly across platforms, so creators should check them closely. Sozee\u2019s privacy principle is explicit: your likeness is yours alone. Models stay private, isolated, and never train anything else. The identity extracted from uploaded photos is not shared across users, not used to improve the base model, and not accessible to other accounts. For creators building a brand on a specific face, whether their own or an original AI character, this isolation functions as a commercial requirement. Agencies running multiple clients from one login also benefit from Sozee\u2019s workspace isolation, which keeps each client\u2019s characters, vault, and connected accounts fully separated.<\/p>\n<h3>Can these platforms handle both SFW and NSFW content safely?<\/h3>\n<p>Most general-purpose AI image tools enforce a single content ceiling across all users with no creator-level control over that ceiling. GPT Image 2, for example, applies strict OpenAI content moderation that filters mature creative work regardless of hosting platform. Sozee uses a native SFW-to-NSFW pipeline where the creator sets the pacing and the ceiling per set. Photo Shoot generates a full arc, from SFW teasers through to NSFW content, with the ramp defined by the creator rather than the platform\u2019s default. Compliance and verification sit inside the character setup process instead of appearing as an afterthought. This design makes Sozee the only platform in this comparison that treats adult content as a legitimate, controllable monetization channel rather than a policy exception.<\/p>\n<h3>What is the fastest way to migrate from Midjourney while keeping character consistency?<\/h3>\n<p>The fastest migration path starts with three to five clean, well-lit reference photos of the existing character, including front-facing, three-quarter view, and full-body shots, uploaded into Sozee\u2019s character setup. Sozee reconstructs the likeness instantly with no training step. From that point, every shoot uses Photo Control to set the five dimensions deliberately, which replaces the prompt gambling of Midjourney\u2019s &#8211;cref workflow. Existing environments, outfits, and props from prior shoots can be uploaded into Sozee\u2019s library and saved as reusable assets. The Agent can then take a content brief and interview the creator into a finished shoot setup, writing directly into the prompt bar and Photo Control panel. Many creators complete the full migration, from upload to first scheduled post, in a single session.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><img src=\"https:\/\/cdn.aigrowthmarketer.co\/1762997859947-4a2e298c7c02.png\" alt=\"Creator Onboarding For Sozee AI\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>Creator Onboarding<\/em><\/figcaption><\/figure>\n<h2>Conclusion: Choose the Studio That Removes Production Ceilings<\/h2>\n<p>Midjourney\u2019s prompt gambling and training friction impose a hard ceiling on monetizable daily output. Every inconsistent frame becomes a brand asset that cannot be published. Every re-roll consumes time that never returns, and every Discord interaction adds friction that does not exist in a purpose-built studio.<\/p>\n<p><a href=\"https:\/\/khaby.ai\/blog\/creator-economy-2026-attention-to-identity\" target=\"_blank\" rel=\"noindex nofollow\">Goldman Sachs projects the creator economy will reach $480 billion by 2027<\/a>, and the data on AI adoption shows a clear divide, as top earners use these tools at roughly double the rate of their peers and see 2\u20135\u00d7 higher engagement as a result. The tools a creator chooses in 2026 determine which side of that gap they land on.<\/p>\n<p>Sozee removes the production ceiling with Photo Control, Photo Shoot, Agent, Live Mode, and Vault workflows that lock likeness without LoRAs, compound reusable assets across every shoot, and close the loop from generation to scheduled post to measurable analytics inside one platform.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Remove the production ceiling, build your first character in Sozee today.<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Midjourney lacks consistency. Sozee locks character identity without training. Compare top AI character creator alternatives and start free today.<\/p>\n","protected":false},"author":2,"featured_media":28991,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,5],"tags":[28],"class_list":["post-9853","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-influencers","category-tools","tag-midjourney"],"_links":{"self":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/9853","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/comments?post=9853"}],"version-history":[{"count":1,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/9853\/revisions"}],"predecessor-version":[{"id":28992,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/9853\/revisions\/28992"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media\/28991"}],"wp:attachment":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media?parent=9853"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/categories?post=9853"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/tags?post=9853"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}