Illustrious-Xl-Early-Release-V0 Free Image Generate Online, Click to Use!<\/title>\n<\/head>\n<body>\n <div class=\"container\">\n<style>\n* {\n box-sizing: border-box;\n}\n\nbody { \n background: linear-gradient(135deg, #dbeafe 0%, #bfdbfe 100%);\n font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', 'Cantarell', sans-serif; \n margin: 0; \n padding: 20px; \n line-height: 1.7; \n min-height: 100vh;\n}\n\n.container {\n max-width: 1200px;\n margin: 0 auto;\n padding: 0 20px;\n}\n\n.card { \n background: rgba(255, 255, 255, 0.95);\n border-radius: 20px; \n box-shadow: 0 8px 32px rgba(59, 130, 246, 0.1), 0 2px 8px rgba(30, 64, 175, 0.05);\n padding: 32px; \n margin-bottom: 32px; \n border: 1px solid rgba(59, 130, 246, 0.2);\n transition: transform 0.3s ease, box-shadow 0.3s ease, border-color 0.3s ease;\n will-change: transform, box-shadow;\n}\n\n.card:hover {\n transform: translate3d(0, -2px, 0);\n box-shadow: 0 12px 40px rgba(59, 130, 246, 0.2), 0 4px 12px rgba(30, 64, 175, 0.15);\n border-color: rgba(59, 130, 246, 0.3);\n}\n\nheader.card {\n background: linear-gradient(135deg, #3b82f6 0%, #1e40af 100%);\n color: white;\n text-align: center;\n position: relative;\n overflow: hidden;\n}\n\nheader.card::before {\n content: '';\n position: absolute;\n top: 0;\n left: 0;\n right: 0;\n bottom: 0;\n background: linear-gradient(135deg, rgba(255,255,255,0.1) 0%, rgba(255,255,255,0.05) 100%);\n pointer-events: none;\n}\n\nheader.card h1 {\n color: white;\n text-shadow: 0 2px 4px rgba(30, 64, 175, 0.4);\n position: relative;\n z-index: 1;\n}\n\nheader.card p {\n color: rgba(255, 255, 255, 0.9);\n font-size: 1.1rem;\n position: relative;\n z-index: 1;\n}\n\nh1 { \n color: #1e40af; 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text-align: center; background: rgba(255, 255, 255, 0.95); position: relative; min-height: 750px; overflow: hidden;\">\n \n <div id=\"iframe-loading\" style=\"\n position: absolute;\n top: 50%;\n left: 50%;\n transform: translate(-50%, -50%);\n z-index: 10;\n display: flex;\n flex-direction: column;\n align-items: center;\n gap: 20px;\n color: #1e40af;\n font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;\n \">\n \n <div style=\"\n width: 50px;\n height: 50px;\n border: 4px solid rgba(59, 130, 246, 0.2);\n border-top: 4px solid #3b82f6;\n border-radius: 50%;\n animation: spin 1s linear infinite;\n \"><\/div>\n \n <div style=\"font-size: 16px; font-weight: 500;\">Loading AI Model Interface…<\/div>\n <\/div>\n \n <iframe \n id=\"ai-iframe\"\n data-src=\"https:\/\/tool-image-client.wemiaow.com\/image?model=OnomaAIResearch%2FIllustrious-xl-early-release-v0\" \n width=\"100%\" \n style=\"border-radius: 8px; box-shadow: 0 4px 12px rgba(59, 130, 246, 0.2); opacity: 0; transition: opacity 0.5s ease; height: 750px; border: none; display: block;\"\n title=\"AI Model Interface\"\n onload=\"hideLoading();\"\n scrolling=\"auto\"\n frameborder=\"0\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" data-load-mode=\"1\">\n <\/iframe>\n \n \n <style>\n @keyframes spin {\n 0% { transform: rotate(0deg); }\n 100% { transform: rotate(360deg); }\n }\n \n .iframe-loaded {\n opacity: 1 !important;\n }\n \n\/* Related Posts \u6837\u5f0f *\/\n.related-posts {\n background: rgba(255, 255, 255, 0.95);\n border-radius: 20px;\n box-shadow: 0 8px 32px rgba(59, 130, 246, 0.1), 0 2px 8px rgba(30, 64, 175, 0.05);\n padding: 32px;\n margin-bottom: 32px;\n border: 1px solid rgba(59, 130, 246, 0.2);\n transition: transform 0.3s ease, box-shadow 0.3s ease, border-color 0.3s ease;\n will-change: transform, box-shadow;\n}\n\n.related-posts:hover {\n transform: translate3d(0, -2px, 0);\n box-shadow: 0 12px 40px rgba(59, 130, 246, 0.2), 0 4px 12px rgba(30, 64, 175, 0.15);\n border-color: rgba(59, 130, 246, 0.3);\n}\n\n.related-posts h2 {\n color: #1e40af;\n font-size: 1.8rem;\n margin-bottom: 24px;\n text-align: left;\n font-weight: 700;\n}\n\n.related-posts-grid {\n display: grid;\n grid-template-columns: repeat(3, 1fr);\n gap: 24px;\n margin-top: 24px;\n}\n\n@media (max-width: 768px) {\n .related-posts-grid {\n grid-template-columns: 1fr;\n }\n}\n\n.related-post-item {\n background: white;\n border-radius: 12px;\n overflow: hidden;\n box-shadow: 0 4px 12px rgba(59, 130, 246, 0.1);\n transition: transform 0.3s ease, box-shadow 0.3s ease, border-color 0.3s ease;\n border: 1px solid rgba(59, 130, 246, 0.2);\n cursor: pointer;\n will-change: transform, box-shadow;\n}\n\n.related-post-item:hover {\n transform: translate3d(0, -4px, 0);\n box-shadow: 0 8px 24px rgba(59, 130, 246, 0.2);\n border-color: rgba(59, 130, 246, 0.4);\n}\n\n.related-post-item a {\n text-decoration: none;\n display: block;\n color: inherit;\n}\n\n.related-post-image {\n width: 100%;\n height: 180px;\n object-fit: cover;\n display: block;\n}\n\n.related-post-title {\n padding: 16px;\n color: #1e40af;\n font-size: 0.95rem;\n font-weight: 600;\n line-height: 1.4;\n min-height: 48px;\n display: -webkit-box;\n -webkit-line-clamp: 2;\n -webkit-box-orient: vertical;\n overflow: hidden;\n}\n\n.related-post-item:hover .related-post-title {\n color: #3b82f6;\n}\n<\/style>\n \n \n <script>\n console.log('[iframe-height] ========== Iframe Script Initialized ==========');\n console.log('[iframe-height] Iframe height is fixed at: 750px');\n \n function hideLoading() {\n console.log('[iframe-height] hideLoading called');\n const loading = document.getElementById('iframe-loading');\n const iframe = document.getElementById('ai-iframe');\n \n if (loading && iframe) {\n loading.style.display = 'none';\n iframe.classList.add('iframe-loaded');\n console.log('[iframe-height] \u2705 Loading animation hidden, iframe marked as loaded');\n } else {\n console.log('[iframe-height] \u26a0\ufe0f Loading or iframe element not found');\n }\n }\n \n \/\/ Fallback: hide loading after 10 seconds even if iframe doesn't load\n console.log('[iframe-height] Setting up fallback loading hide (10 seconds timeout)');\n setTimeout(function() {\n console.log('[iframe-height] \u23f0 Fallback timeout triggered (10 seconds)');\n const loading = document.getElementById('iframe-loading');\n const iframe = document.getElementById('ai-iframe');\n \n if (loading && iframe) {\n loading.style.display = 'none';\n iframe.classList.add('iframe-loaded');\n console.log('[iframe-height] \u2705 Fallback: Loading animation hidden');\n } else {\n console.log('[iframe-height] \u26a0\ufe0f Fallback: Loading or iframe element not found');\n }\n }, 10000);\n \n console.log('[iframe-height] ========== Script Setup Complete ==========');\n console.log('[iframe-height] Iframe height is fixed at 750px, no dynamic adjustment');\n <\/script>\n<\/section>\n\n<section class=\"intro card\">\n <h2>What is Illustrious XL Early Release V0?<\/h2>\n <p>Illustrious XL Early Release V0 represents a significant advancement in AI-powered artistic image generation. Developed by OnomaAI Research, this open-source model is specifically designed for creating high-quality illustrations with exceptional attention to character design, artistic styles, and creative expression.<\/p>\n <p>Built upon the robust Stable Diffusion XL (SDXL) architecture and fine-tuned on the extensive Danbooru2023 dataset, Illustrious XL offers artists, researchers, and creative professionals a powerful foundation for generating detailed, stylistically diverse artwork. The model excels at interpreting both traditional tag-based prompts and natural language descriptions, making it accessible to users with varying levels of technical expertise.<\/p>\n <p>This model serves as a flexible base for further customization and research, enabling the creative community to explore new possibilities in AI-assisted art generation while maintaining ethical standards through its guided variant.<\/p>\n<\/section>\n\n<section class=\"how-to-use card\">\n <h2>How to Use Illustrious XL Early Release V0<\/h2>\n <p>Getting started with Illustrious XL requires understanding its optimal configuration settings and prompt structure. Follow these steps for best results:<\/p>\n \n <h3>Step 1: Choose Your Model Variant<\/h3>\n <ol>\n <li><strong>BASE (v0.1)<\/strong>: The untuned foundation model ideal for researchers and developers who want maximum flexibility for custom fine-tuning<\/li>\n <li><strong>GUIDED (v0.1-GUIDED)<\/strong>: Incorporates additional safety mechanisms for responsible content generation, recommended for general creative use<\/li>\n <\/ol>\n\n <h3>Step 2: Configure Generation Parameters<\/h3>\n <ol>\n <li><strong>Sampling Method<\/strong>: Use Euler a for optimal results<\/li>\n <li><strong>Sampling Steps<\/strong>: Set between 20-28 steps (25 recommended for balance between quality and speed)<\/li>\n <li><strong>CFG Scale<\/strong>: Configure classifier-free guidance between 5.0-7.5 (6.5 provides good prompt adherence)<\/li>\n <li><strong>Resolution<\/strong>: V0.1 supports up to 1 megapixel (1024×1024 or equivalent aspect ratios)<\/li>\n <\/ol>\n\n <h3>Step 3: Craft Effective Prompts<\/h3>\n <ol>\n <li>Include quality tags at the beginning: “masterpiece, best quality” for high-quality outputs<\/li>\n <li>Specify artistic style explicitly (the model is not aesthetically pre-tuned)<\/li>\n <li>Use either tag-based format (comma-separated descriptors) or natural language descriptions<\/li>\n <li>Add negative prompts with quality tags like “worst quality, low quality” to avoid undesired results<\/li>\n <\/ol>\n\n <h3>Step 4: Generate and Refine<\/h3>\n <ol>\n <li>Run the initial generation with your configured parameters<\/li>\n <li>Evaluate the output and adjust CFG scale or sampling steps if needed<\/li>\n <li>Experiment with different style descriptors to achieve your desired aesthetic<\/li>\n <li>Consider using the output as a base for further fine-tuning or LoRA training<\/li>\n <\/ol>\n<\/section>\n\n<section class=\"insights card\">\n <h2>Latest Research Insights and Technical Developments<\/h2>\n \n <div class=\"highlight-box\">\n <h3>Foundation and Architecture<\/h3>\n <p>Illustrious XL v0.1 is built upon the Kohaku XL Beta 5 checkpoint, leveraging its robust generative capabilities as a foundation. The model utilizes the Stable Diffusion XL architecture, which provides superior image quality and compositional understanding compared to earlier SD versions.<\/p>\n <\/div>\n\n <h3>Training Dataset and Specialization<\/h3>\n <p>The model has been fine-tuned on the large-scale Danbooru2023 dataset, which contains millions of tagged anime and illustration artworks. This specialized training enables the model to:<\/p>\n <ul>\n <li>Understand complex character designs and artistic conventions<\/li>\n <li>Interpret detailed tag-based descriptions common in illustration communities<\/li>\n <li>Generate consistent character features across multiple generations<\/li>\n <li>Recognize and reproduce diverse artistic styles and techniques<\/li>\n <\/ul>\n\n <h3>Evolution to V1.0 and V2.0<\/h3>\n <p>Recent developments have expanded the Illustrious XL family significantly. Version 1.0 introduced higher native resolutions up to 1536×1536 pixels, while v2.0 pushes boundaries even further with enhanced natural language understanding and improved compatibility with popular extensions like LoRA and ControlNet. These newer versions maintain backward compatibility while offering substantial improvements in image quality and prompt interpretation.<\/p>\n\n <h3>Licensing and Intended Use<\/h3>\n <p>Released under a fair public AI license, Illustrious XL is explicitly designed for research and creative purposes. The license prohibits commercial or closed-source applications, ensuring the model remains accessible to the open-source community while encouraging responsible innovation in AI art generation.<\/p>\n\n <div class=\"feature-grid\">\n <div class=\"feature-item\">\n <h4>\ud83c\udfa8 Artistic Flexibility<\/h4>\n <p>Supports wide range of illustration styles from anime to semi-realistic art<\/p>\n <\/div>\n <div class=\"feature-item\">\n <h4>\ud83d\udd27 Customization Ready<\/h4>\n <p>Serves as an excellent base for LoRA training and fine-tuning<\/p>\n <\/div>\n <div class=\"feature-item\">\n <h4>\ud83d\udee1\ufe0f Safety Features<\/h4>\n <p>GUIDED variant includes responsible content generation mechanisms<\/p>\n <\/div>\n <div class=\"feature-item\">\n <h4>\ud83d\udcca Quality Control<\/h4>\n <p>Quality tag system enables precise control over output fidelity<\/p>\n <\/div>\n <\/div>\n<\/section>\n\n<section class=\"details card\">\n <h2>Technical Specifications and Advanced Features<\/h2>\n\n <h3>Model Architecture Details<\/h3>\n <p>Illustrious XL Early Release V0 inherits the advanced UNet architecture from Stable Diffusion XL, featuring:<\/p>\n <ul>\n <li>Dual text encoder system for improved prompt understanding<\/li>\n <li>Enhanced attention mechanisms for better compositional coherence<\/li>\n <li>Optimized latent space representation for higher quality outputs<\/li>\n <li>Efficient memory usage allowing generation on consumer-grade GPUs<\/li>\n <\/ul>\n\n <h3>Quality Tag System<\/h3>\n <p>The model responds to a hierarchical quality tag system that significantly influences output quality:<\/p>\n <ul>\n <li><strong>Positive Quality Tags<\/strong>: “masterpiece”, “best quality”, “high quality”, “ultra-detailed”<\/li>\n <li><strong>Negative Quality Tags<\/strong>: “worst quality”, “low quality”, “normal quality”, “blurry”<\/li>\n <li><strong>Usage<\/strong>: Place quality tags at the beginning of prompts for maximum effect<\/li>\n <\/ul>\n\n <h3>Resolution Capabilities and Limitations<\/h3>\n <p>Version 0.1 is optimized for resolutions up to 1 megapixel (1MP). Common working resolutions include:<\/p>\n <ul>\n <li>1024×1024 (square format)<\/li>\n <li>1152×896 (landscape)<\/li>\n <li>896×1152 (portrait)<\/li>\n <li>1216×832 (wide landscape)<\/li>\n <\/ul>\n <p>Higher resolutions may produce artifacts or inconsistencies. For larger outputs, consider upgrading to v1.0 or v2.0, which support native resolutions up to 1536×1536 and beyond.<\/p>\n\n <h3>Prompt Engineering Best Practices<\/h3>\n <p>Effective prompt construction significantly impacts generation quality:<\/p>\n <ul>\n <li><strong>Structure<\/strong>: Quality tags \u2192 Subject \u2192 Style \u2192 Details \u2192 Background<\/li>\n <li><strong>Specificity<\/strong>: Be explicit about desired artistic style (e.g., “watercolor style”, “digital painting”, “anime style”)<\/li>\n <li><strong>Character Details<\/strong>: Include specific features like hair color, eye color, clothing, and expressions<\/li>\n <li><strong>Composition<\/strong>: Specify framing (close-up, full body, portrait) and perspective<\/li>\n <li><strong>Lighting<\/strong>: Describe lighting conditions for more controlled atmospheres<\/li>\n <\/ul>\n\n <h3>Integration with Extensions and Tools<\/h3>\n <p>Illustrious XL works seamlessly with popular Stable Diffusion ecosystem tools:<\/p>\n <ul>\n <li><strong>LoRA (Low-Rank Adaptation)<\/strong>: Train custom style or character LoRAs for specialized outputs<\/li>\n <li><strong>ControlNet<\/strong>: Enhanced compatibility in v1.0+ for precise compositional control<\/li>\n <li><strong>Textual Inversion<\/strong>: Embed custom concepts and styles<\/li>\n <li><strong>Upscaling Tools<\/strong>: Compatible with standard SD upscaling workflows<\/li>\n <\/ul>\n\n <h3>Performance Optimization<\/h3>\n <p>To maximize generation efficiency:<\/p>\n <ul>\n <li>Use FP16 precision for faster generation with minimal quality loss<\/li>\n <li>Enable xFormers or other attention optimization libraries<\/li>\n <li>Batch processing can improve throughput for multiple generations<\/li>\n <li>Consider using VAE tiling for very high-resolution outputs<\/li>\n <\/ul>\n\n <h3>Comparison with Other Models<\/h3>\n <p>Illustrious XL distinguishes itself from other illustration-focused models through:<\/p>\n <ul>\n <li>Superior understanding of anime and illustration-specific terminology<\/li>\n <li>Better character consistency across generations<\/li>\n <li>More flexible style interpretation compared to heavily fine-tuned alternatives<\/li>\n <li>Active development with regular updates (v1.0, v2.0)<\/li>\n <li>Strong community support and extensive documentation<\/li>\n <\/ul>\n<\/section>\n\n<aside class=\"faq card\">\n <h2>Frequently Asked Questions<\/h2>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>What is the difference between BASE and GUIDED variants?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">The BASE (v0.1) variant is the untuned foundation model that provides maximum flexibility for researchers and developers who want to fine-tune the model for specific purposes. The GUIDED (v0.1-GUIDED) variant incorporates additional safety mechanisms and content filters designed for responsible content generation, making it more suitable for general creative use and public-facing applications. Both variants share the same core architecture and capabilities, but GUIDED includes guardrails to prevent generation of potentially problematic content.<\/div>\n <\/div>\n\n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>Can I use Illustrious XL for commercial projects?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">No, Illustrious XL Early Release V0 is released under a fair public AI license that explicitly prohibits commercial or closed-source use. The model is designed for research and creative purposes within the open-source community. If you need a model for commercial applications, you should explore commercially licensed alternatives or contact the developers about licensing options for future versions.<\/div>\n <\/div>\n\n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>Why do my generations look different from what I expected?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">Illustrious XL v0.1 is not aesthetically fine-tuned, meaning you must explicitly specify your desired artistic style in the prompt. Unlike some models that default to a particular aesthetic, this model requires clear style descriptors like “anime style”, “watercolor painting”, or “digital art”. Additionally, ensure you’re using quality tags (“masterpiece, best quality”) at the beginning of your prompt and have configured the CFG scale appropriately (6.5-7.5 recommended). The model’s flexibility is a feature that allows for diverse outputs, but it requires more detailed prompting.<\/div>\n <\/div>\n\n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>What are the recommended settings for best quality outputs?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">For optimal results, use the Euler a sampling method with 20-28 sampling steps (25 is a good balance). Set the CFG scale between 5.0 and 7.5, with 6.5 being ideal for most use cases. Keep resolutions at or below 1 megapixel for v0.1 (1024×1024 or equivalent aspect ratios). Always include quality tags like “masterpiece, best quality” in your positive prompt and “worst quality, low quality” in your negative prompt. Explicitly specify your desired artistic style and use detailed descriptions for characters and scenes.<\/div>\n <\/div>\n\n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>Should I upgrade to v1.0 or v2.0 instead of using v0.1?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">The choice depends on your specific needs. V0.1 remains a solid foundation model that’s well-documented and stable. However, v1.0 and v2.0 offer significant improvements including higher native resolutions (up to 1536×1536 and beyond), better natural language understanding, and enhanced compatibility with LoRA and ControlNet. If you need higher resolution outputs or more sophisticated prompt interpretation, upgrading to v1.0 or v2.0 is recommended. V0.1 is still excellent for learning, experimentation, and projects that don’t require the latest features.<\/div>\n <\/div>\n\n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>How can I train custom LoRAs with Illustrious XL?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">Illustrious XL serves as an excellent base model for LoRA training. Use standard LoRA training tools compatible with Stable Diffusion XL models. Prepare a dataset of 20-100 high-quality images representing your desired style or character, tag them appropriately using the Danbooru tagging convention, and configure your training with appropriate learning rates (typically 1e-4 to 5e-4). The model’s untuned nature in BASE variant makes it particularly responsive to LoRA training, allowing you to create highly specialized outputs while maintaining the model’s core capabilities.<\/div>\n <\/div>\n<\/aside>\n\n<footer class=\"references card\">\n <h2>References and Further Reading<\/h2>\n <ul>\n <li><a href=\"https:\/\/civitai.com\/models\/1232765\/illustrious-xl-10\" target=\"_blank\" rel=\"noopener nofollow\">Illustrious XL 1.0 – v1.0 – Civitai<\/a><\/li>\n <li><a href=\"https:\/\/dataloop.ai\/library\/model\/onomaairesearch_illustrious-xl-early-release-v0\/\" target=\"_blank\" rel=\"noopener nofollow\">Illustrious Xl Early Release V0 \u00b7 Models – Dataloop<\/a><\/li>\n <li><a href=\"https:\/\/arxiv.org\/html\/2409.19946v1\" target=\"_blank\" rel=\"noopener nofollow\">Illustrious: an Open Advanced Illustration Model – arXiv<\/a><\/li>\n <li><a href=\"https:\/\/www.promptlayer.com\/models\/illustrious-xl-early-release-v0\" target=\"_blank\" rel=\"noopener nofollow\">Illustrious-xl-early-release-v0 – PromptLayer<\/a><\/li>\n <li><a href=\"https:\/\/yodayo.com\/models\/59267b78-839d-46e4-a45b-e7365b8df9ec\" target=\"_blank\" rel=\"noopener nofollow\">Illustrious-XL v0.1 – “Early Release” \u2014 Model Hub – Yodayo<\/a><\/li>\n <li><a href=\"https:\/\/cnb.cool\/ai-models\/OnomaAIResearch\/Illustrious-xl-early-release-v0\" target=\"_blank\" rel=\"noopener nofollow\">ai-models\/OnomaAIResearch\/Illustrious-xl-early-release-v0<\/a><\/li>\n <li><a href=\"https:\/\/www.illustrious-xl.ai\/blog\/7\" target=\"_blank\" rel=\"noopener nofollow\">Illustrious XL v2.0\u2014The best training base model in 1536 age<\/a><\/li>\n <\/ul>\n<\/footer>\n <\/div>\n<\/body>\n<\/html>\n","protected":false},"excerpt":{"rendered":"<p>Illustrious-Xl-Early-Release-V0 Free Image Generate Online, Click to Use! Illustrious-Xl-Early-Release-V0 Free Image Generate Online A comprehensive guide to the open-source illustration-focused generative AI model built on Stable Diffusion XL architecture Loading AI Model Interface… What is Illustrious XL Early Release V0? Illustrious XL Early Release V0 represents a significant advancement in AI-powered artistic image generation. Developed […]<\/p>\n","protected":false},"author":7,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_gspb_post_css":"","_uag_custom_page_level_css":"","footnotes":""},"class_list":["post-4116","page","type-page","status-publish","hentry"],"blocksy_meta":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false},"uagb_author_info":{"display_name":"Robin","author_link":"https:\/\/crepal.ai\/blog\/author\/robin\/"},"uagb_comment_info":0,"uagb_excerpt":"Illustrious-Xl-Early-Release-V0 Free Image Generate Online, Click to Use! Illustrious-Xl-Early-Release-V0 Free Image Generate Online A comprehensive guide to the open-source illustration-focused generative AI model built on Stable Diffusion XL architecture Loading AI Model Interface… What is Illustrious XL Early Release V0? Illustrious XL Early Release V0 represents a significant advancement in AI-powered artistic image generation. Developed…","_links":{"self":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/pages\/4116","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/comments?post=4116"}],"version-history":[{"count":0,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/pages\/4116\/revisions"}],"wp:attachment":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/media?parent=4116"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":4116,"date":"2025-11-26T18:28:01","date_gmt":"2025-11-26T10:28:01","guid":{"rendered":"https:\/\/crepal.ai\/blog\/illustrious-xl-early-release-v0-free-image-generate-online\/"},"modified":"2025-11-26T18:28:01","modified_gmt":"2025-11-26T10:28:01","slug":"illustrious-xl-early-release-v0-free-image-generate-online","status":"publish","type":"page","link":"https:\/\/crepal.ai\/blog\/illustrious-xl-early-release-v0-free-image-generate-online\/","title":{"rendered":"Illustrious-Xl-Early-Release-V0 Free Image Generate Online, Click to Use!"},"content":{"rendered":"\n\n\n\n \n \n \n Illustrious-Xl-Early-Release-V0 Free Image Generate Online, Click to Use!<\/title>\n<\/head>\n<body>\n <div class=\"container\">\n<style>\n* {\n box-sizing: border-box;\n}\n\nbody { \n background: linear-gradient(135deg, #dbeafe 0%, #bfdbfe 100%);\n font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', 'Cantarell', sans-serif; \n margin: 0; \n padding: 20px; \n line-height: 1.7; 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text-align: center; background: rgba(255, 255, 255, 0.95); position: relative; min-height: 750px; overflow: hidden;\">\n \n <div id=\"iframe-loading\" style=\"\n position: absolute;\n top: 50%;\n left: 50%;\n transform: translate(-50%, -50%);\n z-index: 10;\n display: flex;\n flex-direction: column;\n align-items: center;\n gap: 20px;\n color: #1e40af;\n font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;\n \">\n \n <div style=\"\n width: 50px;\n height: 50px;\n border: 4px solid rgba(59, 130, 246, 0.2);\n border-top: 4px solid #3b82f6;\n border-radius: 50%;\n animation: spin 1s linear infinite;\n \"><\/div>\n \n <div style=\"font-size: 16px; font-weight: 500;\">Loading AI Model Interface…<\/div>\n <\/div>\n \n <iframe \n id=\"ai-iframe\"\n data-src=\"https:\/\/tool-image-client.wemiaow.com\/image?model=OnomaAIResearch%2FIllustrious-xl-early-release-v0\" \n width=\"100%\" \n style=\"border-radius: 8px; box-shadow: 0 4px 12px rgba(59, 130, 246, 0.2); opacity: 0; transition: opacity 0.5s ease; height: 750px; border: none; display: block;\"\n title=\"AI Model Interface\"\n onload=\"hideLoading();\"\n scrolling=\"auto\"\n frameborder=\"0\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" data-load-mode=\"1\">\n <\/iframe>\n \n \n <style>\n @keyframes spin {\n 0% { transform: rotate(0deg); }\n 100% { transform: rotate(360deg); }\n }\n \n .iframe-loaded {\n opacity: 1 !important;\n }\n \n\/* Related Posts \u6837\u5f0f *\/\n.related-posts {\n background: rgba(255, 255, 255, 0.95);\n border-radius: 20px;\n box-shadow: 0 8px 32px rgba(59, 130, 246, 0.1), 0 2px 8px rgba(30, 64, 175, 0.05);\n padding: 32px;\n margin-bottom: 32px;\n border: 1px solid rgba(59, 130, 246, 0.2);\n transition: transform 0.3s ease, box-shadow 0.3s ease, border-color 0.3s ease;\n will-change: transform, box-shadow;\n}\n\n.related-posts:hover {\n transform: translate3d(0, -2px, 0);\n box-shadow: 0 12px 40px rgba(59, 130, 246, 0.2), 0 4px 12px rgba(30, 64, 175, 0.15);\n border-color: rgba(59, 130, 246, 0.3);\n}\n\n.related-posts h2 {\n color: #1e40af;\n font-size: 1.8rem;\n margin-bottom: 24px;\n text-align: left;\n font-weight: 700;\n}\n\n.related-posts-grid {\n display: grid;\n grid-template-columns: repeat(3, 1fr);\n gap: 24px;\n margin-top: 24px;\n}\n\n@media (max-width: 768px) {\n .related-posts-grid {\n grid-template-columns: 1fr;\n }\n}\n\n.related-post-item {\n background: white;\n border-radius: 12px;\n overflow: hidden;\n box-shadow: 0 4px 12px rgba(59, 130, 246, 0.1);\n transition: transform 0.3s ease, box-shadow 0.3s ease, border-color 0.3s ease;\n border: 1px solid rgba(59, 130, 246, 0.2);\n cursor: pointer;\n will-change: transform, box-shadow;\n}\n\n.related-post-item:hover {\n transform: translate3d(0, -4px, 0);\n box-shadow: 0 8px 24px rgba(59, 130, 246, 0.2);\n border-color: rgba(59, 130, 246, 0.4);\n}\n\n.related-post-item a {\n text-decoration: none;\n display: block;\n color: inherit;\n}\n\n.related-post-image {\n width: 100%;\n height: 180px;\n object-fit: cover;\n display: block;\n}\n\n.related-post-title {\n padding: 16px;\n color: #1e40af;\n font-size: 0.95rem;\n font-weight: 600;\n line-height: 1.4;\n min-height: 48px;\n display: -webkit-box;\n -webkit-line-clamp: 2;\n -webkit-box-orient: vertical;\n overflow: hidden;\n}\n\n.related-post-item:hover .related-post-title {\n color: #3b82f6;\n}\n<\/style>\n \n \n <script>\n console.log('[iframe-height] ========== Iframe Script Initialized ==========');\n console.log('[iframe-height] Iframe height is fixed at: 750px');\n \n function hideLoading() {\n console.log('[iframe-height] hideLoading called');\n const loading = document.getElementById('iframe-loading');\n const iframe = document.getElementById('ai-iframe');\n \n if (loading && iframe) {\n loading.style.display = 'none';\n iframe.classList.add('iframe-loaded');\n console.log('[iframe-height] \u2705 Loading animation hidden, iframe marked as loaded');\n } else {\n console.log('[iframe-height] \u26a0\ufe0f Loading or iframe element not found');\n }\n }\n \n \/\/ Fallback: hide loading after 10 seconds even if iframe doesn't load\n console.log('[iframe-height] Setting up fallback loading hide (10 seconds timeout)');\n setTimeout(function() {\n console.log('[iframe-height] \u23f0 Fallback timeout triggered (10 seconds)');\n const loading = document.getElementById('iframe-loading');\n const iframe = document.getElementById('ai-iframe');\n \n if (loading && iframe) {\n loading.style.display = 'none';\n iframe.classList.add('iframe-loaded');\n console.log('[iframe-height] \u2705 Fallback: Loading animation hidden');\n } else {\n console.log('[iframe-height] \u26a0\ufe0f Fallback: Loading or iframe element not found');\n }\n }, 10000);\n \n console.log('[iframe-height] ========== Script Setup Complete ==========');\n console.log('[iframe-height] Iframe height is fixed at 750px, no dynamic adjustment');\n <\/script>\n<\/section>\n\n<section class=\"intro card\">\n <h2>What is Illustrious XL Early Release V0?<\/h2>\n <p>Illustrious XL Early Release V0 represents a significant advancement in AI-powered artistic image generation. Developed by OnomaAI Research, this open-source model is specifically designed for creating high-quality illustrations with exceptional attention to character design, artistic styles, and creative expression.<\/p>\n <p>Built upon the robust Stable Diffusion XL (SDXL) architecture and fine-tuned on the extensive Danbooru2023 dataset, Illustrious XL offers artists, researchers, and creative professionals a powerful foundation for generating detailed, stylistically diverse artwork. The model excels at interpreting both traditional tag-based prompts and natural language descriptions, making it accessible to users with varying levels of technical expertise.<\/p>\n <p>This model serves as a flexible base for further customization and research, enabling the creative community to explore new possibilities in AI-assisted art generation while maintaining ethical standards through its guided variant.<\/p>\n<\/section>\n\n<section class=\"how-to-use card\">\n <h2>How to Use Illustrious XL Early Release V0<\/h2>\n <p>Getting started with Illustrious XL requires understanding its optimal configuration settings and prompt structure. Follow these steps for best results:<\/p>\n \n <h3>Step 1: Choose Your Model Variant<\/h3>\n <ol>\n <li><strong>BASE (v0.1)<\/strong>: The untuned foundation model ideal for researchers and developers who want maximum flexibility for custom fine-tuning<\/li>\n <li><strong>GUIDED (v0.1-GUIDED)<\/strong>: Incorporates additional safety mechanisms for responsible content generation, recommended for general creative use<\/li>\n <\/ol>\n\n <h3>Step 2: Configure Generation Parameters<\/h3>\n <ol>\n <li><strong>Sampling Method<\/strong>: Use Euler a for optimal results<\/li>\n <li><strong>Sampling Steps<\/strong>: Set between 20-28 steps (25 recommended for balance between quality and speed)<\/li>\n <li><strong>CFG Scale<\/strong>: Configure classifier-free guidance between 5.0-7.5 (6.5 provides good prompt adherence)<\/li>\n <li><strong>Resolution<\/strong>: V0.1 supports up to 1 megapixel (1024×1024 or equivalent aspect ratios)<\/li>\n <\/ol>\n\n <h3>Step 3: Craft Effective Prompts<\/h3>\n <ol>\n <li>Include quality tags at the beginning: “masterpiece, best quality” for high-quality outputs<\/li>\n <li>Specify artistic style explicitly (the model is not aesthetically pre-tuned)<\/li>\n <li>Use either tag-based format (comma-separated descriptors) or natural language descriptions<\/li>\n <li>Add negative prompts with quality tags like “worst quality, low quality” to avoid undesired results<\/li>\n <\/ol>\n\n <h3>Step 4: Generate and Refine<\/h3>\n <ol>\n <li>Run the initial generation with your configured parameters<\/li>\n <li>Evaluate the output and adjust CFG scale or sampling steps if needed<\/li>\n <li>Experiment with different style descriptors to achieve your desired aesthetic<\/li>\n <li>Consider using the output as a base for further fine-tuning or LoRA training<\/li>\n <\/ol>\n<\/section>\n\n<section class=\"insights card\">\n <h2>Latest Research Insights and Technical Developments<\/h2>\n \n <div class=\"highlight-box\">\n <h3>Foundation and Architecture<\/h3>\n <p>Illustrious XL v0.1 is built upon the Kohaku XL Beta 5 checkpoint, leveraging its robust generative capabilities as a foundation. The model utilizes the Stable Diffusion XL architecture, which provides superior image quality and compositional understanding compared to earlier SD versions.<\/p>\n <\/div>\n\n <h3>Training Dataset and Specialization<\/h3>\n <p>The model has been fine-tuned on the large-scale Danbooru2023 dataset, which contains millions of tagged anime and illustration artworks. This specialized training enables the model to:<\/p>\n <ul>\n <li>Understand complex character designs and artistic conventions<\/li>\n <li>Interpret detailed tag-based descriptions common in illustration communities<\/li>\n <li>Generate consistent character features across multiple generations<\/li>\n <li>Recognize and reproduce diverse artistic styles and techniques<\/li>\n <\/ul>\n\n <h3>Evolution to V1.0 and V2.0<\/h3>\n <p>Recent developments have expanded the Illustrious XL family significantly. Version 1.0 introduced higher native resolutions up to 1536×1536 pixels, while v2.0 pushes boundaries even further with enhanced natural language understanding and improved compatibility with popular extensions like LoRA and ControlNet. These newer versions maintain backward compatibility while offering substantial improvements in image quality and prompt interpretation.<\/p>\n\n <h3>Licensing and Intended Use<\/h3>\n <p>Released under a fair public AI license, Illustrious XL is explicitly designed for research and creative purposes. The license prohibits commercial or closed-source applications, ensuring the model remains accessible to the open-source community while encouraging responsible innovation in AI art generation.<\/p>\n\n <div class=\"feature-grid\">\n <div class=\"feature-item\">\n <h4>\ud83c\udfa8 Artistic Flexibility<\/h4>\n <p>Supports wide range of illustration styles from anime to semi-realistic art<\/p>\n <\/div>\n <div class=\"feature-item\">\n <h4>\ud83d\udd27 Customization Ready<\/h4>\n <p>Serves as an excellent base for LoRA training and fine-tuning<\/p>\n <\/div>\n <div class=\"feature-item\">\n <h4>\ud83d\udee1\ufe0f Safety Features<\/h4>\n <p>GUIDED variant includes responsible content generation mechanisms<\/p>\n <\/div>\n <div class=\"feature-item\">\n <h4>\ud83d\udcca Quality Control<\/h4>\n <p>Quality tag system enables precise control over output fidelity<\/p>\n <\/div>\n <\/div>\n<\/section>\n\n<section class=\"details card\">\n <h2>Technical Specifications and Advanced Features<\/h2>\n\n <h3>Model Architecture Details<\/h3>\n <p>Illustrious XL Early Release V0 inherits the advanced UNet architecture from Stable Diffusion XL, featuring:<\/p>\n <ul>\n <li>Dual text encoder system for improved prompt understanding<\/li>\n <li>Enhanced attention mechanisms for better compositional coherence<\/li>\n <li>Optimized latent space representation for higher quality outputs<\/li>\n <li>Efficient memory usage allowing generation on consumer-grade GPUs<\/li>\n <\/ul>\n\n <h3>Quality Tag System<\/h3>\n <p>The model responds to a hierarchical quality tag system that significantly influences output quality:<\/p>\n <ul>\n <li><strong>Positive Quality Tags<\/strong>: “masterpiece”, “best quality”, “high quality”, “ultra-detailed”<\/li>\n <li><strong>Negative Quality Tags<\/strong>: “worst quality”, “low quality”, “normal quality”, “blurry”<\/li>\n <li><strong>Usage<\/strong>: Place quality tags at the beginning of prompts for maximum effect<\/li>\n <\/ul>\n\n <h3>Resolution Capabilities and Limitations<\/h3>\n <p>Version 0.1 is optimized for resolutions up to 1 megapixel (1MP). Common working resolutions include:<\/p>\n <ul>\n <li>1024×1024 (square format)<\/li>\n <li>1152×896 (landscape)<\/li>\n <li>896×1152 (portrait)<\/li>\n <li>1216×832 (wide landscape)<\/li>\n <\/ul>\n <p>Higher resolutions may produce artifacts or inconsistencies. For larger outputs, consider upgrading to v1.0 or v2.0, which support native resolutions up to 1536×1536 and beyond.<\/p>\n\n <h3>Prompt Engineering Best Practices<\/h3>\n <p>Effective prompt construction significantly impacts generation quality:<\/p>\n <ul>\n <li><strong>Structure<\/strong>: Quality tags \u2192 Subject \u2192 Style \u2192 Details \u2192 Background<\/li>\n <li><strong>Specificity<\/strong>: Be explicit about desired artistic style (e.g., “watercolor style”, “digital painting”, “anime style”)<\/li>\n <li><strong>Character Details<\/strong>: Include specific features like hair color, eye color, clothing, and expressions<\/li>\n <li><strong>Composition<\/strong>: Specify framing (close-up, full body, portrait) and perspective<\/li>\n <li><strong>Lighting<\/strong>: Describe lighting conditions for more controlled atmospheres<\/li>\n <\/ul>\n\n <h3>Integration with Extensions and Tools<\/h3>\n <p>Illustrious XL works seamlessly with popular Stable Diffusion ecosystem tools:<\/p>\n <ul>\n <li><strong>LoRA (Low-Rank Adaptation)<\/strong>: Train custom style or character LoRAs for specialized outputs<\/li>\n <li><strong>ControlNet<\/strong>: Enhanced compatibility in v1.0+ for precise compositional control<\/li>\n <li><strong>Textual Inversion<\/strong>: Embed custom concepts and styles<\/li>\n <li><strong>Upscaling Tools<\/strong>: Compatible with standard SD upscaling workflows<\/li>\n <\/ul>\n\n <h3>Performance Optimization<\/h3>\n <p>To maximize generation efficiency:<\/p>\n <ul>\n <li>Use FP16 precision for faster generation with minimal quality loss<\/li>\n <li>Enable xFormers or other attention optimization libraries<\/li>\n <li>Batch processing can improve throughput for multiple generations<\/li>\n <li>Consider using VAE tiling for very high-resolution outputs<\/li>\n <\/ul>\n\n <h3>Comparison with Other Models<\/h3>\n <p>Illustrious XL distinguishes itself from other illustration-focused models through:<\/p>\n <ul>\n <li>Superior understanding of anime and illustration-specific terminology<\/li>\n <li>Better character consistency across generations<\/li>\n <li>More flexible style interpretation compared to heavily fine-tuned alternatives<\/li>\n <li>Active development with regular updates (v1.0, v2.0)<\/li>\n <li>Strong community support and extensive documentation<\/li>\n <\/ul>\n<\/section>\n\n<aside class=\"faq card\">\n <h2>Frequently Asked Questions<\/h2>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>What is the difference between BASE and GUIDED variants?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">The BASE (v0.1) variant is the untuned foundation model that provides maximum flexibility for researchers and developers who want to fine-tune the model for specific purposes. The GUIDED (v0.1-GUIDED) variant incorporates additional safety mechanisms and content filters designed for responsible content generation, making it more suitable for general creative use and public-facing applications. Both variants share the same core architecture and capabilities, but GUIDED includes guardrails to prevent generation of potentially problematic content.<\/div>\n <\/div>\n\n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>Can I use Illustrious XL for commercial projects?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">No, Illustrious XL Early Release V0 is released under a fair public AI license that explicitly prohibits commercial or closed-source use. The model is designed for research and creative purposes within the open-source community. If you need a model for commercial applications, you should explore commercially licensed alternatives or contact the developers about licensing options for future versions.<\/div>\n <\/div>\n\n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>Why do my generations look different from what I expected?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">Illustrious XL v0.1 is not aesthetically fine-tuned, meaning you must explicitly specify your desired artistic style in the prompt. Unlike some models that default to a particular aesthetic, this model requires clear style descriptors like “anime style”, “watercolor painting”, or “digital art”. Additionally, ensure you’re using quality tags (“masterpiece, best quality”) at the beginning of your prompt and have configured the CFG scale appropriately (6.5-7.5 recommended). The model’s flexibility is a feature that allows for diverse outputs, but it requires more detailed prompting.<\/div>\n <\/div>\n\n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>What are the recommended settings for best quality outputs?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">For optimal results, use the Euler a sampling method with 20-28 sampling steps (25 is a good balance). Set the CFG scale between 5.0 and 7.5, with 6.5 being ideal for most use cases. Keep resolutions at or below 1 megapixel for v0.1 (1024×1024 or equivalent aspect ratios). Always include quality tags like “masterpiece, best quality” in your positive prompt and “worst quality, low quality” in your negative prompt. Explicitly specify your desired artistic style and use detailed descriptions for characters and scenes.<\/div>\n <\/div>\n\n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>Should I upgrade to v1.0 or v2.0 instead of using v0.1?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">The choice depends on your specific needs. V0.1 remains a solid foundation model that’s well-documented and stable. However, v1.0 and v2.0 offer significant improvements including higher native resolutions (up to 1536×1536 and beyond), better natural language understanding, and enhanced compatibility with LoRA and ControlNet. If you need higher resolution outputs or more sophisticated prompt interpretation, upgrading to v1.0 or v2.0 is recommended. V0.1 is still excellent for learning, experimentation, and projects that don’t require the latest features.<\/div>\n <\/div>\n\n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>How can I train custom LoRAs with Illustrious XL?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">Illustrious XL serves as an excellent base model for LoRA training. Use standard LoRA training tools compatible with Stable Diffusion XL models. Prepare a dataset of 20-100 high-quality images representing your desired style or character, tag them appropriately using the Danbooru tagging convention, and configure your training with appropriate learning rates (typically 1e-4 to 5e-4). The model’s untuned nature in BASE variant makes it particularly responsive to LoRA training, allowing you to create highly specialized outputs while maintaining the model’s core capabilities.<\/div>\n <\/div>\n<\/aside>\n\n<footer class=\"references card\">\n <h2>References and Further Reading<\/h2>\n <ul>\n <li><a href=\"https:\/\/civitai.com\/models\/1232765\/illustrious-xl-10\" target=\"_blank\" rel=\"noopener nofollow\">Illustrious XL 1.0 – v1.0 – Civitai<\/a><\/li>\n <li><a href=\"https:\/\/dataloop.ai\/library\/model\/onomaairesearch_illustrious-xl-early-release-v0\/\" target=\"_blank\" rel=\"noopener nofollow\">Illustrious Xl Early Release V0 \u00b7 Models – Dataloop<\/a><\/li>\n <li><a href=\"https:\/\/arxiv.org\/html\/2409.19946v1\" target=\"_blank\" rel=\"noopener nofollow\">Illustrious: an Open Advanced Illustration Model – arXiv<\/a><\/li>\n <li><a href=\"https:\/\/www.promptlayer.com\/models\/illustrious-xl-early-release-v0\" target=\"_blank\" rel=\"noopener nofollow\">Illustrious-xl-early-release-v0 – PromptLayer<\/a><\/li>\n <li><a href=\"https:\/\/yodayo.com\/models\/59267b78-839d-46e4-a45b-e7365b8df9ec\" target=\"_blank\" rel=\"noopener nofollow\">Illustrious-XL v0.1 – “Early Release” \u2014 Model Hub – Yodayo<\/a><\/li>\n <li><a href=\"https:\/\/cnb.cool\/ai-models\/OnomaAIResearch\/Illustrious-xl-early-release-v0\" target=\"_blank\" rel=\"noopener nofollow\">ai-models\/OnomaAIResearch\/Illustrious-xl-early-release-v0<\/a><\/li>\n <li><a href=\"https:\/\/www.illustrious-xl.ai\/blog\/7\" target=\"_blank\" rel=\"noopener nofollow\">Illustrious XL v2.0\u2014The best training base model in 1536 age<\/a><\/li>\n <\/ul>\n<\/footer>\n <\/div>\n<\/body>\n<\/html>\n","protected":false},"excerpt":{"rendered":"<p>Illustrious-Xl-Early-Release-V0 Free Image Generate Online, Click to Use! Illustrious-Xl-Early-Release-V0 Free Image Generate Online A comprehensive guide to the open-source illustration-focused generative AI model built on Stable Diffusion XL architecture Loading AI Model Interface… What is Illustrious XL Early Release V0? Illustrious XL Early Release V0 represents a significant advancement in AI-powered artistic image generation. Developed […]<\/p>\n","protected":false},"author":7,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_gspb_post_css":"","_uag_custom_page_level_css":"","footnotes":""},"class_list":["post-4116","page","type-page","status-publish","hentry"],"blocksy_meta":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false},"uagb_author_info":{"display_name":"Robin","author_link":"https:\/\/crepal.ai\/blog\/author\/robin\/"},"uagb_comment_info":0,"uagb_excerpt":"Illustrious-Xl-Early-Release-V0 Free Image Generate Online, Click to Use! Illustrious-Xl-Early-Release-V0 Free Image Generate Online A comprehensive guide to the open-source illustration-focused generative AI model built on Stable Diffusion XL architecture Loading AI Model Interface… What is Illustrious XL Early Release V0? Illustrious XL Early Release V0 represents a significant advancement in AI-powered artistic image generation. Developed…","_links":{"self":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/pages\/4116","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/comments?post=4116"}],"version-history":[{"count":0,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/pages\/4116\/revisions"}],"wp:attachment":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/media?parent=4116"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}