Aeterna Opus is a 'random bullshit go' philosophy, flat, high-fidelity anime-themed text-to-image generative model and the latest installment in the series. Built on a structurally sound custom foundation, the model bridges the gap between painterly artistic depth and rigorous character alignment frameworks. The underlying backbone merges the atmospheric lighting of Ars Divina 7.2.4a with the anatomical precision of Indominus Rex XL. Rather than relying on standard fine-tuning, the merged weights underwent continuous, multi-epoch cyclical re-training, constantly rotating optimization passes between OnomaAI’s s1k_Korean dataset for natural language layout logic and CagliostroLab’s 1.2M Ordered Tags for strict Danbooru token compliance. These enhancements make Aeterna Opus highly adaptive, delivering exceptional structural stability and dual-format prompt adherence while maintaining a signature, illustrative edge.<h3 id="model-details">Model Details</h3><ul><li>Developed by: NeverWinter13</li><li>Model type: Diffusion-based text-to-image generative model</li><li>License: <a target="_blank" rel="ugc" href="https://huggingface.co/spaces/CompVis/stable-diffusion-license">CreativeML Open RAIL++-M</a></li><li>Core Base: SDXL Architecture (Ars Divina v7.2.4a x Indominus Rex XL Backbone)</li><li>Training Methodology: Cyclical continuous pre-training</li><li>Primary Focus: High-tier illustration, dynamic character staging, advanced multi-concept prompt adherence, and extreme structural stability.</li></ul><h2 id="generation-guidelines-and-recommendations">🎨 Generation Guidelines &amp; Recommendations</h2>Thanks to the Indominus Rex and Ars Divina DNA mixed with Cagliostro/Onoma training cycles, this model responds masterfully to both highly descriptive natural language and structured Danbooru tags.<h2 id="generation-guidelines-and-recommendations">Generation Guidelines &amp; Recommendations</h2>Thanks to the Indominus Rex and Ars Divina DNA mixed with Cagliostro/Onoma training cycles, this model responds masterfully to both highly descriptive natural language and structured Danbooru tags.<h3 id="prompting-guide">Prompting Guide</h3>You can utilize standard descriptive natural language sentences or structured tags. For optimal character styling inspired by CagliostroLab's standards, structure your tags as follows:<pre><code>1girl/1boy, character name \[series name\], [your prompt]</code></pre><h3 id="quality-tags">Quality Tags</h3>Add these tags at the start of your prompt:<ul><li>Positive Prompt 1:</li></ul><pre><code>masterpiece, best quality, newest</code></pre><ul><li>Positive Prompt 2:</li></ul><pre><code>masterpiece, best quality, amazing quality, newest</code></pre><h3 id="negatives">Negatives</h3>You can utilize these negative embeddings or prompts or tags:<ul><li>Negative Prompt 1:</li></ul><pre><code>bad quality, worst quality, lowres, jpeg artifacts, bad anatomy, bad hands, multiple views, signature, watermark, censored, sketch, flat color, ugly, fat, blurry eyes, wrinkled skin</code></pre><ul><li>Negative Prompt 2:</li></ul><pre><code>(lowres:1.2), (worst quality:1.4), (low quality:1.4), (bad anatomy:1.4), bad hands, multiple views, comic, jpeg artifacts, patreon logo, patreon username, web address, signature, watermark, text, logo, artist name, censored</code></pre><h3 id="recommended-inference-settings">Recommended Inference Settings</h3><ul><li>Sampling Steps: 26 - 30 steps</li><li>Sampler: Euler a</li><li>CFG Scale: 3.0 - 6.5</li><li>Hires.fix is not necessary (Per my case)</li><li>ADetailer is highly recommended</li></ul><h3 id="recommended-resolutions">Recommended Resolutions</h3>Square: 1024 x 1024Landscape/Panorama: 1152 x 896 / 1216 x 832 / 1344 x 768 / 1536 x 640Portrait: 896 x 1152 / 832 x 1216 / 768 x 1344 / 640 x 1536<h3 id="acknowledgments-and-thanks">💖 Acknowledgments &amp; Thanks</h3>This project would not have been possible without the groundbreaking work, innovative contributions, and comprehensive documentation provided by Stability AI, Novel AI, and the entire generative AI community.I am especially grateful for those who were with me from the beginning, starting from the Stable Diffusion 1.5 days up through Illustrious-XL, fueling my interest in generative text-to-image models. Particularly:<ol><li>My Significant Other</li><li><a target="_blank" rel="ugc" href="https://huggingface.co/OnomaAIResearch">OnomaAIResearch</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/cagliostrolab">Cagliostro Labs</a></li><li><a target="_blank" rel="ugc" href="https://civarchive.com/user/nukeai1106">nukeai1106</a></li><li><a target="_blank" rel="ugc" href="https://civarchive.com/user/Goofy_Ai">GoofyAI</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/raelina">Raelina</a></li><li><a target="_blank" rel="ugc" href="https://pixai.art/en/@dao0w0arts/artworks">DaoOwOarts</a></li><li><a target="_blank" rel="ugc" href="https://github.com/bmaltais/kohya_ss">Kohya_ss</a></li><li><a target="_blank" rel="ugc" href="https://www.seaart.ai/">SeaArt AI</a></li><li><a target="_blank" rel="ugc" href="https://pixai.art/">PixAI</a></li><li><a target="_blank" rel="ugc" href="https://moescape.ai/">Moescape AI</a></li><li><a target="_blank" rel="ugc" href="https://civarchive.com/">Civitai</a></li></ol>Thank you. Aeterna Opus is a reflection of this 'random bullshit go' philosophy.

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