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Aeterna Opus

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Aeterna Opus - AI Model cover image
Hochgeladen am
29.06.2026, 08:16
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Beschreibung

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.Model DetailsDeveloped by: NeverWinter13Model type: Diffusion-based text-to-image generative modelLicense: CreativeML Open RAIL++-MCore Base: SDXL Architecture (Ars Divina v7.2.4a x Indominus Rex XL Backbone)Training Methodology: Cyclical continuous pre-trainingPrimary Focus: High-tier illustration, dynamic character staging, advanced multi-concept prompt adherence, and extreme structural stability.🎨 Generation Guidelines & RecommendationsThanks 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.Generation Guidelines & RecommendationsThanks 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.Prompting GuideYou can utilize standard descriptive natural language sentences or structured tags. For optimal character styling inspired by CagliostroLab's standards, structure your tags as follows:1girl/1boy, character name [series name], [your prompt]Quality TagsAdd these tags at the start of your prompt:Positive Prompt 1:masterpiece, best quality, newestPositive Prompt 2:masterpiece, best quality, amazing quality, newestNegativesYou can utilize these negative embeddings or prompts or tags:Negative Prompt 1:bad quality, worst quality, lowres, jpeg artifacts, bad anatomy, bad hands, multiple views, signature, watermark, censored, sketch, flat color, ugly, fat, blurry eyes, wrinkled skinNegative Prompt 2:(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, censoredRecommended Inference SettingsSampling Steps: 26 - 30 stepsSampler: Euler aCFG Scale: 3.0 - 6.5Hires.fix is not necessary (Per my case)ADetailer is highly recommendedRecommended ResolutionsSquare: 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💖 Acknowledgments & ThanksThis 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:My Significant OtherOnomaAIResearchCagliostro Labsnukeai1106GoofyAIRaelinaDaoOwOartsKohya_ssSeaArt AIPixAIMoescape AICivitaiThank you. Aeterna Opus is a reflection of this 'random bullshit go' philosophy.

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