(22/10/2026): v3.0 should be the final version for Anima. Next: MOSS Image <s>(aka. The greatest anime model that has ever been released.)</s>. <a target="_blank" rel="ugc" href="https://civarchive.com/models/3007506/rdbt-or-moss">Here</a>.<hr /><h2 id="rdbt-anima">RDBT [Anima]</h2>A general finetuned model, from a personal all-in-one dataset, mainly for digital art and drawings, focusing on lighting and textures, from wallpaper level digital art to 5-min sketch.Dataset contains ~10k images, handpicked by <s>professional</s> amateur artists. The criteria for evaluation are not visual appeal, but the drawing technique and the level of completion. Captioned by LLM.Some cover images look ridiculous; they're just for demonstration purposes for corner cases.Update log and version info: <a target="_blank" rel="ugc" href="https://civarchive.com/articles/30582">link</a>.Useful links:<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/2795449/rdbt-or-digital-art">RDBT | Digital Art</a>: My merged 16-step ckpt optimized for digital anime art. 4x faster. Easy to prompt.</li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/2364703/rdbt-or-anima-lora">RDBT | Original LoRA</a>: LoRA files for advanced users.</li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/2967964/16-step-acc-lora-or-anima">16-step Acc LoRA</a>: Style friendly, less AI slop, compared to the official Turbo.</li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/2874808/rdbt-or-160ke6-furry">RDBT | 160KE6 Furry</a>: Based on <a target="_blank" rel="ugc" href="https://civarchive.com/models/2700827">160kE6Anima</a> by @<a target="_blank" rel="ugc" href="https://huggingface.co/garaggge">garaggge</a>. 160kE6Anima "was trained on around 160k images from e621". It has extended knowledge and 3k+ style tags. Check its model page above for more info (list of styles, etc.).</li></ul><hr />Settings:<ul><li>Base version: CFG 4 and steps 24+. Euler.</li><li><s>Distilled version</s> (8s, 16s, discontinued): CFG: 1. Steps: 8 or 16. Euler.</li></ul>Prompt:Always specify @style in prompt, or use a style LoRA. This model does NOT provide overfitted default style (ignore prompt and is always active). You need to specify style in prompt, or use a style LoRA. This is a feature, not a bug. The dataset is big enough and model is not overfitted. Otherwise, you will get random/mixed style. Quality tags:You don't need quality tags. The dataset has higher quality than "masterpiece". Thus quality tags don't have effects. Omitting those redundant tokens allows LLM to pay more attention on other words.<hr /><h3 id="sharing-merges-using-this-model-is-not-allowed.">Sharing merges using this model is not allowed.</h3>This mode is a free and it will always be free. This "restriction" won't affect anyone. It's only aimed at those who steal others' models to sell.Known model thieves: <a target="_blank" rel="ugc" href="https://tensorhub.art/u/613019935106639991">NukeA.I</a> (selling this model behind paywall on tensorart).Because he is such a jerk I wrote a <a target="_blank" rel="ugc" href="https://civarchive.com/articles/31410/dev-story-rdbt-2">story</a> about it. Also contains a guide for trainers about "how to bake special trigger word into your model".

RDBT | Anima

Turbo (4-step dmd2)Fast as f*** boiiiii4-step dmd2, distilled on top of RDBT finetuned model. See the link above.Settings:<ul><li>Sampler: "euler_a" or "euler".</li><li>CFG scale: 1.</li><li>Steps: 4, 8, or 16. Scheduler: simple. Important: training timestamps are fixed. Other inference timestamps might not work.</li></ul>FYI: N-step dmd2 means the model can output an image without noise after N steps. It's not a mandatory fixed setting. It's the lower limit. Lower N = stronger distillation.This is a prove-of-concept version, to see what a 4-step dmd2 anime model looks like.First time doing 4-step dmd2, also first 4-step dmd2 anima model. I don't know what I'm doing and what to expect.Huge stability improvement, it even can render long text in 4 steps.If you want to compare, I've trained:8-step dmd2 <a target="_blank" rel="ugc" href="https://civitai.red/models/2364703?modelVersionId=2832699">https://civitai.red/models/2364703?modelVersionId=2832699</a>16-step dmd2 <a target="_blank" rel="ugc" href="https://civitai.red/models/2364703?modelVersionId=2860424">https://civitai.red/models/2364703?modelVersionId=2860424</a>

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