<h2 id="rdbt-anima">RDBT [Anima]</h2>Personal finetuned model, aiming for better aesthetic, less anomaly.I use it as a clean starting point to stack more style LoRAs.See <a target="_blank" rel="ugc" href="https://civarchive.com/articles/30582">this page</a> for update log. See <a target="_blank" rel="ugc" href="https://civarchive.com/models/2364703">this page</a> for LoRA version.All cover images are "raw" output, 1024px, no editing/upscale etc. Metadata included.Sharing merges using this model is not allowed. It has special trigger words. There is no false positive. Known model thieves: <a target="_blank" rel="ugc" href="https://tensorhub.art/u/613019935106639991">NukeA.I</a> (closed-weight on tensorart)<hr /><h3 id="usage:">Usage:</h3>Settings:CFG scale: 1~4. This model has been guidance distilled for better quality. You can disable CFG (CFG 1) and run the model 2x faster. Cover images are without CFG for demonstration.PromptSpecific style is required! This model does not provide a default style. You should always prompt specific style. Or use a style LoRA. Otherwise, you will get random/mixed style. This is a feature, not a bug. I use this model as a starting point to stack more style LoRA.(v0.32+) There are some "roughly classified" trigger words, they are trained so they have effect, but they are not "specific style":<ul><li>@anime sketch: Low complexity. Rough outlines.</li><li>@digital anime illustration: Typical "anime". Clear and fine outlines. General complexity.</li><li>@digital art: More complex lighting, textures than typical "anime".</li><li>@cinematic digital art: More lighting, postprocess effects, semi-realistic, etc. A little bit chaotic.</li></ul>Quality tags:It's recommended to omit all the quality tags, or just keep the "masterpiece". Quality tags have been reinforced during distillation. Thus they don't have noticeable effects. Same as negative tags. If you use cfg, there is no need to dump "score_1, blurry, worst quality, jpeg artifacts, extra arms,... x100 words" in your negative prompt. Those things have been distilled out.Omitting those redundant tokens also allows LLM to better focus its attention on other words.<hr />Training:Anima pretrained base ckpt -&gt; 5k general images finetuning -&gt; 500 highest aesthetic images finetuning -&gt; guidance distillation.All captions are NL from Google Gemini.Optimizer: adamw, constant lr 0.00002.LoRA rank/alpha 24.Guidance distillation target CFG 4.Block 0-2 and adaln linear layers are skipped.<hr /><h3></h3>

RDBT | Anima

rdbtAnima_b1V0371.safetensors

b1 v0.37.1

b1 v0.35

v0.32.b

v0.32

v0.29

v0.27

v0.25

p3 v0.24f 4-step dmd2

p3 v0.24f dmd2 turbo

p3 v0.24f 16-step dmd2

p1 v0.20f cfg

p1 v0.19f cfg b

p1 v0.12f cfg

fp16 patch v1.2

fp16 patch

p1 fp8

Files with SHA256: 14536a42140b89ddf96d3401170576bd72053be5f2948a355b798c720b530083