Note: the merge has a slightly more realistic tendency than <a target="_blank" rel="ugc" href="https://civarchive.com/models/2458426/anima?modelVersionId=3263843">turbo v1.1</a>. Not the goal (goal was speed),<hr /><h2 id="settings">Settings</h2><span style="color:rgb(249, 250, 251);font-family:Menlo, Monaco, Consolas, &quot;Cascadia Mono&quot;, &quot;Ubuntu Mono&quot;, &quot;DejaVu Sans Mono&quot;, &quot;Liberation Mono&quot;, &quot;JetBrains Mono&quot;, &quot;Fira Code&quot;, Cousine, &quot;Roboto Mono&quot;, &quot;Courier New&quot;, Courier, sans-serif, system-ui;font-size:12px;line-height:18px">text<pre><code>Steps: 4 (design point)
 6 if you need cleaner hands / fingers
CFG: 1.0 for speed
 1.0+ if you don't care about speed
Sampler: euler a + simple (benchmarked)</code></pre>CFG above 1.0 doubles cost — it runs a second forward pass per step. Worth it on a fast card, not on a slow one.<hr />Main file is BF16 if you just want the reference weights.Note: INT8 / FP8 / GGUF files need a loader that supports them. Tested in ComfyUI — other UIs may not load the quantised formats.<hr /><h2 id="measured-performance">Measured performance</h2>RTX 5060 Ti — 4 steps, CFG 1.0| Variant | Sampling | Total exec | Size ||---|---|---|---|| INT8 ConvRot | 2.95 it/s | 2.32 s | ~2.18 GB || INT8 | 2.97 it/s | 2.39 s | ~2.18 GB || FP8 (e4m3fn) | 2.75 it/s | 2.48 s | ~2.18 GB || BF16 (reference) | 2.27 it/s | 2.74 s | ~4.18 GB || FP16 | 1.99 it/s | 2.89 s | ~4.18 GB || GGUF Q8 | 2.02 it/s | 2.87 s | ~2.22 GB || GGUF Q5 (not published) | 1.45 it/s | 6.93 s | ~1.44 GB |Q5 tested, not published — dequant penalty isn't worth the slot next to Q8.1660 Ti — pending

Anima Turbo 4S + Quant Pack

animaTurbo4SQuant_v10_bf16.safetensors

animaTurbo4SQuant_v10_3219436.safetensors

Files with SHA256: 088922574a0f99443d2381fd80e902a516ea56fc47242999aa23c56376e1b56f