CivArchive
    Anima Turbo 4S + Quant Pack - v1.0
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    Note: the merge has a slightly more realistic tendency than turbo v1.1. Not the goal (goal was speed),


    Settings

    text

    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)

    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.


    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.


    Measured performance

    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

    Description

    Checkpoint
    Anima

    Details

    Downloads
    64
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/17/2026
    Updated
    9/17/2026
    Deleted
    -

    Files

    animaTurbo4SQuant_v10_3219436.safetensors

    animaTurbo4SQuant_v10_fp16.safetensors

    Mirrors

    animaTurbo4SQuant_v10_bf16.safetensors

    Mirrors

    animaTurbo4SQuant_v10.gguf

    Mirrors

    CivitAI (1 mirrors)

    animaTurbo4SQuant_v10_3219438.safetensors

    animaTurbo4SQuant_v10_fp8.safetensors

    Mirrors