CivArchive
    moss image style。lora-yomi - v1.0
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    Description

    # YOMI Style — MOSS-Image LoRA

    A style LoRA for MOSS-Image, trained on the SFT checkpoint (the

    checkpoint most people actually generate with), so there is no

    train/inference distribution gap.

    ## Trigger word

    > *yomi**

    ## Recommended prompt

    yomi, bold painterly brushstrokes, vibrant high-contrast colors,

    chunky color blocking, dynamic composition, iridescent light leaks,

    glowing rim light, 1girl, white background, looking at viewer

    The style follows a modern theatrical-anime look: strong linework

    dissolved into colour blocks, high-contrast saturated palettes, and

    specular highlights with iridescent light leaks.

    ## Recommended settings

    | Setting | Value |

    |---|---|

    | Base model | MOSS-Image SFT (bf16) |

    | LoRA strength | 0.8 – 1.0 |

    | Sampler | Euler |

    | Scheduler | simple |

    | Steps | 50 |

    | CFG | 3.0 |

    | Shift | 5.0 |

    | Negative-branch skip | layer 22 |

    | Resolution | 1024×1024 or higher |

    Negative prompt (only active above CFG 1):

    worst quality, bad anatomy, watermark, jpeg artifact

    Tip: with the 8-step DMD speed LoRA loaded at 0.7 and CFG 1,

    the LoRA still works but the style is noticeably softer. Use CFG 3

    when style fidelity matters.

    ## Training details

    | Item | Value |

    |---|---|

    | Base | MOSS-Image SFT bf16 |

    | Trainer | Fizgig v8.5.0 (open source) |

    | Network | LoRA, attn + MLP |

    | Rank / Alpha | 4 / 4 |

    | Learning rate | 3e-4, constant with 20-step warmup |

    | Optimizer | AdamW |

    | Epochs / Steps | 20 / 1320 |

    | Batch size | 1 |

    | Resolution | 768 (0.59 MP) |

    | Precision | bf16 |

    | EMA | 0.98 |

    | Dataset | 66 images, single style |

    | Captions | WD14 content tags + fixed style description |

    | Text encoder | frozen (DiT-only LoRA) |

    | Output | 18.2 MB safetensors, 246 modules |

    Notes:

    - Trained on SFT, not Base — it patches the model you are actually

    loading, so strength behaves predictably.

    - DiT-only adapter: no CLIP/text-encoder weights are included.

    - Trained at 0.59 MP; it generalises upward but 1024+ gives the best

    line quality.

    - Works with the regular ComfyUI LoRA loader for MOSS-Image.

    FAQ

    LORA
    MOSS Image

    Details

    Downloads
    186
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/23/2026
    Updated
    11/7/2026
    Deleted
    -

    Files

    yomistyle_v3.safetensors

    Mirrors

    HuggingFace (1 mirrors)
    CivitAI (1 mirrors)

    yomistyle_v3-000016.safetensors

    Mirrors