CivArchive
    Arcane Style - v1.0 Moss Base
    NSFW
    Preview 146752041
    Preview 146756725
    Preview 146756740
    Preview 146756756
    Preview 146756765

    Arcane Style LoRA — MOSS-Image

    English

    What this is

    Arcane Style is a style LoRA for MOSS-Image, trained to reproduce the painterly, high-contrast look of the Arcane animated series: thick oil-brush texture, hard-edged colour blocking, saturated violet / teal / amber palettes, and cinematic poster composition.

    It is a style LoRA, not a character LoRA. It does not lock a face — use it on any subject and it paints them in this language.

    Important: use it on the Base model

    This LoRA was trained on MOSS-Image Base. It performs noticeably better on Base than on SFT — SFT has been aesthetic-tuned, and that post-training dilutes the LoRA's style signal. Train on Base, use it on Base.

    Two ways to run it — and I recommend the fast one

    There are two working configurations. Both give good results; the second is far faster and loses very little quality.

    ① Default — 50 steps, no speed LoRA. The straightforward path. Nothing extra to download.

    ② Recommended — 8 steps with the DMD speed LoRA. Pair this LoRA with the 8-step distillation of the Base model:

    lodestones/MOSS-Image-Base-8-steps-dmd

    It stacks cleanly on top of this LoRA. A 2.5 MP image renders in roughly 12 seconds, with only a very small quality difference — this is how every sample here was made.

    Config ① — default (50 steps)

    • Base model: MOSS-Image Base (not SFT)

    • Sampler: euler

    • Scheduler: simple

    • Steps: 50

    • CFG: 3.0 – 4.0

    • Shift: 5.0

    Config ② — recommended (8 steps, with the speed LoRA)

    • Base model: MOSS-Image Base (not SFT)

    • Sampler: euler

    • Scheduler: simple

    • Steps: 8

    • CFG: 1.0

    • Shift: 5.0

    • Speed LoRA: MOSS-Image-Base-8-steps-dmd at strength 1.0

    Both configs

    • This LoRA's weight: 0.6 – 1.0 — 1.0 is the sweet spot; past ~1.2 colours start to over-saturate

    • Negative prompt: worst quality, bad anatomy, watermark, jpeg artifact

    • Resolution: 1–2.5 MP works well. 16-pixel multiples only.

    Aspect ratio

    Pick by subject, the way you would for any real picture:

    • Portrait / character work → vertical, 3:4 (e.g. 1376×1840)

    • Environment / story / wide scene → horizontal, 16:9 (e.g. 2048×1216)

    No trigger word

    This is an unconditional style LoRA. There is no trigger phrase — just load it and adjust the weight. The style becomes the default rendering.

    What it is good at

    • Cinematic character portraits with dramatic lighting

    • Poster-like graphic compositions and bold typography

    • Story beats: confrontation, tension, quiet moments

    • Environments and wide establishing shots

    • Chinese text rendering — MOSS-Image handles CJK typography unusually well, so Chinese poster work is a genuine strength here

    How it was trained

    • 168 images, captioned in plain natural language (content only, no style words — so the style is learned as the model's default, not as a prompt trigger)

    • MOSS-Image Base, rank 16 / alpha 16

    • 50 epochs, learning rate 5e-5, AdamW, EMA off

    • Fixed clean-end share 40% to bias training toward layout and composition

    • Trained with the Fizgig trainer

    Sample metadata

    Every image uploaded here carries its full ComfyUI workflow and Civitai-compatible generation parameters embedded in the PNG. Hit Remix on any of them to load the exact graph that made it.


    中文

    这是什么

    Arcane Style 是一个用于 MOSS-Image 的风格 LoRA,用来复刻《双城之战》那种厚涂油画质感、硬边色块、高饱和紫/青/琥珀色调,以及电影海报式的构图。

    它是风格 LoRA,不是人物 LoRA。它不锁定某张脸——你可以用它画任何主体,它会用这套绘画语言去表现。

    重要:请在 Base 模型上使用

    这个 LoRA 是用 MOSS-Image Base 训练的,在 Base 上的表现明显好于 SFT。SFT 经过美学后训练,会稀释 LoRA 的风格信号。Base 训练,Base 使用。

    两种跑法 —— 我更推荐快的那种

    有两种可用的配置。效果都不错,第二种快得多,而画质损失很小。

    ① 默认 —— 50 步,不加速。 最直接的用法,不需要额外下载任何东西。

    ② 推荐 —— 8 步 + DMD 加速 LoRA。 搭配 Base 的 8 步蒸馏版:

    lodestones/MOSS-Image-Base-8-steps-dmd

    它与本 LoRA 可以干净地叠加。2.5 MP 的图约 12 秒一张,画质只有很小的差异——这里所有样图都是这么出的。

    推荐参数

    配置 ① —— 默认(50 步)

    • 底模: MOSS-Image Base(不要用 SFT)

    • 采样器: euler

    • 调度器: simple

    • 步数: 50

    • CFG: 3.0 – 4.0

    • Shift: 5.0

    配置 ② —— 推荐(8 步 + 加速 LoRA)

    • 底模: MOSS-Image Base(不要用 SFT)

    • 采样器: euler

    • 调度器: simple

    • 步数: 8

    • CFG: 1.0

    • Shift: 5.0

    • 加速 LoRA: MOSS-Image-Base-8-steps-dmd,权重 1.0

    两种配置通用

    • 本 LoRA 权重: 0.6 – 1.0,1.0 是甜点;超过约 1.2 色彩会开始过饱和

    • 负向提示词: worst quality, bad anatomy, watermark, jpeg artifact

    • 分辨率: 1–2.5 MP 都不错,边长必须是 16 的倍数

    画幅建议

    按题材选择,就像真实拍摄那样:

    • 人像/角色 → 竖幅 3:4(如 1376×1840)

    • 环境/故事/宽景 → 横幅 16:9(如 2048×1216)

    没有触发词

    这是一个无条件风格 LoRA。没有触发词——加载后直接调权重即可,风格就是默认渲染。

    它擅长什么

    • 电影感的角色肖像与戏剧性打光

    • 海报式的图形化构图与粗体排版

    • 故事性瞬间:对峙、紧张、静默的时刻

    • 环境与宽阔的场景建立镜头

    • 中文字体渲染——MOSS-Image 对中日韩文字的处理异常出色,中文海报是这个 LoRA 的一个真实优势

    训练方式

    • 168 张图,用自然语言打标(只描述内容、不含风格词——这样风格会被学成模型的默认渲染,而不是需要提示词触发的开关)

    • MOSS-Image Base,rank 16 / alpha 16

    • 50 个 epoch,学习率 5e-5,AdamW,关闭 EMA

    • Clean-end share 固定 40%,让训练偏向布局与构图

    • 使用 Fizgig 训练器

    样图信息

    这里上传的每张图都在 PNG 中内嵌了完整的 ComfyUI 工作流和 Civitai 兼容的生成参数。任意一张点 Remix 就能载入生成它的完整节点图。

    Description

    FAQ

    LORA
    MOSS Image

    Details

    Downloads
    430
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/25/2026
    Updated
    11/5/2026
    Deleted
    -

    Files

    arcane_style_v1.safetensors

    Mirrors

    CivitAI (1 mirrors)