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Arcane Style

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Updated: Oct 25, 2026

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Type
LoRA
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443

114

325

Reviews
Published

Oct 25, 2026

Base Model

MOSS Image

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AutoV2A3AB830004
c09_c09_b_4202.png

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。