About this LoRA: This is a style LoRA trained on the artworks of Murakami Fumika (村上文郁), the main illustrator and character designer for Nihon Falcom's recent titles, including Trails of Cold Steel (Sen no Kiseki) series, Trails into Reverie, and Tokyo Xanadu.If you want to generate characters with that classic Falcom JRPG vibe—clean lines, distinctive eye shading, and detailed outfits—this LoRA is for you!Recommended Parameters:<ul><li>Trigger Word: sen_kiseki_style</li><li>LoRA Weight: <code>0.6 - 0.8</code> (Works best around 0.7 without overfitting)</li><li>Base Model: Illustrious</li><li>CFG Scale: 4.5-7</li><li>Sampler: <code>Euler a</code> or <code>DPM++ 2M Karras</code></li></ul>Prompting Tips: To get closer to the original game art style, you can add tags like: <code>simple background, white background, solo, character design, official art</code>.Note: This LoRA is for educational and personal sharing purposes only. Please do not use it for commercial purposes.<hr />关于这个 LoRA： 这是一个专门针对日本 Falcom 公司主力画师**村上文郁（Murakami Fumika）**的画风 LoRA。她负责了《闪之轨迹》系列、《创之轨迹》以及《东京迷城》等作品的核心人物设计与立绘。如果你想还原 Falcom 经典 JRPG 的美术风格——干净的平涂线条、极具辨识度的眼睛高光以及精美的服饰细节，这个 LoRA 会非常适合你！推荐使用参数：<ul><li>触发词： sen_kiseki_style</li><li>推荐权重（Weight）： <code>0.6 - 0.8</code>（推荐 0.7 左右，过高容易画面崩坏）</li><li>推荐底模： Illustrious。</li></ul>CFG Scale： 4.5-7<ul><li>采样器： <code>Euler a</code> 或 <code>DPM++ 2M Karras</code></li></ul>出图小贴士： 如果想最大程度还原游戏内立绘的感觉，建议在正向提示词中加入：<code>simple background, white background, solo, character design, official art</code>（简单背景，白底，单人，角色设计，官方艺术）。注：本模型仅供个人学习与交流分享，请勿用于商业用途。 Creator's Note: This is the very first LoRA I've ever created! There might be some minor bugs or quirks, but I really hope you enjoy using it. Also, this is an Illustrious-based model, so I highly recommend using Wai's base models for the best generation results. 这是我本人制作的第一个 LoRA！可能还会存在一些小 bug 或者不太稳定的地方，希望大家能够喜欢并多多包涵。另外，需要特别说明的是，这是一个**光辉系（Illustrious）**架构的模型，强烈推荐搭配 Wai 系列底模使用，出图效果最佳🤓

[Style][Falcom] 村上文郁 艺术风格  Murakami Fumika

About this LoRA:This is the Anima-based version of my Murakami Fumika (村上文郁) style LoRA — same artist, fresh foundation. She is the main illustrator and character designer for Nihon Falcom's recent titles, including the Trails of Cold Steel (*Sen no Kiseki*) series, Trails into Reverie, and Tokyo Xanadu.The trigger word and overall behavior are kept consistent with my previous Illustrious version, so if you've used the old LoRA, you can drop this one in with almost no prompt rewriting.Why an Anima version? What's improved?I retrained this LoRA on the brand-new Anima Base v1.0 (Cosmos-Predict2 architecture with a Qwen text encoder) and ran side-by-side tests against the Illustrious version using identical prompts. The Anima edition shows clear advantages in:- Multi-character compositions — handles 2–3 characters in the same scene much more cleanly. Feature bleeding between characters is dramatically reduced, and each character keeps their own coherence in group shots.- Dynamic poses and action — fight scenes, dramatic angles, jumping/running/swinging poses come out noticeably more natural and less stiff. The Illustrious version tended to lock into static "character design" poses; this one breathes.- Prompt adherence — Anima's Qwen text encoder parses complex prompts far better. Long descriptions, multiple objects, scene composition instructions all land more reliably.- Natural language support — you can now mix Danbooru tags with English sentences in the same prompt. Especially useful for atmosphere, lighting, and character interaction.Recommended Parameters:* Trigger Word: <code>sen_kiseki_style</code>* LoRA Weight: <code>0.7 – 1.0</code> (Anima generally wants slightly higher weights than Illustrious; sweet spot around 0.8)* **Base Model:** Anima Base v1.0 ⚠️ Do NOT use this LoRA on Illustrious / NoobAI / SDXL models — different architecture, completely incompatible.* CFG Scale: <code>4 – 5</code> (Anima needs lower CFG than Illustrious — 7 will overcook the image)* Sampler: <code>er_sde</code> (officially recommended for Anima) or <code>euler_a</code>* Steps: <code>30 – 50</code>Prompting Tips:For that classic Falcom official art look, the same tags still work:<code>simple background, white background, solo, character design, official art</code>For Anima specifically, follow the recommended prompt order: [quality tags], 1girl/1boy, [character], [series], sen_kiseki_style, [general tags]. [optional natural language description for scene/atmosphere] Feel free to mix tags and natural language — this is one of Anima's strengths over the Illustrious era.Note: This LoRA is for educational and personal sharing purposes only. Please do not use it for commercial purposes.Creator's Note: This is my first LoRA trained on the Anima base. Since Anima is a very new model and the training workflow is still being refined, there may be some quirks or bugs. Hope you enjoy it — generation shares, bug reports, and prompt examples all very welcome in the comments! :)) 关于这个 LoRA:这是我之前发布的村上文郁（Murakami Fumika）画风 LoRA 的 Anima 基模新版本——同一位画师,全新底子。她负责了《闪之轨迹》系列、《创之轨迹》以及《东京迷城》等 Nihon Falcom 近期作品的核心人物设计与立绘。触发词与整体行为和光辉版保持一致,用过老版本的朋友可以无痛迁移,几乎不用改提示词写法。为什么要做 Anima 版本?有什么优势?我在全新发布的 Anima Base v1.0(基于 Cosmos-Predict2 架构 + Qwen 文本编码器)上重新训练了这个 LoRA,并用相同的 prompt 和光辉版本做了对比测试。Anima 版本在以下几个方面有明显提升:- 多人构图 —— 处理同画面 2–3 个角色的能力强了一大截。角色之间的特征泄漏显著减少,即使在群像场景下每个角色也能保持独立性。- 动作和动态姿势 —— 战斗场面、戏剧性视角、跳跃/奔跑/挥剑等动作类构图,出图显著更自然,不再像光辉版那样容易锁死在"立绘"式的标准姿势。- 提示词跟随能力 —— Anima 的 Qwen 文本编码器对复杂 prompt 的解析能力是真的强。长描述、多物件、场景组合指令的响应都更可靠。- 自然语言支持 —— 现在可以把 Danbooru tag 和英文长句混着写,描述氛围、光照、角色互动尤其好用。推荐使用参数:* 触发词: <code>sen_kiseki_style</code>* 推荐权重 (Weight): <code>0.7 – 1.0</code>(Anima 整体需要的权重比光辉略高,推荐 0.8 左右)* **推荐底模:** Anima Base v1.0 ⚠️ 注意:本 LoRA 不能在光辉 / NoobAI / SDXL 系模型上使用,架构完全不同。* CFG Scale: <code>4 – 5</code>(Anima 需要的 CFG 比光辉低,7 会过曝)* 采样器: <code>er_sde</code>(Anima 官方推荐)或 <code>euler_a</code>* 步数: <code>30 – 50</code>出图小贴士:想还原 Falcom 官方立绘风格,这些 tag 依然有效:<code>simple background, white background, solo, character design, official art</code>Anima 专属建议:按推荐 prompt 顺序排列:quality tags], 1girl/1boy, [character], [series], sen_kiseki_style, [general tags]. [optional natural language description for scene/atmosphere] 可以自由混合 tag 和自然语言——这是 Anima 相对光辉时代最大的进步之一。注: 本模型仅供个人学习与交流分享,请勿用于商业用途。作者的话: 这是我第一个 Anima 基模的 LoRA。Anima 模型刚发布不久,LoRA 训练流程也还在摸索中,可能还会存在一些小 bug 或不稳定的地方。欢迎大家下载试用,有任何 bug、prompt 示例或建议都可以在评论区告诉我:))

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