# Zanshou-kin(残照金) - z-image Satoshi Urushihara Style---## 简介"残照金"这个名字是为了致敬日本漫画黄金时代的大师们，意指"黄金时代的余晖"，旨在重现一些我个人喜爱的经典漫画家的独特笔触。本模型专注于复刻**漆原智志（Satoshi Urushihara）**大师的标志性画风——那令人着迷的80-90年代黄金时代气息的光影表现。---## 特点- 经典复刻：高度还原漆原智志的绘画风格- 光影魅力：独特的高光处理与柔和的色彩过渡- 复古气息：浓郁的80-90年代日本动画黄金时代风格---## 使用建议| 参数 | 推荐设置 ||------|----------|| 底模 | z-image || LoRA权重 | 0.65 - 0.85 || 采样器 | Euler || 调度器 | Simple || Steps | 8 || CFG | 1.0 |### 高清放大设置| 参数 | 推荐设置 ||------|----------|| 缩放方式 | Latent || 缩放比例 | 1.5x || 采样器 | Euler Ancestral || 调度器 | Beta || Steps | 8 || CFG | 1.5 || Denoise | 0.60 |---## 推荐关键词<code>1girl, solo, retro anime style, 80s anime, 90s anime, sci-fi, mecha, detailed lighting, high contrast, glossy skin</code>---## 注意事项- 本模型基于 z-image 底模训练，请确保使用正确的底模- 低CFG值（1.0-1.5）效果最佳，这是z-image的特性---## 未来展望计划将残照金系列的其他旧版模型陆续迁移至 z-image 平台，敬请期待后续更新。欢迎大家积极返图交流！---# English Version## IntroductionThe name "残照金" (Zanshou-kin) is a tribute to the masters of Japan's golden age of manga, meaning "the afterglow of the golden era." It aims to recreate the unique brushstrokes of classic manga artists I personally admire.This model focuses on replicating the iconic style of Satoshi Urushihara — the mesmerizing the golden age of 80s-90s anime.## Features- Classic Recreation: Faithfully reproduces Satoshi Urushihara's distinctive art style- Lighting Magic: Unique highlight treatment with smooth color transitions- Vintage Charm: Rich 80s-90s Japanese anime golden age atmosphere## Usage Recommendations| Parameter | Recommended Setting ||-----------|---------------------|| Base Model | z-image || LoRA Weight | 0.65 - 0.85 || Sampler | Euler || Scheduler | Simple || Steps | 8 || CFG | 1.0 |### Upscale Settings| Parameter | Recommended Setting ||-----------|---------------------|| Upscale Method | Latent || Scale Factor | 1.5x || Sampler | Euler Ancestral || Scheduler | Beta || Steps | 8 || CFG | 1.5 || Denoise | 0.60 |## Recommended Keywords<code>1girl, solo, retro anime style, 80s anime, 90s anime, sci-fi, mecha, detailed lighting, high contrast, glossy skin</code>## Notes- This model is trained on the z-image base model — please ensure you're using the correct base- Low CFG values (1.0-1.5) work best, which is characteristic of z-image## Future OutlookPlanning to gradually migrate other legacy models from the Zanshou-kin series to the z-image platform. Stay tuned for future updates! Feedback and image sharing are welcome!

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