MiaoMiao dcus YNN 是一款经过精细训练的高质量风格 LoRA 模型，旨在为生成画面带来更加稳定、清晰且富有表现力的视觉风格。
本模型在人物塑造、线条表现、色彩层次以及整体氛围控制方面具有良好的表现，能够有效提升作品的完成度与风格统一性。无论是角色立绘、半身肖像、封面式构图，还是具有情绪表达与氛围感的艺术插画，都能获得自然、细腻且富有质感的生成效果。
该模型适用于多种风格化插画创作场景，兼具良好的泛化能力与实用性，能够在保留主体特征的基础上增强画面的艺术表现与细节完成度，是一款适合日常创作与高质量输出的实用型 LoRA 模型。
MiaoMiao dcus YNN is a finely trained high-quality style LoRA designed to deliver more stable, clean, and expressive visual results.
It performs well in character rendering, line quality, color layering, and overall atmosphere control, effectively improving both image polish and stylistic consistency. Whether used for character illustrations, half-body portraits, cover-style compositions, or mood-driven artwork, it can produce natural, refined, and visually rich outputs.
The model is suitable for a wide range of stylized illustration workflows, offering solid versatility and practical usability while enhancing artistic presentation and detail quality without compromising the identity of the main subject.
⚙️ Recommended Parameters / 推荐参数设置
| Parameter (参数) | Value / 设置值 |
|---|---|
| LoRA Weight <br> (LoRA 权重) | 0.8 ~ 1.0 <br> (建议从 0.8 开始尝试 / Recommended starting at 0.8) |
| Sampler <br> (采样器) | Euler a / DPM++ 2M Karras / DPM++ SDE |
| Steps <br> (迭代步数) | 20 ~ 30 |
| CFG Scale <br> (提示词相关性) | 5.5 -6.0 |
| Resolution <br> (推荐分辨率) | 512x768 / 768x1152 / 832x1216 |
✨ High-Res Fix Settings / 高清修复设置
- Upscale by (放大倍数): 1.5 ~ 2.0
- Hires Steps (重绘步数): 10
- Upscaler (放大算法): 4x-UltraSharp / R-ESRGAN 4x+
- Denoising Strength (重绘幅度): 0.3
- (建议保持中低幅度重绘，以在增强细节的同时维持整体风格稳定性与画面完整度 / Keep denoising at a moderate-low level to enhance details while preserving overall style stability and image integrity.)