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    Yoneyama Mai | 米山舞 - v1.0
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    # Yoneyama Mai | 米山舞

    > Ethereal anime aesthetic for Illustrious-XL | Trigger: yoneyama_mai | English prompts only

    ## ✨ Overview

    This LoRA is fine-tuned on Illustrious-XL v0.1 to replicate the signature ethereal digital anime style inspired by artist Yoneyama Mai. It excels at generating dreamy, soft-toned illustrations with delicate linework, atmospheric lighting, and pastel color harmony.

    ## 🎭 Style Highlights

    - 🌸 Pastel Macaron Palette: Low-saturation tones with smooth gradient transitions

    - 💫 Ethereal Glow: Soft lighting, light diffusion, and dreamy ambient effects

    - 👁️ Delicate Rendering: Refined linework, expressive eyes, and subtle character details

    - 🌌 Abstract Composition: Floating particles, bokeh backgrounds, subject-focused framing

    ## 🔑 Trigger Word

    - Primary: yoneyama_mai

    → Place at the beginning of your prompt, recommended weight: 1.0

    ## 🎨 Prompt Template

    yoneyama_mai, digital art, anime style, soft lighting, ethereal, pastel colors, [your character/scene description]

    ## ⚙️ Recommended Settings

    | Parameter | Value | Note |

    |-----------|-------|------|

    | Base Model | Illustrious-XL v0.1 | Required — not tested on other XL variants |

    | Resolution | 1024x1024 | SDXL native resolution; other official sizes supported |

    | Sampler | DPM++ 2M Karras | Best for detail fidelity & sharp linework |

    | Sampler | Euler a | Preferred for softer, more aesthetic/painterly results |

    | CFG Scale | 6.5 ~ 7.5 | >8 may overfit; <6 weakens style influence |

    | Steps | 25 ~ 30 | Balanced quality & inference speed |

    | LoRA Weight | 0.8 ~ 1.0 | Full strength recommended for pure style transfer |

    ## 💡 Pro Tips

    - 🔍 More Details: Use DPM++ 2M Karras + CFG 7.0 for crisp linework and fine features

    - 🎨 More Aesthetic: Try Euler a + slightly lower CFG (6.5) for dreamy, artistic vibes

    - 🧩 ControlNet Ready: Compatible with lineart/depth ControlNets for pose/structure control (no specific preset required)

    - 🌐 English Only: Optimized for English prompts; other languages may reduce style consistency

    - 📐 Resolution Matters: Stick to 1024x1024 or SDXL-native aspect ratios to avoid distortion

    ## ⚠️ Limitations & Usage Notes

    - Trained on 20 Danbooru-sourced images with auto-generated tags (JoyCaption); manual curation minimal

    - Hands, text, and complex structures may require post-processing or ControlNet assistance

    - Avoid mixing with conflicting keywords: photorealistic, 3d render, oil painting, ugly, bad

    - Best for single-character illustrations; multi-character or complex scenes may have limited generalization

    - 🔒 Personal Research Use Only — Commercial use, artist impersonation, or sensitive content generation is strictly prohibited

    ## 🔄 Future Plans

    Potential updates may include:

    - Compatibility with other Illustrious-XL variants

    - Pony diffusion model support

    - Expanded dataset for improved multi-scene generalization

    ---

    Model fine-tuned with LoRA (dim=16, alpha=8) on Illustrious-XL v0.1 | fp16 precision | English prompts optimized

    Description

    - First public version fine-tuned on Illustrious-XL v0.1

    - 20-image training set (Danbooru source) with JoyCaption auto-tagging

    - Specialized in ethereal anime style: pastel colors, soft lighting, delicate linework, abstract backgrounds

    - Trigger word: yoneyama_mai (English prompts only)

    - Recommended: 1024x1024 resolution, CFG 6.5-7.5, 25-30 steps

    - Sampler guidance: DPM++ 2M Karras for detail | Euler a for aesthetic softness

    - ControlNet compatible (lineart/depth), no preset required

    - 🔒 Personal research use only — non-commercial license

    LORA
    Illustrious

    Details

    Downloads
    0
    Platform
    SeaArt
    Platform Status
    Available
    Created
    4/24/2026
    Updated
    4/24/2026
    Deleted
    -

    Files

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.