M

Moefussion

Developed by LoliRimuru
A diffusion model focused on improving the quality of moe character generation, supporting high-resolution image creation with optimized composition and anatomical structure representation.
Downloads 4,636
Release Time : 2/28/2023

Model Overview

This project aims to address the shortcomings of existing models in moe character generation. Through multiple version iterations, it optimizes generation quality, supports various styles and resolutions, and is particularly suitable for anime-style image creation.

Model Features

Moe Character Optimization
Specifically optimized for the anatomical structure and style of lolita/moe characters, generating superior results compared to general-purpose models.
High-Resolution Support
Version 1.3 supports resolutions up to 1536x1536 while maintaining detail quality.
Multi-Style Sub-Versions
Offers two variants: II version (high control) and IIZ version (default style), catering to different creative needs.
Composition Optimization
Improved prompt adherence and multi-character generation, enhancing anatomical coherence.

Model Capabilities

Anime-style image generation
High-resolution image generation
Specialized moe character generation
Multi-style support
Complex composition handling

Use Cases

Anime Creation
Character Design
Generate concept art for moe anime characters
High-quality full-body character portraits with detailed clothing and facial expressions
Scene Creation
Generate anime scenes with complex backgrounds
Harmonious character and background combinations, such as cherry blossom scenes under the night sky
Illustration Assistance
Line Art Coloring
Generate color schemes for anime line art
Style-consistent color application that preserves original line characteristics
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase