Animagine XL 3.1
| Property | Value |
|---|---|
| Developer | Cagliostro Research Lab |
| License | Fair AI Public License 1.0-SD |
| Base Model | Animagine XL 3.0 |
| Training Dataset | 873,504 images |
What is Animagine XL 3.1?
Animagine XL 3.1 is an advanced text-to-image diffusion model specifically designed for generating high-quality anime-style artwork. Built upon Stable Diffusion XL architecture, it represents a significant improvement over its predecessor with enhanced hand anatomy, better concept understanding, and refined aesthetic generation capabilities.
Implementation Details
The model was trained on 2x A100 80GB GPUs for approximately 15 days, utilizing a three-stage training process including pretraining and two finetuning stages. It employs sophisticated techniques like Cosine Annealing Warm Restart scheduling and adaptive learning rates to achieve optimal results.
- Supports multiple aspect ratios from 1024x1024 to 1536x640
- Implements specialized aesthetic tagging system
- Uses advanced quality modifiers for better output control
- Incorporates year-specific style generation capabilities
Core Capabilities
- High-quality anime character generation with improved anatomical accuracy
- Advanced prompt interpretation using Danbooru-style tags
- Multi-aspect ratio support for various image dimensions
- Refined aesthetic control through specialized tagging system
- Enhanced hand and facial feature rendering
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its sophisticated three-stage training process, improved hand anatomy rendering, and advanced aesthetic classification system using Vision Transformer technology.
Q: What are the recommended use cases?
The model excels at generating high-quality anime-style artwork, character illustrations, and scenes. It's particularly suitable for artists, content creators, and anime enthusiasts who need detailed control over their generated images.
