Cool Japan Diffusion 2.1.0
| Property | Value |
|---|---|
| License | CreativeML Open RAIL++-M-NC License |
| Architecture | Latent Diffusion Model with OpenCLIP-ViT/H |
| Paper | High-Resolution Image Synthesis With Latent Diffusion Models |
| Training Data | 600k VAE images, 800k U-Net pairs |
What is cool-japan-diffusion-2-1-0?
Cool Japan Diffusion 2.1.0 is a specialized fine-tuned version of Stable Diffusion designed specifically for generating anime, manga, and Japanese cultural content. The model has been trained on a carefully curated dataset of 600,000 images for VAE and 800,000 image pairs for U-Net, explicitly excluding unauthorized content from sources like Danbooru.
Implementation Details
The model utilizes a Latent Diffusion architecture combined with OpenCLIP-ViT/H for text-to-image generation. Training was conducted on RTX 3090 hardware using the AdamW optimizer with a batch size of 1.
- Fine-tuned VAE and U-Net components
- Supports both Web UI and Diffusers pipeline implementation
- Implements EulerDiscreteScheduler for image generation
Core Capabilities
- High-quality anime and manga-style image generation
- Japanese cultural elements representation
- Support for both Japanese and English prompts
- Optimized for artistic and creative applications
Frequently Asked Questions
Q: What makes this model unique?
This model specifically focuses on Japanese cultural content generation while maintaining ethical training practices by excluding unauthorized content. It includes specific restrictions for commercial use to protect the creative industry.
Q: What are the recommended use cases?
The model is suitable for educational purposes, research development, AI art contests (with proper disclosure), and personal creative expression. Commercial use is restricted except for specific cases like news reporting about AI technology.
