SD_Photoreal_Merged_Models
| Property | Value |
|---|---|
| Author | deadman44 |
| License | CC0-1.0 |
| Type | Text-to-Image |
| Framework | Stable Diffusion |
What is SD_Photoreal_Merged_Models?
SD_Photoreal_Merged_Models is a specialized Stable Diffusion model focused on generating highly photorealistic images of Japanese subjects, particularly optimized for portraiture. The model is built upon a merged dataset of over 5,000 carefully curated images, resulting in exceptional quality for facial details and natural lighting effects.
Implementation Details
The model comes in multiple variants including El Zipang, El Zipang K, and El Zipang LL, each optimized for different use cases. It uses advanced merging techniques with base models like Anything4.5 and includes specific optimizations for LoRA compatibility.
- Supports multiple samplers: UniPC, DPM++ (2M/SDE) Karras, DDIM
- Recommended steps: 10-24
- Optimal CFG scale: middle-low range
- Compatible with vae-ft-mse-840000-ema-pruned
Core Capabilities
- Exceptional photorealistic portrait generation
- Superior facial detail and skin texture rendering
- Natural lighting and environmental integration
- Advanced pose handling and composition
- LoRA compatibility for style customization
Frequently Asked Questions
Q: What makes this model unique?
This model specializes in creating highly photorealistic Japanese portraits with exceptional attention to facial details, skin textures, and natural lighting. Its merged architecture from 5000+ images provides consistent, high-quality results with minimal negative prompting required.
Q: What are the recommended use cases?
The model excels at generating portrait photography, particularly of Japanese subjects. It's ideal for creating realistic headshots, environmental portraits, and fashion-style images with natural lighting and authentic facial features.
