Realistic Vision V1.4
| Property | Value |
|---|---|
| Author | SG161222 |
| License | CreativeML OpenRAIL-M |
| Model Type | Text-to-Image |
| Framework | Stable Diffusion |
What is Realistic_Vision_V1.4?
Realistic Vision V1.4 is a specialized text-to-image model built on the Stable Diffusion framework, designed to generate highly photorealistic images with particular emphasis on human features and skin detail. This model has gained significant traction with over 11,000 downloads and 340 likes, demonstrating its effectiveness in the AI image generation community.
Implementation Details
The model utilizes the Stable Diffusion pipeline with specific optimizations for photorealistic output. It recommends using Euler A or DPM++ 2M Karras samplers with 25 steps, and a CFG Scale between 3.5 and 7. For optimal results, it incorporates Hires.fix with Latent upscaler settings.
- Specialized prompt template for optimal generation
- Enhanced skin detail rendering (1.2x multiplier)
- Optimized for 8K UHD output
- Film grain and DSLR-quality emulation
Core Capabilities
- High-detail skin and facial feature generation
- Professional photography emulation
- Fujifilm XT3-style output characteristics
- Effective upscaling with preserved quality
Frequently Asked Questions
Q: What makes this model unique?
The model excels in creating highly detailed, photorealistic images with particular strength in rendering human subjects. It includes specific optimizations for skin detail and professional photography-like output.
Q: What are the recommended use cases?
This model is ideal for generating portrait photography, character visualization, and any application requiring photorealistic human subjects. It's particularly effective for professional-looking headshots and full-body portraits with detailed skin rendering.
