SD3.5-Large-Turbo-HyperRealistic-LoRA
| Property | Value |
|---|---|
| License | CreativeML OpenRAIL-M |
| Base Model | stabilityai/stable-diffusion-3.5-large-turbo |
| Training Images | 30 |
| Network Dimensions | 64 |
| Training Epochs | 15 |
What is SD3.5-Large-Turbo-HyperRealistic-LoRA?
This is a specialized LoRA model designed to enhance Stable Diffusion 3.5 Turbo's capabilities in generating hyper-realistic images. Built by prithivMLmods, it utilizes a carefully crafted training regime with constant learning rate scheduling and AdamW optimization to achieve superior realism in generated images.
Implementation Details
The model employs sophisticated training parameters including a network alpha of 32, noise offset of 0.03, and multires noise iterations of 10. It's implemented using the Diffusers library and requires the trigger word "hyper realistic" for optimal results.
- Trained with florence2-en labeling for natural language processing
- Utilizes bfloat16 precision on CUDA-enabled devices
- Implements noise discount of 0.1 for enhanced detail generation
Core Capabilities
- Hyper-realistic image generation with enhanced detail
- Optimized for portrait and environmental photography
- Supports various lighting conditions and compositions
- Efficient processing with 4/8-step inference
Frequently Asked Questions
Q: What makes this model unique?
The model's combination of carefully tuned hyperparameters and focused training on just 30 high-quality images makes it particularly effective at generating hyper-realistic results while maintaining efficiency.
Q: What are the recommended use cases?
This model excels in generating photorealistic portraits, environmental photography, and detailed scenes where realism is paramount. It's particularly effective when combined with the trigger word "hyper realistic".
