SD3.5-Large-Turbo-HyperRealistic-LoRA
| Property | Value |
|---|---|
| Base Model | stabilityai/stable-diffusion-3.5-large-turbo |
| License | CreativeML OpenRAIL-M |
| Training Images | 30 |
| Network Parameters | Dim: 64, Alpha: 32 |
What is SD3.5-Large-Turbo-HyperRealistic-LoRA?
This is a specialized LoRA adaptation designed to enhance the hyper-realistic capabilities of Stable Diffusion 3.5 Turbo. Developed by prithivMLmods, it's specifically trained to generate highly realistic images using a carefully curated dataset of 30 images over 15 epochs.
Implementation Details
The model utilizes an AdamW optimizer with a constant learning rate scheduler, incorporating advanced features like noise offset (0.03) and multires noise iterations (10). Training parameters were specifically tuned with network dimensions of 64 and alpha of 32 to achieve optimal results.
- Specialized noise processing with 0.03 offset and 0.1 discount
- 20 repeats with 2.2k steps
- Florence2-en labeling for natural language processing
- Requires "hyper realistic" trigger word for optimal results
Core Capabilities
- Generation of hyper-realistic portraits and human subjects
- Enhanced detail in lighting and atmospheric effects
- Improved handling of complex scenes and compositions
- Specialized in capturing realistic textures and materials
Frequently Asked Questions
Q: What makes this model unique?
This model combines the speed of SD3.5 Turbo with specialized hyper-realistic training, making it particularly effective for generating highly detailed, realistic images while maintaining efficient processing times.
Q: What are the recommended use cases?
The model excels at creating portrait photography, fashion shots, and detailed human subjects. It's particularly effective when combined with the trigger phrase "hyper realistic" in prompts.
