| Property | Value |
|---|---|
| Author | ShadoWxShinigamI |
| License | CreativeML OpenRAIL-M |
| Training Images | 44 (768x768) |
| Vectors | 6 |
What is vray-render?
The vray-render is a specialized Textual Inversion Embedding model designed for Stable Diffusion 2.0 (768) that aims to replicate the popular V-Ray rendering style. Created by ShadoWxShinigamI, this model was trained on 44 high-quality images to capture the distinctive characteristics of V-Ray renders, known for their photorealistic lighting and materials.
Implementation Details
The model was trained using specific parameters including a batch size of 4, gradient accumulation of 11, and 6 vectors across 500 steps. The training was conducted on 768x768 resolution images to ensure high-quality output generation.
- Training dataset: 44 curated V-Ray style images
- Resolution: 768x768 pixels
- Batch size: 4 with gradient accumulation of 11
- Training steps: 500
Core Capabilities
- Generation of soft, V-Ray-style rendered images
- Versatile application across various subjects (architecture, vehicles, animals, humans)
- Compatible with Stable Diffusion 2.0 (768) model
- Alternative PNG embed format available for Auto1111 compatibility
Frequently Asked Questions
Q: What makes this model unique?
This model specifically targets the V-Ray rendering aesthetic, providing a specialized embedding that can be used to generate images with the characteristic soft, photorealistic look of V-Ray renders. It's particularly notable for its versatility across different subject matters.
Q: What are the recommended use cases?
The model is ideal for architectural visualization, product rendering, character visualization, and any application where a high-quality, V-Ray-like rendering style is desired. It's particularly effective for scenes that benefit from soft, realistic lighting and materials.