vray-render
Maintainer: ShadoWxShinigamI
54
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The vray-render model is a Textual Inversion Embedding created by ShadoWxShinigamI for the Stable Diffusion 2.0 (768) model. It is designed to generate images with a V-Ray Render style, resulting in slightly soft outputs. The model was trained on 44 images at 768x768 resolution with a batch size of 4, gradient accumulation of 11, and 500 training steps.
Similar models created by ShadoWxShinigamI include the SD2-768-Papercut and Midjourney-v4-PaintArt embeddings, which focus on Papercut and Midjourney-inspired art styles respectively.
Model inputs and outputs
Inputs
- Text prompts that describe the desired output image
Outputs
- Images generated based on the input text prompt, with a V-Ray Render style
Capabilities
The vray-render model can generate a variety of photorealistic images with a distinctive V-Ray Render aesthetic, including scenes like cabins, cars, lions, ships, and human portraits.
What can I use it for?
The vray-render model can be used to create visually striking and photorealistic images for a range of applications, such as digital art, product visualizations, or architectural renderings. Its unique style can also be useful for creative projects that require a specific look and feel.
Things to try
Experimenting with different prompts and prompt engineering techniques can help unlock the full potential of the vray-render model. Trying out various subjects, scene compositions, and combinations of keywords may result in unexpected and compelling outputs.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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