What is LuminaBrush
LuminaBrush is an interactive tool used to draw lighting effects on images. LuminaBrush is based on the Flux text-to-image project and uses a two-stage method: the first stage converts the image into a "uniform lighting" appearance, and the second stage generates specific lighting effects based on user scribbles. The two-stage method simplifies the learning process and avoids complex light transport constraints. LuminaBrush is trained based on synthetic random normals and relit images, and can handle details such as skin texture and hair.
Main features of LuminaBrush
- Flexible lighting adjustment: Users can adjust the intensity, direction, and color of lighting in real time, achieving a variety of effects from soft natural light to dramatic stage lighting.
- High-quality image processing: Handles complex image details, such as skin texture, hair, fur, and more.
- Interactive user experience: Provides an interactive interface where users can preview and modify lighting effects in real time through simple operations (such as scribbling and slider adjustments), improving creative efficiency.
Technical principles of LuminaBrush
- Two-stage processing framework：
- First stage: uniform lighting extraction: Based on a deep learning model, converts the input image into a "uniform lighting" state. The goal is to remove the original lighting information in the image and extract the base image illuminated by uniform lighting.
- Second stage: lighting effect generation: Based on user-provided scribbles or markings, the model generates specific lighting effects (such as shadows and highlights). Using user input as guidance, it combines deep learning models to generate lighting changes that match user intent.
- Deep learning models: Uses deep learning technology, based on the architecture of diffusion models (such as Flux). Trained on large amounts of image data, it learns how to extract the "uniform lighting" appearance from any input image and generate reasonable lighting effects.
- User interaction mechanism: Guides the model to generate lighting effects based on simple scribbles or markings. The model uses user input as guidance and combines deep learning to generate lighting changes that match user intent.
LuminaBrush project address
- GitHub repository：https://github.com/lllyasviel/LuminaBrush
- Online experience Demo：https://huggingface.co/spaces/lllyasviel/LuminaBrush
Application scenarios of LuminaBrush
- Digital art creation: Enhances the light and shadow effects of works and improves artistic expression.
- Game design: Adds dynamic lighting to characters and scenes to improve immersion.
- Film and television post-production: Adjusts the lighting atmosphere of the footage to enhance visual effects.
- Advertising design: Optimizes the light and shadow of product images to improve attractiveness.
- Education and training: Assists teaching and helps students understand lighting and image processing technology.