IC-Light: Revolutionary AI Image Relighting Tool | Free Demo

What is IC-Light?

IC-Light is a groundbreaking image processing project that focuses on intelligent manipulation of lighting in images. Developed by lllyasviel, the creator of ControlNet and Fooocus, IC-Light leverages advanced AI techniques to enable users to effortlessly achieve complex lighting effects and relight images with remarkable precision and consistency.

Two Powerful Relighting Models

IC-Light offers two types of models to meet different user needs and preferences:

1. Text-Conditioned Relighting Model

This model allows users to describe the desired lighting conditions using natural language. By providing a text prompt like “warm atmosphere at home” or “sci-fi neon lights,” the model interprets the description and adjusts the lighting of the input image accordingly, giving users creative control over the final result.

2. Background-Conditioned Model

This model takes a foreground image as input and automatically infers suitable lighting conditions based on an additional background image. By analyzing the background, the model harmonizes the lighting of the foreground image to create a cohesive and natural-looking scene.

Diverse Applications

IC-Light has a wide range of potential applications across various fields, including:

• Image Editing: Adjust lighting conditions in images to achieve specific visual effects or styles.
• Film and Game Production: Create consistent lighting effects for characters or scenes to enhance the visual experience.
• Augmented Reality (AR) and Virtual Reality (VR): Simulate realistic lighting effects in virtual environments.
• Portrait Photography: Enhance or alter the appearance of portraits by changing the lighting conditions.

Easy to Use

Getting started with IC-Light is straightforward:

1. Clone the repository using the Git command:

   git clone https://github.com/lllyasviel/IC-Light.git

2. Navigate to the project directory:

   cd IC-Light

3. Create and activate a new Python 3.10 environment using Conda:

   conda create -n iclight python=3.10
   conda activate iclight

4. Install PyTorch, ensuring you select the version compatible with your CUDA version (if using GPU):

   pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121

5. Install the project dependencies using pip:

   pip install -r requirements.txt

6. Run the text-conditioned relighting model:

   python gradio_demo.py

For the background-conditioned demo, use:

   python gradio_demo_bg.py

7. The models will be automatically downloaded when running the above scripts.

Online Demo and Examples

IC-Light provides an official Hugging Face Space link (https://huggingface.co/spaces/lllyasviel/IC-Light) where users can try out the online demo. The project also offers sample images and prompts showcasing the effects under different lighting conditions and how changing the lighting preferences influences the final image appearance.

Impressive Results

The example images demonstrate IC-Light’s ability to dramatically transform the lighting and atmosphere of a scene. From warm, golden hour glow to cool, sci-fi neon lights, IC-Light enables users to achieve stunning lighting effects with ease. By adjusting the lighting direction and intensity, users can create images that evoke specific moods and styles.

Conclusion

IC-Light represents a significant advancement in AI-powered image relighting. With its user-friendly interface, diverse applications, and impressive results, IC-Light empowers users to manipulate lighting in images like never before. Whether you’re a professional photographer, a digital artist, or simply someone who enjoys experimenting with image editing, IC-Light opens up a world of creative possibilities.

For the latest information on IC-Light’s features and capabilities, please refer to the official GitHub page.