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IC Light
IC-Light
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IC Light
AI image editingAI image enhancement#Image Processing#Machine Learning#Lighting Manipulation#HDR#Normal MapsStandard PicksOpen Source
Overview :
The IC-Light project aims to manipulate lighting conditions of images using advanced machine learning techniques to achieve consistent lighting effects. It offers two types of models: text-based re-illumination models and background-based models, both of which take the foreground image as input. The significance of this technology lies in its ability to achieve precise control over image lighting without depending on complex prompts, simply through text descriptions or background conditions. This is of great importance for fields such as image editing, augmented reality, and virtual reality.
Target Users :
["Image Editor: Utilize IC-Light for professional lighting adjustments on images to enhance quality.","Augmented Reality/Virtual Reality Developers: Adjust lighting in virtual scenes through IC-Light for a more realistic visual effect.","Designers: Quickly preview design schemes under various lighting conditions during design work."]
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Top Region： US(19.34%)
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Use Cases
Adding a warm atmosphere lighting effect to a portrait using the text-based re-illumination model.
Creating cinematic lighting effect on a portrait with the background-based re-illumination model.
Adjusting lighting in a virtual reality scene with IC-Light to simulate natural or artificial lighting sources.
Features
Text-based Re-illumination Model: Allows users to manipulate image lighting through text prompts.
Background-based Model: Enables image lighting control without complex prompts.
Automatic Model Download: Simplifies the user's operational process.
Consistent Lighting: Achieves highly consistent re-illumination effects by blending light sources in HDR space.
Normal Image Combination: The model can generate highly consistent re-illumination effects and even merge different re-illuminations into normal maps.
Multiple Lighting Preferences: Supports users in selecting different lighting preferences as needed.
How to Use
Step 1: Visit IC-Light's GitHub page and download the project.
Step 2: Install the necessary dependencies according to the project documentation.
Step 3: Select and download the required model files.
Step 4: Run the selected re-illumination model using the provided script.
Step 5: Enter text prompts or select background conditions to manipulate image lighting.
Step 6: Adjust lighting preference settings to achieve the desired lighting effect.
Step 7: Review the re-illuminated image output by the model, and further edit or combine as needed.
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