nv-tlabs/cosmos-transfer1-diffusion-renderer
Cosmos-Transfer1-DiffusionRenderer: High-quality video de-lighting and re-lighting based on Cosmos video diffusion framework
This project helps operations engineers and AI developers adjust lighting in existing images and videos without re-shooting them. You input existing footage, and it outputs new versions of that footage with different lighting, or even extracts detailed material and depth maps. This is ideal for training AI models to perform reliably in varied real-world lighting conditions.
786 stars. No commits in the last 6 months.
Use this if you need to create diverse training datasets for AI vision systems by altering illumination in existing video or image assets.
Not ideal if you are looking for simple, artistic video color grading or basic photo editing for social media.
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786
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Oct 02, 2025
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