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Project Starlight is a groundbreaking AI research preview by Topaz Labs that transforms low-resolution and degraded video into HD quality.
It's the first-ever diffusion AI model for video enhancement and the only one to achieve full temporal consistency, ensuring seamless motion from frame to frame. Users can access the research preview online or in Video AI.
Access the current release here
Mar 6 Release: 4K exporting
Coming soon: Extended export time limits
Project Starlight uses diffusion technology for the clearest AI video enhancement to date. It upscales, enhances, denoises, de-aliases, and sharpens video—without any sliders or manual adjustments.
While popular tools like Runway and OpenAI's Sora use diffusion AI technology to generate new footage, Project Starlight has optimized it for improving existing footage. This “first” makes it a huge leap forward for video restoration and enhancement.
Interested in Project Starlight for extended commercial use prior to launch?
Each frame restored by Project Starlight is created by analyzing hundreds of frames surrounding it. This creates a smooth quality that has never been achieved in AI footage restoration before, called temporal consistency. It’s one of the most important breakthroughs in Project Starlight and signals a new future for video restoration.
While existing video enhancement models utilize GAN technology, the switch to diffusion is one key to Project Starlight's major quality boost.
Unlike existing GAN models, Project Starlight’s models have a great understanding of semantics, what objects actually are, and how motion and physics work—so they can make things look more natural with less to work with.
Currently, diffusion models are larger and slower than existing methods, so Project Starlight is only available in cloud rendering. It will continue to evolve in development—pushing for speed and size in the coming months.
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“Topaz’s models are top-notch and help bridge the gap between fast iteration and final-quality output.”
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“Topaz’s models are top-notch and help bridge the gap between fast iteration and final-quality output.”
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“Topaz’s models are top-notch and help bridge the gap between fast iteration and final-quality output.”
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“Topaz’s models are top-notch and help bridge the gap between fast iteration and final-quality output.”
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“Topaz’s models are top-notch and help bridge the gap between fast iteration and final-quality output.”
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“Topaz’s models are top-notch and help bridge the gap between fast iteration and final-quality output.”
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“Topaz’s models are top-notch and help bridge the gap between fast iteration and final-quality output.”
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