Video Enhance AI is the perfect way to take good footage and make it great. Have you ever wanted your footage to look sharper with more detail? Take HD footage all the way up to 8K for use in high-quality projects. This model is perfect to use for:
DVD Content DSLR Footage Game Footage HD Stock Footage Restoring Low-quality Footage
Enhancing Footage up to 8K
Video Enhance AI is the perfect way to take good footage and make it great. Have you ever wanted your footage to look sharper with more detail? Take HD footage all the way up to 8K for use in high-quality projects. This model is perfect to use for:
Restoring Low-quality Footage
With Video Enhance AI, you can take your footage from SD to HD with an incredible increase in quality. This model is perfect for older footage that you want to repurpose for modern use. Older footage like:
Quality
Until now, no deep-learning based approach existed for video enlargement as a commercial product. Video Enhance AI is the only product that uses machine learning to extrapolate detail from your footage for a realistic look. The quality of output from Video Enhance AI is simply better than any other product available.
Training
Video Enhance AI was trained using a neural network that analyzes thousands of video pairs to learn how details usually get lost. Unlike Gigapixel AI for photos, Video Enhance AI is able to extrapolate more detail for an even more realistic look given the amount of information available in a single video clip.
Easy to Use
With just a few clicks of a button, your video footage will start rendering to create beautiful high-resolution quality footage. There are no complicated processes or confusing tools – just a few simple steps and your footage is ready to go.
What is the minimum hardware requirement for Video Enhance AI?
We suggest you run Video Enhance AI on high-end Nvidia graphic cards. The minimum requirement is GTX 1050 with 4 GB VRAM. Any graphic card later/better than GTX 1080 (included) will do a fairly fast job.
If you do not have an Nvidia graphics card in your device, the software can run on your Intel iGPU. Typically, it will be 5 times slower. If you do not have an Intel iGPU, the software will finally fall back to your CPU, which can be 10 times slower than the Nvidia GPU version.
Operating System Requirements for Video Enhance AI
Internet Access
All current Topaz Labs apps require an internet connection for user authentication and/or AI model downloading & updates.
The system requirements for Video Enhance AI are slightly different than the system requirements for our photography applications. Many of the requirements are the same or similar to our AI-based image applications, but there are some requirements unique to Video Enhance AI that may be more stringent.
Windows | 10 (build 19041 v2004 and above), Windows 11 |
Hardware Minimum Requirements
Processor (CPU) | Needs AVX2 Instructions Intel CPUs from ~2015 | Intel HD 5000 iGPU or above AMD CPUs from ~2016 |
|
System Memory (RAM) | 8GB (16GB and higher is recommended for improved performance) | |
Graphics Card (GPU) | Intel HD 5000 if running on CPU DirectX 12 compatible on Windows All GPUs are supported on Mac 10.15 and above, including the M1 |
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Dedicated Graphics Memory (VRAM) | 2 GB (8GB or more for optimum performance) |
Major features
- Support for Intel ARC GPUs
Improvements
- Nvidia GTX performance improved by 10-15%.
- M1 16GB machines performance improved by 15-20%.
- Reduce machine load allows M1 users to use the app without heating up.
- Fixes need to repeated login on certain machines
- Audio is now properly kept on Mac for certain input formats like wmv, vob etc.
Known Issues
- Comparison view output frames sometimes might be out of sync
- Certain mp4 videos crash the app on native M1, run app in rosetta2 for now
- Multiple file download sometimes gets stuck in model manager
- Using preset with batches messes up settings
- Avoid using output size of 8K or greater if using a machine with less than 32GB or memory
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