This manual provides a detailed introduction to the core AI video enhancement capability — RTX Rapid Upscaler AI. This technology combines cutting-edge artificial intelligence algorithms with GPU acceleration solutions to help users effortlessly enhance video quality, achieving clearer, more detailed, and realistic video experiences and creations.
What is RTX Rapid Upscaler AI
RTX Rapid Upscaler AI is a high-end video processing solution developed based on NVIDIA's RTX series GPUs and their AI capabilities. Using deep learning models, it intelligently enhances video quality, supporting features such as super-resolution upscaling, artifact removal, and HDR color enhancement.
Main advantages:
What is CUDA
CUDA (Compute Unified Device Architecture) is a general-purpose parallel computing architecture and development platform launched by NVIDIA, allowing developers to directly leverage the powerful computing power of GPUs, greatly improving the efficiency of scientific computing, AI inference, image processing, and other tasks.
Key Features of RTX Rapid Upscaler AI
- AI automatically fills in details to upscale low-resolution videos to higher resolutions (e.g., 1080P to 4K), resulting in clearer and more refined images.
- Repairs image quality degradation caused by compression and other factors, suitable for restoring old footage and upgrading video quality.
- Deep learning models detect and remove banding, blocking, mosaics, and other image artifacts.
- Ensures smooth color transitions and clean visuals.
- Supports HDR10 source input and output, fully preserving HDR10 metadata to maintain high dynamic range video quality.
To use RTX Rapid Upscaler AI or RTX RapidHDR AI, it is recommended to meet the following conditions:
It is advisable to close other high-load applications to fully allocate GPU resources for the best processing speed.
RTX Rapid Upscaler AI supports the following source video types and output requirements:
1. SDR/HDR Source Support
| Source Type | Supported Output Formats | Color Depth/Color Space | Output Description |
| SDR | H.264 / H.265 | 8-bit | Supports output of Standard Dynamic Range (SDR) videos, compatible with mainstream players. |
| HDR10 | H.265 | 10-bit | Supports output of High Dynamic Range (HDR10), 10-bit color depth videos, with HDR metadata preserved. |
2. Dolby Vision Source Support
| Dolby Profile | Output Type | Color Rendering | DOVI Metadata Preservation | Additional Notes |
| Profile 5 | SDR | Color anomalies | DOVI metadata not preserved | Does not correctly restore colors; processing Profile 5 Dolby sources is not recommended. |
| Profile 7/8 | HDR10 | Normal color | DOVI metadata not preserved | HDR colors display properly, but Dolby enhancement metadata is not retained. |
Summary:
Functional Positioning
Both deliver video enhancement and super-resolution upscaling but differ as follows:
Upscaler AI:
RTX Rapid Upscaler AI:
| Category | Model/Feature | Description |
| Video Upscaler AI | Speed Optimized | Provides the fastest processing speed, ideal for quick processing |
| Quality Optimized | Balances speed and quality, recommended for daily use | |
| Texture Model | Enhances details and textures, suitable for those pursuing ultimate image quality, requires high-performance GPU, slower speed | |
| Anime Model | Optimized for animation videos, with clear lines and enhanced image quality, specially designed for anime videos | |
| RTX Rapid Upscaler AI | General Purpose | Deeply integrates NVIDIA RTX Video technology with native CUDA acceleration, offers faster processing speed than the Upscaler function, but with weaker output quality |
Output Quality
Conversion Speed
- Test data (RTX 5060Ti 16GB, 1080P → 4K, 55-minute video):
- Upscaler AI: 1 hour 49 minutes 12 seconds
- RTX Rapid Upscaler AI: 9 minutes 7 seconds
Operating Environment
Similarities
Differences
- RTX Rapid Upscaler AI does not support SDR to HDR10 conversion.
- RTX RapidHDR AI does not support HDR10 or Dolby Vision input sources, while RTX Rapid Upscaler AI supports these.
- RTX Rapid Upscaler AI supports H264 and H265 outputs.
- RTX RapidHDR AI supports only H265 output.
| RTX Rapid Upscaler AI | RTX RapidHDR AI | |
| SDR to HDR10 Support | Not supported | Supported |
| HDR10 Input Support | Supported | Not supported |
| Dolby Vision Input Support | Supported | Not supported |
| Output Encoding Formats | H264, H265 | Only supports H265 |
| Processing Speed | Faster than Upscaler, but output quality is weaker than Upscaler | Faster than HDR Upconverter, but output quality is weaker than HDR Upconverter |
Can I use the related features without an NVIDIA RTX GPU?
No. RTX Video AI functions require NVIDIA RTX 20 series or above GPUs with CUDA support.
Why do I get an "Environment check failed" message?
Please confirm that your operating system, GPU model, and driver meet the required specifications; if not, the related functions will be disabled automatically.
How do I update the NVIDIA GPU driver?
Visit the NVIDIA official website to download and install the latest driver, or use GeForce Experience software for automatic detection and updates.
Any optimization suggestions for batch processing large video files?
It is recommended to import videos in batches, allocate sufficient disk space, and monitor device cooling. Batch settings can improve processing efficiency. Avoid moving or renaming source video files during conversion to prevent failures.
Why do the colors appear abnormal or Dolby marks disappear after processing Dolby Vision videos?
This technology does not currently support Dolby Vision metadata preservation. Profile 5 Dolby sources processed as SDR may show color abnormalities. Profile 7/8 outputs HDR10 with correct colors but no Dolby metadata. It is recommended to use HDR10 or SDR sources for enhancement.
¶ Final Notes
This guide is designed to help you make the most of UniFab RTX Rapid Upscaler AI. For additional help or inquiries, please visit our support page or contact customer service: service@unifab.ai.