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Video Upscaling - SeedVR2 3B

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AI-Powered Video Upscaling & Quality Restoration

Restore, sharpen, and enhance degraded or low-quality videos to high resolution. SeedVR2 is ByteDance's one-step video restoration model that delivers results comparable to much slower tools, in a fraction of the processing time.

What it does

SeedVR2-3B is a video restoration and enhancement model developed by ByteDance Seed. It takes damaged, blurry, compressed, or low-resolution video footage and restores it to sharp, high-quality output. What sets SeedVR2 apart from previous AI video restoration tools is its speed: where most comparable tools require many processing passes to produce a good result, SeedVR2 achieves the same or better quality in a single pass. This makes it significantly faster and more cost-effective to run at scale, without meaningful sacrifice in output quality.

Problem it solves

  • Old or degraded footage – Restores heavily compressed, blurry, noisy, or low-resolution videos to sharp, high-quality output
  • Slow restoration pipelines – Most AI video restoration tools are slow and computationally expensive. SeedVR2 dramatically reduces processing time by completing restoration in a single step instead of many
  • High-resolution output – Handles high-resolution video restoration without the visual inconsistencies that commonly appear in other tools when scaling up
  • Real-world content – Designed to work on real-world footage, not just clean lab test videos

Input/Output

  • Input:
    • A degraded, low-quality, blurry, compressed, or low-resolution video
  • Output: A restored, high-resolution MP4 video file
    • Visually sharp with reconstructed details and textures where they were lost
    • Smooth, coherent motion throughout

Accuracy & Speed

  • Speed & Scale
Processing speed
Single-pass restoration (significantly faster than multi-step alternatives)
Infrastructure needed
Standard single GPU setup
Output quality
Comparable to or better than existing multi-step restoration tools

Technical Details

Architecture
3B diffusion-based video restoration model
Approach
One-step adversarial post-training (single inference pass)
Resolution handling
Adaptive window attention — dynamically adjusts to output resolution for consistent quality
Supported Frameworks
Hugging Face Diffusers
Developer
ByteDance Seed

Model Variants

SeedVR2 is available in two sizes to suit different needs:

Version
Best For
SeedVR2-3B
Faster processing, lower resource requirements
SeedVR2-7B
Higher quality output for more demanding use cases

Known Limitations

  • May struggle with very heavily degraded footage or scenes with very fast, large movements
  • On video that is already high quality (e.g., lightly compressed AI-generated content), it can occasionally over-sharpen, adding unnecessary detail
  • These are described by the team as prototype models, and real-world performance may vary

Compliance & Provenance

Provider
Open-source (ByteDance)
Provider type
Specialized
License
Apache 2.0 (ByteDance)
EU AI Act risk class
Minimal Risk
Art. 50 transparency
Not applicable
Region availability
Available globally
Training data summary
Pending — provider has not yet published per Art. 53(d)

For more on how we classify models and mark outputs, see our AI Policy.

Model Source