Refocused vs SeedVR2
Refocused
refocused.aiSeedVR2
github.comSide by side
| Figure | Refocused | SeedVR2 |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 1 |
| Spec score · AI Video Upscalers | 8.1 (#13) | 8.3 (#11) |
| Spec score · AI Video Restoration Software | 8.0 (#12) | 8.1 (#9) |
| Support | Users can contact support by email or submit a support ticket, which requires sign-in. | The repository invites questions by email at [email protected]. |
Plans
In their own words
Refocused
Refocused is desktop software for enhancing and restoring video with AI models that process footage on the user's machine. Its seven model families cover super-resolution, diffusion restoration, interpolation, denoising, depth estimation, and segmentation. The Refocus model provides motion-aware 4× super-resolution, and a flagship workflow chains it with Regenerate-Q. In the Refine workspace, users can apply tracked object masks, select by depth threshold, reprocess specific regions, and create synthetic depth-of-field focus. Compare offers synchronized A/B playback and up to 8× zoom for inspecting frames. Output can reach 8K and includes 10-bit ProRes, HDR, and image sequences; listed formats include H.265/H.264, ProRes, VP9, AV1, PNG, JPEG, and TIFF. Processing works offline after installation and activation, though license validation and model updates periodically need internet access. A free trial includes full processing and all models, with watermarked output. The Full license is $64.99 as a one-time purchase and includes unlimited local processing, up to five devices, and one year of updates.
SeedVR2
SeedVR2 is an open-source model for restoring video at arbitrary resolutions, with a one-step diffusion-transformer approach that does not add a separate diffusion prior. Its official ComfyUI release can upscale both video and images and provides four nodes to control the pipeline. A standalone command-line interface supports batch and multi-GPU workflows. Inputs may be RGB or RGBA images and video; the documented model choices are 3B and 7B, with FP16, FP8, and quantized GGUF options. Model offloading, VAE tiling, and BlockSwap are available to manage memory during inference. The research describes adaptive window attention, which adjusts window size to output resolution, and adversarial post-training for high-resolution restoration. Standalone installation instructions cover Windows, macOS, and Linux, including Apple Silicon MPS support. Input height and width must be multiples of 32, and the demo crops resized inputs to meet that constraint. SeedVR2 is licensed under Apache 2.0, and released inference code and model weights are linked from the repository. The plan is free.