HitPaw VikPea vs SeedVR2
HitPaw VikPea
hitpaw.comSeedVR2
github.comSide by side
| Figure | HitPaw VikPea | SeedVR2 |
|---|---|---|
| Price from | $8.33/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 6 | 1 |
| Spec score · AI Video Restoration Software | 9.1 (#1) | 8.1 (#9) |
| Spec score · AI Video Upscalers | 9.1 (#3) | 8.3 (#11) |
| Purpose | VikPea enhances video with AI, including 4K/8K upscaling, noise removal, blur repair, and restoration of damaged videos. | SeedVR2 is a one-step diffusion-transformer model for video restoration at any resolution. |
Plans
HitPaw VikPea
- Free trialFree
- 1 Month License$43.19 a month
- 1 Year License$99.99 a year
- Perpetual License$350.39, paid once
- Annual Team Plan$459.95 a year
- Annual Business PlanPriced on request
In their own words
HitPaw VikPea
HitPaw VikPea enhances video with AI tools for upscaling to 4K or 8K, reducing noise, repairing blur, and restoring damaged footage. Its listed models cover sharpening, portraits, video quality repair, UHD restoration, frame interpolation, and stabilization. Color tools include colorization, color enhancement, low-light enhancement, and SDR-to-HDR conversion. The product supports formats such as MP4, MOV, MKV, AVI, FLV, and WMV, and says it can generate videos from text or images using models including Kling, Pixverse, VEO, and Seedance. HitPaw also offers a video and image enhancement API with MCP integration; its API free plan provides 5,000 credits and access to all AI models for testing. The software is listed for Windows, macOS, web, iOS, and Android. The free license is preview-only, while paid licenses unlock features and video export. Listed plans include $43.19 a month, $99.99 a year, $350.39, paid once, and $459.95 a year for a team plan.
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.