Skip to content
SPECIFICTION
Get listed

HitPaw VikPea vs SeedVR2

HitPaw VikPea

hitpaw.com

SeedVR2

github.com

Side by side

FigureHitPaw VikPeaSeedVR2
Price from$8.33/moFree
Free plan—Yes
Free trialYes—
Open source——
WebYes—
WindowsYesYes
macOSYesYes
Linux—Yes
iOSYes—
AndroidYes—
APIYes—
Self-hostedYesYes
Plans published61
Spec score · AI Video Restoration Software9.1 (#1)8.1 (#9)
Spec score · AI Video Upscalers9.1 (#3)8.3 (#11)
PurposeVikPea 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

HitPaw VikPea pricing →

SeedVR2

  • SeedVR2Free

SeedVR2 pricing →

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.

Visit hitpaw.com

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.

Visit github.com