ProHawk Vision Workstation vs SeedVR2
ProHawk Vision Workstation
prohawk.aiSeedVR2
github.comSide by side
| Figure | ProHawk Vision Workstation | SeedVR2 |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 1 |
| Spec score · AI Video Restoration Software | 7.1 (#24) | 8.1 (#9) |
| Purpose | Restores degraded video and images for forensic work, live viewing, and video analysis. | SeedVR2 is a one-step diffusion-transformer model for video restoration at any resolution. |
| Security | The technical sheet specifies AES-256 encrypted hashing for file handling; the product page also describes username and password authentication for live camera and VMS streams. | A release note says model loading was restricted to tensor-only deserialization to prevent code execution from malicious .pth files. |
| Support | The datasheet lists sales and support by phone at +1-800-902-6972. | The repository invites questions by email at [email protected]. |
Plans
ProHawk Vision Workstation
- Perpetual licensePrice not published
- Subscription licensePriced on request
In their own words
ProHawk Vision Workstation
ProHawk Vision Workstation has no write-up on Specifiction yet; its figures are above.
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.