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SPECIFICTION
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Cutout.Pro vs SeedVR2

Cutout.Pro

cutout.pro

SeedVR2

github.com

Side by side

FigureCutout.ProSeedVR2
Price from$4.99/moFree
Free planYesYes
Free trial——
Open source——
WebYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
iOSYes—
AndroidYes—
APIYes—
Self-hosted—Yes
Plans published261
Spec score · AI Video Upscalers9.4 (#1)8.3 (#11)

Plans

Cutout.Pro

  • Subscription — 80 credits/month$5 a month
  • Subscription — 170 credits/month$9.90 a month
  • Subscription — 300 credits/month$16.90 a month
  • Subscription — 550 credits/month$29 a month
  • Subscription — 1000 credits/month$49 a month
  • Subscription — 1450 credits/month$69 a month
  • Pay as you go — 30 credits$4.99 a month
  • Pay as you go — 300 credits$39 a month
  • Pay as you go — 900 credits$79 a month
  • Pay as you go — 3000 credits$199 a month

Cutout.Pro pricing →

SeedVR2

  • SeedVR2Free

SeedVR2 pricing →

In their own words

Cutout.Pro

Cutout.Pro removes image backgrounds and can replace them with other backgrounds. It accepts JPG, PNG, WEBP and BMP files up to 15 MB, with output up to 4096 × 4096 pixels in PNG or JPG. An Erase & Restore brush lets users refine missed background areas or clipped foreground details. Batch processing is available; the Windows and Mac desktop app can process folders. Other access includes Android, iOS, Linux, web and API. Each upload receives a low-resolution preview without a watermark, account or credits, while an HD image download uses one credit. New accounts receive five credits without a credit card. The free plan is available, and the listed subscription with 80 credits per month costs $5 a month. Other subscription and pay-as-you-go credit packages are listed. Main-platform credit purchases have a 14-day refund guarantee, but Shopify App credit purchases are non-refundable. Cutout.Pro was founded in 2018 and is based in Kowloon, Hong Kong.

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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.

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