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neural.love vs SeedVR2

neural.love

neural.love

SeedVR2

github.com

Side by side

Figureneural.loveSeedVR2
Price from—Free
Free plan—Yes
Free trialYes—
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
iOSYes—
AndroidYes—
APIYes—
Self-hosted—Yes
Plans published21
Spec score · AI Video Upscalers8.4 (#7)8.3 (#11)
SecurityThe privacy notice says it uses encryption, access controls, strong passwords, and two-factor authentication to protect stored data.A release note says model loading was restricted to tensor-only deserialization to prevent code execution from malicious .pth files.
SupportThe maker lists [email protected] as its technical support contact.The repository invites questions by email at [email protected].

Plans

neural.love

  • Pay-as-you-go creditsPrice not published
  • Subscription plansPrice not published

neural.love pricing →

SeedVR2

  • SeedVR2Free

SeedVR2 pricing →

In their own words

neural.love

neural.love provides browser-based tools to generate and edit images, enhance images and videos, and animate photos. Its AI art generator creates images from text prompts, with model and style choices; reference images and image editing are also supported. Image processing includes upscaling, sharpening, colorization, facial restoration, old photo restoration, and uncropping. Video tools can enhance or restore footage and turn static photos into MP4 videos. New accounts receive five free image generations in their first seven days, using Auto-Aesthetics v3 at default settings. Generation costs vary with image quantity, publicity settings, and HD mode. The API supports automated image generation and processing, bearer token authentication, and a default limit of 300 requests per five minutes. Commercial use is included. The service is available on web, Android, and iOS. The maker says uploaded files are stored privately, encrypted, and visible only to the user.

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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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