Cutout.Pro vs Real-CUGAN

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.

Real-CUGAN is a free AI super-resolution model designed for anime images. It enlarges images by 2×, 3×, or 4× and offers denoising strengths, a conservative mode, and adjustable alpha. The 1× model is still in training. The English README describes five model weights for 2× and three each for 3× and 4×, covering different enhancement strengths. The Windows configuration processes both images and video, and the repository includes a video inference script. A linked NCNN implementation provides Windows, Linux, and macOS executables for Intel, AMD, Nvidia, and Apple-Silicon GPUs using Vulkan; its portable package includes binaries and models and states that it needs no CUDA or PyTorch runtime. Browser options include a demo and a Web-CPU version, though the README says the CPU demo is slow and recommends smaller images. Windows cache and tile settings can trade speed for lower GPU-memory use, including modes intended for very large images. The project also lists PyTorch and VapourSynth use paths and describes its architecture as compatible with Waifu2x-CUNet. The maker invites suggestions and requests through repository issues.