Ricebowl AI

FlashVSR is an AI-powered video super-resolution and restoration platform based on research from OpenImagingLab. The service is designed to upscale low-resolution or compressed video files to higher target resolutions, including 720p, 1080p, 2K, and 4K. By utilizing a single-step streaming diffusion architecture, it reconstructs visual details and reduces compression artifacts on cloud-hosted infrastructure, removing the need for local GPU setup. The platform supports MP4 video inputs and processes them using a temporal consistency engine powered by Locality-Constrained Sparse Attention. This technology aims to minimize common upscaling issues such as flickering and ghosting across video frames. Users can select their desired output resolution, and the system delivers the enhanced file in MP4 format. Additionally, API access is available to subscribers on the highest tier upon request. FlashVSR is intended for creators, studios, and enterprises involved in content creation and archival-restoration workflows. The hosted web service operates on a credit-based pricing model, offering a set amount of free credits upon sign-up alongside monthly and yearly paid subscription plans. The underlying technical framework is also open-source and accessible on GitHub and HuggingFace.

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