The method freezes the H3 transformer and video VAE and adds a trained refiner LoRA. It upsamples the encoded video in latent space, reintroduces noise, and performs a three-step diffusion pass before decoding the refined sequence at the requested resolution.
The model is useful for developers who want self-hosted video refinement with visible implementation details. Its released SoL-Engine integration provides an alternative to a hosted regeneration stage and exposes the components needed to study quality, speed, and resolution tradeoffs.
