Video-model researchers can evaluate distilled streaming generation with released code and model resources. Core capabilities include Few-step video generation, Joint distribution matching, Marginal frame supervision, and Streaming rollouts.
Public code or model weights are linked from the project, with setup instructions for running or adapting the system. Additional characteristics include Semantic alignment, Visual-quality preservation, Released model resources, and Public inference code.
