This repo introduces LongCat-Video, a 13.6B-parameter model that handles text-to-video, image-to-video, and video continuation within a single framework. It uses block sparse attention and a coarse-to-fine strategy to produce minutes-long 720p/30fps videos without quality drift. The project also includes an audio-driven avatar extension with Whisper-based lip sync and distillation-accelerated inference.

• A single 13.6B-parameter model handles text-to-video, image-to-video, and video continuation, producing minutes-long 720p/30fps clips without quality drift.
• Avatar 1.5 (May 2026) switched from wav2vec2 to Whisper-Large-v3 for better lip sync, improved long-video stability, and added stylized domains like anime and animal content.
• Step-distilled inference cuts video generation down to just eight steps, with INT8 quantization also supported.