2 links tagged with all of: text-to-video + video-generation
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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.
This article covers a service that turns plain text into HD cartoon videos in just a few minutes. It uses AI to generate characters, compose scenes, animate movements, and export the final clip—all without any animation skills.
- Generates HD cartoon videos from text descriptions in about three minutes
- Four-step workflow: write description, AI creates characters, AI animates scenes, export video
- Maintains character consistency across scenes and supports multiple aspect ratios for different platforms
- Requires no drawing tools or animation experience—just a text prompt