LingBot World V2 Brings Real-Time Interactive Video Generation
Overview
lingbot-world-v2-14b-causal-fast is a 14 billion parameter video generation model developed by robbyantthat generates interactive video sequences from image and text prompts with agentic character and environment control. The model uses a causal transformer architecture built on the Wan2.2 framework, trained with a carefully designed causal pretraining paradigm to achieve unbounded interaction horizons—meaning it can generate arbitrarily long video sequences while maintaining visual consistency. The fast variant is specifically distilled for real-time inference, capable of driving 720p video streams at 60 frames per second. It generates output at 480p resolution with frame counts up to 361 frames in the tested configuration, processes video chunk-by-chunk using KV caching to manage memory efficiently, and requires PyTorch 2.4.0 or higher along with flash-attention for optimized inference. The model is distributed through Hugging Face and ModelScope under a CC BY-NC-SA 4.0 license, restricting commercial use while permitting research and academic applications with proper...
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