Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation"
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Updated
Feb 6, 2026 - Python
Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation"
Mixed-precision quantization scheme (16/8/4bit mixed quantization) for the Wan2.2-Animate-14B model. Compresses the original 35GB base model to 17GB, balancing inference performance and model size.
AI-powered prompt generator for video (Wan2.1/2.2, Hunyuan), image (SD, FLUX, Midjourney, DALL-E), and creative content. Local LLMs with GPU auto-detection.
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