Wan2.2-LightX2V-260412-4STEP-GGUF

This repository contains **GGUF-quantized versions** of the LightX2V Distilled Wan2.2 14B Image-to-Video Model. By quantizing the ultra-fast 4-step distilled models into the GGUF format, this repository allows for drastically reduced VRAM/RAM requirements while maintaining near real-time, high-performance video generation. We provide quantizations ranging from heavily compressed (Q3) to near-lossless (Q8) to fit your specific memory and quality requirements. Both **High Noise** and **Low Noise** versions are available.

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