These models are the result of a partial NVFP4 quantization of Wan2.2-I2V-A14B-Moe-Distill-Lightx2v by lightx2v, produced using convert_to_quant by silveroxides. Some layers have been kept on their original BF16 format, while others were quantized as MXFP8 or NVFP4, mostly.
Wan2.2-I2V-A14B-Moe-Distill-Lightx2v is an image-to-video generation model built on Wan2.2-I2V-A14B. It applies step distillation and a MoE architecture to reduce inference to 4 steps without CFG, cutting generation time substantially while preserving output quality.
IMPORTANT
Since NVFP4 is only supported on NVIDIA Blackwell architecture GPUs, running this model requires a Blackwell GPU with its corresponding support enabled in torch, along with a recent version of ComfyUI and comfy-kitchen built against CUDA 13.