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.
Remember that you need to download the high and low noise models in order for your Wan 2.2 workflow to work.
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.
