This is a partial NVFP4 quantization of Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v by lightx2v, produced using convert_to_quant by silveroxides.
Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v is an image-to-video generation model built on Wan2.1-I2V-14B-480P. It applies step distillation and classifier-free guidance distillation 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.
The model can be used in ComfyUI with the following parameters, based on the distilled model's own recommendations:
Shift: 5.0
Sampler: LCM
Scheduler normal
CFG: 1.0
Steps: 4
Other combinations are possible, such as euler/simple and heun/linear_quadratic.
Description
Switched FP8 layers to MXFP8
Created rank 64 LoRA during quantization process
Used 8192 calibration samples
Used 6000 iterations
FAQ
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.