WanVideo Tea Cache (native)

WanVideoTeaCacheKJ

Patch WanVideo model to use TeaCache. Speeds up inference by caching the output and applying it instead of doing the step. Best results are achieved by choosing the appropriate coefficients for the model. Early steps should never be skipped, with too aggressive values this can happen and the motion suffers. Starting later can help with that too. When NOT using coefficients, the threshold value should be about 10 times smaller than the value used with coefficients. Official recommended values https://github.com/ali-vilab/TeaCache/tree/main/TeaCache4Wan2.1

Pack: KJNodes for ComfyUI

custom_nodes.ComfyUI-KJNodes

Inputs (6)

Name	Type	Required
model	MODEL	required
rel_l1_thresh	FLOAT	required
start_percent	FLOAT	required
end_percent	FLOAT	required
cache_device	COMBO	required
coefficients	COMBO	required

Outputs (1)

Name	Type
model	MODEL