WanVideo TeaCache

WanVideoTeaCache

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: ComfyUI-WanVideoWrapper

custom_nodes.ComfyUI-WanVideoWrapper

Inputs (6)

Name	Type	Required
rel_l1_thresh	FLOAT	required
start_step	INT	required
end_step	INT	required
cache_device	COMBO	required
use_coefficients	BOOLEAN	required
mode	COMBO	optional

Outputs (1)

Name	Type
cache_args	CACHEARGS