TomePatchModel - ComfyUI Built-in Node Documentation

The TomePatchModel node applies Token Merging (ToMe) to a diffusion model to reduce computational requirements during inference. It works by selectively merging similar tokens in the attention mechanism, allowing the model to process fewer tokens while maintaining image quality. This technique helps speed up generation without significant quality loss.

Inputs

Parameter	Description	Data Type	Required	Range
`model`	The diffusion model to apply token merging to	MODEL	Yes	-
`ratio`	The ratio of tokens to merge (default: 0.3). Higher values merge more tokens, resulting in greater speedup but potentially lower quality.	FLOAT	Yes	0.0 - 1.0

Outputs

Output Name	Description	Data Type
`model`	The modified model with token merging applied	MODEL

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Outputs